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.
Research on training has traditionally viewed errors made by trainees as detrimental to learning. A great deal of effort has been devoted to finding effective ways of preventing errors from occurring during training. Recently, some researchers have adopted a different perspective: that errors may provide a learning opportunity for trainees. What has been investigated less is the specific mechanism through which errors can foster learning. The objective of our research was to investigate and possibly reconcile these differing viewpoints by examining the error recovery process. We found that, in some situations, errors enhance learning when the trainee adopts an error recovery process that emphasizes the goal structure of the task. We suggest several ways of coaching trainees in training sessions to adopt such error recovery strategies.
Users of information technology form mental models that reflect their understanding and knowledge of an information system. These models affect the proficiency with which they use these systems. In this paper, we draw upon assimilation theory of learning to propose and test a two-stage model of mental model development. We examined the effects of two types of training method, namely conceptual model and procedural, and two levels of nature of interaction, namely novel and simple tasks, on end-users' proficiency in forming accurate mental models of an electronic mail system. Our results indicate that the actual mental models of the system formed by the users predict learning success instead of the type of training provided. Subjects who formed mental models that were conceptual in nature performed significantly better than those who formed mental models that were procedural. Main effects for nature of interaction were not significant. However, we observed a significant interaction effect between the models formed by the users and the nature of their interaction with the system. Our findings suggest that end-user performance is enhanced through training methods that provide good conceptual models but only if users form conceptual mental models and retain them.