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This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

This study examines the adoption of information and communication technologies (ICT) for e-recruitment and its impacts on public value outcomes.

A survey was conducted with 213 public sector employees in the federal civil service using a questionnaire to test a conceptual model integrating the Technology Acceptance Model, Media Richness Theory and Public Value Theory using PLS-SEM analysis.

Results validate significant positive relationships between ICT adoption, social media use for e-recruitment and public value creation. Internet self-efficacy positively moderates public value outcomes.

While this study makes valuable contributions, avenues remain to further expand generalizability, strengthen validity and incorporate additional institutional factors in the framework.

The study provides insights to guide policies and interventions aimed at improving ICT adoption success and public value gains from e-government investments in developing countries.

The research makes key contributions by operationalizing and empirically assessing the public value impacts of e-government innovations and examining adoption issues in an understudied developing country context.

The workforce management model conceptualised for the effective management of the construction workforce was subjected to expert scrutiny to determine the suitability and applicability of the identified practices and their attributed variables to the construction industry. In achieving this, a Delphi approach was adopted using experts from construction organisations in South Africa. These experts comprised workforce management personnel and construction professionals in senior management positions. The data were analysed using appropriate statistical tools such as interquartile deviation, Kendell’s coefficient of concordance, and chi square to determine consensus among these experts. After a two-round Delphi, the seven constructs proposed in the conceptualised workforce management model were adjudged to be important and worthy of adoption by construction organisations seeking to improve workforce management in the current fourth industrial revolution era.

This study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving development in the field of human resources (HR) at the strategic and managerial level.

A systematic literature review (SLR) was conducted using the Scopus database, which gathered 61 articles between 2002 and 2022. The SLR process has the potential to, in addition to generating knowledge and theories, support and guide policy development and practice in many disciplines.

The results of this study allowed the author to identify three main conclusions: (a) there are four thematic clusters – (i) Strategic HR and AI, (ii) Recruitment and AI, (iii) Training and AI and (iv) Future of work; (b) there is a growing academic interest in studying the implementation of AI to develop the HR sector and (c) the application of AI stands out in the strategic HR and AI cluster as a means of achieving profit maximisation and the overall development of the organisation.

This study is the first SLR to present a strategic and managerial view on AI applications associated with specific HRM dimensions. The study is also the first SLR to identify key trends in the literature, drivers and obstacles to the development of AI in HRM and then place them within the landscape of positive and negative approaches in a framework. Also, as a contribution, the study has practical implications for HR managers and practitioners in adopting AI as a decision support in the area's processes.

The purpose of our study was two-fold: (1) to examine the effect of perceived value derived from perceived benefits and sacrifices in the adoption of artificial intelligence (AI) in talent acquisition and (2) to investigate the moderating role of human resource (HR) readiness in the association between perceived value and AI adoption intention.

A structured questionnaire was administered to 198 talent acquisition executives and HR professionals of Indian IT companies based on a purposive sampling technique. Partial least squares structural equation modeling (PLS-SEM) was used on the Smart PLS 2.0 platform to analyse the data and test the model.

Results revealed that perceived benefits and sacrifices significantly predict perceived value which significantly affects the HR professional’s AI adoption intention. The study further found that HR readiness moderates the link between perceived value and the intention of HR professionals to adopt AI in the talent acquisition process in the Indian IT industry.

IT companies are advised to continuously monitor and evaluate the performance of AI tools to ensure that they are meeting the recruitment process needs to leverage AI’s benefits in talent acquisition. This study seeks to provide the impetus for a planned AI adoption in talent acquisition.

This research provides ample evidence for the existing technology adoption theories. It explored the predictors of adoption by validating the value-based adoption model in the Indian context. It provides valuable insights into the practice of acquiring talents in the IT sector using artificial intelligence.

This paper aims to explore perceptions and provides insights, from students who volunteer in policing whilst also studying the college of policing licenced professional policing degree (PPD) in Wales. It examines issues that act as enablers and blockers to volunteering in this public service, which also provides opportunities to develop their employability towards the careers to which they aspire. The paper provides insights from students and makes recommendations of interest to multiple stakeholders locally, regionally, nationally and internationally regarding attracting and recruiting volunteers.

Focus groups were conducted with students at three separate universities in the South and West of Wales. These undergraduate students were volunteers in different police forces and agreed to take part in connection with their experiences. The results were analysed using NVivo to establish commonalities.

The paper provides empirical insights concerning the issues surrounding the way those undergoing the process for recruitment as volunteers within policing are either hindered (blocked) or assisted (enabled). It identifies specific problematic areas as well as areas which have been of assistance. Policy makers, educators and recruiters should be aware of such blockers and enablers when considering adopting volunteering as an opportunity to enhance student employability. It also has resonance for other forms of volunteering in alternate public services.

This research is limited to those volunteers who are undertaking the licenced PPD at three separate universities in Wales. Although the research adds to the broader evidence-base with regards to volunteering and its use to enhance employability.

The paper includes practical implications for multiple stakeholders including university programme educators, administrators and decision makers in policing with regards to volunteering, employability, programme structures and process management.

The research is based upon the experiences and perceptions of those individuals who are actually engaged in volunteering.

Research with vulnerable groups is crucial to get their input into public policy design that will directly impact on them. However, there are many methodological and ethical challenges involved in encouraging participation from groups with a wide range of intellectual, cognitive and physical capacities while ensuring that the rights and well-being of participants are protected. Rather than exploring ethical theories, this chapter is a case study describing the practical ethical considerations that were involved in designing and holding a series of focus groups with adult health and social care service users from vulnerable cohorts. It is based on a series of focus groups which the Institute of Public Health (IPH) held with specified cohorts as part of a policy development process on adult safeguarding for the Department of Health (DOH) in Ireland. The four cohorts were people with intellectual disability, cognitive impairments, significant mental health challenges and nursing home residents. This chapter does not describe the findings of the focus groups but outlines the ethical and methodological considerations that arose in designing and conducting this research, and the practical ethical safeguards employed to mitigate risk and comply with Irish and EU General Data Protection Regulation (GDPR) legislation governing health research. It outlines the ethical issues around protecting confidentiality and using incentives to encourage participation, how individuals' capacity to give informed consent was maximized, the risk-assessment and mitigation procedures used to prevent harms arising and the measures put in place to provide follow-up emotional support to participants.

Universities globally have faced the introduction of research performance assessment systems that provide monetary and ranking rewards based on publication outputs. This study aims to seek an understanding of the implementation of performance-based research funding (PBRF) and its impact on the heads of departments (HoDs) and accounting academics in New Zealand (NZ) tertiary institutions. The study explores NZ accounting academics’ experiences and their workload; the relationship between teaching and research in the accounting discipline and any issues and concerns affecting new and emerging accounting researchers because of PBRF.

Applying an institutional theoretical lens, this paper explores accounting HoDs’ perceptions concerning the PBRF system’s impact on their academic staff. The research used semi-structured interviews to collect data from NZ’s eight universities.

The key findings posit that many institutional processes, some more coercive in nature, whereas others were normative and mimetic, have been put in place to ensure that academics are able to meet the PBRF requirements. HoDs suggest that their staff understand the importance of research, but that PBRF is a challenge to new and emerging researchers and pose threats to their recruitment. New academics must “hit the ground running” as they must demonstrate not only teaching abilities but also already have a track record of research publications; all in all, a daunting experience for new academics to overcome. There is also a teaching and research disconnect. Furthermore, many areas where improvements can be made in the design of this measurement tool remain.

The PBRF system has significantly impacted on accounting academics. Central university research systems were established that subsequently applied coercive institutional pressures onto line managers to ensure that their staff performed. This finding offers scope for future research to explore a better PBRF that measures and rewards research productivity but without the current system’s unintended negative consequences.

The purpose of this study is to explore the association between select human resource management practices and employee performance in academic libraries in India.

The current study uses the quantitative method of research. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the results. The current study uses a cross-sectional approach by using a convenient sampling method. The sample size of the study was 163, which was adequate for conducting PLS-SEM analysis.

The study found a significant positive correlation between human resource management practices and employee performance in academic libraries. This suggests that the implementation of effective human resource management practices has a beneficial impact on various aspects of employee performance.

The study’s cross-sectional design may limit the ability to establish causality or determine the direction of the relationship between human resource management practices and employee performance. The study may have limitations regarding the sample size and its representativeness. If the sample is small or limited to specific academic libraries in India, it may not be possible to generalise the findings to a broader population of academic libraries in the country or to libraries in other regions or countries.

The study has practical implications for academic libraries in India. By recognising the significant correlation between human resource management practices and employee performance, libraries can prioritise the implementation of effective human resource management strategies. This includes aligning human resources practices with organisational goals, focusing on employee development and engagement and adopting best practices in recruitment, training and performance management.

This study can have broader social implications by promoting a supportive and productive work culture that positively impacts the academic library community.

The paper focuses on a quite important and largely unexplored area of human resource management within the academic libraries sector.

Drawing on the social information processing theory, this study aims to adopt a moderated mediation model to investigate the mediation role of cognitive crafting and the moderation role of regulatory focus in the relationship between perceived deviance tolerance and employee innovative behavior.

A questionnaire study with 181 employees from a state-owned communications technology company in China was conducted through a two-wave survey, with a one-month lagged design. The model is tested through confirmatory factor analysis, correlation analysis and PROCESS bootstrapping program in SPSS24.0 and AMOS22.0 software.

This study confirms that perceived deviance tolerance is positively related to innovative behavior, while cognitive crafting mediates the relationship between perceived deviance tolerance and innovative behavior. Furthermore, the promotion focus positively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher promotion focus enhances the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior. The prevention focus negatively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher prevention focus weakens the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior.

Organizations need to establish a tolerant and inclusive management system and create a harmonious working atmosphere to provide a platform basis to inspire the innovative behavior of employees. Also, regulatory focus variables are suggested to be considered in organizational human resource management processes (e.g. recruitment and training) to improve organizational person–job fit.

The primary contribution of this study is to confirm that perceived deviance tolerance has a positive impact on innovation behavior and thereby providing a new perspective to understand the impact effect of perceived deviance tolerance. Another contribution the study explores the mechanisms and boundary conditions of perceived deviance tolerance on innovative behavior fills the theoretical gap of perceived deviance tolerance.