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Steven Bellman

Bio: Steven Bellman is an academic researcher from University of South Australia. The author has contributed to research in topics: Interactive television & The Internet. The author has an hindex of 31, co-authored 93 publications receiving 7364 citations. Previous affiliations of Steven Bellman include University of Western Australia & Saint Petersburg State University.


Papers
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Posted Content
TL;DR: With projections that the Internet will generate consumer and business-to-business sales in excess of $294 billion by 2002, online retailing raises many questions about how to market on the Net.
Abstract: 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. For example, in Jan. 1999, Dell Computer Corp. was selling an average of $14 million of equipment online per day, and Amazon.com has become the third largest bookseller in the U.S., despite being in business only since 1995. With projections that the Internet will generate consumer and business-to-business sales in excess of $294 billion by 2002, online retailing raises many questions about how to market on the Net.

844 citations

Journal ArticleDOI
TL;DR: In this paper, personal characteristics predict whether or not people buy on the Internet, looking for a "wired" lifestyle and time starvation, not demographics, are the two main factors that predict whether people will buy online.
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.

728 citations

01 Jan 2002
TL;DR: The results suggest that more-active online shoppers tend also to search across more sites, and that this consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the individual level.
Abstract: This paper examines search across competing e-commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, compact discs (CDs), and air travel services), we show that the amount of online search is actually quite limited. On average, households visit only 1.2 book sites, 1.3 CD sites, and 1.8 travel sites during a typical active month in each category. Using probabilistic models, we characterize search behavior at the individual level in terms of (1) depth of search, (2) dynamics of search, and (3) activity of search.We model an individual's tendency to search as a logarithmic process, finding that shoppers search across very few sites in a given shopping month. We extend the logarithmic model of search to allow for time-varying dynamics that may cause the consumer to evolve and, perhaps, learn to search over time. We find that for two of the three product categories studied, search propensity does not change from month to month. However, in the third product category we find mild evidence of time-varying dynamics, where searchdecreases over time from already low levels. Finally, we model the level of a household's shopping activity and integrate it into our model of search. The results suggest that more-active online shoppers tend also to search across more sites. This consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the individual level.

519 citations

01 Jan 2003
TL;DR: Using a sample of Internet users from 38 countries matched against the Internet population of the United States, support is found for support for (1) and (2), suggesting the need for localized privacy policies.
Abstract: We examine three possible explanations for differences in Internet privacy concerns revealed by national regulation: (1) These differences reflect and are related to differences in cultural values described by other research; (2) these differences reflect differences in Internet experience; or (3) they reflect differences in the desires of political institutions without reflecting underlying differences in privacy preferences Using a sample of Internet users from 38 countries matched against the Internet population of the United States, we find support for (1) and (2), suggesting the need for localized privacy policies Privacy concerns decline with Internet experience Controlling for experience, cultural values were associated with differences in privacy concerns These cultural differences are mediated by regulatory differences, although new cultural differences emerge when differences in regulation are harmonized Differences in regulation reflect but also shape country differences Consumers in countries with sectoral regulation have less desire for more privacy regulation

443 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined search behavior at the individual level in terms of the depth of search, the dynamics of search and the activity of search for three commodity-like products (books, compact discs and air travel services).
Abstract: This paper examines search across competing e-commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, compact discs (CDs), and air travel services), we show that the amount of online search is actually quite limited. On average, households visit only 1.2 book sites, 1.3 CD sites, and 1.8 travel sites during a typical active month in each category. Using probabilistic models, we characterize search behavior at the individual level in terms of (1) depth of search, (2) dynamics of search, and (3) activity of search.We model an individual's tendency to search as a logarithmic process, finding that shoppers search across very few sites in a given shopping month. We extend the logarithmic model of search to allow for time-varying dynamics that may cause the consumer to evolve and, perhaps, learn to search over time. We find that for two of the three product categories studied, search propensity does not change from month to month. However, in the third product category we find mild evidence of time-varying dynamics, where searchdecreases over time from already low levels. Finally, we model the level of a household's shopping activity and integrate it into our model of search. The results suggest that more-active online shoppers tend also to search across more sites. This consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the individual level.

435 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Book
01 Jan 2009

8,216 citations

Journal ArticleDOI
TL;DR: Research on experienced repeat online shoppers shows that consumer trust is as important to online commerce as the widely accepted TAM use-antecedents, perceived usefulness and perceived ease of use, and provides evidence that online trust is built through a belief that the vendor has nothing to gain by cheating.
Abstract: A separate and distinct interaction with both the actual e-vendor and with its IT Web site interface is at the heart of online shopping Previous research has established, accordingly, that online purchase intentions are the product of both consumer assessments of the IT itself-specifically its perceived usefulness and ease-of-use (TAM)-and trust in the e-vendor But these perspectives have been examined independently by IS researchers Integrating these two perspectives and examining the factors that build online trust in an environment that lacks the typical human interaction that often leads to trust in other circumstances advances our understanding of these constructs and their linkages to behavior Our research on experienced repeat online shoppers shows that consumer trust is as important to online commerce as the widely accepted TAM use-antecedents, perceived usefulness and perceived ease of use Together these variable sets explain a considerable proportion of variance in intended behavior The study also provides evidence that online trust is built through (1) a belief that the vendor has nothing to gain by cheating, (2) a belief that there are safety mechanisms built into the Web site, and (3) by having a typical interface, (4) one that is, moreover, easy to use

6,853 citations

01 Jan 1964
TL;DR: In this paper, the notion of a collective unconscious was introduced as a theory of remembering in social psychology, and a study of remembering as a study in Social Psychology was carried out.
Abstract: Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

5,690 citations

Posted Content
TL;DR: In this article, the authors introduce the concept of ''search'' where a buyer wanting to get a better price, is forced to question sellers, and deal with various aspects of finding the necessary information.
Abstract: The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

3,790 citations