Managing Platforms and Ecosystems

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    Data Governance Decisions for Platform Ecosystems
    ( 2019-01-08) Lee, Sung Une ; Zhu, Liming ; Jeffery, Ross
    Platform ecosystem has become an information system research subject after many years of industry success. The concept of platform ecosystem facilitates fast and self-growing of a platform by encouraging data contribution/consumption of multiple networks, and thus the importance and value of data in platforms is accentuated. It is essential to understand how data should be managed in platform ecosystems where there is complicated relationships between multiple participating groups. However, this topic has been rarely addressed in industry and academia. Industry governance frameworks focus on organizational data, and prior research on platform ecosystem is still in early-stage. To response to the limitation, we propose critical data governance decisions for platform ecosystems, and discuss how they have to be implemented in practice. This study supports right decision making about data, and facilitates a secure platform ecosystem. We perform a case study to illustrate the practical implications of this study.
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    Innovation Relationships in the Emergence of Fintech Ecosystems
    ( 2019-01-08) Still, Kaisa ; Lähteenmäki, Ilkka ; Seppänen, Marko
    This paper explores the emergence of ecosystems in the context of Fintechs infusing digital technology into financial services. The rapid rise of Fintechs has changed the business landscape, challenging the established firms with novel solutions and services. As a result, the established firms are turning to new models of cooperation, replacing the hierarchically managed value chains with ecosystems that are modular and decentralized in their architecture. First, a bibliometric analysis was conducted to present the content and relationships in Fintech research in general. Then, a case study on two of the biggest retail banks in Finland and their innovation relationships in developing Distributed Ledger Technologies and related services was conducted. The results show how established players have established multiple innovation relationships, in different ecosystems as well as between them. These can be seen to demonstrate the emergence of Fintech ecosystems. The study contributes to previous literature by making the linkages explicit, particularly by examining the contextual elements that are crucial enablers or hindering factors in such relationships.
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    Innovation Ecosystem Emergence Barriers: Institutional Perspective
    ( 2019-01-08) Almpanopoulou, Argyro ; Ritala, Paavo ; Blomqvist, Kirsimarja
    Innovation ecosystems are built around new technologies, ideas, and innovations and their supporting actors and structures. However, the emergence of ecosystems is constrained by a host of institutional, system-level barriers in the existing organizational field that inhibit the legitimacy, resourcing, and growth of new initiatives. Through an empirical study in the Finnish energy sector, we find a strong and interdependent set of regulative, normative, and cultural–cognitive barriers that restrict the emergence of innovation ecosystems with new technologies. In particular, we identify a set of barriers and related field-sustaining mechanisms. The findings offer important implications for the theory and practice of innovation ecosystem emergence and related system-level barriers.
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    Managing Work Systems for Complex Work via Crowdworking Platforms - How to Orchestrate the Interplay of Crowds
    ( 2019-01-08) Mrass, Volkmar ; Peters, Christoph
    Companies and other organizations have increasingly ‘discovered’ crowdsourcing as a new form how to organize their work. However, many of the platforms who manage the work system necessary to process that work focus mainly on rather simple work or work of medium complexity. Drawing on work system theory (WST) and insights from literature, in depths-case studies with 14 crowdworking platforms, a written survey among 32 platform providers and four workshops with experts from practice and research, we investigate how these crowdworking platforms can also successfully manage more complex work. Based on our analysis, we present measures to do so, classified along the core WST-elements processes and activities, participants, information, and technologies. One main measure we identified is the close gearing of external and internal crowds, fostering the advantages and mitigating the disadvantages of crowdsourcing. With our research, we aim at providing insights how to further exploit the potential of crowds.
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    Visualizing Interfirm Collaboration in the Microservices Ecosystem
    ( 2019-01-08) Basole, Rahul
    The shift from monolithic software solutions to a microservices architecture is fundamentally changing the way software is developed, deployed, and managed. In this paper, we aim to uncover the collaborative fabric of the microservices ecosystem using a data-driven visualization approach of 2,608 software firms. Our visual analysis reveals a core-periphery structure with several subcommunities, suggesting both complementary and competing arrangements between software vendors. Theoretically, our paper contributes to our understanding of interfirm relationships in a software context. Managerially, our results show that there are wide range of partnership strategies that shape the microservices ecosystem. Methodologically, we demonstrate how a data-driven ecosystem visualization approach can help decision makers augment their sensemaking capability of emerging software ecosystems. The paper concludes with opportunities for future research.
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    Total Technology Space Map as a Digital Platform
    ( 2019-01-08) Luo, Jianxi
    A strand of recent studies utilized complete patent databases and classification systems to construct large network maps of patent technology classes, which might approximate the total technology space. It has been argued that such maps are useful for competitive intelligence analysis, technology road mapping, innovation decision support, and so on in the literature. In this paper, we illustrate the InnoGPS system to integrate such a map with various map-based visual analytic functions for technology navigation, positioning, neighborhood exploration, path finding and information retrieval. These analytics are either descriptive, predictive or prescriptive. During the process of developing InnoGPS, we have conceived a wide spectrum of other potential applications of the total technology space map for consumers, business, education and so on. These possibilities together with the difficulty to construct an accurate technology space representation suggest the strategic value to develop the total technology space map as a digital platform for any applications to discover, manage or represent any data, information and knowledge related to technologies, and to nurture an ecosystem of developers and users.
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    Understanding the Robot Ecosystem: Don't lose sight of either the trees or the forest
    ( 2019-01-08) Kim, Dohoon
    The robot sector in many countries has thrived recently thanks to government supports and innovations in various industries. This study, using the patent database to define the robot sector, reconfigures IO (Input-Output) data to analyze the relationships among various sectors. In particular, we consider the internal description of the robot sector (mesoscopic view—the trees) as well as the relationship between the robot and the non-robot sectors (macroscopic view—the forest), so that we can not only understand robot ecosystems in various dimensions but also develop policy insights. For the sake of systematic analysis of the intra- and inter-sector relations as well as the meso-macro links, this study constructs network models and employs several network measures. Our model and analysis present a good case study to understand the nature of the robot sector in terms of the business ecosystem. This novel approach also contributes to finding out a promising path that leverages the strengths of intra-sector relations and spreads the impact of the robot sector across the macro relations.
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    Harnessing Complexity in High Performance Computing Ecosystems: A Complex Adaptive Systems Framework
    ( 2019-01-08) Chen, Nan-Chen ; Ramakrishnan, Lavanya ; Poon, Sarah S. ; Aragon, Cecilia
    The use of high performance computing (HPC) has been generating influential scientific breakthroughs since the twentieth century. Yet there have been few studies of the complex socio-technical systems formed by these supercomputers and the humans who operate and use them. In this paper, we describe the first complex adaptive systems (CAS) analysis of the dynamics of HPC ecosystems. We conducted an 18-month ethnographic study that included scientific collaborations that use an HPC research center and examined the processes in HPC socio-technical systems via CAS theory to devise organizational designs and strategies that take advantage of system complexity. We uncovered several significant mismatches in the variation and adaptation processes within subsystems and conclude with three potential design directions for management and organization of HPC socio-technical ecosystems.
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    Introduction to the Minitrack on Managing Platforms and Ecosystems
    ( 2019-01-08) Still, Kaisa ; Huhtamäki, Jukka ; Basole, Rahul