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To develop more sensitivity for different patterns of human resource management in multinational companies.

Systemic approach; the concepts and models are based on the evaluation of consulting projects in the field of human resource management.

A concept of four typical varieties of human resource management, a model and important aspects for designing the cooperation processes between human resource departments and company management in multinational companies.

This paper provides a complex mindset about human resource management in a multinational context, which is a prerequisite for designing constructive cooperation processes between human resource departments and company management and for increasing the effectiveness of human resource activities.

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.

Over decades, indigenous management practices and their values in Africa have changed from time to time. However, it continued to remain relevant in most business organisations in developing countries. Today in Africa and across the globe, there is a paradigm shift and stiff competition in human resource management practices as a basic element for effective and efficient business organisations’ performance. Effective human resource management practices and performance of organisations rely on the integration of indigenous management practices and sound strategies aligned to cultural values and cores business objectives. The study covers four regions of Africa as a continent. Empirical teachings of the study form a basis for active reforms and innovations, so as to revamp the use of indigenous knowledge, which was deliberately destroyed by colonial masters. Over the years, human resource management practice has evolved in favour of Western strategies and ideologies. Advocates for curriculum reforms in all African countries so as to incorporate indigenous knowledge content, since it is believed to be the future of Africa. An appropriate employees management practice in Africa is a necessary move in today’s business community as it enhances service delivery and performance. The application of indigenous management practices is believed to play a vital role and invokes effective decision-making practices in the business organisation. Therefore, the chapter traces the origin of indigenous wisdom and its fundamental structure in management practices. This chapter attempts to throw light on indigenous management practices and their values in business organisations in Africa.

The main purpose of this research is to support corporate Human Management, based on the notion of subject and subjectivity in relation to Foucault's proposal of self-care, as a search for overcoming the disjunction that exists today between economic organisations and the people who make them up.

This study aims at creating a proposal based on Foucault's theory of self-care through which the care of others is salvaged for human management, from the perspective of the philosophical intention to make life a “work of art”. To such end, a qualitative methodology was used based on the hermeneutics that served as the methodology to review Foucault's work. Subsequently, research was conducted on scientific data, and the following variables were analysed: Subject, Subjectivity and Self-care by means of a cross-reference search with the human management and organisation variables. This provides meaning and interpretation to reality, from the idea of constructing subjectivity in turn from an ethical–aesthetic resistance.

The ethical concern that gave rise to this study is based on the characteristics of economic rationality, which is imposed on business organisations and affects not only the behaviour of people but also the interventions or interpretations about other. Thus, Foucault's self-care becomes a possibility not only to take care of oneself but also, in terms of the main goal of human management, to take care of others.

From this research, it is possible to break the excluding paradigm traced from the various theoretical positions of the subject present in the vision of human management, for an inclusive vision, which, without ignoring the economic objective established by the organisations, allows approaching the subject from the pragmatic point of view alone. As can be seen in the course of this article, it was intended, from hermeneutics as a possibility and search for meaning, to approach Human Management from a critical viewpoint accompanied by Foucault, who allowed to approach the notion of subject and subjectivity from the care of oneself, with the intention of proposing an ethical stance towards the subject working in the company, as a way to see oneself and to look at others. In this sense, the impact of the research is placed, from this perspective, in the teaching and practice of Human Management as an area of productive organisations.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

The purpose of this study is to explore the mechanism of digitalized transformation in organizations’ human resource management (HRM). This study summarizes three basic factors driving the digital transformation process in China: level of perception, level of application and speed of transformation.

This study analyzes the strategic transformation process of HRM in Haier, Hisense and Chambroad to explore the human resource digital transformation mechanism in Chinese enterprises.

The results of this study show that three HR value chain models can be constructed based on how well HRM deals with business: the efficiency-oriented HRM value chain, quasi-business-oriented HRM value chain and business-oriented HRM value chain. The basic factors – level of perception, level of application and speed of transformation – are observed in the entire HRM digital transformation process.

This study provides theoretical and empirical insights for enterprises to explore the value of digital technology in HRM and facilitate the digital transformation of HRM.

Sudden crises, known as environmental jolts, can cripple unprepared organizations. In recent years, financial jolts have led many organizations, particularly government organizations, to respond by furloughing employees. Furloughs can engender various responses in employees that can lead to negative work outcomes for both the employees and the organization. Previous research shows that the implementation of strategic human resource management (SHRM) practices, such as commitment-based systems, can mitigate the negative effects of environmental jolts. Utilizing the knowledge-based view and affective events theory, we propose a multilevel model where SHRM practices moderate employee affective responses to furloughs, which, in turn, drive subsequent employee behavioral outcomes.

Introduction: Artificial intelligence (AI) is being extensively used to solve complex problems in the industry. AI provides several benefits such as providing visibility in the processes, reducing time, improving accuracy, saving time, helping in the decision-making process, etc. Due to the range of benefits of AI technologies, organisations readily adopt this technology. However, there are several challenges that the organisation faces during the implementation of AI. These challenges are in context to human resource (HR) development for successful implementation of AI across different functions and are discussed in this chapter.

Purpose: Although we know that AI technology is widely accepted in human resource management (HRM) due to its various benefits. But the organisations face many challenges during the implementation of AI. The focus of the study is to explore the literature on AI in HRM, identify the challenges of implementing AI and provide potential future research direction based on a systematic literature review.

Methodology: To explore the literature on AI in HRM, the study undertakes a systematic literature review. The study identifies, analyse and classifies the literature to provide a holistic view of HR challenges in implementing AI. The study is built on a review of 47 documents, including the articles, book chapters and conference papers using the Scopus database for the past 10 years (2012–27 January 2022).

Findings: The study provides an overview of the documents published in Scopus in this area through a systematic literature review. The study reveals that a significant amount of growth in the publication has been shown in the past 10 years. The maximum and continuous growth is shown after 2017. The maximum number of papers are published in India, the USA and China. The study identifies major eight challenges of AI implementation in HRM. The study also provides a secondary case to deep dive in this area based on a systematic literature review.

Research Limitation/Implication: The challenges identified in the study are not empirically tested. Each of the identified challenges should be empirically examined. This study has expanded the body of knowledge of AI in HRM. This study will help the academicians and practitioners work on the identified challenges and help the organisations ease in adopting AI.

Originality/Value: This study represents the first work that integrates AI implementation challenges in HRM.

Human resource (HR) process research emerged as a response to questions about how (bundles of) HR practices related to organizational outcomes. The goal of HR process research is to explain variability in employee and organization outcomes by focusing on how HR practices are intended (adopted) by senior managers, the way that these HR practices are implemented and communicated by line managers, and how employees perceive, understand, and attribute these HR practices. In the first part of this chapter, we present a review of 20 years of HR process research from the start, to how it developed, and is now maturing. Within the body of HR process research, several different research theoretical streams have emerged, which are largely studied in isolation without benefiting from each other. Therefore, in the second part of this chapter, we draw on previous work to propose a staged process model in which we integrate the different research streams of HR process research, recognizing contingencies in the model. This leads us to an agenda for future research and practical implications in the final part of the chapter.