Paper Number
1142
Paper Type
Complete
Description
For years, there has been an emphasis on how to efficiently and effectively identify, evaluate, and implement innovative information systems in both design science research (DSR) and practice. Nonetheless, still today, these efforts continue to be hampered by the temporal gap between ideation and evaluation. Usually, innovative ideas are implemented at a late stage of maturity (e.g., prototypes) to test their viability in practice. This widespread approach results in waste of resources and time if the viability of an idea fails outside the lab environment. This paper discusses an ex-ante evaluation approach derived from “pretotyping” that allows innovative ideas to be tested in naturalistic settings even before they have been implemented. Thus, we call them “phantoms”. We show how this approach reduces temporal and relevance gaps, and we provide a preliminary assessment of its practicability by presenting and discussing three case studies conducted with real organizations and prospective users.
Recommended Citation
Matter, Philipp; Heinrich, Peter; Kurz, Katja; and Miscione, Gianluca, "Phantoms of Innovation: Disciplined Simulation for Ex-ante Evaluation in Design Science Research" (2022). ICIS 2022 Proceedings. 1.
https://aisel.aisnet.org/icis2022/is_design/is_design/1
Phantoms of Innovation: Disciplined Simulation for Ex-ante Evaluation in Design Science Research
For years, there has been an emphasis on how to efficiently and effectively identify, evaluate, and implement innovative information systems in both design science research (DSR) and practice. Nonetheless, still today, these efforts continue to be hampered by the temporal gap between ideation and evaluation. Usually, innovative ideas are implemented at a late stage of maturity (e.g., prototypes) to test their viability in practice. This widespread approach results in waste of resources and time if the viability of an idea fails outside the lab environment. This paper discusses an ex-ante evaluation approach derived from “pretotyping” that allows innovative ideas to be tested in naturalistic settings even before they have been implemented. Thus, we call them “phantoms”. We show how this approach reduces temporal and relevance gaps, and we provide a preliminary assessment of its practicability by presenting and discussing three case studies conducted with real organizations and prospective users.
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