The Impact of Artificial Intelligence on Human Resource Practice

This study aims to explore the integration of artificial intelligence (AI) in human resource (HR) practices, focusing on its role in talent acquisition. By conducting a comprehensive literature review using a qualitative, library research method, this paper examines the current trends, challenges, and opportunities associated with AI adoption in HR, particularly recruitment. The findings highlight that AI has the potential to significantly improve recruitment efficiency, reduce biases, and enhance decision-making processes in HR. However, the study also reveals key ethical concerns related to algorithmic biases and transparency, which can negatively impact fairness in hiring practices. Furthermore, the research emphasizes the importance of upskilling HR professionals to effectively manage AI tools and integrate them into broader organizational strategies. The paper concludes by discussing the need for transparent, ethical AI systems and suggests that further research is necessary to evaluate the long-term effects of AI on HR practices and organizational culture. This study contributes to the ongoing discourse on AI in HR by providing insights into the implications of AI-driven recruitment and offering recommendations for future research in the field.

The rapid advancement of Artificial Intelligence (AI) is transforming workforce dynamics and reshaping Human Resource (HR) strategies, particularly in Quanzhou’s manufacturing industry. This study examines the impact of AI on workforce transformation, focusing on job automation, skill shifts, and HR management adaptation. Using a mixed-methods approach, data was collected through surveys and interviews with HR professionals and industry experts in Quanzhou’s manufacturing sector. The findings reveal that AI integration leads to increased efficiency and productivity but also necessitates workforce reskilling and redefined HR policies. While AI-driven automation streamlines repetitive tasks, it simultaneously creates demand for advanced technical skills and human-AI collaboration. HR departments are increasingly adopting AI-powered recruitment, performance evaluation, and employee engagement tools to optimize talent management. However, challenges such as job displacement, ethical concerns, and resistance to AI adoption persist. This study highlights the need for strategic workforce planning, continuous upskilling initiatives, and AI governance frameworks to ensure a balanced transition. The findings contribute to the growing discourse on AI-driven workforce transformation, providing practical insights for HR professionals and policymakers in the manufacturing sector.

This study aims to investigate the relationships between artificial intelligence in human resources (HR), technology competence, and HR system strength within organizations. Employing a cross-sectional methodology, survey data were collected from 272 employees working in HR departments in the private sector of Saudi Arabia. Partial least squares structural equation modeling was utilized for analysis to evaluate these relationships. The results indicate a significant positive relationship between artificial intelligence in HR and both technology competence (β = 0.444, p < 0.001) and HR system strength (β = 0.539, p < 0.001). Additionally, there is a positive impact of technology competence on HR system strength (β = 0.272, p = 0.021). These findings underscore the importance of investing in AI technologies and enhancing employees’ technological skills to improve HR system effectiveness. Furthermore, the study emphasizes the necessity for organizations to prioritize agility and adaptability in HR strategies while addressing ethical and social considerations surrounding AI in HR practices. Moreover, the study elucidates the role of artificial intelligence in fostering innovation and sustainability within HR practices, contributing to organizational resilience and competitiveness. AcknowledgmentThe author extends her appreciation to the Arab Open University for funding this work through Research Fund No. (AOUKSA-524008).

Human resource (HR) practices have been recognised as a key function in enhancing organisational productivity and competitive advantage. It has been noted that most studies that are based on the relationship between HR practices and performance indicators (e.g., service quality) in hotels hide an important element that tells hoteliers which factors to concentrate on in cases of poor performance. Our study aimed to examine the influence of HR practices on service quality in the Canadian hotel industry. This study seeks to investigate how HR practices (recruitment and selection, training, rewards and incentives, and internal career opportunities) help to improve the service quality. We used a qualitative method by establishing three sets of semi-structured interviews to obtain data from the top to the bottom of the hierarchy within hotels. We found that HR practices help in delivering high service quality. A key contribution of this study that it offers a workable definition of service quality and then a robust model for the relationship between HR practices and service quality that contributes to enhance knowledge of the causal relationship between them. In addition, our study contributes by identifying which HR practices a hotel could adopt to gain a service quality advantage in the marketplace. The data gathered for the proposed study may limit the findings' applicability to independent hotels that are not affiliated with international hotel chains. However, because of the low number of empirical research and the need to get a deeper knowledge of the link between HR practices and service quality, generalisation of the findings from the current descriptive-qualitative study is not a concern. Further research may include some control and context variables (e.g., hotel ownership type, position level, gender) that we did not include in this investigation. In addition, in the future, we recommend using mixed method (quantitative and qualitative) in order to come up with more generalisable results.

The fundamental thrust of this study is to examine the impact of three HR practices which are compensation practices, performance evaluation practices and promotion practices on perceived performance of psychiatry nurses in the mental hospitals in Ghana. Data was collected through a time tested questionnaire from 130 nurses from Ankaful and Accra Psychiatric hospitals in Ghana. Pearson correlation and multiple regression analyses were used to measure the impact of HR practices on the performance of nurses. The results of the correlation indicated a positive relationship between compensation practices and perceived employee performance at 0.05 level of significance. Again, the study revealed a positive correlation at 0.01 level of significance between performance evaluation practice, promotion practices, and employee perceived performance. Multiple regression analysis showed that 12% (R2=0.122) of the variance in perceived employees’ performance was accounted for by the three HR practices. The psychiatry section of the Ghana Health Service needs to pay special attention to these three HR practices in order to enhance the performance of nurses. Key words: Human Resource (HR) practices, employee performance, psychiatry nurses, developing country, Ghana.

For service businesses, a key goal is the consistent delivery of exceptionally high levels of service quality. A hospitality organisation that emphasises service in everything it says and does is more likely to achieve high levels of service quality, customer satisfaction and competitive advantage. This thesis applies a services management framework to the study of casinos. The research contributes to knowledge by examining the differential effects of employee interpretations of human resources (HR) practices on service climate and job-related attitudes. The research problem has three aspects. First, academics and practitioners need to better understand the internal dynamics that affect the development of an organisational climate for service. A positive service climate encourages desirable service-related behaviours. Second, although it is widely understood why human resource management (HRM) can contribute to positive organisational outcomes, it is not well understood exactly how HRM is connected with such desirable outcomes. In particular, this thesis explores the effect of the differential attributions that employees make regarding why their organisation has implemented its chosen set of HR practices. Third, research that addresses HR and service-related variables in the casino industry is lacking. Some evidence suggests that the casino industry has specific contextual characteristics that may set it apart from other industries in terms of organisational dynamics. The purpose of this thesis is to examine the impact of employee attributions regarding HR practices on perceptions of service climate and important work-related employee attitudes in the context of the casino industry. Further aims are to provide insight into the specific working conditions in the casino industry that have an impact on employee perceptions and attitudes, and to examine what causes these employees to make particular attributions regarding HR practices. The research questions to be addressed are: RQ1: What is the influence of employee attributions of HR practices on job satisfaction and organisational commitment? RQ2: How do employee perceptions of service climate explain the relationships between employee attributions of HR practices and job satisfaction and organisational commitment? RQ3: What are the salient features of the casino working environment that have an impact on employee HR attributions, perceptions of service climate, job satisfaction and organisational commitment? The study is premised on a post-positivist perspective, with a realist approach to knowledge. The research design included a mix of methods in a sequential explanatory design involving two stages. The study organisations were two Australian casino hotels, “Casino Ace” and “Casino Baccarat”. Both participating casino hotels are located in regional and remote locations. Employees of these two casino hotels were participants for each data collection stage. The first stage was quantitative and explored the first two research questions. The data collection instrument was a self-report questionnaire designed to measure each of the variables of interest: employee attributions of HR practices, perceptions of service climate, job satisfaction and organisational commitment. A total of 443 usable surveys were collected across the two data collection sites: 139 completed questionnaires at Casino Ace and 304 at Casino Baccarat (representing a response rate from the sample of 87% and 95% respectively). Data analysis techniques adopted to explore the research questions included confirmatory factor analyses, tests of validity and reliability, and structural equation modelling to assess the hypotheses. The second stage was qualitative and explored the third research question. A series of interviews was conducted with employees from both of the participating casino hotels. A total of 23 interviews were conducted – 11 at Casino Ace and 12 at Casino Baccarat. Thematic analysis techniques were used to analyse the data. Findings indicate that when employees attribute HR practices to a concern for employee well-being and a commitment to quality service delivery (the Internal Commitment HR attribution), higher levels of job satisfaction and organisational commitment result. In contrast, when employees attribute HR practices to either a desire to cut costs and exploit employees (the Internal Control HR attribution) or the need to comply with external regulations (the External Compliance HR attribution), there is little to no influence of job-related attitudes. A positive level of service climate is highly related to the Internal Commitment HR attribution. Service climate is also positively related to job-related attitudes. Contrary to expectations, there is limited evidence to suggest that service climate mediates the relationship between HR attributions and job-related attitudes. Implications of the study are wide-ranging. The newly emerging theory of HR attributions has merit, although there appear to be contingencies and boundary conditions on the hypothesised relationships. Further research into employee HR attributions is warranted. The remote location of the two casino hotels appears to have influenced the results. This unplanned finding highlights the need for a better understanding of the impact of operating in remote location on workplace outcomes.

Purpose The purpose of this paper is to examine the mediating role of job involvement as high-performance work system (HPWS) on the relationship between human resource (HR) practices and employee performance in multinational corporations (MNCs) in developing economies using Ghana as a case study. Design/methodology/approach Using questionnaires to collect data from 317 employees and ten MNCs in Ghana, structural equation modeling (SEM), multiple regression and bootstrapping analysis were used to analyze the data. Findings The results showed that an HPWS proxy as job involvement fully mediates the relationship between HR practices and employee performance. The findings also showed that training and development and compensation and reward have a significant and direct positive effect on employee performance. Practical implications This paper provides a practical guide to management and corporations on the significance of training and compensation on employee performance in MNCs. The study, therefore, recommends managers of firms and corporations to take a serious look at their HR practices and institute an HPWS, which can positively improve both corporate and employee performance. Originality/value This paper enhances our understanding of micro-level HPWS in the form of job involvement as a positive mediator between training and development and employee performance on the one hand, and between compensation and reward and employee performance on the other hand in work organizations in a less-studied context.

PurposeScholars have adopted different theoretical perspectives to explain the influence of HR practice on employee outcomes. However, few studies have investigated the role of human resource (HR) practice in fostering higher in-role and extra-role employee performance by encouraging employee participation in job design, a process referred to as job crafting. Drawing on human resource management (HRM) process theory and the job crafting literature, this study aims to examine how work engagement and job crafting mediate the relationship between employee perceptions of HR practice and employee performance.Design/methodology/approachThe authors use survey on a sample of 455 employees working in five Chinese manufacturing firms to test their theoretical model.FindingsThis study finds that where management maintains a strong HR system, employees are more likely to be engaged in their work and participate in job crafting. In addition, job crafting on its own, and work engagement and job crafting together, are shown to mediate the HRM–performance relationship.Research limitations/implicationsIn a Chinese context, line managers (including supervisors) are both important implementers of HR policy and vary in their adoption of particular roles. Yet our research did not consider the role of these persons in facilitating work engagement or job crafting. Future studies could usefully explore how these managers vary in their attitudes towards job crafting and the roles they play in encouraging this important activity.Practical implicationsOne important implication is that strong HR system with distinctive, consistent and consensus HR practices should be used by managers to motivate employees to encourage work engagement and job crafting behaviours.Originality/valueThis study enriches the theoretical framework to explain the underlying mechanism between HRM and employee performance from job crafting perspective.

The integration of Artificial Intelligence (AI) into Human Resources (HR) procedures has heralded the dawn of a new age in the workplace. The purpose of this research study is to shed light on how AI-driven innovations are transforming recruiting, talent management, employee engagement, and the broader HR function. It examines AI's possibilities for decreasing prejudice, increasing efficiency, and optimizing HR decision-making, while also addressing the ethical quandaries and concerns that arise from this fundamental transition. The growing importance of AI and machine learning (ML) in altering HR practices cannot be emphasized. The advent of 'Big Data,' combined with the spread of the Internet of Things (IoT), has created a hospitable environment for breakthrough AI solutions. AI is increasingly being used by businesses to automate HR duties. As a result, AI has the ability to reduce the administrative burden on HR professionals by allowing them to make decisions based on solid data patterns rather than mere guesswork. This conversation digs into AI integration in HR, its benefits, implementation issues, and next steps. Adopting AI and machine learning is critical for precise decision-making and effective staff management. It is critical for HR staff to overcome their fears in order to handle these obstacles. This paper aims to provide a complete knowledge of the emerging HR landscape in the age of AI, presenting insights and ideas to steer enterprises toward a future in which human and artificial intelligence coexist together in the workplace.

Background: Employees are increasingly being recognised as a valuable source of information, especially in knowledge-based businesses. Businesses, however, suffer financial and organisational memory losses related to re-hiring and training new staff, and lost productivity and intellectual property because of employee turnover. Hence, employee turnover should be considered an essential part of human resource management. Furthermore, employees' trust in management and human resource (HR) practices substantially impact organisational commitment (OC). Thus, anticipating employee commitment and turnover intentions is crucial, as people are the sole source for knowledge-based firms to maintain their competitive advantage. In the context of selected Tehran Renewable Energy (RE) firms, this study investigated the mediating impact of OC on the relationship between HR practices (recruitment and selection; training and development opportunities; performance appraisal and evaluation; teamwork; compensation and pay; and job security) and employee turnover intention. Methods: This is a cross-sectional study in Tehran that involved 90 experts and knowledgeable employees from four of Tehran's top RE businesses. A questionnaire was distributed to collect data which was later analysed with correlation, regression and bootstrapping analyses. Results: All six dimensions of HR practices were discovered to have an indirect impact on turnover intention and a direct impact on OC. OC among employees has an indirect effect on turnover intention. It was also revealed that the training and development opportunity has the most considerable effect on OC and turnover intention. OC was not found as a mediator between HR practices and turnover intention. Conclusions: The outcomes of this study showed that both training and development opportunities; and pay and compensation structure were found to be two significant components of HR practices in the relationship with OC. RE managers should employ appropriate HR strategies, particularly in these two dimensions, to improve an individual's degree of OC and reduce turnover intention.

This study explores the integration of digital technologies and strategic human resource (HR) practices to manage and develop the workforce in alignment with the evolving digital landscape. As organizations increasingly adopt digital transformation initiatives, HR functions must adapt to leverage technological advancements for enhanced efficiency and effectiveness. The research investigates key areas such as automation, artificial intelligence (AI), cloud-based HR systems, and people analytics, examining their impact on traditional HR processes including recruitment, on boarding, performance evaluation, and employee development. Furthermore, the study delves into the importance of fostering a digital-ready workforce through continuous up skilling and deskilling initiatives, creating a culture of innovation, and implementing personalized employee experiences. The role of data-driven decision-making in strategic HR planning is highlighted, showcasing how predictive analytics can forecast workforce needs and identify skill gaps. The findings underscore the need for agile workforce management and the development of future-ready leadership to navigate the complexities of digital transformation. By embracing digital HR strategies, organizations can not only improve operational efficiency but also enhance employee engagement, satisfaction, and overall organizational performance. This study provides a comprehensive framework for HR professionals to strategically integrate digital technologies, ensuring their organizations remain competitive and adaptable in the rapidly changing digital era. Key words: Digital Transformation, Strategic Human Resource Planning, Workforce Development, Technological Integration in HR & Innovative HR Practices.

This research paper delves into the intricate relationship between Artificial Intelligence (AI), Machine Learning (ML), and decision-making processes in Human Resources (HR) within modern organizational settings. As technology continues to evolve, HR practices are undergoing significant transformations due to the influence of AI and ML. The study examines the various ways these technologies are applied across crucial HR areas such as recruitment, talent management, performance evaluations, and employee engagement. Through an analysis of the benefits, obstacles, and ethical considerations associated with incorporating AI and ML into HR practices, the research aims to provide a comprehensive understanding of their impact on organizational dynamics. Additionally, the exploration of how these technologies affect diversity and inclusion initiatives within the workforce adds a nuanced perspective to the inquiry. The findings of this research offer valuable insights for HR professionals, policymakers, and organizational leaders navigating the evolving landscape where human judgment intersects with artificial intelligence.

Prioritizing human resource (HR) practices has been found to improve innovation outcomes in organizations. However, most previous studies have concentrated on internal mechanisms, leaving a gap in our understanding of how HR practices facilitate organizations in adapting external knowledge and technology to drive innovation. To bridge this research gap, we study the mediating role of employees’ innovative work behaviour (IWB) and an organization's capacity for learning and transformation (CLT) in the relationship between HR practices that strengthen intellectual capital (IC) and product innovation. The hypotheses were tested using a time‐lagged design and survey data from the healthcare industry collected over three waves. The findings indicate that employees' IWB mediates the relationship between IC‐enhancing HR practices and the organization's CLT. IC‐enhancing HR practices are also associated with product innovation through the serial mediation effects of IWB and CLT. The study also highlights the moderating role of transformational leadership in the indirect relationship between IC‐enhancing HR practices and the organization's CLT via IWB. This research demonstrates that HR systems, although internally designed, can capture external transformations. Moreover, it emphasizes the importance of the combined impact of well‐designed HR systems and leadership for driving innovation.

The integration of mathematical approaches into Human Resource (HR) practices within the Information Technology (IT) sector represents a significant advancement in optimizing HR functions and decision-making. This abstract explores how quantitative methods and data analytics can enhance various HR practices in IT organizations, focusing on talent acquisition, employee development, performance management, retention, and compliance. Mathematical techniques such as predictive analytics, optimization models, and statistical analysis provide valuable insights into managing human capital effectively. Predictive models and machine learning algorithms enable accurate forecasting of employee turnover, assessment of candidate suitability, and identification of skill gaps. Optimization approaches, including linear programming and resource allocation models, help in maximizing recruitment efficiency and training effectiveness. In performance management, statistical models and data-driven evaluations facilitate objective assessments of employee performance, aligning it with organizational goals. Additionally, predictive analytics and risk models are employed to anticipate and mitigate retention challenges, enhancing employee engagement and reducing turnover. The mathematical approach extends to compliance and risk management, where quantitative risk models and anomaly detection techniques ensure adherence to regulatory requirements and internal policies. By leveraging these methods, IT companies can make informed HR decisions, improve operational efficiency, and maintain a competitive edge in a rapidly evolving technological landscape. In summary, applying mathematical approaches to HR practices in the IT sector fosters data-driven decision-making, enhances strategic HR interventions, and supports organizational growth and adaptability in the face of technological advancements.

Energy shortage in Pakistan from last ten-years encourages small and big industries to construct their own Power-plant. These plants range from 1MW to 20MW. The power plant has different departments to handle engineering, maintenance, operation and related issues. Human resource (HR) department has the presence to efficiently handle man-power. This academic work takes a look at how human resource (HR) practices fix people working in power plants and decrease employee embeddedness. Indeed, we inquired into the revolving repercussion of the organizational appointment embedded in an association between human resource (HR), and a member of staff revenue objective. The assumptions are experimented via data from 200 respondents from newly constructed power plants in Pakistan. As forecasted, performance appraisal and organizational rewards decreased turnover intentions. Employee development activities increased employees’ perceptions with greater turnover intentions. The results suggest that organizations hoping to use HR practices to deter turnover may experience the greatest success by using performance management and reward systems to increase perceptions of organizational fit.