This volume aims to critically reflect on the two-decades of the academic developments in the field of electronic HRM (e-HRM), and to analytically envisage its future developments. In this way, the volume greatly inform researchers, practitioners and university graduates about forthcoming developments in the field.

As with other parts of business, technology is having a profound effect on the world of work and management of human resources. Technology is a key enabler for faster, cheaper and better delivery of HR services and in some cases can have a transformational as well as unintended negative effect. Designed for the digital era, e-HRM is one of the first textbooks on these developments. It incorporates the most current and important HR technology related topics in four distinct parts under one umbrella, written by leading scholars and practitioners drawn from across the world. All the chapters have a uniform structure and pay equal attention to theory and practice with an applied focus. Learning resources of the book include chapter-wide learning objectives, case studies, debates on related burning issues, and the companion website includes lecture slides and a question bank.

This book covers various aspects of business such as Entrepreneurship, HR management, Supply chain management, Marketing, Finance, and Globalization within the Africa Context, especially as digital technology changes the African society. Private and NGOs are emerging with greater capabilities and affecting the development of Africa, and this volume explores the impact of such change. This edited volume honours the exemplary contribution of Professor William Darley to the creation and development of the Academy of African Business and Development (AABD). The book is intended for graduate students and researchers interested in business development and practices in Africa.

This edited volume focuses on innovative solutions to the debate on human thriving in the fast emerging technology-driven cyber-physical work context, also called Industry 4.0. The volume asks the important question: How can people remain relevant and thrive in workplaces that are increasingly virtual, technology-driven, and imbued with artificial intelligence? This volume includes two major streams of discussion: it provides multidisciplinary perspectives on what thriving could mean for individuals, managers and organisations in current and future non-linear and Web-driven workspaces. In this context, it points to the need to rethink the curricula of the psychology of human thriving so that it is applicable to Industry 4.0. Second, it discusses the new platforms of learning opening up in organisations and the ways and means with which people's learning practices can be adapted to changing scenarios. Some of these scenarios are: changing job designs and talent requirements; the demand for creativity; the need for virtual teams and intercultural collaborations; and changing emotional competencies. This topical volume includes contributions by scholars from across the world, and is of interest to scholars, practitioners and postgraduate students of psychology, organizational behaviour and human resource management.

Technology management education and business education are visibly intertwined in the current educational system. Certain efforts that have taken place in the recent past are the interinstitutional discourse around the world. Technology management is a dynamic and evolving profession, driven by changes in technology, globalization, sustainability, and the increasing importance of the service economy. The Handbook of Research on Future Opportunities for Technology Management Education is a comprehensive reference book that enables readers to comprehend the trends in technological changes and the need to orient business education and technology management in workplaces. The book serves to support with the formation and implementation of appropriate policies for technology management. Covering topics such as big data analytics, cloud computing adoption, and massive open online courses (MOOCs), this text is an essential resource for managers, technologists, teachers, executives, instructional designers, libraries, university researchers, students, faculty, and industry taught leaders.

This book draws on recent debate surrounding the emergence of cognitive intelligence in organizations, exploring the redefinition of the labor market and consequently, employment. With a particular focus on Human Resource Management (HRM), the authors analyse the socio-cultural transformation of traditional practices and methodologies that are ocurring in the workforce. Digital HR presents detailed case studies and interviews with HR managers of large multinational companies, providing comprehensive empirical evidence for academics and students interested in the development of HRM in today’s digital landscape. The book will also be valuable to practitioners and managers looking to adapt the role of HR in their own companies or organizations.

During the last decades, a considerable amount of research has been directed towards explaining the concept of Digital Human Resource Management (DHRM). Yet, a holistic assessment of DHRM antecedents and consequences with respect to possible contextual contingencies is still missing. To this end, this thesis introduces a research framework illuminating the multifaceted phenomenon of DHRM from various perspectives. An exploratory four-step meta-analytic structural equation modelling (E-MASEM) approach tailored to address the domain-specific challenges of DHRM is introduced and applied. Results identify 32 constructs associated with the DHRM usage phenomenon which are categorized into DHRM antecedents and DHRM consequences. Findings reveal that user perceptions, expectations, attitudes, and intentions are essential in predicting DHRM usage while HRM service quality and user satisfaction are found crucial in explaining other DHRM consequences. Further, practitioners are informed about the relative importance of factors for both facilitating DHRM adoption and measuring DHRM success. Lastly, this thesis also contributes to the MASEM methodology by outlining a new approach to summarize statistical inferences from multiple moderator tests.