Over recent decades, many platform-native start-ups and firms were founded and some are now among the world’s most valuable. This study, however, focuses on an incumbent firm transitioning from a long established product platform ecosystem to an innovation platform ecosystem in response to the platform-natives’ threats of disruption. We specifically investigate the dynamic capabilities needed by the incumbent firm in an enterprise software ecosystem in the transition phase. Our analysis builds on multi-perspective empirical data covering the viewpoints of all the actor types in the ecosystem, i.e., platform owner, platform partners, and end-user firms. The results imply the necessity of four dynamic capabilities: resource curation, ecosystem preservation, resource reconfiguration, and ecosystem diversification. With this study, we contribute to the emerging literature on the incumbent firms’ transition to a new ecosystem organising logic, and extend the study of dynamic capabilities specifically for the case of transitioning to innovation platform ecosystems.

Significant investments in information systems (IS) over the past decades have led to increasingly complex IS architectures in organisations, which are difficult to understand, operate, and maintain. We investigate this development and associated challenges through a conceptual model that distinguishes four constituent elements of IS architecture complexity by differentiating technological from organisational aspects and structural from dynamic aspects. Building on this conceptualisation, we hypothesise relations between these four IS architecture complexity constructs and investigate their impact on architectural outcomes (i.e., efficiency, flexibility, transparency, and predictability). Using survey data from 249 IS managers, we test our model through a partial least squares (PLS) approach to structural equation modelling (SEM). We find that organisational complexity drives technological complexity and that structural complexity drives dynamic complexity. We also demonstrate that increasing IS architecture complexity has a significant negative impact on efficiency, flexibility, transparency, and predictability. Finally, we show that enterprise architecture management (EAM) helps to offset these negative effects by acting as a moderator in the relation between organisational and technological IS architecture complexity. Thus, organisations without adequate EAM are likely to face large increases in technological complexity due to increasing organisational complexity, whereas organisations with adequate EAM exhibit no such relation.

Enterprise architecture management (EAM) is commonly employed by large organisations to coordinate local information system development efforts in line with organisation-wide strategic objectives while simultaneously avoiding redundancies and inconsistencies. Even though EAM tools and processes have become increasingly mature over the past decade, many organisations still struggle to generate impact from their EAM initiatives. To this end, we describe how enterprise architects at Commerzbank, a major international bank, employed a control mechanism portfolio perspective to more effectively anchor EAM within the organisation. This approach allows to purposefully combine a wide range of different formal and informal EAM control mechanisms, thereby going beyond the formal, top-down driven mechanisms predominantly discussed in EAM literature. Furthermore, such EAM control mechanism portfolios provide an effective means to purposefully realign EAM in reaction to major strategic shifts. The application of this perspective is demonstrated by tracing the evolution of EAM at Commerzbank for more than a decade (2008 to 2018) through a turbulent and challenging competitive environment, resulting in several major strategic realignments that required corresponding adjustments in EAM. We believe that such consciously designed and diversified EAM control mechanism portfolios also provide a useful means for other large organisations to more effectively conduct EAM.

Changing demands in society and the limited capabilities of health systems have paved the way for robots to move out of industrial contexts and enter more human-centered environments such as health care. We explore the shared beliefs and concerns of health workers on the introduction of autonomously operating service robots in hospitals or professional care facilities. By means of Q-methodology, a mixed research approach specifically designed for studying subjective thought patterns, we identify five potential end-user niches, each of which perceives different affordances and outcomes from using service robots in their working environment. Our findings allow for better understanding resistance and susceptibility of different users in a hospital and encourage managerial awareness of varying demands, needs, and surrounding conditions that a service robot must contend with. We also discuss general insights into presenting the Q-methodology results and how an affordance-based view could inform the adoption, appropriation, and adaptation of emerging technologies.

In this issue, EJIS is publishing ‘Memorandum on Design Oriented Information Systems Research’, an opinion that has engendered much debate in the German-speaking Information Systems (IS) community....

Design-oriented research has a long tradition in Europe. While design science research is the dominating IS research paradigm in the German-speaking countries (Lange, 2006; Wilde & Hess, 2007; Beck...