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The purpose of this paper is to examine the antecedents (psychological contract and perceived reasons for change) and consequences (work behaviors and well-being) of employees’ commitment to organizational change.

The authors developed a conceptual model of the antecedents and consequences of commitment to organizational change. In Study 1, based on interviews, the authors developed an instrument to measure the construct “reasons for change.” In Study 2, the authors collected questionnaire data from 228 employees of a Chinese telecom company undergoing organizational changes and tested the conceptual model using structural equation modeling.

The results showed that the strength of a relational contract (one form of psychological contract) was positively related to normative commitment to change and negatively related to continuance commitment to change. External reasons for change were positively related to affective and normative commitment to change, whereas internal reasons for change were negatively related to affective commitment to change and positively related to continuance commitment to change. Affective commitment was negatively related to exit and aggressive voice. Continuance commitment was positively related to emotional exhaustion, and normative commitment was negatively related to emotional exhaustion.

The single-source cross-sectional design limits the robustness of the conclusions drawn from the findings. Two promising avenues were opened for further research: the interaction of employees’ commitment to change at different levels and the process of social construction of perceived reasons for change.

To facilitate employee commitment to change, organizations should cultivate relational contracts with their employees and attend to the “framing effects” of employees’ perceptions of reasons for change.

This study contributes to the understanding of the relationship between employer-employee relations and employee well-being in Chinese society. It suggests that healthy employer-employee relations are beneficial for employee well-being. Moreover, Chinese firms should pay more attention to the changes occurring inside and outside their organizations, which are related to the psychological health of their employees.

The study highlights the importance of relational contracts between an organization and its employees during organizational change process. Moreover, it is among the first to examine the relationship between employees’ perceived reasons for change and their commitment to change.

This study examined the relationships between perceptions of supervisor power and subordinate work attitudes. Results showed that perceived legitimate power and coercive power of the supervisor were major predictors of subordinate stress, while perceived legitimate power and reward power were important predictors of employee motivation. Further, perceived coercive, reward and legitimate powers were all significant predictors of subordinate commitment. Also, perceived coercive power was negatively associated with subordinate satisfaction, while expert and referent powers were positively related to satisfaction. Implications for future research and practising managers are discussed.

The purpose of this paper is to present Part II of an interview with Dr Anne Tsui, Motorola Professor of International Management. Part I – the scholarly journey, was published in JCHRM Vol. 2 No. 2, 2011. This part of the interview focuses on the following issues: how Dr Anne Tsui has developed her interest and passion in Chinese management research over the years; how Dr Tsui has contributed to the management field; what researchers should do in order to conduct quality management research in China; and what Dr Tsui has envisioned for the future opportunities and challenges of Chinese management research.

The paper reports a recent interview with Dr Anne Tsui, Motorola Professor of International Management at Arizona State University.

Anyone who is interested in quality management research in China should choose interesting topics that are relevant to the Chinese local context and grounded in local phenomena. Qualitative research method and cross‐cultural collaborations are highly recommended for Chinese researchers.

The interview shows the direction of the development of Chinese management research and provides practical advice to researchers in this field on how to conduct quality research in the Chinese context.

The paper presents a real‐world role model for junior scholars in management research.

Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.

Data analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.

The results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.

The study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.

Current literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

The purpose of this paper is to explore flow as an underlying mechanism linking psychological ownership (PO) and subjective happiness and identify how flow affects employees’ subjective happiness.

Two separate samples were used. Sample 1 examined the responses of 120 female spa workers. Sample 2 examined the responses of 334 male logistics technicians. Data were collected through paper-based questionnaires across two time points.

PO was positively related to employees’ subjective happiness across both samples. Furthermore, PO has distinct impacts on employees’ subjective happiness through two distinct measures of flow: immersion and mastery. The authors found that immersion fully mediates the relationship between PO and employee subjective happiness in Sample 1, and mastery in Sample 2.

This is one of the first empirical studies to examine whether and how PO increases employees’ subjective happiness. The results contribute to the literature by providing a theoretical rationale for and an empirical analysis of a model wherein flow mediates the linkage between employees’ feelings of PO and their subjective happiness.

Due to social transformation in China, more than 100,000,000 people are migrating within the country. Many parents are forced to leave their children behind when they migrate. In 2008, 58,000,000 children were living as left‐behind children, mainly in the rural parts of China (Zhang, 2009).Migration and its accompanying stressors may affect the mental health of the left‐behind children. This unique literature review of Chinese literature summarises the present state of knowledge and reviews the influential factors. Possible approaches to intervention and system reforms are discussed.A literature review was performed of published studies between 2001 and 2008. Databases used were Fujian Medical University Library Interface, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Information. The Chinese word for ‘left‐behind’ was used as a key word. Books, book chapters, monographs and studies on caring were searched electronically and by hand. Altogether, 53 items were found, discussed and grouped together. Migration affected the mental health of the left‐behind children in a passive way, especially their emotions and social behaviour.There is still controversy over how serious mental health problems are among children who have been left behind. Life events, personality, coping strategies and social suppor t can be regarded as four main factors that are predictive of mental health, which provides theoretical guidance for intervention. Suppor t and prevention of mental health problems in schools, in families and in primary care should be developed and studied.

The main purpose of this study is to investigate the effects of flexibility-oriented human resource management (FHRM) systems on intellectual capital and organizational resilience. This study also examines the moderating effect of digital capability on the relationship between intellectual capital and organizational resilience.

Data were collected from 219 Chinese businesses in the Yangtze River Delta region of China during the COVID-19 pandemic. Confirmatory factor analysis was used to verify the validity and reliability of the measurements, and hypotheses were tested using hierarchical regression.

The empirical results show that FHRM systems are positively correlated with intellectual capital and organizational resilience. Intellectual capital mediates the link between FHRM systems and organizational resilience. Moreover, digital capability serves as a positive moderator between intellectual capital and organizational resilience.

From the perspectives of resilience theory, the resource-based view and the theory of dynamic capabilities, this study is among the first to identify the process mechanism by which FHRM systems affect organizational resilience through intellectual capital. Digital capability is introduced as a situational factor for understanding the effect of intellectual capital on organizational resilience, which provides new insights for further research.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

When integrating smart elements offered by emergent technologies, libraries are facing the challenges of technological renovation and maintaining their operation using emerging technology. Given the importance of smart library, new technologies are needed in building new libraries or renovation of existing libraries. The purpose of this paper is to propose a risk warning system for library construction or renovation in the aspect of risk management.

The proposed Internet of Things (IoT)-based system consists of sensors that automatically monitor the status of materials, equipment and construction activities in real time. AI techniques including case-based reasoning and fuzzy sets are applied.

The proposed system can easily track material flow and visualize construction processes. The experiment shows that the proposed system can effectively detect, monitor and manage risks in construction projects including library construction.

Compared with existing risk warning systems, the proposed IoT-based system requires less data for making dynamic predictions. The proposed system can be applied to new builds and renovation of libraries.