Empirical research is an important methodology for the study of conceptual modeling practices. The recently published article "Representing Part-Whole Relations in Conceptual Modeling: An Empirical Evaluation" (Shanks et al. 2008) uses the lens of ontology to study a relatively sophisticated aspect of conceptual modeling practice, the representation of aggregation and composition. It contends that some analysts argue that a composite should be represented as a relationship while others argue that a composite should be represented as an entity. We find no evidence of such a dispute in the data modeling literature. We observe that composites are objects. By definition, all object-types should be represented as entities. Therefore, using the relationship construct to represent composites should not be seen as a viable alternative. Additionally, we found significant conceptual and methodological issues within the study that call its conclusions into question. As a way to offer insight into the requisite methodological procedures for research in this area, we conducted two experiments that both explicate and address the issues raised. Our results call into question the utility of using ontology as a foundation for conceptual modeling practice. Furthermore, they suggest a contrary but at least equally plausible explanation for the results reported by Shanks et al. In conducting this work we hope to encourage dialogue that will be beneficial for future endeavors aimed at identifying, developing, and evaluating appropriate foundations for the discipline of conceptual modeling.
Information systems researchers frequently face quandaries in their professional lives. We present the results of a study of academic IS researchers that assesses their judgments and the prevalence of 29 questionable research-related behaviors. We find that the focus and stages of researchers' careers influence their judgments of these behaviors. Membership in the Association for Information Systems (AIS) and adherence to the AIS Code of Research Conduct are also associated with IS researchers' judgments. There is strong evidence to suggest that IS researchers expect to engage in questionable behaviors more in the future than they report having done in the past. As a result of the study, we recommend that the IS community revisit the AIS Code of Research Conduct on a regular basis and take active steps to both educate its members on professional normative standards and to uphold the standards of our community.
Ad hoc query formulation is an important task in effectively utilizing organizational data resources. To facilitate this task, managers and casual end-users are commonly presented with database views expressly constructed for their use. Differences in the way in which things, states, and events are represented in such views can affect a user's ability to understand the database, potentially leading to different levels of performance (i.e., accuracy, confidence, and prediction of the accuracy of their queries). An experiment was conducted over the Internet involving 342 subjects from 6 universities in North America and Europe to investigate these effects. When presented with an event-based view, subjects expressing low or very low comfort levels in reading entity-relationship diagrams expressed confidence that better predicted query accuracy although there were no significant differences in actual query accuracy or level of confidence expressed.
Academic researchers access commercial web sites to collect research data. This research practice is likely to increase. Is this appropriate? Is this legal? Such commercial web sites are maintained to achieve business objectives; research access uses site resources for other purposes. Web site administrators may, therefore, deem academic data collection inappropriate. Is there a process to make research access more open and acceptable to web site owners and administrators? These are significant issues. This article clarifies the problems and suggests possible approaches to handle the issues with sensitivity and openness. Research access to commercial web sites may be manual (using a standard web browser) or automated (using automated data collection agents). These approaches have different effects on web sites. Researchers using manual access tend to make a limited number of page requests because manual access is costly to perform. Researchers using automated access methods can request large numbers of pages at a low cost. Therefore, web site administrators tend to view manual access and automated access very differently. Because of the number of accesses and the nonbusiness purpose, automated research requests for data are sometimes blocked by site administration using a variety of means (both technological and legal). This paper details the pertinent legal issues including trespass, copyright violation, and breech of contract. It also explains the nature of express and implied consent by site administration for research access. Based on the issues presented, guidelines for researchers are proposed to reduce objections to research activities, to facilitate communication with web site administration, and to achieve express or implied consent. These include notification to web site administration of intended automated research activity, description of the research project posted as a web page, and clear identification of automated requests for web pages. In order to encourage good research practices with respect to automated data collection, suggestions are made with respect to disclosing methods used in research papers and for self regulation by academic associations