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Parametric search engines: What makes them effective when shopping online for differentiated products?
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2006 | Information & Management | Citations: 17
Authors: Kamis, Arnold A.; Stohr, Edward A.

Abstract: Many online retailers try to assist consumers via parametric search engines (PSE ... Expand

Abstract: Many online retailers try to assist consumers via parametric search engines (PSEs), i.e., attribute-based search engines. The objective of this study is to model the effectiveness of four PSEs in using search effort and domain knowledge to increase decision quality, decision confidence, perceived ease of use and perceived usefulness. Our model comprises a set of behavioral decision theory antecedents to the technology acceptance model. We tested users with four PSEs in a laboratory experiment and modeled the results with partial least squares (PLS) analysis. The main result of this paper is a PLS model showing that the effects of search effort and domain knowledge are mediated through decision quality and decision confidence to impact perceived ease of use and perceived usefulness. The model explains the variance in decision quality (17.3%), decision confidence (28.3%) and perceived usefulness (27.0%). Overall, this study shows that input, process and outcome variables are important for predicting the effectiveness of PSEs. Implications for research and practice are discussed. Collapse

Semantic filters: perceived ease of use decision theory survey design

Topics: decision quality perceived usefulness perceived ease of use electronic commerce database system

Methods: partial least squares regression laboratory experiment data envelopment analysis trade-off analysis method statistical hypothesis test

Theories: technology acceptance model decision theory information systems theory
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

1989 | Management Information Systems Quarterly | Citations: 5316
Authors: Davis, Fred

Abstract: Valid measurement scales for predicting user acceptance of computers are in sho ... Expand

Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvafidated, and their relationship to system usage is unknown. The present research develops and vafidates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions for these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with refiabilities of .98 for usefulness and .94 for ease of use. The scales exhibited high convergent, discriminant, and factorial validity. Perceived usefulness was significantly correlated with both selfreported current usage (r=.63, Study 1) and self-predicted future usage (r =.85, Study 2). Perceived ease of use was also significantly correlated with current usage (r=.45, Study 1) and future usage (r=.59, Study 2). In both studies, usefulness had a significantly greater correlation with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antece-dent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance. Collapse

Semantic filters: perceived ease of use decision theory survey design

Topics: ease of use perceived usefulness perceived ease of use electronic mail information system use

Methods: regression analysis method laboratory experiment psychometrics field study descriptive statistic

Theories: expectancy theory of motivation self efficacy theory decision theory

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Parametric search engines: What makes them effective when shopping online for differentiated products?

Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology