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Several inferential procedures are advocated in the literature. The most commonly used techniques are the frequentist and the Bayesian inferential procedures. Bayesian methods afford inferences based on small data sets and are especially useful in studies with limited data availability. Bayesian approaches also help incorporate prior knowledge, especially subjective knowledge, into predictions. Considering the increasing difficulty in data acquisition, the application of Bayesian techniques can be hugely beneficial to managers, especially in analysing limited data situations like a study of expert opinion. Another factor constraining the broader application of Bayesian statistics in business was computational power requirements and the availability of appropriate analytical tools. However, with the increase in computational power, connectivity and the development of appropriate software programmes, Bayesian applications have become more attractive. This chapter attempts to unravel the applications of the Bayesian inferential procedure in marketing management.

Many organizations around the world currently are facing board diversity issues and challenges. Hence, this empirical paper investigates the relationship between board diversity and firm’s financial performance. We use a sample of 35 companies from five countries in Southeast Europe (Macedonia, Croatia, Serbia, Bosnia and Herzegovina, and Greece) for the period between 2008 and 2012 to find that, on average, companies with well-educated board members are more profitable and overvalued on the market. When running the regression again to test the levels of heterogeneity, we also find that the companies with more women on board tend to be overvalued on the market, while those with more foreigners on board are subject of undervaluation. The paper mostly contributes to the literature on corporate governance and board diversity. First, we postulate the impact of each of the board diversity variables on the financial performance and then show the extent of this impact and its economic interpretation. Our findings have important practitioners’ implications for corporate regulators and policy-makers since the demonstrated positive impact of the well-educated board members on firm’s financial performance gives a new impetus in building a corporate strategy that will intend to engage more people holding PhD on board.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

Digitalization has become more central in organizations than ever before. Traditionally, organizations were places where employees spent most of their time. With digital organizations, working life has become flexible in terms of time and space, and the way of doing work has changed radically. While it has become difficult for employees to keep up with technological change and transformation, various digital conflicts related to technology have emerged within the organizations. This chapter deals with digital conflicts that occur in digital organizations. Digital conflicts could affect both the efficiency of organizations and the attitudes and perceptions of employees toward the organization. However, studies on the understanding of digital conflict management in digital organizations are quite limited. In this chapter, therefore, the causes and organizational consequences of digital conflicts in terms of organizational behavior are reviewed. The study indicates that digitalization, which is expected to increase workplace effectiveness and efficiency, could lead to destructive conflicts if not managed well, reducing socialization and job satisfaction of employees. The study also has shown that a well-managed digitalization process could increase efficiency and productivity for digital organizations and could increase job satisfaction by providing flexibility to employees. The chapter ends with suggestions for digital organizations to manage digital conflict management successfully.

The United States has an uncomfortable relationship with pleasure. Cultural ambivalence is evident in discourses surrounding pleasure and the labeling and treatment of those who act on their desires. Pleasure seeking, generally understood in moral terms, is often medicalized and criminalized (as in the case of pregnancy prevention and drug use), placing questions of how to manage pleasure under the purview of medical and legal actors. At the macrolevel, institutions police pleasure via rules, patterns of action, and logics, while at the microlevel, frontline workers police pleasure via daily decisions about resource distribution. This chapter develops a sociolegal framework for understanding the social control of pleasure by analyzing how two institutions – medicine and criminal justice – police pleasure institutionally and interactionally. Conceptualizing medicine and criminal justice as paternalistic institutions acting as arbiters of morality, I demonstrate how these institutions address two cases of pleasure seeking – drug use and sex – by drawing examples from contemporary drug and reproductive health policy. Section one highlights shared institutional mechanisms of policing pleasure across medicine and criminal justice such as categorization, allocation of professional power, and the structuring of legitimate consequences for pleasure seeking. Section two demonstrates how frontline workers in each field act as moral gatekeepers as they interpret and construct institutional imperatives while exercising discretion about resource allocation in daily practice. The chapter concludes with a discussion of how understanding institutional and interactional policing of pleasure informs sociolegal scholarship about the relationships between medicine and criminal justice and the mechanisms by which institutions and frontline workers act as agents of social control.

Introduction: Human resource management (HRM) is going through a transformation phase due to the pandemic. The COVID-19 crisis compelled the employees to work virtually. To mitigate the effects of COVID-19, several organisations heavily invested in artificial intelligence (AI) in the realm of HRM.

Purpose: With limited studies on the paradigm shift in HRM post-pandemic and the role of AI, the study investigates and proposes a conceptual framework for the paradigm shift in HRM practices post-COVID-19 pandemic and the significance of AI. Furthermore, the study investigates the outcomes of the use of AI in HRM for organisations and employees.

Methodology: A comprehensive review of the literature based on the guidelines of Tranfield, Denyer, and Smart (2003) and Crossan and Apaydin (2010) has been followed. A systematic literature review assisted in critically analysing, synthesising, and mapping the extant literature by identifying the broad themes involved.

Findings: COVID-19-related economic disruption has led to a paradigm shift in HRM practices. AI-enabled HRM practices are now centred around remote and contingent workforce management, mindfulness, social capital, increasing employee engagement, reskilling and upskilling towards new competencies, etc. AI is making remote work seamless through smooth recruitment and selection process, onboarding, career and development, tracking and managing the performance, facilitating learning, and talent management. Post-pandemic, AI-powered tools based on data mining (DM), predictive analytics, big data analytics, natural language processing (NLP), intelligent robots, machine learning (ML), virtual (VR)/augmented reality (AR), etc., have paved the way for managing the HRM practices effectively, thereby leading to enhanced organisational performance, employee well-being, automation, and reduced cost.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

This chapter aims to evaluate the relationship between the representation of women on corporate boards of directors and its impact on firm financial performance.

This study utilized both a systematic review and a meta-analysis, using a sample of 40 published studies, which gleaned financial indicator and observation data from 28 different countries.

As indicated in previous studies, while positive, there was no significant correlation found between the number of women serving on the boards of directors and firm financial performance.

The heterogeneity between the various studies analyzed may present difficulties in making general conclusions. The chapter could also be subject to publication bias, as the selection criteria included may indicate a need for further peer review. Future meta-analyses should include data associated with other financial indicators.

This study shows how composition ratios of men/women serving on corporate boards should be addressed in terms of proving for a greater diversity of leadership perspectives.

Previous systematic reviews and meta-analyses have analyzed country environments as moderators for the relationship between the representation of women on corporate boards and firm financial performance. The present study evaluates possible differences between the impact of the number of women serving on the board of directors on a variety of financial indicators (ROA, ROE, and Tobin’s Q).