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Modeling consumer adoption of the In...

Liu, Chuanlan.

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Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective./
作者:	Liu, Chuanlan.
面頁冊數:	153 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2284.
Contained By:	Dissertation Abstracts International65-06A.
標題:	Business Administration, Marketing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3136006
ISBN:	0496832050

Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective.
Liu, Chuanlan.

Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective. - 153 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2284.

Thesis (Ph.D.)--Auburn University, 2004.

To effectively market products online, it is necessary to understand consumers' shopping behavior and why they choose to shop through the Internet medium. Most of the current research on consumer Internet shopping behavior simply extends current theories of consumer behavior into this new consumption realm. Furthermore, not enough attention has been devoted specifically to the multi-dimensional and dynamic features of consumer online shopping behavior. This research fills these gaps by focusing on online shopping behavior through an integrated innovation adoption and consumer decision-making perspective.

ISBN: 0496832050Subjects--Topical Terms:

1017573
Business Administration, Marketing.

Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective.
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245 1 0 $a Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective.
300 $a 153 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-06, Section: A, page: 2284.
500 $a Director: Sandra Forsythe.
502 $a Thesis (Ph.D.)--Auburn University, 2004.
520 $a To effectively market products online, it is necessary to understand consumers' shopping behavior and why they choose to shop through the Internet medium. Most of the current research on consumer Internet shopping behavior simply extends current theories of consumer behavior into this new consumption realm. Furthermore, not enough attention has been devoted specifically to the multi-dimensional and dynamic features of consumer online shopping behavior. This research fills these gaps by focusing on online shopping behavior through an integrated innovation adoption and consumer decision-making perspective.
520 $a The purpose of this research is to better understand and predict consumers' adoption of the Internet as a shopping medium. Building on innovation adoption theory and consumer decision making frameworks, this research proposed a conceptual framework of consumers' adoption of the Internet as a shopping medium. Under the proposed framework, this research examined consumers' adoption of the Internet as a shopping medium with respect to the steps of decision-making completed online and intention to continue shopping online. Four categories of Internet shoppers based on current and intended online shopping behaviors were identified as regular visitors, latent punchers, dropout purchasers and steadfast purchasers. Factors influencing consumer adoption of the Internet as a shopping medium were identified from the literature of both innovation adoption and consumer decision-making as perceived innovation characteristics, perceived characteristics of Internet retailer, and consumer Internet self-efficacy.
520 $a To empirically test the proposed online shopping framework, a national online survey was conducted. A sample of 598 Internet shoppers through a random stratified sampling process was derived to perform empirical study. Exploratory quantitative analysis identified three dimensions of perceived innovation characteristics (relative advantage, enjoyment, and risk), three dimensions of perceived Internet retailers' characteristics (product and selection, customer service, and shopping incentives). Structure Equation Modeling was used to examine the fit of model. Both models of current online shopping behavior and future online shopping intention provided the best fit. Relative advantages and perceived product risk were found to be important predictors of consumers choosing the Internet to purchase product. Perceived characteristics of Internet retailers and consumer Internet self-efficacy were found to have indirect effect on consumers' adoption of the Internet as a shopping medium. Insights are offered for increasing online sales. The findings suggested that the proposed method to categorize Internet shoppers was effective. The proposal model is robust in explaining current adoption behaviors and in predicting future/continued adoption. Insights are offered for increasing online sales.
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