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<title>College of Business</title>
<link>http://hdl.handle.net/1957/8148</link>
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<rdf:li rdf:resource="http://hdl.handle.net/1957/38668"/>
<rdf:li rdf:resource="http://hdl.handle.net/1957/38212"/>
<rdf:li rdf:resource="http://hdl.handle.net/1957/36859"/>
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<dc:date>2013-05-24T20:00:14Z</dc:date>
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<item rdf:about="http://hdl.handle.net/1957/38668">
<title>Entrepreneurs’ start-up versus persistence decisions: A critical evaluation of expectancy and value</title>
<link>http://hdl.handle.net/1957/38668</link>
<description>Entrepreneurs’ start-up versus persistence decisions: A critical evaluation of expectancy and value
Holland, Daniel V.; Garrett, Robert
Research suggests that entrepreneurs tend to seek to maximize utility when considering whether to pursue a new venture opportunity. However, when choosing whether to persist with their current venture or not, utility maximization may not be of primary importance. Using a conjoint experiment, we examine the difference between policies in start-up decisions versus persistence decisions. The analysis of the decisions of 135 entrepreneurs indicates that the manner in which entrepreneurs use expectancy and value in persistence decision policies is significantly different than the way that they use expectancy and value in general opportunity pursuit decision policies. The results offer novel insights into the entrepreneurial decision-making process.
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Sage Publications and can be found at: http://isb.sagepub.com/.
</description>
<dc:date>2013-04-16T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/1957/38212">
<title>Does More Mean Better? An Examination of Visual Product Presentation in E-retailing</title>
<link>http://hdl.handle.net/1957/38212</link>
<description>Does More Mean Better? An Examination of Visual Product Presentation in E-retailing
Song, Sarah Sungsook; Kim, Minjeong
Because of the intangible nature of online shopping, consumers perceive online shopping as being risky. This study examined how this risk can be reduced specifically by using a more effective online product presentation method. A combination of the number of product views (one and four) and size (small and large) of the product image were used to examine their influence on consumer’s mental intangibility and perceived amount of information, in which the two constructs ultimately influence perceived risk and patronage intentions. The results from the study showed that both product displays influenced mental intangibility even though an interaction effect did not exist. Comparatively, the number of product views and size had an interaction effect on perceived amount of information. These findings indicate how multiple product presentations can be used differently in reducing mental intangibility and perceived amount of information in an online shopping environment. Furthermore, perceived risk was found to be a partial mediator for both mental intangibility and patronage intentions, and perceived amount of information and patronage intentions. These findings provide useful information for e-retailers to consider for effective online product presentation.
This is the publisher’s final pdf. The published article is copyrighted by California State University and can be found at: http://www.csulb.edu/journals/jecr/.
</description>
<dc:date>2012-11-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/1957/36859">
<title>Getting Explicit about the Implicit: A Taxonomy of Implicit Measures and Guide for their Use in Organizational Research</title>
<link>http://hdl.handle.net/1957/36859</link>
<description>Getting Explicit about the Implicit: A Taxonomy of Implicit Measures and Guide for their Use in Organizational Research
Uhlmann, Eric Luis; Leavitt, Keith; Menges, Jochen I.; Koopman, Joel; Howe, Michael; Johnson, Russell E.
Accumulated evidence from social and cognitive psychology suggests that many behaviors are driven by processes operating outside of awareness, and an array of implicit measures to capture such processes have been developed. Despite their potential application, implicit measures have received relatively modest attention within the organizational sciences, due in part to barriers to entry and uncertainty about appropriate use of available measures. The current paper is intended to serve as an implicit measurement “toolkit” for organizational scholars, and as such our goals are fourfold. First, we present theory critical to implicit measures, highlighting advantages of capturing implicit processes in organizational research. Second, we present a functional taxonomy of implicit measures (i.e., accessibility-based, association-based, and interpretation-based measures) and explicate assumptions and appropriate use of each. Third, we discuss key criteria to help researchers identify specific implicit measures most appropriate for their own work, including a discussion of principles for the psychometric validation of implicit measures. Fourth, we conclude by identifying avenues for impactful “next generation” research within the organizational sciences that would benefit from the use of implicit measures.
This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by SAGE Publications and can be found at: http://orm.sagepub.com/.
</description>
<dc:date>2012-10-01T00:00:00Z</dc:date>
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<item rdf:about="http://hdl.handle.net/1957/36795">
<title>Tales from the Tail: Robust Estimation of Moments of Environmental Data with One-Sided Detection Limits</title>
<link>http://hdl.handle.net/1957/36795</link>
<description>Tales from the Tail: Robust Estimation of Moments of Environmental Data with One-Sided Detection Limits
Hsieh, Ping-Hung
Estimating the means and standard deviations of environmental data remains a great challenge because a substantial percentage of observations lies below or above detection limits.&#13;
The inadequacy of several common, ad hoc estimation procedures is clear; this study instead&#13;
proposes a robust moment estimation procedure for environmental data with a one-sided&#13;
detection limit. The procedure assumes that the tails of the underlying distribution of the&#13;
(transformed) data are symmetric, and censoring only occurs on one side. Through an&#13;
application of the Rényi representation theorem, it is possible to use observations from the&#13;
other side to learn the shape of the distribution below the detection limit, without specifying any particular parametric model, and consequently, derive the moment estimates of&#13;
the distribution. A simulation provides a comparison of estimation performance between&#13;
the proposed procedure and several existing estimators, and several real-life samples offer&#13;
a good illustration.
This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/computational-statistics-and-data-analysis/.
</description>
<dc:date>2012-12-01T00:00:00Z</dc:date>
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