Design research (DR) positions information technology artifacts at the core of the Information Systems discipline. However, dominant DR thinking takes a technological view of the IT artifact, paying scant attention to its shaping by the organizational context. Consequently, existing DR methods focus on building the artifact and relegate evaluation to a subsequent and separate phase. They value technological rigor at the cost of organizational relevance, and fail to recognize that the artifact emerges from interaction with the organizational context even when its initial design is guided by the researchers' intent. We propose action design research (ADR) as a new DR method to address this problem. ADR reflects the premise that IT artifacts are ensembles shaped by the organizational context during development and use. The method conceptualizes the research process as containing the inseparable and inherently interwoven activities of building the IT artifact, intervening in the organization, and evaluating it concurrently. The essay describes the stages of ADR and associated principles that encapsulate its underlying beliefs and values. We illustrate ADR through a case of competence management at Volvo IT.

Systems development research shows that practitioners seldom follow methods and that the competencies required for successful development of computer-based systems go well beyond those represented in contemporary methods. These insights make us question the role that methods should play in educating would-be developers. Pedagogical theories, such as situated learning and double-loop learning, complement these insights. Integrating the two, we argue that students need to complement the simplified accounts that methods express, with reflections on methods-in-use and on development practice in general. We present operationalizations of this idea in two quite different academic settings. Based on a retrospective analysis of our experiences in these settings, and a comparison and evaluation of the two approaches, we propose a number of lessons that can be used to improve the education of would-be developers.

The era of big data provides many opportunities for conducting impactful research from both datadriven and theory-driven perspectives. However, data-driven and theory-driven research have progressed somewhat independently. In this paper, we develop a framework that articulates important differences between these two perspectives and propose a role for information systems research at their intersection. The framework presents a set of pathways that combine the datadriven and theory-driven perspectives. From these pathways, we derive a set of challenges, and show how they can be addressed by research in information systems. By doing so, we identify an important role that information systems research can play in advancing both data-driven and theory-driven research in the era of big data. Medicine. His research investigates the relationship between conceptual modeling and AI/ML, AI in distributed environments (EdgeAI), and the design of smart services. Additionally he has a strong focus on knowledge transfer to industry through funded projects and spin-offs. 1273Carson Woo is Stanley Kwok Professor of Business, Sauder School of Business, University of British Columbia. His research interests include conceptual modeling, systems analysis and design, and requirements engineering. In particular, he is interested in using conceptual models to acquire relevant contextual information (e.g., business goals) and utilizing it to design new information systems, or aligning it to existing information systems design, so that changes can be more appropriate to business needs. At the University of British Columbia, he is a member of two research clusters: (1) Artificial Intelligence, and (2) Blockchain. Dr. Woo is editor of Information Technology and Systems Abstracts Journal at the Social Science Research Network, and serves or has served on several editorial boards, including ACM Transactions on Management Information Systems, Business & Information Systems Engineering Journal, Information and Management, and Requirements Engineering. He currently serves as the chair (2019-2020) of the Conceptual Modeling Conference steering committee and has served as the president of the

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We survey metrics proposed for object-oriented systems, focusing on product metrics. The survey is intended for the purposes of understanding, classifying, and analyzing ongoing research in object-oriented metrics. The survey applies fundamental measurement theory to artifacts created by development activities. We develop a mathematical formalism that captures this perspective clearly, giving appropriate attention to the peculiarities of the object-oriented system developmenr process. Consistent representation of the available metrics, following this mathematical formalism, shows that current research in this area contains varying coverage of different products and their properties at different development stages. The consistent representation also facilitates several analyses including aggregation across metrics, usage across metrics, equivalent formulation of metrics by multiple researchers, and exploitation of traditional metrics for object-oriented metrics. We also trace the chronological development of research in this area, and uncover gaps that suggest opportunities for future research.