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This article presents a multifaceted case for the inclusion of the important Human-Computer Interaction (HCI) subject matter at both the graduate and undergraduate levels of the Association of Information Systems (AIS) model curricula. Based on the presentations and discussions during a panel at the 2003 Americas Conference on Information Systems (AMCIS), we first present the rationale for incorporating HCI materials in Management Information Systems (MIS) curricula. Second, we present a list of relevant and important HCI knowledge and skills that our students need for effective careers. Third, given the limited number of credit hours available to each MIS program, we explore several strategies and options for the integration of HCI into current and future MIS courses. Finally, drawing upon teaching experiences of the authors, we provide pedagogical suggestions for teaching HCI to undergraduate and graduate students.

This paper presents an extended discussion of issues associated with the role of information privacy in IS research. This discussion was initiated in conjunction with a panel session at ICIS 2002. Following the conference, each of the panelists reworked and extended their position statements, and provided a commentary on the position statements of the other panelists. The paper is framed with head and tail pieces written by the panel chair. The result is a (unique and provocative) blend of opinion and commentary on a topic that is of importance to IS research in the globally networked society in which we all live. IS researchers will find research questions, research conundrums, and research advice in equal measure.

Human Computer Interaction(HCI) or Human Factors studies in MIS are concerned with the ways humans interact with information, technologies, and tasks, especially in business, managerial, organizational, and cultural contexts. This article describes the existence and importance of HCI research in the MIS discipline, its historical development, some of its characteristics, publication opportunities, and future research directions. It is believed that HCI is the subject of a strong research stream in MIS, and will continue to be strong in the foreseeable future. It is hoped that HCI studies can provide the evolution of the human centered technology development that enhances our work/job, our various needs, our organizations, our societies, and ourselves.

This paper builds on ideas in a recent paper which argued that the core subject matter of the IS field should not be “the IT artifact ” (as suggested by Orlikowski and Iacono [1]), but rather IT-intensive work systems. This paper extends the ideas in the previous paper by exploring whether pervasive real time IT might be a disruptive technology [2] for the IS field, implying that the long term vibrancy and impact of the field depends on a change in focus and scope that emphasizes some version of work system concepts. This paper defines the term “work system ” and explains that information systems, projects, value chains, and supply chains are all special cases that should inherit work system terminology, generalizations, and success factors. It summarizes six real world examples to demonstrate different types of overlap between work systems and information systems that support them. Comparison of these systems shows that many of today’s more interesting information systems reflect a trend toward pervasive real time IT, i.e., increasingly commonplace application of IT to automate work practices or support and control them in real time. As this trend continues, the overlap between information systems and the work systems they support will increase, leading to a situation in which studying just the information system but not the work system it supports will have less and less significance. The paper concludes by arguing that the IS field needs to encompass work systems that do more than processing information. Expansion in this direction has implications for analyzing systems, conceptualizing system life cycles, communicating with business professionals, interpreting and performing research, and establishing different relationships with other academic fields such as organization behavior and operations management. 1.

Many scientific fields share common interests for research and education. Yet, very often, these fields do not communicate to each other and are unaware of the work in other fields. Understanding the commonalities and differences among related fields can broaden our understanding of the interested phenomena from various perspectives, better utilize resources, enhance collaboration, and eventually move the related fields forward together. In this article, we present a conceptual framework, namely the Information-Model or I-model, to describe various aspects of information related fields. We consider this a timely effort in light of the evolutions of several information related fields and a set of questions related to the identities of these fields. It is especially timely in defining the newly formed Information Field from a community of twenty some information schools. We posit that the information related fields are built on a number of other fields but with their own unique foci and concerns. That is, core components from other fundamental fields interact and integrate with each other to form dynamic and interesting information related fields that all have to do with information, technology, people, and organization/society. The conceptual framework can have a number of uses. Besides providing a unified view of these related fields, it can be used to examine old case studies, recent research projects, educational programs and curricula concerns, as well as to illustrate the commonalities and differences with the information related fields.

Information Systems research often uses article citation counts to judge the impact of articles, journals, and authors, and even to assess the maturity of the discipline. Yet little is known about the drivers of article impact. Motivated by the continued debate on the importance of theory development, methodological rigor, and tradeoffs between rigor and relevance, the authors of this paper examine the structure of theory-based empirical IS articles as a potential determinant of their scientific impact. Using the straightforward measure of page counts, the authors assess the structure of these articles at the macro level and develop hypotheses on article impact. Results indicated that, as hypothesized, the structure of IS articles does determine their impact. Conceptualization and theory development in articles tends to payoff in citation counts, while emphasis on methodology and implications does not. They discuss recommendations for review systems and for authors, as well as for the field as a whole. Supplemental analyses show that highly-influential IS research tends to be theory-based empirical and that, consistent with the evolution of the field, concept to method ratio has been going up in IS articles over time; a synchronization that has paid off in terms of impact.

This paper attempts to reveal the “black box ” of information processing activities by relying on Sensemaking as a methodology and as the object of research. In particular, this research aims at studying intuitive information processing activities in ongoing crisis situations, one of the most extreme contexts in which discontinuity is the rule and continuity the exception. The authors argue that this Sensemaking approach offers valuable insights for the design of information systems for crisis response and management (ISCRAM). This paper describes an interpretive case study methodology as it was applied to discover Sensemaking episodes in the daily work of humanitarian relief actors in the ongoing crisis of the Democratic Republic of Congo.

Information Systems research often uses article citation counts to judge the impact of articles, journals, and authors, and even to assess the maturity of the discipline. Yet little is known about the drivers of article impact. Motivated by the continued debate on the importance of theory development, methodological rigor, and tradeoffs between rigor and relevance, the authors of this paper examine the structure of theory-based empirical IS articles as a potential determinant of their scientific impact. Using the straightforward measure of page counts, the authors assess the structure of these articles at the macro level and develop hypotheses on article impact. Results indicated that, as hypothesized, the structure of IS articles does determine their impact. Conceptualization and theory development in articles tends to payoff in citation counts, while emphasis on methodology and implications does not. They discuss recommendations for review systems and for authors, as well as for the field as a whole. Supplemental analyses show that highly-influential IS research tends to be theory-based empirical and that, consistent with the evolution of the field, concept to method ratio has been going up in IS articles over time; a synchronization that has paid off in

This paper questions the idea of “French theories ” in general and investigate their influence on international IS research. French theories are first discussed from 4 points of view: comparative, methodological, normative and descriptive. They are then classified in 10 trends that correspond to 10 main authors. The frequency of their quotation is then measured in 2 international conferences in IS and in MISQ. The results of this preliminary study are then compared to the potential influence of these theories in IS. Key-words: French theories, actor-network theory, constructivism, post-structuralism, hermeneutics and discourse analysis. Cet article questionne l’idée de “Théories Françaises ” en général et étudie leur influence sur la recherché internationale. Les Théories Françaises sont d’abord discutées suivant 4 points de vue: comparatif, méthodologique, normatif et descriptif. Elles sont ensuite classifiées en 10 courants correspondant à 10 auteurs majeurs. La fréquence de leurs citations est mesurée dans 2 conférences internationales en systèmes d’information et dans la revue MISQ. Les résultats de cette recherche exploratoire sont ensuite compares à l’influence de ces théories sur la recherche en systèmes d’information. Key-words: Théories Françaises, théorie des réseaux d’acteurs, constructivisme, post-structuralisme, analyse de discours, herméneutique.