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This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.

Using a simulated employment negotiation, this experiment examined the relationship between dyad composition, negotiation strategies and levels of joint gain. Three dyad types were created on the basis of social value orientation, proself, prosocial and mixed. A log linear analysis showed that dyads were differentiated on the basis of the strategies associated with high joint gain. We identified a generic path to high joint gain in which all dyads increased priority information and decreased contention. Overlaid on this path, we identified dyad‐specific strategies and strategy sequences associated with high joint gain. Cooperative reciprocity was critical to high joint gain only in prosocial dyads. When dyads contained at least one prosocial negotiator, process management played an important role in determining the level of joint gain. When dyads contained at least one proself negotiator, the sequences associated with high joint gain functioned to divide resources.

Purpose – The purpose of this chapter is to outline what narrative inquiry entails, why it is relevant for the study of sport and physical culture and how researchers might engage in its analytical methods.

Design/methodology/approach – Narrative inquiry as an approach, not simply a method, is delineated in this chapter. The design of a project is outlined. Three types of narrative analysis – holistic-content, holistic-form and meta-autoethnography – are the focus. The chapter also attends to the benefits of using multiple forms of analysis and representation as part of engaging with the methodology of crystallisation.

Findings – Key findings of narrative research on sport and physical culture are illuminated throughout.

Research limitations/implications – The limitations of narrative analysis are highlighted, including how in many narrative studies the interactional dynamics of storytelling are often neglected.

Originality/value – The chapter provides a succinct introduction to why narratives matter, how narrative analysis as a craft might be practised and what theoretical assumptions underpin it. The authors also highlight innovative practices for deepening understandings of sport and physical culture. These include time-lining, mobile interviewing, analytical bracketing, crystallisation, meta-autoethnography and analysis as movement of thought.

Arthur W. Frank's dialogical narrative analysis (DNA) has been a recent addition to the plethora of methods in analysing stories. What makes this method unique from the rest is its concern for both the story's content and its effects. Stories are seen as selection/evaluation systems that do things for and on people. This chapter aims to provide the reader a heuristic guide in conducting DNA and emphasises learning through exemplars as the way of learning DNA. It provides an outline of DNA and reviews how researchers have applied it in different disciplines. Then, DNA will be applied in in the current ‘war on drugs’ in the Philippines. The stories of the policy actors – for and against the drug war – will be analysed to explore how stories affect policy choices and actions, call actors to assume different identities, associate/dissociate these actors and show how they hold their own in telling their stories. Finally, the potential of using DNA in criminology and criminal justice will be discussed.

Although scaling is considered a “hot topic”, very little is known about how knowledge management (KM) assists in scaling social impact. To fill this gap, the authors draw on knowledge-based and social capital theories and investigate how various KM practices and external networks (e.g. bridging social capital) affect scaling social impact in developing countries.

Applying structural equation modeling (SEM) with AMOS version 23, the authors conducted a survey with 354 women leaders who are working in women-led social enterprises in Dhaka, Bangladesh.

The authors found that knowledge codification, training and mentoring, and bridging social capital are positively and significantly associated with scaling social impact.

This is one of the pioneering study that explore how KM impacts scaling social impact for women-led social enterprises in the context of a developing country. The authors also extend knowledge-based theory by applying it at the individual level. Finally, the authors enhance the understanding of women entrepreneurship by showing that women entrepreneurs in developing countries are also utilizing bridging social capital to overcome challenges associated with scaling social impact.

Employee entrepreneurship has recently become an emerging area of investigation. However, due to the fragmentation of the turnover and entrepreneurship literature, no coherent theoretical framework has been developed to provide an adequate description of the employee entrepreneurial process. The purpose of this paper is to gain a deeper understanding of why and how an employee in an established organization progresses toward starting a new venture by exploring the key decision-making processes during the initial stages of employee entrepreneurship.

This study addresses the following research questions: What are the key decision-making processes during the initial stages of employee entrepreneurship? How are these decisions made, and how do they interact? This study employed a multiple case study approach, which enabled the authors to gain valuable insight into these “what” and “how” questions. The data consist of 28 in-depth employee entrepreneurship cases.

Based on an in-depth study of 28 cases, this study constructs a comprehensive model of the dynamic and interactive decision-making processes that lead to employee entrepreneurship. In particular, the findings reveal that rather than being a linear staged activity, employee entrepreneurship is an inherently iterative process that involves a set of interrelated subdecision-making processes related to turnover, team entrepreneurship and partner recruitment that entail multiple iterations and feedback loops based on an individual's cognitive judgment.

By illustrating and clarifying the importance of the effects of different initial motivations and the attributes of the network in the course of the employee entrepreneurship decision-making process, this study integrates the turnover and entrepreneurship literature and makes significant contributions to the current literature on employee entrepreneurship. Moreover, this study complements research investigating entrepreneurial team formation by providing a detailed understanding of how the lead entrepreneur and the prospective partner make mutual choices during the entrepreneurial team formation process.

This paper presents an updated summary of a meta-analysis of qualitative research on parenting children with disabilities published over the last 50 years. In this summary, we explore whether shifts in academic discourse and changes in professional training are reflected in research on parenting and/or the experiences of parents who are the subject of such research. The detailed findings of the original analysis were published in Volume 7 of Research in Social Science and Disability.

An extensive literature search was conducted, and 79 peer-reviewed qualitative studies on the experience of parenting a child with a disability were included in the sample. Themes were extracted from the reviewed literature and compared across decades.

The findings of the present review suggest that some aspects of the parenting experience have changed very little. In particular, parents continue to experience negative reactions such as stress and anomie, especially early in their children’s lives, and socially imposed barriers such as unhelpful professionals and a lack of needed services continue to create problems and inspire an entrepreneurial response. In addition, stigmatizing encounters with others continue to be a common occurrence. In contrast to earlier decades, studies conducted in more recent years have begun to use the social model of disability as an analytic frame and also increasingly report that parents are questioning and challenging the concept of “normal” itself.

Additional improvements are needed in professional education and services to reduce the negative reactions experienced by parents of children with disabilities. The findings of this meta-analysis can serve as a guide to future research on parenting children with disabilities.

Purpose – This chapter examines how we study group dynamics in the organizational behavior literature, in terms of the past, present, and future potential. The goal is to aid researchers in considering studying group processes in their own work.

Methodology/approach – Examples are given of different approaches used to elucidate how group dynamics can be studied in terms of frequencies, phases, and sequences across a variety of group process domains.

Findings – Results of the review suggest that while there has been more interest in studying group dynamics and examples can be found in the literature, there is still much opportunity for additional research. Advancements in theory and methods provide the means for doing so.

Originality/value – Suggestions are provided for groups researchers on how to put their existing recordings of group processes to work.

Leaders in different cultural contexts rely on various sources of guidance. Mapping these sources can lead to a clearer understanding of the types of challenges faced by global leaders than can be gained by focusing on their values. In this chapter, a series of clusters of nations are identified, and within each, leaders are found to favor a distinctive profile of guidance sources. When multinational enterprises seek to work across the boundaries defining these clusters, a series of individual and culture-level challenges arise. The best ways of handling these challenges are discussed.

The purpose of this paper is to report on research that identifies the relationships that senior managers believe exist between capabilities and business success. In doing so, it addresses the need for more empirical research about the role of strategic and dynamic capabilities in organisational performance. It also highlights the critical strategic and dynamic capabilities that are most valuable for practising managers.

A multi-method study was conducted. Eight types of strategic capability and ten types of dynamic capability commonly found in organisations were identified through consecutive literature review, web site content analysis and interviews with senior executives. A questionnaire survey was then used to ask senior officers of publicly listed Australian firms about the importance of each capability and financial and non-financial performance indicators. The relationship between capabilities and performance was measured by regression modelling.

Good leadership with an innovative vision and selection and retention of good staff and developing their skills and capabilities were the stand out strategic capabilities. Strategic thinking about the big picture and the long-term and flexible leaders who can lead and manage adaptation to change were considered to be the most important dynamic capabilities. Strategic capabilities were more often associated with indicators of financial success, and dynamic capabilities were more often associated with non-financial measures of organisational performance.

This is the first study to make a distinction between strategic and dynamic capabilities in examining the relationship between capabilities and business success. The results demonstrate that the distinction has both theoretical and practical value.