품질경영학회지 (Journal of Korean Society for Quality Management)

  • 제52권1호
  • /
  • Pages.149-172
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  • 2024
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  • 1229-1889(pISSN)
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  • 2287-9005(eISSN)
한국품질경영학회 (Korean Society for Quality Management)
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TOE 프레임워크를 활용한 RPA 도입 의도에 미치는 영향 요인 연구 - 중소기업 규모의 조절효과를 중심으로 -

A Study on Factors Affecting the Degree of RPA Patching Using the TOE Framework - Focusing on the Effect of Adjusting the Size of Small and Medium-sized Businesses -

  • 곽영기 (동국대학교 일반대학원 핀테크블록체인학과) ;
  • 이원부 (동국대학교 일반대학원 핀테크블록체인학과)
  • Kwak, Young-Ki (Dept. of Fintech and Blockchain, Dongguk University-Seoul) ;
  • Lee, Won-Boo (Dept. of Fintech and Blockchain, Dongguk University-Seoul)
  • 투고 : 2024.03.05
  • 심사 : 2024.03.14
  • 발행 : 2024.03.31
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초록

Purpose: By empirically analyzing factors that affect the intention to introduce RPA, we aim to increase understanding of RPA introduction in small and medium-sized businesses and contribute to establishing an effective introduction strategy. The aim is to improve the company's productivity, reduce costs, and strengthen its competitiveness. It also provides policy recommendations for the introduction of RPA. Methods: A survey was conducted to examine whether the technical, organizational, and environmental factors of the TOE framework had an impact on the intention to adopt RPA. We also used stepwise regression analysis to determine whether firm size moderates this relationship. Results: Technical factors, organizational factors, and environmental factors were all found to have a significant impact on small and medium-sized enterprises' intention to adopt RPA. It was confirmed that company size has a moderating effect affecting the intention to adopt RPA. In particular, customer pressure, relative advantage, competitive pressure, age, government support, and the perceived ease of use of RPA was a key determinant of its adoption by small and medium-sized enterprises. Conclusion: This suggests that small and medium-sized businesses should comprehensively consider technical, organizational, and environmental factors when introducing RPA. It is expected to increase understanding of RPA introduction in small and medium-sized businesses, contribute to establishing effective introduction strategies, and contribute to improving company productivity, reducing costs, and strengthening competitiveness.

키워드

참고문헌

  1. Agarwal, R., and Prasad, J. 2000. Are individual differences in general computer self-efficacy important for ERP adoption? Evidence from a longitudinal field study. Management Science 46(11):1447-1464. 
  2. Baron, R. M., and Kenny, D. A. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51(6):1173-1182.  https://doi.org/10.1037/0022-3514.51.6.1173
  3. Boston Consulting Group. 2019. A New Productivity Paradigm for the AI Era: Robotic Process Automation (RPA). 
  4. Chau, P. Y. K., and Tam, K. Y. 1997. Factors affecting the adoption of open systems. Journal of Management Information Systems 14(1):1-24.  https://doi.org/10.2307/249740
  5. Cho, Sung Kyu. 2019. Factors Influencing the Intentions of Small and Medium-sized Enterprises to Adopt Smart Factories: A Study on the Moderating Effect of Innovation Resistance. Doctoral Dissertation, Incheon National University. 
  6. Choi, Jae-Boong, and Kim, Sung-Kuk. 2023. Current Status and Prospects of Automation Solutions Using Artificial Intelligence Technology. Korea Institute of Industrial Management 22(1):225-252. 
  7. Choi, Jin Ah, and Lim, Seon Young. 2022. An Analysis of the Job Creation Effects of Startups According to Firm Size and Number of Employees. Korean Regional Development Association 34(2):1-22. 
  8. Choi, Jungmin, and Kim, Jungki. 2023. Factors Influencing Intention to Use Fintech Services: Focusing on User Experience and Perceived Value. Korea Economic Research Institute, Economic Research 55(2):47-72. 
  9. Deloitte. 2018. New Competitiveness in the Era of Artificial Intelligence, RPA. Seoul: Deloitte. 
  10. Deloitte. 2020. Automation through artificial intelligence: Key strategies for the future of enterprises. Deloitte:1-44. 
  11. Gangwar, H., and Gupta, S. 2015. An integrated model of TOE framework and perceived risk for adoption of e-commerce technology by SMEs. International Journal of Electronic Commerce 19(2):285-310. 
  12. Gartner. 2022. Robotic Process Automation (RPA) Market Trends. 
  13. Gil, Hyoung-Chul. 2019. Analysis of Factors Influencing the Intention to Adopt Smart Factory: Focused on Technological, Organizational, and Environmental Factors. Korea Institute of Industrial Management Studies, 2019-12. 
  14. Hada, S., and Oliveira, T. M. 2011. The impact of competitive pressure on the adoption of green technologies. Journal of Business Ethics 104(2):207-224.  https://doi.org/10.1007/s10551-011-0899-5
  15. Heilala, J., and Kaariainen, J. 2020. Robotic process automation in accounting: An empirical study of perceived benefits, challenges, and the role of consulting firms. International Journal of Accounting Information Systems 38:100456. 
  16. Iacovou, C. C., Benbasat, J. F., and Dexter, G. D. 1995. Factors influencing the adoption of electronic data interchange (EDI) by small businesses. Information Systems Research 6(2):147-171. 
  17. Kim, Cheol-Soo, and Park, Ji-Young. 2023. A Study on the Establishment and Operation of Quality Management Systems for Small and Medium-sized Enterprises. Proceedings of the Spring Conference of the Korean Society for Quality Management: 235-242. 
  18. Kim, Jung-Ki, and Lee, Jung-Hoon. 2022. The Impact of Competitive Pressure on Technological Environment, Organizational Environment, and Intention to Adopt Smart Factories in Manufacturing Firms. Korean Society of Industrial Management 33(3):129-154. 
  19. Kim, Ki-Bong. 2019. Economic Analysis of Automation Solutions Utilizing Artificial Intelligence Technology. Korea Economic Research Institute, 2019-16. 
  20. Kim, Minjeong, and Park, Jiyoung. 2023. Strategy for Introducing AI-based RPA for Enhancing Competitiveness of Financial Institutions in the Era of the Fourth Industrial Revolution: Case Study. Research Report of the Korea Industrial Human Resources Development Corporation 2023-11. 
  21. Kim, Sung-Tae. 2021. A Study on the Factors Influencing the Intention to Adopt Smart Factory: Focusing on the Moderating Effect of Innovation Resistance. Ph.D. Dissertation, Incheon National University. 
  22. Kim, Tae-Hyung, and Lee, Jung-Hoon. 2022. Factors Influencing the Adoption of Smart Factories: Focusing on Technological Compatibility, Organizational Compatibility, and Individual Compatibility. Korean Management Science Association 43(4):1117-1143. 
  23. Kim, Tae-Hyung, and Park, Chan-Wook. 2022. The Impact of Government Support Policies on the Adoption of Smart Factories by Manufacturing Firms: Focusing on the Moderating Effects of Technological Environment and Organizational Environment. Korea Institute of Industrial Economics and Trade, KIER Discussion Paper 2022-04. 
  24. Kim, Taehyung. 2017. The Moderating Effect of Small and Medium-sized Enterprise (SME) Size on the Relationship between Sub-factors of Technological, Organizational, and Environmental Frameworks and Intention to Adopt New Technologies. Korean Management Association, Management Research 48(2):349-375. 
  25. Kim, Yongseok. 2018. A Study on the Relationship between CEO Support, ICT Utilization Capability, Economic Performance, and Intention to Adopt New Technologies: Focusing on Organizational Factors. Journal of the Korea Management Information Society 27(4):1-24. 
  26. Korea Employment Information Service (KEIS). 2023. Trends and Prospects of Automation Technology in 2023. Research Report.
  27. Korean Software Industry Association. 2023. Outlook for the Domestic RPA Market in 2023. 
  28. Kwon, Taehyun. 2020. Organizational Factors Influencing the Intention to Adopt Hybrid Cloud: Focusing on Economic Performance and IT Capabilities. Korean Association for Information Systems. Journal of Information Systems Research 27(4):153-174. 
  29. Lee, Dong-Man, Kim, Yong-Hwan, and Kim, Jong-Won. 2010. Development of Organizational Economic Value Evaluation Model According to Technology Adoption. Journal of the Korea Information System Society 17(6):103-122. 
  30. Lee, Ho. 2023. Current Status of RPA Adoption and Analysis of Problems in SMEs. Korean Journal of Industrial Management 24(2):1-20. 
  31. Lee, Jae Hwa, and Shin, Yun Young. 2023. The Impact of Firm Size and Number of Employees on the Digital Transformation of SMEs. Korea Institute of Industrial Economics and Management 44(2):179-206. 
  32. Lee, Jeonghoon, and Kim, Sungho. 2022. Quality Management Strategies of Small and Medium-sized Enterprises in the Fourth Industrial Revolution Era: A Study Based on the TOE Framework. Korean Society for Quality Management 40(2):1-18. 
  33. Lee, Ji-Hyun. 2020. Importance of Changes in Corporate Competitive Environment and Innovation and Efficiency Enhancement. Journal of the Korean Industrial Management Association, 2020 Research Papers 31(4):1-12. 
  34. Lee, Jiyeong, and Lee, Junghoon. 2023. Case Study on Business Automation in Front-line Departments Using RPA Technology: Focus on the Manufacturing Industry. Research Report of the Korea Industrial Human Resources Development Corporation 2023-10. 
  35. Lee, Jonggeun. 2023. The Impact of Continued Usage Intention and Adoption Performance on Smart Factory: Focusing on Technological, Organizational, and Environmental Factors. Journal of the Korean Society for Production Management, Production Management Research 34(4):45-64. 
  36. Lee, Jung-Hoon. 2020. Development of Artificial Intelligence Technology and Changes in Digital Labor: Embracing a New Era of Labor. Korea Labor Institute, December 2020, Vol. 2020-12:23-25. 
  37. Lee, Kwang Ho, and Kang, Sung Kyu. 2019. A Study on Innovation Activities According to Firm Size and Number of Employees. Korean Management Review 44(4):597-624. 
  38. Lee, Se Jin, and Lee, Young Ju. 2017. The impact of firm size on social responsibility and firm performance of SMEs: Focusing on the number of employees. Korean Management Review 42(3):469-497. 
  39. Lee, Yong-Ha. 2019. Analysis of Factors Influencing the Adoption of Mobile Financial Services Using the Technology-Organization-Environment (TOE) Framework. Journal of the Korea Contents Association 19(5):71-83. 
  40. McKinsey Global Institute. 2019. Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. 
  41. Ministry of SMEs and Startups. 2023. Basic Statistics of Small and Medium-sized Enterprises (SMEs) as of 2021. 
  42. No, Du-Hwan, and Hwang, Kyung-Ho. 2019. Evolution and Challenges of the Definition of Small and Medium-sized Enterprises. Small and Medium Enterprise Institute, 2019-01. 
  43. Oliveira, T. A., and Martins, M. F. 2014. The drivers of green technology adoption: A study of the Portuguese pulp and paper industry. Journal of Cleaner Production 71:176-187. 
  44. Oliveira, T., and Martins, L. L. 2011. Understanding the adoption of open source software in public administrations: A technology-organization-environment framework. Government Information Quarterly 28(2):243-254. 
  45. Park, Chan-Wook, and Kim, Sung-Ho. 2019. Factors Influencing the Adoption of Artificial Intelligence Technology in the Service Industry: Focusing on Customer Demand for Personalized Services and Intensifying Competition. Korea Institute of Industrial Economics and Trade, KIER Discussion Paper. 
  46. Park, Chan-Wook. 2021. Analysis of the Current Status and Issues of RPA Adoption in Small and Medium-sized Enterprises: Exploring Strategies for Successful Implementation. Korean Institute of Industrial Management Research 22(1):225-252. 
  47. Park, Jiyoung. 2021. The Impact of Enterprise Size on Environmental Factors and Intention to Adopt New Technologies: Focusing on Government Support, Competitive Pressure, and Customer Pressure." Korean Institute of Industrial Management Research 24(4):1-24. 
  48. Park, Jongmin, and Lee, Jeonghoon. 2022. Open Innovation Strategy for Enhancing Innovation Capability of Small and Medium-sized Enterprises: A Study Based on the TOE Framework. Korean Society for Quality Management 47(2):1-20. 
  49. Park, Soo-Jin, and Jung, Eui-Cheol. 2016. A Study on Research and Development (RandD) Investment Types by Enterprise Size: Focused on the Number of Employees. Korea Institute of Industrial Management Studies, 2016-02:1-28. 
  50. Park, Young Cheol, and Son, Min Ji. 2018. Technology Transfer Behavior of SMEs: Focusing on the Effects of Firm Size and Number of Employees. Journal of Technology Innovation 25(6):1049-1068. 
  51. Rogers, E. M. 2003. Diffusion of innovations (5th ed.). New York: Free Press. 
  52. Samjong KPMG. 2017. RPA Adoption Strategy for Enhancing Corporate Competitiveness in the Age of Artificial Intelligence. Samjong KPMG:1-45. 
  53. Small and Medium Business Administration. 2022. An Easy-to-Understand Explanation of Small and Medium-sized Enterprise Categories. 
  54. Song, J. J. 2009. The Relationship between Customer Satisfaction and Repurchase Intention: Focused on Medical Tourism Industry. Korean Journal of Business Administration 43(2):451-477. 
  55. Tornatzky, L. G., and Fleischer, M. 1990. The processes of technological innovation. Lexington, MA: Lexington Books. 
  56. Tornbohm, H. 2017. Robotic process automation: A primer. Apress. 
  57. Woo, Soon-Kyu, Kim, Jong-Ho, and Kim, Yong-Hwan. 2018. Factors Influencing the Adoption of Cloud Computing in Public Agencies: A Focus on the TOE Framework. Journal of the Korea Information Management Society 35(1):1-20. 
  58. Zhu, K., Kraemer, K. L., and Xu, S. X. 2004. The influence of institutional factors on e-commerce adoption: A cross-country analysis. Journal of Management Information Systems 21(2):177-207.