The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
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
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Building Effective Online Marketplaces with Institution-Based Trust
Pavlou, P. A., & Gefen, D. (2004) · Information Systems Research · doi:10.1287/isre.1040.0015 · Cited by 2,516
Understanding online purchase intentions: contributions from technology and trust perspectives
van der Heijden, H., Verhagen, T., & Creemers, M. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000445 · Cited by 1,230
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
Research works printed but not linked: 79
- Kim , D. and Benbasat , I. 2003 . Trust-related arguments in Internet stores: A framework for evaluation . Journal of Electronic Commerce Research , vol. 4 : 49 – 64 . ,“,”,no. 2,pp.
- 10.1080/1019678032000092246 · DOI
- Gefen , D. , Karahanna , E. and Straub , D. W. Trust and TAM in online shopping: An integrated model . MIS Quarterly , vol. 27 51 – 90 . ,“,”,pp. , Mar. 2003. · DOI · Paper page
- 10.1362/026725700785045967 · DOI
- Liu , C. and Arnett , K. P. 2002 . An examination of privacy policies in Fortune 500 Web sites . Mid-American Journal of Business , vol. 17 ( no. 1 ) : 13 – 21 . ,“,”,pp. · DOI
- 10.1080/1478336032000053825 · DOI
- Berry , L. L. Cultivating service brand equity . Journal of the Academy of Marketing Sci. , vol. 28 128 – 137 . ,“,”,pp. , Jan. 2000. · DOI
- Stewart , K. J. Trust transfer on the World Wide Web . Organization Sci. , vol. 14 5 – 17 . ,“,”,pp. , Jan./Feb. 2003. · DOI · Paper page
- 10.1080/1360083032000106917 · DOI
- Barua , A. , Konana , P. , Whinston , A. B. and Yin , F. Driving e-business excellence . MIT Sloan Management Review , vol. 43 36 – 44 . ,“,”,pp. , Fall 2001.
- Rust , R. T. and Kannan , P. K. E-service: A new paradigm for business in the electronic environment . Comm. of the ACM , vol. 46 37 – 42 . ,“,”,pp. , Jun. 2003.
- Markkinointi and Mainonta . “ Markkinointi & Mainonta ” . In Arvostetuimmat brändit 2004 [The most valued brands 2004 18 – 20 . ,“],”, no. 30,pp. , Oct. 1, 2004.
- Shim , J. P. , Shin , Y. B. and Nottingham , L. 2002 . Retailer Web site influence on customer shopping: An exploratory study on key factors of customer satisfaction . Journal of the Assn. for Information Sys. , vol. 3 ( no. 3 ) : 53 – 76 . ,“,”,pp.
- Khalifa , M. and Limayem , M. Drivers of Internet shopping . Comm. of the ACM , vol. 46 233 – 239 . ,“,”,pp. , Dec. 2003. · DOI · Paper page
- Dholakia , U. and Bagozzi , R. P. 2001 . “ Digital Marketing: Global Strategies From the World's Leading Experts ” . In Consumer behavior in digital environments Edited by: Wind , J. and Mahajan , V. 163 – 200 . New York : Wiley . ,“,” in, Eds.,pp.
- 10.2307/1251841 · DOI
- 10.1016/S0167-9236(00)00076-2 · DOI
- Perea y Monsuwé , T. , Dellaert , B. G. C. and Ruyter , K. d. 2004 . What drives consumers to shop online? A literature review . Int. Journal of Service Industry Management , vol. 15 ( no. 1 ) : 102 – 121 . · DOI
- Grover , V. and Ramanlal , P. 1999 . Six myths of information and markets: Information technology networks, electronic commerce, and the battle for consumer surplus . MIS Quarterly , vol. 23 : 465 – 495 . ,“,”,pp. , Dec. · DOI
- Anckar , B. and Walden , P. 2001 . Self-booking of high and low complexity travel products: Exploratory findings . Information Tech. and Tourism , vol. 4 ( no. 3 ) : 151 – 165 . ,“,”,pp. · DOI
- O'Connor , P. 2001 . Room rates on the Internet—Is the Web really cheaper? . Journal of Services Res. , vol. 1 ( no. 1 ) : 57 – 72 . ,“,”,pp.
- Venkatesh , V. and Morris , M. G. Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior . MIS Quarterly , vol. 24 115 – 139 . ,“,”,pp. , Mar. 2000. · DOI · Paper page
- 10.1287/mnsc.35.8.982 · DOI · Paper page
- 10.1207/S15327744JOCE1302_3 · DOI
- 10.1016/S0378-7206(01)00127-6 · DOI
- 10.1016/S0378-7206(01)00143-4 · DOI · Paper page
- 10.1108/10662240310478222 · DOI
- 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- 10.1016/j.dss.2003.08.001 · DOI
- Öörni , A. 2002 . Consumer search in electronic markets ,“,” Helsinki School of Economics and Business Administration, unpublished doctoral dissertation,
- 10.1111/j.1540-5915.1997.tb01335.x · DOI
- Westmyer , S. A. , DiCioccio , R. L. and Rubin , R. B. 1998 . Appropriateness and effectiveness of communication channels in competent interpersonal communication . Journal of Communication , vol. 48 : 27 – 48 . ,“,”,pp. , Summer · DOI
- 10.1108/07363760210433645 · DOI
- 10.1111/j.1468-2958.1993.tb00309.x · DOI
- McCole , P. and Palmer , A. 2002 . Transaction frequency and trust in Internet buying behaviour . Irish Marketing Rev. , vol. 15 ( no. 2 ) : 35 – 50 . ,“,”,pp.
- Miyazaki , A. D. and Fernandez , A. Consumer perceptions of privacy and security risks for online shopping . Journal of Consumer Affairs , vol. 35 27 – 44 . ,“,”,pp. , Summer 2001. · DOI
- 10.1287/mksc.19.1.22.15184 · DOI
- 10.1108/07363760210414943 · DOI
- 10.4018/joeuc.2003070101 · DOI
- Limayem , M. and Hirt , S. G. 2003 . Force of habit and information systems usage: Theory and initial validation . Journal of the Assn. for Information Sys. , vol. 4 ( no. 3 ) : 65 – 97 . ,“,”,pp.
- Lowengart , O. and Tractinsky , N. 2001 . Differential effects of product category on shoppers' selection of Web-based stores: A probabilistic modeling approach . Journal of Electronic Commerce Res. , vol. 2 ( no. 4 ) : 12 – 26 . ,“,”,pp.
- 10.1207/S15327744JOCE1301_2 · DOI
- 10.1007/978-3-7091-6363-4 · DOI · Paper page
- 10.2307/258790 · DOI
- 10.1287/mnsc.32.5.554 · DOI · Paper page
- 10.2307/248682 · DOI
- Kahai , S. S. and Cooper , R. B. Exploring the core concepts of media richness theory: The impact of cue multiplicity and feedback immediacy on decision quality . Journal of Management Information Sys. , vol. 20 263 – 299 . ,“,”,pp. , Summer 2003.
- 10.2307/256641 · DOI
- Fulk , J. , Schmitz , J. and Steinfeld , C. W. 1990 . “ Organizations and Communication Technology ” . In A social influence model of technology use 71 – 94 . CA: Sage : J. Fulk and C. W. Steinfield, Eds. Newbury Park . ,“,” in,pp.
- Rodgers , S. and Harris , M. A. Gender and e-commerce: An exploratory study . Journal of Advertising Res. , vol. 43 322 – 329 . ,“,”,pp. , Sept. 2003. · DOI · Paper page
- 10.1016/S0167-4870(02)00171-X · DOI
- Greenspan , R. Europe, U.S. on Different Sides of the Gender Divide .Jan. 2004. Nielsen/NetRatings. Retrieved January 8, 2004, from http://cyberatlas.internet.com/big_picture/demographics/article/0,,5901_3095681,00.html
- 10.1108/10610420410554412 · DOI
- 10.2979/ESJ.2003.2.3.71 · DOI
- Backhouse , J. , Hsu , C. and McDonnell , A. Toward public-key infrastructure interoperability . Comm. of the ACM , vol. 46 98 – 100 . ,“,”,pp. , Jun. 2003. · DOI
- Conry-Murray , A. Making the case for liberty . Network Magazine , vol. 19 30 – 44 . ,“,”,pp. , Aug. 2004.
- Nordea . Leading E-Services. Sept. 2004 .Retrieved September 29, 2004, from http://www.nordea.com/sitemod/default/index.aspx?pid=51942&strcorecontentarea=206
- 10.1287/isre.13.3.334.81 · DOI · Paper page
- Humphrey , T. 2000 . Does Internet research work? . Journal of the Market Research Society , vol. 42 ( no. 1 ) : 51 – 63 . ,“,”,pp.
- 10.1002/(SICI)1097-4571(2000)51:1<57::AID-ASI9>3.0.CO;2-W · DOI
- 10.3758/BF03195369 · DOI
- 10.1287/isre.9.3.256 · DOI
- 10.1207/S15327744JOCE100103 · DOI
- 10.1016/S0378-7206(98)00097-4 · DOI
- 2005 . Internetin ja sähköpostin käyttäjien määrä ennallaan [The number of Internet and e-mail users unchanged] . Tietoaika , vol. 11 ( no. 1 ) : 5 Statistics Finland,“,”,p.
- 10.1177/014920638601200408 · DOI · Paper page
- Woszczynski , A. B. and Whitman , M. E. 2003 . “ The Handbook of Information Systems Research ” . In The problem of common method variance in IS research Edited by: Whitman , M. E. and Woszczynski , A. B. 66 – 77 . Hershey, PA : Idea Group . ,“,” in, Eds.,pp.
- Nunnally , J. C. 1967 . Psychometric Theory New York : McGraw-Hill .
- Gefen , D. , Straub , D. W. and Boudreau , M. -C. 2000 . Structural equation modeling and regression: Guidelines for research practice . Comm. of the Assn. for Information Sys. , vol. 4 ( no. 7 ) : 1 – 79 . ,“,”,pp.
- 10.1287/isre.12.2.121.9700 · DOI · Paper page
- Shapiro , C. and Varian , H. R. 1999 . Information Rules: A Strategic Guide to the Network Economy Boston : Harvard Business School Press .
- 10.1287/mnsc.43.12.1676 · DOI · Paper page
- Burke , R. R. Technology and the customer interface: What consumers want in the physical and virtual store . Journal of Academy of Marketing Sci. , vol. 30 411 – 432 . ,“,”,pp. , Oct. 2002. · DOI
- Zauberman , G. The intertemporal dynamics of consumer lock-in . Journal of Consumer Res. , vol. 30 405 – 419 . ,“,”,pp. , Dec. 2002. · DOI
- 10.1509/jmkg.67.2.62.18615 · DOI · Paper page
- 10.1108/07363760210437632 · DOI
- 10.1108/02652320210446724 · DOI
- 10.1108/02634500210431630 · DOI
- Venkatesh , V. , Morris , M. G. , Davis , G. B. and Davis , F. D. User acceptance of information technology: Toward a unified view . MIS Quarterly , vol. 27 425 – 478 . ,“,”,pp. , Sept. 2003. · DOI · Paper page
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].”
BackgroundLimbu, Y. B., Wolf, M., & Lunsford, D. L. (2012) · Journal of Research in Interactive Marketing · doi:10.1108/17505931211265435 · Cited by 210
Çelik, H. E. (2011) · International Journal of Retail & Distribution Management · doi:10.1108/09590551111137967 · Cited by 167
Factors influencing mobile services adoption: a brand‐equity perspective
Wang, W., & Li, H. (2012) · Internet Research · doi:10.1108/10662241211214548 · Cited by 252
e-Shopping acceptance: A qualitative and meta-analytic review
Ingham, J., Cadieux, J., & Berrada, A. M. (2014) · Information & Management · doi:10.1016/j.im.2014.10.002 · Cited by 170
International buyers’ repurchase intentions in a Chinese cross-border e-commerce platform
Mou, J., Cohen, J. F., Dou, Y., & Zhang, B. (2019) · Internet Research · doi:10.1108/intr-06-2018-0259 · Cited by 113
Cha, J. (2013) · Telematics and Informatics · doi:10.1016/j.tele.2013.01.001 · Cited by 92
“Järveläinen (2007) suggested that the effect of the perceived ease of use is direct and central in accepting a technology that requires more time and labor.”
Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms
Huseynov, F., & Özkan-Yildirim, S. (2019) · SAGE Open · doi:10.1177/2158244019854639 · Cited by 85
“In this study, it was found that in all segments, consumers’ perceptions about usefulness of online shopping, compatibility of online shopping with consumers’ lifestyle, and PSP to engage in online shopping are positively related to formation of favorable attitudes toward online shopping.”
InfluentialChoe, J. Y., Kim, J. J., & Hwang, J. (2021) · Asian Journal of Technology Innovation · doi:10.1080/19761597.2021.2005466 · Cited by 56
“For example, the TAM was frequently applied in order to investigate the intention to use hotel websites or online travel bookings (Järveläinen, 2007; Jeong et al., 2003; Kamarulzaman, 2007).”
MethodUsage of video sharing websites: Drivers and barriers
Cha, J. (2014) · Telematics and informatics · doi:10.1016/j.tele.2012.01.003 · Cited by 47
Wang, E. S.-T., & Chou, N. P. (2015) · International Journal of Mobile Communications · doi:10.1504/ijmc.2016.073358 · Cited by 45
“For example, Jarvelainen (2007) suggested that someone who is meaningful to another person has a strong influence on his or her technology perceptions.”
BackgroundSocial influence in online retail: A review and research agenda
Kalia, P., Zia, A., & Kaur, K. (2023) · European Management Journal · doi:10.1016/j.emj.2022.09.012 · Cited by 43
Srinivasan, R. (2015) · Journal of Internet Commerce · doi:10.1080/15332861.2015.1008891 · Cited by 41
“In comparing the path coefficients, the subjective norm may be a more powerful influence than PU on PEoU, in contradiction to previous research (Jarvelainen 2007).”
ResultThe influence of perceived media richness of marketing channels on online channel usage
Lipowski, M., & Bondos, I. (2018) · Baltic Journal of Management · doi:10.1108/bjm-04-2017-0127 · Cited by 39
“According to the social influence, model media perceptions are partially subjective and socially constructed, and not merely based on objective media characteristics (as is the case in the media richness theory) ( Järveläinen, 2007).”
BackgroundA matter of value? Predicting channel preference and multichannel behaviors in retail
Acquila-Natale, E., & Iglesías-Pradas, S. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120401 · Cited by 44
A critique of the progress of eTourism technology acceptance research: time for a hike?
Pourfakhimi, S., Duncan, T., & Coetzee, W. J. L. (2019) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-08-2018-0077 · Cited by 37
Factors influencing online purchase intention of smartphones: A hierarchical regression analysis
Bringula, R., Moraga, S. D., Catacutan, A. E., Jamis, M. N., Mangao, D. F., & Wright, L. T. (2018) · doi:10.1080/23311975.2018.1496612 · Cited by 30
“They may opt to switch to traditional channel when they are not satisfied about the information they saw on the website (Järveläinen, 2007).”
BackgroundResultInfluentialTheocharis, D., Tsekouropoulos, G., Chatzigeorgiou, C., & Kokkinis, G. (2025) · Behavioral Science · doi:10.3390/bs15030371 · Cited by 27
“…et al., 2010; Filieri, 2015) Task ambiguity (Jarvelainen, 2007) Prior experience with online advertisement (Own development) Perceived social pressure (Jarvelainen, 2007) Advertising creativity (Yang & Smith, 2009) Perceived brand innovativeness (Calantone et al., 2006) Advertising awareness (Own…”
InfluentialJula, N.-M., Staicu, G. I., Moraru, L. C., & Bodislav, D. A. (2024) · Sustainability · doi:10.3390/su16093809 · Cited by 27
E-consumer conformity and its impact on consumer attitude
Khandelwal, U., Yadav, S. K., Tripathi, V., & Agrawal, V. (2018) · Journal of Asia Business Studies · doi:10.1108/jabs-09-2015-0161 · Cited by 25
Need for touch and two-way communication in e-commerce
Lee, Y. J., Yang, S. J., & Johnson, Z. S. (2017) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-04-2016-0035 · Cited by 24
Seneler, C., Basoglu, N., & Daim, T. (2009) · International Journal of Business Information Systems · doi:10.1504/ijbis.2009.025203 · Cited by 21
Wang, W.-T., & Lu, C.-C. (2014) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2014.866501 · Cited by 19
“This negative emotional evaluation will, in turn, negatively affect the purchase or repurchase intention (Holak and Lehmann 1990; Jahng et al. 2000; Jarvelainen 2007).”
BackgroundResultInfluentialTheocharis, D. (2025) · Businesses · doi:10.3390/businesses5030043 · Cited by 20
Fraud in Online Classified Ads: Strategies, Risks, and Detection Methods: A Survey
Alzghoul, J. R., Abdallah, E. E., & Alkhawaldeh, A. (2022) · Journal of Applied Security Research · doi:10.1080/19361610.2022.2124328 · Cited by 18
“…of making decisions based on misleading, inaccurate, or inappropriate information obtained through fraud or obtaining information from a victim for later use against him, as well as the fraudulent use of websites and pages communication and profiles (Arshad et al., 2015; J € arvel € ainen, 2007).”
BackgroundLow-Cost Carrier Passenger Repurchase Intention: A Structural Equation Model Analysis
Vuthisopon, S., & Srinuan, C. (2017) · Asia Pacific Social Science Review · doi:10.59588/2350-8329.1109 · Cited by 16
“However, security and privacy issues have drawn much attention in the electronic commerce research area, and e-vendors need to adjust their online systems to convince customers that vendors and systems are trustworthy (Järveläinen, 2007).”
BackgroundA Synthesis of Technology Acceptance Research in Tourism & Hospitality
Pourfakhimi, S., Duncan, T., & Coetzee, W. (2018) · Information and Communication Technologies in Tourism · doi:10.1007/978-3-319-72923-7_12 · Cited by 16
Katta, R., & Patro, C. (2016) · International Journal of Sociotechnology and Knowledge Development (IJSKD) · doi:10.4018/ijskd.2016100102 · Cited by 15
lainamngern, S., & Sawmong, S. (2019) · Journal of Business & Retail Management Research · doi:10.24052/jbrmr/v13is03/art-15 · Cited by 14
Allam, R., & Dinana, H. O. (2021) · SAGE Open · doi:10.1177/21582440211040804 · Cited by 17
“This resonates with Jarvelainen (2007) who said that the acceptance of a new technology is affected by the PEU of this technology.”
BackgroundReinventing the Customer Experience: Technology and the Service Marketing Mix
Lee, L. S., Meyer, T., & Smith, J. S. (2012) · Springer eBooks · doi:10.1007/978-1-4614-1554-1_9 · Cited by 12
Theocharis, D., Tsekouropoulos, G., Hoxha, G., & Simeli, I. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030161 · Cited by 20
Factors correlated with online travel service adoption: a meta-analysis
Zhu, Z., Liao, L.-H., & Hu, B. (2022) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-10-2020-0284 · Cited by 11
Mgaya, K. V., & Kitindi, E. (2009) · International Journal of Accounting Auditing and Performance Evaluation · doi:10.1504/ijaape.2009.026631 · Cited by 10
“This is again surprising because research continues to point to an increase in online business transactions (Rezaee, Lambert and Harmon, 2006; Nusair and Kandampully, 2008) and the thorny issues of security and controls over such transactions (Järveläinen, 2007; Nusair and Kandampully, 2008).”
ResultIs Value Sufficient? Empirical Research on the Impact of Value and Trust on Intention
Cheng, D., Han, J., & Song, Y. (2011) · Journal of Software · doi:10.4304/jsw.6.1.124-131 · Cited by 5
“Perceived Ease of Use (PEU) from Jarvelainen(2007) [29] PEU1 This website is easy to learn to use.”
BackgroundMethodInfluentialGupta, K. P., Joshi, D., & Singh, S. (2025) · Innovation & Management Review · doi:10.1108/inmr-08-2023-0141 · Cited by 7
Gharaibeh, M., & Gharaibeh, N. K. (2021) · International Journal of Sociotechnology and Knowledge Development (IJSKD) · doi:10.4018/ijskd.2021040103 · Cited by 7
A Conceptual Framework for Intention to Use Travel Apps: A Study From Emerging Markets
Gharaibeh, M., & Gharaibeh, N. K. (2022) · International Journal of Service Science Management Engineering and Technology · doi:10.4018/ijssmet.290333 · Cited by 6
“This justifies why maybe they choose to use traditional channels because of unconvinced concerns about on-line information (Järveläinen, 2007).”
BackgroundOnline Retailing: Purchasing Behaviour of Croatian Consumers
Matić, M., & Vojvodić, K. (2013) · Mediterranean Journal of Social Sciences · doi:10.5901/mjss.2013.v4n3p701 · Cited by 2
Danckwerts, S., Lischka, H. M., & Kenning, P. H. (2018) · Springer eBooks · doi:10.1007/978-3-658-22424-0_11 · Cited by 5
French, A. M., & Storey, V. (2021) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2021.1920187 · Cited by 3
Booking High-Complex Travel Products on the Internet: The Role of Trust, Convenience, and Attitude
Madlberger, M. (2016) · Web · doi:10.1007/978-3-319-69644-7_14 · Cited by 3
Notice of RetractionThe effectiveness of online sales promotion under different shopping experience
Zhao, L., & Wen, J.-H. (2010) · International Conference on Computer Application and System Modeling · doi:10.1109/iccasm.2010.5620437 · Cited by 3
RetractedFan, M., Shaw, M., & Zhang, H. (2016) · Lecture Notes in Business Information Processing · doi:10.1007/978-3-319-69644-7 · Cited by 3
Factors Influencing the Effectiveness of C2C Websites in Delhi-NCR
Bagga, T., & Chouhan, R. (2013) · doi:10.4018/978-1-4666-4209-6.ch011 · Cited by 3
Consumer shopping behaviour on the Internet: insights from Malaysia
Suki, N. (2013) · Electronic Commerce Research · doi:10.1007/s10660-013-9131-2 · Cited by 2
Advancements in Information Technology and Tourism Management: Four decades on the Internet
Li, K. Q., Zhang, K., & Law, R. (2025) · Journal of Smart Tourism · doi:10.1177/27652157251393805 · Cited by 2
“Numerous studies have explored the in fl uence of consumers in the technology adoption process, fi nding that psychological factors such as trust, security, privacy, and entertainment signi fi cantly affect technology acceptance (J¨arvel¨ainen, 2007; Kim et al., 2006, 2013; Lu et al., 2015).”
Buyer Insight and Satisfaction on E-Store Shopping
Patro, C. (2022) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.298691 · Cited by 2
Madlberger, M. (2014) · International Conference on Web Information Systems and Technologies · doi:10.1007/978-3-319-27030-2_13 · Cited by 2
Şen, Ö. (2019) · Social Sciences Studies Journal · doi:10.26449/sssj.1698 · Cited by 2
Madlberger, M. (2014) · International Conference on Web Information Systems and Technologies · doi:10.5220/0004804402470256 · Cited by 2
“TAM was augmented with various factors, such as trust and perceived risks (Nunkoo and Ramkissoon, 2013), task ambiguity, product complexity, and consumer experience (Järveläinen, 2007), or more comprehensive sets of variables like website content issues, previous visits, and accessibility (Kaplanidou and Vogt, 2006).”
BackgroundExploring Supportive and Deterrent Factors on Online Shopping in a Developing Country
Pusatlı, T., & Akman, İ. (2020) · International Journal of E-Adoption · doi:10.4018/ijea.2020070104 · Cited by 1
Kaur, I., Grewal, S., & Sidhu, S. (2018) · Journal of National Development · doi:10.29070/31/57432 · Cited by 1
“…internet experiences, can search and find information quickly and most of the people do not have time to go shopping and they try to purchase the items of their needs over the internet and for these people variety and quickness of internet shopping are valuable characteristics (Järveläinen, 2007).”
BackgroundTAM's Application: E-service Quality Study in Online Apparel Store
Lee, Z., & Dion, P. (2012) · 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing · doi:10.1109/snpd.2012.122 · Cited by 1
“Generally, when shopping for products, consumers will compare alternatives using such consideration characteristics as price, service quality, speed, and certainty (Järveläinen, 2007).”
BackgroundAn Explanatory Model of Collaborative Online Travel Planning by Millennials
Kamis, A., & Frank, J. (2011) · Hawaii International Conference on System Sciences · doi:10.1109/hicss.2011.55 · Cited by 1
“We expect that Trust [14, 50, 62], Ease of Use, and Perceived Effectiveness will provide a socio-technical mechanism for enhancing the intention to purchase [14, 63, 64].”
BackgroundArslan, E., Kendir, H., & Bozkurt, H. Ö. (2026) · Journal of Foodservice Business Research · doi:10.1080/15378020.2026.2742182
Istikomah, F. G. (2025) · Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) · doi:10.63901/ijebam.v3i8.164
“Järveläinen (2007) observed a positive but non-significant effect, whereas Lim et al. (2016) confirmed a direct and significant effect.”
Behavioural Components of Online Shopping Among Consumers of Malaysia
Gohain, K., Thambiah, S., & Changmai, M. (2019) · The Journal of Social Sciences Research · doi:10.32861/jssr.52.436.443
“Besides, Järveläinen (2007) stated in their research, that growing variety of web shopping and web shoppers attracts the researcher to solve the emerging problems.”
BackgroundThe causes to relative advantage in internet auctions
Su, B.-C., Chen, J., Candler, M., & Capistrano, E. P. S. (2013) · International Journal of Business and Systems Research · doi:10.1504/ijbsr.2013.056715
Only Value Enough?: An Empirical Research on the Impact of Value and Trust on Intention
Cheng, D., Han, J., & Song, Y. (2010) · International Conference on E-Business and Information System Security (EBISS) · doi:10.1109/ebiss.2010.5473607
“Jarveleinen proposed that PU will increase PV in online shopping environment [29].”
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
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 ›
Are you an author, or do you see a problem with this page? Request a review