This article investigates two research questions concerning web shopping tools. The first asks how online decision aids can support a consumer's non-cognitive decision processes. The second asks how these tools support non-cognitive online shopping for products of different categories. To answer these questions, the author conducted a thorough literature review in the fields of management information systems, e-commerce and consumer behaviour. The results show that e-shoppers may adopt several non-cognitive decision-making approaches. Not one tool is sufficient to support all of these, but web stores should offer a selection of decision aids to satisfy their customers' needs. These tools need to be adapted as well to the categories of products offered in each web store.

Since its founding in the 1960s, the Information Systems (IS) field has been involved in critical debates about the nature and future of the discipline. Many researchers feel that diversity in IS research is our strength; others fear that too much diversity leads to losing the field's core identity. Do the scholarly contributions of the IS community reveal either of these two phenomena? In order to address this question, we examine articles published in leading IS journals (MISQ, ISR, and JMIS) during the period of 2000 to 2006. Our analysis includes classifying the articles using a classification scheme that includes the consideration of IT artifact, the research methods used, and the research topics covered. We provide descriptive statistics following a content analysis procedure and results based on cluster analysis and association rule mining. Our results provide an update on previous findings on IT artifact and its consideration in IS publications. Our results further suggest that while our leading journals cover a broad range of research topics and methods, there is also evidence of popularity on some topics and research methods.

In this article, we examine database management research that has been published in ISR, JMIS, and MISQ from each journal's inception to 2007. Our goal is to profile database research using a classification scheme that includes research paradigms, IT constructs, and research methodologies. The overall statistics obtained shows that information systems (IS) research in database management, which is widely recognized as part of the core knowledge of IS, is diverse in IT constructs, methodologies, as well as research paradigms. However, we also find that each journal has focused more on one research paradigm and some research methodologies. We summarize and discuss these results which can be useful to design science researchers in targeting their work in these three premier IS journals.

In today's increasingly competitive business world, organizations are using ICT to advance their business strategies and increase their competitive advantage. One technological element that is growing in popularity is knowledge discovery in databases (KDD). In this paper, we propose an analytic framework which is applied to two cases concerning KDD. The first case presents an organization at the analysis stage of a KDD project. The second one shows how a multinational company leverages its databases by mining data to discover new knowledge.

This study addresses the question of which information presentation format e-retailers should choose to encourage consumers to use their websites. The study proposes a model built on three conceptual foundations: the technology acceptance model (TAM), the theory of cognitive fit, and the trade-off effort-accuracy model. The model posits that consumers' perceived cognitive effort mediates the relationship between cognitive fit and consumer perceived the perceived usefulness of the website interface for selecting the best product alternative. An online experiment was conducted with 599 e-shoppers. The results suggest that e-retailers encounter a dilemma when selecting the information presentation format for their website interface. Indeed, while cognitive fit is positively related to perceived ease of use of the website, it is negatively related to perceived effort. In turn, perceived effort is positively related to perceived usefulness conceptualized as perceived decision accuracy.

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