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This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

Managers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.

Using existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.

We identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.

Similar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.

In response to observed changes in the evolving needs of our community, and a call for proactive, strategic planning from campus administration, library and key learning commons partners gathered for a retreat in June 2023 to focus on rightsizing to answer six key questions: What is the right mix of collections to support the teaching, research and learning goals of the Seattle University community? What is the right variety of spaces to support the teaching, research and learning goals of the Seattle University community? What are the right mix of on ground and virtual services to support the teaching, research and learning goals of the Seattle University community? What technologies are needed to support the teaching, research and learning goals of the Seattle University community? What is the right staffing (model, levels+) to support the teaching, research and learning goals of the Seattle University community? What type of library and learning commons do we want to be in five years?

The article discusses and provides review of literature on concepts like rightsizing and appreciative inquiry/ strengths, opportunities, aspirations and results (SOAR) analysis. It will describe how note-taking, and qualitative analysis of feedback gathered during an in-person exercise can be used to identify actionable goals and activities as a follow-up to an in-person retreat.

To focus this conversation, an appreciative inquiry approach using a SOAR analysis was used, instead of a traditional strengths, weaknesses, opportunities and threats (SWOT) analysis, to utilize a constructivist approach to future thinking. This case study will explore rightsizing as it pertains to academic libraries, and the use of SOAR as a framework for capturing feedback and discussion.

As the article is a case study, it represents feedback collected specifically from one university library and learning commons. However, the questions asked, and the consolidated feedback are broad enough to be applicable to similar library systems.

The authors aim to demonstrate how appreciative inquiry and strength-based discussions using SOAR can lead to meaningful future-thinking conversations that might otherwise feel threatening. As rightsizing is often connected to downsizing, or conversations about reductions, using techniques like SWOT analysis which focus on weaknesses and threats can lead to anxiety and fear for participants. It can limit conversation, when members of a focus group or retreat feel unwilling to participate. By using constructivist approaches, it invites introspection and participation in a positive way, and focuses on forward thinking – and not just thinking of the present.

Rightsizing discussions are not particularly new or unique to libraries but are most seen in articles discussing collections. The scope of this project was to assess not only collections, but services, technology, staffing and spaces – in addition to our collections. Similarly, SOAR analyses are not the most common form of strategic analysis, and an appreciative inquiry approach to a rightsizing conversation in academic libraries is a relatively timely and new topic.

Even though extant research highlights the crucial role some stakeholders play in helping corporations understand, manage and mitigate the occurrence of modern slavery in their supply chains and operations, there is a fundamental lack of understanding of all the relevant stakeholder groups and the specific roles they play. By adopting a stakeholder theory approach, this study aims to identify all the key stakeholders and their associated roles towards supporting corporations’ modern slavery monitoring, detection and disclosure activities.

A systematic literature review was conducted by following the PRISMA guidelines. Relevant literature included scholarly work focusing on the identification of key stakeholders and the roles they play in enabling corporations’ modern slavery monitoring, detection and disclosure activities.

Nine stakeholder groups and their roles were identified, such as governments, workers, IGOs, NGOs and suppliers. Examples of performed activities include conducting audits, providing training, monitoring occurrences of modern slavery, enforcing regulations, reporting on labour issues and evaluating corporations’ modern slavery reports.

A comprehensive understanding of key stakeholders and their roles enables better collaboration towards achieving transparency within corporations’ supply chains and operations. Other stakeholders can leverage these findings to enhance modern slavery reporting activities.

Clarity regarding key stakeholders and their roles may improve quality and quantity of reported modern slavery information, enhancing corporations’ public accountability.

This study adopts a stakeholder theory approach to provide a comprehensive understanding of key stakeholders and their roles in enhancing corporations’ modern slavery reporting activities.

The objective of this study is to investigate the interaction effect between incentive type (financial and compassionate incentives) and the ethicality of merchant strategy on consumer willingness to post positive reviews, while also examining potential variations in consumer responses based on consumption experience, shopping frequency and social class.

Building upon construal level theory, we hypothesized the moderating influence of the ethicality of merchant strategy and examined the three-way interaction among consumers’ demographic characteristics (i.e. consumption experience, shopping frequency and social class), incentive type and the ethicality of merchant strategy. To empirically test our hypotheses, we conducted four experiments and employed ANOVA for data analysis.

The ethicality of merchant strategies moderates the association between incentive type and consumer willingness to post positive reviews, with compassionate incentives eliciting more pronounced moral judgments toward merchant strategies compared to financial incentives. The moderating effect of the ethicality of merchant strategy on the relationship between incentive type and consumer willingness to post positive reviews is particularly strong among consumers who have favorable consumption experiences, engage in frequent shopping and belong to lower social classes.

This study contributes to the existing literature on online reviews by examining the impact of compassionate incentives on consumer review behaviors, analyzing the ethicality of merchant strategies within the realm of online reviews and investigating variations in consumer responses to merchant strategies regarding consumption experience, shopping frequency and social class.

This study investigates the roles of consumption motives and ethical perspectives in explaining individuals’ perceptions of corporate social responsibility (CSR) within the context of the recreational marijuana industry, often characterized as morally contentious.

The research was conducted in Canada, a country where recreational marijuana is legally permitted. Through an online survey, 411 participants were recruited, and the data were analyzed using Statistical Package for the Social Sciences (SPSS) and SmartPLS4, employing ANOVA and structural equation modeling (SEM) techniques.

ANOVA analyses reveal significant differences across four ethical perspectives: absolutism, subjectivism, situationism and exceptionism. Conformity motives are most prominent in the exceptionism group, while expansion motives are more common in the subjectivism group. CSR perceptions vary among these groups, with situationism showing the most favorable views. In the absolutism group, expansion and social motives positively influence CSR perception, whereas conformity motives negatively impact it. Conversely, in the exceptionism and situationism groups, only expansion motives positively affect CSR perception. Unexpectedly, within the subjectivism group, only conformity motives have a significant negative effect on CSR perception.

This study examines a controversial industry and contributes to research on recreational marijuana by comparing consumer motives from ethical perspectives. Unlike previous research focused on consumption behaviors (e.g. use frequency), this study investigates how CSR perceptions are shaped by consumption motives and vary with ethical viewpoints.

This paper aims to examine whether information technology (IT) managers’ virtual listening, as rated by their high-tech employees, affected turnover behaviour beyond a new constellation of variables, some of which have never been researched as antecedents of turnover behaviour, particularly during a pandemic or crisis. Namely, the main aim, among others, is to answer the research question: does IT employees’ perception of the quality of their supervisors’ virtual listening in the pandemic and crisis era, when employees and managers work remotely, will negatively affect turnover behaviour? If yes, in which constellation of antecedents the virtual listening effecting on turnover behaviour?

Logistic regression analysis was conducted to test the hypotheses via SPSS 26 and PROCESS (Model 6). The variance inflation factor was calculated to test multicollinearity. Interaction was tested using the Hayes and Preacher PROCESS macro model. The researchers also used the J-N technique test (Johnson–Neyman via process). The supplemental analysis used also PROCESS MACRO (IBM Corp., Armonk, NY, USA, 2023) Model 4 and Bootstrap test.

The findings show that perceptions of supervisors’ virtual listening quality as rated by their employees moderated the relationship between organisational deviance as a type of organisational misbehaviour (OMB) and turnover behaviour and had the strongest effect on turnover behaviour beyond other key predictors (organisational deviance as a type of misbehaviour, turnover intention, job satisfaction, embeddedness and alternatives in the labour market). Alternatives to current work moderated the association between the perception of managers’ virtual listening behaviour as rated by their employees and turnover behaviour. Specifically, when alternatives in the labour market were high or medium, the perceived quality of managers’ virtual listening reduced turnover behaviour. Finally, the perception of the IT employees supervisors’ virtual listening moderated the relationship between organisational deviance and turnover intention among high-tech employees.

Evaluating supervisor listening in the high-tech firm may have value in terms of its relationship to outcomes such as retaining employees, turnover intention and especially turnover behaviour. The effect on turnover behaviour and of that new constellation of antecedents on turnover behaviour when people work remotely was not researched yet and important for the post COVID-19 era. Additionally, in contrast to most studies of turnover, this study also focus on the positive aspects of turnover and especially turnover behaviour to organisations in general and especially to high-tech firm and not just the negative aspect as was researched until now. Another contribution is the finding that when employees perceived their managers’ virtual listening quality as high, the effect of deviance as a type of OMB on turnover behaviour was positive. Namely, the listening as a moderator and turnover assisted in making the organisation cleaner from inappropriate behaviour. Additionally, when alternatives in the labour market are high or medium, perceived quality of virtual listening of managers as rated by their employees can reduce turnover behaviour. This virtual listening–turnover relationship and the moderator of alternatives to current work had not previously been found in the turnover literature and this is also significant a contribution to the turnover and withdrawal literature.

School leaders can significantly influence the conditions that affect teacher retention. Yet, leaders in rural and high-poverty schools often face limited opportunities to develop their abilities to enhance these conditions. In this case study, we examine how participating in a professional community supported school leaders' efforts to increase teacher retention and student learning outcomes.

We used case study methodology to study 14 leaders from rural, high-poverty or underperforming schools with greater-than-average levels of teacher turnover. The leaders were participating in a three-year research-practice partnership intended to assist them in using improvement science to address problems of practice related to teacher retention and student learning outcomes in their schools. We collected and analyzed data from interviews, exit surveys, artifacts and participant observations over a one-year period.

Participating in this professional community helped the leaders create the conditions for increased teacher retention and student learning outcomes by providing them with opportunities to collaborate with their peers, receive leadership coaching, exchange ideas and learn in a safe space.

These findings confirm and extend extant school leadership development research. A particularly interesting finding was the role of the professional community in reducing the leaders' feelings of isolation while providing them a safe space to learn. The findings also illustrate how universities and school districts can partner to provide professional learning opportunities that enhance school leaders' professional knowledge, leadership practices and well-being.