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A Method for Design...
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Ayele, Workneh Y.Stockholms universitet,Institutionen för data- och systemvetenskap
(author)
A Method for Designing Digital Innovation Contest Measurement Models
- Article/chapterEnglish2016
Publisher, publication year, extent ...
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Association for Information Systems,2016
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:su-136575
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-136575URI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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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.
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Juell-Skielse, GustafStockholms universitet,Institutionen för data- och systemvetenskap(Swepub:su)gjuel
(author)
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Hjalmarsson, AndersStockholms universitet,Institutionen för data- och systemvetenskap(Swepub:su)ahjal
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Johannesson, PaulStockholms universitet,Institutionen för data- och systemvetenskap(Swepub:su)pajo
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Stockholms universitetInstitutionen för data- och systemvetenskap
(creator_code:org_t)
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