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The PRCA December 2020 census tells us that, in the United Kingdom, the public relations (PR) industry continues to be predominantly female, with 68% of respondents ticking that box. It also highlights a ‘gender pay gap’ of 21%, an increase of 7% from March 2020 and states that ‘this can be explained by the fact that the respondents … are largely in senior roles which tend to be more male dominated’ (PRCA, 2020), thus demonstrating a leadership gap as well as a pay one. Both of the leading PR professional membership bodies in the United Kingdom – the PRCA and CIPR – acknowledge the gender pay and leadership gaps, made starker in an industry dominated by women, and have committed to tackle the disparity.

In this chapter, I build on Liz Yeomans' (2020) work, in which she suggests ‘new avenues for researching neoliberalism and postfeminism in PR’ (p. 44) to examine the ‘apparently progressive moves’ (Yeomans', 2020) by women's networking organisations. I analyse website texts from two women-only PR networking organisations – Women in PR and Global Women in PR – to explore the ways in which they construct their function, purpose and role, and to examine their position vis-à-vis the contemporary postfeminist media culture (Gill, 2007). The research takes a feminist, discourse analytic approach and sheds light on the reality of women in PR as constructed by organisations whose stated goal is to: ‘improve equality and diversity across the industry by increasing the number and diversity of women in leadership roles’ (Women in PR, 2022).

This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.

Killing Eve (BBC 2018–2022) has been hailed as a feminist television show. Its cinematic production values call upon a history of espionage on screen, encompassing international intrigue and glamorised hyperviolent action sequences. Is this violent aesthetic a cathartic reference to newly visible feminist discourse or are we just being sold a new version of old fantasies?

In this chapter Killing Eve is examined in relation to a history of violent women spies on screen, from Emma Peel (The Avengers 1961–1969) to Sydney Bristow (Alias 2001–2006). While Villanelle (Jody Comer) appears to present an amoral account of postfeminist ‘empowerment’, Eve (Sandra Oh) carries echoes of second-wave feminist concerns with community, morality and ethics. With each season the differences between Villanelle and Eve unravel, raising questions about what constitutes ‘quality’ television and how that might intersect with old-fashioned ideas about women's liberation. While the show depicts each character as ‘liberated’ in some respects, they are both entangled in corporate nets which repeatedly put them in danger and pull them back into violence as a form of labour.

Spirituality is a concept that explains the spiritual dimension of human beings. Meaning of life, being together, and the bigger one's existence are the components of spirituality. In that manner, workplace spirituality is an area that endeavors to find the meaning of the work together with the community. Research reveals that workplace spirituality has several dimensions, and inner life, sense of community, and meaning at work are validly used. Though developing in the research area, misunderstandings and misuses of the phenomenon causes several dark sides. In this context, this chapter aims to reveal these in five aspects to contribute to enhancing the literature. The ambiguity in defining spirituality and religion is the first dark point in understanding workplace spirituality. Accepting spiritual executions at work as a tool for profitability is the second. The scarcity of awareness of executive leaders about workplace spirituality is the other. Considering the studies on workplace spirituality as a fad and the expected difficulties in developments about the area is the fourth. Finally, workplace spirituality-based misbehaviors at work are the last dark side, addressed in this study. In addition to the explanations in its content, the authors present a bibliometric analysis conducted by R. The chapter concludes with general evaluations and suggestions for future studies.

A growing body of research finds that gig economy platforms use gamification to enhance managerial control. Focusing on technologically mediated forms of gamification, this literature reveals how platforms mobilize gig workers’ work effort by making the labour process resemble a game. This chapter contends that this tech-centric scholarship fails to fully capture the historical continuities between contemporary and much older occurrences of game-playing at work. Informed by interviews and participatory observations at two food delivery platforms in Amsterdam, I document how these platforms’ piece wage system gives rise to a workplace dynamic in which severely underpaid delivery couriers continuously employ game strategies to maximize their gig income. Reminiscent of observations from the early shop floor ethnographies of the manufacturing industry, I show that the game of gig income maximization operates as an indirect modality of control by (re)aligning the interests of couriers with the interests of capital and by individualizing and depoliticizing couriers’ overall low wage level. I argue that the new, algorithmic technologies expand and intensify the much older forms of gamified control by infusing the organizational activities of shift and task allocation with the logic of the piece wage game and by increasing the possibilities for interaction, direct feedback and immersion. My study contributes to the literature on gamification in the gig economy by interweaving it with the classic observations derived from the manufacturing industry and by developing a conceptualization of gamification in which both capital and labour exercise agency.

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show the usage of this information in financial decision processes.

Need for the Study: Main financial reports such as balance sheets and income statements can be analysed by statistical methods. However, an expanded financial reporting framework needs new analysing methods due to unstructured and big data. The study offers a solution to the analysis problem that comes with non-financial reporting, which is an essential communication tool in corporate reporting.

Methodology: Text mining analysis of annual reports is conducted using software named R. To simplify the problem, we try to predict the companies’ corporate governance qualifications using text mining. K Nearest Neighbor, Naive Bayes and Decision Tree machine learning algorithms were used.

Findings: Our analysis illustrates that K Nearest Neighbor has classified the highest number of correct classifications by 85%, compared to 50% for the random walk. The empirical evidence suggests that text mining can be used by all stakeholders as a financial analysis method.

Practical Implications: Combining financial statement analyses with financial reporting analyses will decrease the information asymmetry between the company and stakeholders. So stakeholders can make more accurate decisions. Analysis of non-financial data with text mining will provide a decisive competitive advantage, especially for investors to make the right decisions. This method will lead to allocating scarce resources more effectively. Another contribution of the study is that stakeholders can predict the corporate governance qualification of the company from the annual reports even if it does not include in the Corporate Governance Index (CGI).

The existing literature on abusive supervision, defined as a perception by subordinates that their supervisor displays hostility toward them (but falling short of physical abuse), is deficient insofar as it fails to account for workgroup differences in employees' perceptions of abusive supervision. We therefore sought to study such differences, which refer to as “abusive supervision dispersion (ASD).”

We interviewed 40 employees from a variety of organizations in Australia, focusing on the role of affective events in ASD dynamics, with a view to understanding how this phenomenon relates to individual and team processes.

We found that ASD stimulates employees to harbor negative emotions and resentment toward their supervisor, causing them to perceive even positive events negatively. We found further that, while low ASD facilitates team-member exchange by forcing abused members to band together resulting in low team conflict, high dispersion facilitates formation of subgroups and high team conflict.

These findings illuminate the paradoxical nature of ASD and suggest that employees experience dispersion through three paradoxes: (1) dispersion paradox, (2) resentment paradox, and (3) team paradox. Overall, these findings suggest that subordinates' perceptions of high ASD are associated with detrimental impacts on team performance.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

This study aims to study the impact of corporate governance (CG) versus ethical investment on the firm performance. It takes into account the firms of Bangladesh, India, and Pakistan for the purpose of the study. A composite variable of CG index and environmental, social, and governance (ESG) index is used to test the impact on the firm performance. Separate country wise and overall analysis is obtained. Regression analysis is used to obtain the results. Two measures of performance are used, one is return on assets (ROA) and other is Tobin Q. The findings of the study reveal that there is an impact of corporate governance index (CGI) on firm performance (overall and country wise) whereas ethical investment (EI) has an impact on firm performance when tested overall and no impact when checked for country wise results. The results further show that on country level, increase in CG measures may lead to positive results, but at the macro level, it may lower the performance. On the other hand, at the micro level, ethical finance may not show its impact; however, at the macro level, it has an impact. The study has implications for the investors and policymakers.