Successful application of communication techniques to improve the systems development process
Information and Management
Group process and conflict in system development
Management Science
A formal evaluation of knowledge elicitation techniques for expert systems: domain 1
Proceedings of Expert Systems '87 on Research and Development in Expert Systems IV
Knowledge acquisition using structured interviewing: an empirical investigation
Journal of Management Information Systems
Executive information requirements: getting it right
MIS Quarterly
Inside a software design team: knowledge acquisition, sharing, and integration
Communications of the ACM
Explaining the role of user participation in information system use
Management Science
Technological frames: making sense of information technology in organizations
ACM Transactions on Information Systems (TOIS) - Special issue on social science perspectives on IS
Power over users: its exercise by system professionals
Communications of the ACM
Mastering the requirements process
Mastering the requirements process
The effect of user engagement on system success: a meta-analytical integration of research findings
Information and Management
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Improving information requirements determination: a cognitive perspective
Information and Management
The social and political construction of technological frames
European Journal of Information Systems - Special issue: From technical to socio-technical change: Tackling the human and organizational aspects of systems development projects
Journal of Management Information Systems
Establishing mutual understanding in systems design: an empirical study
Journal of Management Information Systems - Special issue: Information technology and organization design
Using group support systems and joint application development for requirements specification
Journal of Management Information Systems - Special issue: Organizational impact of group support systems, expert systems, and executive information systems
Object-Oriented Systems Analysis and Design (2nd Edition)
Object-Oriented Systems Analysis and Design (2nd Edition)
Managing risk in offshore systems development
Communications of the ACM
A Unified Model of Requirements Elicitation
Journal of Management Information Systems
Process fusion: An industrial case study on agile software product line engineering
Journal of Systems and Software
The Role of User Participation in Information Systems Development: Implications from a Meta-Analysis
Journal of Management Information Systems
Strategies for information requirements determination
IBM Systems Journal
Systems Analysis and Design
Rituals in information system design
MIS Quarterly
An Ontology-Supported Misinformation Model: Toward a Digital Misinformation Library
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Information requirements determination (IRD) is concerned with developing accurate requirements for a proposed system, primarily by eliciting information from users and other organizational stakeholders. In this paper we build and test theory concerning a significant threat to the accuracy of information requirements, termed the misinformation effect. Misinformation is distorted, false, or other erroneous or misleading information that does not reflect the true state of the world or state of mind of the person communicating the information. The misinformation effect refers to the tendency of people to recall misleading or false information introduced to them following an event instead of original material learned or observed at the time the event occurred. During user-analyst communication in the IRD process, analysts may introduce misinformation in their discussions with users. We use the misinformation effect literature to hypothesize that in such circumstances users are likely to recall misinformation introduced by analysts rather than their true beliefs and knowledge of facts. Additionally, we use literature in social psychology to hypothesize that the misinformation effect will be stronger when misinformation is introduced using a social technique rather than a nonsocial technique. We conducted an experiment to test the misinformation effect in the requirements elicitation process. Results indicated that (1) introduction of misinformation reduces the accuracy of requirements provided by users, and (2) social techniques (interviews) are more vulnerable to the misinformation effect than nonsocial techniques (surveys). Our research contributes to the information systems literature by identifying an important reason that requirements provided by users may be inaccurate, and to IRD practice by identifying important dilemmas caused by the misinformation effect as well as potential solutions. We also contribute to the psychology literature by demonstrating the existence of the misinformation effect with users' experiential factual knowledge and beliefs in a business context, and by aiding in understanding the underlying causes of the misinformation effect. We discuss implications of our findings and directions for future research to address challenges resulting from the misinformation effect.