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Drawing upon theories of conservation of resources (COR), broaden-and-build (BnB), self-determination, and the job demands- resources (JD-R) model, this study uniquely tries to understand the mechanisms that contribute to happiness at work by proposing a model of the effects of emotional culture of joy on happiness at work, where psychological safety and relational attachments serve as intervening mechanisms among the aforesaid relationship.

A three-wave time-lagged study with 340 employees from Pakistani organizations was conducted. Data were analyzed using covariance-based structural equation modelling.

The results indicate that emotional culture of joy significantly predicts happiness at work. Furthermore, emotional culture of joy significantly and positively influences both psychological safety and relational attachment. Finally, the relationship between emotional culture of joy and happiness at work is found to be mediated by both relational attachment and psychological safety.

The results are of utmost importance as they provide insights to policy makers and organizations administrators on the value of emotional culture of joy and its contribution to employees’ wellbeing, and indeed its role in fostering important psychological and emotional resources such as psychological safety and relational attachment.

This study is unique for the following reasons. First, it addresses and bridges a gap pertaining to the drivers of happiness at work. Second, this is the first study that considers emotional culture of joy as an antecedent to happiness at work. Third, the employment of both psychological safety and relational attachment as intervening mechanisms in the relationship between emotional culture of joy and happiness at work has not been previously addressed in the management and wellbeing literature. Finally, the study shifts direction from studying organizational drivers (i.e. HR, organization support, etc.) of happiness at work to the examination of psychological and emotional resources that may influence happiness at work.

This paper aims to propose a user adoption model of human resource information system (HRIS) in the Jordanian public sector by integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT).

Using a quantitative approach, survey data were collected using an online survey from employees working in four different public organizations in Jordan, and structural equation modelling has been used to validate the research model.

The study found that among the constructs of the UTAUT model performance expectancy, social influence and facilitating condition have a significant effect on users’ behavioural intention to adopt HRIS. Furthermore, the results also reveal that effort expectancy has an insignificant effect on adoption behaviour. The findings also show that all TTF hypotheses were supported by the data collected. Both task characteristics and technology characteristics have a significant effect on the TTF construct, which further determines users’ adoption behaviour.

These findings contribute to the extant academic literature and have practical implications, improving the understanding of the HRIS adoption and use in public sector organizations.

The purpose of this paper is to examine the relationship between knowledge-enhancing HR practices, intellectual capital and sustainable competitive advantage in knowledge-based firms.

A quantitative approach was used to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 320 managers in 157 firms were selected using convenience sampling. A structural equation model was employed for testing the hypotheses.

The study confirmed that knowledge-enhancing human resource (HR) practices established a very strong connection with intellectual capital. The results further disclosed a positive relationship between intellectual capital and firms' competitive advantage. A mediated relationship between knowledge-enhancing HR practices and firms' competitive advantage through intellectual capital was also affirmed.

The study was conducted in knowledge-based firms in Iran, which limits the generalizability of the research findings. Therefore, future studies should be carried out with samples from other contexts. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.

The paper underscored the importance of intellectual capital in improving knowledge-enhancing HR practices and firms' competitive advantage. It suggests to human resource managers to make the organizational arrangements to design knowledge-enhancing HR practices, thereby developing the intellectual capital that brings competitive advantage to knowledge-based firms.

The results of this study contribute to advance research on the intellectual capital literature by trying to explain how intellectual capital as a mediator variable can influence the relationship between knowledge-enhancing HR practices and sustainable competitive advantage.

The metaverse, through artificial intelligence (AI) systems and capabilities, allows considerable data analysis in the workplace, largely exceeding traditional people analytics data collection. While concerns over surveillance and issues associated with privacy and discrimination have been raised, the metaverse has the potential to offer opportunities associated with fairer assessment of employee performance and enhancement of the employee experience, especially with respect to gender and race, inclusiveness and workplace equity. This paper aims at shedding light on the diversity, equity and inclusion (DEI) opportunities and challenges of implementing the metaverse in the workplace, and the role played by AI.

This paper draws on our past research on AI and the metaverse and provides insights addressed to human resources (HR) scholars and practitioners.

Our analysis of AI applications to the metaverse in the workplace sheds light on the ambivalent role of and potential trade-offs that may arise with this emerging technology. If used responsibly, the metaverse can enable positive changes concerning the future of work, which can promote DEI. Yet, the same technology can lead to negative DEI outcomes if implementations occur quickly, unsupervised and with a sole focus on efficiencies and productivity (i.e. collecting metrics, models etc.).

Managers and HR leaders should try to be first movers rather than followers when deciding if (or, better, when) to implement metaverse capabilities in their organizations. But how the metaverse is implemented will be strategic. This involves choices concerning the degree of invasive/pervasive monitoring (internal) as well as make or buy decisions concerning outsourcing AI capabilities.

Our paper is one among few (to date) that discusses AI capabilities in the metaverse at the intersection of the HR and information systems(IS) literature and that specifically tackles DEI issues. Also, we take a “balanced” approach when evaluating the metaverse from a DEI perspective. While most studies either demonize or celebrate these technologies from an ethical and DEI standpoint, we aim to highlight challenges and opportunities, with the goal to guide scholars and practitioners towards a responsible use of the metaverse in organizations.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The purpose of this study is to extend the findings from a very limited number of studies that have focused on the potential antecedents of firm diversity. Specifically, the authors examined the extent to which a set of firm-level diversity management initiatives, which included diversity, equity and inclusion (DE&I) policies and oversight structures, senior leader values and utility perceptions about DE&I and DE&I dissemination strategies, may be related to firm-level reported diversity – overall, and that which is specific to gender, ethnicity, race and disability.

The data for this study were gathered from a national sample of 200 US restaurant and foodservice companies during the third quarter of 2021 by an independent data collection firm.

After controlling for firm size, age, ownership structure and chain affiliation, the results from a series of regression analyses showed that formal diversity management policies and procedures (e.g. policies beyond those legally mandated), structural oversight of diversity management initiatives (e.g. designated diversity leader) and beliefs among senior leaders regarding the utility of diversity management initiatives, were positively related to firm-level diversity. There were also several notable differences in the significance of the findings across the four diversity groups, indicating support for a contingency explanation.

There are two unique contributions to this study. First, by considering a more support-based (vs compliance and control) approach to managing DE&I that is authenticated by senior leadership’s beliefs about the utility of DE&I, the findings advance the understanding of the nature and scope of diversity management initiatives that may influence firm-level diversity – in general, as well as that which may be specific to restaurant and foodservice settings. Additionally, the findings offer industry-specific insights regarding the extent and relevance of DE&I policies and practices that have been adopted by restaurants and foodservice organizations and prescriptive guidance for future inquiry on this topic.

The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active research areas and establish a roadmap for future studies in HR analytics.

A portfolio of 503 articles collected from the Scopus database was reviewed. The study has adopted a Latent Dirichlet allocation (LDA) topic modeling approach to identify significant themes in the literature.

The HR analytics research domain is classified into four categories: HR functions, statistical techniques, organizational outcomes and employee characteristics. The study has also developed a framework for organizations adopting HR analytics. Linking HR with blockchain technology, explainable artificial intelligence and Metaverse are the areas identified for future researchers.

The framework will assist practitioners in identifying statistical techniques for optimizing various HR functions. The paper discovers that by implementing HR analytics, HR managers and business partners can run reports, make dashboards and visualizations and make evidence-based decision-making.

The previous studies have not applied any machine learning techniques to identify the topics in the extant literature. The paper has applied machine learning tools, making the review more robust and providing an exhaustive understanding of the domain.

Effective green supply chain management (GSCM) has become a potentially valuable tool of securing competitive advantage and improving operational performance (OP) as competition is no longer exists between the firms but within green supply chains. The aim of this empirical study is to determine the link between GSCM practices (GSCMPs) and OP within the manufacturing sector of Bangladesh mediated by perceived competitive advantage (PCA). GSCMPs were divided into three further dimensions: green eco-design (GED), green supply chain partnering (GSCP) and internal green orientation (IGO).

The study selected 376 individuals as respondents who work as the top-level managers and the members of the Board of Directors at different Bangladeshi manufacturing firms through purposive sampling. A partial least square-based structural equation modeling (PLS-SEM) was utilized to identify the relationships between the three dimensions of, GSCMPs, and the single dependent variable, OP.

The study identified that two factors, GED and GSCP, have significant positive relationships with OP. On the other hand, another factor, IGO has a statistically insignificant relationship with OP. Regarding the mediating effects, the study identified that PCA can fully mediate the insignificant relationship between IGO and OP, and partially mediate the significant relationship between GSCP and OP. On the contrary, PCA has no mediating effect on the relationship between GED and OP.

This empirical study is an effort that examined the role of GSCMPs on the OP in the Bangladeshi manufacturing context. It is believed that this empirical investigation will prompt future theoretical studies and empirical experiments to enrich academia. Further, the findings of this study can serve as foundational guidance for policymakers and/or managers studying the formulation and implementation of GSCMP-related policies and strategies.

This study aims to identify the enablers of human resource (HR) digitalization and HR analytics. This paper also aims to build a relationship map using interpretive structural modeling.

A systematic literature review is used to identify the key enablers of HR digitalization and HR analytics. Ten expert opinions have been taken from the key officials of IT firms located in New Delhi North Central Region.

This study is focused on the enablers of HR analytics. It is found that change management (CM) in the organization is the key enabler of implementing HR digitalization and analytics in an organization. However, other elements like learning culture, training and development, E-learning management and HR transformation (HRT) play a vital role in implementing HR analytics. It is also found that implementing artificial intelligence for HR practices is the ultimate goal for every organization.

Management teams in IT firms should focus on the continuous learning process in the organization. The CM should be expedited for digitalization and adoption of HR analytics. Managers must go through the ramification of HRT, which possesses diligence in HR analytics and artificial intelligence.

This study explicitly talks about the enablers of HR digitalization and HR analytics. It also explores the relationship between the enablers. This study also describes the driving and dependence power of all the enablers.

The purpose of this paper is to examine the role of human resources (HR) leaders in disaster preparedness and response efforts of organizations. The study used Bronfenbrenner's Ecological Systems Theory as anchor and was conducted in the Philippines – a country that regularly experiences disruptions due to disasters.

The study utilized a phenomenological approach in gathering and analyzing data from semi-structured interviews with 16 HR leaders. They hold either an executive or managerial position and belong to organizations situated in areas that have experienced disasters within the past two years. The areas are likewise prone to further experience of disasters such as flooding, earthquake and volcanic eruption as identified by international disaster watch organizations.

Results surfaced three superordinate themes that reflect the role of HR in disaster situations – (1) contributor to the business continuity plan formulation and implementation; (2) in-charge of building a disaster-resilient culture; and (3) primary unit that takes care of employee wellbeing and welfare during and post-disaster.

The study identified factors that can help HR in fulfilling its role of surfacing and addressing employee needs amidst disasters.

The study expands literature on strategic human resource management by describing the positioning of HR in disaster preparedness and response efforts of organizations and illustrates how HR puts focus on the human side of organizational crises management.