Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management

Permanent URI for this collection

Browse

Recent Submissions

Now showing 1 - 4 of 4
  • Item
    To Plan or Not to Plan? Exploring Entrepreneurial Logics in Digital Servitization
    ( 2023-01-03) Jaspert, David ; Ebel, Martin ; Maihöfer, Sven ; Poeppelbuss, Jens
    Digital servitization is of increasing concern for manufacturers to exploit the potentials of digitaliza-tion with new service offerings. In this context, substantial changes within a firm´s capabilities, processes and mindset of employees need to be considered. To better understand such changes, we carve out behavioral logics of manufacturers undergoing digital servitization. An alternate template research design is used to discover the entrepreneurial logics of effectuation, causation, and bricolage. For this purpose, we conducted 13 semi-structured interviews with experts from the German manufacturing industry. Our results show that firms approaching digital servitization via hybrid decision logics. Causation can be found within all organizations. Effectuation is integrated to various degrees. Against it, the bricolage-logic is barely present. In total, the results provide new insights for digital servitization and for organizational ambidexterity.
  • Item
    Introduction to the Minitrack on Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management
    ( 2023-01-03) Koldewey, Christian ; Rabe, Martin ; Dumitrescu, Roman ; Winter, Johannes
  • Item
    Generic Role Model for the Systematic Development of Internal AI-based Services in Manufacturing
    ( 2023-01-03) Kutz, Janika ; Neuhüttler, Jens ; Schaefer, Kristian ; Spilski, Jan ; Lachmann, Thomas
    Latest research has shown that one challenge for the development and implementation of Industrial AI-based services is uncertainty of roles and responsibilities. To address this challenge, we developed a generic role model for the systematic development of AI-based services in manufacturing. The role model describes which roles are necessary within the development process of an Industrial AI-based service. Thereby, a distinction is made whether the roles are assigned to the “core team”, the “extended team” or participate in “supporting roles”. Furthermore, the model shows whether the roles are involved in the “Ideation” phase, the “Requirements and design” phase, the “Test” phase or the “Implementation and roll-out” phase. Based on desktop research, semi-structured interviews and expert workshops we identified 22 roles that are relevant to the development and implementation of Industrial AI-based services.
  • Item
    Barriers to the Development of Data-Driven Services: An ISM Approach for SMEs
    ( 2023-01-03) Azkan, Can ; Strobel, Gero ; Iggena, Lennart ; Gelhaar, Joshua ; Kreyenborg, Alexander
    Data is nowadays considered as a key resource and represents the most valuable asset of our technology-driven world. However, the ability to use this resource in a value-adding way requires a holistic perspective. Small- and medium-sized enterprises in particular face major challenges in the innovation and development process. Despite preliminary research in the area of data-driven services (DDS), there is a lack of methodological analysis of the key barriers for SMEs in the context of DDS development. To address this shortcoming, we have developed an interpretive structural model based on a two-stage mixed-method approach by combining a structured literature review with practice-oriented focus group interviews to identify key barriers and their interdependencies and interactions. Our paper strengthens the knowledge of DDS development through a methodological barrier analysis and provides a guide for practitioners to eliminate the most relevant barriers to DSS development.