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Scholars highlight the lack of research that explains the mechanisms leading to knowledge sharing, which appears complex and involves many variables. The primary aim of this study is to investigate the direct effect of organizational support for innovation on job crafting behaviors and knowledge sharing. The second objective is to assess the mediating role of job crafting in the relationship between organizational support for innovation and knowledge sharing. The third aim is to compare the direct effects of organizational support for innovation on job crafting behaviors and knowledge sharing between teleworkers and office workers.

Based on an empirical study involving 193 teleworkers and 191 office workers, the structural equation modeling method was employed to examine the direct and indirect effects of organizational support for innovation on knowledge sharing via job crafting behaviors. The comparison between teleworkers and office workers was investigated using a multigroup approach in AMOS software. This research is grounded in the conservation of resources theory and social exchange theory to elucidate these relationships.

The results indicate that organizational support for innovation has a positive influence on job crafting activities, manifested by the increase in structural and social resources, as well as the amplification of work-related challenges. The results also indicate that organizational support for innovation directly promotes knowledge sharing behavior and indirectly through job crafting. Furthermore, the findings reveal that these effects on job crafting and knowledge sharing are stronger among teleworkers compared to office workers.

The study has limitations. Its cross-sectional design does not establish causality, potentially leading to common method variance. However, after implementing many procedural and performing statistical tests, common method variance was not significant in this research. Replicating the study longitudinally would be valuable. Additionally, considering personality traits and technology characteristics in job crafting behaviors would be beneficial. Lastly, the study focuses only on accountants and predates COVID-19, which may impact its findings and generalizability.

The study’s findings underscore the practical significance of supporting innovation and fostering job crafting to enhance knowledge sharing, particularly for remote workers. It highlights that the extent of employees’ engagement in job crafting depends on the level of innovation support provided in their workplace. To mitigate potential negative outcomes such as increased absenteeism, reduced productivity and retention challenges, organizations could benefit from training supervisors to prioritize and encourage job crafting and knowledge sharing behaviors among employees, especially in telework settings. Ensuring alignment between organizational messaging and managerial attitudes is crucial. Without autonomy or flexibility for job crafting, the positive effects of organizational innovation support may be limited.

This study contributes to the literature by demonstrating that job crafting behaviors serves as mechanisms between organizational support for innovation and knowledge sharing. The findings further advance the literature by revealing three psychological and motivational processes that may explain this relationship, particularly when comparing teleworkers to office workers. Our results reveal that the effect of organizational support for innovation on job crafting and knowledge sharing is stronger among workers who telework compared to office workers. This advances the theory of conservation of resources, especially the significance of resource gains, particularly in contexts where employees need resources, such as in telework.

Age-inclusive management practices are crucial for addressing the needs of the older workforce, but there is limited research on these practices. One underexplored area is how workplaces can support older employees dealing with the loss of a loved one. The psychological process of loss differs for older employees and can have adverse effects on their ability to perform in the workplace. The purpose of this paper is to explore how workplaces can provide the necessary tools to support their older grieving employees.

This conceptual paper draws on the job-demand resource model and signaling theory to investigate how flexible work arrangements can support older employees after a bereavement and contribute to optimal employee performance.

Flexible work arrangements are theorized to lead to optimal performance via informational support. An ethical climate and stronger cultural competencies are proposed to strengthen this relationship. A theoretical framework is presented for a comprehensive research approach.

This paper advances the current understanding of age-inclusive management and offers a novel perspective on the benefits of flexible working arrangements.

Ageism has deleteriously influenced individuals and society for nearly half a century. Despite receiving increased attention, it remains under-researched regarding how it might be reduced in the workplace. Even though its prevalence and allure, review studies on workplace ageism (WA) are also scarce, and thus a review is warranted.

To fill the preceding void, this study will systematically review the existing literature on WA using data from the past four decades.

This study identified the various antecedents and the intervention mechanism through which WA may be reduced. Additionally, through reviews, the authors advance the research by offering promising avenues for future research.

This review contributes to human resources managers and will inspire future scholars to delve deeper into combating age discrimination, stereotypes and bias toward employees in workplaces.

The purpose of this paper is to argue the relationship between chief sustainability officer, sustainability performance and corporate governance. Specifically, this paper aims to empirically examine the mediation role of corporate governance on the relationship between chief sustainability officer and sustainability performance.

The study sample includes 484 European companies that were listed on STOXX Europe 600 index between 2010 and 2022. There are 15 supersectors and 17 nations.

Results of this study show that the profile of chief sustainability officer has a positive impact on sustainability performance. In addition, the corporate governance mediates the relationship between chief sustainability officer and sustainability performance.

The findings may be of interest to the academic researchers, investors and regulators. For academic researchers, the results would be interesting in discovering the dynamic relation between chief sustainability officer, sustainability performance and corporate governance. For investors, these show that the existence of chief sustainability officer provides sustainability performance from good corporate governance mechanisms. For regulators, these advise the worldwide policy maker to give the importance to chief sustainability officer roles to improve the engagement of firms in sustainability performance reporting.

This paper extends the existing literature by examining the mediation impact of corporate governance on the relationship between chief sustainability officer and sustainability performance in the European context.

A systematic investigation of postgraduate leadership programs for health and/or human services offered by Australian higher education institutions was undertaken.

Quantitative analysis identified the core characteristics of the programs. A thematic analysis of the course learning outcomes was conducted and six major themes of disciplinary leadership and management knowledge; research and analytical skills; professional practice; communication and collaboration; creativity and innovation; and system knowledge are shared in this study.

The authors conclude that Australian universities have taken an evidence-based approach to leadership education.

More work might need to be undertaken to ensure leadership theories are incorporated into learning outcomes.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

This paper introduces the special issue on Race and Accounting and Accountability. In so doing, it explores racism in its historical and contemporary forms, the role of accounting and accountability in enabling racism and racial discrimination and also efforts of redress and resistance.

We reflect on several critical themes to demonstrate the pervasive and insidious nature of racism and, review the literature on race and racism in accounting, focusing on studies that followed the seminal work by Annisette and Prasad (2017) who called for more research. We also review the six papers included in this special issue.

While many overt systems of racial domination experienced throughout history have subsided, racism is engrained in our everyday lives and in broader societal structures in more covert and nuanced forms. Yet, in accounting, as Annisette and Prasad noted, the focus has continued to be on the former. This special issue shifts this imbalance – five of the six papers focus on contemporary racism. Moreover, it demonstrates that although accounting technologies can and do facilitate racism and racist practices, accountability and counter accounts offer avenues for calling out and disrupting the powers and privileges that underlie racial discrimination and, resistance by un-silencing minority groups subjected to discrimination and injustice.

This introduction and the papers in the special issue offer rich empirical and theoretical contributions to accounting and accountability research on race and racial discrimination. We hope they inspire future race research to nurture progress towards a true post-racial society.

Using Hong Kong as the context of study, this paper examines the role of education policy, particularly professional standards for teachers (PST) and principals (PSP), in enabling leadership for action on contemporary challenges and crises such as climate change.

This paper utilises critical policy analysis (CPA) and an associated analytical framework to examine key policy texts that are designed with the intent to frame the professional roles, practice and learning of educators and leaders in Hong Kong. The data analysis process involved rounds of descriptive coding, which was then collated into broader themes for discussion.

Policy texts emphasised the scope for educators to exercise leadership and decision-making that supports innovation, improvement and collaboration in the pursuit of a broad social mission for education, emphasising the skills students do and will need to respond to dynamic contemporary challenges. However, how this relates to broader policy goals, and limited articulation of the means through which this is possible, questions remain about the extent to which teachers and leaders are able to exercise leadership for action on climate change.

This study has important implications for how those in policymaking, research and practice spaces understand the framing of the role of teachers and school leaders in policy and the influence of this on their capacity to lead action on contemporary challenges and crises, such as climate change.

Police officers in the UK frequently experience traumatic events and work pressures, and these can have a detrimental impact on mental health. A psychological surveillance programme has been implemented and clinically evaluated. This paper reports an economic evaluation of the programme.

A decision analytic model was developed to explore programme costs, outcomes and return on investment for a notional cohort of 1,000 police personnel (officers and staff). The model parameters were obtained from a large data set of sequential psychological surveillance results. Changes in individual work productivity were derived from a workability measure included in the survey.

The modelled expected total cost incurred to screen 1,000 participants was £84,287 ($106,971). The expected net increase in work productivity for those receiving interventions was valued at £241,672 ($306,713). This result represents a return on investment of 187%. Sensitivity analyses showed that the model was robust to changes in key parameters.

Police personnel experiencing traumatic events may need specialist support from occupational health services or psychological therapy. Screening or surveillance can detect mental health problems, but its cost-effectiveness has been previously unknown.

The value for money of providing surveillance within the police force to detect mental health problems is assessed in this research. The gains in terms of increased work are evident. In similar environmental working conditions, this could extend to emergency services globally.

The police are often called upon to deal with the lowest points in people’s lives. The findings have implications for police forces wishing to support officers to be able to provide the best of themselves in these situations.

There have been no previous studies in policing that have concluded that running a psychological surveillance programme in policing is financially viable. Although this requires initial investment, this paper models that the extra costs incurred are more than offset by improved work productivity.

This study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.

Drawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.

The results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.

This study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.

1. The study investigates customers' adoption of AI chatbots' recommendation.

2. The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

3. The central and peripheral cues are generalized according to cooperative principle theory.

4. Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

5. Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

6. Customers' mind perception positively moderates the central and peripheral paths.

The study investigates customers' adoption of AI chatbots' recommendation.

The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

The central and peripheral cues are generalized according to cooperative principle theory.

Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

Customers' mind perception positively moderates the central and peripheral paths.