The selection of case studies: strategies and their applications to IS implementation case studies

Case study research by definition is well suited to the study of IS implementation, especially when context is important. Furthermore, its products are highly relevant and therefore they appeal to IS practitioners, an audience for which the IS literature has been critiqued of ignoring. While the value of single case research is methodologically viable in the study of critical cases, the multiple case study approach is believed to be more appropriate to the study of typical cases of IS implementations. However, the IS literature provides little guidance on strategies for case study selection, particularly for multiple case studies. More important, is the need to provide the rational for case selection that relates these suggested strategies to the particular objectives of the case research inquiry. The purpose of this study is to fill this gap by providing a review of strategies for single and multiple case study selection in the context of systems implementation. Furthermore, the application of these guidelines in a multiple case study of strategic decision making of enterprise systems implementations will be illustrated

The State of State Science Standards 2012

American science performance is lagging as the economy becomes increasingly high tech, but our current science standards are doing little to solve the problem. Reviewers evaluated science standards for every state for this report and their findings were deeply troubling: The majority of states earned Ds or Fs for their standards in this crucial subject, with only six jurisdictions receiving As. Explore all the state report cards and see how your state performed

The Confluence of Interaction Design & Design: from Disciplinary to Transdisciplinary Perspectives

In keeping with the conference theme of rigour and the authors’ interest in sustainability and interaction design, we describe the confluence of design-oriented notions of interaction design and HCI-oriented notions of interaction design in terms of understanding the present and making choices about possible futures. We comment on the variety of research modes in this confluence and then take up the issue of how disciplinarity, multidisciplinarity, and interdisciplinarity operate and fail to operate as boundary crossing mechanisms for these research modes. As a complement and extension to disciplinary, multidisciplinary, and interdisciplinary practices, we take up the notion of transdisciplinarity and describe how it informs the possibility of values-rich free boundary crossing between research modes in the service of real world issues, while still preserving rigour. Keywords: Transdisciplinarity; Interaction Design; Design Research; Sustainability; Disciplinarity; Multidisciplinarity; Interdisciplinarity.</p

Infectious Disease Ontology

Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and information. In this chapter, we describe different types of vocabulary resources and emphasize those features of formal ontologies that make them most useful for computational applications. We describe current uses of ontologies and discuss future goals for ontology-based computing, focusing on its use in the field of infectious diseases. We review the largest and most widely used vocabulary resources relevant to the study of infectious diseases and conclude with a description of the Infectious Disease Ontology (IDO) suite of interoperable ontology modules that together cover the entire infectious disease domain

Ontological theory for ontological engineering: Biomedical systems information integration

Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such navigation will become correspondingly difficult to maintain. While descriptive semantic representations are certainly a necessary component to any adequate ontology-based system, so long as ontology engineers rely solely on semantic information, without a sound ontological theory informing their modeling decisions, this goal will surely remain out of reach. In this paper we describe how Language and Computing nv (L&C), along with The Institute for Formal Ontology and Medical Information Sciences (IFOMIS), are working towards developing and implementing just such a theory, combining the open software architecture of L&C’s LinkSuiteTM with the philosophical rigor of IFOMIS’s Basic Formal Ontology. In this way we aim to move beyond the more or less simple controlled vocabularies that have dominated the industry to date

The Hegelian Inquiring System and Critical Triangulation Tools for the Internet Information Slave

This paper discusses informing, i.e. increasing people’s understanding of reality by providing representations of this reality. The Hegelian inquiry system is used to explain the nature of informing. Understanding the Hegelian inquiry system is essential for making informed decisions where the reality can be ambiguous and where sources of bias and manipulation have to be understood for increasing the level of free-informed choice. This inquiry system metaphorically identifies information masters and slaves, and we propose critical dialectic information triangulation (CDIT) tools for information slaves (i.e. non-experts) in dialect interactions with informative systems owned by supposed information masters. The paper concludes with suggestions for further research on informative triangulation tools for the internet and management information systems

BRIDGING A SUPPOSEDLY UNBRIDGEABLE GAP: ELABORATING SCIENTIFIC KNOWLEDGE FROM AND FOR PRACTICE

This article aims at advancing the still on-going conversations about the so-called research/practice gap. Some academics argue that it is not possible to develop knowledge that is both academically valuable and helpful for practice, while others hold the opposite view, justifying it on the basis of works published in top tier journals. The paper argues that the main reason scholars hold such contradictory views on this topic central to management science is the lack of explicitness of a number of founding assumptions which underlie their discourses, in particular the lack of explicitness of the epistemological framework in which the parties' arguments are anchored. The paper presents methodological guidelines for elaborating scientific knowledge both from and for practice, and illustrates how to use these guidelines on examples from a published longitudinal research project. In order to avoid the lack of explicitness pitfall, the paper specifies scientific and epistemological frameworks in which the knowledge elaborated in this methodological approach, when properly justified, can be considered as legitimate scientific knowledge.collaborative research ; constructivist epistemological paradigm ; sciences of the artificial ; organizational design science; rigor; actionability

Health promotion research: dilemmas and challenges

OBJECTIVE—To analyse dilemmas and challenges in health promotion research, and to generate ideas for future development.
METHOD—The analysis is based on authors' experiences in working in the field of research and action in health promotion and on experiences of others as found in literature.
RESULTS—The assumptions underlying scientific research as based in the biomedical design are difficult to meet in community-based health promotion research. Dilemmas are identified in relation to the possibility of defining the independent and dependent variables beforehand and the intermingling of these variables (the intervention and outcome dilemma), the difficulty in quantifying the desired outcomes (the number dilemma), and the problem of diffusion of the programme to the control group (the control group dilemma).
CONCLUSION—Research in health promotion has specific reasons to reconsider the approach towards research, the selection of outcome variables, and research techniques. Strategies and methods to make activities and their outcomes clear are discussed and criteria to judge confidence and applicability of research findings are presented.


Keywords: health promotion research; research dilemmas; research challenge