Purpose-There are very few studies on the impact of job attitude on knowledge sharing. The purpose of this paper is to examine the effects of job involvement, job satisfaction, organisational commitment, and organisational citizenship behaviour (OCB) on employees' knowledge sharing behaviour. Design/methodology/approach-This research is based on a survey of 116 Information Systems personnel in Malaysia. Structural equation modelling is used to test the hypothesis. Findings-The results show that job involvement, job satisfaction and OCB are independent and positively related to employees' knowledge sharing behaviour. However, organisational commitment has a negative relationship with knowledge sharing behaviour. It is found that OCB is not a significant mediator between job involvement, job satisfaction organisational commitment and knowledge sharing behaviour. Research limitations/implications-It is widely reported that knowledge workers may not be willing to share with others since they can always argue that it is not their job to share. Therefore, knowledge sharing can be regarded as an extra job. OCB is an extra-role behaviour which is especially relevant to research on knowledge sharing. Theories and research methods in OCB may be used in future research on knowledge sharing. Practical implications-Given the importance of knowledge sharing in today's competitive business world, this study provides a broader understanding of different dimensions of job attitudes in relation to employees' knowledge sharing behaviours. Our findings suggest that organisational administrators and managers should look into ways of improving the levels of job satisfaction, job involvement, and OCB in order to facilitate knowledge sharing behaviour. Originality/value-This study makes two distinct additions to the organisational behaviour and knowledge sharing literature. First, job attitudes appear to be significantly related to knowledge sharing behaviour, addressing a research gap in the literature of knowledge sharing and employee attitudes. Second, this study reveals that OCB directly affects knowledge sharing but it does not mediate employees' job attitudes to promote knowledge sharing behaviours.

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The impact of personal characteristics on entrepreneurial intention is a classic topic in the field of entrepreneurship research. Previous research mostly used simple linear models, leading to a gap in the study on the interrelationship among personal characteristics and their systematic influence on entrepreneurial intention. This study investigates the interrelationship among the four specific entrepreneurial characteristics (i.e., need for achievement, locus of control, risk-taking propensity, and creativity) and their systematic influence on the entrepreneurial intention of engineering students. The research data is from 210 engineering students via a survey. Logistic regression and path analysis were used for data analysis. The findings suggest that creativity and risktaking directly influence entrepreneurial intention while the need for achievement and the locus of control influence it indirectly. Implications for entrepreneurship education are finally discussed.

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Background: Healthcare professionals who have a positive attitude and who are more empathetic toward older adults are in a better position to deliver quality healthcare. This study examines the impact of using an aging simulation suit on undergraduate pharmacy students' empathy levels. Methods: One hundred and twenty first-year students enrolled in the Bachelor of Pharmacy course were randomized to either a medication review polypharmacy workshop (control) or an immersive aging simulation suit and medication review polypharmacy workshop (intervention). Intervention participants donned the aging suit and performed a series of tasks, including walking up a flight of stairs and filling up a form to simulate the physical limitations experienced by an older adult. The workshop was delivered at week 10 of semester. Both groups also completed a medication review polypharmacy workshop at week 12 of semester. The primary outcome was a measurement of change on the Jefferson Empathy Scale-Healthcare Professional Questionnaire among both groups at week 12 of semester. Secondary outcomes include the longitudinal impact of intervention after 3 months of the workshop and perceptions on learning. Results: The use of a simulation suit did not increase participants' self-rated empathy compared to control. However, the suit enhanced the ability of participants to understand the physical limitations and visual issues associated with aging. Participants also felt that it enhanced their health advocacy, as it taught them the importance of listening, patience and respect for older adults. Conclusion: The use of an immersive aging suit can be a useful adjunctive tool to help enhance students' understanding of the physical limitations and visual limitations of aging. Further research is needed to understand how these limitations affect other healthcare students. Trial Registration: ClinicalTrials.gov identifier: NCT04133727.

Organizations in both developed and developing economies are paying great attention to the Industry 4.0 revolution and associated uses of technologies due to its potential benefits to the manufacturing industry. However, there are a limited number of empirical studies due to its early stage of adoption around the world, especially regarding the key technological factors that are necessary. This study addresses this research gap by identifying the factors that enable successful Industry 4.0 technologies adoption in an emerging economy country, grouping them, and ranking the groups based on priorities for adoption. The study adopts a mixed-method research methodology. Q-Sort technique and Analytic Hierarchy Process (AHP) respectively were used to group enabling factors and prioritize the groups for Industry 4.0 technologies adoption. Thereafter, semi-structured interviews of key stakeholders in the manufacturing sector in Thailand were carried out to validate and support findings from the quantitative analysis. Five industry experts from automotive and electronic parts/components manufacturers were interviewed. The results show that human capital is the most important readiness dimension for Industry 4.0 technologies implementation.Interoperability and data handling were found to be the next in importance. On the contrary, hardware and technology systems such as data security and technological infrastructure were identified as the least important of the technology readiness dimensions. These findings provide a different perspective to extant studies that posited that technology-based factors as the most important for Industry 4.0 success. Managerial Relevance StatementThe rapid development of Industry 4.0 has significantly influenced manufacturing organizations' operations and decisions. As manufacturers increasingly seek to adopt Industry 4.0, it is important that they know where to direct their efforts and resources. This study emphasizes that human development issues are critical to the success of Industry 4.0. The implication for managers is that human capital must be developed in tandem with technology. The study also highlights the importance of interoperability and therefore, managers must choose Industry 4.0 systems and technology with the ability to be interoperable with other systems and/or organizations in their ecosystems. Finally, the research encourages managers to consider production flexibility and process stability as the most important performance measures for Industry 4.0 implementation.