https://sabapub.com/index.php/sebr/issue/feed Studies in Economics and Business Relations 2024-02-23T00:56:11+00:00 Open Journal Systems <p>Studies in Economics and Business Relations (SEBR) is a peer reviewed international journal published by Saba Publishing. The aim of the journal is to provide a venue for researchers and practitioners to share theories, views, research and results in areas of Economics, Management, Accounting, Auditing and Finance. Articles are published in English.</p> <p><strong>Editor in Chief: <a href="https://sabapub.com/index.php/sebr/about/editorialTeam" target="_blank" rel="noopener">Dr. Faozi A. Almaqtari</a></strong><br /><strong>ISSN (online)</strong>: <a href="https://portal.issn.org/resource/ISSN/2709-670X">2709-670X</a><br /><strong>Frequency:</strong> Biennial</p> https://sabapub.com/index.php/sebr/article/view/821 Investment in Malaysian Stock Market and the Inflation Rate 2023-08-11T15:21:43+00:00 Yeoh Wee Win meekyeoh@yahoo.com <p>The increasing concern on the rising inflation rate in Malaysia had motivated the need for the study on the investment return for the Malaysian stock market to compare against the inflation rate in Malaysia. The study had reflected towards the literature review to identify the potential pattern for the study creating the expectations to observe the positive correlation between the inflation rate and the portfolio return of the stock investment as well as the higher KLSE market index growth rate over the inflation rate in the country. With this, the resign design through the quantitative method had been introduced with reference to the application of the correlation analysis and regression analysis to test for the hypothesis for the study. In addition, the comparative analysis will be used as part of the quantitative analysis to understand the potential difference in the inflation rate against the KLSE market index growth rate. The outcome for the quantitative findings had concluded that there is very weak negative correlation being observed between the two variables, but the regression analysis failed to show any significant in the relationship between the two variables disagreeing with the previous studies. On the other hand, the KLSE market index growth had been significantly higher than the inflation rate in Malaysia suggesting that the stock investment in Malaysia could be beneficial for the investors to beat the inflation rate in Malaysia. With this, the objective of the study is being achieved with the suggestion towards the potential future research study being proposed for the future researchers.</p> 2024-02-23T00:00:00+00:00 Copyright (c) 2024 Studies in Economics and Business Relations https://sabapub.com/index.php/sebr/article/view/1001 Role and challenges of ChatGPT, Gemini, and similar generative artificial intelligence in human resource management 2024-02-01T21:13:57+00:00 Nitin Rane nitinrane33@gmail.com <p>The integration of generative artificial intelligence (AI) systems, such as ChatGPT, into Human Resource Management (HRM) has marked the beginning of a groundbreaking era in innovative workforce management and employee engagement. This research investigates the pivotal role played by ChatGPT and analogous generative AI technologies in HRM, underscoring their significance in the realms of recruitment, employee training, and organizational communication. Leveraging their natural language processing abilities, these AI systems streamline the recruitment process, ensuring unbiased candidate selection and enhancing the overall efficiency of HR departments. Moreover, in training and development initiatives, ChatGPT facilitates tailored learning experiences, adjusting content to meet individual employee needs, thereby fostering skill enhancement and professional growth. Nevertheless, the widespread adoption of ChatGPT in HRM is not without its challenges. Ethical concerns, such as data privacy and algorithmic bias, necessitate thorough examination to prevent discriminatory practices and guarantee equitable treatment of employees. Additionally, the requirement for continuous monitoring and refinement of AI algorithms to align with evolving organizational cultures and goals presents a significant hurdle. Moreover, striking a harmonious balance between AI-driven automation and human intervention is imperative to preserve the human touch in HRM processes, safeguarding the empathetic and intuitive elements that are essential for effective employee management. This research delves into these complex dynamics, shedding light on the transformative potential of ChatGPT and akin generative AI technologies in HRM, while also emphasizing the need for vigilance and strategic planning to address the associated challenges. Through an exhaustive analysis of real-world case studies and ethical frameworks, this study offers valuable insights for HR professionals, policymakers, and researchers endeavoring to navigate the intricate landscape of AI-powered HRM.</p> <p>&nbsp;</p> 2024-02-23T00:00:00+00:00 Copyright (c) 2024 Studies in Economics and Business Relations