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A Method for Designing Digital Innovation Contest Measurement Models
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0001-8354-4158
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2016 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

As contests become more popular means for organizing digital innovation, the need for measuring contest performance increases. The Digital Innovation Contest Measurement-model (DICM-model), which is the basis for this study was designed based on a single case study, and its evaluation indicated that there is a need for a customizable methodological approach that can accommodate differences in organizational requirements for designing and refining DICM-models. Therefore, in this paper, we present a summary of the evaluation of the DICM-model and propose a nine-step method to design and refine DICM-models using a quality oriented approach. The proposed method is based on the Goal-Question-Metric and the Balanced Scorecard to elicit measures and to enable agility in measuring the fulfilment of measurement goals of innovation contests. Also, the method facilitates knowledge management to refine, record and communicate best practices. An exante evaluation of the method indicates that the method provides practical support in designing and improving a DICM model. For future study, it is suggested to widen the scope of the method to aid in the design of measurement models for digital innovations using open data, in general.

sted, utgiver, år, opplag, sider
Association for Information Systems, 2016. s. 1-16
Emneord [en]
Digital Innovation Contest, Design of Measurement Model, Open Data Innovation, Goal Oriented Measures, Goal Question Metric
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-136575OAI: oai:DiVA.org:su-136575DiVA, id: diva2:1055439
Konferanse
Pre-ICIS Workshop 2016, Practice-based Design and Innovation of Digital Artifacts, Dublin, Ireland, December 10, 2016
Tilgjengelig fra: 2016-12-12 Laget: 2016-12-12 Sist oppdatert: 2020-03-05bibliografisk kontrollert

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