기업이 현존하는 다양한 비즈니스와 IT 프로세스 개선을 위해서 많은 시간과 비용을 들이지 않고도, 선제적으로 4차 산업 혁명에 대응하기 위해 최근 각광받고 있는 것이 RPA(Robotic Process Automation) 기술이다. 본 연구에서는 RPA의 사용의도에 영향을 미치는 변인들을 긍정적인 요인 세 가지와 부정적인 요인 세 가지로 대표성 있게 식별하고, 이러한 변인들이 실제 RPA 수용의도에 미치는 영향의 인과관계를 살펴보았다. 일반 사무근로자를 대상으로 이메일 설문조사를 실시한 후, SPSS 27.0와 SmartPLS 3.3.5를 이용하여서 구조방정식 분석을 수행하였다. 보안성, 정확성, 효율성으로 이루어진 긍정적 지각과 고용불안, 실행오류, 도입실패염려로 이루어진 부정적 지각이 2차 요인으로 구성되었으며, 지각된 유용성과 지각된 용이성을 매개로 긍정적 지각이 RPA 사용의도에 영향을 미쳤으며, 부정적 지각이 수용갈등을 매개로 RPA 사용의도에 영향을 미치는 것을 확인하였다. 또한, RPA 사용 경험의 유무가 지각된 용이성과 상호작용하여서 RPA 사용의도에 조절효과를 미치는 것을 확인하였다. RPA를 사용하려는 기업의 입장에서 어떤 요인이 중요한지 인식하고 대응할 수 있도록 한 점에서 지식경영관점의 실무적이며 이론적인 의의가 있다고 할 수 있다.
기업이 현존하는 다양한 비즈니스와 IT 프로세스 개선을 위해서 많은 시간과 비용을 들이지 않고도, 선제적으로 4차 산업 혁명에 대응하기 위해 최근 각광받고 있는 것이 RPA(Robotic Process Automation) 기술이다. 본 연구에서는 RPA의 사용의도에 영향을 미치는 변인들을 긍정적인 요인 세 가지와 부정적인 요인 세 가지로 대표성 있게 식별하고, 이러한 변인들이 실제 RPA 수용의도에 미치는 영향의 인과관계를 살펴보았다. 일반 사무근로자를 대상으로 이메일 설문조사를 실시한 후, SPSS 27.0와 SmartPLS 3.3.5를 이용하여서 구조방정식 분석을 수행하였다. 보안성, 정확성, 효율성으로 이루어진 긍정적 지각과 고용불안, 실행오류, 도입실패염려로 이루어진 부정적 지각이 2차 요인으로 구성되었으며, 지각된 유용성과 지각된 용이성을 매개로 긍정적 지각이 RPA 사용의도에 영향을 미쳤으며, 부정적 지각이 수용갈등을 매개로 RPA 사용의도에 영향을 미치는 것을 확인하였다. 또한, RPA 사용 경험의 유무가 지각된 용이성과 상호작용하여서 RPA 사용의도에 조절효과를 미치는 것을 확인하였다. RPA를 사용하려는 기업의 입장에서 어떤 요인이 중요한지 인식하고 대응할 수 있도록 한 점에서 지식경영관점의 실무적이며 이론적인 의의가 있다고 할 수 있다.
RPA (Robotic Process Automation) technology has recently been spotlighted to preemptively respond to the 4th industrial revolution without spending a lot of time and money to improve various existing business and IT processes. In this study, variables affecting intention to use RPA technology were r...
RPA (Robotic Process Automation) technology has recently been spotlighted to preemptively respond to the 4th industrial revolution without spending a lot of time and money to improve various existing business and IT processes. In this study, variables affecting intention to use RPA technology were representatively identified into three positive factors and three negative factors, and the causal relationship between the effects of these variables on actual RPA acceptance intention was examined. After conducting an email survey for general office workers, structural equation analysis (SEM) was performed using SPSS 27.0 and SmartPLS 3.3.5. The second order factor of a positive perception consisting of security, accuracy, and efficiency, and the second order factor of a negative perception consisting of job security, execution error, and fear of introduction failure. The positive perception affected the intention to use RPA through perceived usefulness and perceived ease. It was confirmed that the negative perception has a mediating effect on the intention to use RPA through acceptance conflict. In addition, it was confirmed that the presence or absence of experience in using RPA interacts with perceived ease and has a moderating effect on intention to use RPA. It can be said that there is practical and theoretical implications from the point of view of knowledge management in that it allows companies to recognize and respond to which factors are important from the point of view of companies that want to use RPA.
RPA (Robotic Process Automation) technology has recently been spotlighted to preemptively respond to the 4th industrial revolution without spending a lot of time and money to improve various existing business and IT processes. In this study, variables affecting intention to use RPA technology were representatively identified into three positive factors and three negative factors, and the causal relationship between the effects of these variables on actual RPA acceptance intention was examined. After conducting an email survey for general office workers, structural equation analysis (SEM) was performed using SPSS 27.0 and SmartPLS 3.3.5. The second order factor of a positive perception consisting of security, accuracy, and efficiency, and the second order factor of a negative perception consisting of job security, execution error, and fear of introduction failure. The positive perception affected the intention to use RPA through perceived usefulness and perceived ease. It was confirmed that the negative perception has a mediating effect on the intention to use RPA through acceptance conflict. In addition, it was confirmed that the presence or absence of experience in using RPA interacts with perceived ease and has a moderating effect on intention to use RPA. It can be said that there is practical and theoretical implications from the point of view of knowledge management in that it allows companies to recognize and respond to which factors are important from the point of view of companies that want to use RPA.
Ashford, S. J., Lee, C., & Bobko, P. (1989). Content, cause, and consequences of job insecurity: A theory-based measure and substantive test. Academy of Management Journal, 32(4), 803-829.
Buellingen, F., & Woerter, M. (2004). Development perspectives, firm strategies and applications in mobile commerce. Journal of business Research, 57(12), 1402-1408.
Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford University Press.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27). Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Sage Publications, Sage CA: Los Angeles, CA.
Greenhalgh, L., & Rosenblatt, Z. (1984). Job insecurity: Toward conceptual clarity. Academy of Management Review, 9(3), 438-448.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. doi:10.1108/EBR-10-2013-0128
Hallikainen, P., Bekkhus, R., & Pan, S. L. (2018). How OpusCapita used internal RPA capabilities to offer services to clients. MIS Quarterly Executive, 17(1), 41-52.
Han, C. K., Lee, S. K., & You, Y. Y. (2016). The effect of intension to use biometric-based non-face-to-face authentication system in financial transactions-Focusing on extended UTAUT model. Indian Journal of Science and Technology, 9(40), 1-13.
Lacity, M., & Willcocks, L. (2016). Robotic process automation at Telefonica O2. MIS Quarterly Executive, 15(1), 21-35. https://aisel.aisnet.org/misqe/vol15/iss1/4
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
Lee, H. Y., Ahn, H., & Han, I. (2007). VCR: Virtual community recommender using the technology acceptance model and the user's needs type. Expert Systems with Applications, 33(4), 984-995.
Lee, M. K., Kiesler, S., Forlizzi, J., Srinivasa, S., & Rybski, P. (2010). Gracefully mitigating breakdowns in robotic services. 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 203-210.
Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer. Routledge.
Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39(2), 230-253.
Taiwo, A. S. (2010). The influence of work environment on workers productivity: A case of selected oil and gas industry in Lagos, Nigeria. African Journal of Business Management, 4(3), 299-307.
Thibodeau, R., & Aronson, E. (1992). Taking a closer look: Reasserting the role of the self-concept in dissonance theory. Personality and Social Psychology Bulletin, 18(5), 591-602. doi:10.1177/0146167292185010
AI-Helper
※ AI-Helper는 부적절한 답변을 할 수 있습니다.