The DOI matches its Crossref record.
Attitudes Toward Buying Online as Predictors of Shopping Online for British and American Respondents
Abstract
This study compared the attitudes toward online shopping of British and American individuals. Using a sample of 327 British and American university students, the British respondents were found to have less favorable attitudes toward online shopping. Attitudes toward online shopping were found to be significant predictors of making online purchases. The implications of these results were discussed and suggestions made for future research.
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?
Attitude towards online shopping is a significant predictor of purchasing behavior.
“Previous research has revealed attitude towards online shopping is a significant predictor of making online purchases (Yang et al., 2007) and purchasing behavior (George, 2004;Yang et al., 2007).”
From An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012) · cites this paper as Yang et al., 2007
Attitude towards online shopping is a significant predictor of making online purchases.
“Previous research has revealed attitude towards online shopping is a significant predictor of making online purchases (Yang et al., 2007) and purchasing behavior (George, 2004;Yang et al., 2007).”
From An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012) · cites this paper as Yang et al., 2007
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- Mummalaneni V., 2005, Journal of Business Strategy, 58, 526
- 10.1016/S0022-4359(01)00051-3 · DOI · Paper page
- 10.1016/S0148-2963(03)00067-5 · DOI
- Hong W., 2005, Journal of Management Information Systems, 21, 149, 10.1080/07421222.2004.11045812 · DOI
- 10.1080/0959396032000099088 · DOI
- 10.1108/02634500310458135 · DOI
- 10.1080/0144929021000018342 · DOI
- 10.1089/109493104322820156 · DOI
- 10.1086/259630 · DOI
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
Limbu, Y. B., Wolf, M., & Lunsford, D. L. (2012) · Journal of Research in Interactive Marketing · doi:10.1108/17505931211265435 · Cited by 210
van Noort, G., Kerkhof, P., & Fennis, B. M. (2008) · Journal of Interactive Marketing · doi:10.1002/dir.20121 · Cited by 115
Consumer Perceived Risk, Attitude and Online Shopping Behaviour; Empirical Evidence from Malaysia
Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K. J. A., & Ali, K. M. (2014) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/58/1/012007 · Cited by 149
“towards online shopping is significant predictor of making online purchases [9] and purchasing behavior [9 and 33].”
Enhancing Online Performance through Website Content and Personalization
Thongpapanl, N., & Ashraf, A. (2011) · Journal of Computational Information Systems · doi:10.1080/08874417.2011.11645517 · Cited by 111
“…online retailers must make customer information searches efficient and effortless by providing tools such as website personalization [43] which, by modifying website information to fit individual needs, enhance online customer satisfaction [43], purchase intention [85], and loyalty [33].”
The determinants and effects of online privacy concerns in the context of e-commerce
Anic, I.-D., Škare, V., & Kursan Milaković, I. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2019.100868 · Cited by 98
Venkatesh, V., Speier, C., & Schuetz, S. W. (2022) · Information Technology and People · doi:10.1108/itp-12-2020-0867 · Cited by 108
E‐tail emotion regulation: examining online hedonic product purchases
Bui, M., & Kemp, E. (2013) · International Journal of Retail & Distribution Management · doi:10.1108/09590551311304338 · Cited by 74
“As discussed previously, in addition to the sensory appeal of virtual environments, advantages reported by consumers and critical motives for shopping online over brick-and-mortar outlets include convenience, time and energy savings, cost savings, and a more diverse range of product offerings (Yang et al., 2007).”
BackgroundConsumer Trust to a Web Site: Moderating Effect of Attitudes toward Online Shopping
Martín, S. S., & Camarero, C. (2008) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cpb.2007.0097 · Cited by 76
“These scales were subjected to a confirmative factor analysis (CFA) and convergent validity was proved ( 2(24) 71.”
Examining the antecedents of e-loyalty intention in an online reservation environment
Mouakket, S., & Al-hawari, M. (2012) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2012.03.005 · Cited by 70
Hashim, A., Ghani, E., & Said, J. (2009) · doi:10.3968/j.css.1923669720090506.003 · Cited by 68
Students’ online purchasing behavior in Malaysia: Understanding online shopping attitude
Zendehdel, M., Paim, L., & Osman, S. (2015) · Cogent Business & Management · doi:10.1080/23311975.2015.1078428 · Cited by 60
Mobile Shoppers: Types, Drivers, and Impediments
Gutiérrez, S. S. M., López‐Catalán, B., & Ramón-Jerónimo, M. Á. (2013) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2013.837793 · Cited by 46
“…intention if they perceive certain signals from a firm, are influenced by relatives or other individuals who are more inclined to distance shop (Rohm and Swaminathan 2004; Yang, Lester, and James 2007), they will require fewer signals to form their attitudes and finally show intention to m-shop.”
BackgroundAssessing customers' attitude towards online apparel shopping: A three-way interaction model
Patel, A. K., Singh, A., Rana, N. P., Parayitam, S., Dwivedi, Y. K., & Dutot, V. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113917 · Cited by 47
Attitude toward m-advertising and m-repurchase ☆
Jiménez, N. H., & San-Martín, S. (2017) · European Research on Management and Business Economics · doi:10.1016/j.iedeen.2016.12.001 · Cited by 37
“In the case of social influence, Nysveen et al. (2005) and Yang, Lester , and James (2007) studies were considered as references, and for compatibility the studies of Premkumar and Ramamurthy (1994) and Chemingui and Ben lallouna (2013) were used.”
BackgroundMethodResource-Based Crisis Management: The Important Role of the CEO's Reputation
Sohn, Y., & Lariscy, R. W. (2012) · Journal of Public Relations Research · doi:10.1080/1062726x.2012.689899 · Cited by 40
Theodorou, A., Hatzithomas, L., Fotiadis, T. A., Diamantidis, A. D., & Gasteratos, A. C. (2023) · Sustainability · doi:10.3390/su15032545 · Cited by 45
Determinants of Attitude towards Credit Card Usage
Ismail, S., Amin, H., Shayeri, S. F., & Hashim, N. (2014) · Jurnal Pengurusan · doi:10.17576/pengurusan-2014-41-13 · Cited by 29
“The behavior and the attitude of the consumer towards the use and acceptability of credit cards differ for psychographic reasons (Yang et al. 2007).”
BackgroundA New Framework on Website Evaluation
Qi, S.-S., Ip, C., Leung, R., & Law, R. (2010) · International Conference on E-Business and E-Government · doi:10.1109/icee.2010.27 · Cited by 27
“Convenience and low cost are two major reasons for consumers to purchase online [4].”
BackgroundPerceptions of Functionality and Usability on Travel Websites: The Case of Chinese Travelers
Law, R., Qi, S.-S., & Leung, B. (2008) · Asia Pacific Journal of Tourism Research · doi:10.1080/10941660802420994 · Cited by 25
“For instance, Yang, Lester, and James (2007) indicated that the major reasons for customers to purchase online are convenience, flexibility of time, and financial benefits.”
BackgroundBoshoff, C., Schlechter, C., & Ward, S. (2011) · South African Journal of Business Management · doi:10.4102/sajbm.v42i1.488 · Cited by 23
The effect of exogenous factors on the Technology Acceptance Model for online shopping in the UAE
Mouakket, S. (2009) · International Journal of Electronic Business · doi:10.1504/ijeb.2009.028153 · Cited by 23
The Privacy Paradox: The Case of Secondary Disclosure
D'souza, G., & Phelps, J. E. (2009) · Review of Marketing Science · doi:10.2202/1546-5616.1072 · Cited by 20
“For instance, Yang et al. (2007) compared American and British online shoppers and concluded that attitudes to online shopping were significant predictors of online purchasing.”
BackgroundOutshopping Through the Internet: A Multicountry Investigation
Lee, D., Paswan, A. K., Ganesh, G. K., & Xavier, M. J. (2009) · Journal of Global Marketing · doi:10.1080/08911760802511410 · Cited by 20
“In-home shoppers believe that in-home shopping is more convenient and saves their time and energy ( Burgess, 2003 ; McNair & May, 1978 ; Yang, Lester, & James, 2007 ; Vijayasarathy, 2003 ).”
Spinning the Web: The Interplay of Web Design Features and Product Types
Lepkowska-White, E., & Eifler, A. (2008) · Journal of Website Promotion · doi:10.1080/15533610802077289 · Cited by 20
“” Their effect on customer purchase intentions has been examined in the literature (Esper, Jensen, Turnipseed, and Burton, 2003 ; Liu et al, 2001 ; Yang and Lester, 2004 ; Yang, Lester, and James, 2007 ), and research has found that ease of ordering has led to customer satisfaction and purchase intention (Katerattanak…”
BackgroundOng, A. K. S., Dejucos, M. J. R., Rivera, M. A. F., Muñoz, J. V. D. J., Obed, M. S., & Robas, K. P. E. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11293 · Cited by 17
“Studies regarding shopping online have con fi rmed the relationship (Verhoef and Langerak, 2001; Ong et al., 2021; Khatibi et al., 2006; Haque and Khatibi, 2005; Suki et al., 2008) even in online shopping rate (Haque and Khatibi, 2005; Wu, 2003; Yang et al., 2007; Khatibi et al., 2006).”
BackgroundResultReligiosity, Generational Cohort and Buying Behaviour of Islamic Financial Products in Bangladesh
Newaz, F. (2014) · doi:10.26686/wgtn.17007391.v1 · Cited by 17
Young consumers’ behavioural intention based on hotel websites
Chan, S. H. J., Wu, S., & Vipulakom, K. (2019) · Anatolia · doi:10.1080/13032917.2019.1684959 · Cited by 18
Hassan, R., Ghani, E., & Said, J. (2009) · doi:10.3968/j.css.1923669720090504.009 · Cited by 11
“Studies in the online shopping literature have focused on the link between consumers’ attitude and online shopping (such as Goodwin, 1999; Wu, 2003; Yang et al, 2007).”
BackgroundConsumer’s Perception towards Use of Mobile Applications for Online Shopping in the Kathmandu Valley
Dhungana, S., Devkota, N., Paudel, U. R., Parajuli, S., Upretee, S., Dhakal, K., & Mahato, S. (2022) · Quest Journal of Management and Social Sciences · doi:10.3126/qjmss.v4i2.50314 · Cited by 9
A Comparison of the Benefits for Online Clothing Purchase between Korean and U.S. Consumers
Kim, E. Y. (2009) · Journal of the Korean Society of Clothing and Textiles · doi:10.5850/jksct.2009.33.7.1074 · Cited by 5
Manohar, E., Banu, E., & Punithavathani, D. (2021) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03033-y · Cited by 4
“Yang et al. (2007) introduce a method to analyse the online purchasing behaviour to predict the web user’s behaviour.”
MethodMarianingsih, P., Putri, R., Usman, U., Amelia, E., Hodijah, S., & Leksono, S. M. (2021) · doi:10.30870/jppi.v7i1.9588 · Cited by 4
What affects customers to make online grocery purchasing?
Rayesa, N. F., Gutama, W. A., & Ferisna (2020) · IOP Conference Series: Earth and Environment · doi:10.1088/1755-1315/475/1/012051 · Cited by 3
“Previous researchers found out that attitude towards online shopping is a significant predictor of purchasing behaviour [11,12].”
BackgroundSingh, S., & Srivastava, S. (2017) · IOSR Journal of Humanities and Social Science · doi:10.9790/0837-2206037383 · Cited by 3
Technology Sourcing for Website Personalization: A Supply- and Demand-Side Perspective
Oberoi, P., Patel, C. R., & Haon, C. (2016) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-26647-3_91 · Cited by 3
Brumă, I., Căutișanu, C., Tănasă, L., Ulman, S.-R., Gâlea, M. V., & Jelea, A. R. (2024) · Agricultural Economics-zemedelska Ekonomika · doi:10.17221/314/2023-agricecon · Cited by 1
Adityamurti, E., & Kusumawardhani, A. (2023) · Journal of Business Social and Technology · doi:10.59261/jbt.v4i2.156 · Cited by 1
Aqilla, R. H. (2022) · Science, Education and Innovations in the Context of Modern Problems · doi:10.56334/sei/5.4.26 · Cited by 1
Factors Influencing Consumer’s Intention to Buy Furniture Online in Greater Jakarta, Indonesia
Valencia, V., Santoso, S., Pebrianti, P. E., & Raharjo, M. A. S. (2020) · Jurnal Pemasaran Kompetitif · doi:10.32493/jpkpk.v4i1.7175 · Cited by 2
Ashraf, A. R., & Thongpapanl, N. (2014) · Developments in marketing science: proceedings of the Academy of Marketing Science · doi:10.1007/978-3-319-10912-1_185 · Cited by 2
ONLINE SHOPPING FACTORS: AN ANALYSIS OF COLLEGE STUDENTS EXPERIENCES BASED ON GENDER
Truell, A. D., Alexander, M., Zhao, J., & Woosley, S. (2010) · Issues in Information Systems · doi:10.48009/1_iis_2010_451-459
“Despite this considerable research, scholars have called for more studies regarding online shopping [2, 10, 14, 21, 22].”
BackgroundInfluentialSOCIAL MEDIA ENGAGEMENT AND BRAND LOYALTY IN DIRECT-TO-CONSUMER BRANDS: A MODERATED MEDIATION MODEL
Shafiq, M., Saleem, M., Noor, S., Gill, R., & Saleem, A. (2026) · JOURNAL OF SOCIAL SCIENCES DEVELOPMENT · doi:10.59075/jssd.v5i8.355
Klein, A., Sharma, V. M., & Li, X. M. (2026) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2026.2663914
Counterfactual thinking and online repeat purchase in a developing economy
Quao, B. (2025) · Journal of Contemporary Marketing Science · doi:10.1108/jcmars-08-2025-0042
Gül, Z., İşcan, O., & Gökcek, H. A. (2021) · Journal of Business Research - Turk · doi:10.20491/isarder.2021.1219
Online Shopping Trends among Students: A Conjoint Analysis
Singh, Apar, Kaur, & Arpandeep (2018) · doi:10.18843/ijms/v5i1(2)/12
Interplay of Attitude, Satisfaction and Purchase Intentions
Malik, R. K., Priyanka, & Dubey, S. K. (2016) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-5225-0332-3.ch015
Talukder, M. O. G., & Shariff, A. (2013) · doi:10.18034/abc
Making Money on eBay by Relieving Risk
van Noort, G. (2010) · doi:10.1007/978-3-8349-6006-1_17
Metadata
- Authors
- Yang, B., Lester, D., & James, S.
- Affiliations
- Drexel University (US)
- Stockton University (US)
- University of Exeter (GB)
- Venue
- CyberPsychology & Behavior
- Publisher
- SAGE Publications
- Published
- 2007-04
- Volume
- 10
- Issue
- 2
- Pages
- 198-203
- ISSN
- 1094-9313 (ISSN-L)
- 1557-8364
- OpenAlex
- W2088691470
- Cited by
- 63
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 3 · 2014: 6 · 2013: 5 · 2012: 7
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CyberPsychology & Behavior (publishedVersion)
- PubMed (publishedVersion)
- 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 › Consumer Retail Behavior Studies
- Keywords
- online shopping, online purchase intention, cross-cultural comparison, UK consumers, United States consumers, university students, e-commerce
- MeSH terms
- Adolescent, Adult, Attitude to Computers, Consumer Behavior, Cross-Cultural Comparison, Economics, England, Female, United Kingdom, Humans, Male, Risk-Taking, Internet
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
