An empirical analysis of the antecedents of electronic commerce service continuance
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Empirical studies have suggested a positive relationship between website quality and satisfaction.
“Lots of empirical studies have suggested the positive relationship between the website quality and satisfaction [51,53,84].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [84]
Scholars have agreed that understanding continued intention is vital to the success of an information system.
“Scholars have stressed the importance of understanding continued intention [84,85], and agreed that it is vital to the success of an information system [84].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [84]
Social support can affect member willingness, encouraging members to communicate again using existing interaction platforms.
“Existing studies have empirically proven that social support can affect member willingness, encouraging members to communicate again using existing interaction platforms [82].”
From What Influences Users’ Intention to Share Works in Designer-Driven User-Generated Content Communities? A Study Based on Self-Determination Theory (2023) · cites this paper as [82]
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · see citing works
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241 · see citing works
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 19,266 · see citing works
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284 · see citing works
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494 · see citing works
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338 · see citing works
EQS : structural equations program manual
Bentler, P. M. (1989) · Medical Entomology and Zoology · Cited by 9,669 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216 · see citing works
The measurement of user information satisfaction
Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,830 · see citing works
Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value
Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000) · Journal of the Academy of Marketing Science · doi:10.1177/0092070300281009 · Cited by 1,157 · see citing works
Consumer Dissatisfaction: The Effect of Disconfirmed Expectancy on Perceived Product Performance
Anderson, R. E. (1973) · Journal of Marketing Research · doi:10.1177/002224377301000106 · Cited by 1,068 · see citing works
A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research
Melone, N. P. (1990) · Management Science · doi:10.1287/mnsc.36.1.76 · Cited by 705 · see citing works
Understanding Post-Adoption Behavior in the Context of Online Services
Parthasarathy, M., & Bhattacherjee, A. (1998) · Information Systems Research · doi:10.1287/isre.9.4.362 · Cited by 572 · see citing works
Self-citationConsumer Dissatisfaction: The Effect of Disconfirmed Expectancy on Perceived Product Performance
Anderson, R. E. (1973) · Journal of Marketing Research · doi:10.2307/3149407 · Cited by 456 · see citing works
Disconfirmation of expectations and satisfaction with a retail service.
Swan, J. E., & Trawick, I. F. (1981) · Journal of Retailing · Cited by 449 · see citing works
Customer-Centered Reengineering: Remapping for Total Customer Value
Schiffrin, P. D. (1994) · Medical Entomology and Zoology · Cited by 47 · see citing works
Customer Profitability — Information just isn’t enough
Meltzer, M. (1999) · doi:10.1007/978-3-322-84961-8_25 · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Technology Acceptance Model: Past, Present, and Future
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003) · Communications of the Association for Information Systems · doi:10.17705/1cais.01250 · Cited by 2,572 · see citing works
How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance1
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007) · MIS Quarterly · doi:10.2307/25148817 · Cited by 2,450 · see citing works
Why do people play on-line games? An extended TAM with social influences and flow experience
Hsu, C., & Lu, H. (2003) · Information & Management · doi:10.1016/j.im.2003.08.014 · Cited by 2,016 · see citing works
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.01.003 · Cited by 1,399 · see citing works
Thong, J. Y. L., Hong, S., & Tam, K. Y. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.05.001 · Cited by 1,368 · see citing works
Lee, M.-C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.09.002 · Cited by 1,289 · see citing works
What drives social commerce: The role of social support and relationship quality
Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160204 · Cited by 1,254 · see citing works
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Devaraj, S., Fan, M., & Kohli, R. (2002) · Information Systems Research · doi:10.1287/isre.13.3.316.77 · Cited by 1,205 · see citing works
The impact of Web quality and playfulness on user acceptance of online retailing
Ahn, T. D., Ryu, S., & Han, I. (2007) · Information & Management · doi:10.1016/j.im.2006.12.008 · Cited by 972 · see citing works
Hong, S., Thong, J. Y. L., & Tam, K. Y. (2006) · Decision Support Systems · doi:10.1016/j.dss.2006.03.009 · Cited by 955 · see citing works
Roca, J. C., & Gagné, M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.06.001 · Cited by 732 · see citing works
Hsu, C.-L., & Lin, J. C.-C. (2015) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2014.11.003 · Cited by 662 · see citing works
Technology acceptance: a meta‐analysis of the TAM: Part 1
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834453 · Cited by 624 · see citing works
A theoretical model of intentional social action in online social networks
Cheung, C. M. K., & Lee, M. (2010) · Decision Support Systems · doi:10.1016/j.dss.2009.12.006 · Cited by 614 · see citing works
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research
Hong, W., Chan, F. K. Y., Thong, J. Y. L., Chasalow, L. C., & Dhillon, G. (2014) · Information Systems Research · doi:10.1287/isre.2013.0501 · Cited by 609 · see citing works
The impact of the online and offline features on the user acceptance of Internet shopping malls
Ahn, T. D., Ryu, S., & Han, I. (2004) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2004.05.001 · Cited by 599 · see citing works
Tam, C., dos Santos, D. S., & Oliveira, T. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9864-5 · Cited by 609 · see citing works
Usability, quality, value and e-learning continuance decisions
Chiu, C., Hsu, M., Sun, S., Lin, T., & Sun, P. (2004) · Computers & Education · doi:10.1016/j.compedu.2004.06.001 · Cited by 573 · see citing works
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565 · see citing works
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
Liébana-Cabanillas, F. J., Marinković, V., de Luna, I. R., & Kalinić, Z. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.015 · Cited by 554 · see citing works
de Luna, I. R., Liébana-Cabanillas, F. J., Sánchez‐Fernández, J., & Muñoz‐Leiva, F. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.09.018 · Cited by 564 · see citing works
Khalifa, M., & Liu, V. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000711 · Cited by 539 · see citing works
The importance of perceived trust, security and privacy in online trading systems
Roca, J. C., Machado, J. J. G., & de la Vega, J. J. (2009) · Information Management & Computer Security · doi:10.1108/09685220910963983 · Cited by 532 · see citing works
Apparel retailers: website quality dimensions and satisfaction
Kim, S.-Y., & Stoel, L. (2003) · Journal of Retailing and Consumer Services · doi:10.1016/s0969-6989(03)00010-9 · Cited by 526 · see citing works
The role of social support on relationship quality and social commerce
Hajli, M. N. (2014) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.05.012 · Cited by 518 · see citing works
Shiau, W.-L., & Luo, M. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.030 · Cited by 471 · see citing works
Cheng, Y., & Jiang, H. (2020) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2020.1834296 · Cited by 469 · see citing works
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012) · Information Systems and e-Business Management · doi:10.1007/s10257-011-0181-5 · Cited by 451 · see citing works
Falling in love with online games: The uses and gratifications perspective
Wu, J., Wang, S.-C., & Tsai, H.-H. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.033 · Cited by 433 · see citing works
Age, gender and income: do they really moderate online shopping behaviour?
Ortega, B. H., Martínez, J. J., & Martín, M. J. (2011) · Online Information Review · doi:10.1108/14684521111113614 · Cited by 438 · see citing works
The impact of website quality dimensions on customer satisfaction in the B2C e-commerce context
Lin, H.-F. (2007) · Total Quality Management & Business Excellence · doi:10.1080/14783360701231302 · Cited by 410 · see citing works
Zhao, L., & Lu, Y. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.05.019 · Cited by 407 · see citing works
User experience, satisfaction, and continual usage intention of IT
Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010) · European Journal of Information Systems · doi:10.1057/ejis.2009.50 · Cited by 399 · see citing works
Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.02.010 · Cited by 398 · see citing works
Web Acceptance Model (WAM): Moderating effects of user experience
García, J. A. C., Muñoz‐Leiva, F., & Martínez, T. L. (2007) · Information & Management · doi:10.1016/j.im.2007.02.003 · Cited by 400 · see citing works
Determinants of continuance intention to use the smartphone banking services
Susanto, A., Chang, Y., & Ha, Y. (2016) · Industrial Management & Data Systems · doi:10.1108/imds-05-2015-0195 · Cited by 443 · see citing works
Wu, I., Chiu, M.-L., & Chen, K.-W. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102099 · Cited by 417 · see citing works
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2018.02.002 · Cited by 370 · see citing works
Zhao, L., Lu, Y., Zhang, L., & Chau, P. Y. K. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.10.022 · Cited by 356 · see citing works
An Integrated Model for Customer Online Repurchase Intention
Wen, C., Prybutok, V. R., & Xu, C. (2011) · Journal of Computer Information Systems · doi:10.1080/08874417.2011.11645518 · Cited by 354 · see citing works
Lee, Y., & Kwon, O. (2011) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.11.005 · Cited by 343 · see citing works
An investigation of users’ continuance intention towards mobile banking in China
Yuan, S., Liu, Y., Yao, R., & Liu, J. (2014) · Information Development · doi:10.1177/0266666914522140 · Cited by 361 · see citing works
The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study
Vaghefi, I., & Tulu, B. (2019) · JMIR mhealth and uhealth · doi:10.2196/12983 · Cited by 341 · see citing works
Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories
Shiau, W., Yuan, Y., Pu, X., Ray, S., & Chen, C. C. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-02-2020-0069 · Cited by 352 · see citing works
Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint
Wang, H., & Wang, S.-H. (2009) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2009.11.001 · Cited by 322 · see citing works
Hsu, M., Chang, C., & Chuang, L.-W. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.09.002 · Cited by 330 · see citing works
An empirical study of the effect of perceived risk upon intention to use online applications
Lu, H., Hsu, C., & Hsu, H. (2005) · Information Management & Computer Security · doi:10.1108/09685220510589299 · Cited by 312 · see citing works
Gupta, A., Yousaf, A., & Mishra, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102094 · Cited by 338 · see citing works
Wu, I. (2012) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.09.001 · Cited by 303 · see citing works
Effects of e‐service quality on loyalty intention: an empirical study in online auction
Yen, C., & Lu, H. (2008) · Managing Service Quality · doi:10.1108/09604520810859193 · Cited by 300 · see citing works
Understanding adoption of intelligent personal assistants
Han, S.-Y., & Yang, H. (2018) · Industrial Management & Data Systems · doi:10.1108/imds-05-2017-0214 · Cited by 297 · see citing works
Determinants of satisfaction and continuance intention towards self‐service technologies
Chen, S., Chen, H., & Chen, M. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570911002306 · Cited by 288 · see citing works
Examining users′ intention to continue using social network games: A flow experience perspective
Chang, C. (2012) · Telematics and Informatics · doi:10.1016/j.tele.2012.10.006 · Cited by 284 · see citing works
e-Learning continuance intention: Moderating effects of user e-learning experience
Lin, K. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.09.017 · Cited by 277 · see citing works
Antecedents and consequences of e-learning acceptance
Cheng, Y. (2010) · Information Systems Journal · doi:10.1111/j.1365-2575.2010.00356.x · Cited by 280 · see citing works
Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008) · Information Systems Research · doi:10.1287/isre.1070.0163 · Cited by 272 · see citing works
Development and validation of an instrument to measure user perceived service quality of mHealth
Akter, S., D’Ambra, J., & RAY, P. K. (2013) · Information & Management · doi:10.1016/j.im.2013.03.001 · Cited by 276 · see citing works
Wang, W., Ou, W., & Chen, W.-Y. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.011 · Cited by 287 · see citing works
Toufaily, E., Ricard, L., & Perrien, J. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2012.05.011 · Cited by 263 · see citing works
Qureshi, I., Fang, Y., Ramsey, E., McCole, P., Ibbotson, P., & Compeau, D. (2009) · European Journal of Information Systems · doi:10.1057/ejis.2009.15 · Cited by 262 · see citing works
Wearable technology: What explains continuance intention in smartwatches?
Nascimento, B., Oliveira, T., & Tam, C. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.03.017 · Cited by 269 · see citing works
Kumar, A., Adlakaha, A., & Mukherjee, K. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-04-2017-0077 · Cited by 255 · see citing works
Exploring continued online service usage behavior: The roles of self-image congruity and regret
Kang, Y. S., Hong, S., & Lee, H. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.07.009 · Cited by 253 · see citing works
Transfer From Offline Trust to Key Online Perceptions: An Empirical Study
Lee, K. C., Kang, I., & McKnight, D. H. (2007) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2007.906851 · Cited by 253 · see citing works
Role of cognitive absorption in building user trust and experience
Balakrishnan, J., & Dwivedi, Y. K. (2021) · Psychology and Marketing · doi:10.1002/mar.21462 · Cited by 268 · see citing works
Effects of quality antecedents on e‐learning acceptance
Cheng, Y. (2012) · Internet Research · doi:10.1108/10662241211235699 · Cited by 250 · see citing works
Hoehle, H., Scornavacca, E., & Huff, S. L. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.04.010 · Cited by 256 · see citing works
Chen, I. Y. L. (2007) · Journal of Information Science · doi:10.1177/0165551506075323 · Cited by 247 · see citing works
Understanding mobile shopping consumers’ continuance intention
Shang, D., & Wu, W. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-02-2016-0052 · Cited by 257 · see citing works
The intellectual development of the technology acceptance model: A co-citation analysis
Hsiao, C., & Yang, C. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.07.003 · Cited by 240 · see citing works
Sánchez‐Franco, M. J., Ramos, Á. F. V., & Martín‐Velicia, F. A. (2009) · Information & Management · doi:10.1016/j.im.2009.02.001 · Cited by 235 · see citing works
How the Covid-19 Pandemic Is Changing Online Food Shopping Human Behaviour in Italy
Alaimo, L. S., Fiore, M., & Galati, A. (2020) · Sustainability · doi:10.3390/su12229594 · Cited by 237 · see citing works
Hung, S., Hung, W.-H. J., Tsai, C.-A., & Jiang, S.-C. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.11.009 · Cited by 228 · see citing works
Ngai, E. W. T. (2005) · Marketing Intelligence & Planning · doi:10.1108/02634500510624147 · Cited by 387 · see citing works
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114241 · Cited by 273 · see citing works
Daragmeh, A., Sági, J., & Zéman, Z. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7020132 · Cited by 270 · see citing works
Factors affecting online repurchase intention
Lin, C., & Lekhawipat, W. (2014) · Industrial Management & Data Systems · doi:10.1108/imds-10-2013-0432 · Cited by 243 · see citing works
Emotional brand attachment: a factor in customer-bank relationships
Levy, S., & Hino, H. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2015-0092 · Cited by 244 · see citing works
A multi-analytical approach to peer-to-peer mobile payment acceptance prediction
Kalinić, Z., Marinković, V., Molinillo, S., & Liébana-Cabanillas, F. J. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.016 · Cited by 235 · see citing works
Kang, Y. S., & Lee, H. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.006 · Cited by 226 · see citing works
Expectation–Confirmation Theory in Information System Research: A Review and Analysis
Hossain, M. A., & Quaddus, M. (2011) · Integrated series on information systems/Integrated series in information systems · doi:10.1007/978-1-4419-6108-2_21 · Cited by 229 · see citing works
The role of loyalty programs in behavioral and affective loyalty
Gómez, B. G., Arranz, A. M. G., & Cillán, J. G. (2006) · Journal of Consumer Marketing · doi:10.1108/07363760610712920 · Cited by 222 · see citing works
What influences college students to continue using business simulation games? The Taiwan experience
Tao, Y., Cheng, C.-J., & Sun, S. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.009 · Cited by 218 · see citing works
Social Word of Mouth: How Trust Develops in the Market
Hajli, N., Lin, X., Featherman, M. S., & Wang, Y. (2014) · International Journal of Market Research · doi:10.2501/ijmr-2014-045 · Cited by 219 · see citing works
Zhou, Z.-Y., Jin, X.-L., & Fang, Y.-L. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.05.004 · Cited by 236 · see citing works
Chiu, W., Cho, H., & Chi, C. G.-Q. (2020) · Information Technology and People · doi:10.1108/itp-09-2019-0463 · Cited by 226 · see citing works
Do, H.-N., Shih, W.-R., & Ha, Q.-A. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04667 · Cited by 197 · see citing works
Shiau, W., & Luo, M. M. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.671851 · Cited by 216 · see citing works
E‐services and offline fulfilment: how e‐loyalty is created
Semeijn, J., van Riel, A. C. R., van Birgelen, M., & Streukens, S. (2005) · Managing Service Quality · doi:10.1108/09604520510585361 · Cited by 212 · see citing works
Generation Y consumer online repurchase intention in Bangkok
Zhu, B., Kowathanakul, S., & Satanasavapak, P. (2019) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-04-2018-0071 · Cited by 234 · see citing works
Liu, F., Lim, E. T. K., Li, H., Tan, C., & Cyr, D. (2019) · Information & Management · doi:10.1016/j.im.2019.103199 · Cited by 212 · see citing works
Floh, A., & Treiblmaier, H. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.2585491 · Cited by 202 · see citing works
User behaviour in QR mobile payment system: the QR Payment Acceptance Model
Liébana-Cabanillas, F. J., de Luna, I. R., & Montoro-Ríos, F. J. (2015) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2015.1047757 · Cited by 213 · see citing works
Impact of social commerce constructs and social support on social commerce intentions
Sheikh, Z., Liu, Y., Islam, T., Hameed, Z., & Khan, I. U. (2019) · Information Technology and People · doi:10.1108/itp-04-2018-0195 · Cited by 221 · see citing works
The state of CRM adoption by the financial services in the UK: an empirical investigation
Karakostas, B., Kardaras, D. K., & Papathanassiou, E. A. (2004) · Information & Management · doi:10.1016/j.im.2004.08.006 · Cited by 200 · see citing works
Understanding post-adoption behaviors of e-service users in the context of online travel services
Li, H., & Yong, L. (2014) · Information & Management · doi:10.1016/j.im.2014.07.004 · Cited by 207 · see citing works
Understanding the evolution of consumer trust in mobile commerce: a longitudinal study
Lin, J., Wang, B., Wang, N., & Lu, Y. (2013) · Information Technology and Management · doi:10.1007/s10799-013-0172-y · Cited by 201 · see citing works
Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective
Kohli, R., Devaraj, S., & Mahmood, M. A. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045796 · Cited by 203 · see citing works
Luo, M. M., Chea, S., & Chen, J. (2010) · Decision Support Systems · doi:10.1016/j.dss.2010.11.015 · Cited by 196 · see citing works
A study on factors affecting service quality and loyalty intention in mobile banking
Zhou, Q., Lim, F. J., Yu, H., Xu, G., Ren, X., Liu, D., Wang, X., Mai, X., & Xu, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102424 · Cited by 250 · see citing works
- Authors
- Bhattacherjee, A.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Bhattacherjee, Anol
- ORCID
- Bhattacherjee, Anol
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2001-12
- Volume
- 32
- Issue
- 2
- Pages
- 201-214
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2103356704
- Cited by
- 1,441
- References
- 18
- Citations by year
- 2026: 46 · 2025: 70 · 2024: 97 · 2023: 102 · 2022: 101 · 2021: 83 · 2020: 90 · 2019: 69 · 2018: 67 · 2017: 56 · 2016: 55 · 2015: 65 · 2014: 78 · 2013: 68 · 2012: 80
- FWCI
- 24.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Decision Support Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- e-commerce, continuance intention, B2C e-commerce, online brokerage, customer satisfaction, perceived usefulness, expectation confirmation, customer relationship management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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