Investigating key latent factors influencing alcohol consumption among the tribal male adolescents in Dooars region, West Bengal

BACKGROUND

Alcohol consumption among tribal male adolescents in India is a significant social concern. Tribal adolescents are particularly vulnerable and tend to lean toward alcohol addiction. Therefore, it is crucial to introduce some necessary footsteps to reduce alcohol consumption. The primary objective of this study is to investigate the association of various latent factors with the alcohol-drinking behavior of tribal adolescents.

METHODS

The study collected data from 600 tribal adolescents from the Dooars region, with 241 of them reported consuming alcohol. The study aimed to confirm the theoretical development of hypotheses regarding peer pressure, parental discord, stress, attitude toward alcohol, and food insecurity as exogenous latent factors influencing the alcohol-drinking behavior of tribal adolescents. In this context, the study adopted both measurement and structural models using Partial Least Squares-Structural Equation Modeling (PLS-SEM).

RESULTS

The findings revealed a significant path relationship between alcohol drinking behavior and various exogenous factors like peer pressure (β = 0.214, p = .000), parental discord (β = 0.121, p = .009), stress (β = 0.170, p = .000), attitude toward alcohol (β = 0.110, p = .004), and food insecurity (β = 0.510, p = .000). This study developed a reflective measurement model, and the evaluation of reflective measurement models was conducted, assessing internal consistency, convergent validity, and discriminant validity, yielding satisfactory results.

CONCLUSION

To tackle alcohol issues among tribal adolescents in the Dooars region, effective strategies should be employed. These include educating in schools, highlighting tribal role models, aiding peers with alcohol dependence, providing life skills training, and addressing parental discord and food insecurity through awareness campaigns, workshops, and better infrastructure.

The effect of broad bean diet on structure, flavor and taste of fresh grass carp: A comprehensive study using E-nose, E-tongue, TPA, HS-SPME-GC-MS and LC-MS

Broad bean (Vicia faba L.) has received particular attention with regards to the improvement of flesh meat quality. However, the effect of broad bean diet on structure, flavor and taste of flesh meat is unclear. In present study, E-nose, E-tongue, TPA, HS-SPME-GC-MS, and LC-MS were used to characterize the structure, flavor and taste of grass carp (Ctenopharyngodon idellus) fed with broad bean. Overall, broad bean significantly improved the texture of grass carp muscle, but reduced the overall taste and flavor. The 50 volatile compounds were detected using HS-SPME-GC-MS. The 252 differential metabolites were identified by LC-MS, of which 107 were up-regulated and 145 were down-regulated. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated this reduction in taste and flavor was associated with the metabolism of amino acids, lipids and nucleotides. Our findings provide a theoretical basis for improving meat quality and the functional applications of broad bean.

The Multiple Promoting Effects of Suaeda glauca Root Exudates on the Growth of Alfalfa under NaCl Stress

Under abiotic stress, plant root exudates can improve plant growth performance. However, studies on the effect of root exudates on the stress resistance of another plant are insufficient. In this study, root exudates (REs) were extracted from Suaeda glauca to explore their effect on alfalfa seedlings under salt stress. The results showed that the plant height and fresh weight of alfalfa significantly increased by 47.72% and 53.39% after 7 days of RE treatment at a 0.4% NaCl concentration. Under 1.2% salt stress, REs reduced the Malondialdehyde content in alfalfa by 30.14% and increased the activity of its antioxidant enzymes (peroxidase and catalase) and the content of its osmotic regulators (soluble sugar and proline) by 60.68%, 52%, 45.67%, and 38.67%, respectively. Soil enzyme activity and the abundance of soil-beneficial bacteria were increased by REs. Spearman analysis showed that urease and neutral phosphatase were related to the richness of beneficial bacteria. Redundancy analysis confirmed that urease affected the composition of the soil bacterial community. The partial least squares structural equation model (PLS-SEM) revealed that REs had a direct positive effect on alfalfa growth under salt stress by regulating the plant's injury and antioxidant systems, and the soil bacterial community had an indirect positive effect on alfalfa growth through soil enzyme activity.

Determinants of the transition towards circular economy in SMEs: a sustainable supply chain management perspective

Small and medium-sized businesses (SMEs) increasingly know the benefits of improving resource efficiency and closing loops. These benefits include lowering material costs, establishing competitive advantages, and gaining access to new markets. As a consequence of implementing new regulations, manufacturing companies, particularly those in the automobile industry, are compelled to modify and change their business practices related to the circular economy (CE). More stringent the implementation of environmentally responsible policies and strengthening environmental regulations. CE is the most important factor in improving environmental conditions since it reduces waste and boosts output. This facet calls for the attention of fresh academics and policymakers with years of relevant expertise. Recent studies have investigated how green logistics management might improve a company's overall performance in terms of environmental responsibility. However, we believe that the connection between environmentally responsible companies is not a direct one but rather one that is mediated by the practices of circular economies. We investigate the direct and indirect effects of the environmentally responsible impact of proper logistics management on organizations' overall environmental performance via the application of circular economy practices. Our theoretical underpinnings are the resource-based viewpoint and the resource dependence theory. This research also investigates whether or not the traceability of the supply chain has a mitigating influence on the connections. We evaluated the hypotheses using the PLS-SEM method, drawing on the empirical data provided by 245 Chinese factories considered modest or medium size. The results demonstrate that the management of green logistics has a constructive effect on circular economy practices and businesses' sustainability performance. In addition, although it greatly impacts circular economy practice among SMEs, supply chain traceability does not attenuate the connection between eco-friendly supply chain management and environmental impact. Green logistics management in SMEs is linked to improved sustainability performance via the circular economy practice. To further verify the efficacy of the mediation, we also ran the sober test. Our results strengthen knowledge of circular economy, environmentally friendly logistics management practices, and sustainability performance while advancing natural resource-based planning and the resource dependence theory, which are the two approaches. Given the scarcity of information research analyzing the interplay between these factors, our results are very significant.

Developing a success model of a social student relationship management system

Social media's significance in higher education has increased due to its capacity to enhance participation, communication, teamwork, and information sharing. Important notifications, updates, and reminders can be promptly received by all members of the university community, assuring that information is shared with everyone. The objective of this study is to develop a model for a Customer Relationship Management (CRM) system in higher education that is based on social media and intends to increase student satisfaction, loyalty, and profitability. It blends the idea of trust with Delone Mclean success model. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to evaluate the data that was gathered from 606 Jordanian private university students via an online survey. The findings demonstrated that user satisfaction affects social media usage and that system quality, information quality, service quality, and trust must all be considered to attain user satisfaction. This study examines how to create a CRM system based on social media in Jordanian universities. The study makes significant contribution to the development criteria for evaluating social media-based CRM systems in higher education institutions, and its broad conceptual model cloud be expanded and tested in future studies. This study is the first to investigate the use of social media to develop a CRM system for Jordanian universities. This is a novel study, and the work significantly create a set of criteria for evaluating social media-driven CRM systems in higher education. The study's expansive the model may serve as the base for more research in this field.

Reimagining Medication Adherence: A Novel Holistic Model for Hypertension Therapy

Purpose

Patients' adherence to the prescribed therapy is influenced by several personal and social factors. However, existing studies have mostly focused on individual aspects. We took a holistic approach to develop a higher-level impact factor model.

Patients and Methods

In this independent, non-interventional, cross-sectional and anonymous study design the pharmacist recruited patients who entered the pharmacy and handed in a prescription for a blood pressure medication. The patients received a paper questionnaire with a stamped return envelope to volunteer participation. A total of 476 patients in Germany who reported having at least high normal blood pressure according to the Global Hypertension Practice Guidelines were surveyed. In this study, each patient received an average of 2.49 antihypertensive prescriptions and 7.9% of all patients received a fixed-dose combination. Partial least squares structural equation modeling was performed for model analytics since it enables robust analysis of complex relationships.

Results

Emotional attitude, behavioral control, and therapy satisfaction directly explained 65% of therapy adherence. The predictive power of the out-of-sample model for the Q2-statistic was significant. The patient's overall therapy satisfaction determined medication adherence. The medication scheme's complexity also influenced the adherence levels. Therapy satisfaction was significantly shaped by the complexity of the medication scheme, behavioral control, and emotional attitude. The results demonstrated the superior performance of fixed-dose combinations against combinations of mono-agents according to the adherence level. Additionally, patient-physician and patient-pharmacist relationships influenced behavioral control of medication therapy execution. According to the A14-scale to measure the level of adherence, 49.6% of patients were classified as adherent and the remainder as non-adherent.

Conclusion

The results enable healthcare stakeholders to target attractive variables for intervention to achieve maximum effectiveness. Moreover, the proven predictive power of the model framework enables clinicians to make predictions about the adherence levels of their hypertensive patients.

COVID-19 home remedy consumption and perceived effectiveness among adult population in Brunei Darussalam: a PLS-SEM approach

BACKGROUND

The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 affects the respiratory system and causes severe acute respiratory infections. Several cultures have influenced the use of home remedies to ease mild symptoms of COVID-19 sometimes alongside conventional medicine. The aim of this study was to investigate the usage of COVID-19 home remedies among the adult population in Brunei.

METHODS

The study design was a cross-sectional study using an online survey and distributed nationwide. The statistical analysis of the data included descriptive statistics describing the sociodemographic characteristics of the respondents, their experience with COVID-19 infection, consumption of general home remedies and COVID-19 home remedy, their practice of COVID-19 home remedy use, and their attitude towards the general use of home remedy. Sub-group analysis including Pearson's chi-square test and Fisher's exact test was computed for the variables in relation to the COVID-19 home remedy use and the perceived effectiveness of the types of home remedy. Multivariate analysis including Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to determine the correlations between the factors and outcomes measured. P-value less than 0.05 is considered statistically significant.

RESULTS

There was a total of 864 eligible responses included in the study. The primary findings showed COVID-19 home remedy was used by 72.2% of the study participants. Most frequently used types of COVID-19 home remedy were cloves (37%), lemon (37%), and honey (23%). There was an infrequent usage of coconut (4.6%), eucalyptus oil (3.7%), habbatussauda (3.5%), traditional/ herbal cough syrup (2.4%), and turmeric (2.2%). The PLS-SEM demonstrated that 'Experience' appears to be a central endogenous variable that affects the decision on the use of COVID-19 home remedy. This relationship is mediated by 'Safety', 'Source', and 'Opinion' which have significant contributions to the outcome, accounting for 98.2% of the variance explained (R-square = 0.982).

CONCLUSIONS

The outcome of this study establishes the baseline prevalence of COVID-19 home remedy consumption among Bruneian residents and compared the previous study on Brunei's general use of traditional medicine. The present findings could help nurses and other healthcare professionals in Brunei understand the practice of Bruneian adults on the consumption of home remedies for COVID-19.

Analysis of surface water area dynamics and driving forces in the Bosten Lake basin based on GEE and SEM for the period 2000 to 2021

As an inland dryland lake basin, the rivers and lakes within the Lake Bosten basin provide scarce but valuable water resources for a fragile environment and play a vital role in the development and sustainability of the local societies. Based on the Google Earth Engine (GEE) platform, combined with the geographic information system (GIS) and remote sensing (RS) technology, we used the index WI2019 to extract and analyze the water body area changes of the Bosten Lake basin from 2000 to 2021 when the threshold value is -0.25 and the slope mask is 8°. The driving factors of water body area changes were also analyzed using the partial least squares-structural equation model (PLS-SEM). The result shows that in the last 20 years, the area of water bodies in the Bosten Lake basin generally fluctuated during the dry, wet, and permanent seasons, with a decreasing trend from 2000 to 2015 and an increasing trend between 2015 and 2019 followed by a steadily decreasing trend afterward. The main driver of the change in wet season water bodies in the Bosten Lake basin is the climatic factors, with anthropogenic factors having a greater influence on the water body area of dry season and permanent season than that of wet season. Our study achieved an accurate and convenient extraction of water body area and drivers, providing up-to-date information to fully understand the spatial and temporal variation of surface water body area and its drivers in the basin, which can be used to effectively manage water resources.

Supply chain in transition navigating economic growth and environmental sustainability through education

The growing interest in the Management of Eco-Friendly Supply Chains warrants this study. Green supply chain management (GSCM) is an approach to supply chain management (SCM) that takes into account environmental factors. Therefore, GSCM is vital in shaping the cumulative environmental effect of businesses engaged in supply chain operations. In addition, GSCM may help improve the effectiveness of sustainability initiatives. Manufacturing companies, particularly in developing nations like India, are trying to adjust essential procedures and supply chains because of the rising need to be ecologically sustainable. However, such efforts must be deployed strategically to be ecologically sustainable and economically successful. As a result, this study focuses on the relationship between green supply chain management and education that affect environmental sustainability and economic performance. As a further step toward more sustainable development, the mediating function of education is sustainable economic growth and environmental health. The data was collected by distributing a well-crafted questionnaire to manufacturing facilities in India. We employed PLS-SEM to analyze and interpret the data test hypotheses based on data from 415 replies. The findings point to cost and profit as the primary metrics of corporate success. Disposal of trash, usage of resources, and release of greenhouse gases are alternative measures of environmental sustainability. Distributed online links and in-person interviews with employees at companies throughout India who use GSCM procedures provided the basis for the study's primary data set. The data was gathered with the use of an organized survey form. The findings of tests conducted on the hypotheses were considered. According to this research, cost, profit, waste, resource, and GHG emission impacts vary depending on which GSCM techniques are implemented. Green supply chain management strategies significantly affect price, trash disposal, resource utilization, and GHG emissions. There was no discernible trend between GSCM methods and financial success. In addition to discussing the unique elements of sustainable supply chains and the limits of current research, this article also discusses how a company's bottom line will benefit monetarily from establishing a sustainable supply chain. This should inspire more study in this area. Our investigation revealed patterns and voids, and we used that information to outline a thorough plan for future GSCM studies. The research helps manufacturing company management improve their sustainable policies while providing policymakers with pointers.

Monitoring grey water footprint and associated environmental controls in agricultural watershed

The grey water footprint (GWF) is an advanced index linking pollution load and water resources. However, the existing agriculture-related GWF was developed based on hydrological processes, which limits its role in watershed water pollution level (WPL) measurements. The main scope of this study is to calculate GWF and WPL based on runoff, total nitrogen (TN), and total phosphorus (TP) observations in the Hujiashan Watershed of China's Yangtze River Basin. Partial least squares structural equation modeling (PLS-SEM) was utilized to explore the impact pathways of environmental features on GWF and WPL. On this basis, propose measures for the management of this agricultural watershed. The results showed that the TN concentration had a V-shaped trend in 2008-2015, while the TP gradually decreased. The GWF calculations for the TN and TP were compatible with the temporal trends for the concentrations, which were higher in the wet season (0.45 m3/m2 for TN, 0.10 m3/m2 for TP) than in the dry season (0.11 m3/m2 for TN, 0.02 m3/m2 for TP) and increased from upstream to downstream. The WPLs of TN exceeded 2.0 in the midstream and downstream areas, whereas those for TP were inconspicuous. According to PLS-SEM, the GWF is primarily influenced by topographical variables and hydrological features, whereas the WPL is mainly controlled by hydrological features and landscape composition. Fertilizer reduction and efficiency measures should be implemented on farmland and appropriately reducing farming activities on slopes to relieve the GWF and WPL in the watershed.

Decoupling the effects of air temperature change on soil erosion in Northeast China

Changes in the air temperature tend to indirectly affect soil erosion by influencing rainfall, vegetation growth, economic development, and agricultural activities. In this study, the partial least squares-structural equation model (PLS-SEM) was used to decouple the impacts of temperature change on soil erosion in Northeast China from 2001 to 2019, and the indirect effect of temperature change on the pathways of natural and socioeconomic factors was analyzed. The results showed that temperature increase in Northeast China caused an increase in soil erosion by increasing rainfall and promoting economic development. Under the pathway of natural factors, in spring, the promoting effect on soil erosion under the influence of temperature change on rainfall was greater than the inhibiting effect on soil erosion under by the influence of temperature change on vegetation. In summer, the opposite effect was observed. Under the pathway of natural factors, over time, the promoting effect of temperature increase on soil erosion increased by 22.7%. Under the pathway of socioeconomic factors, temperature change not only aggravated soil erosion by promoting economic development, but also indirectly increased investments in agriculture and water conservation by improving the economy, thus inhibiting soil erosion to a certain extent. Over time, the contribution of temperature change to soil erosion through socioeconomic pathway was reduced by 44.4%. When the pathway of natural factors is compared with that of socioeconomics factors, temperature change imposed a more notable effect on the change in soil erosion through the socioeconomic pathway, indicating that human activities are the driving factors with a greater effect on soil erosion. Based on this, reasonable human intervention is an important means to alleviate soil erosion aggravation caused by rising temperatures.

Research on the impact and mechanism of digital capabilities and digital finance on household wealth in the context of aging

China has entered a period of synchronous development between digitalization and aging. Based on the data from the China Household Finance Survey (CHFS), the partial least squares structural equation model (PLS-SEM) and multi-group analysis were used to analyze the impact mechanism of digital capabilities and digital finance on the wealth of elderly households. The results indicate that digital capabilities and digital finance can improve the wealth level of households headed by the elderly through direct and indirect paths. The indirect effects of digital capabilities and digital finance on elderly household wealth are all exerted through the node of business and property income, and entrepreneurship/investment are mediating variables. Moreover, digital capabilities have a greater impact on the wealth of elderly households in the central and western China regions, while digital finance has a greater impact in the eastern China regions. In addition, there is no significant difference in the effect of digital capabilities on business and property income across regions, while digital finance has a larger effect in the eastern region. The above conclusions can provide theoretical and practical support for realizing active aging and common prosperity in different countries and regions.

Determinants of satisfaction and continuance intention towards online food delivery service users in Indonesia post the COVID-19 pandemic

The COVID-19 pandemic has resulted in behavioural changes in the way people consume food in Indonesia, because people tend to use online food delivery (OFD) services to order food after the pandemic. In line with this, application-based OFD service providers in Indonesia such as GoFood, GrabFood, ShopeeFood, and others are growing year after year, creating competition among OFD service providers. On the other hand, now that the COVID-19 pandemic condition has begun to improve, people may return to ordering food in the traditional manner, namely by visiting restaurants directly without using the OFD service application. As a result, it may jeopardize the stability of the OFD service business. As a result, the purpose of this study is to investigate the factors that influence the satisfaction and intent of OFD service users in Indonesia to continue using OFD services in the future. The Unified Theory of Acceptance and Use of Technology (UTAUT2), Expectancy Confirmation Model (ECM), online review, online rating, and online tracking were all combined to do structural equation modeling (SEM) using the PLS-SEM approach. Data were gathered using an online poll of 325 respondents who have used OFD services. According to the findings of the structural model analysis, effort expectancy, hedonic motivation, price-saving orientation, and confirmation all have a direct impact on the level of satisfaction of OFD service users. Meanwhile, performance expectancy, habit, online review, and satisfaction all influence the intention to continue using OFD services. The findings of this study can be used as a reference for OFD service providers as a service improvement strategy, as well as to expand the literature on consumer behaviour regarding OFD services and provide a foundation for future research.

Bookkeeping practices and SME performance: The intervening role of owners' accounting skills

Aside from statutory requirements, Small and Medium-Sized Enterprises (SMEs) hardly take into consideration reliable accounting systems. Therefore, poor and ineffective bookkeeping has contributed to the collapse of some SMEs. This paper examines the intervening role of owners' accounting skills in the relationship between bookkeeping practices and the performance of SMEs in the Ho Municipal Assembly of Ghana using a sample of 296 SMEs. In a structural equation modelling (SEM) framework, the Smart Partial Least Squares (Smart-PLS) software is employed to analyse the relationships between owners' accounting skills, bookkeeping practices, and the performance of SMEs. We find that bookkeeping practices and owners' accounting skills have significant positive effects on the performance of SMEs. Most importantly, we show the existence of a significant indirect relationship between bookkeeping practices and SME performance such that owners' accounting skills positively intervenes the relationship between bookkeeping practices and SME performance. Thus, in the presence of higher owners' accounting skills, the relationship between bookkeeping and the performance of SMEs is strengthened further. In a typical emerging economy context, while appropriate regulatory bodies, such as the National Board for Small Scale Industries (NBSSI), in the Ghanaian context, and local revenue collection authorities could put forth measures like periodic compliance audits to ensure that registered SMEs are managed by skilled personnel, fostering them to meet basic requirements for keeping records and managing their accounts to improve their performance, it is worth acknowledging that the onus lies on SME managers to recognise the relevance of good recordkeeping and account management practices to ensure sustained business performance.

Analysis of water quality influencing factors under multi-source data fusion based on PLS-SEM model: An example of East-Liao River in China

Owing to alterations in the environment and human activities, the quality of surface water is declining. Despite a substantial number of studies on the factors that impact water quality, there is still a need for a better understanding of the major causes of water quality degradation. This study fused multi-source data using partial least squares structural equation modeling to evaluate the effects of weather, soil composition, and geographical features on the water quality of the East Liao River (ELR), Jilin Province, China. The impacts of land-use practices on water quality at different buffer scales were analyzed. The most significant correlation between land use and water quality was observed at a distance of 4 km. The severity of water pollution was significantly influenced by soil type, with a path coefficient of 0.689 (p < 0.001). Conversely, landscape factors exhibited a notable adverse effect, indicated by a path coefficient of -0.608 (p < 0.001). Additionally, meteorological factors exhibited a significant impact, with a path coefficient of 0.463 (p < 0.001). The indirect effects of landscape elements on water quality were also examined. Water quality could be indirectly influenced by landscape through soil factors, as evidenced by a path coefficient of -0.572 (p < 0.01). In this study, new ideas for studying water quality drivers using multi-source data fusion are introduced. Managers can leverage the findings of this study to improve their decision-making and effectively address water quality issues in ELR located in Jilin Province, China.

Unlocking green innovation and environmental performance: the mediated moderation of green absorptive capacity and green innovation climate

This study extends the foundations of the natural resource-based view (NRBV) by introducing a mediation-moderation framework by analyzing the influence of green intellectual capital (GIC) on both green innovation performance (GIP) and environmental performance (EP) while simultaneously considering the mediating role of green absorptive capacity (GAC) and the moderating influence of the green innovation climate (GICL). The data for this study was gathered from a sample of 575 participants employed within small and medium enterprises' (SMEs') manufacturing firms. This dataset was utilized to evaluate the proposed model; this study uses the PLS-SEM approach to comprehensively examine the complex interactions among these variables. This model adds to the theoretical understanding of NRBV and enhances its practical applicability. The findings of this study reveal a positive relationship between GIC, GAC, GIP, and EP within organizations. Furthermore, our investigation reveals a positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. Importantly, this research introduces a novel perspective by clarifying the complex relations among these variables and highlighting the positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. This novel approach enhances the theoretical understanding of NRBV and its practical applicability in fostering GIP and EP within manufacturing SMEs operating in Pakistan.

Is it me or others who matter? The interplay between consumer values vis-à-vis status and affiliation motives as shapers of meat alternative interest

This study is about the role of consumers' personal values (Self-enhancement, Openness to change, Self-transcendence, and Conservation) in consumers' interest towards meat alternatives. In addition, the underlying role of two social motives, status and group affiliation are analysed. A conceptual model with hypotheses was developed and validated, and the hypotheses were tested through PLS-SEM with data from four European countries (Finland, the UK, Germany, and Sweden, total N = 3600). The results show that self-focused personal values (Self-enhancement and Openness to change) are not associated with consumers' interest towards meat alternatives. The case is different with other-focused values. Self-transcendence had a positive connection to interest while Conservation had a negative relationship. Finally, the data suggest an underlying role of social motive status between Self-enhancement and interest and the same for group affiliation between Self-transcendence and Conservation and interest. Based on the results, strategies to support meat alternative adoption such as value activation through priming, cognition and emotion-driven marketing are proposed.

Unveiling the impact on corporate social responsibility through green tax and green financing: a PLS-SEM approach

In today's global business landscape, the concepts of green financing and green tax have become pivotal instruments for fostering environmentally responsible practices. The purpose of 20this study is to comprehensively assess how green financing and green tax collectively influence CSR through various dimensions, including employees, customers, and communities. This research employs a partial least squares structural equation modeling (PLS-SEM) approach, which allows for a rigorous analysis of the complex relationships between the variables involved. Data is collected through surveys, enabling a quantitative evaluation of the impacts and interdependencies. The results indicate that green financing has a positive and significant impact on CSR through customer (β = 0.609), employee (β = 0.522), and community (β = 0.509) dimensions. The results also show that green tax has a positive and significant impact on CSR through customer (β = 0.183), employee (β = 0.182), and community (β = 0.296) dimensions. The findings of this study provide a deeper understanding of how green financing and green tax practices correlate with CSR, both separately and collectively. The implications of this research extend to multiple stakeholders. For businesses, the results offer strategic insights into how environmentally conscious financial practices align with CSR objectives. Policymakers can draw upon the findings to craft effective regulatory frameworks that incentivize sustainable business behavior. Additionally, stakeholders gain valuable insights into how businesses can harmonize economic success with environmental stewardship, promoting engagement with socially responsible entities. This research marks a distinct contribution to the academic landscape by delving into the synergistic impact of green financing and green tax on CSR, particularly within the distinctive context of Bangladesh. In doing so, it successfully addresses a noticeable void within the existing literature, providing fresh insights into the intricate dynamics and opportunities confronting businesses in developing nations.

Strategy development to increase consumer intention of purchasing prescription drugs through e-pharmacy in Indonesia

BACKGROUND

The global COVID-19 pandemic has forced people to obtain health products and services from home. Similar to other e-commerce, medicines are bought online and delivered using a courier service.

OBJECTIVE

By being fully concerned to patient safety, this study aims to determine development strategies to increase intention in purchasing prescription drugs through e-pharmacy.

METHODS

Two stages of measurement are employed in this study, namely confirmatory factor analyis using PLS-SEM and pairwise comparison using AHP method. To discover consumer perception in using e-pharmacy, the basic model of Theory of Planned Behavior (TPB) is employed with several extensions.

RESULTS

The results of PLS-SEM express that Trust has a major role as an intervening variable to enhance the indirect effect of Subjective Norms and Perceived Values on Purchase Intention. In general, PLS-SEM structural model is declared "fit" (GFI = 0.93 ≥ 0.90; RMSEA = 0.045 ≤ 0.08; SRMR = 0.033 ≤ 0.05). Measurement model test proves that all selected indicators are valid to represent their related constructs (Loading Factor ≥ 0.50), and all selected constructs are reliable to build the whole path model (CR ≥ 0.7; AVE ≥ 05). Meanwhile, the results of AHP indicate that strengthening government policies and regulations is prioritized to increase consumer intention of purchasing prescription drugs through e-pharmacy, followed by protection of user confidential data in the second place. Those two eigenvectors are 0.236 and 0.185 respectively.

CONCLUSION

Future research is suggested to add perceived risk as latent variable in the study of consumer behavior for any high-risk products.

The Role of Initial Trust in the Behavioral Intention to Use Telemedicine Among Filipino Older Adults

This study investigated the behavioral intention of Filipino older adults toward using telemedicine and the pivotal role of initial trust in influencing this intention. A cross-sectional method was employed, involving a questionnaire administered to 180 participants using convenience sampling. The structural model test results indicate that subjective norm, attitude, and notably, initial trust positively impact the behavioral intention to use telemedicine, whereas perceived behavioral control does not significantly affect intention. This underscores the significance of subjective norm and attitude in shaping behavioral intention, consistent with the Theory of Planned Behavior (TPB), while the extended construct of initial trust played a crucial role in influencing the attitude and intention of older adults, highlighting its importance in technology adoption. The study aligns with the trend of increased telemedicine adoption during the COVID-19 pandemic, emphasizing the need for trust in sensitive healthcare contexts. Establishing initial trust is vital for successful telemedicine implementation among Filipino older adults, enhancing healthcare accessibility and well-being.

Transformational leadership and organizational learning culture in the health sector: The mediating and moderating role of intrinsic work motivation

BACKGROUND

Transformational leadership and organizational learning culture have become exciting topics to be explored over the last few decades. However, several previous studies have shown certain inconclusive findings regarding the link between transformational leadership and organizational learning culture.

OBJECTIVE

This study fills this gap by developing a clear model and aims to examine the extent of the impact of (1) transformational leadership on organizational learning culture and intrinsic work motivation, (2) intrinsic work motivation on organizational learning culture, (3) intrinsic work motivation in mediating and moderating the relationship between transformational leadership and organizational learning culture.

METHODS

The data of this study are collected from employees working at the community health center in Indonesia. A partial least squares (PLS) based structural equation modeling (SEM) technique is used to analyze the data by utilizing the SmartPLS 3.0 software package.

RESULTS

First, the results concluded that transformational leadership has a significant impact on organizational learning culture and intrinsic work motivation. Second, intrinsic work motivation has a significant impact on organizational learning culture. Third, intrinsic work motivation fully mediates the relationship between transformational leadership and organizational learning culture. Also, intrinsic work motivation moderates these variables' relationships.

CONCLUSION

The theoretical model of previous research on the relationship between transformational leadership and organizational learning culture with intrinsic work motivation as a mediator and moderator variable has yet to be fully developed both in public and private organizations, particularly in the health sector.

Effects of different soil and water conservation measures on plant diversity and productivity in Loess Plateau

Many soil and water conservation measures (SWCM) have been implemented in the Loess Plateau of China, and they have an impact on ecosystems all levels and involve complicated mechanisms. Previously, studies typically focused on a single factor's effect on diversity or productivity. With this background, the current investigation embarked on an extensive study, with vegetation survey conducted in the no measure plots (NM), vegetation measure plots (VM) and engineering measure plots (EM) in the Loess Plateau of China. We used structural equation models (SEM) to explain the mechanism by which SWCM affects plant productivity and diversity. VM have direct effects on plant diversity, and EM have direct effects on soil properties and community structure. The two measures also had indirect effects on plant functional traits and community structure. The results show that the changes in plant functional traits and community structure by SWCM decreased plant diversity, whereas the increase of productivity was primarily dominated by improvements in community structure, and we conclude that variability in plant diversity and productivity across different measures on the Loess Plateau was primarily due to the responses of different plants to variable soil properties and the community responses. It was also emphasized that vegetation measures were beneficial to the increase of biomass per plant, while engineering measures were more beneficial to the growth of dominant species. These findings provide a theoretical foundation for vegetation management and restoration after the application of different SWCM.

Spatio-temporal distribution and dynamics of antibiotic resistance genes in a water-diversion lake, China

The distribution and dynamics of antibiotic resistance genes (ARGs) in water-diversion lakes are poorly understood. In this study, two comparative in situ investigations of ARG profiles targeting water diversion (DP) and non-diversion periods (NDP) were conducted in Luoma Lake, a vital transfer node for the eastern route of the South-to-North Water Diversion Project in China. The results demonstrated significant spatiotemporal variations in ARG contamination and notable differences in the co-occurrence patterns of ARGs and bacterial communities between DP and NDP. Correlations among ARGs with the 16 S rRNA, and mobile genetic elements indicate that horizontal gene transfer (HGT) and vertical gene transfer (VGT) in NDP, but only HGT in DP, were the primary mechanisms of ARG proliferation and spread, implying that water diversion could be an essential control of the transfer pattern of ARGs in a lake environment. The null model analysis indicated that stochastic processes, with predominant driver of ecological drift in the lake mainly drove the assembly of ARGs. Partial least squares structural equation modeling was developed to analyze the causal effects of the factors in shaping ARG dynamics and identify the major driving forces in the DP and NDP.

Exploring medical students' metacognitive and regulatory dimensions of diagnostic problem solving

Solving clinical problems requires an individual to apply not only domain-specific medical knowledge and cognitive skills for reasoning, but also to be consciously aware of, monitor, and evaluate their thinking processes (i.e., metacognition). The purpose of this study was to map critical metacognitive dimensions of clinical problem solving and to explore the structural relationships among them, which may help frame a conceptual framework and better pedagogy for effective intervention. A context-specific inventory was adapted and modified from a domain-general instrument to capture essential metacognitive skills for learning and solving clinical problems. This inventory was administered to 72 undergraduate medical students to survey their capabilities in five dimensions: knowledge of cognition, objectives, problem representation, monitoring, and evaluation. The interplay among these dimensions was further examined using partial least squares structural equation modeling.Our findings revealed that the medical students fell short of some expert-like, metacognitive, and regulatory competence, even after receiving years of medical education and on-site training. In particular, they did not know when a holistic understanding of a problem had been reached. Many of them often do not have a set of clear diagnostic procedures in mind, nor do they concurrently monitor their thinking during diagnostic reasoning. Moreover, their lack of self-improving approaches seemed to worsen their learning. Finally, the structural equation model indicated that knowledge of cognition and objectives significantly predicted problem representation, suggesting that medical learners' knowledge of and goals for learning are influential in framing the clinical problems at hand. A significant linear prediction path was observed from problem representation, monitoring, to evaluation, signifying a possible sequenced process of clinical problem solving. Metacognitive-based instruction can help improve clinical problem-solving skills and awareness of potential biases or errors.

Evaluation of popular science tourism in Guangzhou HEMC based on PLS-SEM

Science popularization is not only a prerequisite for national development, but also an effective means of enhancing citizens' personal quality. All sectors of society, represented by colleges and universities, bear the responsibility of promoting popular science. The integration of popular science and tourism in popular science tourism serves to advance both the field of popular science and the tourism industry simultaneously. The Guangzhou Higher Education Mega Center (HEMC) possesses abundant resources for science popularization and has the potential to develop popular science tourism, yet its current development in this area remains insufficient. This study utilizes Guangzhou HEMC as a case study and modifies the American Customer Satisfaction Index model by incorporating relevant questions pertaining to popular science tourism. A total of 280 valid questionnaires were collected through surveying, which were then analyzed to measure tourist satisfaction using the Tourist Satisfaction Index. The partial least squares structural equation model was employed for analysis, and on the basis of calculation results, the IPA map was constructed. The research revealed that tourists' satisfaction with popular science tourism at Guangzhou HEMC was suboptimal. Among the factors correlating to satisfaction, expectations, quality, and price are all important factors to consider when making a purchase decision; however, prioritizing expectations and quality can lead to greater satisfaction in the long run. Therefore, there is still ample room for improvement in the popular science tourism of HEMC Guangzhou. This can be achieved by intensifying publicity efforts, enhancing infrastructure, improving the quality and safety of catering services, strengthening the introduction and construction of popular science content, as well as appropriately reducing the price of popular science products and services.

Achieving resilience through knowledge management practices and risk management culture in agri-food supply chains

The problems with the current food distribution system are laid forth in this study. Getting high-quality agricultural and food products to consumers is the goal of what is known as the "agri-food supply chain." Agri-food supply chain knowledge exchange and risk management culture are being studied, as is the effect of supply chain management methods on business success. We are seeing an increase in the regularity of supply chain interruptions. The recent supply chain interruptions and their associated consequences highlight the necessity for robust supply systems. The primary goal of this research is to examine the interplay between critical antecedents of the agri-food supply chain; supply chain resilience (including risk management culture); supply chain connectivity, visibility, collaboration, and agility; and the effect these factors have on supply chain resilience and, ultimately, firm performance. With the same foundational elements and backing from the literature, an empirical model has been suggested. From September 2020 to June 2021, 245 random samples were collected throughout Indonesia for this investigation. The suggested model and the interdependencies among the crucial antecedents have been verified using partial least squares-structural equation modeling (PLS-SEM). Findings from this study support the notion that agri-food supply chains benefit from increased emphasis on traceability, transparency, information sharing, and a culture of risk management. One major takeaway from this study is that by adopting the suggested methodology, businesses may build and strengthen their supply chain resilience capabilities by institutionalizing a risk management culture, raising employee risk awareness, and holding regular risk assessment drills. The study also suggests that businesses that want to strengthen their supply chains can do so by adopting information and communications technologies and visibility tools to improve their supply chain connectivity and visibility, allowing them to respond to and recover from disruptions in the supply chain more quickly. The model is validated using data from Indonesia's industrial sector. In order to establish supply chain resilience, the suggested model provides a comprehensive perspective that defines the interconnections between key antecedents. We conclude with some thoughts and suggestions for further study.

Payment Behavioral Response Mechanisms for All-Age Retrofitting of Older Communities: A Study among Chinese Residents

Intergenerational integration has given rise to a novel aging paradigm known as all-age communities, which is garnering international attention. In China, the aging population and the implementation of the three-child policy have resulted in increased demand for retirement and childcare services among residents in older neighborhoods. Consequently, there is a pressing need to retrofit these older neighborhoods to accommodate all-age living arrangements given the high demand they generate. Therefore, this study undertakes research interviews with residents and constructs an exploratory theoretical model rooted in established theory. To assess the significance of our model, we employ Smart PLS 3.0 based on 297 empirical data points. Our findings indicate that anxiety has a significant negative effect on payment behavior; objective perception, willingness to pay, and government assistance exert significant positive effects on payment behavior. By comprehensively analyzing the mechanisms underlying residents' payment behavior, this study provides valuable insights for the government for promoting the aging process within communities and formulating effective transformation policies.

More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites

Recently, a study compared the effect size and statistical power of covariance-based structural equation modeling (CB-SEM) and path analysis using various types of composite scores (Deng, L., & Yuan, K.-H., Behavior Research Methods, 55, 1460-1479, 2023). This comparison uses nine empirical datasets to estimate eleven models. Based on the meta-comparison, that study concludes that path analysis via weighted composites yields "path coefficients with less relative errors, as reflected by greater effect size and statistical power" (ibidem, p. 1475). In our paper, we object to this central conclusion. We demonstrate that the justification these authors provided for comparing CB-SEM and path analysis via weighted composites is not well grounded. Similarly, we explain that their employed study design, i.e., a meta-comparison, is very limited in its ability to compare the effect size and power delivered across these methods. Finally, we replicated Deng and Yuan's (ibidem) meta-comparison and show that CB-SEM using the normal-distribution-based maximum likelihood estimator does not necessarily deliver smaller effect sizes than path analysis via composites if a different scaling method is employed for CB-SEM.

Unveiling the role of supply chain parameters approved by blockchain technology towards firm performance through trust: The moderating role of government support

This research study aims to reveal the role of supply chain parameters approved by blockchain technology toward firm performance through trust. This study has also examined the moderating role of government support between trust and firm performance. The underlying theories reinforce the usefulness and flexibility of a supply chain in regulating daily fluctuations and uncertainties in supply and demand. Blockchain technology adoption with supply chain tactics provides a more suitable environment for better firm performance. Governments address legal and security concerns related to blockchain technology and provide clear guidelines and standards for its use in supply chains, which build trust among firms and stakeholders. A conceptual model has been developed with the assistance of past empirical research studies and associated theories. This research study has examined the following relationships from a sample of 465 employees from textile industrial firms listed on the Pakistan Stock Exchange. The current research study assesses these parameters using the partial least squares structural equation modeling (PLS-SEM) method. The analysis showed that supply chain parameters (alignment, agility, adaptability) approved by blockchain technology positively correlate with firm performance. Trust positively mediated the relationship between supply chain parameters approved by blockchain technology and firm performance. Furthermore, government support positively moderated the relationship between trust and firm performance. The study would provide directions for further research. These findings will give the global supply chain industry valuable insights into blockchain technology for firm performance. In theory, this research study would contribute to the scientific literature by answering how trust and government support affect the overall firm performance.

Recognizing the preventive quality in the adoption of innovations: The case of third-party ownership photovoltaic systems in Finland

This study explores the role of the preventive quality of innovations on their adoption intention. The preventive quality of innovations is a distinctive feature of innovations that is directed towards avoiding a future, possibly harmful event. Empirically grounded in third-party ownership of photovoltaic systems in Finland, this study examines data collected from an online survey measuring respondent intention to adopt. A series of hypotheses theoretically grounded in the Diffusion of Innovations theory and the preventive quality of innovations were tested through Partial Least Squares Structural Equation Modeling with SmartPLS4. Findings for the overall sample reveal that the preventive quality and the relative advantage of innovations influenced adoption intention positively. Findings highlight the preventive quality of innovations as a construct that acts as the greatest contributor to the dependent variable.

The impact of CSR and green consumption on consumer satisfaction and loyalty: moderating role of ethical beliefs

The present study introduces an innovative conceptual framework for analyzing the influence of corporate social responsibility and green consumption on customer satisfaction and loyalty. The study employed a quantitative methodology, wherein data was gathered through face-to-face surveys from a sample of 329 participants in Pakistan during the period from November 2022 to February 2023. The collected data was subsequently subjected to analysis using partial least squares structural equation modeling (PLS-SEM). The results demonstrate that corporate social responsibility (CSR) has a significant and positive impact on consumer satisfaction, which subsequently serves as a significant predictor of loyalty. The research findings indicate a significant correlation between consumers' ethical beliefs, specifically idealism and relativism, and their engagement in green consumption. Furthermore, it is observed that green consumption positively influences consumer satisfaction. Additionally, the research revealed that the variables of idealism and relativism do not exert a moderating influence on the association between corporate social responsibility (CSR) and consumer satisfaction. The results underscore the significance of managers directing their attention towards cultivating more robust customer relationships through the prioritization of satisfaction within their corporate social responsibility (CSR) initiatives. This study aimed to assess a theoretical framework that delineates the fundamental connections between corporate social responsibility (CSR), green consumption, consumer satisfaction, and loyalty. While prior research has predominantly concentrated on corporate viewpoints and employee attitudes towards CSR, this research sought to fill the gap by examining the aforementioned relationships from a consumer perspective.

Impact of the internet on English language learning among university students: mediating role of academic self-efficacy

The internet is a valuable resource in a technologically evolved society. The extant literature suggests that their scientific and educational usages are still limited. The current study asserts that the internet can provide new learning environments and opportunities for Chinese university students, hence increasing their motivation to learn. Particularly, the current study considers this to be the case for learning a foreign language (English), which leads to more efficient and effective language learning experiences, as well as more positive attitudes toward the efficiency of the internet for educational purposes. Purposive and convenience sampling techniques were employed to gather data from 15 public and private Chinese universities (406 students), those who are currently enrolled in English language courses. The analysis was performed using partial least squares-structural equation modeling (PLS-SEM) on smart PLS 4 software. Results revealed that student's attitude toward the use of internet positively and significantly influence English language learning. Moreover, the mediating variable academic self-efficacy positively and significantly mediates the relationship between students' attitude toward use of internet and English language learning. The current study recommends that students' academic self-efficacy in learning a new language can be enhanced by giving them opportunities to learn internet skills. Further, students' confidence in their academic abilities can be boosted using student-centered teaching strategies.

Which qualities should built environment possess to ensure satisfaction of higher-education students with remote education during pandemics?

The built environment may be considered a complex system comprising several parts (including people, organizations, and physical structures). Since the emergence of the COVID-19 virus in recent years, there has been an explosion in the usage of mobile learning applications for classroom instruction. Research on the diffusion of mobile learning is lacking. This study examines the perceptions and experiences of many aspects of online education from the viewpoint of Chinese HEIs and university students who shifted to online modes of instruction during the COVID-19 outbreak. This research aimed to determine whether or not college students were happy with the resources available to them, how their teachers communicated with them, how they were evaluated, and the conditions in which they studied at home. It also looked at the pros and cons of online learning from the students' points of view. For this study, researchers opted for a cross-sectional survey using an online questionnaire. Information was gathered from 450 students from different Chinese tertiary institutions. To this end, we reflect on the experiences and perspectives of postgraduate students in urban design and discuss the results of an online survey conducted during the 2021-2022 academic year's subject delivery period, which included activities such as assessment, feedback, field study visits, workshops, and the use of digital platforms. PLS-SEM, which stands for partial least square structural equation modeling, is used in order to evaluate the proposed model. Therefore, the findings show that the research model offered for this investigation could explain the diversity in the actual use of mobile learning systems. This would provide helpful insight into the effect of educational, environmental, and quality factors on the actual use of remote education systems. It was shown that quality concerns acted as a mediator between institutional policy, change management, and the implementation of mobile learning systems in actual classrooms. The findings also indicate that the level of pleasure students feel acts as a moderating factor between the degree to which the mobile learning system is used and its overall level of quality. According to the findings of these studies, academic institutions may enhance their use of mobile learning applications and get more benefits from these systems if they adhere to the suggestions stated in these studies.

De-contextual communication: Factors influencing usage intentions of metaverse technology in digital library services

This study aims to investigate the factors influencing the usage intentions of metaverse technology in digital library services within higher learning institutions, using the unified system information theory. To achieve this, an online survey was conducted among university staff and students, utilizing a link-scale measurement. Various factors affecting the usage intention of metaverse technology in library services were computed through transformation models such as UTAUT, DM, ISS, and TTF. Subsequently, the model parameters were empirically tested using partial least squares structural equation modeling (PLS-SEM) to identify the significant factors influencing the usage intention of metaverse technology. The results of the study reveal that users' intentions to use metaverse technology in digital library systems are influenced by perceptions of system use, perceived interaction, perceived usefulness, and perceived ease of use. Notably, these influences vary depending on the user's intended task. These findings provide valuable insights into the factors that affect the adoption and usage intentions of metaverse technology in the context of digital library services in higher learning institutions. This research contributes to enhancing understanding and guiding future strategies for leveraging metaverse technology effectively in educational environments.

Digital technology and its application in supply chain management: new evidence from China's economy

The purpose of this article is to investigate the influence that practices using information technology (IT) have on the development of a competitive advantage across the supply chain. An organization has a competitive advantage when it has qualities that give the required foundations for it to separate itself from other organizations that are also in its industry. Pressure is applied to the corporate environment as a result of competition and ongoing changes, such as the introduction of new products and technical advancements, the decline of product lifestyles, and the proliferation of products. In order to maintain a competitive edge and achieve financial success in business, organizations are necessary for responding to changes in the market. Through the use of supply chain markets, companies are able to react quickly to unforeseen shifts in the market, and these shifts may be turned into lucrative business possibilities. One of the most significant things that firms can do to assist themselves is make use of information technology to improve their supply chain management agility. From March 2021 through January 2022, the area of China will have a total sample size of 247 persons fill out a questionnaire as part of the data collection process. In each and every questionnaire, the measurements were taken using a Likert scale with five points. The partial least square-structural equation modeling (PLS-SEM) approach is used to the causal model in order to assess the model's reliability and validity. This technique is used to evaluate the causal model. The findings indicate that information technology has a favorable impact on the adaptability of supply chain management systems. In addition, the findings that were collected have shown that there are four factors that influence the SCM systems. These factors are the IT skills and knowledge, the integration of IT-based systems, the IT infrastructure, and the design of global position system and geographic information systems. In addition, this research offers practitioners recommendations for implementing digital technology for supply chain management and building suitable business strategies at various stages of digitalization.

When stakeholder orientations matter: Modelling employee orientation, shareholder orientation and supply chain orientation as necessary and sufficient conditions for firm performance

Businesses operate in an increasingly dynamic environment requiring that they strike a delicate, healthy, and equitable balance among the interests of their numerous stakeholders. This study examined how employee orientation and shareholder orientation influence supply chain orientation and how employee orientation, shareholder orientation, and supply chain orientation influence firm performance. The study used a sample of 265 respondents and applied both linear and triangular data analysis techniques in Partial-Least Squares Structural Equation Modelling (PLS-SEM) and Necessary Condition Analysis (NCA) to examine how employee orientation, shareholder orientation, and supply chain orientation influence the performance of oil marketing companies (OMCs) in Ghana. The PLS-SEM results revealed that employee orientation and shareholder orientation are significant predictors of supply chain orientation. The NCA results revealed that employee orientation is the most important for supply chain orientation. Also, from the PLS-SEM results, employee orientation and supply chain orientation predict firm performance, but shareholder orientation does not. However, the NCA results suggest that all three orientations are necessary for firm performance and highlight supply chain orientation as the most important for firm performance. This study is the first to examine how employee orientation and shareholder orientation influence supply chain orientation, besides how the three orientations influence firm performance from both sufficiency and necessity theory perspectives. The study also uncovers supply chain orientation as an underlying process through which employee and shareholder orientation enhances firm performance.

The influence of hazard control and prevention toward safety behaviors and safety outcomes in coal-fired power plants using PLS-SEM

INTRODUCTION

The electrical utility industry, which plays a vital role in sustaining other sectors, contributes to high occupational accident rates in the utility industries. The high accident rate shows that there has been insufficient effort made to control unsafe actions and conditions in the workplace. This study aims to examine the influence of hazard control and prevention as leading indicators of safety behaviors and outcomes in coal-fired power plants in Malaysia.

METHODS

This quantitative research was conducted by distributing survey questionnaires randomly to five coal-fired power plants in Peninsular Malaysia. A total of 340 respondents were involved in this research. Partial least squares structural equation modeling (PLS-SEM) analysis was performed using SmartPLS to validate and examine the relationship of the proposed model.

RESULTS

The results validate the construct of hazard control and prevention consisting of planning, action, managing, and verifying, while the safety outcomes construct consists of occupational accidents, fatal accidents, near misses, and lost time injuries. The results indicate that hazard control and prevention significantly relate to safety compliance, safety participation, safety motivation, and safety knowledge. Moreover, safety outcomes were influenced negatively by hazard control and prevention through safety compliance.

CONCLUSION

The model provides a better understanding of the influence of hazard control and prevention on safety behavior and outcomes.

PRACTICAL APPLICATIONS

The model can be used as guidance for practitioners and researchers in planning and implementing hazard control and prevention to improve health and safety in the workplace.

Promoting COVID-19 booster vaccines in Macao: A psychological reactance perspective

RATIONALE

The booster vaccine plays a key role in ending COVID-19 crisis. However, promoting COVID-19 booster vaccination often interferes with individuals' freedom of choice and leads to psychological reactance.

OBJECTIVE

To promote the public's intention to receive COVID-19 booster dose, this study aimed to investigate the effectiveness of different message designs from psychological reactance theory's perspective.

METHOD

A 2 × 2 × 2 factorial experiment was conducted in Macao in January 2022 (N = 469). Partial least squares structural equation modeling and a complementary three-way ANOVA were performed to examine the effects of message frame (gain frame vs. loss frame), freedom restoration postscripts (present vs. absent), and other-referencing cues (present vs. absent) on reducing psychological reactance.

RESULTS

The present study has successfully broadened the scope of the psychological reactance theory by examining its applicability to the context of COVID-19 booster vaccination promotion. Our findings indicate that the gain-framed promotion messages tend to be the most effective in reducing perceived reactance. However, freedom restoration postscripts, other-referencing cues, and mixed message design were found to be ineffective in alleviating reactance. Besides, the insignificance of direct effect from message frame to intention suggests that the message design itself cannot influence people's vaccination intentions; rather, it must rely on reducing perceived threat, reactance, and further improving vaccination intentions.

CONCLUSIONS

Our study offered valuable insights from psychological reactance perspective, identifying message features that can be effective in health promotions. Furthermore, message design specifically aimed at reducing the threat to freedom may yield unexpected persuasive effects, an aspect currently overlooked in health promotion strategies.

Usability and performance expectancy govern spine surgeons' use of a clinical decision support system for shared decision-making on the choice of treatment of common lumbar degenerative disorders

Study design

Quantitative survey study is the study design.

Objectives

The study aims to develop a model for the factors that drive or impede the use of an artificial intelligence clinical decision support system (CDSS) called PROPOSE, which supports shared decision-making on the choice of treatment of ordinary spinal disorders.

Methods

A total of 62 spine surgeons were asked to complete a questionnaire regarding their behavioral intention to use the CDSS after being introduced to PROPOSE. The model behind the questionnaire was the Unified Theory of Acceptance and Use of Technology. Data were analyzed using partial least squares structural equation modeling.

Results

The degree of ease of use associated with the new technology (effort expectancy/usability) and the degree to which an individual believes that using a new technology will help them attain gains in job performance (performance expectancy) were the most important factors. Social influence and trust in the CDSS were other factors in the path model. r2 for the model was 0.63, indicating that almost two-thirds of the variance in the model was explained. The only significant effect in the multigroup analyses of path differences between two subgroups was for PROPOSE use and social influence (p = 0.01).

Conclusion

Shared decision-making is essential to meet patient expectations in spine surgery. A trustworthy CDSS with ease of use and satisfactory predictive ability promoted by the leadership will stand the best chance of acceptance and bridging the communication gap between the surgeon and the patient.

Pathway analysis of food security by employing climate change, water, and agriculture nexus in Pakistan: partial least square structural equation modeling

Increasing population and augmented demand for food have put burden on water resources, crops, and livestock for future sustainability. Pakistan is facing difficulties of water shortage, low crops and livestock productivity, meagre livelihood, and intensive food insecurity. Hence, this study was conducted in Pakistan to explore the nexus of climate change, irrigation water, agriculture, rural livelihoods, and food security. The study is based on primary data of 1080 farmers gathered from 12 districts of the rice-wheat and cotton-wheat cropping systems. A partial least square structural equation modeling (PLS-SEM) was used to compute the nexus. Findings of path analysis indicated that climate change had a significant negative impact on irrigation water, crops, livestock, rural livelihood, and food security in both cropping systems. There was positive relationship between surface water and crops. In addition, groundwater and crops were also positively and significantly correlated. The impact of crop was positive and significant on rural livelihood and food security. Furthermore, rural livelihood and food security were positively and significantly influenced by livestock. Moreover, there was positive relationship between rural livelihood and food security. The cotton-wheat cropping system was more affected by climatic and natural hazards than rice-wheat cropping system. Interconnectivity among nexus components and their contribution to rural livelihood and food security indicate that government, policymakers, and other concerned stakeholders should effectively improve food security policies under climatic and natural hazards. Moreover, it helps in examining adverse impacts of hazards induced by climate change on nexus components, leading to the designing and adoption of sustainable climate change policies. The study's originality lies in its ability to provide a inclusive and integrated pathway of the interconnections and interdependencies among these variables, identifying key drivers of food insecurity in Pakistan. Moreover, outcome of the study has policy implications for developing sustainable policies and strategies to improve sustainable food security in the country.

Modeling the predictors of mobile health adoption by Rohingya Refugees in Bangladesh: An extension of UTAUT2 using combined SEM-Neural network approach

While the healthcare facilities for the people is questionable in Bangladesh, Rohingya refugees is a burning issue for both Bangladesh and global community. Integrating Rohingya refugees into the framework of mHealth could be beneficial for both Bangladesh and Rohingya refugees in general, and in specific situation like COVID-19 outbreak. However, no research has been found on what motivates Rohingya refugees to accept mHealth in Bangladesh. Drawing on the UTAUT2 model, this study investigates the predictors of acceptance of mHealth services technologies among Rohingya refugees. The study also seeks to clarify the roles of mHealth developers, the Bangladesh government, and non-governmental organizations working with the 1.1 million Rohingya refugees in Bangladesh. Quantitative data were collected from refugee camps with the permission of the Refugee Relief and Repatriation Commissioner (RRRC). The data were analyzed in two stages using a mixed approach that combines PLS-SEM and Artificial Neural Network (ANN). This study revealed that Effort expectancy (EE, with t = 5.629, β = 0.313) and facilitating conditions (FC with t = 4.442, β = 0.269) in PLS-SEM, and FC (with 100 percent importance) and Health consciousness (HC, with 94.88 percent importance) in ANN analysis were found to be the most substantial predictors of mHealth adoption. The study also revealed that EE and FC are more important for low education group, while PE and Situational Constraint (SC) are more important for the high education group of refugees. In addition to providing insights for mHealth developers, this study particularly focuses on the role of government institutions and non-governmental social workers in working with the subjects to increase FC and HC among Rohingya refugees and bring them under mHealth services.

Analysis of factors affecting the effectiveness of face-to-face marketing learning via TikTok, YouTube and video conferencing

After the COVID-19 pandemic, the use of virtual platforms, social networks and online applications has been totally modified by returning to face-to-face systems. The mandatory use of these tools in the period of social distancing has led to their extensive development. This paper analyzes the effects of the use of ICTs in a purely face-to-face environment. Therefore, it analyzes the factors that affect student satisfaction and effectiveness in marketing learning through the use of digital tools and online applications in face-to-face classes, and this analysis is from a dual perspective of user and learning dissatisfaction. Using a learner-centered approach in university classes, the use of the digital platform Blackboard, the digital tool YouTube and the social network TikTok in university marketing teaching is analyzed. The study is carried out on a sample of 327 university students of different levels. The analysis is performed through a mixed methodology using a symmetric (PLS-SEM) and non-symmetric (fsQCA) approach, allowing a better generalization of the results. In the measurement of effectiveness, both user assessment and student learning assessment are significative, the two being affected in a similar way. However, they are not related to each other, acting independently. Attitude is the construct that has the greatest impact on both types of satisfaction. Perceived enjoyment also exerts a notable influence, especially on learning satisfaction. The study presents one of the first post-pandemic approaches to the analysis of the effectiveness of technological tools (ICT tools) in the face-to-face setting of university marketing classes.

Fogging to combat dengue: factors influencing stakeholders' attitudes in Malaysia

BACKGROUND

Fogging is a conventional technique used to combat Aedes mosquitoes and prevent dengue disease. It is often implemented in outbreak areas or areas harbouring a high density of Aedes mosquitoes. Currently, studies on stakeholders' attitudes towards fogging are still limited in number. Therefore, this study aims to assess Malaysian attitudes, and identify the predicting factors influencing such attitudes.

METHODS

A validated instrument was used to interview 399 randomly selected respondents from the public (n = 202, 50.6%) and scientists (n = 197, 49.4%) in the Klang Valley region of Malaysia. The data were analysed using PLS-SEM involving Smart-PLS software.

RESULTS

The results confirmed that stakeholder attitudes toward fogging should be viewed in terms of a multi-dimensional association. The stakeholders surveyed were highly positive with regard to the application of fogging to control dengue but professed moderate concerns as to associated risks. The PLS-SEM analyses demonstrated that the perceived benefit was the most important factor influencing attitudes, followed by trust in key players.

CONCLUSIONS

This result provides a good insight from the perspective of education and unravels the underlying fundamentals of stakeholders' attitudes toward the fogging technique. The findings also provide a positive indicator to the responsible parties involved to continue the usage of this technique in conjunction with improvements with regard to its safety aspects, and possibly in combination with other environmental-friendly alternatives in order to achieve a healthy environment without dengue in Malaysia.

Advanced PLS-SEM models for bank customer relationship management using survey data

This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an official market research institute located in Cologne, Germany (Respondi). The German bank customer data were collected using an online survey that was programmed using the software SurveyMonkey. The subsample described in this data article comprises 675 valid responses and the data analysis was performed applying the SmartPLS 3 software.

International Social Survey Program (ISSP) environment dataset modules: Open data and its applicability in PLS-SEM Research

This data article is based on the International Social Survey Programme (ISSP) Environment III Dataset and linked to a publication in Ecological Economics, in which we developed a model for explaining and predicting sustainable consumption behavior of Europeans using data of nine participating countries. In our study, we find that sustainable consumption behavior can be associated with environmental concern, which is influenced by increased levels of environmental knowledge and environmental risk perception. In this companion data article, we describe the usefulness, value, and relevance of the open ISSP dataset and take our linked article as an example. The data are publicly available via the GESIS-website (gesis.org). The dataset consists of individual-based interviews on the respondents' perceptions regarding a variety of social matters, such as the environment, which we argue is especially suitable for PLS-SEM applications (for example, to conduct cross-sectional analyses).

Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling

Understanding the main driving factors of oasis river nutrients in arid areas is important to identify the sources of water pollution and protect water resources. Twenty-seven sub-watersheds were selected in the lower oasis irrigated agricultural reaches of the Kaidu River watershed in arid Northwest China, divided into the site, riparian, and catchment buffer zones. Data on four sets of explanatory variables (topographic, soil, meteorological elements, and land use types) were collected. The relationships between explanatory variables and response variables (total phosphorus, TP and total nitrogen, TN) were analyzed by redundancy analysis (RDA). Partial least squares structural equation modeling (PLS-SEM) was used to quantify the relationship between explanatory as well as response variables and fit the path relationship among factors. The results showed that there were significant differences in the TP and TN concentrations at each sampling point. The catchment buffer exhibited the best explanatory power of the relationship between explanatory and response variables based on PLS-SEM. The effects of various land use types, meteorological elements (ME), soil, and topography in the catchment buffer were responsible for 54.3% of TP changes and for 68.5% of TN changes. Land use types, ME and soil were the main factors driving TP and TN changes, accounting for 95.56% and 94.84% of the total effects, respectively. The study provides a reference for river nutrients management in arid oases with irrigated agriculture and a scientific and targeted basis to mitigate water pollution and eutrophication of rivers in arid lands.

On the Technological Acceptance of Moodle by Higher Education Faculty-A Nationwide Study Based on UTAUT2

Moodle is an open-source learning management system that is widely used today, especially in higher education settings. Although its technological acceptance by undergraduate students has been extensively studied in the past, very little is known about its acceptance by university professors. In particular, as far as we know, the literature contains no previous experiences related to South American teachers. This paper aims to bridge this gap by quantifying and analyzing the drivers of Moodle's technological acceptance among Ecuadorian academic staff. Considering the responses of 538 teachers and taking a modified UTAUT2 model as a theoretical basis, we found that Ecuadorian teachers have high levels of acceptance of Moodle, regardless of their age, gender, ethnicity, or discipline. However, this acceptance is significantly higher in teachers with high levels of education and with considerable previous experience with e-learning systems. The main determinants of this acceptance are attitude strength, effort expectancy, performance expectancy, and facilitating conditions. We found no moderating effects in relation to the age, gender, or previous experience of the participants (including second- and third-order interactions derived from these variables). We conclude that, albeit moderately (e.g., adjusted R2=0.588), the model tested confirms the predictive power of the part of UTAUT2 that was inherited from UTAUT.

The relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost-effective pharmacist-led intervention

RATIONALE, AIMS AND OBJECTIVES

This study aimed to investigate the relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost-effective pharmacist-led intervention using structural equation modelling (SEM). SEM is a group of statistical techniques used in different disciplines to model latent variables and evaluate theories.

METHODS

A validated questionnaire was used to gather patient views on a pharmacist-led intervention. A conceptual model was developed to test the statistical significance of the relationship between patient understanding and satisfaction, the pharmacist's role and patient understanding, the pharmacist's role and patient satisfaction. In addition, the study evaluated the model's in-sample and out-of-sample predictive power. The analysis tested fours hypotheses (H): 1) There was no significant relationship between patient understanding and patient satisfaction; 2) There was no significant relationship between the pharmacist's role and patient understanding; 3) There was no significant relationship between the pharmacist's role and patient satisfaction; 4) The in-sample and out-of-sample predictive power of the model. Data were analysed using Smart-PLS software version 3.2.8.

RESULTS

Two hundred and forty-six patients returned the questionnaire. Construct reliability, validity (Cronbach's alpha〉0.70, ⍴A>0.70, ⍴C>0.70), average extracted variance (AVE〉0.50) and discriminant validity (HTMT<0.85) were confirmed. The structural model and hypothesis testing results showed that all hypotheses were supported in this study. Path coefficients and effect sizes suggested that the pharmacist's role played a significant part in patient understanding (H2, β=0.650, f² =0.730, p<0.001), which then influenced patient satisfaction (H1, β=0.474, f² =0.222, p<0.001). The in-sample and out-of-sample predictive powers were moderate.

CONCLUSIONS

Patient satisfaction is becoming an integral component in healthcare provision and evaluation of healthcare quality. The results support using structural equation modelling to assess the link between the pharmacist's role and patient understanding and satisfaction when delivering cost-effective pharmacist-led interventions.

The impact of green accounting on environmental performance: mediating effects of energy efficiency

This study investigates the relationship between green accounting, energy efficiency, and environmental performance in the context of Bangladeshi pharmaceutical and chemical companies. The study also explores the mediating role of energy efficiency in the relationship between green accounting and environmental performance. A total of 326 responses were collected using a simple random sampling technique from pharmaceutical and chemical companies in Bangladesh. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. The results indicate that green accounting has a significant positive impact on both energy efficiency and environmental performance. Moreover, energy efficiency partially mediates the relationship between green accounting and environmental performance. The study also found that economic, environmental, and social practices of green accounting positively impact energy efficiency and environmental performance, with environmental practices having the highest impact. The findings of this study provide important insights for managers and policymakers of pharmaceutical and chemical companies in Bangladesh, highlighting the need for green accounting practices that promote environmental sustainability. The study suggests that integrating green accounting practices can lead to better energy efficiency and environmental performance, which can enhance the reputation and competitive advantage of these companies. This study identifies the mediating role of energy efficiency in the relationship between green accounting and environmental performance, providing a unique perspective on the mechanism behind the relationship.

Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach

Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at the organizational level, is insufficient. Consequently, the present research aims to assess the factors that impact the integration of cloud computing within small and medium-sized enterprises (SMEs) and its subsequent effects on environmental, financial, and social performance. The data were collected from 415 SMEs and were analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate that relative advantage, complexity, compatibility, top management support, cost reduction, and government support significantly affect cloud computing integration. This study also empirically demonstrated that SMEs could improve their financial, environmental, and social performance by integrating cloud computing services. ANN results show that complexity, with a normalized importance (NI) of 89.14%, is ranked the first among other factors affecting cloud computing integration in SMEs. This is followed by cost reduction (NI = 82.67%), government support (NI = 73.37%), compatibility (NI = 70.02%), top management support (NI = 52.43%), and relative advantage (NI = 48.72%). Theoretically, this study goes beyond examining the determinants affecting cloud computing integration by examining their impact on SMEs' environmental, financial, and social performance in a comprehensive manner. The study also provides several practical implications for policymakers, SME managers, and cloud computing service providers.