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<p>Contents of Volume 16, Issue 0 (February) Journal of the Association for Information Systems (JAIS), Official Publication of the Association for Information Systems</p>
<p>Published: Monthly Electronically<br>
ISSN: 1536-9323<br>
Published by the Association for Information Systems, Atlanta, USA (<a href="http://aisel.aisnet.org/jais/">http://aisel.aisnet.org/jais/</a>)</p>
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<p>Editor-in-Chief: Professor Suprateek Sarker, University of Virginia, USA<br>
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<p>PAPER ONE<br>
Online Recommendation Systems in a B2C E-Commerce Context: A Review and Future Directions</p>
<p><strong>Seth Siyuan Li, </strong>Clemson University</p>
<p><strong>Elena Karahanna, </strong>University of Georgia</p>
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<p>Abstract</p>
<p><em>An online recommendation system (RS) involves using information technology and customer information to tailor electronic commerce interactions between a business and individual customers. Extant information systems (IS) studies on RS have approached
the phenomenon from many different perspectives, and our understanding of the nature and impacts of RS is fragmented. The current study reviews and synthesizes extant empirical IS studies to provide a coherent view of research on RS and identify gaps and future
directions. Specifically, we review 40 empirical studies of RS published in 31 IS journals and five IS conference proceedings between 1990 and 2013. Using a recommendation process theoretical framework, we categorize these studies in three major areas addressed
by RS research: understanding consumers, delivering recommendations, and the impacts of RS. We review and synthesize the extant literature in each area and across areas. Based on the review and synthesis, we surface research gaps and provide suggestions and
potential directions for future research on recommendation systems.</em></p>
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<p>To obtain a copy of the entire article, click on the link below: </p>
<p>http://aisel.aisnet.org/jais/vol16/iss2/2/<br>
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<p>PAPER TWO</p>
<p>Toward a Better Use of the Semantic Differential in IS Research: An Integrative Framework of Suggested Action</p>
<p><strong>Tibert Verhagen, </strong>VU University Amsterdam </p>
<p><strong>Bart van den Hooff, </strong>VU University Amsterdam </p>
<p><strong>Selmar Meents, </strong>Amsterdam University of Applied Sciences—International Business School</p>
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<p>Abstract</p>
<p><em>The semantic differential is a widely applied measurement technique in the information systems field. As we demonstrate in this study, however, there is evidence that many of the applications of the semantic differential seem to be subject to common
shortcomings. In this study, we address these shortcomings by creating awareness of the requirements underlying semantic differentiation. We discuss the requirements of semantic differentiation and use them as a foundation to introduce a framework to assist
researchers in applying the semantic differential more adequately. The framework puts renewed emphasis on bipolar scale selection and dimensionality testing, introduces semantic bipolarity as new criterion, and proposes distinct stages for the testing of wording
and contextual contamination. We exemplify the framework using an illustration exercise, which centers on the assessment of the meaning of the concept "electronic marketplace quality". Using a mixture of qualitative and quantitative methods, the illustration
exercise clarifies the prerequisites for semantic differentiation and provides suggestions for researchers. The paper concludes with a discussion of several methodological implications.</em></p>
<p> </p>
<p>To obtain a copy of the entire article, click on the link below: <br>
<a href="http://aisel.aisnet.org/jais/vol16/iss2/1/">http://aisel.aisnet.org/jais/vol16/iss2/1/</a></p>
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