The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electronic shopping
Open accessAbstract
he global electronic market will have a profound impact on commerce in the 21st Century.While current U.S. sales in cyberspace ($1 billion in 1995) are small in comparison to total U.S. retail sales ($1.7 trillion in 1995) [3], U.S. cybersales projections for the year 2000 range from $7 to $117 billion [9].More importantly, most experts predict a radical shift in how business will be conducted in the next century.This shift not only has businesses scrambling to meet this new marketing reality, but also raises many important research questions about business strategy, technical infrastructure, government policies, the electronic market demographics as well as how people will use the technology.Issues of technology usage become critical as businesses and retailers attempt to exploit the boom in electronic marketing.There are large differences between a physical store and its electronic counterpart.A help button on the home page of the Web shopping site replaces the sales clerk's friendly advice and service.The familiar layout of the physical store becomes a maze of pull-down menus, product indices, and search features.Now more than ever, the promise of electronic commerce and online shopping will depend to a great extent upon the interface and how people interact with the computer.Account managers, production staff, and merchant partners should not assume customers do not
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Usability Engineering Lifecycle
NIELSEN, J. (1993) · Usability Engineering · doi:10.1016/b978-0-08-052029-2.50007-3 · Cited by 2,657
Cited by
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
Pavlou, P. A., & Fygenson, M. (2006) · MIS Quarterly · doi:10.2307/25148720 · Cited by 2,685
Consumer trust in an Internet store
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000) · Information Technology and Management · doi:10.1023/a:1019104520776 · Cited by 2,577
Consumer trust in an internet store: a cross-cultural validation
Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.1999.tb00337.x · Cited by 1,882
Vijayasarathy, L. R. (2004) · Information & Management · doi:10.1016/j.im.2003.08.011 · Cited by 1,218
On-line trust: concepts, evolving themes, a model
Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00041-7 · Cited by 1,200
The development of initial trust in an online company by new customers
Koufaris, M., & Hampton-Sosa, W. (2004) · Information & Management · doi:10.1016/j.im.2003.08.004 · Cited by 1,114
Determining Uses and Gratifications for the Internet
Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004) · Decision Sciences · doi:10.1111/j.00117315.2004.02524.x · Cited by 1,010
The effect of web interface features on consumer online purchase intentions
Hausman, A. V., & Siekpe, J. S. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.01.018 · Cited by 981
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
Predictors of online buying behavior
Bellman, S., Lohse, G. L., & Johnson, E. J. (1999) · Communications of the ACM · doi:10.1145/322796.322805 · Cited by 854
Self-citationCristobal, E., Flavián, C., & Guinalíu, M. (2007) · Managing Service Quality: An International Journal · doi:10.1108/09604520710744326 · Cited by 788
Beldad, A., de Jong, M., & Steehouder, M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.013 · Cited by 754
JIANG, Z., & BENBASAT, I. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045817 · Cited by 606
Cho, Y. C., & Sagynov, E. (2015) · International Journal of Management & Information Systems (IJMIS) · doi:10.19030/ijmis.v19i1.9086 · Cited by 313
Technology Adaptation in E-commerce:
Chen, L.-D., & Tan, J. (2004) · European Management Journal · doi:10.1016/j.emj.2003.11.014 · Cited by 306
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
Modeling Influences on Impulse Purchasing Behaviors During Online Marketing Transactions
Zhang, X., Prybutok, V. R., & Strutton, D. (2007) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679150106 · Cited by 183
Travel web-site design: Information task-fit, service quality and purchase intention
Dedeke, A. (. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.01.001 · Cited by 171
When the wait isn’t so bad: The interacting effects of website delay, familiarity, and breadth
Galletta, D. F., Henry, R. M., McCoy, S., & Polak, P. (2006) · Information Systems Research · doi:10.1287/isre.1050.0073 · Cited by 154
Creating usable e-commerce sites.
Rohn, J. A. (1998) · StandardView · doi:10.1145/324042.324046 · Cited by 15
Metadata
- Authors
- Lohse, G. L., & Spiller, P.
- Venue
- Communications of the ACM
- Published
- 1998-07
- Volume
- 41
- Issue
- 7
- Pages
- 81-87
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2337675690
- Cited by
- 599
- References
- 1
- FWCI
- 111.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
