The fourth industrial revolution will be ushered in by future high technology, and as a result, the world will face new difficulties relating to people, the environment, and profitability. Accordingly, the competitive edge and long-term viability of businesses would depend on the knowledge workers who could overcome these excruciatingly difficult obstacles and have the knowledge and competency to influence the overall performance of any type of company. But managing knowledge workers falls under the purview of human resources, and only effective human resources tools, plans, and procedures can ensure the success of this task. One such tool, which has the capacity and capability to change the whole scenario in an organization's favor, is the human resource information system (HRIS). The purpose of this structured review is to provide insight into a field of HRM (i.e., HRIS) that has largely been neglected by other reviews of the literature and has only been briefly discussed by a small number of publications published in reputable, top-tier journals. A customized HRIS framework is the result of this structured literature review for managing knowledge and competence. The study presents the content analysis of 48 articles, systematically and purposefully selected for this literature review, published during the past three decades. The study has several implications for policymakers and HR practitioners.
This study examines the impact of artificial intelligence (AI) on loss in decision-making, laziness, and privacy concerns among university students in Pakistan and China. Like other sectors, education also adopts AI technologies to address modern-day challenges. AI investment will grow to USD 253.82 million from 2021 to 2025. However, worryingly, researchers and institutions across the globe are praising the positive role of AI but ignoring its concerns. This study is based on qualitative methodology using PLS-Smart for the data analysis. Primary data was collected from 285 students from different universities in Pakistan and China. The purposive Sampling technique was used to draw the sample from the population. The data analysis findings show that AI significantly impacts the loss of human decision-making and makes humans lazy. It also impacts security and privacy. The findings show that 68.9% of laziness in humans, 68.6% in personal privacy and security issues, and 27.7% in the loss of decision-making are due to the impact of artificial intelligence in Pakistani and Chinese society. From this, it was observed that human laziness is the most affected area due to AI. However, this study argues that significant preventive measures are necessary before implementing AI technology in education. Accepting AI without addressing the major human concerns would be like summoning the devils. Concentrating on justified designing and deploying and using AI for education is recommended to address the issue.