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The key to preventing employees from engaging in deceptive knowledge hiding is fostering a responsible environment. Drawing on social cognitive theory, this study aims to explore the factors that inhibit deceptive knowledge hiding and to construct potential pathways for enhancing individual moral cognition. This study further analyzes the moderating effect of leader–follower value congruence on these relationships.

Using data from 341 full-time employees in various service industries in China, this study conducted path analysis, the product-of-coefficients method and bootstrapping to test the hypotheses through a three-stage, time-lagged survey.

The empirical results show that responsible leadership is negatively associated with employees’ deceptive knowledge hiding. Employee moral reflectiveness mediates this relationship, whereas leader–follower value congruence moderates the indirect effect of responsible leadership on deceptive knowledge hiding through moral reflectiveness.

First, this study extends field research by introducing positive leadership factors to reduce deceptive knowledge hiding, whereas prior studies focused mainly on negative leadership antecedents. Second, this study sheds light on the underlying moral cognitive mechanisms and explains how responsible leadership can prevent implicit unethical behavior. Third, it reveals how leader–follower value congruence can enhance the impact of responsible leadership on moral reflectiveness, offering novel insights into the role of value-based fit in reducing deceptive knowledge hiding.

The purpose of this mixed-methods study was to explore how medical secretaries experience digital transformation in a Swedish healthcare organisation, with a focus on workplace climate and health.

Data were collected using a sequential exploratory mixed-methods design based on grounded theory, with qualitative data collection (a Quality Café and individual interviews) followed by quantitative data collection (a questionnaire).

Four categories with seven underlying factors were identified, emphasising the crucial need for effective organisation of digital transformation. This is vital due to the increased knowledge and skills in utilising technology. The evolving roles and responsibilities of medical secretaries in dynamic healthcare settings should be clearly defined and acknowledged, highlighting the importance of professionality. Ensuring proper training for medical secretaries and other occupations in emerging techniques is crucial, emphasising equal value and knowledge across each role. Associations were found between some factors and the health of medical secretaries.

This study adds to the knowledge on digital transformation in healthcare by examining an important occupation. Most data were collected online, which may be a limitation of this study.

Several aspects of the medical secretaries’ experiences were identified. Knowledge of these is valuable for healthcare managers to make digital transformation more effective while avoiding excessive strain on medical secretaries.

Medical secretaries are expected to contribute to the digitalisation of healthcare. However, minimal research has been conducted on the role of medical secretaries in workplace digitalisation, focusing on workplace roles and its dynamics.

This study uses a systematic review to explore the potential causes of previous findings related to e-government acceptance research. By identifying the most frequently used, best, promising or worst factors that affect the acceptance of e-government, this research presents a research agenda for e-government researchers.

Through conducting a systematic review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) procedure, this research first selected 109 papers. Subsequently, this research analyzed the predictors and linkages of e-government acceptance by adopting a weight-analysis method proposed by Jeyaraj et al. (2006).

The results first revealed the five most frequently used predictors and five best predictors of e-government acceptance at a comprehensive level. Furthermore, this study summarized the best predictors affecting the acceptance of e-government from the perspectives of adopter types and e-government stages. The results also illustrated the promising and the worst predictors influencing e-government acceptance.

The contribution of this research is twofold. First, this study identified the linkages between e-government acceptance at the individual and organizational levels and between different e-government development stages. Second, this research provided a research direction that could offer useful insights for future e-government studies.