Journal article
Predictors of online buying behavior
Communications of the ACM, Vol.42(12), pp.32-38
1999
Abstract
What personal characteristics predict whether or not people buy on the Net? Look for a "wired" lifestyle and time starvation, not demographics.
Consumers worldwide can shop online 24 hours a day, seven days a week, 365 days a year. Some market sectors, including insurance, financial services, computer hardware and software, travel, books, music, video, flowers, and automobiles, are experiencing rapid growth in online sales [7]. For example, in Jan. 1999, Dell Computer Corp. was selling an average of $14 million of equipment online per day [3], and Amazon.com has become the third largest bookseller in the U.S., despite being in business only since 1995 [6]. With projections that the Internet will generate consumer and business-to-business sales in excess of $294 billion by 2002 [2], online retailing raises many questions about how to market on the Net.
Details
- Title
- Predictors of online buying behavior
- Authors/Creators
- S. Bellman (Author/Creator)G.L. Lohse (Author/Creator)E.J. Johnson (Author/Creator)
- Publication Details
- Communications of the ACM, Vol.42(12), pp.32-38
- Publisher
- ACM Digital Library
- Identifiers
- 991005544891907891
- Copyright
- 1999 ACM, Inc.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
Metrics
133 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 6 Social Sciences
- 6.3 Management
- 6.3.65 Consumer Behavior
- Web Of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- ESI research areas
- Computer Science