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E-satisfaction: an initial examination
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Cites
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
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
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
Customer Satisfaction: A Meta-Analysis of the Empirical Evidence
Szymanski, D. M., & Henard, D. H. (2001) · Journal of the Academy of Marketing Science · doi:10.1177/0092070301291002 · Cited by 2,002
Self-citationExploring the implications of the Internet for consumer marketing
Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997) · Journal of the Academy of Marketing Science · doi:10.1177/0092070397254005 · Cited by 1,373
Cited by
Parasuraman (2005) · doi:10.1177/1094670504271156 · Cited by 3,967
Customer experience creation: Determinants, dynamics and management strategies
Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2008.11.001 · Cited by 3,140
Service quality delivery through web sites: a critical review of extant knowledge
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/009207002236911 · Cited by 2,729
eTailQ: dimensionalizing, measuring and predicting etail quality
Wolfinbarger, M., & Gilly, M. C. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00034-4 · Cited by 2,340
Dabholkar, P. A., & Bagozzi, R. P. (2002) · Journal of the Academy of Marketing Science · doi:10.1177/0092070302303001 · Cited by 1,898
The influence of online product recommendations on consumers' online choices
Senecal, S., & Nantel, J. (2004) · Journal of Retailing · doi:10.1016/j.jretai.2004.04.001 · Cited by 1,585
E‐service quality: a model of virtual service quality dimensions
Santos, J. (2003) · Managing Service Quality: An International Journal · doi:10.1108/09604520310476490 · Cited by 1,542
The four levels of loyalty and the pivotal role of trust: a study of online service dynamics
Harris, L. C., & Goode, M. M. H. (2004) · Journal of Retailing · doi:10.1016/j.jretai.2004.04.002 · Cited by 1,425
Chiu, C., Wang, E. T. G., Fang, Y., & Huang, H. (2014) · Information Systems Journal · doi:10.1111/j.1365-2575.2012.00407.x · Cited by 1,332
Identifying key factors affecting consumer purchase behavior in an online shopping context
Park, C., & Kim, Y. (2003) · International Journal of Retail & Distribution Management · doi:10.1108/09590550310457818 · Cited by 914
Comfort Your Online Customer: Quality, Trust and Loyalty on the Internet
Ribbink, D., van Riel, A. C. R., Liljander, V., & Streukens, S. (2004) · Managing Service Quality: An International Journal · doi:10.1108/09604520410569784 · Cited by 872
An online prepurchase intentions model
Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(01)00051-3 · Cited by 797
Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty
Cyr, D. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240402 · Cited by 766
Bai, B., Law, R., & Wen, I. (2008) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2007.10.008 · Cited by 749
Bolton, R. N., Lemon, K. N., & Verhoef, P. C. (2004) · Journal of the Academy of Marketing Science · doi:10.1177/0092070304263341 · Cited by 741
Kassim, N., & Asiah Abdullah, N. (2010) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/13555851011062269 · Cited by 685
JIANG, Z., & BENBASAT, I. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045817 · Cited by 606
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
Colour appeal in website design within and across cultures: A multi-method evaluation
Cyr, D., Head, M., & Larios, H. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.08.005 · Cited by 511
Jin, N. P., Lee, S., & Lee, H. (2015) · International Journal of Tourism Research · doi:10.1002/jtr.1968 · Cited by 463
Park, C., & Jun, J. (2003) · International Marketing Review · doi:10.1108/02651330310498771 · Cited by 414
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
The moderating effect of customer perceived value on online shopping behaviour
Hsin Chang, H., & Wang, H. (2011) · Online Information Review · doi:10.1108/14684521111151414 · Cited by 398
Aesthetics and the online shopping environment: Understanding consumer responses.
Wang, Y. J., Minor, M. S., & Wei, J. (2011) · Journal of Retailing · doi:10.1016/j.jretai.2010.09.002 · Cited by 390
Predicting online purchase intentions for clothing products.
Young Kim, E., & Kim, Y. (2004) · European Journal of Marketing · doi:10.1108/03090560410539302 · Cited by 383
Effect of brand familiarity, experience and information on online apparel purchase
Park, J., & Stoel, L. (2005) · International Journal of Retail & Distribution Management · doi:10.1108/09590550510581476 · Cited by 348
Constituents and consequences of smart customer experience in retailing
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.09.022 · Cited by 348
E-satisfaction: A re-examination
EVANSCHITZKY, H., IYER, G., HESSE, J., & AHLERT, D. (2004) · Journal of Retailing · doi:10.1016/j.jretai.2004.08.002 · Cited by 343
Hsieh, J.-K., Hsieh, Y.-C., Chiu, H.-C., & Feng, Y.-C. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.05.010 · Cited by 291
Signaling the Trustworthiness of Small Online Retailers
Wang, S., Beatty, S. E., & Foxx, W. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10071 · Cited by 287
Beyond Trust: Web Site Design Preferences Across Cultures
Cyr, D., Bonanni, C., Bowes, J., & Ilsever, J. (2005) · Journal of Global Information Management · doi:10.4018/jgim.2005100102 · Cited by 268
Factors influencing satisfaction and loyalty in online shopping: an integrated model
Lin, G. T. R., & Sun, C. (2009) · Online Information Review · doi:10.1108/14684520910969907 · Cited by 241
The fluent online shopping experience.
Mosteller, J., Donthu, N., & Eroglu, S. (2014) · Journal of Business Research · doi:10.1016/j.jbusres.2014.03.009 · Cited by 230
E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction
Ayo, C. K., Oni, A. A., Adewoye, O. J., & Eweoya, I. O. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-12-2014-0175 · Cited by 206
CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions
Verhoef, P. C., Venkatesan, R., McAlister, L., Malthouse, E. C., Krafft, M., & Ganesan, S. (2010) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2010.02.009 · Cited by 160
Mobile shopping motivation: an application of multiple discriminant analysis
Yang, K., & Kim, H. (2012) · International Journal of Retail & Distribution Management · doi:10.1108/09590551211263182 · Cited by 160
Tandon, U., Kiran, R., & Sah, A. N. (2018) · Information Systems and e-Business Management · doi:10.1007/s10257-017-0341-3 · Cited by 157
Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience.
Rajamma, R. K., Paswan, A. K., & Hossain, M. M. (2009) · Journal of Product & Brand Management · doi:10.1108/10610420910957816 · Cited by 153
Buying environment characteristics in the context of e‐service
Kim, J., Kim, M., & Kandampully, J. (2009) · European Journal of Marketing · doi:10.1108/03090560910976438 · Cited by 136
Facilitating the adoption of e-payment systems: theoretical constructs and empirical analysis.
Özkan, S., Bindusara, G., & Hackney, R. (2010) · Journal of Enterprise Information Management · doi:10.1108/17410391011036085 · Cited by 130
Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior
Hostler, R. E., Yoon, V. Y., Guo, Z., Guimaraes, T., & Forgionne, G. (2011) · Information & Management · doi:10.1016/j.im.2011.08.002 · Cited by 117
Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis
Daştan, İ., & Gürler, C. (2016) · EMAJ: Emerging Markets Journal · doi:10.5195/emaj.2016.95 · Cited by 116
The reluctant Hong Kong consumer: Purchasing travel online
Kolsaker, A., Lee‐Kelley, L., & Choy, P. C. (2004) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2004.00373.x · Cited by 116
Arora, N., & Aggarwal, A. (2018) · South Asian Journal of Business Studies · doi:10.1108/sajbs-04-2017-0048 · Cited by 108
Comegys, C., Hannula, M., & Väisänen, J. (2006) · Journal of Targeting, Measurement and Analysis for Marketing · doi:10.1057/palgrave.jt.5740193 · Cited by 82
Assessing the Benefits of ChatGPT for Business: An Empirical Study on Organizational Performance
Chu, M.-N. (2023) · IEEE Access · doi:10.1109/access.2023.3297447 · Cited by 69
E-Service Quality: A Meta-Analytic Review
Blut, M., Chowdhry, N., Mittal, V., & Brock, C. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.05.004 · Cited by 65
Loyalty in e-Tailing: A Conceptual Framework
Grewal, D., Lindsey-Mullikin, J., & Munger, J. (2004) · Journal of Relationship Marketing · doi:10.1300/j366v02n03_03 · Cited by 48
Design and e-loyalty across cultures in electronic commerce
Cyr, D., Bonanni, C., & ilsever, J. (2004) · Proceedings of the 6th international conference on Electronic commerce - ICEC '04 · doi:10.1145/1052220.1052265 · Cited by 45
Online Travel Planning and College Students: The Spring Break Experience
Bai, B., Hu, C., Elsworth, J., & Countryman, C. (2004) · Journal of Travel & Tourism Marketing · doi:10.1300/j073v17n02_07 · Cited by 36
G., R., & Asokan-Ajitha, A. (2021) · Journal of Indian Business Research · doi:10.1108/jibr-04-2018-0132 · Cited by 30
Electronic Banking Service Quality: Perception of Customers in the Greater Accra Region of Ghana
Tetteh, J. E. (2022) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1870340 · Cited by 25
Customer behavior toward online insurance services in India
Khare, A., Dixit, S., Chaudhary, R., Kochhar, P., & Mishra, S. (2012) · Journal of Database Marketing & Customer Strategy Management · doi:10.1057/dbm.2012.14 · Cited by 18
Critical Success Factors of Open Markets on the Internet in Terms of Buyers
Ha, S. H., & Liu, L. T. (2010) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-642-16283-1_31 · Cited by 6
Metadata
- Authors
- Szymanski, D. M., & Hise, R. T.
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2000-07
- Volume
- 76
- Issue
- 3
- Pages
- 309-322
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W2022727669
- Cited by
- 2,002
- References
- 5
- FWCI
- 62.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.