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여객자동차운송사업의 디지털 트랜스포메이션 수용의도에 대한 기업민첩성의 조절효과 연구

A Study on the Adjustment Effect of Corporate Agility on the Intention to Accept Digital Transformation in Passenger Transportation Business

  • 백운흥 (호서대학교 벤처대학원) ;
  • 이소영 (호서대학교 벤처대학원)
  • Baek, Woon-heung (Graduate School of Ventures, Hoseo University, Department of Information Management) ;
  • Lee, So-young (Graduate School of Venture, Hoseo University)
  • 투고 : 2024.08.26
  • 심사 : 2024.09.23
  • 발행 : 2024.09.30

초록

본 연구는 여객자동차운송사업에서 디지털 트랜스포메이션(Digital Transformation) 도입 시 수용 의도에 영향을 미치는 요인을 실증적으로 분석하고, 기업 민첩성의 조절 효과를 검토하였다. 연구는 기술수용모형(TAM)과 기술-조직-환경(TOE) 모형을 바탕으로 도입 유용성, 도입 용이성, 디지털 전환 역량, 최고경영자 지원, 고객 요구, 경쟁 압력을 독립 변수로 설정하였고, 기업 민첩성을 조절 변수로 설정해 316개의 유효 표본을 분석하였다. 분석 결과, 도입 용이성, 디지털 전환 역량, 최고경영자 지원, 고객 요구, 경쟁 압력은 모두 디지털 트랜스포메이션 수용 의도에 유의미한 영향을 미쳤으며, 특히 디지털 전환 역량이 가장 큰 영향을 미쳤다. 이는 기업이 디지털 기술을 효과적으로 활용하는 능력이 디지털 트랜스포메이션 성공의 필수 요소임을 시사한다. 반면, 도입 유용성은 수용 의도에 유의한 영향을 미치지 않았는데, 이는 디지털 트랜스포메이션 도입 시 비용과 리스크에 대한 우려가 더 큰 영향을 미칠 수 있음을 의미한다. 또한, 기업 민첩성은 수용 의도와 독립 변수 간의 관계에서 긍정적인 조절 효과를 나타냈으며, 민첩한 기업일수록 디지털 트랜스포메이션 도입 과정에서 발생하는 도전 과제를 효과적으로 해결할 수 있음을 보여주었다. 특히, 기업 민첩성이 높을 경우 도입 유용성의 영향이 긍정적으로 변화하는 것으로 나타났다. 본 연구는 여객자동차운송사업에서 디지털 트랜스포메이션을 체계적으로 분석한 첫 시도로서 학문적 의의가 크며, 실무적으로는 디지털 전환 역량과 최고경영자 지원의 중요성을 확인했다. 다만, 연구 범위가 여객자동차운송사업에 한정되어 일반화에 한계가 있으므로, 향후 다양한 업종과 분야로 확대된 연구가 필요하다.

This study empirically analyzed the factors affecting acceptance intention when introducing digital transformation in the passenger vehicle transportation business, and examined the moderating effect of corporate agility. Based on the technology acceptance model (TAM) and the technology-organization-environment (TOE) model, the study set introduction usability, ease of introduction, digital transformation capability, CEO support, customer demand, and competitive pressure as independent variables, and 316 effective samples were analyzed by setting corporate agility as a modulating variable. As a result of the analysis, ease of introduction, digital transformation capability, CEO support, customer demand, and competitive pressure all had a significant influence on the intention to accept digital transformation, and in particular, digital transformation capability had the greatest influence. This suggests that the ability of companies to effectively utilize digital technology is an essential factor in the success of digital transformation. On the other hand, the usefulness of introduction did not significantly affect the intention to accept, which means that concerns about costs and risks can have a greater impact on the introduction of digital transformation. In addition, corporate agility showed a positive moderating effect in the relationship between acceptance intention and independent variables, and it was shown that the more agile the company can effectively solve the challenges that arise in the process of introducing digital transformation. In particular, when corporate agility is high, the effect of usefulness of introduction changes positively. This study is the first attempt to systematically analyze digital transformation in the passenger vehicle transportation business, and in practice, it has great academic significance and confirmed the importance of digital transformation capabilities and CEO support. However, since the scope of the study is limited to the passenger vehicle transportation business, there is a limit to generalization, research expanded to various industries and fields is needed in the future.

키워드

참고문헌

  1. 강광민, 김형철(2022). 소상공인의 디지털 역량이 경영성과에 미치는 영향. 기업경영리뷰, 13(1), 37-52.
  2. 김경호(2022). 중소기업의 성과에 영향을 미치는 디지털 역량과 디지털 리더십에 관한 연구. 디지털융합논문지, 8(2), 37-49.
  3. 김근아, 김상현(2013). 기업 내적 IT 자원이 기업 민첩성과 성과에 미치는 영향: 관리적 IT 능력과 경영진 존재의 조절효과. 한국경영정보학회, 15(3), 39-69.
  4. 김민형(2023). 이동을 편리하게 하는 새로운 기술을 기반한 모빌리티 서비스 동향. 정보와 통신, 40(6), 30-38.
  5. 김선희(2017). 프랜차이즈 가맹점주의 개인특성 및 기업가 정신과 경영성과 인식과의 관계 분석 연구. In Proceedings of the Korea Technology Innovation Society Conference, Korea Technology Innovation Society, 713-729.
  6. 김요한, 정관성, 이장석(2023). 소셜미디어 도서정보 이용의도의 영향 요인에 대한 연구: 혁신확산이론, 기술수용모델, 혁신 저항이론의 통합모형을 중심으로. 문화산업연구. 23(3), 145-153.
  7. 김태형, 이석주, 김성훈, 조정우, 이성영, 김동욱, 노형우, 박형근(2023). 한국형 통합모빌리티(K-MaaS) 추진전략 및 활성화 방안. 한국교통연구원, 기본 RR-02-03.
  8. 김지연, 안성희(2022). 가치소비 장려를 위한 플랫폼 서비스 연구. 한국HCI학회 학술대회논문집, 648-652.
  9. 김창호(2020). 제조기업구성원의 디지털전환(DX) 인식이 디지털기술 수용에 미치는 영향. 무역연구, 16(4), 341-358.
  10. 김형철(2021). 창업가의 디지털역량이 인지된 창업성과에 미치는 영향. 한국경영학회 융합학술대회논문집, 604-620.
  11. 국토통계포털, https://kosis.kr/index/index.do/
  12. 박원일, 유연승(2022). 4차 산업혁명 시대 버스산업 발전방안 연구. 한국운수산업연구원, 기본연구, 22-1.
  13. 박현지, 이강원, 진승후(2020). 코로나와 디지털 전환 가속화(Post-Digital). NRF ISSUE REPORT, 2020_13.
  14. 서용선(2021). 중소제조기업의 환경 불확실성 인식이 조직 민첩성과 경영성과에 미치는 영향에 관한 연구. 숭실대학교 대학원 박사학위 논문.
  15. 손승우, 한정완(2022). 공유 가치 창출형 비즈니스 모델 캔버스 제안 및 평가. 한국과학예술융합학회. 40(3), 181-190.
  16. 송창송(2022). 디지털 기술수용이 비즈니스모델혁신과 수출성과에 미치는 영향 연구. 부경대학교 기술경영전문대학원박사학위논문.
  17. 유연승(2020). 철도망 확대가 버스산업에 미치는 영향과 대응방안. 한국운수산업연구원, 기본연구, 20-2.
  18. 유연승, 조규석(2021). 코로나 19에 따른 버스산업의 변화와 그 대응 방안. 한국운수산업연구원, 기본연구, 21-2.
  19. 유재현, 박철 (2010). 기술수용모델(Technology Acceptance Model) 연구에 대한 종합적 고찰. 엔트루정보기술연구소, 9(2), 31-50.
  20. 이애화(2016). 전문대학생의 디지털 역량과 직업기초능력의 관계에서 자기조절학습능력의 매개 효과:학습양식별 다중집단분석의 적용. 계명대학교 대학원 박사학위 논문.
  21. 이언주, 허철무.(2020). 청년창업 농촌기업의 CEO특성과 지원정책이 기업성과에 미치는 영향: ICT 환경특성의 조절효과를 중심으로. 벤처창업연구, 15.2, 137-151.
  22. 이장균, 허철무(2022). 중소기업의 최고경영자 특성, 국제인증 획득, 수출지원제도의 활용도가 수출성과에 미치는 영향 연구. 국제경영리뷰, 26(4), 107-121.
  23. 이정기, 최믿음, 박성복 (2012). 대학생들의 신문 이용동기와 기술수용모델 변인이 유료 모바일 뉴스 콘텐츠 수용의도에 미치는 영향. 미디어 경제와 문화, 10(3), 129-172.
  24. 이재신, 이민영 (2006). 확장된 기술수용모델을 이용한 IPTV의 수용의도에 영향을 미치는 요인들에 대한 연구. 방송과커뮤니케이션, 7(1), 100-131.
  25. 이준영(2020). 코로나가 시장을 바꾼다. 경기: 21세기북스.
  26. 전은정, 김명종, 유승동(2020). 조직민첩성과 학습민첩성이 잡크래프팅에 미치는 영향: 팀 학습행동의 조절효과. 호텔경영학연구, 29(8), 241-258.
  27. 조영삼, 박지환 (2020). 변화지향 리더십과 직무열의 및 직무만족의 관계 연구: IT 인프라관리 역량의 조절효과. 인터넷전자상거래연구, 20(1), 31-46.
  28. 조철호(2017). SPSS/AMOS활용 구조방정식모형 논문통계분석. 서울, 도서출판청람.
  29. 철도통계연보, https://www.kric.go.kr/
  30. 최운지, 박주경(2023). 중소석유화학기업의 최고경영자의 지원과 품질경영활동이 기업성과에 미치는 영향 연구: 혁신문화의 매개효과를 중심으로. 한국산학기술학회논문지, 24.2, 164-175.
  31. AAB, T. P., Murphy, P. M. S. N., & French, E. M. S. N. (2016). A case review: Integrating Lewin's theory with lean's system approach for change. Online Journal of Issues in Nursing, 21(2), 1-13.
  32. Aibar-Guzman, B., & Frias-Aceituno, J. V. (2021). Is it necessary to centralize power in the CEO to ensure environmental innovation?. Administrative Sciences, 11(1), 27.
  33. Anastasiya, Alekseevna, Napalkova, Anatol'evna, Loboda.(2022). Client-centered approach to enterprise management in conditions of digital business transformation. Vestnik of Astrakhan State Technical University Series: Economics, 36-45.
  34. Arteta, B. M., & Giachetti, R. E.(2004). A measure of agility as the complexity of the enterprise system. Robotics and Computer-Integrated Manufacturing, 20(6), 495-503.
  35. Benaroch, M., Lichtenstein, Y., & Robinson, K. (2006). Real options in information technology risk management: An empirical validation of risk-option relationships. MIS Quarterly, 30(4), 827-864.
  36. Berman, S. J., & Bell, R(2011). Digital transformation: Creating new business models where digital meets physical. IBM Global Business Services Executive Report.
  37. Bouaguel, W., & Alsulimani, T. (2022). Understanding the factors influencing consumers' intention toward shifting to solar energy technology for residential use in Saudi Arabia using the technology acceptance model. Sustainability, 14(18). https://doi.org/10.3390/su141811356
  38. Carvalho, L., Sternberg, A., Maia Goncalves, L., Beatriz Cruz, A., Soares, J. A., & Ogasawara, E. (2021). On the relevance of data science for flight delay research: A systematic review. Transport Reviews, 41(4), 499-528.
  39. Chhavi Jatana, C.(2022). Corporate governance, CEO compensation, and corporate performance: evidence from India. Corporate Governance: The International Journal of Business in Society, 23(1), 132-168.
  40. Christopher, M. (2000). The agile supply chain: Competing in volatile markets. Industrial Marketing Management, 29(1), 37-44.
  41. Cronin, M. J. (2000). Unchained Value: The New Logic of Digital Business. Boston, MA: Harvard Business School Press.
  42. Damanpour, F.(1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555-590.
  43. Davis, F. D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-339.
  44. Ferrari, A. (2012). Digital Competence in Practice: An Analysis of Frameworks. Publications Office of the European Union.
  45. Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, DOI:https://doi.org/10.1016/j.jii.2019.100107
  46. Grover, V.(1993). An empirically derived model for the adoption of customer-based interorganizational systems. Decision sciences, 24(3), 603-640.
  47. Guled, A. (2022). Digital transformation for improving customer experience. Advances in Marketing, Customer Relationship Management, and E-Services Book Series.
  48. Hayes, A. H. (2017), Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-Based Approach. Guilford publications.
  49. Ilomaki, L., Kantosalo, A., & Lakkala, M. (2011). What is digital competence? Retrieved August 5, 2015, from http://linked.eun.org/c/document_library/get_file?p_l_id=16319&folderId=22089&name=DLFE-711.pdf
  50. Jinhong, G., Lishan, X., & Jiamin, P. (2014). How travel service dishonesty affects customer trust: The role of psychological contract violation and corporate reputation. Tourism Tribune, 29(4), 55
  51. Kanter, R. M.(1988). Three tiers for innovation research. Communication Research, 15(5), 509-523.
  52. Katayama H. & Bennett, D.(1999). Agility, adaptability and leanness: A comparison of concepts and a study of practice. International Journal of Production Economics, 60-61, 43-51.
  53. Kearney. (2020). Transformation to succeed in the digital age. https://www.kearney.com/transformation-to-succeed-in-the-digital-age
  54. Kim, S., & Ha, T. J. (2023). Influential variables and causal relations impact on innovative performance and sustainable growth of SMEs in aspect of Industry 4.0 and digital transformation. Sustainability, 15(9), 7310. https://doi.org/10.3390/su15097310
  55. Kim, K. Y., Eisenberger, R., & Baik, K.(2017). Perceived organizational support and organization performance: HR, CEO, and industry influences. In Academy of Management Proceedings
  56. Kotler, P.(2012). Kotler on Marketing. Simon and Schuster.
  57. Kwak, S. Y., Cho, W. S., Seok, G. A., & Yoo, S. G.(2020). Intention to use sustainable green logistics platforms. Sustainability, 12(8), 1-17.
  58. Lin, H. F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology-organization-environment framework. Technological Forecasting & Social Change, 86, 80-92.
  59. March, j.(1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87.
  60. Maslow, A. H.(1943). Preface to motivation theory. Psychosomatic Medicine, 5(1), 85-92.
  61. Mathieson, K.(1991). Predicting user intentions : Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
  62. Mazzarol, T., & Reboud, S.(2020). Innovation in small firms. Entrepreneurship and Innovation: Theory, Practice and Context, 131-164.
  63. Miguel, P. M. D., De-Pablos-Heredero, C., Montes, J. L., & Garcia, A. (2022). Impact of dynamic capabilities on customer satisfaction through digital transformation in the automotive sector. Sustainability, 14(8), https://doi.org/10.3390/su14084772.
  64. Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11-25.
  65. Noh, K. S.(2020). Digital Small Giants. KPC.
  66. Okumus, B., Bilgihan, A., & Ozturk, A. (2015). Factors affecting the acceptance of smartphone diet applications. Journal of Hospitality Marketing & Management, 25(6), 1-22.
  67. Oliveira, T., & Martins, M. F.(2010). Understanding e-business adoption across industries in European countries. Industrial Management & Data Systems, 110(9), 1337-1354.
  68. Osburg, V.-S., Yoganathan, V., Brueckner, S., & Toporowski, W.(2020). How detailed product information strengthens eco-friendly consumption. Management Decision, 58(6), 1084-1099.
  69. Porter, M. E., & Millar, V. E.(1985). How information gives you competitive advantage. Harvard Business Review, 63(4), 149-160.
  70. Ramamurthy, K., Premkumar, G., & Crum, M. R.(1999). Organizational and interorganizational determinants of EDI diffusion and organizational performance: A causal model. Journal of Organizational Computing and Electronic Commerce, 9(4), 253-285.
  71. Sangari, M. S., & Razmi, J.(2015). Business intelligence competence, agile capabilities, and agile performance in supply chain. The International Journal of Logistics Management, 26(2), 356-380.
  72. Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 27(2), 237-263.
  73. Sarkis, J. (2001). Benchmarking for agility. Benchmarking: An International Journal, 8(2), 88-107.
  74. Schniederjans, D. G., & Yadav, S. (2013). Successful ERP implementation: An integrative model. Business Process Management Journal, 19(2), 346-398.
  75. Shin, J. W., Seo, M. K., & Lew, Y. K.(2022). Sustainability of digital capital and social support during COVID-19: Indonesian muslim diaspora's case in South Korea. Sustainability, 14(12), DOI: 10.3390/su14127457.
  76. Tallon, P. P., & Pinsonneault, A.(2011). Competing perspectives on the link between strategic information technology alignment and organizational agility: insights from a mediation model. MIS quarterly, 463-486.
  77. Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
  78. Tornatzky, L. G., Fleischer, M. & Chakrabarti, A. K.(1990) The Process of Technological Innovation, Lexington Books.
  79. Treacy, M., & Wiersema, F. (1993). Customer intimacy and other value disciplines. Harvard Business Review, 71(1), 84-93.
  80. Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
  81. Venkatesh, V. & Bala, H. (2008), Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273-315.
  82. Wang, G., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T.(2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.
  83. Westerman, G., Calmejane, C., Bonnet, D., Ferraris, P., & McAfee, A.(2011). Digital Transformation: A Roadmap for Billion-dollar Organizations. 2011 MIT Center for Digital Business and Capgemini Consulting.
  84. Wibisono, G., & Ang, S. Y. (2019). Intention to use voluntary disclosure information on social media for investment decisions: Analysis using perceived ease of use and perceived usefulness. Indonesian Journal of Sustainability Accounting and Management, 3(2), 95-106.
  85. Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B.(2020). Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among malaysian SMEs. International Journal of Information Management, 52, https://doi.org/10.1016/j.ijinfomgt.2019.08.005
  86. Yang, L, Jiang, Y., Zhang, W., Zhang, Q., & Gong, H.(2020). An empirical examination of individual green policy perception and green behaviors. International Journal of Manpower, 41(7), DOI: 10.1108/IJM-09-2019-0455.
  87. Yang, Q., Jiao, H., Song, F., Pan, G., & Wei, D.(2017). Customer requirement acquisition system and requirement expression guidance based on ant colony optimization. Advances in Mechanical Engineering, 9(6), DOI: 1687814017704412.
  88. Zhong, M., & Amponstira, F.(2021). Influence of top management supports on informationization performance: Based on the mediating role of informationization strategy. International Business Research, 14(11), 1-71.
  89. Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L.(2006). Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601-616.