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This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.

Food security reflects the amount of access and availability of healthy, nutritious, and culturally appropriate food and represents a significant problem both nationally and globally. Individuals and families that are considered food insecure experience disparities and inequities in food access and availability and insufficiency in the amount and kind of food required for a healthy lifestyle. We see high food insecurity as a violation of one's rights to a healthy and secure life and a denial of the opportunity for individuals, families, and communities to realize their full potential in society. Thus, we examine food insecurity from three distinct but related perspectives: social responsibility, social justice, and social sustainability. We then explore the link between food insecurity and the “built environment” as needed to shape research, practice, and sustainable solutions in the future.

Artificial Intelligence (AI) is permeating many facets of our daily lives, appearing in household appliances, cell phones and popular online apps. AI has the capacity to revolutionize teaching and learning processes in higher education institutions. The integration of AI technologies in education can lead to personalized learning experiences, improved educational quality and enhanced learning outcomes. However, the adoption of AI in higher education comes with challenges such as ethical considerations and the need to address equity and inclusion issues to ensure that all students benefit from AI advancements. This chapter considers how AI can be utilized in education, while acknowledging the challenges and finding ways to mitigate them. Useful tools include: Bespoke Learning, Intelligent Tutoring Systems, Grading, Collaborative, Learning Assistance, Research Support and Adaptive Learning. The challenges addressed are: ethical considerations, resistance to change and data security and privacy. In navigating the complexities of integrating AI in higher education, institutions must strike a balance between leveraging the transformative potential of AI technologies and addressing the ethical, social and technical challenges that accompany their implementation. By prioritizing ethical considerations, addressing resistance to change and safeguarding data security and privacy, higher education institutions can harness the benefits of AI to enhance teaching and learning practices, foster innovation and prepare students for success in the digital age.

This study aims to explore how health-care organisations learn from failures, challenging the common view in management science that learning is a continuous cycle. It focuses on understanding how the context of a health-care organisation and the characteristics of failure interact.

Systematically collected empirical studies that examine how health-care organisations react to failures, both in terms of learning and non-learning, were reviewed and analysed. The key characteristics of failures and contextual factors are categorised at the individual, team, organisational and global level.

Several factors across four distinct levels are identified as being susceptible to the situational impact of failure. In addition, these factors can be used in the design and development of innovations. Taking these factors into account is expected to stimulate learning responses when an innovation does not succeed. This enhances the understanding of how health-care organisations learn from failure, showing that learning behaviour is not solely dependent on whether a health-care organisation possesses the traits of a learning organisation or not.

This review offers a new perspective on organisational learning, emphasising the situational impact of failure and how learning occurs across different levels. It distinguishes between good and bad failures and their effects on a health-care organisation’s ability to learn. Future research could use these findings to study how failures influence organisational performance over time, using longitudinal data to track changes in learning capacity.

The authors examine the effect of greenhouse gas (ghg) assurance on cost of debt, and the effect of board gender diversity on cost of debt, for an international sample of listed companies.

Utilizing firm-level data and a quantile regression approach, this study examines the effects of greenhouse gas assurance and board diversity on cost of debt by employing an international sample of firms during 2015–2021.

The authors find that in firms with a relatively low cost of debt the external assurance of greenhouse gas emissions and gender diversity could significantly contribute to a reduction of cost of debt. Furthermore, other measures of board diversity that are linked with independent directors and skilled directors seem to contribute to an increase of firms' cost of debt in the lower end of distribution. Drawing from the agency theory, the authors showcase the fact that ghg assurance reduces information asymmetry and therefore agency costs such as borrowing costs and signals to the stakeholders a long-term commitment to excellence.

This study is the first that provides insights on the relationship between ghg assurance, board diversity and cost of debt.

This study aims to find the key drivers of green innovation in family firms by examining firm characteristics and geographical factors. It seeks to develop a conceptual framework that explains how internal resources and external environments influence environmental innovation practices in these businesses.

Using machine learning (ML) methods, this study develops a predictive model for green innovation in family firms, drawing on data from 3,289 family businesses across 27 EU Member States and 12 additional countries. The study integrates the Resource-Based View (RBV) and Location Theory to analyze the impact of firm-level resources and geographical contexts on green innovation outcomes.

The results show that both firm-specific resources, such as size, digital capabilities, years of operation and geographical factors, like country location, significantly influence the likelihood of family firms engaging in environmental innovation. Larger, technologically advanced firms are more likely to adopt sustainable practices, and geographic location is crucial due to different regulatory environments and market conditions.

The findings reinforce the RBV by showing the importance of firm-specific resources in driving green innovation and extend Location Theory by emphasizing the role of geographic factors. The study enriches the theoretical understanding of family businesses by showing how noneconomic goals, such as socioemotional wealth and legacy preservation, influence environmental innovation strategies.

Family firms can leverage these findings to enhance their green innovation efforts by investing in technology, fostering sustainability and recognizing the impact of geographic factors. Aligning innovation strategies with both economic and noneconomic goals can help family businesses improve market positioning, comply with regulations and maintain a strong family legacy.

This research contributes a new perspective by integrating the RBV and Location Theory to explore green innovation in family firms, highlighting the interplay between internal resources and external environments. It also shows the effectiveness of machine learning methods in predicting environmental innovation, providing deeper insights than traditional statistical techniques.

This article examines how geographic location (i.e. local or nonlocal) influences fans’ communicative convergence or distinctiveness in the context of an informal online fan community (i.e. Twitter [X]). Nonlocal fans, who live geographically distant from the team they support, derive distinctiveness and belonging from supporting a team from afar. This study considers how these needs materialize in online communication.

Text mining and textual analysis were employed to collect and evaluate tweets (N = 12,865) in terms of expressed emotion. Tweets were evaluated using the NRC VAD sentiment lexicon (i.e. valence, arousal, dominance) and then categorized based on geographic location and in-group/out-group status. The resulting groups were then analyzed with a two-way multivariate analysis of variance (MANOVA) to examine how geographic location relates to the expressed emotion of tweets.

The findings indicate nonlocal fans expressed statistically greater arousal compared to local online community members, reflecting their distinctiveness as nonlocal fans. Nonlocal and local fans expressed similar degrees of valence and dominance in their language, suggesting nonlocal fans converge communication behavior, seeking social approval from the salient online fan community.

This study suggests that geographic location influences communication behavior in online fan communities. Moreover, nonlocal fans may be valuable, and underutilized, advocates for sports teams in online community settings.

Employability skills have transformed from the acquisition of university degrees to possessions of cognate skills other than only degrees that can help employees secure employment in contemporary work environments. This study evaluates essential skills that will prepare millennia of youths and graduates for employment in the present job market. The study investigated four major hypotheses to underscore the employability opportunities of graduates in challenging 21st-century work environments.

To clearly gain an understanding of women’s disparity in society, the study employed a qualitative approach to evaluate the incidence of gender prejudice in a men’s dominant world. The study utilised two distinguished sampling strategies, purposive and snowballing sampling techniques, which were deemed suitable and useful due to the nature of the study. The study recruited 42 participants by conducting semi-structured interview sessions for the study. The study employed a deductive approach to analyse the data obtained from participants. A thematic content analysis was used to take away prejudice and establish an overarching impression of the interviewed data. Atlas.ti was used to analyse the transcribed interview data from the participants to establish common themes from the surveyed informants.

The results of this investigation indicated that there is a deep-rooted trend of institutionalised men’s dominance in politics and religious leadership. Women perceived less representation and men dominated the two domains of existence in their local environment. The study established that women are optimistic about a turnaround narrative on gender equality in politics and religious leadership. They expressed their concern about strengthened public debate and campaigns on women’s representation, and against gender discrimination. The study further shows that women are influencing the ethical and moral sense for change against women’s neglect in society. They expressed their concerns against the selection of people into political offices for elected political posts and observed the peculiarity of political godfathers fixing their favourite men into those offices.

The study discovered that women are leading campaigns for their representation in politics as well as church leadership today. The novelty of this study bothering around two domains of women’s lives – politics and religion, in particular, church leadership. These have not been evidence before in a study.