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Anti-racism has been practiced in various ways, with varying degrees of effectiveness. This chapter engages with the body of scholarship that focuses on approaches aimed at promoting anti-racist actions, policies and social change. It discusses some of the main anti-racism strategies that have been deployed across different countries and examines anti-racism practices in interpersonal, intergroup and community settings. These approaches encompass civil rights campaigns, legislative and policy interventions, affirmative action, diversity and inclusion training, prejudice reduction, intergroup contact, organisational development and holistic anti-racism approaches. Some anti-racism practices and policies, such as awareness campaigns, social marketing and diversity training, also extend to digital platforms, with social media and multimedia networks deployed to broaden the reach and impact of anti-racist endeavours. This chapter specifically engages with local anti-racism movements and draws principles for broader implementation of anti-racism policy and practice. It concludes with a brief discussion of the effectiveness of contemporary anti-racism approaches.

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

Purpose: The study discusses various concepts for human resources (HR) executives for effective decision making in VUCA times, talent management, hybrid work business model, creativity and innovation in HR practices, diversity, equity, and inclusion (DEI) in HR practices, and flexibility in HR policies.

Need for the Study: The driving truth of this study is to approach a successful dynamic critical model for HR leaders in the IT Industry in Chennai city during VUCA times. Volatility, Uncertainty, Complexity, and Ambiguity are the four main components of VUCA.

Methodology: The essential information was gathered with Google Structures, and testing methods were embraced to review the Snowball Examining Procedure. The 211 reactions were settled for the concentrate after deficient reactions. The auxiliary information was gathered from sources like Papers, Business Magazines, Industry Reports, Articles, and Reading material. The information was dissected with measurable programming SPSS 25 and AMOS 23. The validity check, t-test, correlation analysis, regression analysis, and structural equation modeling (SEM) are the statistical methods used in the study.

Findings: The review results that the free factor is the ability of The board, Crossbreed Work Plan of action, Imagination and development in HR rehearses, Variety, Value and Consideration in HR practices, and adaptability in HR strategies altogether affect the reliant variable viable decision making during VUCA times.

Practical Implications: The study identifies hybrid work models and flexible HR policies as crucial parameters in VUCA times.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

The attention of scholars and policy makers towards the topic of innovation has consistently increased, especially in recent years. This is justified by the fact that innovation undoubtedly plays, today, a crucial role in driving a country’s economic growth, improving productivity and, more generally, enhancing overall societal well-being.

When the discourse around innovation focuses on its economic dimension, the strong intertwinement with entrepreneurship emerges. In line with this, focusing on research on innovation in organisations and, especially, innovation in relation to the figure of the entrepreneur is considered, plenty of studies have been carried on, over time, in many disciplines, analysing the role of the entrepreneur in relation to innovation from various different angles. However, especially when management studies are considered, we can notice a poor consideration of the role played by the gender of the entrepreneur. In line with this consideration, by means of a systematic literature review, this chapter aims to fill this literature gap focusing on the intertwinement that can be envisaged, in management studies, among the issues of entrepreneurship and innovation in the case of women-owned firms.

Due to its high leverage nature, a bank suffers vitally from the credit risk it inherently bears. As a result, managing credit is the ultimate responsibility of a bank. In this chapter, we examine how efficiently banks manage their credit risk via a powerful tool used widely in the decision/management science area called data envelopment analysis (DEA). Among various existing versions, our DEA is a two-stage, dynamic model that captures how each bank performs relative to its peer banks in terms of value creation and credit risk control. Using data from the largest 22 banks in the United States over the period of 1996 till 2013, we have identified leading banks such as First Bank systems and Bank of New York Mellon before and after mergers and acquisitions, respectively. With the goal of preventing financial crises such as the one that occurred in 2008, a conceptual model of credit risk reduction and management (CRR&M) is proposed in the final section of this study. Discussions on strategy formulations at both the individual bank level and the national level are provided. With the help of our two-stage DEA-based decision support systems and CRR&M-driven strategies, policy/decision-makers in a banking sector can identify improvement opportunities regarding value creation and risk mitigation. The effective tool and procedures presented in this work will help banks worldwide manage the unknown and become more resilient to potential credit crises in the 21st century.

This chapter analyzes the efficiency levels of a circular economy (CE) with an emphasis on transaction costs. It examines the governance aspect of CE activities in comparison to the predominant linear value creation. Extant CE research in business studies tends to be descriptive and lacks a theoretical foundation, particularly in understanding CE management. Transaction cost theory explains efficiency in economic organizing, lending itself to the study of arrangements that maximize resource efficiency at continued economic virtue. The conceptualization proposes that CE transaction costs are greater than those within the linear economy (LE), primarily due to the uncertainties about reciprocal dependencies, looping material complexities, exchanging novel information, and increased contracting efforts. Geographically bounded and institutionally homogeneous CE initiatives may curb these rising costs. By bringing efficiency concerns into CE analysis, the chapter demonstrates the applicability of transaction cost theory and highlights CE relevance to international business by pointing out spatial choice implications.