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The attempt to establish a common European framework for core platforms' duties and responsibilities toward other actors in the digital environment is at the core of the recent scholarly debate surrounding the Digital Markets Act (DMA) proposal. In particular, the everlasting juxtaposition between the “data power” – as emerging from recent cases (Section 2) – that dominant tech companies enjoy and the concept of consumer sovereignty (Section 3) lies at the core of the proposal's attempt to identify digital core platforms as market gatekeepers. Accordingly, this chapter critically investigates the divide between power imbalance and consumer sovereignty in light of the architecture designed by the DMA, with a specific focus on its effectiveness in identifying gatekeepers' power drivers (Section 4). After highlighting the main critical aspects of the pertinent rules, opportunities for fruitful developments are then identified through the reframing of some of the notions considered in the proposal, and namely the role of “lock-in” effects and “data accumulation” (Section 5). Lastly, this chapter suggests that the DMA advancements – while desirable – are bound to be fragmentary in the absence of a wider appraisal of the nature of data power imbalance dynamics in the modern digital markets (Section 6).

Introduction: As Internet usage increases, so does widespread concern about surveillance and privacy. While most of the research primarily focuses on a particular digital setting, these problems cut beyond national boundaries and impact economies everywhere.

Purpose: This study critically analyses the Data Protection Bill 2019’s effectiveness within the context of surveillance and privacy in India’s digital economy. Investigating critical provisions of the bill, comparing it to international privacy laws and standards, and identifying potential gaps and weaknesses, this study provides insights into the bill’s ability to protect personal data and limit surveillance practices.

Methodology: The chapter is based on secondary sources of data, including academic articles, government reports, and news articles on the topics of surveillance, privacy, and the Data Protection Bill 2019 in India, involving content and critical discourse analyses.

Findings: The Data Protection Bill 2019 evaluation reveals a set of provisions with the overarching intent to safeguard citizens’ privacy worldwide and curtail undue surveillance practices exercised by both governmental bodies and private enterprises. Intricately delineates the entitlements of individuals concerning their data, encompassing vital aspects such as the right to access, rectify, and erase their data, the bill mandates stringent adherence to the principle of explicit consent when collecting and processing personal data.

Nevertheless, a comprehensive analysis also reveals several gaps and constraints inherent in the bill’s framework. One such area is the inclusion of exemptions for governmental entities, an aspect that raises international concerns regarding potential disparities in data protection practices.

Artificial intelligence (AI) has already changed the financial industry by increasing the accessibility and inclusiveness of financial services. While acknowledging the challenges posed by AI, this chapter provides insights into the positive impact of AI in promoting financial inclusion. AI has greatly enhanced credit scoring and risk assessment through the use of non-traditional data sources, enabling individuals with limited credit histories and low incomes to access loans and financial products. In addition, the implementation of AI-powered customer identification and verification systems has enhanced security measures while reducing the risk of fraudulent activity. However, the digital divide still remains a challenge to achieve wide financial inclusion. Limited access to technology and digital skills keeps some people from fully benefiting from AI-powered financial services. Access to loans through AI systems may seem convenient, but it also raises concerns about excess borrowing and the resulting unsustainable debt levels. In the age of digital finance, privacy and data security are still key issues. The chapter concludes by highlighting that more research is needed to address these challenges. By fully understanding the potential of AI, as well as its limitations, the power of technology can be harnessed to create more inclusive economic opportunities for everyone, especially those living in poorer areas.

In academia, assessment is often narrow in its focus on research productivity, its application of a limited number of standardised metrics and its summative approach aimed at selection. This approach, corresponding to an exclusive, subject-oriented concept of talent management, can be thought of as at odds with a broader view of the role of academic institutions as accelerating and improving science and scholarship and its societal impact. In recent years, open science practices as well as research integrity issues have increased awareness of the need for a more inclusive approach to assessment and talent management in academia, broadening assessment to reward the full spectrum of academic activities and, within that spectrum, deepening assessment by critically reflecting on the processes and indicators involved (both qualitative and quantitative). In terms of talent management, this would mean a move from research-focused assessment to assessment including all academic activities (including education, professional performance and leadership), a shift from focus on the individual to a focus on collaboration in teams (recognising contributions of both academic and support staff), increased attention for formative assessment and greater agency for those being evaluated, as well as around the data, tools and platforms used in assessment. Together, this represents a more inclusive, subject-oriented approach to talent management. Implementation of such changes requires involvement from university management, human resource management and academic and support staff at all career levels, and universities would benefit from participation in mutual learning initiatives currently taking shape in various regions of the world.

Strategic decisions leaders make involving organizational changes such as mergers and acquisitions (M&A), divestitures, and downsizing, which can influence and/or interact with other organizational factors. For example, within the context of M&A, changes impact financial performance, firm behaviors, and organizational culture. In addition, strategic decisions for these types of change can also interrelate with other more intrapersonal factors, including both leaders’ and employees’ health and well-being. Employee stress, also referred to as “merger syndrome,” outlines individual negative impacts of the changes including, but not limited to, cynicism and distrust, change wariness, and burnout, all accumulating to psychological effects including increases in detachment to work, stress, and sick leave. In this chapter, the authors outline the different impacts M&A phases have on stress and well-being and how they interrelate with the strategic decisions leaders make. The authors also outline future research opportunities and practical implications for how leaders and employees could better manage future major changes such as M&A activities.

This chapter concludes the book by addressing the complexities and challenges associated with smart cities. Despite the widespread enthusiasm and progressive policies surrounding smart cities, navigating this world remains a desirable yet complex challenge. Drawing on existing literature, this final chapter serves as a synthesis of the key points covered throughout the book and offers practical guidelines for navigating the landscape of smart cities. This chapter provides valuable tips and insights for both citizens and policymakers, recognizing their pivotal roles in shaping the future of smart cities. Additionally, it delves into the current challenges faced by smart city initiatives and discusses potential future directions. Emphasizing the need for ongoing adaptation and innovation, this chapter highlights the importance of overcoming obstacles and capitalizing on opportunities in the rapidly evolving digital age. By offering a comprehensive overview and practical recommendations, this chapter aims to equip readers with the knowledge and tools to navigate the complexities of smart cities effectively. It concludes the book on a forward-looking note, emphasizing the dynamic nature of smart city development and the continuous need for adaptation and innovation.