Factors Affecting Breast Screening Behavior of First-Degree Relatives of Breast Cancer Patients in China: A Cross-sectional Study

BACKGROUND

Breast cancer is the most common cancer in women, and first-degree relatives (FDRs) of breast cancer patients have a significantly higher risk of developing breast cancer. However, the factors affecting breast cancer screening behavior of FDRs in China remain unclear.

OBJECTIVE

The aim of this study was to determine the social cognitive theory factors influencing screening behaviors of FDRs.

METHODS

A cross-sectional survey was conducted, and 430 FDRs were recruited. Data were collected using demographic information and self-reported questionnaire based on the social cognitive theory. The structural equation modeling method was used to analyze the influence of social cognitive factors on breast cancer screening behavior.

RESULTS

The model showed a good fit (goodness of fit = 0.462). Goal setting and self-regulation (β = 0.631, P < .001) and positive outcome expectation (β = 0.098, P = .042) were positively related to breast cancer screening behavior. Negative outcome expectation was negatively related to breast cancer screening behavior (β = -0.102, P = .024). In addition, positive outcome expectation, negative outcome expectation, and goal setting and self-regulation are mediators of self-efficacy (β = 0.475, P < .001) to breast cancer screening behavior.

CONCLUSION

Goal setting and self-regulation are important influences on breast cancer screening behavior. The social cognitive theory is both applicable to and effective in explaining and predicting breast cancer screening behavior.

IMPLICATIONS FOR PRACTICE

Health professionals can develop appropriate intervention strategies based on the social cognitive theory among FDRs. It is necessary to focus on the people who influence women, such as spouses, mothers, or daughters.

Intelligent health in the IS area: A literature review and research agenda

As the global demand for healthcare services continues to grow, improving the efficiency and effectiveness of the healthcare ecosystem has become a pressing concern. Information systems are transforming the healthcare delivery process, shifting the focus of healthcare services from passive disease treatment to proactive health prevention and the healthcare management model from hospital-centric to patient-centric. This study focuses on reviewing research in IS journals on the topic of e-health and is dedicated to constructing a theoretical model of intelligent health to provide a research basis for future discussions in this field. In addition, as the innovation of intelligent healthcare services has led to changes in its elements (e.g., an increase in the number of stakeholders), there is an urgent need to sort out and analyze the existing research.

A narrative review of the development and performance characteristics of electronic delirium-screening tools

BACKGROUND

Electronic delirium-screening tools are an emergent area of research.

OBJECTIVE

The objective of this study was to summarise the development and performance characteristics of electronic screening tools in delirium.

METHODS

Searches were conducted in Pubmed, Embase, and CINAHL Complete databases to identify electronic delirium-screening tools.

RESULTS

Five electronic delirium-screening tools were identified and reviewed. Two were designed for and tested within a medical setting, and three were applied to intensive care. Adaptive design features, such as skip function to reduce test burden, were variably integrated into instrument design. All tools were shown to have acceptable psychometric properties, but validation studies were largely incomplete.

CONCLUSIONS

Electronic delirium-screening tools are an exciting area of development and may offer hope for improved uptake of delirium screening.

The Role of Decision Authority and Stated Social Intent as Predictors of Trust in Autonomous Robots

Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human-autonomy teaming. However, other factors may influence users' perceptions and use of autonomous systems, such as perceived intent of robots and decision authority of the robots. The current study experimentally examined participants' trust in an autonomous security robot (ASR), perceived trustworthiness of the ASR, and desire to use an ASR that varied in levels of decision authority and benevolence. Participants (N = 340) were recruited from Amazon Mechanical Turk. Results revealed the participants had increased trust in the ASR when the robot was described as having benevolent intent compared to self-protective intent. There were several interactions between decision authority and intent when predicting the trust process, showing that intent may matter the most when the robot has discretion on executing that intent. Participants stated a desire to use the ASR in a military context compared to a public context. Implications for this research demonstrate that as robots become more prevalent in jobs paired with humans, factors such as transparency provided for the robot's intent and its decision authority will influence users' trust and trustworthiness.

Are there patients with an intracapsular fracture of the hip who may benefit from an uncemented hemiarthroplasty?

Aims

Cemented hemiarthroplasty is an effective form of treatment for most patients with an intracapsular fracture of the hip. However, it remains unclear whether there are subgroups of patients who may benefit from the alternative operation of a modern uncemented hemiarthroplasty - the aim of this study was to investigate this issue. Knowledge about the heterogeneity of treatment effects is important for surgeons in order to target operations towards specific subgroups who would benefit the most.

Methods

We used causal forest analysis to compare subgroup- and individual-level treatment effects between cemented and modern uncemented hemiarthroplasty in patients aged > 60 years with an intracapsular fracture of the hip, using data from the World Hip Trauma Evaluation 5 (WHiTE 5) multicentre randomized clinical trial. EuroQol five-dimension index scores were used to measure health-related quality of life at one, four, and 12 months postoperatively.

Results

Our analysis revealed a complex landscape of responses to the use of a cemented hemiarthroplasty in the 12 months after surgery. There was heterogeneity of effects with regard to baseline characteristics, including age, pre-injury health status, and lifestyle factors such as alcohol consumption. This heterogeneity was greater at the one-month mark than at subsequent follow-up timepoints, with particular regard to subgroups based on age. However, for all subgroups, the effect estimates for quality of life lay within the confidence intervals derived from the analysis of all patients.

Conclusion

The use of a cemented hemiarthroplasty is expected to increase health-related quality of life compared with modern uncemented hemiarthroplasty for all subgroups of patients aged > 60 years with a displaced intracapsular fracture of the hip.

Sociomaterial perspective as applied in interprofessional education and collaborative practice: a scoping review

Learning and working together towards better health outcomes today have become more complex requiring an investigation on how interprofessional education (IPE) and interprofessional collaboration (IPC) practices could be sustained and further developed. Through a sociomaterial perspective, we can better understand IPE and IPC practices by foregrounding the material aspect of learning and working together and examining its relationship with humans and their interactions. This article aimed to examine existing literature that discusses the application of sociomaterial perspectives in IPE and IPC. A scoping review was conducted following Arksey and O'Malley's framework to explore the extent within the current body of knowledge that discuss how sociomaterial perspective is applied in IPE and IPC practices. A systematic database search was performed in September 2021 to retrieve literature published from 2007 onwards, with forty-three papers meeting the inclusion criteria. These papers included research articles, book chapters, conference papers and commentaries, with the majority originating from Europe. The thematic analysis revealed the following themes: (1) power as a sociomaterial entity shaping IPE and IPC; (2) inclusion of non-health professionals in reimagining IPE and IPC practices, and (3) the critical understanding of sociomateriality. The findings suggest that a sociomaterial perspective can allow for the reimagination of the contemporary and future practices of interprofessionalism.

Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis

Regression component analysis (RCA) replaces the factors in a factor analysis model with weighted composites of the model's observed variables. The weight matrix may be calculated from the factor model's parameter estimates. Thus, RCA parameter estimates can be obtained using factor model software, but RCA composites have determinate scores, rather than the indeterminate scores of factors. Analytically, RCA equates to modeling with "regression method" factor scores, except that, while those scores will be inconsistent with the original factor model, they are strictly consistent with the RCA model. When the original factor model is strictly correct in the population and the composites in RCA are standardized, RCA parameter estimates replicate those from regression-weighted forms of partial least squares (PLS) path modeling and generalized structured component analysis (GSCA)-affirming that those methods also equate to modeling with regression method factor scores under the same conditions. Parallel measurement allows RCA to replicate both correlation weight and regression weight versions of PLS and GSCA. These results suggest that RCA and regression-weighted forms of PLS and GSCA are all consistent approaches for modeling data that conforms to a factor model. All analytical methods are described using one consistent symbol palette. Complete R syntax is provided.

Community notes increase trust in fact-checking on social media

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks is missing. Here, we presented n = 1,810 Americans with 36 misleading and nonmisleading social media posts and assessed their trust in different types of fact-checking interventions. Participants were randomly assigned to treatments where misleading content was either accompanied by simple (i.e. context-free) misinformation flags in different formats (expert flags or community flags), or by textual "community notes" explaining why the fact-checked post was misleading. Across both sides of the political spectrum, community notes were perceived as significantly more trustworthy than simple misinformation flags. Our results further suggest that the higher trustworthiness primarily stemmed from the context provided in community notes (i.e. fact-checking explanations) rather than generally higher trust towards community fact-checkers. Community notes also improved the identification of misleading posts. In sum, our work implies that context matters in fact-checking and that community notes might be an effective approach to mitigate trust issues with simple misinformation flags.

The influence of service performance in China's sci-tech commissioner system: Using social network analysis and interpretable machine learning

The Sci-Tech Commissioner System (SCS) is a result of exploratory efforts by the Chinese government to use science and technology to strengthen the agricultural sector. Social network analysis (SNA) and machine learning (ML) techniques make it feasible to assess the service performance in China's SCS by using indicators such as group types and structure features. In this study, SNA and a clustering algorithm were employed to categorize service group types of sci-tech commissioners. By comparing the accuracy of different classification algorithms in predicting the clustering results, LightGBM algorithm was finally select to determine the clustering features of sci-tech commissioners and establish an interpretable ML model. Then, the SHAP was used to algorithm to analyze influences affecting service performance. Results show that the service forms of sci-tech commissioners are group-oriented, and that group types include small groups of young commissioners with close cooperation, larger groups of young and middle-aged commissioners, small groups of middle-aged and old commissioners with close cooperation, and isolated points of highly-influential commissioners. Furthermore, while group size is not the determinant of a commissioner's average performance, group structure and coordination ability were found to be more critical. Moreover, while differences in distinct types of service performance are caused by various factors, but good group structures and extensive social contacts are essential for high service performance.

Investigating Effects of Digital Innovations on Sustainable Operations of Logistics: An Empirical Study

The current investigation seeks to investigate the relationship between digital innovations and the sustainability perspectives of logistics operations. Despite the advancement of technologies for sustainable goals, it is evident that the importance of digital innovation is increasing as a means of enhancing sustainable operations. Current research is examining the determinants of digital innovation in small logistics firms. A new theoretical framework is developed based on technology adoption, technology integration, and sustainable operations by following the diffusion of innovation (DOI) theory. For this study, data were collected from 540 small logistical firms in China. The covariance-based structural equation modeling technique was used to test the proposed hypothesis. The results from the analysis indicate that technology adoption positively affects the environmental perspectives with coefficients = 0.293, social perspectives with coefficients = 0.461, and economical perspectives with coefficients = 0.461 of sustainable operations. Similarly, technology integration positively affects the environmental perspectives with coefficients = 0.512, social perspectives with coefficients = 0.347, and economical perspectives with coefficients = 0.415 of sustainable operations. In conclusion, the implementation of digital technology for innovation can help firms improve their logistical operations in terms of sustainability, which will deliver a robust business improvement according to this research.

Factors influencing college students' online rumor refuting behavior during major public health crises: the moderating effect of group norms

This study integrates SOR (Stimuli-Organism-Response) theoretical framework and rational behavior theory within a theoretical framework, incorporating group norms as a moderating factor to investigate the psychological mechanisms influencing Chinese college students' online rumor-refutation behavior amidst public health crises. Using the structural equation modeling research method, data was collected via questionnaires from 1,254 participants in the context of the COVID-19 pandemic. The findings indicate that both online and offline information seeking are positively correlated with college students' attitudes and subjective norms. Moreover, the attitudes and subjective norms of college students are positively correlated with the online rumor refuting behavior. Furthermore, group norms serve to strengthen the connection between college students' attitudes and their engagement in online refuting rumors. These results illuminate the psychological underpinnings driving college students' online rumor-refuting actions, offering practical and policy implications for effectively managing rumor behaviors.

Extending the theory of planned behavior model to explain people's behavioral intentions to follow China's AI generated content law

AI Generated Content Law was extensively promoted in 2023; hence, it is crucial to uncover factors influencing people's behavioral intentions to comply with the AI Generated Content Law. This study extends the theory of planned behavior to explore the factors influencing people to follow AI Generated Content Law in China. In addition to the factors in TPB model, such as one's attitudinal factors, normative factors, and perceived behavioral control, we add another factor-moral obligation to extend the theory of planned behavior model. We used convenient sampling and there were 712 effective samples. Using the statistical software Amos17.0, the result shows that attitude, subjective norms, perceived behavioral control and moral obligation all have positive effects on intentions to follow AI Generated Content Law.

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach

This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set qualitative comparative analysis (fsQCA) and artificial neural network (ANN) techniques within Kirkpatrick's four-stage model framework, data were collected from a self-administered questionnaire survey of 71 in-service civil servants who participated in the APA training program. This study employs an asymmetric, non-linear model analyzed through a configurational approach and ANN to explore interrelationships among the four Kirkpatrick levels namely, reaction, learning, behavior, and results. Findings indicate that trainees were satisfied across all levels, identifying a non-linear relationship among these levels in post-training evaluation process. The research highlights that "learning skills" are most significant in the APA post-training evaluation, followed by behavior, results, and reaction. Theoretically, this research advances Kirkpatrick's model and adds to the literature on public service post-training evaluation. Practically, it recommends prioritizing strategies that address cognitive barriers to enhance training effectiveness. This study's innovative approach lies in its concurrent use of fsQCA and ANN methods to analyze the success or failure of APA-related trainees, offering alternative pathways to desired outcomes and contrasting traditional quantitative methods that provide a single solution. The findings have practical implications for public service training institutions and bureaucratic policymakers involved in capacity development, guiding the creation of more effective in-service training courses for public officials. The methodology and analysis can be applied in other contexts, allowing bureaucratic policymakers to replicate these findings in their learning institutes to identify unique configurations that lead to successful or unsuccessful training outcomes, adopt effective strategies, and avoid detrimental ones.

The Effect of Digital Platform Strategies on Firm Value in the Banking Industry

After digital platforms have become successful in the information technology (IT) industry, incumbents from traditional industries increasingly implement digital platform strategies. However, there is mixed evidence on whether these incumbents benefit from digital platform strategies. To provide systematic insights, we focus on the banking industry. With the emergence of open banking, banks have begun implementing digital platforms to unlock the innovative power of third-party developers. We conducted an event study based on the announcement of digital platform strategies in a global sample of 165 banks. We show that, on average, investors react positively to the announcements. Contrary to our expectations, this effect is more substantial for banks from emerging markets than those from developed markets. Prior artificial intelligence (AI) orientation only partly contributes to investors' favorable perception of a digital platform strategy. These results point to the complex interplay of AI orientation and digital platform strategies, yielding questions for future research.

API integration and organisational agility outcomes in digital music platforms: A qualitative case study

Organisations deploy digital platforms to maximise value and transform their businesses. The success of most platforms is attributed to Application Programming Interfaces (APIs), the protocols enabling different software to communicate with each other. However, previous research on APIs has predominantly focused on the technical dimensions, such as design, and unintentionally neglected other social areas, such as organisational outcomes. This study seeks to advance organisational API research by adopting an agility perspective to explore the agility outcomes after API integration. Through rich qualitative data from a music digital firm, the findings revealed four primary agility outcomes: customer agility in the form of swift customer feedback, operational agility in the form of improved business process and delay reduction, partner agility in the form of embracing flexibility in processes and structures and expanding their ecosystem and decision agility in the form of fast decision making. A model showing the interplay and interdependencies of the agility outcomes was developed and provided depth and clarity to the findings. This study extends the literature by establishing how API integration influences organisational agility under conditions such as possessing capabilities and managing tensions during the integration process.

The social representation of digital transformation: The IT professionals' perspective

In this study, we aimed to identify how Information Technology professionals make sense of digital transformation, in order to compare this perception with the scientific literature on the topic. To conduct the research, we adopted the Social Representation Theory. Thus, via an online tool, we applied the words evocation technique as well as an ancillary questionnaire comprising open and closed questions. The expressions collected were then semantically treated and categorized, being then analyzed vis-à-vis their frequency of evocation, relevance, connectedness, and cooccurrence. Then, we performed similarity and content analyses for the open answers received. In doing so, we detected dissonance between scientific production on the concept of digital transformation and the perception of Information Technology professionals on this construct, concluding that such professionals have a technocentric view of digital transformation, based mainly on its technological aspects, which can prevent digital transformation initiatives from fully achieving the desired objectives.

Risk management of sports service supply chain using fuzzy comprehensive evaluation and intelligent neural network

The sports service supply chain faces various potential risks, such as market fluctuations, logistics issues, and partner uncertainties. To address these risks effectively, this study employs a combination of fuzzy comprehensive evaluation (FCE) methods and intelligent neural networks to create an innovative risk management framework. By considering diverse uncertainties and leveraging the analytical power of intelligent neural networks, this study aims to optimize the operation of the sports service supply chain and explore the risk factors within the public service supply chain of stadiums. This framework provides policy references to promote the healthy and sustainable development of the sports service industry. The main empirical findings, based on a representative survey of experts in China, are as follows: (1) When determining the weights of risk indicators for managing the public service supply chain of stadiums using the FCE method, the customer risk indicator is of paramount importance, with a weight of 0.286, accounting for 95.2 % of the total significance; and (2) In evaluating various risk indicators of the public service supply chain of stadiums through the neural network method, the customer risk indicator scores the highest, achieving a score of 76.02. Notably, the customer complaint risk indicator scores slightly higher at 79.33. Based on these findings, the study recommends focusing on enhancing customer experience within risk management strategies. Additionally, it suggests strengthening the supervision of platforms and third-party activities to ensure the stability and efficient operation of the stadium service supply chain. This study aims to provide theoretical support and reference indicators for evaluating the public service capabilities of stadiums.

Electronic word-of-mouth (eWOM) on social networking sites (SNS): Roles of information credibility in shaping online purchase intention

Electronic word of mouth (eWOM) on social networking sites (SNS) has become crucial in shaping online consumers' purchase intentions, reflecting the growing reliance on rich nature of user-generated content and recommendations shared on these platforms. This study aims to investigate the intricate relationships among different factors of eWOM information, including information credibility, information usefulness, information adoption, attitude towards information, and their impacts on online purchase intention. This study draws upon the Information Adoption Model (IAM) and the Information Acceptance Model (IACM) foundation theory which reveal the steps individuals take in adopting new information, and focuses on how perceptions and attitudes towards information shape acceptance. The study used a quantitative approach, utilizing a structured questionnaire to collect data from 337 Vietnamese individuals actively engaged in eWOM activities on various SNS platforms. Statistical analysis was conducted using partial least squares structural equation modeling (PLS-SEM). The findings show that information credibility significantly influences both information usefulness and adoption. Interestingly, while information usefulness shapes user attitudes, it does not directly impact online purchase intention. Similarly, a positive attitude toward eWOM does not necessarily lead to information adoption. This suggests that consumers may hold favorable views of eWOM content without actively adopting it. Information adoption emerges as a critical determinant of online purchase intention, emphasizing the importance of promoting user engagement and trust in eWOM information. These findings contribute to a deeper understanding of online consumer behavior and provide valuable guidance for stakeholders seeking to leverage eWOM effectively in digital marketing.

Challenge or Hindrance? The Dual Impact of Algorithmic Control on Gig Workers' Prosocial Service Behaviors

Algorithmic technological progress presents both opportunities and challenges for organizational management. The success of online labor platforms hinges on algorithmic control, making it imperative to explore how this control affects gig workers' prosocial service behaviors. Drawing from affective event theory, our study delves into the factors influencing gig workers' prosocial service behaviors in the online labor platform setting. We utilize the challenge-hindrance appraisal framework to highlight the pivotal role of algorithmic control. To rigorously test our hypotheses, we gathered empirical data from an online questionnaire survey of 660 gig workers. Our results indicate that challenge appraisals and hindrance appraisals in regard to platform algorithm control have a nuanced dual impact on gig workers' prosocial service behaviors. This relationship is clarified by the mediating function of work engagement. A challenge appraisal of platform algorithmic control can positively influence gig workers' prosocial service behaviors. However, hindrance appraisal of platform algorithmic control can negatively influence gig workers' prosocial service behaviors. Interestingly, workplace interpersonal capitalization boosts the effect of challenge appraisal on employees' prosocial service behaviors. However, it does not mitigate the adverse effects of hindrance appraisal on such behaviors. This study has multiple theoretical implications, and it also provides valuable practical insights into organizational management.

Feeling Supported as a Remote Worker: The Role of Support from Leaders and Colleagues and Job Satisfaction in Promoting Employees' Work-Life Balance

Due to the increasing use of remote work, understanding the dynamics of employee support and its implications for job satisfaction and work-life balance is crucial. Utilizing the Conservation of Resources (COR) theory as a theoretical framework, this research investigated how feeling supported by leaders and colleagues at work fosters work-life balance and job satisfaction among remote employees. The study involved 635 remote workers (females = 61%, mean age, 46.7, SD = 11) from various service-based industries and public administration in Italy. Results from the structural equation model showed a total mediating effect of job satisfaction in the link between colleague support and work-life balance (χ2(22) = 68.923, p = 0.00, CFI = 0.973, TLI = 0.955, RMSEA = 0.059 (90% CI = 0.044-0.075, p = 0.158), SRMR = 0.030), emphasizing the role of interpersonal relationships within the workplace in enhancing remote workers' job satisfaction and, consequently, their work-life balance. Contrary to expectations, the study found no significant direct or indirect link between leader support and work-life balance. This research highlights the significance of fostering strong social connections and ensuring employee satisfaction to promote well-being and work-life balance in remote work arrangements.

Organizing visions for data-centric management: how Norwegian policy documents construe the use of data in health organizations

PURPOSE

Norway, like other welfare states, seeks to leverage data to transform its pressured public healthcare system. While managers will be central to doing so, we lack knowledge about how specifically they would do so and what constraints and expectations they operate under. Public sources, like the Norwegian policy documents investigated here, provide important backdrops against which such managerial work emerges. This article therefore aims to analyze how key Norwegian policy documents construe data use in health management.

DESIGN/METHODOLOGY/APPROACH

We analyzed five notable policy documents using a "practice-oriented" framework, considering these as arenas for "organizing visions" (OVs) about managerial use of data in healthcare organizations. This framework considers documents as not just texts that comment on a topic but as discursive tools that formulate, negotiate and shape issues of national importance, such as expectations about data use in health management.

FINDINGS

The OVs we identify anticipate a bold future for health management, where data use is supported through interconnected information systems that provide relevant information on demand. These OVs are similar to discourse on "evidence-based management," but differ in important ways. Managers are consistently framed as key stakeholders that can benefit from using secondary data, but this requires better data integration across the health system. Despite forward-looking OVs, we find considerable ambiguity regarding the practical, social and epistemic dimensions of data use in health management. Our analysis calls for a reframing, by moving away from the hype of "data-driven" health management toward an empirically-oriented, "data-centric" approach that recognizes the situated and relational nature of managerial work on secondary data.

ORIGINALITY/VALUE

By exploring OVs in the Norwegian health policy landscape, this study adds to our growing understanding of expectations towards healthcare managers' use of data. Given Norway's highly digitized health system, our analysis has relevance for health services in other countries.

COVID again? Health workers' burnout and turnover intentions: possible impacts of coronavirus-induced anxiety and first-level servant leaders

PURPOSE

Building on social exchange and leader-member exchange theories, this paper aims to propose a model of the impact of coronavirus-induced anxiety on health-care professionals' burnout and turnover intention through the mediation role of servant leadership.

DESIGN/METHODOLOGY/APPROACH

This model was examined by adopting partial least square-based structural equation modeling using data collected from 271 health professionals (doctors, nurses, midwives and analysts) from Turkey.

FINDINGS

The findings of the research illustrate that coronavirus-induced anxiety is positively associated with burnout and turnover intention. Furthermore, servant leadership mediates the relationship between coronavirus-induced anxiety, burnout and turnover intention. Yet, according to factor loadings, the mediating role of servant leadership is not strong (β : 0.035 and 0.053, respectively).

RESEARCH LIMITATIONS/IMPLICATIONS

First, this study targeted the health-care professionals from Turkey. Therefore, this population may not be able to provide general information on the topic. Thus, this study suggests that the subject be addressed in other populations as well. Second, the data were self-reported by the participants. Although common method bias and social desirability bias were not an issue in this study, it should be known that the results are based on the subjective judgments of the participants. Third, this study was limited to investigating the mediating role of servant leadership only.

PRACTICAL IMPLICATIONS

This study gives much beneficial information to both administrators and organizations by mirroring highly stressed workers' inside throughout statistically results. Hence, it is assumed that the findings will help leaders to cope with several difficult situations, especially in crisis moments. As the chaotic circumstances occurred, achieving organizational goals became more and more difficult. To do this, some leaders play critical roles for members like servant leaders by contributing uniquely spiritual dimensions.

SOCIAL IMPLICATIONS

Struggling with the COVID-19 pandemic has aggravated the health-care professionals' existing mental health and has loaded more agitation on them. According to Mozes (2021), suicide cases among nurses have doubled the number of women in the general population. Thus, leaders should do something to lower those ratios. This study points out that servant leaders could break down those unwanted issues by decreasing burnout and turnover intention rates of health workers. Barbuto and Wheeler (2006) highlighted this situation by creating a dimension called "The Natural Desire to Serve Others."

ORIGINALITY/VALUE

To the best of the authors' knowledge, to date, this study is the first to examine the mediating role of servant leadership in the effect of coronavirus-induced anxiety on burnout and turnover intention. Furthermore, this research reveals that servant leadership may play a role in avoiding burnout and turnover intention in the health sector.

Can digital economy foster synergistic increases in green innovation and corporate value? Evidence from China

The rapid evolution of the digital economy has significantly accelerated progress towards achieving green and sustainable processes, particularly in the field of green production. While existing research has delved into the effects of the digital economy on Green Innovation (GI) and the consequences of digital transformation on Corporate Value (CV), there remains a notable gap in the literature regarding the potential for synergistic enhancements in firms' GI&CV through the ongoing digital revolution. This study utilizes an evolutionary game model and employs system dynamics methods to simulate the dynamic evolution trajectory of the influence of the digital economy on the synergy between GI&CV. Subsequently, it empirically assesses the interconnected synergies between GI&CV using a dataset comprising information from Chinese listed firms spanning from 2011 to 2020, examining the impact of the digital economy on these synergies. Moreover, the study delves into the analysis of the transmission mechanism and conducts an extended investigation to further explore this phenomenon. The findings of this paper including: (1) The digital economy acts as a driving force behind the synergistic enhancement of firm GI&CV. Moreover, this effect is further augmented by governmental environmental regulation and green subsidy policies. (2) Drawing upon the information asymmetry theory and the resource-based theory, the regional marketization level and firms' digital transformation play intermediary roles. (3) The heterogeneity test indicate that firms situated in eastern regions and those classified as non-heavily polluted benefitted to a greater extent. This study sheds light on the incentive implications of digital economy for the synergistic upgrading of GI&CV, thereby extending the breadth of study on the consequences of digital economy. Moreover, it offers actionable suggestions for enterprises to leverage digital economy development towards achieving a synergistic improvement of GI&CV.

The indirect impact of the technostress subfactors on the satisfaction and desire to work from home

Introduction

Organizational digitalization is a phenomenon that is becoming more widespread and holistic; that is responsible for more employees being affected by digital work and working from home. While introducing remote work offers numerous economic benefits for organizations, this transition must be aligned with employees' needs rather than in an authoritarian manner. Our research aimed to investigate how sub-factors of technostress, directly and indirectly, influence the satisfaction and desire to work from home.

Methods

We conducted a cross-sectional survey with a sample of 361 office workers with at least two years of experience who have spent some time working from home. We checked our hypotheses with a path model.

Results

Our research found that techno-insecurity and techno-complexity have a minimal direct influence on the desire to work from home. However, the desire to work from home significantly decreases through various mediation pathways via the status sub-factor (which can be seen as one of the latent benefits of remote work) and through satisfaction with working from home. Our model explains 33.7% of the variance in the desire to work from home.

Discussion

This suggests that leaders have a task of great significance: to decrease the technostress employees are exposed to and to draw the attention of researchers to the fact that technostress has more complex indirect effects than previously assumed.

Dynamic modulation of the processing of unpredicted technical errors by the posterior cingulate and the default mode network

The pervasive use of information technologies (IT) has tremendously benefited our daily lives. However, unpredicted technical breakdowns and errors can lead to the experience of stress, which has been termed technostress. It remains poorly understood how people dynamically respond to unpredicted system runtime errors occurring while interacting with the IT systems on a behavioral and neuronal level. To elucidate the mechanisms underlying such processes, we conducted a functional magnetic resonance imaging (fMRI) study in which 15 young adults solved arithmetic problems of three difficulty levels (easy, medium and hard) while two types of system runtime errors (problem errors and feedback errors) occurred in an unexpected manner. The problem error condition consisted of apparently defective displays of the arithmetic problem and the feedback error condition involved erroneous feedback. We found that the problem errors positively influenced participants' problem-solving performance at the high difficulty level (i.e., hard tasks) at the initial stage of the session, while feedback errors disturbed their performance. These dynamic behavioral changes are mainly associated with brain activation changes in the posterior cingulate and the default mode network, including the posterior cingulate cortex, the mPFC, the retrosplenial cortex and the parahippocampal gyrus. Our study illustrates the regulatory role of the posterior cingulate in coping with unpredicted errors as well as with dynamic changes in the environment.

Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload

In today's dynamic organizational landscape, characterized by rapid technological advancements and evolving workplace dynamics, understanding the factors influencing employee well-being is paramount. This study investigates the interplay between ethical leadership, organizational climate, role overload, and job burnout in public healthcare organizations across northern Jordan. By focusing on ethical leadership, organizational climate, and role overload as determinants of job burnout, this research provides insights into strategies for enhancing employee well-being. Drawing on ethical leadership theory, social exchange theory, and the job demands-resources model, this study employs PLS-SEM to analyze data collected from 260 employees working in Jordanian government hospitals. The findings reveal negative associations between ethical leadership and job burnout, highlighting the importance of ethical leadership behaviors in mitigating employee burnout. Additionally, a positive organizational climate is associated with lower levels of burnout, underscoring the impact of the broader organizational context on employee well-being. The study also explores the mediating role of organizational climate and the moderating effect of role overload in the relationship between ethical leadership and job burnout, providing insights into the complex dynamics at play in healthcare organizations. These findings enrich our understanding of the factors influencing employee well-being in healthcare contexts and underscore the importance of fostering ethical leadership and supportive organizational climates to mitigate job burnout.

Foreign executives, digital transformation, and innovation performance: Evidence from Chinese-listed firms

This study investigates the effect of foreign executives on firms' innovation performance and the mediation role of digital transformation in Chinese-listed firms from 2011 to 2021. Our findings indicate that the presence of foreign executives in top management teams promotes firms' innovation performance by enhancing digital transformation. Further analyses show that foreign executives contribute significantly to improving firms' radical innovation performance rather than incremental innovation performance. We also examine the moderating effect of negative performance feedback and financing constraints between foreign executives and innovation performance, finding that foreign executives can promote innovation performance particularly in firms with negative performance feedback and weak financing constraints.

Heterogeneous peer effects of college roommates on academic performance

Understanding how student peers influence learning outcomes is crucial for effective education management in complex social systems. The complexities of peer selection and evolving peer relationships, however, pose challenges for identifying peer effects using static observational data. Here we use both null-model and regression approaches to examine peer effects using longitudinal data from 5,272 undergraduates, where roommate assignments are plausibly random upon enrollment and roommate relationships persist until graduation. Specifically, we construct a roommate null model by randomly shuffling students among dorm rooms and introduce an assimilation metric to quantify similarities in roommate academic performance. We find significantly larger assimilation in actual data than in the roommate null model, suggesting roommate peer effects, whereby roommates have more similar performance than expected by chance alone. Moreover, assimilation exhibits an overall increasing trend over time, suggesting that peer effects become stronger the longer roommates live together. Our regression analysis further reveals the moderating role of peer heterogeneity. In particular, when roommates perform similarly, the positive relationship between a student's future performance and their roommates' average prior performance is more pronounced, and their ordinal rank in the dorm room has an independent effect. Our findings contribute to understanding the role of college roommates in influencing student academic performance.

Integrating the ESM usage and work engagement for employee agility performance: based on regulatory focus theory

This present research aims to clarify the intricate conjunction of enterprise social media (ESM) utilization and employee agility with a main focus on uncovering the underlying mechanisms that work through the mediating influence of work engagement and the moderating influence of regulatory focus. Drawing upon regularity focus theory, 353 Chinese samples of ESM users in organizational contexts are analyzed using SPSS 23.0. The empirical findings substantiate a robust and significant positive linkage between ESM usage and worker agility. Further reinforcing the model, the mediating role of work engagement is established as it channels the impact of ESM usage on worker agility. Turning to the moderating effects, the study unveils the differential impact of prevention focus and promotion focus, wherein individuals with a lower prevention focus exhibit a more pronounced positive linkage between ESM usage and worker agility. Similarly, individuals with a higher promotion focus demonstrate a heightened positive association between ESM usage and worker agility. By comprehensively inspecting the intricate dynamics of ESM usage, work engagement, and regulatory focus, this study enhances our theoretical understanding of how these factors synergistically shape employee agility, ultimately furnishing organizations with invaluable insights to foster and cultivate an agile workforce.

Assessing the Impact of Recommendation Novelty on Older Consumers: Older Does Not Always Mean the Avoidance of Innovative Products

Personalized recommendations that use digital technologies to predict user interests and preferences and give guiding conclusions have become a widely used digital marketing tool on e-commerce platforms. Given that existing consumer behavior research has not reached a consensus on the relationship between age and the adoption of innovative products, whether recommendation novelty can stimulate older consumers' acceptance of innovative products remains uncertain. Grounded in the aging and social influence literature, this experimental study investigated the moderating role of individual cognitive age on the impact of recommendation novelty on consumer perceptions regarding stereotype threat and receptiveness to innovativeness. An experiment involving 239 online shoppers was conducted to investigate the experiences of cognitively younger and older adults while using low or high levels of recommendation novelty designed for this study. Results reveal the tension for older adults when using highly recommended novelty, as they perceive these to be more of a stereotype threat, but they also have a higher level of receptiveness to innovativeness. This finding is contrary to the common belief that "the older the consumer, the less receptive to innovativeness", providing novel insight into the information systems literature. Theoretically, this research shows how increasing the level of recommended novelty affects stereotype threat and receptiveness to innovativeness (of consumers of different cognitive ages). For practitioners, the results provide important guidelines on the kind of personalized recommendations that are appropriate for consumers with different cognitive ages.

Automated vehicles for older adults with cognitive impairment: a survey study

As the population is ageing, the number of older adults with cognitive impairment (CI) is increasing. Automated vehicles (AVs) can improve independence and enhance the mobility of these individuals. This study aimed to: (1) understand the perception of older adults (with and without CI) and stakeholders providing services and supports regarding care and transportation about AVs, and (2) suggest potential solutions to improve the perception of AVs for older adults with mild or moderate CI. A survey was conducted with 435 older adults with and without CI and 188 stakeholders (e.g. caregivers). The results were analysed using partial least square - structural equation modelling and multiple correspondence analysis. The findings suggested relationships between older adults' level of cognitive impairment, mobility, knowledge of AVs, and perception of AVs. The results provided recommendations to improve older adults' perception of AVs including education and adaptive driving simulation-based training.Practitioner summary: This study investigated the perception of older adults and other stakeholders regarding AVs. The findings suggested relationships between older adults' level of cognitive impairment, mobility, knowledge of AVs, and perception of AVs. The results provided guidelines to improve older adults' perception of AVs.

From "online brains" to "online lives": understanding the individualized impacts of Internet use across psychological, cognitive and social dimensions

In response to the mass adoption and extensive usage of Internet-enabled devices across the world, a major review published in this journal in 2019 examined the impact of Internet on human cognition, discussing the concepts and ideas behind the "online brain". Since then, the online world has become further entwined with the fabric of society, and the extent to which we use such technologies has continued to grow. Furthermore, the research evidence on the ways in which Internet usage affects the human mind has advanced considerably. In this paper, we sought to draw upon the latest data from large-scale epidemiological studies and systematic reviews, along with randomized controlled trials and qualitative research recently emerging on this topic, in order to now provide a multi-dimensional overview of the impacts of Internet usage across psychological, cognitive and societal outcomes. Within this, we detail the empirical evidence on how effects differ according to various factors such as age, gender, and usage types. We also draw from new research examining more experiential aspects of individuals' online lives, to understand how the specifics of their interactions with the Internet, and the impact on their lifestyle, determine the benefits or drawbacks of online time. Additionally, we explore how the nascent but intriguing areas of culturomics, artificial intelligence, virtual reality, and augmented reality are changing our understanding of how the Internet can interact with brain and behavior. Overall, the importance of taking an individualized and multi-dimensional approach to how the Internet affects mental health, cognition and social functioning is clear. Furthermore, we emphasize the need for guidelines, policies and initiatives around Internet usage to make full use of the evidence available from neuroscientific, behavioral and societal levels of research presented herein.

Sipping a sustainable life: Exploring drivers and barriers in consumer attitudes toward non or low alcoholic spirits

Alcohol consumption continues to be prevalent and is on the rise in many countries, posing a grave risk for the health and wellbeing of millions and creating a strain on health services worldwide. A hopeful trend has emerged, however, as consumers' growing preference for healthier, sustainable lifestyles has led traditional alcoholic brands to innovate, launching reduced or non-alcoholic (NoLo) options. This aligns with the SDGs and is reflected in NoLo spirits representing four of Spain's top ten disruptive innovations of 2022. This paper uses a mixed methodology in a qualitative-quantitative sequential approach to gain insight into this phenomenon. The study involved 13 in-depth interviews with HoReCa (an acronym for Hotels, Restaurants, and Caterings) professionals and four focus groups among consumers. Second, behavioral reasoning theory (BRT) was used in a quantitative study aiming to explore motivations for and against consuming NoLo spirits. Data from a survey of 620 participants was conducted and analyzed using SEM-PLS to measure the antecedents of consumer's behavioral intention towards NoLo spirits and to gauge the potential for marketing opportunities. The research reveals that the purchase intention of NoLo spirits is strongly related to health consciousness, while enjoying the effects of alcohol for fun and entertainment, and the social pressure to drink hinders its consumption. In addition, it was found that "reasons for" are more substantial than "reasons against" the consumption of those beverages, differing significantly by age group. Results offer implications for theory and practice, including recommendations for practitioners and regulators willing to improve sustainability in the industry. Further, this paper helps augment the innovation adoption literature by using BRT in the paradoxical context of consumers' increasing alcohol abuse despite their professed attempts to adopt healthier lifestyles.

Protocol for a randomised controlled field experiment on the effect of different gamification designs of physical activity

Gamification is finding growing application in the field of physical activity, promising engaging and motivating experiences that foster behavioural change. However, existing empirical work has insufficiently scrutinised whether the reported positive outcomes emerge because of gamification and what type of gamification design leads to optimal results. This protocol for a parallel four-arm randomised controlled field experiment was purposely designed to investigate the effect of different gamification designs on motivation, perceived usefulness, and the intended behavioural change in physical activity (increase in step counts). Participants were randomly assigned to either: 1) a competitive gamified group; 2) a cooperative gamified group; 3) a hybrid (competitive-cooperative) gamified group; or 4) a control group. The design of the gamified interventions was guided by gamification design frameworks identified in literature. The data gathered includes: 1) a longitudinal panel dataset of step counts to investigate the causal effect of gamification on physical activity behaviour; and 2) self-reported data to examine the effect of gamification on the users' intrinsic motivation and perceived usefulness of the experience. This protocol outlines the procedure and processes followed during this experiment to facilitate replicability for future studies.

Mixed Methods Illustration of Teachers' Trauma-Informed Attitudes and Practice

Traumatic events during childhood are crucial to consider when addressing children's social and emotional development, as childhood trauma is associated with negative impacts, including academic achievement. Additionally, positive classroom environments and teachers' trauma-informed attitudes and behavior play a role in supporting recovery from children's trauma-related experiences. Aspire, Connect, Thrive (ACT) is a trauma-informed school-based intervention that examined students' Social Emotional Competence (SEC) and resilience for K-8th grade students in a disadvantaged, urban elementary school in Connecticut contending with the effects of students' exposure to trauma. The present study examines the experience of ACT teachers who received professional development and subsequently implemented learned content in the classroom (N = 17; 70.6% female, mean age = 44 years; 47.1% racial/ethnic minority; mean years teaching = 15.6) through qualitative evidence of trauma sensitivity (observed and self-reported) and clinician-ratings of teachers' positive classroom environment. Quantitative results indicate significant change over time in teachers' attitudes and trauma-informed classroom responses. Interview themes suggest (1) teachers learned from and implemented the intervention content in their classrooms dependent upon the support the teacher was given, (2) teachers' perspectives on the connections between the student-teacher relationship and trauma-informed attitudes or practices influenced teacher behavior, and (3) teachers' own emotions and experiences implementing trauma-informed practices were key to classroom management.

The desirability bias in personality-related syllogistic reasoning

INTRODUCTION

The belief-bias effect is a tendency to evaluate syllogistic statements based on believability rather than on formal logic validity. Following this rationale, the study examines desirability bias as the tendency to evaluate syllogistic conclusions based on their desirability when reasoning is conducted on personality-relevant categorical syllogisms.

METHODS

For this purpose, 60 syllogisms were constructed based on the items of the Big Five questionnaire. Syllogisms were subsequently categorized as desirable (e.g., "I empathize with others") and undesirable (e.g., "I am passive") based on their conclusion. In each task, the second premise and the conclusion were formulated in the first person to increase a respondent's identification with the content. A total of 300 university students (Mage = 20.08, SD = 2.02) participated in the study.

RESULTS

A 2 (syllogism validity: valid, invalid) × 2 (syllogism desirability: desirable, undesirable) repeated measures ANOVA was employed. The analysis showed a greater tendency to accept desirable conclusions on valid syllogisms (valid desirable rather than valid undesirable) and reject undesirable conclusions on invalid syllogisms (invalid undesirable rather than invalid desirable).

CONCLUSION

These findings have implications for socially desirable responding in cognitive tasks, which may be further developed as a source of self-relevant content as well as for further extension of belief bias in the form of desirability bias.

Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis

The field of healthcare is characterized by constant innovation, with gender-specific medicine emerging as a new subfield that addresses sex and gender disparities in clinical manifestations, outcomes, treatment, and prevention of disease. Despite its importance, the adoption of gender-specific medicine remains understudied, posing potential risks to patient outcomes due to a lack of awareness of the topic. Building on the Innovation Decision Process Theory, this study examines the spread of information about gender-specific medicine in online networks. The study applies social network analysis to a Twitter dataset reflecting online discussions about the topic to gain insights into its adoption by health professionals and patients online. Results show that the network has a community structure with limited information exchange between sub-communities and that mainly medical experts dominate the discussion. The findings suggest that the adoption of gender-specific medicine might be in its early stages, focused on knowledge exchange. Understanding the diffusion of gender-specific medicine among medical professionals and patients may facilitate its adoption and ultimately improve health outcomes.

Electronic medication administration record (eMAR) in Swedish home healthcare-Implications for Nurses' and nurse Assistants' Work environment: A qualitative study

BACKGROUND

The electronic medication administration record (eMAR) is an eHealth system that has replaced the traditional paper-based medication administration used in many healthcare settings. Research has highlighted that eHealth technologies can change working methods and professional roles in both expected and unexpected ways. To date, there is sparse research that has explored how nurses and nurse assistants (NA) in home healthcare experience eMAR in relation to their work environment.

AIM

The aim was to explore how nurses and nurse assistants experienced their work environment, in terms of job-demand, control, and support in a Swedish home healthcare setting where an electronic medication administration record had been implemented to facilitate delegation of medical administration.

METHOD

We took a qualitative approach, where focus groups were used as data collection method. The focus groups included 16 nurses and nine NAs employed in a Swedish municipality where an eMAR had been implemented 6 months before the first focus groups were performed. The analysis adapted the job-demand-control-support model, by condensing the professionals' experiences into the three categories of demand, control, and support, in alignment with the model.

RESULTS

NAs experienced high levels of job demand and low levels of job control. The use of the eMAR limited NAs' ability to control their work, in terms of priorities, content, and timing. In contrast, the nurses described demands as high but manageable, and described having a high level of control. Both professions found the eMar supportive.

CONCLUSION

Nurses and NAs in home healthcare experienced changes in their work environment regarding demand, control, and support when an eMAR was implemented to facilitate delegation of medical administration. In general, nurses were satisfied with the eMAR. However, NAs felt that the eMAR did not cover all aspects of their daily work. Healthcare organisations should be aware of the changes that digitalisation processes entail in the work environment of nurses and NAs in home healthcare.

Superior medical resources or geographic proximity? The joint effects of regional medical resource disparity, geographic distance, and cultural differences on online medical consultation

Online medical consultation platforms enable patients to seek health advice from physicians across geographic regions. In this study, we analyze patterns of online consultation between patients and physicians. We examine the joint effects of regional medical resource disparity, geographic distance, and cultural differences between patients and physicians on patients' decisions about which physicians they consult online. Using a unique dataset of city-to-city tuples based on 813,684 online consultation records and combining it with region-level data from multiple external sources, we find that while regional medical resource disparity drives patients from medically disadvantaged regions to seek online consultations with physicians from medically advantaged regions, geographic distance and cultural differences tend to constrain these consultations. We also find that cultural differences can amplify the impact of regional medical resource disparity, whereas geographic distance may lessen this effect. Further, we discover that the constraining effect of geographic distance is partly due to the online-to-offline nature of online medical consultations. Moreover, additional analyses suggest that physicians' online reputation and information about physicians' participation on the platform can help alleviate the negative effects of geographic distance and cultural differences. These findings hold significant implications for the allocation of medical resources and the formulation of healthcare policies.

Domain-Specific Greed

Greed, the insatiable and excessive desire and striving for more even at the expense of others, may be directed toward various goods. In this article, we propose that greed may be conceptualized as a domain-specific construct. Based on a literature review and an expert survey, we identified 10 domains of greed which we operationalized with the DOmain-SPEcific Greed (DOSPEG) questionnaire. In Study 1 (N = 725), we found support for the proposed structure and convergent validity with related constructs. Bifactor-(S-1) models revealed that generic greed is differentially related to the greed domains, indicating that generic greed primarily captures a striving for money and material things. In the second study (N = 591), we found that greed domains had incremental validity beyond generic greed with regard to corresponding criteria assessed via self- and other-reports. We conclude that greed can be conceptualized as a domain-specific construct and propose an onion model reflecting this structure.

A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis

Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient's complete health history to make informed decisions about future events. However, previous work has mostly relied on so-called black-box models, which are unintelligible to humans, making it difficult for clinicians to apply such models. Our work introduces PatWay-Net, an ML framework designed for interpretable predictions of admission to the intensive care unit (ICU) for patients with symptoms of sepsis. We propose a novel type of recurrent neural network and combine it with multi-layer perceptrons to process the patient pathways and produce predictive yet interpretable results. We demonstrate its utility through a comprehensive dashboard that visualizes patient health trajectories, predictive outcomes, and associated risks. Our evaluation includes both predictive performance - where PatWay-Net outperforms standard models such as decision trees, random forests, and gradient-boosted decision trees - and clinical utility, validated through structured interviews with clinicians. By providing improved predictive accuracy along with interpretable and actionable insights, PatWay-Net serves as a valuable tool for healthcare decision support in the critical case of patients with symptoms of sepsis.

Physiotherapy services during the COVID-19 pandemic: A mediated model of physiotherapists' self-efficacy, tele-physiotherapy role stressors, and motivation to provide tele-physiotherapy

BACKGROUND

Occupational self-efficacy is a stable predictor for professionals' motivation to engage with new methods and tasks. Yet, the delivery of tele-physiotherapy (Tele-PT) by physiotherapists (PTs) during the coronavirus disease of 2019 (COVID-19) outbreak without advance training may have had the potential to increase work stress and damage their motivation, regardless of their occupational self-efficacy.

OBJECTIVES

The present study examined whether the relations between PTs' overall occupational self-efficacy and motivation to provide Tele-PT was mediated by role stress (i.e. role conflict and ambiguity).

DESIGN AND METHOD

Between February 4 and April 23, 2021, 150 Israeli PTs completed an online survey that measured their overall occupational self-efficacy, their role stress induced by the provision of Tele-PT, their motivation to provide Tele-PT, and their demographic characteristics.

RESULTS

PTs' overall occupational self-efficacy was positively associated with PTs' motivation to provide Tele-PT (r= 0.328, p < .01) and fully mediated by role conflict (0.1757, 95% CI = [0.0231, 0.3797]) and by role ambiguity (0.1845, 95% CI = [0.0196, 0.4184]) (components of role stress) caused by the provision of Tele-PT.

CONCLUSIONS

It is important to investigate the predictors and mediators of the motivation to provide Tele-PT because in the post-COVID-19 era health organizations are likely to adopt many tele-medicine services, and they need to find ways to mitigate perceived challenges.

Data on mathematics teacher educators' proficiency and willingness to use technology: A structural equation modelling analysis

The role of Mathematics Teacher Educators (MTEs) in preparing future teachers to effectively integrate technology into their mathematics instruction is of paramount importance yet remains an underexplored domain. Technology has the potential to enhance the development of 21st-century skills, such as problem-solving and critical thinking, which are essential for students in the era of the fourth industrial revolution. However, the rapid evolution of technology and the emergence of new trends like data analytics, the Internet of Things, machine learning, cloud computing, and artificial intelligence present new challenges in the realm of mathematics teaching and learning. Consequently, MTEs need to equip prospective teachers with the knowledge and skills to harness technology in innovative ways within their future mathematics classrooms. This paper presents and describes data from a survey of 104 MTEs in Zambia. The study focuses on MTEs' proficiency, perceived usefulness, perceived ease of use, and willingness to incorporate technology in their classrooms. This data-driven article aims to unveil patterns and trends within the dataset, with the objective of offering insights rather than drawing definitive conclusions. The article also highlights the data collection process and outlines the procedure for assessing the measurement model of the hypothesised relationships among variables through structural equation modelling analysis. The data described in this article not only sheds light on the current landscape but also serves as a valuable resource for mathematics teacher training institutions and other stakeholders seeking to understand the requisites for MTEs to foster technological skills among prospective teachers of mathematics.

Economic policy uncertainty and enterprise export resilience in China: Does the digital economy matter?

In the new era of international trade, escalating uncertainty and the swift development of the digital economy stand out as two pivotal transformations. These phenomena individually exert significant influences on enterprises' exports; however, their combined effects on export resilience remain underexplored. Hence, drawing on existing theories, this paper analyzes the weakening effect of economic policy uncertainty on export resilience and explores the influence of regional digital economic development on this attenuation effect. Furthermore, empirical tests are conducted using micro-level data from China. The study findings reveal: (1) Economic policy uncertainty weakens firms' export resilience by increasing transaction costs; (2) Digital economic development mitigates this weakening effect by reducing transaction costs, with a more pronounced effect observed among highly efficient firms. The findings suggest that amid escalating uncertainty, vigorously promoting digital economic development holds profound policy significance for the high-quality development of international trade.

Ethnocentrism and place identity in the consumption of local products

Research on the consumption of local products is essential to promote sustainability, boost local economies, and preserve cultural identity. Although a positive relationship has been demonstrated between attitude towards local products and consumption determinants, the role of the former as a mediator has not been sufficiently explored. This study examines how the attitude towards local products mediates between consumer ethnocentrism and consumption intention, as well as between place identity and consumption intention. A total of 1325 wine and cheese consumers in the Canary Islands were surveyed using a moderated mediation model, applying PLS-SEM. The results indicate that attitude towards local products mediates the aforementioned relationships but does not moderate them according to the type of local product. Consequently, marketing strategies should focus on the emotional and cultural connection that consumers establish with local products, highlighting their value in terms of identity and belonging.

Top of tide: Nexus between organization agility, digital capability and top management support in SME digital transformation

In the swiftly evolving business landscape, digital transformation (DT) has emerged as a crucial strategy for firms to gain a competitive edge. Despite the abundance of literature on DT in firms, there remains a dearth of empirical research that defines and analyzes crucial antecedents of small and medium-sized enterprises' (SMEs) DT from an internal perspective. To fill this research gap, this study examines the correlation between organizational agility and digital capability in cultivating SMEs' DT while also evaluating top management support as a moderating variable through the lens of internal factors of SMEs. The results indicate that both organizational agility and digital capability have a positive impact on SMEs' DT, with organizational agility significantly influencing digital capability. Furthermore, the findings highlight that digital capability serves as a mediator between organizational agility and SMEs' DT. In addition, top management support plays a moderating role in these relationships to a certain extent. Additionally, we explicate the concept of digital capabilities from the perspective of dynamic capability. Our study contributes to an enhanced understanding of the effect of organizational agility and digital capability on SMEs' DT, as well as the role of top management support. We provide recommendations for managers to enhance organizational agility and suggest that SMEs should improve their digital thinking to better perceive digital technology changes, enhance digital operation capabilities, and better integrate digital resources.

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis

BACKGROUND

ChatGPT (OpenAI) is a powerful tool for a wide range of tasks, from entertainment and creativity to health care queries. There are potential risks and benefits associated with this technology. In the discourse concerning the deployment of ChatGPT and similar large language models, it is sensible to recommend their use primarily for tasks a human user can execute accurately. As we transition into the subsequent phase of ChatGPT deployment, establishing realistic performance expectations and understanding users' perceptions of risk associated with its use are crucial in determining the successful integration of this artificial intelligence (AI) technology.

OBJECTIVE

The aim of the study is to explore how perceived workload, satisfaction, performance expectancy, and risk-benefit perception influence users' trust in ChatGPT.

METHODS

A semistructured, web-based survey was conducted with 607 adults in the United States who actively use ChatGPT. The survey questions were adapted from constructs used in various models and theories such as the technology acceptance model, the theory of planned behavior, the unified theory of acceptance and use of technology, and research on trust and security in digital environments. To test our hypotheses and structural model, we used the partial least squares structural equation modeling method, a widely used approach for multivariate analysis.

RESULTS

A total of 607 people responded to our survey. A significant portion of the participants held at least a high school diploma (n=204, 33.6%), and the majority had a bachelor's degree (n=262, 43.1%). The primary motivations for participants to use ChatGPT were for acquiring information (n=219, 36.1%), amusement (n=203, 33.4%), and addressing problems (n=135, 22.2%). Some participants used it for health-related inquiries (n=44, 7.2%), while a few others (n=6, 1%) used it for miscellaneous activities such as brainstorming, grammar verification, and blog content creation. Our model explained 64.6% of the variance in trust. Our analysis indicated a significant relationship between (1) workload and satisfaction, (2) trust and satisfaction, (3) performance expectations and trust, and (4) risk-benefit perception and trust.

CONCLUSIONS

The findings underscore the importance of ensuring user-friendly design and functionality in AI-based applications to reduce workload and enhance user satisfaction, thereby increasing user trust. Future research should further explore the relationship between risk-benefit perception and trust in the context of AI chatbots.

Human-annotated rationales and explainable text classification: a survey

Asking annotators to explain "why" they labeled an instance yields annotator rationales: natural language explanations that provide reasons for classifications. In this work, we survey the collection and use of annotator rationales. Human-annotated rationales can improve data quality and form a valuable resource for improving machine learning models. Moreover, human-annotated rationales can inspire the construction and evaluation of model-annotated rationales, which can play an important role in explainable artificial intelligence.

Navigating board dynamics: Configuration analysis of corporate governance's factors and their impact on bank performance

This research utilizes the fsQCA technique to investigate how a combination of corporate governance conditions or factors collectively influences the performance of banks. Examining key elements such as board size, busy directors, independent directors, CEO duality, and women on the board, the research employs data collected from the annual reports of 30 banks spanning from 2010 to 2020. The necessary condition analysis (NCA) underscores that no individual condition or factor is indispensable for the ultimate outcome. Nevertheless, the sufficiency analysis reveals distinct solutions, each representing a unique set of conditions or factors sufficient to generate the outcome. The study concludes that the relationship between corporate governance characteristics and bank performance is complex and multifaceted, with neither ROA nor ROE reliant on a singular input condition or factor. The theoretical contributions of the findings align with or partially support various theories and propositions within the realm of corporate governance. Notably, the application of fsQCA contributes to enhance the methodological understanding of corporate governance studies in existing literature.