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Online Purchase Intentions: An Empirical Testing of a Multiple-Theory Model
Abstract
Security and privacy issues have drawn much attention in the electronic commerce research area, and e-vendors have adjusted their online shopping systems to convince customers that vendors and systems are trustworthy. Therefore, this study concentrates on how consumers choose their purchasing channel when the environment is relatively secure. Is the choice based on preferring conversation with customer service, complexity of product, prior online shopping experience, social influence or perception of system usefulness or ease-of-use? The technology acceptance model, media richness theory and social influence model were combined in a research model tested with a Web survey. Based on the responses of 1,501 customers of a passenger cruise company, prior experience of traditional and online channels and perceived usefulness had a substantial effect on behavioral intention to use the online channel in the future.
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“This finding is in sync with some studies Jarvelainen (2007) and Khalifa and Limayem (2003) where friends, relatives and media (Subjective Norm) has been an important factor influencing the online shopping behavior but not with others like Wang et.al (2007) where it subjective norm has not been significant.”
From An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012) · cites this paper as Jarvelainen (2007)
Citations
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Devaraj, S., Fan, M., & Kohli, R. (2002) · Information Systems Research · doi:10.1287/isre.13.3.316.77 · Cited by 1,205
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Cited by
Sorted by citations
An Analysis of Factors Affecting on Online Shopping Behavior of Consumers
Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012) · International Journal of Marketing Studies · doi:10.5539/ijms.v4n5p81 · Cited by 383
“This finding is in sync with some studies Jarvelainen (2007) and Khalifa and Limayem (2003) where friends, relatives and media (Subjective Norm) has been an important factor influencing the online shopping behavior but not with others like Wang et.al (2007) where it subjective norm has not been…”
ResultCho, Y. C., & Sagynov, E. (2015) · International Journal of Management & Information Systems (IJMIS) · doi:10.19030/ijmis.v19i1.9086 · Cited by 313
Consumers' acceptance of information and communications technology in tourism: A review
Ukpabi, D., & Karjaluoto, H. (2017) · Telematics and informatics · doi:10.1016/j.tele.2016.12.002 · Cited by 295
“…of the TAM model in predicting technology adoption at the individual level required that some studies combine the theory with other models (Casaló,et al., 2011; Jarvelainen, 2007) and extend the theory by adding other constructs (Ayeh et al., 2013; Herrero & Martin, 2012; Morosan & Jeong, 2008).”
BackgroundMethodHess, T. J., McNab, A. L., & Basoglu, K. A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.01 · Cited by 242
Consumer decision-making across modern and traditional channels: E-commerce, m-commerce, in-store
Maity, M., & Dass, M. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.01.008 · Cited by 227
“The more a medium incorporates these elements, the richer it is [3,8,12,31,33].”
Background
Metadata
- Authors
- Järveläinen, J.
- Affiliations
- Turku Centre for Computer Science (FI)
- Corresponding author
- Järveläinen, Jonna
- ORCID
- Järveläinen, Jonna
- Venue
- Journal of Organizational Computing and Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2007-04-11
- Volume
- 17
- Issue
- 1
- Pages
- 53-74
- ISSN
- 1054-1721 (ISSN-L)
- 1091-9392
- 1532-7744
- OpenAlex
- W1538500529
- Cited by
- 86
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 5 · 2018: 6 · 2017: 5 · 2016: 2 · 2015: 5 · 2014: 5 · 2013: 13 · 2012: 9
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Organizational Computing and Electronic Commerce (publishedVersion)
- Journal of Organizational Computing and Electronic Commerce
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- online purchase intention, technology acceptance model, media richness theory, social influence, perceived usefulness, perceived ease of use, e-commerce trust, consumer behavior
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