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This paper draws on complex adaptive systems (CAS) theory to explore the transformation of an analog automation product platform as it was infused with extensive and deepening digital capacities over a 40-year period. Our case demonstrates how the deepening digitization of components and functions drives complexity by connecting the platform to multiple social and technical settings and producing new interactions and information exchanges. The increased connectivity and dynamism invited unexpected and significant architectural and organizational shifts that moved the platform toward an ecosystem-centered organizing logic. CAS theory and its notion of constrained generating procedures (CGPs) are used to analyze how new connections and interactions produced a multilevel and nonlinear change in the platform organization. We offer two main contributions. First, we provide a novel empirical analysis of how product platform digitization leads to phase transitions and show the mediating role of three mechanisms in this process treated as CGPs: interaction rules, design control, and stimuli-response variety. Second, we demonstrate the multilevel and recursive nature of digitally driven growth in physical product platforms.

Abstract. Open government data (OGD) can enable outbound open innovation (OI) that is beneficial to society. However, innovation barriers hinder OGD users from generating value. While previous studies have detailed a large number of such barriers, little is known of how different types of OGD users are affected, and when the barriers appear in their innovation processes. To this end, this paper describes a case study of distributed service development in the Swedish public transport sector. The contribution to extant research is twofold. Firstly, based on an inductive analysis, three OGD user archetypes are proposed: employees, entrepreneurs and hobbyists. Secondly, the study finds that the significance of distinct innovation barriers varies across phases of the services' lifecycles and depending on the OGD users' motivation, objective, pre-conditions and approach. Drawing on these insights, we propose that OGD initiatives aimed at facilitating outbound OI to a greater extent should address the barriers that appear during diffusion of innovations, the barriers that are not directly related to the OGD provision, and the barriers that are experienced by non-obvious OGD user groups.

While research has shown that investments in IT capability may translate into improved firm performance, how and why they do is still a source of debate. Drawing on financial options thinking, recent research suggests that managers can support appropriate investment decisions by examining digital options. However, current research has not effectively translated the financial options construct into the IT domain, which makes it difficult to rigorously examine digital options. To address this void, we revisit general options theory and review current notions of digital options. To support understanding, we extend current theorizing by offering a rigorous conceptual foundation that defines the digital option lifecycle and relationships to neighboring constructs. To support practice, we present principles for examining digital options for a specific business process. To illustrate the detailed workings of the theory, we examine a production planning process in the dairy industry to arrive at a set of desirable and feasible IT capability investments. Our proposed theory supports managerial practice by offering a rigorous and actionable foundation for digital options thinking. It also sets an agenda for academic research by articulating theory-based constructs and principles that are subject to further empirical and theoretical investigation.

Open data marketplaces have emerged as a mode of addressing open data adoption barriers. However, knowledge of how such marketplaces affect digital service innovation in open data ecosystems is limited. This paper explores their value proposition for open data users based on an exploratory case study. Five prominent perceived values are identified: lower task complexity, higher access to knowledge, increased possibilities to influence, lower risk and higher visibility. The impact on open data adoption barriers is analyzed and the consequences for ecosystem sustainability is discussed. The paper concludes that open data marketplaces can lower the threshold of using open data by providing better access to open data and associated support services, and by increasing knowledge transfer within the ecosystem.

Research on digital platform evolution is largely focused on how platform-owners leverage boundary resources to facilitate and control contributions from external developers to extend the functional diversity and scope of a digital device. However, our knowledge of the digital platforms that carve out their existence exclusively in the service layer of industry architectures, i.e. without proprietary device connections, is limited. The concept of digital service platforms directs attention to such platforms, the role of end-users as value co-creators, and devices as requisite, but not necessarily proprietary, distribution mechanisms for service. Based on a longitudinal case study of Spotify, this paper contributes by demonstrating that digital service platform evolution is characterized by specific architectural conditions that rationalize the use of boundary resources for extending scale rather than scope, and for resourcing and controlling not only developers but also end-users as a means to strategically adjust the evolutionary process.

Purpose: Although the potential of innovation networks that involve both university and industry actors is great variances in cultures, goals and knowledge poses significant challenges. To better understand management of such innovation networks, we investigate different strategies for balancing diversity.Design/methodology/approach: In this multiple case study, we draw on network and trading zone theory to examine the strategies of four research centers that govern university-industry innovation networks. Findings:We (1) provide empirically grounded descriptions of strategies for balancing diversity in innovation processes, (2) extend previous theorizations by suggesting two types of trading zones (transformative and performative), and, (3) identify four strategy configuration dimensions (means of knowledge trade, tie configuration, knowledge mobility mechanisms and types of trust). Research limitations/implications:Further research is needed on transferability of results when e.g. cultural collaboration and communication patterns change, and, performance implications of different configurations. Our research provides conceptual tools for future research on the impact of different diversity strategies. Practical implications:Our findings point to the importance of identifying desired types of innovation outcomes and designing the appropriate level of diversity. To implement the selected strategy, managers need to configure communication channels and strength of relationships, establish associated capacity for knowledge transfer and build appropriate levels of trust.Originality/value: While extant research has provided a solid understanding of benefits from diversity in boundary spanning innovation processes, this paper outlines strategies for managing associated challenges.

The generative nature of digital technology implies that during digital transformation (DT), organizations traverse multiple cycles of innovation and resource alignment. Still, extant research mainly chronicles DT as linear and contained phenomenon occurring in response to a dramatic environmental change event.How new resources align with previous ones into novel combinations, the work that supports continuous organizational capability building, and the temporal relationships between cycles of change in DT has received scant attention. Drawing on dynamic capability theory, we analyze innovation and resource alignment cycles driving DT at Lundqvist Trävaru AB, a small Swedish construction firm. Our study has at least two contributions. First, the analysis reveals three types of dynamic capabilities that shape resource generation and alignment in DT. Second, we provide a process model outlining the innovation and alignment cycles that fuel DT as they scale in the focal firm.