Talent management is a way banks acquire competitive advantage. Practices such as personality profiling with effective knowledge-based productivity and the application of high-performance work systems help to set a company apart from its competition and maintain this competitive advantage. This book provides an in-depth look at the relationship between personality types and individual-level performance in knowledge-based environments, through cases in Australia’s banking and finance sector. This book also examines how high-performance workplace systems influence individual performance in relation to productivity through a multi-level analysis of micro- and meso-level factors. The findings in this book have relevant implications not only for the Australian system but also for other banking and financial service contexts outside of Australia.

This textbook takes a theoretically informed and practice-based approach to strategic human resource management (HRM) and employment relations (ER). The book follows a unique pedagogical design employing problem-based learning and participant-centred learning approaches, both of which the author has extensive experience in implementing with advanced undergraduate HRM and post-graduate learners. This new edition includes chapters on artificial intelligence (AI) and HR, employee experience and engagement, managing HRM during crises, and eight new cases. In addition, this book includes an online instructors’ manual for instructors.

This book looks at how Chinese companies optimize investment opportunities while implementing the Belt and Road Initiative (B&R or BRI). Specifically, it studies five high-profile infrastructure projects undertaken by Chinese firms. Going in-depth through case-study analysis, this book fills a gap by providing the background stories of these projects. By applying a case study approach to five notable and representative B&R projects, including Hambantota Port, the Port de Djibouti, and China–Belarus Industrial Park, it is found that strategies of Chinese firms to implement the BRI have been designed to achieve property rights security, reduction of transaction costs, and internalization of benefits overflowing from expanded business scope or multiple business lines. With firsthand data from host stakeholders and on-ground project managers, this book is a highly relevant and valuable text for policy makers and researchers hoping to understand the policy impact and implications of B&R investments on targeted countries

How can the public manager create and co-create value in the digital economy? While there is much exciting work being done, there is a pressing need to recontextualize public value theory (PVT), specifically in terms of its theoretical precepts, in the fluid and dynamic environment that the digital economy has produced. Much of the theoretical undergirding of PVT predates the full onset of today’s digital economy, leaving aside phenomena including citizen-driven innovations, decentralized digital structures, and the algorithmic foundations of new economic life. This is why a conceptually driven exercise in contemporizing PVT would be of great value to public administration’s theoreticians seeking to lead the theory in catching up to the praxis. This book seeks to answer the question of creating and co-creating public managerial value by developing chapters that revisit categories central to the functions of public managers in relation to other value-creating agents under PVT. It introduces new and important lenses to PVT that are grounded in the praxis of the digital economy, raising new questions about old problems in PVT and generating newer formulations that push PVT forward and make its debates salient to the futures that lay before the modern public manager. The book therefore constitutes an important effort to take PVT forward by shedding new light on the potency of the public manager in confronting and constructing the digital economy through co-creation with the other agents of public value. It will be of interest to researchers, academics, and policy makers in the fields of public and nonprofit management, public administration and policy, and PVT.

Due to automation, nearly half of the jobs will vanish over the next two decades in the US. However, the problem is not confined to any particular country. Management educators in higher education are faced with two fundamental questions: (a) how we prepare our students for new required technology competencies when conducting international business and (b) how we work with new technologies to prepare our students. While the next generation of employees requires competencies in working with artificial intelligence relying on data analytics, the emergence of artificial intelligence and new technologies in augmenting teaching is changing the nature of higher education across the globe. Management Education and Automation explores international management education in light of exponential development of artificial intelligence, big data, demographic shifts, expansion of robotic utilization in many economic sectors, aging populations and negative population growth in developed economies, multipolar international political systems, migration patterns, and fundamental shifts in individual and social interactions via digital media. It shows the latest state of knowledge on the topic and will be of interest to researchers, academics, policymakers, and students in the fields of international business and management, globalization, management education, and management of technology and innovation.

Trust is a pervasive catalyst of human and business relationships that has inspired interest in researchers and practitioners alike. It has been shown to enhance engagement, communication, organizational performance, and online activities. Despite its role to cultivate cooperation, knowledge-sharing, and innovation, trust through digital means or even trust in digital media has presented new opportunities and challenges in society. Examples include a wider and faster dissemination of trust-influencing messages, and richer options of digital cues that engage, disrupt, or even transform how trust is formulated. Despite that, trust helps people to live through risky and uncertain situations, and the many capabilities enabled on the digital platforms have made the formation and sustaining of trust very different compared to traditional means. Trust in today’s digital environment plays an important role and is intertwined with concepts including reliability, quality, and privacy. This book aims to bring together the theory and practice of trust in the new digital era and will present theoretical and practical foundations. Trust is not given; we must work to build it, but it is a very fragile and intangible asset once built. It is easy to destroy and challenging to rebuild. Researchers, academics, and students in the fields of management, responsibility, and business ethics will gain knowledge on trust and related concepts, learn about the theoretical underpinnings of trust and how it sustains itself through digital dissemination, and explore empirically validated practice regarding trust and its related concepts.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

In a financial revolution, new determinants of performance arise and interest in the way performance is measured and communicated to stakeholders grows. This book presents a wide and accurate analysis of the impact that regulation, structural changes and new financial products have on the performance of markets and intermediaries.

Emerging markets are increasingly facing significant challenges, from a slowdown in productivity, rising debt, and trade tensions to the adverse effects of proliferating global uncertainty on domestic financial systems. This incisive Handbook examines the ongoing dynamics of global financial markets and institutions within the context of such rising uncertainty and provides a comprehensive overview of innovative models in banking and finance.

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."