AI Strategy in Healthcare CHRM: Analyzing the Influence Organization Effective Performance Evidence from the Private Hospitals of Lahore Pakistan
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Abstract
Background: The advent of Artificial Intelligence (AI) within organizational frameworks, particularly in the realm of Human Resource Management (HRM), has initiated a transformative shift in operational efficiencies and strategies across various sectors. This integration aims to leverage AI's capabilities to augment human decision-making, enhance operational efficiency, and foster a culture of innovation within organizations. Despite the potential benefits, the practical application and tangible impact of AI strategies on organizational effectiveness remain areas of significant academic and practical interest.
Objective: This study aimed to investigate the influence of AI strategies and creativity oriented HRM practices on organizational effective performance. It sought to explore the synergistic relationship between AI implementation and innovative HR practices, and their collective impact on enhancing organizational efficiency and performance metrics.
Methods: Employing a cross-sectional survey design, the study collected data from employees working in private hospitals in Lahore, Pakistan. A total of 144 valid responses were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the relationships between AI strategy implementation, creativity-oriented HRM practices, and organizational effective performance. Reliability and validity of the constructs were evaluated through Cronbach's alpha, composite reliability, and average variance extracted (AVE) measures.
Results: The findings revealed that AI strategy implementation (Cronbach's alpha = 0.942, AVE = 0.611) and creativity oriented HRM practices (Cronbach's alpha = 0.932, AVE = 0.585) were both significantly associated with enhanced organizational effective performance (Cronbach's alpha = 0.932, AVE = 0.533). The path analysis indicated strong positive relationships between AI strategies and creativity-oriented HRM practices (β = 0.688, p < 0.001), between AI strategies and organizational performance (β = 0.228, p = 0.004), and between creativity-oriented HRM practices and organizational performance (β = 0.597, p < 0.001). The model explained 59% of the variance in organizational effective performance.
Conclusion: The study concludes that the strategic integration of AI within HRM frameworks significantly contributes to organizational effectiveness. Emphasizing creativity-oriented HRM practices in conjunction with AI strategies can lead to substantial improvements in organizational performance. These findings underscore the importance of a strategic approach to AI integration in HRM, highlighting the need for organizations to foster environments that promote innovation and creativity.
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References
Singh N, Jain M, Kamal MM, Bodhi R, Gupta B. Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory. Technological Forecasting and Social Change. 2024;198:122967.
Salama V, Godinich B, Geng Y, Humbert-Vidan L, Maule L, Wahid KA, et al. Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review. medRxiv. 2023:2023.12. 06.23299610.
MacIntyre CR, Chen X, Kunasekaran M, Quigley A, Lim S, Stone H, et al. Artificial intelligence in public health: the potential of epidemic early warning systems. Journal of International Medical Research. 2023;51(3):03000605231159335.
Liu R, Gupta S, Patel P. The application of the principles of responsible AI on social media marketing for digital health. Information Systems Frontiers. 2023;25(6):2275-99.
Lin JC-W, Srivastava G, Zhang Y-D. Special Issue Editorial: Advances in Computational Intelligence for Perception and Decision-Making for Autonomous Systems. Elsevier; 2023. p. 1-4.
Kianian R, Carter M, Finkelshtein I, Eleswarapu SV, Kachroo N. Application of artificial intelligence to patient-targeted health information on kidney stone disease. Journal of Renal Nutrition. 2023.
Kar AK, Varsha P, Rajan S. Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature. Global Journal of Flexible Systems Management. 2023;24(4):659-89.
George AS, George AH. A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal. 2023;1(1):9-23.
Fan S-KS, Chen M-S, Hsu C-Y, Park Y-J. An artificial intelligence transformation model–pod redesign of photomasks in semiconductor manufacturing. Journal of Industrial and Production Engineering. 2023:1-16.
Abulsaoud Ahmed Younis R, Adel HM, editors. Artificial intelligence strategy, creativity-oriented HRM and knowledge-sharing quality: Empirical analysis of individual and organisational performance of AI-powered businesses. The Annual International Conference of The British Academy of Management (BAM); 2020.
Bays HE, Fitch A, Cuda S, Gonsahn-Bollie S, Rickey E, Hablutzel J, et al. Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023. Obesity Pillars. 2023;6:100065.
Alzubaidi L, Al-Sabaawi A, Bai J, Dukhan A, Alkenani AH, Al-Asadi A, et al. Towards risk-free trustworthy artificial intelligence: Significance and requirements. International Journal of Intelligent Systems. 2023;2023.
Ravali RS, Vijayakumar TM, Lakshmi KS, Mavaluru D, Reddy LV, Retnadhas M, et al. A systematic review of artificial intelligence for pediatric physiotherapy practice: past, present, and future. Neuroscience Informatics. 2022;2(4):100045.
Gerke S, Rezaeikhonakdar D. Privacy aspects of direct-to-consumer artificial intelligence/machine learning health apps. Intelligence-Based Medicine. 2022;6:100061.
Bandi S, Kothari A. Artificial Intelligence: An Asset for the Financial Sector. Impact of Artificial Intelligence on Organizational Transformation. 2022:259-87.
Yeng PK, Nweke LO, Yang B, Ali Fauzi M, Snekkenes EA. Artificial intelligence–based framework for analyzing health care staff security practice: Mapping review and simulation study. JMIR medical informatics. 2021;9(12):e19250.
Goralski MA, Tan TK. Artificial intelligence and sustainable development. The International Journal of Management Education. 2020;18(1):100330.
Catania LJ. Foundations of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians: Academic Press; 2020.
Falcetta FS, de Almeida FK, Lemos JCS, Goldim JR, da Costa CA. Automatic documentation of professional health interactions: A systematic review. Artificial Intelligence in Medicine. 2023:102487.
Duft G, Durana P. Artificial intelligence-based decision-making algorithms, automated production systems, and big data-driven innovation in sustainable industry 4.0. Economics, Management and Financial Markets. 2020;15(4):9-18.
Song F, Ai Z, Zhou Y, You I, Choo K-KR, Zhang H. Smart collaborative automation for receive buffer control in multipath industrial networks. IEEE Transactions on Industrial Informatics. 2019;16(2):1385-94.
Gold AH, Malhotra A, Segars AH. Knowledge management: An organizational capabilities perspective. Journal of management information systems. 2001;18(1):185-214.
Makridakis S. The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures. 2017;90:46-60.
Wilson HJ, Daugherty PR. Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review. 2018;96(4):114-23.
Prescott A, Hughes LM. Why do we digitize? The case for slow digitization. Archive Journal. 2018.
Agrawal A, Gans J, Goldfarb A. What to expect from artificial intelligence. MIT Sloan Management Review Cambridge, MA, USA; 2017.
Kreutzer RT, Sirrenberg M. Understanding artificial intelligence: Springer; 2020.
Chelliah J. Will artificial intelligence usurp white collar jobs? Human Resource Management International Digest. 2017;25(3):1-3.
Plastino E, Purdy M. Game changing value from Artificial Intelligence: eight strategies. Strategy & Leadership. 2018;46(1):16-22.
Kolbjørnsrud V, Amico R, Thomas RJ. How artificial intelligence will redefine management. Harvard Business Review. 2016;2(1):3-10.
Jarrahi MH. Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons. 2018;61(4):577-86.