The Influencing Factors of Perceived Value, Satisfaction, And Intention to Reuse Online Shopping in College Students at A Public University in Hangzhou, China
Keywords:
Intention to reuse, Parasocial Interaction, Perceived Value, Customer Satisfaction, Online ShoppingAbstract
Purpose: This research aims to determine the factors influencing perceived value, satisfaction, and intention to reuse online shopping among college students at a public university in Hangzhou, China. The conceptual framework contains information quality, parasocial, delivery, website service quality, customer satisfaction, intention to reuse. Research design, data, and methodology: Researchers used a quantitative method for distributing the questionnaire online or offline to a group of university students in public schools in Hangzhou who come from the four core majors of Zhejiang Business College. The item-objective congruence (IOC) index and Cronbach’s Alpha in a pilot study (n=30) were conducted for validity and reliability testing. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: Information quality and parasocial interaction significantly influence perceived value. information quality, perceived value, parasocial interaction, and delivery significantly influence customer satisfaction. Furthermore, perceived value and customer satisfaction significantly influence intention to reuse. Nevertheless, website service quality has no significant influence on customer satisfaction. Conclusions: Improving customer satisfaction and reducing conversion costs are two major strategies for improving customer loyalty. Satisfaction actively influences consumers' intentions, with repeat purchase intention being one of the manifestations of this intention.
References
Ahmad, A., & Khan, M. N. (2017). Developing a website service quality scale: A confirmatory factor analytic approach. Journal of Internet Commerce, 16(1), 104-126.
https://doi.org/10.1080/15332861.2017.1283927
Aladwani, A. M., & Palvia, P. C. (2002). Developing and Validating an Instrument for Measuring User-Perceived Web Quality. Information and Management, 39, 467-476. https://doi.org/10.1016/S0378-7206(01)00113-6
Al-Mamary, Y. H., & Shamsuddin, A. (2015). Testing of the Technology Acceptance Model in Context of Yemen. Mediterranean Journal of Social Sciences, 2(1), 11-23.
https://doi.org/10.5901/mjss.2015.v6n4s1p268
Awang, Z. (2012). Structural equation modeling using AMOS graphic (1st ed.). Penerbit Universiti Teknologi MARA
Ballou, D. P., & Pazer, H. L. (1985). Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems. Management Science, 31(2), 150-162.
https://doi.org/10.1287/mnsc.31.2.150
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
Cardozo, R. N. (1965). An Experimental Study of Customer Effort, Expectation, and Satisfaction. Journal of Marketing Research, 24(8), 244-249. https://doi.org/10.1177/002224376500200303
Chen, H. T., Li, T. Q., & Song, S. S. (2015). Modeling and Empirical Research on Repeated Purchase Behavior of Online Delivery Platform Users. Soft science, 29(11), 79-82.
Chinomona, R., Masinge, G., & Sandada, M. (2014). The influence of e-service quality on customer perceived value, customer satisfaction and loyalty in South Africa. Mediterranean Journal of Social Sciences, 5(9), 331-341.
Chiu, C. M., Hsu, M. H., Lai, H. C., & Chang, C. M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(04), 835-845. https://doi.org/10.1016/j.dss.2012.05.021
Cronin, J., & Brady, M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218. https://doi.org/10.1016/s0022-4359(00)00028-2
Flavian, C., Guinaliu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43(01), 1-14.
https://doi.org/10.1016/j.im.2005.01.002
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
https://doi.org/10.1177/002224378101800104
Fottrell, E., & Byass, P. (2008). Population survey sampling methods in a rural African setting: measuring mortality. Population health metrics, 6(1), 1-11. https://doi.org/10.1186/1478-7954-6-2
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (1st ed.). Prentice-Hall
Homburg, C., & Stock, R. M. (2004). The link between salespeople's job satisfaction and customer satisfaction in a business-to business context: A dyadic analysis. Journal of the Academy of Marketing Science, 32(2), 144-158. https://doi.org/10.1177/0092070303261415
Jee, J., & Lee, W. N. (2002). Antecedents and consequences of perceived interactivity: An exploratory study. Journal of interactive advertising, 3(1), 34-45. https://doi.org/10.1080/15252019.2002.10722066
Jiang, C., Zhao, H. X., & Meng, L. (2014). Research on Online Interaction of Online shopping and Consumers' Impulsive Purchase Behavior. Inquiry into economic issues, 4(5), 64-73.
Kahn, B. K., Strong, D. M., & Wang, R. Y. (2002). Information Quality Benchmarks: Product and Service Performance. Communications of the ACM, 45(4), 184-192.
https://doi.org/10.1145/505248.506007
Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792. https://doi.org/10.1057/palgrave.ejis.3000711
Kim, W., Sara, L. W., & Gilbert, S. (2016). The impact of customer value types on customer outcomes for different retail formats. Journal of Service Management, 27(04), 591-618.
Lalonde, B. J., & Zinszer, P. H. (1976). Customer Service: Meaning and Measurement. National Council of Physical Distribution Management.
Lin, G. T. R., & Sun, C. (2009). Factors influencing satisfaction and loyalty in online shopping: an integrated model. Online Information Review, 33(3), 458-475. https://doi.org/10.1108/14684520910969907
Lin, T. H. (2017). Service Innovation, Experience Marketing, and Post-purchase Behavior: The Case of Team Working in a Direct Marketing Organization. Journal of Social and Administrative Sciences, 4(3), 273-282.
Liu, X., He, M., Gao, F., & Xie, P. (2008). An empirical study of online shopping customer satisfaction in China: a holistic perspective. International Journal of Retail & Distribution Management, 36(11), 919-940. https://doi.org/10.1108/09590550810911683
Ma, K. X., Mather, D. W., Ott, D. L., Fang, E., Bremer, P., & Mirosa, M. (2021). Fresh food online shopping repurchase intention: the role of post-purchase customer experience and corporate image. International Journal of Retail & Distribution Management, 50(2), 206-228.
https://doi.org/10.1108/ijrdm-04-2021-0184
Mckinney, V., Yoon, K., & Zahedi, F. M. (2002). The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach. Information Systems Research, 13(3), 296-315. https://doi.org/10.1287/isre.13.3.296.76
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
Pedroso, R., Zanetello, L., Guimarães, L., Pettenon, M., Gonçalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the Crack Use Relapse Scale (CURS). Archives of Clinical Psychiatry (São Paulo), 43(3), 37-40. https://doi.org/10.1590/0101-60830000000081
Petter, S., DeLone, W., & McLcan, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263. https://doi.org/10.1057/ejis.2008.15
Pipino, L. L., Yang, W. L., & Wang, R. Y. (2002). Data Quality Assessment. Communications of the ACM, 45(4), 211-218. https://doi.org/10.1145/505248.506010
Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465. https://doi.org/10.1016/s0378-7206(01)00112-4
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690.
https://doi.org/10.1016/j.heliyon.2019.e02690
Rosenbaum, M. S. (2009). Exploring commercial friendships from employees' perspectives. Journal of Services Marketing, 23(1), 57-66. https://doi.org/10.1108/08876040910933101
Sanbonmatsu, D. M., Posavac, S. S., Kardes, F. R., & Mantel, S. P. (1998). Selective hypothesis testing. Psychonomic Bulltion & Review, 5(2), 197-220. https://doi.org/10.3758/bf03212944
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.
https://doi.org/10.1016/j.jfoodeng.2005.02.010
Shashank, R., Goldsby, T. J., Griflis, S. E., & Lyengar, D. (2011). Electronic logistics service quality (e-LSQ): It is impact on the customer's purchase satisfaction and retention. Journal of Business Logistics, 32(2), 167-179. https://doi.org/10.1111/j.2158-1592.2011.01014.x
Sheizaf, R., & Sudweeks, F. (1997). Networked Interactivity. Journal of Computer-Mediated Communication, 2(4), 243-256. https://doi.org/10.1111/j.1083-6101.1997.tb00201.x
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 M. A. Lange (Ed.), Leading-edge psychological tests and testing research (pp. 27-50). Nova Science Publishers.
Sun, N., & Li, H. (2011). Can Perceived Interaction Generate Customer Satisfaction: An Empirical Study Based on the Mechanism of Experience Value, Consumer Engagement, and Task Types. Economic management, 33(12), 107-118.
Sundar, S. S., Kalyanaraman, S., & Brown, J. (2003). Explicating Web Site Interactivity: Impression Formation Effects in Political Campaign Sites. Communication Research, 12(6), 33-40. https://doi.org/10.1177/0093650202239025
Swati, S., & Swati, A. (2022). Drivers of Repurchase Intention of Organic Food in India: Role of Perceived Consumer Social Responsibility, Price, Value, and Quality. Journal of International Food & Agribusiness Marketing, 34(3), 246-268.
Tentama, F., & Anindita, W. D. (2020). Employability Scale: Construct Validity and Reliability. International Journal of scientific & technology research, 9(04), 3166-3170.
Tseng, S. M., & Lee, P. S. (2014). The Effect of Knowledge Management Capability and Dynamic Capability on Organizational Performance. Journal of Enterprise Information Management, 27, 158-179. http://dx.doi.org/10.1108/JEIM-05-2012-0025
Tseng, T. H., Lee, C. T., Huang, H. T., & Yang, W. H. (2021). Success factors driving consumer reuse intention of mobile shopping application channel. International Journal of Retail & Distribution Management, 50(1), 76-99. https://doi.org/10.1108/ijrdm-08-2020-0309
Vongurai, R. (2022). Key Drivers of Operational Performance of E-commerce Distribution Service Providers in Thailand. Journal of Distribution Science, 20(12), 89-98.
https://doi.org/10.15722/jds.20.12.202212.89
Wang, L., Ficici, A., & Fan, B. (2019). Processes of Knowledge Transfer in Multinational Enterprises: Intra-firm and Inter-firm Perspective. KSP Book.
Wang, X. L., & Wang, C. Y. (2016). An Empirical Study on the Factors Influencing the Repetitive Purchase Intention of College Students under the B2C Model. Journal of University of Electronic Science and Technology (Social Science Edition), 18(2), 62-66.
Wang, X. W., & Park, C. (2012). The Effect of Online Store Attributes on Consumer Satisfaction and Loyalty in China: higher experience vs lower experience. Korea Journal of Business Administration, 25(7), 2955-2976.
Wei, Y., Peng, Y. X., & Chen, J. Y. (2020). Research on the Influencing Factors of Purchasing Intention of Brand Agricultural Products from the Perspective of Perceived Value. E3S Web of Conferences, 214(2), 01043. https://doi.org/10.1051/e3sconf/202021401043
Wood, P., & Badley, E. M. (1981). People with disabilities: Towards acquiring information which reflects more sensitivity to their problems and needs. World Rehabilitation Fund, Inc.
Wu, J. (2021). Research on the influencing factors of consumer repeat purchase behavior in the context of e-commerce live streaming. Nanjing University of Finance and Economics, 2(1), 1-10.
Wu, J.-H., & Wang, Y.-M. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management, 43(6), 728-739.
https://doi.org/10.1016/j.im.2006.05.002
Xie, G. Y., & Han, Y. X. (2016). Empirical Study on the Quality of Logistics Service in China's Online Shopping. Journal of Beijing Jiaotong University (Social Sciences Edition), 15(4), 102-114.
Xiong, S. C., Chen, Y., & Luo, Y. H. (2008). Research on the Impact of Public Information of Enterprises on Customer Expectation Perception Satisfaction. Soft science, 8(09), 77-82.
Yang, S. (2013). The Impact Mechanism of Information Quality and Community Status on the Perceived Usefulness of User Created Product Reviews: Based on Tobit Model Regression. Management Review, 25(5), 136-143.
Yao, J. (2017). A Study on Consumer Repetitive Purchase Intention in the Internet Red Economy Environment. Dongbei University of Finance and Economics, 2(2), 1-10.
Yoo, W. S., Lee, Y., Park, J. Y., Sang, W., Lee, Y. J., & Park, J. K. (2010). The role of interactivity in e-tailing: Creating value and increasing satisfaction. Journal of Retailing & Consumer Services, 17(2), 89-96. https://doi.org/10.1016/j.jretconser.2009.10.003
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1988). Communication and control processes in the delivery of service quality. Journal of marketing, 52(2), 35-48. https://doi.org/10.1177/002224298805200203
Zhang, Y. H., Li, Z. W., & Zhao, Y. C. (2017). The Impact of Information Quality on the Usefulness of Online Comments Based on Taobao Comment Data. Journal of management, 14(1), 77-85.
Zhou, S. L., Liu, Z. H., & Yao, J. (2019). Research on the influencing factors of repeat purchase intention among internet celebrity e-commerce consumers. Journal of Dalian University, 40(1), 99-108.
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