Towards the iIoT Ecosystem Development - Understanding the Stakeholder Perspective

2020 | European Conference On Information Systems | Citations: 13

Authors: Petrik, Dimitri; Herzwurm, Georg

Abstract: Digital platforms enable the mechanical engineering industry to address the cha ... Expand

Abstract: Digital platforms enable the mechanical engineering industry to address the challenges of global competition, supporting the provision of digital value-added services. These currently emerging Industrial Internet of Things (IIoT) platforms form ecosystems, integrating complementary stakeholders, and fostering the cooperation among them. The absence of a dominant platform leader in the IIoT indicates the complexity of the ecosystem development process. The development of platform-based ecosystems in the specific domain of IIoT is still largely unaddressed by the Information Systems (IS) research. To fill this gap, we employ an explorative study, based on the qualitative analysis of 18 semistructured interviews with companies from the machine tool industry. Catching the perspective of the complementors, we present the variety of stakeholder types, and the distinctive core competencies of the identified stakeholders, as important influencing factors for the ecosystem development. A platform provider can foster the motivation to join the ecosystem by considering these factors during the stakeholder-oriented design of ecosystem mechanisms, such as boundary resources (BR). We argue that the design of BR should begin with an understanding of stakeholders and their needs. Hence, we structure the findings in an Ishikawa diagram as one of the quality improvement tools to enhance the design of BR and support the ecosystem development process, which is controlled by platform-providers. Collapse

Topics: digital platform digital service new product development quality management business-to-consumer

Methods: qualitative interview personal interview design process social network analysis qualitative content analysis

Theories: core competency theory

Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry

2019 | International Conference on Business Informatics | Citations: 0

Authors: Werner, Philipp; Petrik, Dimitri

Abstract: Through providing digital services, machine tool manufacturing companies can add ... Expand

Abstract: Through providing digital services, machine tool manufacturing companies can address the customer demands for individual solutions and the increasing cost pressure. Applications are one way to provide these digital services, running on smart machine tools connected to software systems, known as industrial Internet of Things (iIoT) platforms. Despite the growing potential of iIoT platforms in the provision of industrial digital services and the increasing awareness of the platform approach among manufacturing companies, lack of requirements makes the platform challengeable for machine tool companies. Moreover, the domain specific industrial application of platforms has been limitedly researched, indicating a possible research gap. This paper presents a literature-based research on requirements for iIoT platforms, followed by the solution-oriented metrics, to fulfill each requirement. Together, the requirements and metrics form a structured criteria catalog for iIoT platforms, which can be used as a decision support tool for the machine tool industry. Collapse

Topics: mobile system internet of things production management database system industry 4.0

Methods: literature sample literature study structured literature research

Industrial Learning: Does It Influence Organization Structure?

1997 | Americas Conference on Information Systems | Citations: 0

Authors: Setzekorn, Kristina

Abstract: ... Expand

Abstract: Collapse

Methods: survey F-test Tukey HSD for post poc analysis