Search results

This study aims to explain the link between employee psychological ownership (EPO) and work engagement (WE). The authors conceptualize EPO as a combination of various personal resources, i.e. self-efficacy, self-identity, accountability, belongingness and territoriality, and expected it to positively contribute to WE.

The authors analyze survey data from employees of a public service organization in Greece and verify key findings using a two-wave cross-sectional survey design targeting a heterogeneous population of employees in the United States of America.

The findings indicate that EPO is positively related to WE and job satisfaction mediates the relationship between EPO and WE. Furthermore, the authors' results support the discriminant validity between promotive EPO, preventative EPO (territoriality), WE and job satisfaction.

The present study provides a deeper understanding of EPO, as it is explained in the theoretical foundations of the job demands-resources model (JD-R) model and helps us understand how EPO can affect WE.

The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abilities.

This study analyzed the questionnaire results of 313 knowledge workers, and data analysis was conducted by using SPSS 25.0, SPSS 25.0 macro-PROCESS and AMOS 28.0.

This study found that AI adoption has a double-edged sword effect on knowledge workers' IWB. Specifically, AI adoption can promote IWB by enhancing knowledge workers' challenging stress appraisal, while inhibiting IWB by fostering their hindering stress appraisal. Moreover, individual learning ability significantly moderated the relationship between AI adoption and stress appraisal, which further influenced IWB.

This study integrates the conflicting findings of previous studies and proposes a comprehensive theoretical model based on the theory of cognitive appraisal of stress. This study enriches the research on AI in the field of knowledge management, especially extending the understanding of the relationship between AI adoption and knowledge workers’ IWB by unraveling the psychological mechanisms and behavior outcomes of users' technology usage. Additionally, we provide new insights and suggestions for organizations to seek the cooperation and support of employees in introducing new technologies or driving intelligent transformation.

This study aims to delve into the mechanisms through which managers can enhance employee participation effectively.

This study adopts the Motivation-Opportunity-Ability (MOA) framework to identify the interrelationships among various drivers. Different levels of Continuous Improvement (CI) maturity were also considered to assess the effectiveness of these drivers on employee participation. An in-depth case study was conducted, involving the selection of four business units from a multinational manufacturer in Germany to represent varying levels of CI maturity.

This study uncovered intermediary variables that mediate the impact of drivers on the high-level MOA variables. It also revealed how the effectiveness of these drivers varies across different levels of CI maturity.

While different facets of CI have been scrutinized, the importance of employee participation stands out as pivotal for achieving enduring and meaningful progress. Despite this recognition, many business organizations continue to grasp with the challenge of motivating their employees to actively engage in CI initiatives. This study extends the applicability of the MOA framework and enriches the CI literature by offering deeper insights into the behavioural perspectives of employees. In practical terms, the findings of this study provide valuable guidance to decision-makers and HR department on staff training and development, enabling them to formulate more effective strategies aimed at fostering and augmenting employee participation in CI endeavours.