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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Wonders whether companies actually have employees best interests at heart across physical, mental and spiritual spheres. Posits that most organizations ignore their workforce – not even, in many cases, describing workers as assets! Describes many studies to back up this claim in theis work based on the 2002 Employment Research Unit Annual Conference, in Cardiff, Wales.

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

The study of international business has become increasingly important in recent years. So important that the American Assembly of the Collegiate Schools of Business (AACSB) has called for the internationalisation of business curricula. In 1992 and beyond, successful business people will treat the entire world as their domain. No one country can operate in an economic vacuum. Any economic measures taken by one country can affect the global economy. This book is designed to challenge the reader to develop a global perspective of international business. Globalisation is by no means a new concept, but there are many new factors that have contributed to its recently accelerated growth. Among them, the new technologies in communication and transport that have resulted in major expansions of international trade and investment. In the future, the world market will become predominant. There are bound to be big changes in the world economy. For instance the changes in Eastern Europe and the European Community during the 1990s. With a strong knowledge base in international business, future managers will be better prepared for the new world market. This book introduces its readers to the exciting and rewarding field of international management and international corporations. It is written in contemporary, easy‐to‐understand language, avoiding abstract terminology; and is organised into five sections, each of which includes a number of chapters that cover a subject involving activities that cross national boundaries.

The paper seeks to analyze in depth the organizational requirements for the exploitation of human resource management towards increased organizational performance, and to provide a conceptual framework for the analysis of human resource management in learning organizations.

The paper takes the form of an extensive literature review on human resource management (HRM), organizational learning and human capital.

The major contribution is the Requirements Framework for the Adoption of Technology Enhanced Learning and Semantic Web Technologies, which can guide strategies of effective competencies management in modern organizations. This framework initiates an interesting discussion of technological issues that go beyond the scope of this paper.

The Requirements Framework provides the basis for an extensive specification of knowledge management strategies. A follow‐up publication will present the practical implications of the “theoretical” abstraction of framework and empirical evidence.

The paper is a very useful source of information and impartial advice for strategists, HRM managers, knowledge management officers and people interesting in exploiting human resource management systems in a knowledge‐intensive organization.

This paper fulfills an identified need to outline methods and technologies for integrated knowledge and learning and competencies management support in organizations.

This article presents a cognitive framework to study dynamic/adaptive aspects of a collection of popular fit measures used in organisation research, in an attempt to highlight what there is to be gained.

This paper uses a distributed e-cognition (DEC) framework to examine the current organisational literature of fit measures.

This paper highlights that most measures have a rather narrow focus and do not address dynamic/adaptive aspects in complex social systems (e.g. organisations). To both provide a way to integrate fit measures and cover the cognition gap in this literature, this article highlights the need for a more sophisticated measure.

This paper provides a novel approach to examining organisational fit literature through a distributed (e)-cognitive framework.

This article overviews some key contributions to service research from the organizational behavior/human resource management (OB/HRM) discipline with its strong focus on the role of employees. This focus complements the Marketing discipline’s heavy emphasis on customers, largely true of service research, overall.

Ten OB/HRM frameworks/perspectives are applied to analyzing the roles of people (with a focus on employees and modest consideration of customers as “partial” employees who co-create value) in a service organization context. Also, commentary is offered on how the frameworks relate to six key themes in contemporary service research and/or practice. The article concludes with five reflections on the role and status of employees in service research—past, present and future.

Employee roles in evolving service contexts; participation role readiness of both employees and customers; role stress in participating customers; an employee “empowered state of mind”; an emphasis on internal service quality; “strong” HRM systems link individual HRM practices to firm performance; service-profit chain with links to well-being of employees and customers; a sociotechnical system theory lens on organizational frontlines (OF); service climate as an exemplar of interdisciplinary research; emotional labor in both employees and customers; the Human Experience (HX); specification of employee experience (EX).

Service remains very much about people who still guide organizational design, develop service strategy, place new service technologies and even still serve customers. Also, a people and organization-based competitive advantage is tough to copy, thus possessing sustainability, unlike with imitable technology.

Drawing upon the career construction theory, the present study aims to propose and test a mediation model exploring the association among technology readiness, adoption of human resource (HR) analytics by HR professionals, and organizational career growth.

A survey has been conducted to collect data from HR professionals (N = 347) working in various industrial sectors in India. The data collected is analyzed for mediation using SPSS PROCESS Macro (Model 4).

The study provided evidence about the mediating role of individual adoption of HR analytics between technology readiness (motivators, inhibitors) and organization career growth (career goal progress, professional ability development, promotion speed and remuneration growth).

Firstly, the results provide evidence in relation to the career construction theory with respect to adoption of human resource analytics by HR professionals. Secondly, the study findings validate the technology readiness model in the context of adopting HR analytics. Thirdly and most significantly, the study proposes a novel theoretical framework for adoption of HR analytics by HR professionals in organizations.

The findings imply that HR professionals' technology readiness (motivators and inhibitors) can facilitate better adoption of HR analytics in organizations. Moreover, the adoption of HR analytics shall promote better career growth for HR professionals.

The present study builds and tests a theoretical framework based on technology readiness, individual adoption of HR analytics, and organization career growth. The study is the first of its kind to the best of the authors' knowledge.

Artificial intelligence (AI) applications’ usage in Chief Officers’ (CXOs’) decision-making is a topic of current research interest. A fundamental dilemma is carefully planning an effective combination of a CXO’s professional experiences and AI applications’ decision-making responsibility. However, the existing literature fails to specify the value of co-creation of AI applications and the human experience in managerial decision-making. To address this gap in the literature, the authors’ examine how an ideal cognitive-technology fit can be created between human experiences and AI-based solutions at CXO-level decision-making using the theoretical lens of the Service-Dominant Logic.

The authors’ employed a grounded theory approach and conducted a focus group discussion with seven participants to shed light on the factors that may balance AI applications’ usage and CXOs’ experience in making business decisions. This was followed by 21 in-depth interviews with employees from knowledge-intensive professional service firms to validate the findings further of a new phenomenon. Further, given the newness of the phenomenon, this approach allowed researchers a retrospective and real-time understanding of interviewees’ experiences of the phenomenon under consideration.

The advantages and constraints of both CXOs’ experiences and AI applications deserve due consideration for successfully implementing technology in knowledge-intensive professional service organizations.

This study may appeal to researchers and practitioners interested in the future of decision-making, as the authors’ study findings advocate for balancing CXO’s expertise and the use of AI in decision-making.

Based on the preliminary findings, the authors developed a theoretical framework to understand the factors that govern AI implementation in an organization and how a competitive strategy may emerge from value co-created by AI applications and CXOs’ experience, particularly in knowledge-intensive professional service firms.