산업융합연구 (Journal of Industrial Convergence)

  • 제21권4호
  • /
  • Pages.13-22
  • /
  • 2023
  • /
  • 2635-8875(pISSN)
  • /
  • 2672-0124(eISSN)
대한산업경영학회 (DAEHAN Society of Industrial Management)
권호 표지
DOI QR코드

DOI QR Code

스마트워크에서 직무자율성이 창의적 행위에 미치는 영향

The Role of Job Autonomy Influencing on Creative Behavior in the Smart Work Context

  • Yong-Young Kim (Department of Business Administration, Konkuk University)
  • 투고 : 2023.01.25
  • 심사 : 2023.04.20
  • 발행 : 2023.04.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

COVID-19로 인해 기업은 재택근무와 유연근무를 확대하고, 스마트워크 공간을 확충하여 일하는 방식을 빠르게 변화시키고 있다. 스마트워크 상황에서 근로자는 자신이 수행하는 업무 방법, 업무 시간, 업무 장소 등을 선택하는 직무자율성이 향상되었다. 하지만 기존 연구는 스마트워크 상황을 반영하지 못하고 기존 직무자율성 개념과 측정도구를 여전히 사용하는 한계가 있다. 이러한 문제점을 극복하기 위해 본 연구는 스마트워크 환경에 적용가능한 직무자율성 유형(방법, 일정계획, 기준, 시간, 장소)을 도출하고, 5개 유형의 직무자율성이 창의적 행위에 통계적으로 유의한 정(+)의 영향을 준다는 점을 검증하였다. 본 연구는 전통적인 직무자율성 개념(방법, 일정계획, 기준)에 시간과 장소 유연성을 추가하여 스마트워크에서 적용 가능한 직무자율성을 유형화하고, 다차원의 직무자율성 검증을 통해 스마트워크의 운영 성과를 세분화하여 평가하는 근거를 제공하였다는데 시사점이 있다.

Due to COVID-19, organizations are rapidly changing the way they work by providing telecommuting and flexible work, and by expanding Smart Work spaces. In a Smart Work situation, workers have improved their job autonomy to choose their work methods, hours, and places. However, previous studies do not reflect the Smart Work situation and there are limitations to still using the previous job autonomy concept and measurements. To overcome these problems, this study derived job autonomy types such as methods, scheduling, criteria, time, and place applicable to Smart Work environments and verified that the five types of job autonomy have a statistically significant positive effect on Smart Workers' creative behavior. This study is meaningful in that it categorized job autonomy into five types applicable to Smart Work by adding temporal and spatial flexibility to the traditional job autonomy concept such as method, scheduling, and criteria autonomy and provided the basis for subdividing and evaluating the operation performance of Smart Work through multi-dimensional job autonomy verification.

키워드

과제정보

This paper was supported by Konkuk University in 2022.

참고문헌

  1. National Information Society Agency (2020). 2020 Smart Work Survey Results Report.
  2. E. Lee. (2020). Structural Change Caused by COVID-19: Accelerating the Digital Economy. Samil Issue Report. Samil PwC
  3. K. Hong, W. Lee, & S. Kim (2020), The Effects of Novel Engineering on Improvement of Creative Problem-Solving Ability, Journal of Industrial Convergence, 18(3), 83-89. DOI : 10.22678/JIC.2021.19.1.027
  4. K. Hong, W. Lee, & J. Yoo (2021), An Effects of Blended Novel Engineering on Improving Creative Problem-Solving Ability, Journal of Industrial Convergence, 19(1), 27-32. DOI : 10.22678/JIC.2021.19.1.027
  5. E. Ko, S. Lee & S. Kim (2018). Effects of Job Autonomy and Self-Efficacy on Creative Behavior: Focusing on the Mediation Effect of Knowledge Sharing in Smart Work Environment. Knowledge Management Review, 19(2), 163-186. DOI : 10.15813/kmr.2018.19.2.009
  6. P. van Dorseen-Boog, T. van Vuuren, J. de Jong, & M. Veld (2022), Healthcare Workers' Autonomy, Journal of Health Organization and Management, 36(9), 212-231. DOI : 10.1108/jhom-04-2022-0106
  7. M. Kim (2015). A Study on the Effect of Smartwork Environment on Office Administrators' Organizational Effectiveness: Moderated by Concerns and Work-Life Balance. The Journal of Society for e-Business Studies, 20(2), 37-71. DOI : 10.7838/jsebs.2015.20.2.037
  8. H. Kim & H. Oh (2018). Study on the Effects of Work Autonomy, Work Environment, and Innovation-oriented Culture on the Innovative Behavior of Public Servants. Journal of Social Science, 29(3), 243-266. DOI: 10.16881/jss.2018.07.29.3.243
  9. M. Kang, C. Jung, & Y. Chung (2013). An Empirical Study on the Factors Influencing the Acceptance of SmartWork. Management & Information Systems Review, 32(1), 19-41. DOI: 10.29214/damis.2013.32.1.002
  10. S. Oh, Y. Kim, H. Lee & J. Lee (2014). A Study on the Interferences Between Work and Nonwork in the Smart Work Context, Journal of Digital Convergence, 12(4), 213-226. DOI : 10.14400/JDC.2014.12.4.213
  11. S. H. Sohn (2013). A Study on the Effect of Information Security Awareness and Behavior of Job Autonomy and Burden and Mobility under Smart Work Environment. Korean Journal of Economics, 31(4). 17-39. UCI : G704-001204.2013.31.4.006
  12. Y. Kim & H. Shin (2012). A Study on the Effects of Group Characteristics of Smart Work Users on Intention to use Smart Work, The Journal of Digital Policy and Management, 10(11), 165-174. DOI : 10.14400/JDPM.2012.10.11.165
  13. J. R. Hackman & G. R. Oldham (1980). Work Redesign. Reading, MA: Addison-Wesley.
  14. J. A. Breaugh (1985). The Measurement of Work Autonomy. Human Relations, 38(6), 551-570. DOI : 10.1177/001872678503800604
  15. De Jonge, J., Landeweerd, J. H., & Van Breukelen, G. J. P. (1994). The Maastricht Autonomy List: Background, Construction and Validation. Gedrag & Organisatie, 7(1), 27-41
  16. Morgeson, F. P., & Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ): Developing and Validating a Comprehensive Measure for Assessing Job Design and the Nature of Work. Journal of Applied Psychology, 91(6), 1321-1339. DOI : 10.1037/0021-9010.91.6.1321
  17. Lee, J. W., Lee, H. J., and Lee, S. Y. (2013). A Study on the Development of an Assessment Framework for Smart Work Readiness, Informatization Policy, 20(2), 60-72.
  18. S. De Spiegelaere, G. Van Gyes & G. Van Hootegem (2016). Not All Autonomy is the Same. Different Dimensions of Job Autonomy and Their Relation to Work Engagement and Innovative Work Behavior. Human Factors and Ergonomics in Manufacturing & Service Industries, 26, 515-527. DOI : 10.1002/hfm.20666
  19. Y. Park, J. Lee, & Y. Lee (2014). A Study on Job Satisfaction of Smart Work Worker and Smart Work Continued Usage. The Journal of Society for e-Business Studies, 19(3), 23-49. DOI : 10.7838/jsebs.2014.19.3.023
  20. S. Jeong & Y. Shin (2018). A Study on the Analysis of Difference between IT and Non-IT Companies on the Smart Work Environment Continuous Use Intention. Journal of Digital Convergence, 16(3), 249-259. DOI : 10.14400/JDC.2018.16.3.249
  21. Y. Kwon & S. Nam (2021). The Effect of the Perception of SmartWork on the Work-Life Balance: Focused on Mediating Effect of Job Autonomy. The Journal of Korean Policy Studies, 21(3), 141-170. DOI : 10.46330/jkps.2021.9.21.3.141
  22. Deci, E. L., Connell, J. P., and Ryan, R. M. (1989). Self-determination in a Work Organization, Journal of Applied Psychology, 74(4), 580-590. DOI : 10.1037/0021-9010.74.4.580
  23. Amabile, T. M., Conti, R., Coon, H., Lazenby, J., and Herron, M. (1996). Assessing the Work Environment for Creativity, Academy of Management Journal, 39(5), 1154.-1184. DOI : 10.2307/256995
  24. Dewett, T. (2004). Employee creativity and the role of risk, European Journal of Innovation Management, 7(4), 257-266. DOI : 10.1108/14601060410565010
  25. Ko, D. Y. & Yoo, T. Y. (2012), The Effect of Job Autonomy on Innovation Behavior, Korean Journal of Industrial and Organizational Psychology, 25(1), 215-238. DOI : 10.24230/kjiop.v25i1.215-238
  26. Fonner, K. L. & Roloff, M. E. (2010). Why teleworkers are more satisfied with their jobs than are office-based workers, Journal of Applied Communication Research, 38(4), 336-361. DOI : 10.1080/00909882.2010.513998
  27. Zhou, J., & George, J. M. (2001). When Job Dissatisfaction Leads to Creativity, Academy of Management Journal, 44(4), 682-696. DOI : 10.2307/3069410
  28. Fornell, C., & Larcker, D.F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, 18(1), 39-50. DOI : 10.2307/3151312
  29. Gefen, D., Straub, D.W., & Boudreau, M.-C. (2000). Structural Equation Modeling and Regression, Communications of AIS, 4(7), 1-77. DOI : 10.17705/1CAIS.00407
  30. Steenkamp, J.-B.E.M., & van Trijp, H.C.M. (1991). The Use of LISREL in Validating Marketing Constructs, International Journal of Research in Marketing, 8(4), 283-299. DOI : 10.1016/0167-8116(91)90027-5
  31. Staples, D.S., Hulland, J.S., & Higgins, C.A. (1999). A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations, Organization Science, 10(6), 758-776. DOI : 10.1287/orsc.10.6.758
  32. Hayduk, L.A. (1987). Structural Equation Modeling with LISREL, Johns Hopkins University Press.
  33. Hu, L.-t., & Bentler, P.M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis, Structural Equation Modeling, 6(1), 1-55. DOI : 10.1080/10705519909540118