Abstract
The present study utilised the Expectation-Confirmation Theory (ECT) as a theoretical framework to examine the temporal development of customer trust, satisfaction, and repurchase intent. In subsequent phases of the ECT, the significance of expectations in influencing customers’ attitudes towards confirmed trust and satisfaction was emphasised. The Trust-based Expectation-Confirmation model was therefore proposed to study trust at the appropriate level of abstraction to capture and analyse the relationships between Expected Trust, Perceived Trust, and the Confirmation of Expected Trust. The evaluation of the proposed ECT Trust-based model was conducted through a web-based survey with 559 participants, aiming to examine the direct and indirect approaches of measuring the Confirmation phase. Both approaches were found to be problematic in terms of the gap between the Perceived and Expected construct measured, which cannot be adjusted by the middle point on the Likert scale when using the direct approach either. This research article proposes the Indexed Approach as a new relevant assessment approach to transform data gathered from participants, which were measured throughout the Expectation and Perceived Performance stages, into a common format that could be used to determine each participant’s Confirmation. In order to validate the Indexed Approach, PLS path modelling evaluation and comparison for each approach were conducted; the results indicated that the Indexed Approach was the superior alternative to the direct and indirect approaches for transformation confirmation data to be used in the ECT model.
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Data Availability
The data that support the findings of this study are available on request from the corresponding author, A AlSokkar.
References
Abuaddous, H., AlSokkar, A. A., & Abualodous, A. (2018). The impact of knowledge management on organizational performance. International Journal of Advanced Computer Science and Applications, 9(4), 204–208. https://doi.org/10.14569/IJACSA.2018.090432
Al Sokkar, A. (2014). Multimodal human-computer interaction for enhancing customers’ decision-making and experience on B2C e-commerce websites. University of Leicester. https://hdl.handle.net/2381/29330
Al Sokkar, A. A., & Law, E. (2013a). Validating an episodic UX model on online shopping decision making: A survey study with B2C e-commerce. Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems (pp. 297–306). https://doi.org/10.1145/2494603.2480301
Al Sokkar, A. A., & Law, E. L. (2013b). In situ observations of non-verbal emotional behaviours for multimodal avatar design in e-commerce. Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation, (pp. 1–12). https://doi.org/10.1145/2500342.2500356
Al-Gasawneh, J., Al-Wadi, M., Al-Wadi, B., Alown, B., & Nuseirat, N. (2020). The interaction effect of comprehensiveness between social media and online purchasing intention in Jordanian pharmacies. International Journal of Interactive Mobile Technologies iJIM, 14(15), 208–221. https://doi.org/10.3991/ijim.v14i15.15501
Al-Gasawneh, J., AlZubi, K., Anuar, M., Padlee, S., & ul-Haque, A., & Saputra, J. (2022a). Marketing performance sustainability in the Jordanian hospitality industry: The roles of customer relationship management and service quality. Sustainability, 14(2), 803. https://doi.org/10.3390/su14020803
Al-Gasawneh, J., Khoja, B., Al-Qeed, M., Nusairat, N., Hammouri, Q., & Anuar, M. (2022b). Mobile-customer relationship management and its effect on post-purchase behavior: The moderating of perceived ease of use and perceived usefulness. International Journal of Data and Network Science, 6(2), 439–448. https://doi.org/10.5267/j.ijdns.2021.12.010
Al-Gasawneh, J., Al-Balqa, J., Hasan, M., Mahmoud, A., Al-Rawashdeh, G., Mukattash, I., & Saputra, J. (2023a). The moderating role of reliability on the relationship between electronic word of mouth and cus-tomer purchase intention in Jordanian real estate enterprises. International Journal of Data and Network Science, 7(2), 687–694. https://doi.org/10.5267/j.ijdns.2023.3.003
Al-Gasawneh, J., Alsoud, M., AlSokkar, A., Warrad, L., Saputra, J., & Daoud, M. (2023b). Internet advertisements and brand equity amongst user-generated content and purchase intention. Migration Letters, 20(S8), 467–478. https://doi.org/10.59670/ml.v20iS8.4623
Almajali, D., & AL-Sous, N. (2021). Antecedents of online shopping behavior amidst fear of Covid-19 pandemic in Jordan: An empirical study. International Journal of Data and Network Science, 5(4), 837–846. https://doi.org/10.5267/j.ijdns.2021.x.003
Almajali, D., Omar, F., Alsokkar, A. A., Alsherideh, A., Masa’Deh, R., & Dahalin, Z. (2022). Enterprise resource planning success in Jordan from the perspective of IT-Business strategic alignment. Cogent Social Sciences, 8(1), 1–21. https://doi.org/10.1080/23311886.2022.2062095
Alnaser, S., Al-Shibly, M., Alghizzawi, M., Habes, M., & Al-Gasawneh, J. (2020). Impacts of social media and demographical characteristics on university admissions: Case of Jordanian private universities. PalArch’s Journal of Archaeology of Egypt/Egyptology, 17(7), 6433–6454. https://archives.palarch.nl/index.php/jae/article/view/2980
Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In International conference on advanced intelligent systems and informatics (pp. 406–417). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-31129-2_37
Alsokkar, A. A., Law, E., Almajali, D., & Alshinwan, M. (2023). The effect of multimodality on customers’ decision-making and experiencing: A comparative study. International Journal of Data and Network Science, 7(1), 1–14. https://doi.org/10.5267/j.ijdns.2022.12.012
Al-Sous, N., Almajali, D., & Alsokkar, A. A. (2023). Antecedents of social media influencers on customer purchase intention: Empirical study in Jordan. International Journal of Data and Network Science, 7(1), 125–130. https://doi.org/10.5267/j.ijdns.2022.11.010
AL-Sous, N., Almajali, D., AlSokkar, A. A., Majali, T., Mansour, A., Alsherideh, A., Masadeh, A., ... & Dahali, Z. (2022). Antecedents of e-commerce on intention to use the international trade center: An exploratory study. International Journal of Data and Network Science, 6(4), 1531–1542. https://doi.org/10.5267/j.ijdns.2022.4.023
Anderson, E. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5–17. https://doi.org/10.1177/109467059800100102
Andreassen, H., Gjerald, O., & Hansen, K. (2021). Foods, 10(4), 767. https://doi.org/10.3390/foods10040767
Baharum, A., Fai, C., Ismail, R., Ismail, I., Deris, F., & Noor, N. (2021). Evaluation of appliances mobile controller system using expectation-confirmation theory model. Bulletin of Electrical Engineering and Informatics, 10(4), 2119–2129. https://doi.org/10.11591/eei.v10i4.3061
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Carvajal, A., Hsu, C., & Raj, S. (2023). Investigating hostels revisit intention in Taiwan: The moderating effect of customers’ desire. International Journal of Business Excellence, 29(1), 1–16. https://doi.org/10.1504/IJBEX.2023.128257
Chae, S., Lee, K., & Seo, Y. (2016). Exploring the effect of avatar trust on learners’ perceived participation intentions in an e-learning environment. International Journal of Human-Computer Interaction, 32(5), 373–393. https://doi.org/10.1080/10447318.2016.1150643
Chin, W. (2009). How to write up and report PLS analyses. In Handbook of partial least squares: Concepts, methods and applications (Vol. II, pp. 655–690). (Springer Handbooks of Computational Statistics Series), Springer. https://doi.org/10.1007/978-3-540-32827-8_29
Dabholkar, P., Shepherd, D., & Thorpe, D. (2000). A comprehensive framework for service quality: An investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), 139–173. https://doi.org/10.1016/S0022-4359(00)00029-4
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
DeLone, W., & McLean, E. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31–47. http://www.jstor.org/stable/27751130
Dewi, A., Rohman, F., & DwiVataHapsari, R. (2022). The antecedents of repurchase intention in Indonesian e-commerce marketplace customers during the COVID-19 pandemic with age as a moderating variable: A study on e-commerce marketplace customers in Java. International Journal of Research in Business and Social Science, 11(5), 33–45. https://doi.org/10.20525/ijrbs.v11i5.1880
Dwyer, F., Schurr, P., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51, 11–27. https://doi.org/10.2307/1251126
Eid, M., Nusairat, N., Alkailani, M., & Al-Ghadeer, H. (2020). Internet users’ attitudes towards social media advertisements: The role of advertisement design and users’ motives. Management Science Letters, 10(10), 2361–2370. https://doi.org/10.5267/J.MSL.2020.2.029
Favero, N., & Kim, M. (2021). Everything is relative: How citizens form and use expectations in evaluating services. Journal of Public Administration Research and Theory, 31(3), 561–577. https://doi.org/10.1093/jopart/muaa048
Gefen, D., & Straub, D. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: Experiments in e-Products and e-Services. Omega, 32(6), 407–424. https://doi.org/10.1016/j.omega.2004.01.006
Gross, A., & Bongartz, S. (2012). Why do I like it? Investigating the product-specificity of user experience. Proceedings of the 7th Nordic Conference on human-computer interaction: Making sense through design, (pp. 322–330). https://doi.org/10.1145/2399016.2399067
Hammouri, Q., Al-Gasawneh, J., Abu-Shanab, E., Nusairat, N., & Akhorshaideh, H. (2021). Determinants of the continuous use of mobile apps: The mediating role of users awareness and the moderating role of customer focus. International Journal of Data and Network Science, 5(4), 667–680. https://doi.org/10.5267/j.ijdns.2021.7.014
Hammouri, Q., Altaher, A., Al-Gasawneh, J., Rabaai, A., Aloqool, A., & Khataybeh, H. (2022). Understanding the determinants of digital shopping features: The role of promo code on customer behavioral intention. International Journal of Data and Network Science, 6(3), 641–650. https://doi.org/10.5267/j.ijdns.2022.4.007
Hart, P., & Saunders, C. (1997). Power and trust: Critical factors in the adoption and use of electronic data interchange. Organization Science, 8(1), 23–42. https://doi.org/10.1287/orsc.8.1.23
Henseler, J., Ringle, C., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
Khalaf, A., Abu Shattal, M., Rawashdeh, L., Ghasawneh, J., & Nusairat, N. (2022). Corporate social responsibility and brand equity of operating telecoms: Brand reputation as a mediating effect. International Journal of Sustainable Economy, 14(1), 78–97. https://doi.org/10.1504/IJSE.2022.119722
Kim, D. (2012). An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation. Information Systems and e-Business Management, 10, 219–240. https://doi.org/10.1007/s10257-010-0136-2
Kim, D., Ferrin, D., & Rao, R. (2009). Trust and satisfaction, two stepping stones for successful e-commerce relationships: A longitudinal exploration. Information Systems Research, 20(2), 237–257. http://www.jstor.org/stable/23015482
Kim, D., & Ogbanufe, O. (2020). Confirmatory influence of trust in e-commerce: A data collection bias and suggestion. Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 1–10). University of Hawaiʻi at Mānoa. http://hdl.handle.net/10125/64374
Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006
Lee, M.-C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506–516. https://doi.org/10.1016/j.compedu.2009.09.002
Lee, Y., & Kwon, O. (2011). Intimacy, familiarity and continuance intention: An extended expectation–confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342–357. https://doi.org/10.1016/j.elerap.2010.11.005
Li, N., & Zhang, P. (2002). Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 Proceedings, 74. https://ssrn.com/abstract=2350602
Liang, L., Choi, C., & Joppe, M. (2018). Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb. International Journal of Hospitality Management, 69, 41–48. https://doi.org/10.1016/j.ijhm.2017.10.015
Liu, F., Lim, E., Hongxiu, L., Tan, C.-W., & Cyr, D. (2020). Disentangling utilitarian and hedonic consumption behavior in online shopping: An expectation disconfirmation perspective. Information & Management, 57(3), 103–199. https://doi.org/10.1016/j.im.2019.103199
Masa’deh, R., AlMajali, D., AlSokkar, A. A., Alshinwan, M., & Shehadeh, M. (2023). Antecedents of intention to use e-auction: An empirical study. Sustainability, 15(6), 1–11. https://doi.org/10.3390/su15064871
McKinney, V., Kanghyun, Y., & Zahedi, F. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 2002. https://doi.org/10.1287/isre.13.3.296.76
Mende, M., & Bolton, R. (2013). Decoding customer–firm relationships: How attachment styles help explain customers’ preferences for closeness, repurchase intentions, and changes in relationship breadth. Journal of Marketing Research, 50(1), 125–142. http://www.jstor.org/stable/42003069
Nusairat, N., Alroale, M., Al Qeed, M., Al-Gasawneh, J., Hammouri, Q., Ahmad, A., & Abdellatif, H. (2021). User-generated content-consumer buying intentions nexus: The mediating role of brand image. Academy of Strategic Management Journal, 20(4), 1–12. https://www.abacademies.org/articles/usergenerated-contentconsumer-buying-intentions-nexus-the-mediating-role-of-brand-image-11345.html
O’Brien, H. (2010). The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences. Interacting with Computers, 22(5), 344–352. https://doi.org/10.1016/j.intcom.2010.04.001
Oh, J.-H., & Ma, J. (2018). Multi-stage expectation-confirmation framework for salespeople expectation management. Journal of Business & Industrial Marketing, 33(8), 1165–1175. https://doi.org/10.1108/JBIM-01-2018-0027
Oliver, R. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499
Oliver, R. (1999). Expectation processes in satisfaction formation. Journal of Service Research, 1(3), 196–214. https://doi.org/10.1177/10946705991300
Orehovački, T., Al Sokkar, A. AM., Derboven, J., & Khan, A. (2013). Exploring the hedonic quality of slow technology. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Paris, France.
Pakarti, P. (2022). Jurnal Aplikasi Manajemen, 20(1), 12–24. https://doi.org/10.21776/ub.jam.2022.020.01.02
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
Palvia, P. (2009). The role of trust in e-commerce relational exchange: A unified model. Information & Management, 46(4), 213–220. https://doi.org/10.1016/j.im.2009.02.003
Patterson, P., Johnson, L., & Spreng, R. (1996). Modeling the determinants of customer satisfaction for business-to-business professional services. Journal of the Academy of Marketing Science, 25(1), 4–17. https://doi.org/10.1007/BF02894505
Ratnasingham, P. (1998). The importance of trust in electronic commerce. Internet Research, 8(4), 313–321. https://doi.org/10.1108/10662249810231050
Reichheld, F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the web. Harvard Business Review, 78(4), 105–113.
Sullivan, Y., & Kim, D. (2018). Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments. International Journal of Information Management, 39, 199–219. https://doi.org/10.1016/j.ijinfomgt.2017.12.008
Szajna, B., & Scamell, R. (1993). The effects of information system user expectations on their. MIS Quarterly, 17(4), 493–514. https://doi.org/10.2307/249589
Thomas, M.-J., Wirtz, B., & Weyerer, J. (2019). Determinants of online review credibility and its impact on consumers’ purchase intention. Journal of Electronic Commerce Research, 20(1), 1–20. http://www.jecr.org/sites/default/files/2019vol20no1_Paper1.pdf
Van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information & Management, 40(6), 541–549. https://doi.org/10.1016/S0378-7206(02)00079-4
Villarin, F. (2021). Decreasing the Load on Manual Service Support by Improving the Confirmation Process in a Web-based Issue Reporting System (Dissertation). KTH, Skolan för elektroteknik och datavetenskap (EECS). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301181
Wen, C., Prybutok, V., & Xu, C. (2011). An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 50(1), 14–23. https://doi.org/10.1080/08874417.2011.11645518
Zalloum, L., Alghadeer, H., & Nusairat, N. (2019). The effect of using mobile banking services applications on electronic word of mouth: The mediating role of perceived trust. International Business Research, 12(9), 62–80. https://doi.org/10.5539/ibr.v12n9p62
Zhou, T. (2011). Understanding online community user participation: A social influence perspective. Internet Research, 21(1), 67–81. https://doi.org/10.1108/10662241111104884
Zhu, L., Jiang, X., & Cao, J. (2023). Factors affecting continuance intention in non-face-to-face telemedicine services: Trust typology and privacy concern perspectives. Healthcare, 11(3), 374. https://doi.org/10.3390/healthcare11030374
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AlSokkar, A.A.M., Law, E.LC., AlMajali, D.A. et al. An Indexed Approach for Expectation-Confirmation Theory: A Trust-based model. Electron Markets 34, 12 (2024). https://doi.org/10.1007/s12525-024-00694-3
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DOI: https://doi.org/10.1007/s12525-024-00694-3