Switching Intention and Intention to Use Personal Cloud Storage Services Among Chinese Undergraduates
DOI:
https://doi.org/10.14456/shserj.2023.18Keywords:
Personal Cloud Storage Service, Switching Intention, Intention to Use, Undergraduates, ChinaAbstract
Purpose: As one of the emerging Internet technologies, cloud technology may be broadly categorized as cloud computing and cloud storage. Personal Cloud Storage Service (PCSS) is an important part of cloud technology. Thus, this study investigates the factors influencing Hangzhou undergraduates' switching intentions and intention to use personal cloud storage services. Research design, data, and methodology: The data were collected from 515 undergraduates at Zhejiang University, Zhejiang Gongshang University, and Zhejiang University of Technology. The sampling techniques are judgmental sampling, stratified random sampling, and snowball sampling. The item-objective congruence (IOC) and Cronbach's Alpha of the pilot test were approved before the data collection. Afterwards, this study applied confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The findings indicate that perceived ease of use has a significant impact on perceived usefulness. Perceived usefulness, perceived ease of use and attitude significantly affect intention to use. Perceived risk significantly affected the switching intention. Finally, switching cost and perceived usefulness significantly affect the switching intention. Conclusion: Personal cloud storage service providers should enhance the security and should continue to improve its PCSS products and optimize the membership price model, enabling free users to use the service by sending them advertisements.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
Aldiabat, K., Kwekha Rashid, A. S., Talafha, H., & Karajeh, A. (2018). The Extent of Smartphones Users to Adopt the Use of Cloud Storage. Journal of Computer Science, 14(12), 1588-1598. https://doi.org/10.3844/jcssp.2018.1588.1598
Arpaci, I. (2016). Understanding and predicting students' intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150-157. https://doi.org/10.1016/j.chb.2015.12.067
Awang, Z. (2012). Structural equation modeling using AMOS graphic. Penerbit Universiti Teknologi MARA
Bansal, H. S. (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
Bazel, M. A., Haron, H., Ismail, I., Suryanto, I., & Gui, A. (2018). Factors Influencing Intention to Use Cloud Storage Services Amongst Postgraduate Students in Malaysian Technical Universities [Paper Presentation]. 2018 International Conference on Information Management and Technology (ICIMTech), Indonesia.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
https://doi.org/10.1037/0033-2909.107.2.238
Beran, T. N., & Violato, C. (2010). Structural equation modeling in medical research: a primer. BMC Research Notes, 3(1), 267. https://doi.org/10.1186/1756-0500-3-267
Bhattacherjee, A., Limayem, M., & Cheung, C. M. (2012). User switching of information technology: A theoretical synthesis and empirical test. Information & Management, 49(7), 327-333.
Cao, Y., Bi, X., & Wang, L. (2013). A Study on User Adoption of Cloud Storage Service in China: A Revised Unified theory of Acceptance and Use of Technology Model [Paper Presentation]. 2013 International Conference on Information Science and Cloud Computing Companion, Guangzhou, China. https://doi.org/10.1109/iscc-c.2013.32
Cheng, F.-C., & Lai, W.-H. (2012). The Impact of Cloud Computing Technology on Legal Infrastructure within Internet-Focusing on the Protection of Information Privacy. Procedia Engineering, 29, 241-251. https://doi.org/10.1016/j.proeng.2011.12.701
Cheng, S., Lee, S.-J., & Choi, B. (2019). An empirical investigation of users' voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Computers in Human Behavior, 92, 198-215. https://doi.org/10.1016/j.chb.2018.10.035
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Dick, A. S., & Basu, K. (1994). Customer Loyalty: Toward an Integrated Conceptual Framework. Journal of the Academy of Marketing Science, 22(2), 99-113. https://doi.org/10.1177/0092070394222001
Du, J., Lu, J., Wu, D., Li, H., & Li, J. (2013). User acceptance of software as a service: Evidence from customers of China's leading e-commerce company, Alibaba. Journal of Systems and Software, 86(8), 2034-2044. https://doi.org/10.1016/j.jss.2013.03.012
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
Guo, J. (2014, July 12). The end of an era for Chinese personal cloud storage market. http://tech2ipo.com/82509
Ha, I., Yoon, Y., & Choi, M. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44(3), 276-286. https://doi.org/10.1016/j.im.2007.01.001
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th ed.). Pearson Education.
Hsieh, Y. C., Hsieh, J. K., & Feng, Y. C. (2011, November). Switching between social media: The role of motivation and cost [Paper presentation]. 2nd international conference on economics. Business and Management, Singapore.
Huang, Y.-M. (2016). The factors that predispose students to continuously use cloud services: Social and technological perspectives. Computers & Education, 97, 86-96. https://doi.org/10.1016/j.compedu.2016.02.016
Jing, G. (2016, March 13). Who can become the players in the future Chinese cloud storage market?. Weidu8.
http://www.weidu8.net/wx/1009147710434140
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: Measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441-450.
Keaveney, S. M., & Parthasarathy, M. (2001). Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. Journal of the Academy of Marketing Science, 29(4), 374-390.
Kiran, S. (2020, April 4). Most Popular Cloud Storage Services in China. Good Cloud Storage.
https://www.goodcloudstorage.net/guide/cloud-storage-for-china/
Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: a modified DeLone and McLean's model perspective. Interacting with Computers, 21(5), 385-392.
Lei, P.-W., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: Issues and Practice, 26(3), 33-43. https://doi.org/10.1111/j.1745-3992.2007.00099.x
Longino, C. F. (1992). The forest and the trees: Micro-level considerations in the study of geographic mobility in old age. In Rogers, A. E. (Ed.), Elderly migration and population redistribution (pp. 23-34). Belhaven Press
Malhotra, Y., & Galletta, D. F. (1999). Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences, 5(8), 14. https://doi.org/ 10.1109/HICSS.1999.772658
Mamman, M., Ogunbado, A. F., & Abu-Bakr, A. S. (2016). Factors influencing customer's behavioral intention to adopt Islamic banking in Northern Nigeria: a proposed framework. Journal of Economics and Finance, 7(1), 51-55.
Marston, S., Li, Z., & Bandyopadhyay, S. (2011). Cloud computing-The business perspective. Decision Support Systems, 51(1), 176-189.
Mei, B., & Brown, G. (2017). Conducting online surveys in China. Social Science Computer Review, 36(6), 721-734.
https://doi.org/10.1177/0894439317729340
Moon, B. (1995). Paradigms in migration research: exploring ‘moorings' as a schema. Progress in Human Geography, 19(4), 504-524.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Ogbanufe, O., Dinulescu, C. C., Liu, X., & Kucuk, C. Y. (2019). It's in the cloud: Theorizing context specific factors influencing the perception of mobile cloud storage. The DATA BASE for Advances in Information Systems, 50(3), 116-137.
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376-385.
Park, S. C., & Ryoo, S. Y. (2013). An empirical investigation of end-users' switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior, 29(1), 160-170.
Park, Y., & Chen, J. V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349-1365. https://doi.org/10.1108/02635570710834009
Pedroso, R., Zanetello, L., Guimaraes, L., Pettenon, M., Goncalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the crack use relapse scale (CURS). Archives of Clinical Psychiatry, 43(3), 37-40.
Phaisuwat, P., & Vongurai, D. (2017). The Factors Affecting the Attribute Attitude Towards Credit Card; The Case Study of Credit Card for Bangkokian’s Generation X and Y. AU-GSB E-JOURNAL, 9(2), 128-133.
Phyu, K. K., & Vongurai, R. (2020). Impacts on adaptation intention towards using accounting software in terms of technology advancement at work in Myanmar. AU-GSB E-JOURNAL, 12(2), 98-111.
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovativeness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53-71.
Ravenstein, E. G. (1885). The laws of migration. Journal of the Statistical Society of London, 48(2), 167-235.
Sharma, G. P., Verma, R. C., & Pathare, P. (2005). Mathematical modeling of infrared radiation thin layer drying of onion slices. Journal of Food Engineering, 71(3), 282-286.
Sica, C., & Ghisi, M. (2007). The Italian versions of the Beck Anxiety Inventory and the Beck Depression Inventory-II: Psychometric properties and discriminant power. In Lange, M. A. (Ed.), Leading - Edge Psychological Tests and Testing Research (pp. 27-50). Nova.
Soper, D. S. (2022, May 24). A-priori Sample Size Calculator for Structural Equation Models. Danielsoper.
www.danielsoper.com/statcalc/default.aspx
Studenmund, A. H. (1992). Using Econometrics: A Practical Guide. Harper Collins.
Sun, Z. X. (2013). Research on determinant of behavior intention of personal cloud storage using based on interested model of TAM/TTF (in Chinese). Zhejiang University.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.
Wang, J. (2016). Critical Factors for Personal Cloud Storage Adoption in China. Journal of Data and Information Science, 1(2), 60-74. https://doi.org/10.20309/jdis.201614
Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean’s model. Information and Management, 43(6), 728-739. https://doi.org/10.1016/j.im.2006.05.00
Wu, K., Vassileva, J., & Zhao, Y. (2017). Understanding users' intention to switch personal cloud storage services: Evidence from the Chinese market. Computers in Human Behavior, 68, 300-314. https://doi.org/10.1016/j.chb.2016.11.039
Xu, F., Tian, M., Xu, G., Reyes Ayala, B., & Shen, W. (2017). Understanding Chinese users' switching behaviour of cloud storage services. The Electronic Library, 35(2), 214-232. https://doi.org/10.1108/el-04-2016-0080
Yang, H. L., & Lin, S. L. (2015). User continuance intention to use cloud storage service. Computers in Human Behavior, 52, 219-232.
Ye, C., & Potter, R. (2011). The role of habit in post-adoption switching of personal information technologies: An empirical investigation. Communications of the Association for Information Systems, 28(1), 585-610.
Yeo, H. S., Phang, X. S., Lee, H. J., & Lim, H. (2014). Leveraging client-side storage techniques for enhanced use of multiple consumer cloud storage services on resource-constrained mobile devices. Journal of Network and Computer Applications, 43, 142-156.
