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The Impact of the Manufacturing AI Introduction Environment on Technology Trust and Intention to Utilize: Focusing on the TOE Framework

제조AI 도입환경이 기술신뢰와 활용의도에 미치는 영향에 관한 연구: TOE 프레임워크를 중심으로

  • Wan-Soo Lim (Dept. of Convergence Industry, Seoul Venture University) ;
  • Hyeon-Suk Park (Dept. of Convergence Industry, Seoul Venture University)
  • 임완수 (서울벤처대학원대학교 융합산업학과) ;
  • 박현숙 (서울벤처대학원대학교 융합산업학과)
  • Received : 2024.06.13
  • Accepted : 2024.07.11
  • Published : 2024.07.31

Abstract

This study empirically analyzed the factors affecting the intention to utilize manufacturing AI in SM-sized manufacturers by applying the TOE framework. Independent variables that are expected to influence were applied, focusing on TOE factors and managerial characteristics that reflect the characteristics of SME manufacturers. In addition, the mediating effect of technology trust and the moderating effect of factory location were analyzed. The results are as follows. First, the relationship between the independent variables and the dependent variable was tested, and the direct effects of the independent variables(complexity, organizational innovation, IT ability, competitive pressure, partner support, and managerial innovation) on the dependent variable were all statistically significant, except for compatibility. Second, the mediation effect of technology trustness was verified to have a full mediation effect between compatibility and utilization intention, and a partial mediation effect between managerial innovation and utilization intention. Third, among the seven independent variables, the moderating effect of factory location(metropolitan and non-metro) between the three independent variables of IT ability, competitive pressure, and partner support and the utilization intention was found to be significant. To increase the intention to utilize manufacturing AI for SM-sized manufacturers, it is recommended that more diverse and broader studies are needed, not only the factors identified in this study, but also the understanding and awareness of manufacturing AI.

본 연구는 중소 제조기업의 제조AI 활용의도에 영향을 미치는 요인들을 TOE 프레임워크을 적용하여 중소 제조기업의 특성을 반영한 기술·조직·환경 및 경영자특성 요인을 중심으로 독립변수들을 선정하고 실증분석하였다. 또한 활용의도에 대한 기술신뢰의 매개효과와 공장소재지의 조절효과를 분석하였으며 분석결과는 다음과 같다. 첫째, 독립과 종속변수 사이의 관계에서 호환성을 제외하고 나머지 6개 독립변수(복잡성, 조직혁신성, IT활용능력, 경쟁압력, 파트너지원, 경영자혁신성)의 종속변수(활용의도)에 대한 직접효과는 모두 통계적으로 유의한 결과로 나타났으며, 그중 경영자혁신성의 상대적 영향력이 가장 크게 나타났다. 둘째, 기술신뢰는 호환성과 활용의도 사이에서 완전매개효과를, 그리고 경영자혁신성과 활용의도 사이에서 부분매개효과를 나타내는 것으로 검증되었다. 셋째, 조절효과 분석을 위해 다중집단분석(수도권과 비수도권)을 진행한 결과, 수도권 소재 기업들이 복잡성과 조직혁신성, IT활용능력, 경쟁압력, 파트너지원과 활용의도 사이의 경로에서 통계적 유의성을 가지고 상대적 활용의도가 높게 나타났으며, 비수도권 기업은 경영자혁신성과 활용의도 사이에서 유의성을 확인할 수 있었다. 이를 통해 제조AI 활용에 있어 경영자혁신성의 중요성과 함께, 조직구성원의 기술신뢰를 통한 제조AI에 대한 이해와 인식의 확대, 지역차이 극복을 위한 다양한 연구과 정책이 필요함을 시사하고 있다.

Keywords

References

  1. Wang, J., "The Cost of AI Training is Improving at 50x the Speed of Moore's Law: Why It's Still Early Days for AI", May 6., ARK Investment, Retrieved URL: ark-invest.com/articles/analyst-research/ai-training, 2022.
  2. Myung-Sik Chae, Yu-Ri Cho, "2023 Artificial Intelligence", KISTEP Brief, Vol. 110, pp.23-24, 2023.
  3. Wu, I.L. & Chen, J.L., "A stage-based diffusion of IT innovation and the BSC performance impact: A moderator of technology-organization-environment, Technological Forecasting and Social Change", 88(1), 76-90. 2014. https://doi.org/10.1016/j.techfore.2014.06.015
  4. Tornatzky, L. G. & Fleischer, M., "The Processes of Technological Innovation", Lexington Books, MA: Lexington. 1990.
  5. Nam-Hyung Kim, "A Study on the Conflict Effect of Digital Transformation Capabilities of SMEs on Corporate Performance", Graduate School of Kyung Hee University, Doctoral Thesis, 2023.
  6. Sabherwal, R., Jeyaraj, A. and Chowa C., "Information System Success: Individual and organizational determinants", Management Science, Vol. 52, No. 12, pp.1849-1864. 2006. https://doi.org/10.1287/mnsc.1060.0583
  7. Jeyaraj, A., Rottman, J. and Lacity, M., "A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research", Journal of Information Technology, Vol.21, No.1, pp.1-23. 2006. https://doi.org/10.1057/palgrave.jit.2000056
  8. Zhu, K. and Kraemer, K, L., "Post-Adoption Variations in Usage and Value of E-business by Organization: Cross-country evidence from the retail industry", Information System Research, Vol.16, No1, pp.61-64. 2005. https://doi.org/10.1287/isre.1050.0045
  9. Al-Qirim, N., "The Role of Government and E-commerce Adoption in Small Business in New Zealand", International Journal of Internet and Enterprise Management, Vol 4, No 4, pp.293-313. 2006. https://doi.org/10.1504/IJIEM.2006.011042
  10. Jeyaraj, A., Rottman, J. and Lacity, M., "A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research", Journal of Information Technology, Vol.21, No.1, pp.1-23. 2006. https://doi.org/10.1057/palgrave.jit.2000056
  11. Scupola, A., "SMEs' E-commerce Adoption: Perspectives from Denmark and Australia", Journal of Enterprise Information Management, Vol. 22, pp.152-166. 2009. https://doi.org/10.1108/17410390910932803
  12. Wolfe R. A., "Organizational innovation: review, critique and suggested research directions", The Journal of Management Studies 31(3), pp.405-431. 1994. https://doi.org/10.1111/j.1467-6486.1994.tb00624.x
  13. Cheon-Pyo L., Jung P. S.,"An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry", European Journal of Information Systems, Vol.16, No.6, pp.712-724, 2007. https://doi.org/10.1057/palgrave.ejis.3000716
  14. Pudjianto, B., H. Zo, A. P. Ciganek & J. J. Rho, "Determinants of e-Government Assimilation in Indonesia: An Empirical Investigation Using a TOE Framework", Asia Pacific Journal of Information Systems, Vol. 21(1), 49-80. 2011.
  15. Seok-Hee Han, Yun-Cheol Lee, "An Empirical Study on TOE Framework based factors for Motivation and Diffusion of PLM", The e-business studies, 9(4), 363-391. 2008. https://doi.org/10.15719/GEBA.9.4.200811.363
  16. Oliveira, T., & Martins, M. F., "Literature review of information technology adoption models at firm level. Electronic Journal of Information Systems Evaluation", 14(1), 110-121. 2011.
  17. Hyun-Jee Park, "Digitlization and National innovation growth: A focus on path analysis", Graduate School of Korea University, Doctoral Thesis, 2019.
  18. Dong-Hwi Park, "A Study on the Factors that Affect the Perceived Intention to the Use of Robotic Process Automation", Graduate School of Dankook University, Doctoral Thesis, 2020.
  19. Tao, et al., "Data-driven smart manufacturing. Journal of Manufacturing Systems", 48:157-169. 2018. https://doi.org/10.1016/j.jmsy.2018.01.006
  20. Ghahramani, et al., "AI-based modeling and data-driven evaluation for smart manufacturing processes", IEEE. 2020.
  21. Il-Jung Kim, "Discovering Essential AI-based Manufacturing Policy Issues for Competitive Reinforcement of Small and Medium Manufacturing Enterprises", Journal of the Korean society for Quality Management, Vol. 50, No. 4; 647-664, Dec. 2022. https://doi.org/10.7469/JKSQM.2022.50.4.647
  22. Arinez, J. F., Chang, Q., Gao, R. X., Xu, C., and Zhang, J., "Artificial intelligence in advanced manufacturing: Current status and future outlook. Journal of Manufacturing Science and Engineering", 142(11):110804. 2020.
  23. Egger and Masood, "Augmented Reality in Support of Intelligent Manufacturing-A Systematic Literature Review", 2019.
  24. Kyung-Jin, Jung, "A Study on the Big Data Utilization Intention of Small and Medium-sized Manufacturing Companies-Focused on Smart Industrial Complex", Graduate School of Soongsil University, Doctoral Thesis, 2021.
  25. Malhotra, N. K., Kim, S. S. & Patil, A., "Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research", Management Science, 52(12). pp. 1865-1883. 2006. https://doi.org/10.1287/mnsc.1060.0597
  26. Zheng, D., Chen, J., Huang, L. & Zhang, C, "E-government adoption in public Integrating administration organizations: institutional theory perspective and resource based view", European Journal of Information Systems, 22(2). pp.221-234. 2013. https://doi.org/10.1057/ejis.2012.28
  27. Agarwal R. & Prasad, J., "A conceptual and operational definition of personal innovativeness in the domain of information technology", Information System Research. 9(2). pp.15-204. 1998. https://doi.org/10.1287/isre.9.2.204
  28. Rogers, E. M.. "Diffusion of Innovations. 5th ed.", The Free Press, New York. 2003.
  29. Shane S, Venkataraman S., "The promise of entrepreneurship as a field of research", Academy of management review. Jan 1;25(1):217-26. 2000. https://doi.org/10.5465/amr.2000.2791611
  30. Jong-Yeol Choi, "Relationship Analysis among Entrepreneurship, Innovation Capability, External Cooperation, and Technological Innovation Performance for Venture Companies," Asia-Pacific Journal of Business Venturing and Entrepreneurship, vol. 10, no. 5, pp. 219-231, 2015. https://doi.org/10.16972/apjbve.10.5.201510.219
  31. Kreiser, P. M., & Davis, J., "Entrepreneurial Orientation and Firm Performance: The Unique Impact of Innovativeness, Proactiveness, and Risk-Taking", Journal of Small Business & Entrepreneurship, 23, 39-51. 2010. https://doi.org/10.1080/08276331.2010.10593472
  32. Dess GG, Lumpkin GT., "The role of entrepreneurial orientation in stimulating effective corporate entrepreneurship", Academy of Management Perspectives, Feb 1;19(1):147-56. 2005. https://doi.org/10.5465/ame.2005.15841975
  33. Seung-Taek Kim, "Considerations for Successful Introduction of Smart Factory", Deloitte Consilting Report. 2015.
  34. Hyeong-Cheol Kil, "An Empirical Study on Adoption Factor and Performance Analysis of Smart Factory through Technical Acceptance Model-Focusing on TOE and IS Sucess Model", The Graduate School of HanSung University, Doctoral Thesis, 2019.
  35. Wilson, D. T., "An integrated model of buyer-seller relationships", Journal of the Academy of Marketing Science, 23(4), 335-345. 1995. https://doi.org/10.1177/009207039502300414
  36. Joung-Rae Kim & Sang-Jik Lee, "Factors Affecting Technology Acceptance of Smart Factory", Journal of Information Technology Applications & Management, 27(1), 75-95. 2020. https://doi.org/10.21219/JITAM.2020.27.1.075
  37. Jong-gu Kil, Sung-Won Moon, Han-Soo Bae, "A Study on the Influence of Partnership Factors between Large and Small Business on SCM Performance", Korean Management Consulting Review, 21(1), 61-76. 2021.
  38. Gefen, D., Karahanna, E., & Straub, D. W., "Trust and TAM in online shopping: An integrated model", MIS quarterly, 51-90. 2003.
  39. Luarn, P., & Juo, W. J., "The role of trust in technology within the TAM in the context of NFC mobile payment", Journal of Information and Optimization Sciences, 31(4), 875-896. 2010. https://doi.org/10.1080/02522667.2010.10700000
  40. Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B., "Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach", Expert Systems with Applications, 40(14), 5604-5620. 2013. https://doi.org/10.1016/j.eswa.2013.04.018
  41. Hee-Chung Chung, Chul-mo Koo, Chung, Nam-ho Chung, "Examining the Adoption of Exhibition NFC Service Using UTAUT & Trust", International Journal of Tourism Management and Sciences, 32(2), 1-22. 2017. https://doi.org/10.21719/KJTR.32.2.1
  42. Joung-Rae Kim, "Factors Affecting Intention to Introduce Smart Factory in SMEs-Including Government Assistance Expectancy and Task Technology Fit", The Graduate School of Venture, Hoseo University, Doctoral Thesis, 2019.
  43. Grillitsch, M., and M. Nilsson, "Innovation in the digital economy: the role of regions in innovation and technology upgrading", Papers in Innovation Studies, 2019.
  44. De Propris, L., and N. Driffield, "The importance of clusters for spillovers from foreign direct investment and technology sourcing", Cambridge Journal of Economics, 30(2): 277-291. 2006. https://doi.org/10.1093/cje/bei059
  45. Giannopoulou, K., C. Mothe, and T.U. Nguyen-Thi, "Regional innovation impact of universities: spatial distribution of knowledge-intensive business services innovation", European Planning Studies, 27(9): 1739-1763. 2019.
  46. Asheim, B.T., R. Boschma, and P. Cooke, "Constructing regional advantage: Platform policies based on related variety and differentiated knowledge bases", Regional Studies, 45(7): 893-904. 2011. https://doi.org/10.1080/00343404.2010.543126
  47. Mancinelli, S., and M. Mazzanti, "Innovation, networking and complementarity: Evidence on SME performances for a local economic system in North-Eastern Italy", The Annals of Regional Science, 43(3), 567-597. 2009. https://doi.org/10.1007/s00168-008-0255-6
  48. Trippl, M., M. Grillitsch, and A. Isaksen, "Exogenous sources of regional industrial change: attraction and absorption of non-local knowledge for new path development", Progress in Human Geography, 42(5): 687-705. 2018. https://doi.org/10.1177/0309132517700982
  49. Hwan-Sik Kim, "The Effects of Digital Management Practices and Digital Maturity Capabilities on the Level of Industry 4.0 Adoption in SMEs in Korea", Graduate School of Kyungil University, Doctoral Thesis, 2023.
  50. Oliveira, T., Thomas, M., & Espadanal, M., "Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors", Information & Management, 51(5), 497-510. 2014. https://doi.org/10.1016/j.im.2014.03.006
  51. Hsu, P. F., K. L. Kraemer & D. Dunkle. "Determinants of e-Business Use in Us Firms. International Journal of Electronic Commerce", Vol. 10(4), 9-45. 2006. https://doi.org/10.2753/JEC1086-4415100401
  52. Sun, S., Cegielski, C. G., Jia. L. and Hall, D. J., "Understanding the Factors Affecting the Organizational Adoption of Big Data", Journal of Computer Information Systems, Oct., pp. 1-11. 2016.
  53. Galloway L, Kapasi I, Sang K., "Entrepreneurship, leadership, and the value of feminist approaches to understanding them", Journal of Small Business Management, Jul 1;53(3):683-92. 2015. https://doi.org/10.1111/jsbm.12178
  54. Robinson, L., "A Summary of Diffusion of Innovations", http://www.enablingchange.com.au/Summary_Diffusion_Theory.pdf. 2009.
  55. Depietro, R., Wiarda, E. & Fleischer, M., "The context for change: Organization, technology and environment", The Processes of Technological Innovation, 199(0), pp. 151-175. 1990.
  56. Zhu, K., Dong, S., Xu, S. X. and Kraemer, K. L., "Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies", Europe an Journal of Information Systems, 15(6), pp. 601-616. 2006. https://doi.org/10.1057/palgrave.ejis.3000650
  57. Oliveira, T., and M. F., Martins, "Understanding e-Business Adoption across Industries in European Countries", Industrial Management & Data Systems Vol. 110, No 9, 1337-1354. 2010. https://doi.org/10.1108/02635571011087428
  58. Byeong-Ryun Jeon, "A Study on Factors Affecting Intention to Use Robotic Process Automation (RPA) based Chatbots", Graduate School of Soongsil University, Doctoral Thesis, 2023.
  59. Kyoung-Sang Oh, "The factors affecting the intention to switch to a blockchain-based supply chain management information system-Application of TOE framework and PPM model", Graduate School of Konkuk University, Doctoral Thesis, 2022.
  60. Lee, Young-Ho, Myung-Sin Chae. "An Empirical Study on the Factors Affecting the Adoption of Enterprise Architecture based on the TOE Framework." Korean Management Science Review 23, no. 2: 17-39. 2006.
  61. Jeong-Mi Heo, "A Study on the Impact of the Unified Theory of Acceptance and Use of Technology (UTAUT) and Organization's Environment Factors on Smart Factory Acceptance Intent-Mediating Effect of Trust and Moderating Effect of Resistance to Innovation", Graduate School of Dongguk University, Doctoral Thesis, 2022.
  62. Gefen, D., Karahanna, E., & Straub, D. W., "Trust and TAM in online shopping: An integrated model", MIS quarterly, 51-90. 2003.
  63. Venkatesh, V., Thong, J. Y., & Xu, X., "Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology", 2012.
  64. Jong-Pil Woo, "Concept and understanding of structural equation models", Hannarae, 2017.
  65. Gaskin, J. & Lim, J., "Master Validity Tool", AMOS Plugin. Gaskination's StatWiki. 2016.
  66. Ji-Jun Song, "SPSS/AMOS Statistical analysis", Seoul: 21Cbook. 2019.
  67. Jin-ho Jung, Hyeon-suk Park, "A Study on the Effect of Corporate ESG Activities on Business Performance: Focusing on the Moderating Effect of Corporate Values Perception", Industry Promotion Research, Vol.7 No.2, pp.15-29, 2022. https://doi.org/10.21186/IPR.2022.7.2.015