Causal Factors Affecting Staff Performance of Private Hospitals in Yichang City,the People’s Republic of China


Authors : Deng Yuyang; Buraporn Kumboon; Suchart Prakthayanon; Thananwarin Kositkanin

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/ycx5mxff

Scribd : https://tinyurl.com/4tbpt63x

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG820

Abstract : The purpose of this study is: (1) Study the opinions of private hospitals in Yichang city on individual, information technology, knowledge management process , knowledge management operations and staff performance of employees. (2) to study the influence of individual, information technology, knowledge management process, knowledge management practice operations that affect staff performance in private hospitals in Yichang city.and(3)to study the methods to improve the operational business performance. This study is a mixed method study. The sample for the quantitative study was 3767 people from 60 private hospitals in Yichang. The sample size was determined according to the criteria of Hare et al., with a total sample population of 400 people, and a qualitative study was conducted. Purposive random sampling method was used for 8 people, including executives and medical staff. The instrument used to collect data was a questionnaire using the structural equation modeling technique. Major Findings: (1)The factors that influence staff performance in private hospitals in Yichang, the People's Republic of China include individuals, information technology, knowledge management process and knowledge management operations.(2) Individuals, information technology, knowledge management processes, and knowledge management operationgs have a positive impact on staff performance, where the index measuring the consistency level of the structural equation model is appropriate and harmonized with the empirical data 2/df = 2.40,CFI = 0.936 ,NFI=0.896, RFI=0.875, IFI=0.937,TLI=0.923,CFI=0.936, RMSEA = 0.060 and (3) By strengthening the application of information technology, paying attention to the role of individuals, optimizing knowledge management processes, and strengthening the connection between knowledge management operations and employee performance, Yichang private hospitals can further improve the effectiveness of knowledge management, promote the improvement of employee performance, and achieve sustainable development of the hospital.

Keywords : Performance; Hospitals and Yichang City.

References :

  1. Aguinis, H., & Kraiger, K. (2009). Benefits of training and development for individuals and teams, organizations, and society. Annual Review of Psychology, 60, 451-474.
  2. Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS quarterly, 25(1), 107-136.
  3. Alavi, M., & Tiwana, A. (2002). Knowledge integration in virtual teams: The potential role of KMS. Journal of the American Society for Information Science and Technology, 53(12), 1029-1037.
  4. Al-Qirim, N. (2017). The role of knowledge management in enhancing healthcare performance: A developing country perspective. Knowledge Management Research & Practice, 15(2), 284-292.
  5. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
  6. Choi, B., & Lee, H. (2002). An empirical investigation of KM styles and their effect on corporate performance. Information & management, 40(5), 403-417.
  7. Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business Press.
  8. Edmondson, A. C., & Moingeon, B. (1996). Learning, trust, and organizational change: The alignment of expectations. The Academy of Management Review, 21(2), 571-610.
  9. Gagné, M., & Deci, E. L. (2005). Self‐determination theory and work motivation. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 26(4), 331-362.
  10. Ganster, D. C., & Schaubroeck, J. (1991). Work stress and employee health. Journal of Management, 17(2), 235-271.
  11. Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109-122.
  12. Holsapple, C. W., & Joshi, K. D. (2000). An investigation of factors that influence the management of knowledge in organizations. Journal of Strategic Information Systems, 9(2-3), 235-261.
  13. Holsapple, C. W., & Joshi, K. D. (2002). Knowledge manipulation activities: Results of a Delphi study. Decision Support Systems, 33(1), 55-68.
  14. Hsiao, R. L., Tseng, Y. H., & Lee, P. Y. (2011). The impact of knowledge management capabilities and supplier relationship management on corporate performance. International Journal of Production Economics, 141(1), 187-197.
  15. Huang, L., & Hsueh, J. H. (2018). Examining the impacts of individual factors, organizational resources, and environmental dynamics on employee innovative behavior: Evidence from China. Sustainability, 10(4), 1054.
  16. Janssen, O. (2001). Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal, 44(5), 1039-1050.
  17. Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264-1294.
  18. Kannampallil, T. G., Schauer, G. F., Cohen, T., & Patel, V. L. (2011). Considering complexity in healthcare systems. Journal of Biomedical Informatics, 44(6), 943–947.
  19. Lee, H., & Choi, B. (2003). An empirical investigation into the effect of organizational culture on knowledge management practices. Journal of software maintenance and evolution: Research and practice, 15(2), 77-91.
  20. Lee, H., & Choi, B. (2003). Knowledge management enablers, processes, and organizational performance: An integrative view and empirical examination. Journal of management information systems, 20(1), 179-228.
  21. Pan, S. L., & Scarbrough, H. (1998). A socio-technical view of knowledge-sharing at Buckman Laboratories. Journal of Knowledge Management, 2(1), 55-66.
  22. Parker, S. K., Williams, H. M., & Turner, N. (2006). Modeling the antecedents of proactive behavior at work. Journal of applied psychology, 91(3), 636-652.
  23. Ruggles, R., & Holtshouse, D. (1999). The knowledge advantage: 14 visionaries define marketplace success in the new economy. Oxford University Press.
  24. Schuler, R. S., & Jackson, S. E. (1987). Linking competitive strategies with human resource management practices. Academy of Management Executive, 1(3), 207-219.
  25. Wang, L., & Netemeyer, R. G. (2002). The effects of job autonomy, customer demandingness, and trait competitiveness on salesperson learning, self-efficacy, and performance. Journal of the Academy of Marketing Science, 30(3), 217-228.
  26. Wang, Z., & Wang, N. (2012). Knowledge sharing, innovation and firm performance. Expert systems with applications, 39(10), 8899-8908.
  27. Zack, M. H. (1999). Managing codified knowledge. Sloan Management Review, 40(4), 45-58.

The purpose of this study is: (1) Study the opinions of private hospitals in Yichang city on individual, information technology, knowledge management process , knowledge management operations and staff performance of employees. (2) to study the influence of individual, information technology, knowledge management process, knowledge management practice operations that affect staff performance in private hospitals in Yichang city.and(3)to study the methods to improve the operational business performance. This study is a mixed method study. The sample for the quantitative study was 3767 people from 60 private hospitals in Yichang. The sample size was determined according to the criteria of Hare et al., with a total sample population of 400 people, and a qualitative study was conducted. Purposive random sampling method was used for 8 people, including executives and medical staff. The instrument used to collect data was a questionnaire using the structural equation modeling technique. Major Findings: (1)The factors that influence staff performance in private hospitals in Yichang, the People's Republic of China include individuals, information technology, knowledge management process and knowledge management operations.(2) Individuals, information technology, knowledge management processes, and knowledge management operationgs have a positive impact on staff performance, where the index measuring the consistency level of the structural equation model is appropriate and harmonized with the empirical data 2/df = 2.40,CFI = 0.936 ,NFI=0.896, RFI=0.875, IFI=0.937,TLI=0.923,CFI=0.936, RMSEA = 0.060 and (3) By strengthening the application of information technology, paying attention to the role of individuals, optimizing knowledge management processes, and strengthening the connection between knowledge management operations and employee performance, Yichang private hospitals can further improve the effectiveness of knowledge management, promote the improvement of employee performance, and achieve sustainable development of the hospital.

Keywords : Performance; Hospitals and Yichang City.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe