Managing User Trust in B2C e-Services
Abstract
One of the major differences between B2C e-services (Business to Consumer Internet-based services) and the more traditional types of consumer services is that websites of e-services frequently lack the social presence of the physical services. This lack of social presence may impede the growth of B2C by hindering the development of consumer trust in the service provider. Human interaction, or at least the belief that the system has characteristics of social presence, is believed to be critical in the creation of trust. Trust itself is a major issue affecting the phenomenal growth rate of e-commerce, according to industry sources and recent academic studies. This study examines the effect of social presence on consumer trust in e-services and the relative importance of consumer trust in comparison with the widely studied TAM (Technology Acceptance Model) beliefs. In a free simulation experiment, 161 MBA student subjects assessed Travelocity.com, a popular online travel agency. Findings show that social presence, indeed, affects consumer trust and that trust subsequently has a stronger effect on purchase intentions than TAM beliefs. Implications for e-services are discussed in terms of whether the benefits from adopting an IT depend more on website characteristics like usefulness and ease of use or on consumer trust in the vendor. Managing e-services calls for managing the trust that is engendered in the customer experience on the website. Firms that excel in instilling high degrees of social presence in their websites may prosper more than those that do not.
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Trust is an essential prerequisite for adopting systems.
“Trust is an essential prerequisite for adopting systems [63,64]”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [64]
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741 · see citing works
Lewis, J. D., & Weigert, A. (1985) · Social Forces · doi:10.2307/2578601 · Cited by 4,163 · see citing works
Information richness. A new approach to managerial behavior and organization design
Daft, R. L., & Lengel, R. H. (1983) · doi:10.21236/ada128980 · Cited by 2,263 · cited 1× · see citing works
“Because some media can convey more information than others and better reduce equivocality and ambiguity, these channels are a better fit for certain tasks (Daft and Lengel, 1984).”
BackgroundDeutsch, M. (1958) · Journal of Conflict Resolution · doi:10.1177/002200275800200401 · Cited by 2,077 · see citing works
Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901 · see citing works
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Cited by
Sorted by citations
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715 · see citing works
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550 · see citing works
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351 · see citing works
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
Ha, S., & Stoel, L. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.06.016 · Cited by 1,353 · see citing works
Trust and risk in e-government adoption
Bélanger, F., & Carter, L. (2008) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2007.12.002 · Cited by 1,235 · see citing works
AI-based chatbots in customer service and their effects on user compliance
Adam, M., Wessel, M., & Benlian, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00414-7 · Cited by 1,195 · see citing works
Go, E., & Sundar, S. S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.020 · Cited by 1,089 · see citing works
A Systematic Review of Social Presence: Definition, Antecedents, and Implications
Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2018.00114 · Cited by 1,032 · see citing works
Hassanein, K., & Head, M. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.018 · Cited by 986 · see citing works
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 · see citing works
Qiu, L., & Benbasat, I. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222250405 · Cited by 737 · see citing works
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636 · see citing works
EVERARD, A., & GALLETTA, D. F. (2005) · Journal of Management Information Systems · doi:10.2753/mis0742-1222220303 · Cited by 451 · see citing works
Transparency and trust in artificial intelligence systems
Schmidt, P., Biessmann, F., & Teubner, T. (2020) · Journal of Decision Systems · doi:10.1080/12460125.2020.1819094 · Cited by 440 · see citing works
Liu-Thompkins, Y., Okazaki, S., & Li, H. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00892-5 · Cited by 441 · see citing works
What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model
Singh, S., Sahni, M. M., & Kovid, R. K. (2020) · Management Decision · doi:10.1108/md-09-2019-1318 · Cited by 433 · see citing works
Lateral Exchange Markets: How Social Platforms Operate in a Networked Economy
Perren, R., & Kozinets, R. V. (2018) · Journal of Marketing · doi:10.1509/jm.14.0250 · Cited by 396 · see citing works
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406 · see citing works
Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors
Ortega Egea, J. M., & Román González, M. V. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.010 · Cited by 287 · see citing works
Dabholkar, P. A., & Sheng, X. (2012) · The Service Industries Journal · doi:10.1080/02642069.2011.624596 · Cited by 256 · see citing works
Creepiness: Its antecedents and impact on loyalty when interacting with a chatbot
Rajaobelina, L., Prom Tep, S., Arcand, M., & Ricard, L. (2021) · Psychology & Marketing · doi:10.1002/mar.21548 · Cited by 252 · see citing works
Wang, W., & Benbasat, I. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240410 · Cited by 241 · see citing works
Gamal Aboelmaged, M. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011030042 · Cited by 240 · see citing works
Kim, D., & Benbasat, I. (2006) · Information Systems Research · doi:10.1287/isre.1060.0093 · Cited by 239 · see citing works
Predicting consumer responses to a chatbot on facebook
Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0518 · Cited by 229 · see citing works
Elbeltagi, I., & Agag, G. (2016) · Internet Research · doi:10.1108/intr-10-2014-0244 · Cited by 232 · see citing works
System design effects on online impulse buying.
Ning Shen, K., & Khalifa, M. (2012) · Internet Research · doi:10.1108/10662241211250962 · Cited by 226 · see citing works
The relationship between website quality, trust and price premiums at online auctions
Gregg, D. G., & Walczak, S. (2010) · Electronic Commerce Research · doi:10.1007/s10660-010-9044-2 · Cited by 208 · see citing works
O’Leary, M. B., Wilson, J. M., & Metiu, A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.4.13 · Cited by 191 · see citing works
Post-adoption behaviors of e-service customers: The interplay of cognition and emotion
Chea, S., & Luo, M. M. (2008) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415120303 · Cited by 188 · see citing works
Purchase decision of generation Y in an online environment
Prasad, S., Garg, A., & Prasad, S. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-02-2018-0070 · Cited by 172 · see citing works
Social interaction and continuance intention in online auctions: A social capital perspective
Wang, J.-C., & Chiang, M.-J. (2009) · Decision Support Systems · doi:10.1016/j.dss.2009.04.013 · Cited by 133 · see citing works
Connolly, R., & Bannister, F. (2007) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000071 · Cited by 132 · see citing works
E-government diffusion: a comparison of adoption constructs
Carter, L. (2008) · Transforming Government: People, Process and Policy · doi:10.1108/17506160810902167 · Cited by 112 · see citing works
Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers
Liu, B. Q., & Goodhue, D. L. (2012) · Information Systems Research · doi:10.1287/isre.1120.0424 · Cited by 111 · see citing works
Hey Google, Can I Ask You Something in Private?
Cho, E. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300488 · Cited by 88 · see citing works
Cho, E., Molina, M. D., & Wang, J. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2018.0571 · Cited by 87 · see citing works
Nienaber, A.-M., Hofeditz, M., & H. Searle, R. (2014) · International Journal of Bank Marketing · doi:10.1108/ijbm-12-2013-0146 · Cited by 74 · see citing works
Trustworthiness in B2C e-commerce: an examination of alternative models
Serva, M. A., Benamati, J. "., & Fuller, M. A. (2005) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/1080390.1080397 · Cited by 72 · see citing works
Drivers of Consumer Adoption of e-Commerce: a Meta-Analysis
Zerbini, C., Bijmolt, T. H. A., Maestripieri, S., & Luceri, B. (2022) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2022.04.003 · Cited by 68 · see citing works
An Examination of Factors Associated with User Acceptance of Social Shopping Websites
Shen, J., & Eder, L. B. (2011) · International Journal of Technology and Human Interaction · doi:10.4018/jthi.2011010102 · Cited by 65 · see citing works
Kuhail, M. A., Thomas, J., Alramlawi, S., Shah, S. J. H., & Thornquist, E. (2022) · Informatics · doi:10.3390/informatics9040081 · Cited by 59 · see citing works
Wang, Y.-Y., Luse, A., Townsend, A. M., & Mennecke, B. E. (2015) · Information Systems and e-Business Management · doi:10.1007/s10257-014-0269-9 · Cited by 54 · see citing works
Managing consumer trust in e-commerce: evidence from advanced versus emerging markets
Quintus, M., Mayr, K., Hofer, K. M., & Chiu, Y. T. (2024) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2023-0609 · Cited by 42 · see citing works
Teubner, T., Adam, M., Camacho, S., & Hassanein, K. (2022) · Information Systems Management · doi:10.1080/10580530.2020.1871533 · Cited by 17 · see citing works
Social presence and use of Internet-delivered interventions: a multi-method approach
Crutzen, R., Cyr, D., Larios, H., Ruiter, R. A. C., & de Vries, N. K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057067 · Cited by 12 · see citing works
- Authors
- Gefen, & Straub
- Venue
- e-Service Journal
- Publisher
- Indiana University Press
- Published
- 2003
- Volume
- 2
- Issue
- 2
- Pages
- 7
- ISSN
- 1528-8226 (ISSN-L)
- OpenAlex
- W2166061228
- Cited by
- 1,074
- References
- 6
- Citations by year
- 2026: 37 · 2025: 45 · 2024: 45 · 2023: 55 · 2022: 59 · 2021: 60 · 2020: 70 · 2019: 40 · 2018: 45 · 2017: 40 · 2016: 56 · 2015: 59 · 2014: 61 · 2013: 66 · 2012: 65
- FWCI
- 55.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- e-Service Journal (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
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- consumer trust, social presence, e-commerce, technology acceptance model, purchase intention, online travel agencies, website usability, perceived usefulness, perceived ease of use
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