Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2021.11.03.107

A study on Improving the Level of Introduction of Smart Factories Using the Extended Innovation Resistance Model  

Park, Chan-Kwon (Institute of Construction Environment Energy Convergence Technology, Kyoungpook National University)
Publication Information
Journal of Convergence for Information Technology / v.11, no.3, 2021 , pp. 107-124 More about this Journal
Abstract
This study is a study on the innovation resistance that may arise in connection with the introduction and use of smart factory-related technologies by SMEs. It is to study the effect of the leading factors of innovation resistance on innovation resistance and the effect of innovation resistance on use intention by using the extended innovation resistance model. A total of 176 survey data were used for the study, and the study was conducted using SPSS 25 and Smart PLS 2.0. Relative advantage, suitability, perceived risk, social impact, and organizational characteristics have a significant effect on innovation resistance, and innovation resistance was tested to have a significant effect on the intention to use. As an implication according to the research, a plan to improve the level of introduction and use of smart factories using the expanded innovative storage model was presented by dividing positive and negative factors, and factors that should be improved and factors that should be reduced are presented. It was specifically presented.
Keywords
SME; Smart Factory; Innovation Resistance Model; Network Effect; Social Impact; Behavioral Intention;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. Ram & J. N. Sheth. (1989). Consumer Resistance to Innovation: The marketing Problem and Its Solutions. Journal of Consumer Marketing, 6(2), 5-14. DOI : 10.1108/EUM0000000002542   DOI
2 S. U. Yun. (2013). A Study on the Innovation Resistance on Social Network Service : Focusing on Facebook Non-Users on their 20's University Students. Journal of Communication Science, 13(3), 331-360. DOI : G704-001590.2013.13.3.005
3 M. L. Katz & C. Shapiro. (1994). Systems Competition and Network Effects. Journal of Economic Perspectives, 8(2), 93-115. DOI : 10.1257/jep.8.2.93   DOI
4 J. J. Oh & S. J. Choi. (2017). Development of PLC-based Fieldbus Educational Equipment and Curriculum for Building Smart Factory. Journal of Practical Engineering Education, 9(1), 49-56. DOI : 10.14702/JPEE.2017.049   DOI
5 S. J. Lee, B. G. Lim, G. R. Park & J. C. Park. (2018). (Leading the People-Centered 4th Industrial Revolution) Smart Factory Operation and Strategy. Hanol Publishing House.
6 Y. S. Yang & C. H. Shin. (2010). Innovation Resistance of Consumer in Accepting New Technology -With Emphasis on Mobile Phone Touch Interface Technology-. Archives of Design Research, 23(3), 37-52. DOI : G704-000241.2010.23.3.013
7 B. H. Lee. (2017). A Study on Factors Affecting Innovation Resistance and Intention of Use of Social TV Non-Users: Focused on Innovation Diffusion Theory and Innovation Resistance Model. Journal of Internet Computing and Services, 18(6), 101-112. DOI : 10.7472/jksii.2017.18.6.101   DOI
8 H. S. Song & K. C. Kim. (2006). Resistance to Mobile Commerce Services. The Journal of Society for e-Business Studies, 11(2), 111-134.
9 J. Y. Chu & D. H. Lee. (2018). Influence of Smart Factor's Implementing Energy Management System on Innovation Resistance and Performance. Journal of Digital Convergence, 16(1), 103-116. DOI : 10.14400/JDC.2018.16.1.103   DOI
10 Y. H. Kim & Y. Choi. (2009). Determinants of Psychological Resistance against IPTV-Modification of Innovation Resistance Model. Journal of Broadcasting and Telecommunications Research, 69, 163-191. DOI : G704-SER000000521.2009..69.002
11 M. S. Suh, J. W. Ahn, E. K. Lee & D. Y. Oh. (2009). Purchasing Avoidance of Digital Convergence Products: Focusing on the Customer's Psychological Factors and the Innovation Resistance. The Journal of the Korea Contents Association, 9(1), 270-284. DOI : 10.5392/JKCA.2009.9.1.270   DOI
12 B. J. Ahn & K. H. Kwon. (2005). A Study on Factors affecting the Perceived Usefulness and Perceived Ease of Use of ERP System. Korea International Accounting Review, 13, 139-163. DOI : G704-001756.2005..13.008
13 J. S. Hyun & J. S. Hyun. (2000). A Structural Model of Network Externalities and Switching Costs in High Technology Markets: Consumer Perspective. Korean Management Review, 29(1), 63-87.
14 J. M. Lee. (2005). Information and Communication Media Convergence, Choice, and Change of Use Factors: Focusing on Internet and Mobile. Paju : Kstudy.
15 G. J. Lee & Y. G. Kim. (2018). A Study on the Development of Internet(IoT) Model and Platform For Building Smart Logistics Information System. Korean Entrepreneur Association Winter Conference Presentation, 1-15.
16 H. J. Kim, H. G. Choi, S. T. Kim, M. S. An & Y. M. Lee. (2012). A Study of Innovation Resistance among Social Media Non - Users. Korean Journal of Journalism & Communication Studies, 56(4), 439-464. DOI : G704-000203.2012.56.4.004
17 W. H. Delone & E. R. McLean. (2003). The Delone and McLean Model of Information Systems Success: A Ten-Years Update. Journal of Management Information Systems, 19(4), 9-30. DOI : 10.1080/07421222.2003.11045748   DOI
18 S. Kitchell. (1995). Corporate Culture, Environmental Adaptation, and Innovation Adoption: A Qualitative/Quantitative Approach. Journal of the Academy of Marketing Science, 23(3), 195-205. DOI : 10.1177/0092070395233004   DOI
19 Y. Weber & N. Pliskin. (1996). The Effects of Information Systems Integration and Organizational Culture on a Firm's Effectiveness. Information and Management, 30(2), 81-90. DOI : 10.1016/0378-7206(95)00046-1   DOI
20 Y. H. Chang & J. G. Park. (2011). Adoption Model of Microblog: An Integrated Approach to Media Adoption Studies. Korean Journal of Journalism & Communication Studies, 54(5), 32-58.
21 C. Fornell & D. F. Larcker. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. DOI : 10.2307/3151312   DOI
22 K. D. Kim & T. W. Nam. (2019). Public Officials' Acceptance of Technology and Innovation Resistance of the 4th Industrial Revolution: Using PLS-SEM. Korean Society for Policy Studies Spring Academic Papers, 1-23.
23 J. F. Hair, G. T. M. Hult, C. M. Ringle & M. Sarstedt. (2014). A Primer on Partial Least Squares Structural Equation Modeling(PLS-SEM). Sage Publication.
24 H. S. Lee & J. H. Lim (2019). SPSS New UI Manual. Jibhyeonjae.
25 J. C. Nunally & I. H. Bernstein (1994). Psychometric Theory 3rd ed. New York, McGraw-Hill.
26 J. Henseler, C. M. Ringle & R. R. Sinkovics. (2009). The use of Partial least Path Modeling in International Marketing. In R. R. Sinkovics and P. N. Ghauri(eds). New Challenges to International Marketing, Emerald Group Publishing Limited.
27 M. K. Lee, R. Verma & A. Roth. (2015). Understanding Customer Value in Technology-Enabled Service: A Numerical Taxonomy Based on Usage and Utility. Service Science, 7(3), 227-248. DOI : 10.1287/serv.2015.0105   DOI
28 W. J. Jang, S. I. Cho, S. S. Kim & G. Y. Gim. (2018). A Study on the Implementation of Big Data Infrastructure in Smart Factory. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 8(10), 11-23. DOI : 10.21742/AJMAHS.2018.10.07   DOI
29 Smart Manufacturing Innovation Promotion Team. (2020). Smart Factory Business Management System.
30 Ministry of SMEs and Startups. (2020). Statistics.
31 M. H. Chang & Y. M. Kim. (2019). A Study on the Innovation Resistance Caused by Blockchain to the Shipping and Port Industry. Journal of Korea Port Economic Association, 35(4), 121-146. DOI : 10.38121/kpea.2019.12.35.4.121   DOI
32 E. M. Rogers. (2003). Diffusion of Innovation 5rd Ed. New York : The Free Press.
33 M. Kleijnen, N. Lee & M. Wetzels. (2009). An Exploration of Consumer Resistance to Innovation and Its Antecedents. Journal of Economic Psychology, 30(3), 344-357. DOI : 10.1016/j.joep.2009.02.004   DOI
34 J. R. Kim & S. J. Lee. (2020). Factors Affecting Technology Acceptance of Smart Factory. Journal of Information Technology Applications & Management, 27(1), 75-95. DOI : 10.21219/jitam.2020.27.1.075   DOI
35 H. J. Kim, H. Huh, J. W. Kang & J. M. Boo. (2019). A Study on Factors Influencing the Introduction of Smart Factory : Focusing on Small and Medium-sized Enterprises in Korea. Journal of Society of Korea Industrial and Systems Engineering. 42(3), 252-261. DOI : 10.11627/jkise.2019.42.3.252   DOI
36 J. H. Oh, J. H. Seo & J. D. Kim. (2019). The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology Use on Smart Factory Technology Introduction level and Manufacturing Performance. Journal of Information Technology Applications & Management, 26(2), 13-26. DOI : 10.21219/jitam.2019.26.2.013   DOI
37 J. Sheth. (1981). Psychology of Innovation Resistance: The less Developed Concept(LDC) in Diffusion Research. Research In marketing, 4, 273-282.
38 S. Ram. (1987). A Model of Innovation Resistance. Advances in Consumer Research, 14, 208-212.
39 S. Ram. (1989). Successful Innovation Using Strategies to Reduce Resistance: An Empirical Test. Journal of Product Innovation Management, 6(1), 20-34. DOI : 10.1016/0737-6782(89)90011-8   DOI