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Journal ArticleDOI

On risk, convenience, and Internet shopping behavior

TLDR
This article attempts to determine why certain consumers are drawn to the Internet and why others are not, and why the perception of the risk associated with shopping on the Internet is low or is overshadowed by its relative convenience.
Abstract
The past century experienced a proliferation of retail formats in the marketplace. However, as a new century begins, these retail formats are being threatened by the emergence of a new kind of store, the online or Internet store. From being almost a novelty in 1995, online retailing sales were expected to reach $7 billion by 2000 [9]. In this increasngly timeconstrained world, Internet stores allow consumers to shop from the convenience of remote locations. Yet most of these Internet stores are losing money [6]. Why is such counterintuitive phenomena prevailing? The explanation may lie in the risks associated with Internet shopping. These risks may arise because consumers are concerned about the security of transmitting credit card information over the Internet. Consumers may also be apprehensive about buying something without touching or feeling it and being unable to return it if it fails to meet their approval. Having said this, however, we must point out that consumers are buying goods on the Internet. This is reflected in the fact that total sales on the Internet are on the increase [8, 11]. Who are the consumers that are patronizing the Internet? Evidently, for them the perception of the risk associated with shopping on the Internet is low or is overshadowed by its relative convenience. This article attempts to determine why certain consumers are drawn to the Internet and why others are not. Since the pioneering research done by Becker [3], it has been accepted that the consumer maximizes his utility subject to not only income constraints but also time constraints. A consumer seeks out his best decision given that he has a limited budget of time and money. While purchasing a product from a store, a consumer has to expend both money and time. Therefore, the consumer patronizes the retail store where his total costs or the money and time spent in the entire process are the least. Since the util-

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Citations
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Book ChapterDOI

Multiple Signals and Consumer Behavior in the Digital Economy: Implementing a Multidimensional Framework

TL;DR: In this paper, the authors proposed a multidimensional framework for exploring multiple signals in the virtual context of the digital economy and showed that four types of signals (social network, social capital, certification, social identity) influence consumer behavior.
Proceedings ArticleDOI

Integrating user perception and experience into the technology acceptance model: An empirical investigation of online payment service innovation

TL;DR: In this article, the authors proposed the influential paths from innovation design characteristics to innovation adoption through user perceptions and experience in order to better understand how to design an acceptable innovation and identify the targeted consumer segments.

Yeni̇li̇ğe açiklik değerleri̇ni̇n i̇nternet üzeri̇nden alişveri̇ş davranişi üzeri̇ndeki̇ etki̇si̇

TL;DR: In this paper, the relative impact of personal value priorities on attitude toward online shopping and actual behavior of online shopping (including both search and purchase) was determined. But, there is no significant difference between two groups according to their attitudes toward online buying and searching products online, while consumers who emphasize openness to change value domains more than conservation value domains indicate more online buying behavior.
Proceedings ArticleDOI

“Stickiness”, i.e. HCI guidelines, largely ignored when developing web sites in the GCC

TL;DR: Whether the web solutions under examination follow the commonly accepted as standard guidelines of how a well-designed site should be as far as human computer interaction is concerned is suggested.
Journal ArticleDOI

Online Purchasing and its Determinants: An Experimental Approach

Zafer Akin
TL;DR: A comprehensive model based on Technology Acceptance Model (TAM) is proposed and it is found that experimentally elicited risk preference measure and variables of hedonic aspect of TAM have significant effects while trust, other risk measures and variable of utilitarian aspect of Tam have no significant effect on online shopping behavior.
References
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Journal ArticleDOI

Dimensions of Consumer Expertise

TL;DR: In this paper, a review of empirical results from the psychological literature in a way that provides a useful foundation for research on consumer knowledge is provided by two fundamental distinctions: consumer expertise is distinguished from product-related experience and five distinct aspects, or dimensions, of expertise are identified.
Journal ArticleDOI

The Effects of Product Class Knowledge on Information Search Behavior

Abstract: The effects of prior knowledge about a product class on various characteristics of pre-purchase information search within that product class are examined. A new search task methodology is used that imposes only a limited amount of structure on the search task: subjects are not cued with a list of attributes, and the problem is not structured in a brand-by-attribute matrix. The results indicate that prior knowledge facilitates the acquisition of new information and increases search efficiency. The results also support the conceptual distinction between objective and subjective knowledge.
Book

Consumer behavior and marketing action

Henry Assael
TL;DR: In this paper, the authors present an overview of consumer behavior in terms of Societal and Global Perspectives, and segment consumers by individual characteristics and behaviour, identifying the most important factors that influence consumer behavior.
Book

Consumer behavior and marketing action

Henry Assael
TL;DR: In this article, the authors present an overview of consumer behavior in terms of Societal and Global Perspectives, and segment consumers by individual characteristics and behaviour, identifying the most important factors that influence consumer behavior.
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