TY - RPRT

T1 - Defining decision making strategies in software ecosystem governance

AU - Manikas, Konstantinos

AU - Wnuk, Krzysztof

AU - Shollo, Arisa

PY - 2015

Y1 - 2015

N2 - Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision making, and applying actions.We focus on the decision making activity of software ecosystem governance and review related literature consisted of software ecosystem governance, organizational decision making, and IT governance. Based on the identified studies, we propose a framework for defining the decision making strategies in the governance of software ecosystems. We identify five decision areas for software ecosystem governance and four archetypes describing the way decisions are taken for each decision area. We explain this matrix-based framework by providing examples from existing software ecosystems.

AB - Making the right decisions is an essential part of software ecosystem governance. Decisions related to the governance of a software ecosystem can influence the health of the ecosystem and can result in fostering the success or greatly contributing to the failure of the ecosystem. However, very few studies touch upon the decision making of software ecosystem governance. In this paper, we propose decomposing software ecosystem governance into three activities: input or data collection, decision making, and applying actions.We focus on the decision making activity of software ecosystem governance and review related literature consisted of software ecosystem governance, organizational decision making, and IT governance. Based on the identified studies, we propose a framework for defining the decision making strategies in the governance of software ecosystems. We identify five decision areas for software ecosystem governance and four archetypes describing the way decisions are taken for each decision area. We explain this matrix-based framework by providing examples from existing software ecosystems.

M3 - Report

T3 - Koebenhavns Universitet. Datalogisk Institut. Rapport

BT - Defining decision making strategies in software ecosystem governance

PB - Department of Computer Science, University of Copenhagen

ER -