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[22.11.2017] Organizations constantly adapt their Information Systems (IS) architecture to reflect changes in their environment. In general, such adaptations steadily increase the complexity of their IS architecture, thereby negatively impacting IS efficiency and IS flexibility. Based on a Complex Adaptive Systems (CAS) perspective, we present a more differentiated analysis of the impact of IS architecture complexity. We hypothesize the relation between IS architecture complexity on the one hand, and IS efficiency and IS flexibility on the other hand to be mediated by evolutionary and revolutionary IS change. Subsequently, we test our hypotheses through a partial least squares (PLS) approach to structural equation modelling (SEM) based on survey data from 185 respondents. We find that the direct negative impact of IS architecture complexity on IS efficiency and IS flexibility is no longer statistically relevant when also considering the mediating effects of revolutionary and evolutionary IS change.

[22.11.2017] Crowdsourcing represents a powerful approach for organizations to engage in distant search and mobilize knowledge distributed amongst a diverse network of people. While organizations generally succeed in generating large amounts of knowledge, they frequently fail to identify useful ideas that have the potential to solve problems or serve as innovation. We combine text mining and network analysis to examine how such contributions emerge on crowdsourcing platforms and how organizations may identify them. We find that useful ideas typically originate from members in a crowd with only few network ties and that these contributions become especially useful when they are enriched with local knowledge provided by experienced members on the platform. We extend existing research by examining the effects of network relationships and knowledge (re)combination in crowdsourcing. We also discuss the potential of network analysis and text mining to support organizations in tracking the origin of contributions and analyzing their content.

[22.11.2017] In recent years, many firms have published public Application Programing Interfaces (APIs). However, firms struggle with how to successfully implement API-enabled service innovation. APIs are either boundary resources through which platform strategies are enacted or they represent distribution channels for software, data, or infrastructure. We use a service innovation framework to integrate ten elements that determine business-oriented API design and that were discussed by prior API research. We report the preliminary results of a cluster analysis of 96 randomly sampled and qualitatively coded APIs. We identify three archetypes of API-enabled service innovation that are characterized by distinct configurations of API elements. We use a measure of API popularity to find structural differences of the archetypes' market impact. With our planned research addressing the interplay of API design, ecosystem-based value creation strategies and API performance, we intend to contribute to theory that explains the impact of API design on digital innovation.

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