Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management

Standing on the shoulders of giants: Predictors of perceived overqualification and its impact on adaptive behavior

Utilizing affective event theory, the study investigates the roles of perceived organizational politics and boredom proneness as antecedents of perceived overqualification and its impact on adaptive behavior. Further, this research examines the mediating role of perceived overqualification between antecedents and adaptive behavior and the moderating role of meaningful work between POQ and adaptive behavior. This research obtained 289 responses from university lecturers and heads of departments of public and private sector universities in Pakistan using quantitative time lag study design and convenience sampling. Results indicate that perceived organizational politics and boredom proneness contribute to perceived overqualification. It has been found that the direct association of perceived overqualification with adaptive behavior is negative. This research found that perceived overqualification mediates the relationship between antecedents and adaptive behavior. Moreover, this research discovered that the relationship between perceived overqualification and adaptive behavior is positive when work is perceived as meaningful but negative when work lacks meaningfulness. The theoretical and practical implications, limitations, and recommendations for upcoming researchers are discussed.

Modeling the significance of corporate social responsibility on green capabilities and sustainability performance

This study examines the complex interplay among corporate social responsibility (CSR), green dynamic capabilities, green innovation capabilities, and organizations' economic, environmental, and social performance in the current era of innovation and sustainability. The proposed framework was tested using data from 634 medium- and large-sized Chinese manufacturing firms. Partial least squares structural equation modeling was employed to analyze the data. The findings demonstrate that CSR to external and internal stakeholders positively influences green dynamic capabilities. Meanwhile, CSR to external stakeholders and green dynamic capabilities are positively associated with green innovation capabilities, subsequently influencing the economic, environmental, and social performance of manufacturing firms. Moreover, the results reveal the mediating effect of green dynamic capabilities on the association between CSR and green innovation capabilities. Green innovation capabilities also mediate the association between CSR to external stakeholders and green dynamic capabilities on manufacturing organizations' economic, environmental, and social performance. This study offers a novel exploration of the intricate interplay among CSR, green dynamic capabilities, green innovation capabilities, and organizational performance within manufacturing organizations. These findings provide valuable insights for managers and offer opportunities for further research that will ultimately contribute to a deeper understanding of the roles of sustainability and innovation in modern corporations.

How are companies going to business digitalization? An explanation based on the implementation of e-commerce with data of SMEs

The data presented in this article is based on a questionnaire survey regarding e-commerce and business digitalization of SMEs in Mexico answered by the CEOs of the companies. A valid sample of 4121 Mexican SMEs was collected covering many industries, such as primary sector, extractive industries, manufacturing industries, energy, water, recycling, construction, trade, services, and others. The data includes information about the implementation of e-commerce, business digitalization, operational efficiency, corporate performance, and other demographic indicators of the sampling firms. The link between e-commerce and corporate performance is still underexplored in SMEs, even more so between companies from Latin America, being Mexico a perfect example to explore how different SMEs adapt and thrive due to the rapid growth of their e-commerce and the diversity of their business sectors (Santos-Jaén et al., 2023 [2]). Data analysis was conducted using SPSS and Smart PLS. The data are useful as the data can be reproduced, reused and reanalyzed paying special attention to group-specific effects. This data article also opens up better research opportunities going forward through collaboration with other researchers.

An integrated framework for improving green agricultural production sustainability in human-natural systems

Water scarcity, land pollution, and global warming are serious challenges and crises facing the development of sustainable or green agriculture and need to be addressed using efficient and environmentally friendly management strategies. This paper proposed an integrated framework appropriate for agricultural green total factor productivity (AGTFP) assessment coupled with microscopic and mesoscopic perspectives under water-energy-food (WEF) nexus, which generated scientific and reasonable strategies for green and low-carbon agriculture from internal core factors and peripheral environmental impacts to improve green agricultural production sustainability. Taking the Lianshui irrigation district (LID) with three sub-areas as the object, internal core factors were explored by partial least squares regression (PLSR) and the external impact path through partial least squares structural equation modeling (PLS-SEM). Results indicated that AGTFP in LID was the smallest (0.818) compared to the three sub-areas and was in a fluctuating state. Meanwhile, AGTFP which was calculated considering undesirable outputs, was closer to tangible productivity. Resource endowments and technical facilities will promote agricultural production, desirable outputs will stimulate green production, and undesirable outputs can inhibit green production. The external influence pathway was shown to be primary environment - > secondary environment - > economic aspects - > social aspects - > AGTFP. The innovative perspectives presented in this study can facilitate preferable decisions and avoid unintended consequences for human-natural systems.

The effect of computer self-efficacy on the behavioral intention to use translation technologies among college students: Mediating role of learning motivation and cognitive engagement

Amid an era of rapid globalization and technological advancement, translation technologies stand as valuable assets for college students to enhance accuracy and efficiency in the translation process. However, the adoption and acceptance of these technologies are contingent on several psychological factors, which are underexplored in the academic field. This study, populated by a cohort of 397 college students, employs a multiple-item questionnaire measuring computer self-efficacy, learning motivation, cognitive engagement, and the behavioral intention to utilize translation technologies. The collected data were analyzed through a Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach. Results indicated that computer self-efficacy significantly correlated with learning motivation, cognitive engagement, and behavioral intention to use translation technologies. Learning motivation and cognitive engagement were identified as critical mediators; combined, they exhibited a chain mediating effect on the association between computer self-efficacy and the intention to adopt translation technologies. Untangling the intertwined influences of these psychological constructs provides profound implications for the stakeholders, including tertiary education institutions, educators, curriculum developers, and technologists, to design effective pedagogical strategies and technology platforms to enhance translation technology adoption. This will equip students to harness these technologies and create a conducive environment for them to thrive in a globalized and digitally interconnected world.

Do intangible factors enhance sociocultural productivity and economy in world heritage sites?

Measuring the sociocultural productivity of heritage sites remains an ongoing issue for international organizations concerned with the conservation and promotion of traditional sites. The productivity of these locations is not only affected by tangible elements but also by intangible factors, such as the emotions generated by the experiences. For this purpose, 597 employees of hotels in these historical locations who had visited one of the 14 heritage sites in Spain assessed what role emotions play in this contribution. The methodology used was the application of structural equations. Several conclusions have been drawn utilizing the SmartPLS 4 software. The first is that the generation of positive emotions comes exclusively from cultural and historical dynamization and not from technological advances or an eagerness to learn. The second is that both the application of technological advances and cultural dynamization have a direct impact on productivity.

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.

The influence of digital literacy on mHealth app usability: The mediating role of patient expertise

Objective

Mobile health (mHealth) applications are emerging as important healthcare technologies that can provide cost savings, better access to care, contribute to improved clinical outcomes, and support public health. An increasing number of mobile health (mHealth) applications are becoming available to download and use on mobile devices. However, unlocking this potential requires ensuring widespread acceptance and adoption of these applications. In this context, the aim of the study is to determine the impact of individuals' digital literacy levels on mobile health application usability and the mediating role of patient expertise in this impact.

Methods

The population of our study consists of individuals who reside in Yozgat city center and are 18 years old and over. Within the scope of the study, 647 individuals who agreed to participate in the research were reached. A survey form consisting of four sections (Socio-demographic characteristics, Digital Literacy Scale, mHealth App Usability Questionnaire, and Patient Expertise Scale) was used as a data collection tool in the study. Descriptive statistical methods were used to analyze the data and partial least squares path analysis (PLS-SEM) was used to analyze the research model.

Results

Digital literacy affects both patient expertise (β = 0.790, t = 35.560, p = 0.000) and mHealth app usability (β = 0.831, t = 46.020, p = 0.000). Additionally, it has been determined that patient expertise has a mediating role in the effect of digital literacy on mHealth app usability (β = 0.536, t = 17.477, p = 0.000).

Conclusions

It appears that individuals' digital literacy is an important precursor to the usability of mHealth apps and increases their usage experience. In this sense, it is thought that the concept of digital literacy can be used to increase the usability of mHealth apps for individuals. Overall, the findings provide new evidence for the healthcare context by integrating user diversity, particularly individuals' digital literacy, mHealth apps, and prior experience with mHealth.

What role geoparks play improving the health and well-being of senior tourists?

In recent years geoparks, helped by governmental policies, have become tourist destinations especially among senior visitors. The paper aimed to analyse whether geoparks contribute to improving the health of tourists older than 65 years and what were their main motives to visit geoparks. The data were collected from 398 senior tourists who visited the Villuerca- Ibores-Jara Geopark (Spain) in 2023, presenting our results using SmartPLS version 4. The results showed that senior tourists are very interested in visiting this geopark for psychotherapeutic reasons, given its high environmental and geological interest. In addition, they consider geoparks as spaces where they can socialise, which is beneficial considering the isolation that many often experience during the year. These findings are highly relevant for public authorities to protect, maintain and promote geoparks among senior tourists.

The mediating effect of going concern and corporate reporting in the relationship between corporate governance and investor confidence in financial institutions

This study investigates the mediating role of going concern and corporate reporting on the relationship between corporate governance and investor confidence in financial institutions. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 3 to analyze the data. The data for the study was collected from financial statements of selected commercial banks in Ghana, Nigeria and South Africa. The results indicate that corporate reporting partially mediates the interrelationships between corporate governance, going concern, and investor confidence. Conversely, there is neither mediation effect of going concern on the association between corporate reporting and investor confidence, nor between corporate governance and investor confidence. The results of the study have practical implications for financial institutions looking to maintain investor confidence and promote financial stability. The results also have policy implications for policymakers and regulators that oversee financial institutions. Knowledge in the field of corporate reporting and governance theoretically also is extended by highlighting the importance of transparency and disclosure in corporate reporting practices. In all, this study contributes to the literature on corporate governance and reporting by providing new insights into the mechanisms by which corporate reporting and going concern impact corporate governance and investor confidence in financial institutions.

Understanding the role of social media usage and health self-efficacy in the processing of COVID-19 rumors: A SOR perspective

Apart from the direct health and behavioral influence of the COVID-19 pandemic itself, COVID-19 rumors as an infodemic enormously amplified public anxiety and cause serious outcomes. Although factors influencing such rumors propagation have been widely studied by previous studies, the role of spatial factors (e.g., proximity to the pandemic) on individuals' response regarding COVID-19 rumors remain largely unexplored. Accordingly, this study, drawing on the stimulus-organism-response (SOR) framework, examined how proximity to the pandemic (stimulus) influences anxiety (organism), which in turn determines rumor beliefs and rumor outcomes (response). Further, the contingent role of social media usage and health self-efficacy were tested. The research model was tested using 1246 samples via an online survey during the COVID-19 pandemic in China. The results indicate that: (1)The proximity closer the public is to the pandemic, the higher their perceived anxiety; (2) Anxiety increases rumor beliefs, which is further positively associated rumor outcomes; (3) When the level of social media usage is high, the relationship between proximity to the pandemic and anxiety is strengthened; (4) When the level of health self-efficacy is high, the effect of anxiety on rumor beliefs is strengthened and the effect of rumor beliefs on rumor outcomes is also strengthened. This study provides a better understanding of the underlying mechanism of the propagation of COVID-19 rumors from a SOR perspective. Additionally, this paper is one of the first that proposes and empirically verifies the contingent role of social media usage and health self-efficacy on the SOR framework. The findings of study can assist the pandemic prevention department in to efficiently manage rumors with the aim of alleviating public anxiety and avoiding negative outcomes cause by rumors.

Religious values and social distance as activators of norms to reduce food waste when dining out

Empirical research is required to identify psychological and psychographic factors which can activate or amplify norms of foodservice customers towards food waste reduction. By surveying 446 foodservice customers in Poland, a country with a large population of religion followers, this study examines the influence of religious values on personal norms and explores the moderating effect of social distance on injunctive norms. The results indicate that religious values do not activate personal norms directly but affect them indirectly via such mediating factors as the feeling of compassion and family upbringing. Close encounters, such as family and friends, amplify the effect of injunctive norms while distant encounters, such as fellow countrymen, do not. This suggests that measures for food waste reduction should be designed to appeal to the foodservice customers' feeling of compassion. The measures should also remind foodservice customers that their (grand)parents and friends would disprove food waste.

In search of a suitable way to deploy Triple-A capabilities through assessment of AAA models' competitive advantage predictive capacity

Purpose

To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.

Design/methodology/approach

Assessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.

Findings

Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.

Research limitations/implications

DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.

Practical implications

Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.

Originality/value

First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.

Factors Affecting the Relationship Between Stress and Anxiety in Critically Ill Patients: A Partial Least Squares Structural Equation Modeling Approach

This study aimed to examine the factors affecting the relationship between stress and anxiety in critically ill patients. A cross-sectional research paradigm was employed to enroll patients admitted to the medical intensive care unit (ICU) of a medical university hospital. Partial least squares structural equation modeling (PLS-SEM) was used to examine the data. A total of 90 ICU patients were included in this study; 56 were men and 34 were women. The patients' mean age was 65.3 years. Only the emotional responses dimension of illness was significantly positively correlated with stress. However, the emotional responses dimension of illness representation, acute physiology and chronic health evaluation system (APACHE) score, age, and education level were significantly positively correlated with anxiety. Nevertheless, treatment control was significantly negatively correlated with anxiety. Overall, illness representations (emotional responses and treatment control), APACHE score, age, and education were important predictors of anxiety, with an explanatory power of 37.9%. We recommend that for clinically relevant practice, besides focusing on ICU patients' illness representation, attention should also be paid to their individual characteristics, such as differences in age and education levels.

Personality disorders as a predictor of counterproductive knowledge behavior: the application of the Millon Clinical Multiaxial Inventory-IV

Purpose

This study investigates the role of personality disorders in the context of counterproductive knowledge behavior.

Design/methodology/approach

Data were collected through a survey administered to 120 full-time employees recruited from Amazon’s Mechanical Turk. Personality disorders were measured by means of the Millon Clinical Multiaxial Inventory-IV.

Findings

Personality disorders play an important role in the context of counterproductive knowledge behavior: employees suffering from various personality disorders are likely to hide knowledge from their fellow coworkers and engage in knowledge sabotage. Of particular importance are dependent, narcissistic and sadistic personality disorders as well as schizophrenic and delusional severe clinical syndromes. There is a need for a paradigm shift in terms of how the research community should portray those who engage in counterproductive knowledge behavior, reconsidering the underlying assumption that all of them act deliberately, consciously and rationally. Unexpectedly, most personality disorders do not facilitate knowledge hoarding.

Practical implications

Organizations should provide insurance coverage for the treatment of personality disorders, assist those seeking treatment, inform employees about the existence of personality disorders in the workplace and their impact on interemployee relationships, facilitate a stress-free work environment, remove social stigma that may be associated with personality disorders and, as a last resort, reassign workers suffering from extreme forms of personality disorders to tasks that require less interemployee interaction (instead of terminating them).

Originality/value

To the best of the authors’ knowledge, this work represents one of the first attempts to empirically investigate the notion of personality disorders in the context of knowledge management.

The Knowledge Sharing Capability in Innovative Behavior: A SEM Approach from Graduate Students' Insights

The capability to share knowledge is considered one of the most relevant components of knowledge management. Moreover, there is little empirical evidence indicating how future human resources in the construction industry value the richness of knowledge sharing and the richness of their innovative behavior. The purposes of this study are (1) to determine which facilitators, from the point of view of master's degree students related to engineering and construction management in Spain, most substantially influence knowledge sharing capability; (2) to test whether knowledge sharing capability (KS) positively influences innovative behavior (IB); and (3) demonstrating whether organizational innovation climate (OIC) is a factor that moderates the relationship between KS and IB. In this research, we have proposed a theoretical model and empirically tested the model in a sample of 253 master's degree students in public universities in Spain. The findings support the proposed model, and the structural equation modeling (SEM) evaluation suggests that, among all the facilitators of KS, information and communication technologies (ICT) stand out among the other facilitators and have a more significant influence on KS. Furthermore, the research found a direct correlation between KS and IB and causal links between OIC and IB.

Creating civic and public engagement by a proper balance between emotional, rational, and spiritual knowledge

Purpose

The purpose of this paper is to investigate the generation of civic and public (C&P) engagement as an integrative outcome of a proper balance between emotional, rational and spiritual knowledge, via the mediation of interpersonal competencies.

Design/methodology/approach

The empirical analysis relies on a questionnaire-based survey conducted with 294 respondents from two knowledge-intensive organizations. Structural equation modeling, using Smart PLS 4, is used to analyze the data.

Findings

Individual knowledge can be considered as the refined outcome of the underlying transformations of various knowledge sources and resources, which is apposite for the next level of knowledge workers’ acumen. Individual knowledge – which relies on a good balance of rational, emotional and spiritual knowledge – exerts a positive effect on interpersonal competencies, wherein the latter positively influences the C&P engagement of knowledge workers.

Research limitations/implications

Policymakers should capitalize on the development of strong interpersonal competencies; they should be able to understand the social mechanisms of motivating people, of stimulating, harnessing and channeling individual knowledge toward higher C&P as a prerequisite of value creation.

Originality/value

To the best of the authors’ knowledge, this is the first argumentative undertaking intended to explore the conversion of the three knowledge types into individual knowledge as a premise of interpersonal competencies development and as a relevant antecedent of C&P engagement. The results of this paper support that achieving balance in one's life is essential for increasing interpersonal competencies and C&P engagement. This study not only represents the first contribution to this debate but also helps managers and organizations to recognize that a good balance requires emotional, rational and spiritual knowledge.

Antecedents of continuance intention in online learning systems among vocational college students: The moderating effect of gender

Background

The primary objective of this study is to ascertain whether the Expectation Confirmation Model can be expanded by external variables including computer anxiety, social interaction, and self-efficacy to better understand the intention to continue using online learning systems in the post-pandemic era among vocational college students. Moreover, this research argues that the intention to continue using online learning systems among students may be gender-sensitive.

Methods

The researchers surveyed 482 students from eight vocational colleges in Jiangxi Province using a structured questionnaire. Partial Least Squares Structural equation modeling is used to verify the research model.

Results

The outcomes demonstrate that the proposed model adequately explains the continuous use intention for online learning systems at a 76.6% confidence level. All of the newly introduced variables in the ECM are shown to be significant and relevant to explicate continuous use intention. Our survey results show that gender differences in intention to continue using online learning systems exist objectively, but this difference is not a natural difference.

Conclusion

This research fills a void in the current literature on online learning and probes into how learning may be made more long-lasting in intricate environments.

The mediating role of knowledge management processes in the effective use of artificial intelligence in manufacturing firms

Purpose

This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).

Design/methodology/approach

In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.

Findings

Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.

Practical implications

This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.

Originality/value

This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.

Open Innovation in Ecuadorian SMEs: The Importance of Strategy and the Moderating Effect of Control

Open innovation (OI) has been appointed as a key factor to promote innovative performance, but some research gaps remain especially when it comes to SMEs in developing countries. This article deals with (1) the effect of formalization of innovation strategy on OI activities in SMEs, (2) the impact of OI activities on SMEs’ innovative performance, and (3) the moderating role played by control on the relationship between inbound and outbound activities and the innovative performance. OI encompasses a range of innovative methods and procedures in firms to stimulate internal innovation and widen the external use of innovation (inbound and outbound). In this work, an empirical study is carried out on 543 Ecuadorian SMEs. The results show that the formalization of the innovation strategy promotes OI activities, both inbound and outbound. While outbound activities carried out by SMEs enhance innovative performance, this positive effect is only identified for inbound open innovation activities when control exists and increases, acting this variable as a moderating factor. These results have important implications both for the management of companies and the development of public policies aimed at promoting OI in SMEs in developing countries. This research contributes to the literature as it deals with a developing country context and considers a wide range of OI activities.

The Effect of Public Healthcare Expenditure on the Reduction in Mortality Rates Caused by Unhealthy Habits among the Population

The health systems of developed countries aim to reduce the mortality rates of their populations. To this end, they must fight against the unhealthy habits of citizens, such as smoking, excessive alcohol consumption, and sedentarism, since these result in a large number of deaths each year. Our research aims to analyze whether an increase in health resources influences the number of deaths caused by the unhealthy habits of the population. To achieve this objective, a sample containing key indicators of the Spanish health system was analyzed using the partial least squares structural equation modeling (PLS-SEM) method. The results show how increasing public health spending and, thus, the resources allocated to healthcare can curb the adverse effects of the population's unhealthy habits. These results have important implications for theory and practice, demonstrating the need for adequate investment in the healthcare system to reduce mortality among the population.

Active listening to customers: eco-innovation through value co-creation in the textile industry

Purpose

This study contributes to current efforts to design and implement sustainable innovation strategies in organisations from the textile industry. This study aims to examine how businesses can overcome the current challenges (e.g. lack of resources) of sustainable innovation by the incorporation of green knowledge of customers into their value co-creation strategies. Such strategies are based on actively listening to customers and addressing their expectations with regard to environmental sustainability, in particular in the face of the negative environmental impact of the fast-fashion industry.

Design/methodology/approach

The findings of this study are derived from the analysis of data collected from 208 small and medium enterprises (SMEs) in the Spanish textile sector. A partial least squares structural equation modeling analysis was conducted using version 3.3.3 of the SmartPLS software.

Findings

This paper contributes to the literature on environmental sustainability by informing SME eco-innovation through the active listening of their customers’ perceptions while implementing value co-creation strategies. The research has found that engaging with customers and actively listening and addressing their expectations can result in the creation of green knowledge that contributes to both incremental and radical eco-innovation in the textile sector.

Practical implications

This study found that when organisations from the sector lack eco-innovation capabilities, their existing and often their potential customer base is able to acquire new environmental knowledge and transfer it to the business through a process of value co-creation. The research also found that such green knowledge has the potential to lead to eco-innovation in the sector. In other words, the value co-creation process between the textile industry and its customers is a driver of the eco-innovations required to reduce the environmental impact of the sector, helping it address both its sustainability and its ethical challenges.

Originality/value

This study proposes that co-creation challenges such as the lack of resources, funding, qualified staff or technologies motivate companies in the textile sector to collaborate with their customers to seek joint solutions.

Strategic orientation, business model innovation and corporate performance—Evidence from construction industry

In the highly competitive Chinese construction market, developing a strategic orientation alone fails to maintain the sustainable competitive advantage of firms. In this paper, the mechanism of strategic orientation and business model innovation on corporate performance in a dynamic environment is investigated. Based on a sample of 356 Chinese construction firms, the partial least squares structural equation modelling (PLS-SEM) was adopted to test the hypotheses. It is found that entrepreneurial orientation and market orientation affect corporate performance differently. Unlike market orientation, which directly affects corporate performance, entrepreneurial orientation through business model innovation exerts influence instead of direct affection. Business model innovation plays a fully mediating role between entrepreneurial orientation and corporate performance and partially between market orientation and corporate performance. Meanwhile, environmental dynamism can positively moderate the relationship between business model innovation and corporate performance. This paper deepens the research on strategic orientation, business model innovation and corporate performance. The findings can provide a reference for construction firm managers to develop strategies and conduct business model innovation, which can finally help seek sustainable development in a dynamic environment.

How do firms create business value and dynamic capabilities by leveraging big data analytics management capability?

Despite researchers having averred that big data analytics (BDA) transforms firms' ways of doing business, knowledge about operationalizing these technologies in organizations to achieve strategic objectives is lacking. Moreover, organizations' great appetite for big data and limited empirical proof of whether BDA impacts organizations' transformational capacity poses a need for further empirical investigation. Therefore, this study explores the association between big data analytics management capabilities (BDAMC) and innovation performance via dynamic capabilities (DC), by applying the PLS-SEM technique to analyzing the feedback of 149 firms. Consequently, we ground our arguments on dynamic capability and social capital theory rather than a resource-based view that does not provide suitable explanations for the deployment of resources to adapt to change. Accordingly, we advance this research stream by finding that BDAMC significantly enhances innovation performance through DC. We also extend the literature by disclosing how BDAMC strengthens DC via strategic alignment and social capital.

Occupational mental health of non-family members in family firms: Evidence from Pakistan

Family-owned firms display distinct dynamics as compared to other firms. Consequently, the outcomes and consequences of these dynamics are also expected to be different. The aim of this study was to explore the impact of perceived employee-organization psychological distance (EOPD) on the occupational mental health (OMH) of the employees. Considering the complexities associated with employee-employer relationship, the study also investigated how this relationship between PD and OMH might be mediated by psychological safety (PS) perceived by the employees. Furthermore, the study also included proactive personality (PP) as a potential moderator of the relationship between PD and OMH. Results using SEM and fsQCA show a partial mediation effect on psychological safety. The study contributes by examining the distinct nature of family firms and their impact on the mental health of non-family member employees. This study contributes to the family firm literature by adopting a novel methodological approach to unveil the complexity behind the relationship between employees and owner-employers of family firms.

Using PLS-SEM for assessing negative impact and cooperation as antecedents of gray market in FMCG supply chains: an analysis on Spanish wholesale distributors

Purpose

Within the fast-moving consumer goods (FMCG) supply chain, one of the problems facing the distribution channel strategy is the presence of the gray market. The article shows two novel antecedents of the participation of official distributors in this gray channel: Negative impact on distributor performance and the relationship with their supplier. Knowledge of this background helps to preserve the strategy outlined for the official distribution channel.

Design/methodology/approach

Data were collected from 172 Spanish wholesale distributors and analyzed using PLS-SEM.

Findings

The authors found that the damage through negative affectation in the official distributor's performance and the cooperation provided by the manufacturer, have different effects. While affectation is shown to be a powerful antecedent of participation in the gray market, the effect of perceived manufacturer cooperation does not show strong results.

Practical implications

In business practice, these findings lead the manufacturer to keep transactions carried out in the gray market at low levels and provide cooperation to official distributors to guarantee the official channel strategy aimed at efficiency in the distribution of branded goods.

Originality/value

The background of the gray market discussed in the study has not been previously analyzed in the literature. In this way, the authors contribute to the knowledge of such a common problem as the presence of the gray market in the segmentation of distribution channels of high-demand products.

Linking good counter-knowledge with bad counter knowledge: the impact of evasive knowledge hiding and defensive reasoning

Purpose

Counter-knowledge is knowledge learned from unverified sources and can be classified as good (i.e. harmful, for instance, funny jokes) or bad (for example, lies to manipulate others’ decisions). The purpose of this study is to analyse the relationship between these two elements and on the possible reactions they can induce on people and institutions.

Design/methodology/approach

The relationships between good and bad counter-knowledge and the induced reactions – namely, evasive knowledge hiding and defensive reasoning – are analysed through an empirical study among 151 Spanish citizens belonging to a knowledge-intensive organization during the COVID-19 pandemic. A two-step procedure has been established to assess a causal model with SmartPLS 3.2.9.

Findings

Results show that good counter-knowledge can lead to bad counter-knowledge. In addition, counter-knowledge can trigger evasive knowledge hiding, which, in turn, fosters defensive reasoning, in a vicious circle, which can negatively affect decision-making and also cause distrust in public institutions. This was evidenced during the covid-19 pandemic in relation to the measures taken by governments.

Originality/value

This study raises the awareness that counter-knowledge is a complex phenomenon, especially in a situation of serious crisis like a pandemic. In particular, it highlights that even good counter-knowledge can turn into bad and affect people’s decisional capability negatively. In addition, it signals that not all reactions to the proliferation of counter-knowledge by public institutions are positive. For instance, censorship and lack of transparency (i.e. evasive knowledge hiding) can trigger defensive reasoning, which can, in turn, affect people’s decisions and attitudes negatively.

Impacts of Incentive and Disincentive Mechanisms for Ensuring Environmentally Friendly Livestock Waste Management

Environmentally friendly waste management (EFWM) is a safer way of waste disposal that can foster a cleaner environment for both farms and their surroundings. It may lessen land, air, and water pollution, as well as moderate ecological footprints, and aid in sustainable agricultural development, which has become one of the major concerns of the modern era. To achieve these outcomes, incentives and control mechanisms initiated by the government may alter farmers' behavior. The study involved a review of relevant literature and the conduct of interviews with 499 pig breeders to evaluate the impacts of government incentives and control mechanisms on fostering the adoption of environmentally friendly waste management practices by farmers. A theoretical framework based on existing studies is proposed, utilizing a structural equation modeling (SEM) approach to analyze the data and illustrate the relationships among incentives and control mechanisms. The results show that: (i) overall the impacts of incentive mechanisms were stronger and more effective than those of control mechanisms. Among them, subsidy policy and discount policy were the most influential for farmers' adoption behavior. However, penalty and disincentive policy also impacted the outcome variables; (ii) a significant relationship was observed among regulatory, disincentive, and subsidy policies and a moderate relationship among penalty, insurance, and discount policies. However, bonus-community service and social critic policies did not show any significant relationship with any other variables. The research findings can assist the Chinese government in gaining a comprehensive understanding of the impacts of two crucial mechanisms and promoting the adoption of environmentally friendly practices by farmers. The government should highlight and strengthen the importance of social obligations and orientation, as well as providing monetary support at the rural level to improve farmers' ability to adapt to environmentally friendly waste management practices.

Double-edged sword of perceived mastery climate on evasive knowledge hiding: the mediating roles of perceived status and perceived social support

Purpose

Whether employees always disengage from knowledge hiding in a mastery climate is not answered well. This study aims to examine the paradoxical effects of perceived mastery climate (PMC) on evasive knowledge hiding (EKH).

Design/methodology/approach

Partial least squares structural equation modeling was used to analyze data collected from 148 full-time employees at two-time points.

Findings

PMC exerts a positive effect on EKH via perceived status (PS) in organization but also has a negative effect on it via perceived social support. Perceived procedural justice attenuates the positive effect of PS on EKH.

Practical implications

Managers need to notice the paradoxical effects of PMC and keep procedural justice to reduce the positive effect of mastery climate on knowledge hiding.

Originality/value

This study contributes to knowledge hiding literature by investigating two opposite influencing mechanisms of mastery climate, and the moderating effects of perceived procedural justice.

Analysis of Patient Satisfaction through the Effect of Healthcare Spending on Waiting Times for Consultations and Operations

In recent years, public authorities have invested large amounts of public money in trying to reduce waiting times for consultations and operations with the aim of improving the quality of the healthcare system. Our research aims to analyze the effect of these investments on patient satisfaction through the mediating relationship of waiting times for consultations and operations, as well as from a gender perspective. By studying a series of key indicators of the Spanish healthcare system and applying partial least squares structural equation modelling (PLS-SEM), the findings show that the model explains 12.10% of the variance in consultant waiting times, 51.90% in operation waiting times, and 27.00% in patient satisfaction. We found that increased public spending leads to increased patient satisfaction by reducing waiting times. However, no gender-based differences were found. The results provide exciting implications for theory and practice, indicating how policymakers can orient their strategies towards improving patient satisfaction.

Modelling the significance of strategic orientation for competitive advantage and economic sustainability: the use of hybrid SEM-neural network analysis

Economic sustainability involves the development of an organisation that meets its future needs through an integrated policy, planning, and social learning process. The purpose of this study was to investigate the mediating role of competitive advantage in the relationship between strategic orientation and economic sustainability under unpredictable circumstances. This study collected quantitative data from a total of 284 halal small and medium enterprises (SMEs) from Indonesia through structured interviews. Data were analysed using partial least squares structural equation modelling (PLS-SEM). Moreover, this study adopted artificial neural network (ANN) analysis for a model-free estimation using non-linear, multilayer, and parallel regression. The results revealed statistically significant and positive effect of strategic orientation on economic sustainability. Additionally, this study found that competitive advantage expanded the effect of strategic orientation on economic sustainability. Findings of ANN analysis confirm high prediction accuracy of the model. Findings of the sensitivity analysis highlighted the importance of innovation, network and technological orientation, and the positive effect of competitive advantage on halal SMEs economic sustainability. In order to achieve long-term economic sustainability, halal SMEs should therefore focus on innovation capacity, vertical and horizontal networking and adoption of the latest technologies. The uniqueness of this study focused on the strategic orientation and value of competitive advantage of halal SMEs towards economic sustainability. Additionally, this study was the first to develop hybrid SEM-neural network analysis to apply sensitivity analysis for the evaluation of the contribution of each exogenous predictor towards the endogenous construct.

Operating, financial and investment impacts of Covid-19 in SMEs: Public policy demands to sustainable recovery considering the economic sector moderating effect

Currently, many institutions and academics are working to establish strategies of economic recovery with the aim of mitigating the short- and long-term impacts of the COVID-19 crisis. The main aim of this study is to analyze how this crisis has impacted Spanish SMEs, considering their operating, financial, and investment activities. We also analyze the initiatives or public policies that SME managers consider necessary in order to face the effects of COVID-19. To do this, an empirical study has been carried out based on information from 612 Spanish SMEs, estimating a PLS research model and multigroup analysis that considers the activity sector as a moderating variable. The results are useful to companies and different economic and social agents, providing information to facilitate decision-making to overcome pandemic crisis mainly in the economic and strategic spheres.

Investigating the relationship between students' reading performance, attitudes toward ICT, and economic ability

This study explores the relationship between attitudes toward ICT and reading performance in the educational context. The mediating role of attitudes toward ICT on student economic ability and reading performance was also examined. Data was collected using stratified random sampling from 240 students in senior high school and 330 undergraduate students in teacher training and education program using an online platform (eDia) and paper-based. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. The joint-two stage approach was applied to perform the second-order construct in path analysis. The measurement model confirms that all the instruments used in this study are valid and reliable. The structural model showed that three out of four hypotheses were empirically supported. Attitudes toward ICT have a significant effect on Reading performance. The direct effect from student economic ability to attitudes toward ICT was positively significant. We found that attitudes toward ICT positively mediate the relationship between student economic ability and reading performance for mediation analysis. The student economic ability does not affect the student reading performance. Limitations and future directions were also discussed as well.

Linking Supply Chain Disruption Orientation to Supply Chain Resilience and Market Performance with the Stimulus–Organism–Response Model

Since 2020, supply chain disruptions have emerged as an ever-present challenge. This research provides a glimpse into the organizational structures that develop supply chain resilience and market performance amid continuous supply chain disruptions. Utilizing psychosomatic variables and empirical modeling, a model was constructed through a review of extant literature and tested with PLS-SEM analysis. Uniquely, this research model is framed with the stimulus–organism–response model; thus, placing a firm within the context of a tumultuous environment where stimuli elicit responses from an organization that behaves as an organism. Results demonstrate that organizational culture plays a critical role in developing supply chain resilience amid supply chain dynamism. Market performance was also developed but only through supply chain resilience; supply chain disruption orientation alone did not improve market performance. Mediation effects highlight the importance of supply chain disruption orientation, a strategic orientation that cements an organization’s ability to develop supply chain resilience.

The Impact of Integration of Industry 4.0 and Internal Organizational Forces on Sustaining Competitive Advantages and Achieving Strategic Objectives

Adopting and implementing the Industry 4.0 strategy to increase the overall performance of the organization became one of the main aims of organizations. However, ignoring the linkages between implementing strategic decisions and organizational internal factors/forces can endanger and shrink its performance, competitive advantages, and thus its strategic success. In this context, many companies failed to achieve the expected benefits of adopting the Industry 4.0 strategy. Therefore, the gained advantages of adopting the Industry 4.0 strategy should be sustained through perfect and comprehensive integration between Industry 4.0 concepts and the accompanying upgrades and changes in the organizational internal factors/forces. This will capitalize on organizations’ internal strengths and avoid weaknesses or turn them into strengths. In this paper, a conceptual model is proposed to investigate the relation between Industry 4.0 and internal organizational forces and examine their impacts on the sustainable competitive advantages of the organization. In the hypothesized model, three innovation capabilities (i.e., technological, economic, and commercial innovation) have been used to mediate the relation between the internal forces and the sustainable competitive advantages in parallel with Industry 4.0 adoption. The model and the proposed hypotheses have been simulated and tested using partial least squares structural equations modeling software called SmartPLS. The sample size used is 125 responses from different manufacturing fields. The results demonstrate the significant role that the internal organizational forces play in maintaining and sustaining the organization’s competitive advantages in combination with Industry 4.0.

Linking online and offline intergenerational knowledge transfer to younger employees’ innovative work behaviors: evidence from Chinese hospitals

Purpose

Little is known about when younger employees’ intergenerational knowledge transfer (IGKT) – behaviors of acquiring knowledge from older employees – improves their innovative work behaviors (IWB), especially in hospitals. Taking into consideration the moderating roles of individual absorptive capacity (AC) and organization size, this study aims to develop a theoretical model to account for the associations of both online and offline IGKT with younger employees’ IWB.

Design/methodology/approach

The model was tested with a survey of 202 Chinese younger doctors (40 years old and below). Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data.

Findings

The results showed that both online IGKT and offline IGKT have significant positive relationships with younger doctors’ IWB. Individual AC can strengthen the relationship between offline IGKT and IWB, and organization size can weaken the relationship. However, both individual AC and organization size do not significantly moderate the relationship between online IGKT and IWB.

Originality/value

The findings extend the understanding and application of individual-level knowledge-based view and media synchronicity theory by exploring the relationship of knowledge acquisition from older doctors through both online and offline communication channels with younger doctors’ IWB.

Confirmatory Factor Analysis of Performance Measurement Indicators Determining the Uptake of CPS for Facilities Management

With the use of cyber-physical systems (CPS) advanced computational capabilities, the delivery of facilities management (FM) mandates are efficiently and effectively conducted. Since performance measurement is an important yardstick in ascertaining the outcome of FM approaches, this study assesses the performance measurement indicators that influence the uptake of CPS for FM functions. Using a structured questionnaire, data were collected from built environment professionals in the Gauteng province of South Africa. Data collected was analysed using a five-stage process which includes: data reliability and validity, descriptive statistics, establishing a difference in groups’ opinion, principal component analysis, and model testing and fit statistics for confirmatory factor analysis. Results from the study indicate that three significant performance indicators are influential in determining the uptake of CPS for FM, which are operations efficiency, facility adaptation, and client’s satisfaction. The study contributes immensely to the body of knowledge. It unveils the significant performance measurement indicators that would help organisations, facilities managers, and policymakers guide their decisions hinged on the espousal of innovative technologies. Furthermore, the study serves as a solid theoretical base for further studies showcasing a roadmap for digitalisation for FM functions by unravelling the significant performance measurement indicators.

The role of absorptive capacity and organizational unlearning in the link between social media and service dominant orientation

Purpose

This paper aims to study the relationship between the knowledge obtained in social networks by firms together with the firms’ knowledge absorptive capacity and organizational unlearning as influencers of service-dominant (S-D) orientation, as well as the mediating role of absorption capacity and organizational unlearning in this process.

Design/methodology/approach

The sample amounts to 101 responding companies, obtained from the SABI database. The companies belong to the service sector in Spain and have at least 50 employees and 5 years or more of existence in the market. The model was estimated through partial least squares structural equation modeling with smartPLS software 3.2.6.

Findings

The results show that the use of social media is very important for firms to acquire knowledge and capabilities that help them to become S-D oriented. In addition, absorptive capacity and unlearning processes are dynamic capabilities necessary to transform the knowledge acquired in social media and to become S-D oriented.

Research limitations/implications

Companies’ managers draw conclusions that can generate great value, while better meeting the needs and desires of the market, the more knowledge is obtained. In addition, the use of the knowledge generated in this process will reduce the risk of sudden changes in the market.

Practical implications

The more knowledge is gained using social networks, the better the companies’ managers will be able to draw conclusions that can generate great value, while at the same time better satisfying the needs and desires of the market, and thus create capacities that allow the company to be service-oriented. In addition, the use of these knowledge platforms strengthens the strategic advantage of companies through the promotion of innovation and by relating dynamic capabilities with the orientation toward sustainable development. As mentioned above, a process will be generated that will reduce the risk of sudden changes in the market.

Originality/value

This is one of the few studies trying to study the antecedents of S-D orientation and the first to study the direct effect of social media use, and the direct and indirect effect of absorptive capacity and organizational unlearning on S-D orientation as dynamic capabilities.

Linkages Between Knowledge Management Process and Corporate Sustainable Performance of Chinese Small and Medium Enterprises: Mediating Role of Frugal Innovation

In the contemporary world, frugal innovation (FI) is the most discussed area to enhance corporate sustainable performance (CSP) in manufacturing firms. The knowledge management process (KMP) is also a key determinant of FI. Existing literature is limited to knowledge management (KM) and its impact on CSP. This study aims to determine the effect of the KMP (acquisition, dissemination, and application) on sustainable corporate performance with the association of FI. The survey method was used to collect data from 356 small and medium enterprises (SMEs) in China. Structure equation modeling was applied to obtain the results of collected data. Results show that all three dimensions of KM have a significant impact on CSP. Furthermore, FI also has a significant and positive impact on CSP. Results further show that FI partially mediates the relationship of the knowledge dissemination, knowledge application and sustainable corporate performance but no mediation role FI was found between knowledge acquisition and CSP. The findings of this study will provide useful insights for experts and manufacturers. It will help to understand the role of KM in their organizational behavior by being an economical manufacturing process. This study underscored the importance of the KMP to policymakers. In countries such as China that have global orders, KM is an essential determinant of FI. KM is a tool used to achieve CSP goals inside and outside of an enterprise, thus the development firms need to focus on KM.

Exploring the effect of professionalization, risk-taking and technological innovation on business performance

The aim of this paper is to analize the influence of professionalization over firm’s performance and the effect of two mediating variables, risk-taking and technological innovation. A total of 310 Spanish SMEs were surveyed, and the study was conducted using partial least squares path modelling (PLS-SEM) technique. The findings showed that firm’s performance is influenced by professionalization, risk-taking and technological innovation. These effects are not only direct and positive, but there are also important indirect effects that reinforce the positive effects of professionalization on firm’s performance. This research contributes to the literature on professionalization considering mediating effects of risk-taking and technological innovation in the relationship between professionalization and firm’s performance. The results provide interesting implications for theory and practice, indicating how companies can orient their strategies with the aim of gaining competitive advantage in order to increase their performance.

Spatiotemporal dynamics of wetlands and their driving factors based on PLS-SEM: A case study in Wuhan

Globally, wetlands have been severely damaged due to natural environment and human activities. Understanding the spatiotemporal dynamics of wetlands and their driving forces is essential for their effective protection. This study proposes a research framework to explore the interaction between the natural environment and human activities and its impact on wetland changes, by introducing Partial Least Squares Structural Equation Modeling (PLS-SEM) and Geographically Weighted Regression (GWR) model, then applying the methodology in Wuhan, a typical wetland city in China. The validity and reliability evaluation indicated that the PLS-SEM model is reasonable. The results showed that the area of wetlands in Wuhan decreased by 10.98% in 1990-2018 and four obvious direct pathways of influence were found. Positive soil and terrain conditions are conducive to maintaining wetlands, while rapid urbanization drastically reduce the distribution of wetlands. It is remarkable that the impact of climate on wetlands is gradually shifting from positive to negative. Furthermore, four potential indirect impact pathways affecting wetland distribution shown that urbanization and climate enhance the negative impact of terrain on wetland distribution, while their impacts on soil weaken soil's direct positive impact. This study provides a quantitative methodology for determining the causes of wetland loss; it can also be applied to other cities or regions, which is essential for applying more effective measures to protect wetlands.

Elongating Nexus Between Workplace Factors and Knowledge Hiding Behavior: Mediating Role of Job Anxiety

Purpose

The study objective is to investigate the relationship between workplace ostracism, workplace incivility, and knowledge hiding behavior (evasive hiding, playing dumb, rationalized hiding) while considering the mediating role of job anxiety.

Methods

The study collected data through structured questionnaires from 275 participants (ie, employees) working in the small to medium-sized enterprise of five big cities of Pakistan. The study adopted a structured equation modeling technique for data analysis.

Results

Significantly, the study results suggest a positive effect of workplace ostracism and workplace incivility on employees’ knowledge hiding behavior, and job anxiety significantly mediates the relationship between workplace ostracism, workplace incivility, and knowledge hiding behavior of employees.

Conclusion

The present study highlights the need to examine the personality disposition for understanding the relationship between the variables (eg, workplace ostracism, workplace incivility, knowledge hiding behavior). Employees’ inappropriate behavior had suppressed by initiating a campaign for a realistic job preview, setting an exceptional example. The study significantly contributes to the current literature on knowledge hiding behavior by presenting valuable insight into organizational and individual variables, subsequently influencing the knowledge hiding behavior of individuals. Indeed, this study is the first to investigate the predictive effect of the proposed variables.

Evaluating workplace safety in the oil and gas industry during the COVID-19 pandemic using occupational health and safety Vulnerability Measure and partial least square Structural Equation Modelling

The study aims to apply the Partial Least Squares Structural Equation Modeling (PLS-SEM) to model workplace safety in the Oil and Gas Industry (OGI) during the COVID-19 pandemic. The five areas of the Occupational Health and Safety (OHS) Vulnerability Measure (e.g., Exposure to Workplace Hazards, Policies and Procedures in the Workplace, Perception on Health & Safety Culture in the Workplace, Self-Awareness in Health & Safety Procedures and Responsibilities, and Preventive Measure for Prevention of the Transmission of COVID-19 at Workplace) were considered as the constructs to be evaluated. Fifty workers from the oil and gas industry worldwide participated in the online survey, and the data were analyzed using the SmartPLS software. The results revealed that only Perception on Health & Safety Culture was a significant factor influencing the perceived workplace safety in the OGI during the COVID-19 pandemic (β = 0.603; t-value = 3.323; p-value = 0.001). The study suggested that the oil and gas companies should maintain a positive perception of health and safety culture to improve workplace safety even during the pandemic.

Investigating the moderating effect of humble leadership behaviour on motivational factors and knowledge-sharing intentions: evidence from Jordanian public organisations

Purpose

The purpose of this paper is to empirically investigate the moderating effect of humble leadership on the relationship between different intrinsic and extrinsic motivational factors and employee’s knowledge-sharing intention.

Design/methodology/approach

Responses of 236 employees in public organisations in the country of Jordan were collected via the completion of an online survey. The study data was analysed using structural equation modelling.

Findings

This study found that humble leadership support positively moderated the effect of intrinsic motivational factors (i.e. self-efficacy and enjoyment) on KS intention, while such leadership does not moderate the relationship between extrinsic motivational factors (i.e. rewards and reciprocity) and KS intention.

Originality/value

This study increases the understating of the conditions under which employees’ knowledge-share by exploring the moderating effect of humble leadership behaviour on motivational factors and KS intention in public organisations, particularly in the context of a developing country.