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Firms' Switching Intention to Cloud Based Digital Trade: Perspective of the Push-Pull-Mooring Model

  • In-Seong Lee (Department of International Trade, Dongguk University) ;
  • Sok-Tae Kim (Department of International Trade, Dongguk University)
  • Received : 2022.04.13
  • Accepted : 2022.10.07
  • Published : 2022.10.31

Abstract

Purpose - In recent times, the international trade environment has been changing rapidly, centering on the online market. In the post-COVID-19 era, small and medium-sized trading companies are facing the problem of not being properly provided with overseas market research, market trend analysis, and trade-related information. Cloud-based digital trade is being sought as an alternative to solve these problems; however, there is a lack of research on the intention to switch to digital trade among small and medium-sized trading companies. Therefore, this study empirically analyzes the intention to switch to digital trade based on the migration theory, and through this, attempts to identify each factor that affects the intention to switch to digital trade. Design/methodology - In this study, in order to identify factors influencing intention to switch to digital trade and innovation resistance of small and medium-sized trading companies, through previous research on migration theory and the PPM (Push, Pull, Mooring) model, each variable was selected for the purpose of the study. Based on this, a research model was established for the factors affecting switching to digital trade of small and medium-sized trading companies and empirically analyzed. In addition, considering the differences in the innovation propensity and maturity of information infrastructure of trading companies as the recipients of innovation, this study analyzes the moderating effect of the mooring effect and seeks ways to establish specific strategies according to the degree. Findings - As a result of empirical analysis, the pull effect was found to have the greatest influence on intention to switch to digital trade. However, the pull factor was found to have an effect on user resistance, and it was confirmed that it was a factor simultaneously inducing positive and negative consumption behaviors among users. In addition, it was found that the higher the company's innovation propensity, the higher the pull effect's influence on the intention to switch, and analysis showed that the push effect had no influence. In addition, companies with high information infrastructure maturity were expected to have a relatively high level of intention to switch compared to companies with low information infrastructure maturity, and the difference between the two groups was found not to be statistically significant. Originality/value - This study is a timely study in that it demonstrated the effect on the switching to cloud-based digital trade for small and medium-sized trading companies and that the cloud system related to digital trade is in full swing. There are academic implications in that it revealed that the pull effect is an important factor in the intention to switch to cloud service. Practical implications were presented in that small and medium-sized trading companies suggested ways to increase the value of the cloud system for switching to digital trade and a way to increase the switching ratio by minimizing the mooring effect. In addition, the study argues that active institutional support from the government is needed to activate cloud service.

Keywords

References

  1. Aiken, L. S., S. G. West and R. R. Reno (1991), Multiple Regression: Testing and Interpreting Interactions, Beverly Hills, CA: Sage.
  2. Arya, D. and M. Dave (2017), "Priority Based Service Broker Policy for Fog Computing Environment". In D. Singh, B. Raman, A. K. Luhach, P. Lingras (eds.), Advanced Informatics for Computing Research, Singapore: Springer, 84-93.
  3. Azmeh, S., C. Foster and J. Echavarri (2020), "The International Trade Regime and the Quest for Free Digital Trade", International Studies Review, 22(3), 671-692. https://doi.org/10.1093/isr/viz033
  4. Baek, Eun-Young and Keun-Yeob Oh (2020), "A Study of Technology Trade in The Korea ICT Industry", Journal of International Trade and Insurance, 21(2), 67-78. https://doi.org/10.22875/JITI.2020.21.2.005
  5. Bansal, H. S., S. F. Taylor and y. James, St. (2005), "Migrating to New Service Providers: Toward a Unifying Framework of Consumers' Switching Behaviors", Journal of the Academy of Marketing Science, 33(1), 96-115. https://doi.org/10.1177/0092070304267928
  6. Benlian, A. and T. Hess (2011), "Opportunities and Risks of Software-as-a-service: Findings from a Survey of IT Executives", Decision Support Systems, 52(1), 232-246. https://doi.org/10.1016/j.dss.2011.07.007
  7. Borangiua, T., D. Trentesaux, A. Thomas, P. Leitao and J. Barata (2019), "Digital Transformation of Manufacturing through Cloud Services and Resource Virtualization", Computers in Industry, 108(3), 150-162. https://doi.org/10.1016/j.compind.2019.01.006
  8. Borchert, I., M. Larch, S. Shikher, Y. V. Yotov (2021), "The International Trade and Production Database for Estimation (ITPD-E), International Economics, 166, 140-166. https://doi.org/10.1016/j.inteco.2020.08.001
  9. Cappuccio, D., B. Keyworth and W. Kirwin (1996), Total Cost of Ownership: The Impact of System Management Tools, Stamford, CT: Gartner Group.
  10. Chai, Yuxi, Yan Duan, Shuzhong Ma and Jinmin Wang (2018), "New Digital Infrastructure, Cross-Border E-Commerce and Global Vision of Creating Electronic World Trade Platform", Global Trade and Customs Journal Volume, 13(4), 157-167. https://doi.org/10.54648/GTCJ2018018
  11. Chang, Yuwei (2020), "What Drives Organizations to Switch to Cloud ERP Systems? The Impacts of Enablers and Inhibitors", Journal of Enterprise Information Management, 33(3), 600-626. https://doi.org/10.1108/JEIM-06-2019-0148
  12. Cheng, Mingxi, Ji Li and S. Nazarian (2018, January 22-25), "DRL-cloud: Deep Reinforcement Learning-based Resource Provisioning and Task Scheduling for Cloud Service Providers", 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), Jeju, Korea, 129-134.
  13. Cheng, S. A., Lee, S. J., & Choi, B. M.(2019). An empirical investigation of users' voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Computer in Human Behavior, 92, 198-215. https://doi.org/10.1016/j.chb.2018.10.035
  14. Colgate, M., V. T. U. Tong, C. K. C. Lee and J. U. Farley (2007), "Back from the Brink: Why Customers Stay", Journal of Service Research, 9(3), 211-228. https://doi.org/10.1177/1094670506295849
  15. Dutta, P. and P. Dutta (2019), "Comparative Study of Cloud Services Offered by Amazon, Microso and Google", International Journal of Trend in Scientific Research and Development, 3(3), 981-985. https://doi.org/10.31142/ijtsrd23170
  16. Fareghzadeh, N., M. A. Seyyedi and M. Mohsenzadeh (2019), "Toward Holistic Performance Management in Clouds: Taxonomy, Challenges and Opportunities", Journal of Supercomput, 75(1), 272-313. https://doi.org/10.1007/s11227-018-2679-9
  17. Fei, L., & Bo, X.(2014). Do I switch? Understanding users' intention to switch between social network sites. 2014 47th Hawaii International Conference on System Science (pp. 551-560), Waikoloa, HI, USA.
  18. Fu, J. R. (2011), "Understanding Career Commitment of IT Professionals: Perspectives of Push-pull-mooring Framework and Investment Model", Internation Journal of Information Management, 31(3), 279-293.
  19. Guo, Zhiling and M. A, Dan (2018), "A Model of Competition between Perpetual Software and Software as a Service", MIS Quarterly, 42(1), 101-120. https://doi.org/10.25300/MISQ/2018/13640
  20. Handarkho, Y. D. and Y. Harjoseputro (2020), "Intention to Adopt Mobile Payment in Physical Stores: Individual Switching Behavior Perspective Based on Push-Pull-Mooring (PPM) Theory", Journal of Enterprise Information Management, 33(2), 285-308. https://doi.org/10.1108/JEIM-06-2019-0179
  21. Hou, A. C. Y., Chern C. C., Chen, H. G., & Chen, Y. C.(2011). Migrating to a new virtual world: Exploring MMORPG switching through human migration theory. Computer in Human Behavior, 27, 1892-1903.
  22. Hsieh, J. K., Y. C. Hsieh, H. C. Chiu and Y. C. Feng (2012), "Post-adoption Switching Behavior for Online Service Substitutes: A Perspective of the Push-pull-mooring Framework", Computers in Human Behavior, 28(5), 1912-1920. https://doi.org/10.1016/j.chb.2012.05.010
  23. Ignatova, T., C. Alexakis, D. Ivanova and E. Dudukalov (2020), "Assessment of Modern Global Trends in Digital Trade and Finance", Advances in Economics, Business and Management Research, 139, 363-366.
  24. Ismail, N. W. (2020), "Digital Trade Facilitation and Bilateral Trade in Selected Asian Countries", Studies in Economics and Finance, 38(2), 257-271. https://doi.org/10.1108/SEF-10-2019-0406
  25. Kim, Hee-Woong. and A. Kankanhalli (2009), "Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective", MIS Quarterly, 33(3), 567-582. https://doi.org/10.2307/20650309
  26. Kim, M. K., Park, M. C., Park, J. H., Kim, J. M., & Kim, E. H.(2018). The role of multidimensional switching barriers on the cognitive and affective satisfaction-loyalty link in mobile communication services: Coupling in moderating effects. Computers in Human Behavior, 87, 212-223. https://doi.org/10.1016/j.chb.2018.05.024
  27. Lai, J. Y. and J. Wang (2015), "Switching Attitudes of Taiwanese Middle-aged and Elderly Patients toward Cloud Healthcare Services: An Exploratory Study", Technological Forecasting and Social Change, 92, 155-167. https://doi.org/10.1016/j.techfore.2014.06.004
  28. Lapointe, L. and S. Rivard (2005), "A Multilevel Model of Resistance to Information Technology Implementation", MIS Quarterly, 461-491.
  29. Longino, C. F. Jr.(1992). The forest and the trees: Micro-level considerations in the study of geographic mobility in old age, in elderly migration and population redistribution. London: Belhaven, 23-34.
  30. Mahmoud, H., A. Hegazy and M. H. Khafagy (2018, February 19-21), "An Approach for Big Data Security Based on Hadoop Distributed File System", 2018 International Conference on Innovative Trends in Computer Engineering (ITCE), Aswan, Egypt, 109-114.
  31. Maier, C., S. Laumer, C. Weinert and T. Weitzel (2015), "The Effects of Technostress and Switching Stress on Discontinued Use of Social Networking Services: A Study of Facebook Use", Information Systems Journal, 25(3), 275-308. https://doi.org/10.1111/isj.12068
  32. Mathew, A. (2012), "Security and Privacy Issues of Cloud Computing: Solutions and Secure Framework", International Journal of Multidisciplinary Research, 2(4), 182-193.
  33. Mira, B. (2021), "Towards a New Treaty on Digital Trade", Journal of World Trade, 55(1), 77-100. https://doi.org/10.54648/TRAD2021003
  34. Mira, B. and R. Polanco (2020), "Digital Trade Provisions in Preferential Trade Agreements: Introducing a New Dataset", Journal of International Economic Law, 23(1), 187-220. https://doi.org/10.1093/jiel/jgz044
  35. Moon, B.(1995). Paradigms in migration research: Exploring 'moorings' as a schema. Progress in Human Geography, 19(4), 504-524. https://doi.org/10.1177/030913259501900404
  36. Pedone, G. and I. Mezgar, (2018), "Model Similarity Evidence and Interoperability Affinity in Cloud-ready Industry 4.0 Technologies", Computers in Industry, 100, 278-286. https://doi.org/10.1016/j.compind.2018.05.003
  37. Peng, X. X., Zhao, Y. X. C., & Zhu, Q. H.(2016). Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example. Computer in Human Behavior, 64, 206-216. https://doi.org/10.1016/j.chb.2016.06.054
  38. Priya, V., C. S. Kumar and R. Kannan (2019), "Resource Scheduling Algorithm with Load Balancing for Cloud Service Provisioning", Applied Soft Computing, 76, 416-424. https://doi.org/10.1016/j.asoc.2018.12.021
  39. Ratnasingham, P. and K. Kumar (2000), "Trading Partner Trust in Electronic Commerce Participation", The Proceeding of the 22nd International Conference on Information Systems, Atlanta, GA: Association for Information Systems, 544-552.
  40. Rivard, S. and L. Lapointe (2012), "Information Technology Implementers' Responses to User Resistance: Nature and Effects", MIS Quarterly, 897-920.
  41. Schniederjans, D. G. and S. Yadav (2013), "Successful ERP Implementation: An Integrative Model", Business Process Management Journal, 19(2), 364-398. https://doi.org/10.1108/14637151311308358
  42. Siani, P. and A. Benameur (2010, November 30 - December 3), "Privacy, Security and Trust Issues Arising From Cloud Computing", 2nd IEEE International Conference on Cloud Computing Technology and Science, Indianapolis, IN: 693-702.
  43. Singh, S., P. Singh, R. Garg and P. K. Mishra (2015), "Big Data: Technologies Trends and Applications", International Journal of Computer Science and Technologies, 6(5), 4633-4639.
  44. Susanty, A. A. Handoko and N. B. Puspitasari (2020), "Push-pull-mooring Framework for E-commerce Adoption in Small and Medium Enterprises", Journal of Enterprise Information Management, 33(2), 381-406. https://doi.org/10.1108/JEIM-08-2019-0227
  45. Willemyns, I. (2019), "GATS Classification of Digital Services: Does 'The Cloud' Have a Silver Lining?", Journal of World Trade, 53(1), 59-81. https://doi.org/10.54648/TRAD2019003
  46. Yang, Huihui, Ruifu Cui and Weiying Chong (2020), "Customers' Housing-switching Behavior in Chongqing, China: A Conceptual Framework from the Perspective of Pull-push Mooring Theory", INTI JOURNAL, 2020(47).
  47. Zaltman, G. and C. Moorman (1988), "The Importance of Personal Trust in the Use of Research", Journal of Advertising Research, 28(5), 16-24.
  48. Zhang, Z. K., Cheung, M. K., Lee, K. O., & Chen, H.(2008). Understanding the blog service switching in Hong Kong: An empirical investigation. In Proceedings of the 41st annual Hawaii international conference on system sciences (HICSS 2008), HI, USA.