본문 바로가기
KERD
논문KCI 등재

The Effects of the Electronic Health Record System on Work Overload and Stress Moderation of Hospital Employees

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

Abstract

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

참고문헌 (42)

  1. Umair Ahmed, "Moderation of Meaningful Work on the Relationship of Supervisor Support and Coworker Support with Work Engagement", Asian Journal of Business Environment, 6(3), pp.15~20 (2016), 한국유통과학회
  2. Argyris, C., "Organizational learning II: Theory, Method, and Practice" (1996), Addison-Wesley
  3. Richard P. Bagozzi, "Salesforce Performance and Satisfaction as a Function of Individual Difference, Interpersonal, and Situational Factors", Journal of Marketing Research, 15(4), pp.517~ (1978), JSTOR[DOI]
  4. Bakker, A. B., "The Job Demands-resources Model : State of The Art", Journal of Managerial Psychology, 22(3), pp.309~328 (2007)
  5. Arnold B. Bakker, "Job resources boost work engagement, particularly when job demands are high.", Journal of Educational Psychology, 99(2), pp.274~284 (2007), American Psychological Association (APA)[DOI]
  6. A. Bartel, "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills", The Quarterly Journal of Economics, 122(4), pp.1721~1758 (2007), Oxford University Press (OUP)[DOI]
  7. Erik Brynjolfsson, "Beyond the productivity paradox", Communications of the ACM, 41(8), pp.49~55 (1998), Association for Computing Machinery (ACM)[DOI]
  8. Cappelli, P, "Technology and Skill Requirements:Implications for Establishment Wage Structures", New England Economic Review, pp.139~156 (1996)
  9. Eean R. Crawford, "Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test.", Journal of Applied Psychology, 95(5), pp.834~848 (2010), American Psychological Association (APA)[DOI]
  10. Damanpour, F., "Organizational Innovation: A Meta-analysis of Effects of Determinants and Moderators", Academy of Management Journal, 34(3) (1991)[DOI]
  11. William H. DeLone, "Information Systems Success: The Quest for the Dependent Variable", Information Systems Research, 3(1), pp.60~95 (1992), Institute for Operations Research and the Management Sciences (INFORMS)[DOI]
  12. DeLone, W. H., "The DeLone and McLean Model of Information Systems Success: A Ten-Year Update", Journal of Management Information Systems, 19(4), pp.9~30 (2014), Informa UK Limited[DOI]
  13. T Dewett, "The role of information technology in the organization: a review, model, and assessment", Journal of Management, 27(3), pp.313~346 (2001), SAGE Publications[DOI]
  14. Richard P. Bagozzi, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment", Journal of Marketing Research, 18(3), pp.375~ (1981), JSTOR[DOI]
  15. Dale L. Goodhue, "Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System", Decision Sciences, 29(1), pp.105~138 (1998), Wiley[DOI]
  16. Grandey, A. A., "Must "Service with a Smile" be Stressful? The Moderating Role of Personal Control for American and French Employees", Journal of Applied Psychology, 90(5), pp.893~904 (2005)[DOI]
  17. Hochschild, A. R, "Emotion Work, Feeling Rules, and Social Structure", American Journal of Sociology, 85(3), pp.551~575 (1979)
  18. Hooper, L., "Flavonoids, Flavonoid-rich Foods, and Cardiovascular Risk: A Meta-analysis of Randomized Controlled Trials", American Journal of Clinical Nutrition, 88(1), pp.38~50 (2008)
  19. Juhani Iivari, "An empirical test of the DeLone-McLean model of information system success", ACM SIGMIS Database, 36(2), pp.8~27 (2005), Association for Computing Machinery (ACM)[DOI]
  20. Melanie K. Jones, "Training, Job Satisfaction, and Workplace Performance in Britain: Evidence from WERS 2004", LABOUR, 23, pp.139~175 (2009), Wiley[DOI]
  21. Kaplan, R. S., "The Balanced Scorecard-Measures That Drive Performance", Harvard Business Review, 70(1), pp.71~79 (1992)
  22. Karasek, R. A., "Job Content Questionnaire, Los Angeles: University of Southern California", Department of Industrial and Systems Engineering, pp.1985
  23. Koopmans, L., "Improving the Individual Work Performance Questionnaire using Rasch analysis", Journal of Applied Measurement, 15(2) (2014)[DOI]
  24. Landsbergis, P. A., "The Patterning of Psychological Attributes and Distress by "Job Strain"and Social Support in a Sample of Working Men", Journal of Behavior Medicine, 15(4), pp.379~405 (1992)[DOI]
  25. Raymond T. Lee, "A meta-analytic examination of the correlates of the three dimensions of job burnout", Journal of Applied Psychology, 81(2), pp.123~133 (1996), American Psychological Association (APA)[DOI]
  26. Marteau, T. M., "The Development of a Six-item Short-form of the State Scale of the Spielberger State—Trait Anxiety Inventory (STAI)", British Journal of Clinical Psychology, 31(3), pp.301~306 (1992)[DOI]
  27. MdLazim Mohd Zin, "The Determinants of Human Resource Information System Success in Japanese Manufacturing Companies", Asian Journal of Business Environment, 6(4), pp.27~34 (2016), 한국유통과학회
  28. Barry L. Myers, "A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function", Information Resources Management Journal, 10(1), pp.6~26 (1997), IGI Global[DOI]
  29. Donald F. Parker, "Organizational determinants of job stress", Organizational Behavior and Human Performance, 32(2), pp.160~177 (1983), Elsevier BV[DOI]
  30. Peter, H., "Stress and the Nurse Manager" (1986), Wiley
  31. Leyland F. Pitt, "Service Quality: A Measure of Information Systems Effectiveness", MIS Quarterly, 19(2), pp.173~ (1995), JSTOR[DOI]
  32. Nathan P. Podsakoff, "Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: A meta-analysis.", Journal of Applied Psychology, 92(2), pp.438~454 (2007), American Psychological Association (APA)[DOI]
  33. Jani H Ruotsalainen, "Preventing occupational stress in healthcare workers", Cochrane Database of Systematic Reviews (2015), Wiley[DOI]
  34. Saunders, C. S., "Measuring Performance of the Information Systems Function", Journal of Management Information Systems, 8(4), pp.63~82 (1992)[DOI]
  35. Wilmar B. Schaufeli, "Job demands, job resources, and their relationship with burnout and engagement: a multi-sample study", Journal of Organizational Behavior, 25(3), pp.293~315 (2004), Wiley[DOI]
  36. Jagdip Singh, "Performance Productivity and Quality of Frontline Employees in Service Organizations", Journal of Marketing, 64(2), pp.15~34 (2018), SAGE Publications[DOI]
  37. Sabine Sonnentag, "Job characteristics and off-job activities as predictors of need for recovery, well-being, and fatigue.", Journal of Applied Psychology, 91(2), pp.330~350 (2006), American Psychological Association (APA)[DOI]
  38. Sousa, J., "Minnesota Satisfaction Questionnaire–Propriedades Psicométricas e Validação numa População de Profissionais de" (2011), Centro Hospitalar do Porto
  39. Spector, P., "Job Satisfaction: Application, Assessment, Causes and Consequences" (1997), Sage
  40. Viswanath Venkatesh, "Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior", MIS Quarterly, 24(1), pp.115~ (2000), JSTOR[DOI]
  41. Webber, L., "Age, Work Ability and Plans to Leave Work", Australian Psychological Society Conference Proceedings, pp.479~483 (2006)
  42. Blair Wheaton, "Assessing Reliability and Stability in Panel Models", Sociological Methodology, 8, pp.84~ (1977), JSTOR[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (6건)