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OFFERING KNOWLEDGE AS A SERVICE - A TAXONOMY OF KNOWLEDGE-INTENSIVE BUSINESS SERVICES

2023 | European Conference On Information Systems | Citations: 0
Authors: Ksouri-Gerwien, Christoph; Ebel, Martin; Bittner, Kendra; Poeppelbuss, Jens

Abstract: Servitization describes the transformation of a manufacturer to a customer-cent ... Expand

Abstract: Servitization describes the transformation of a manufacturer to a customer-centric service and solution provider. Providing customer solutions requires the integration of knowledge from different domains, e.g., engineering, software, and service, and usually also entails that more knowledge-intensive business services (KIBS) become part of the manufacturer's overall business model. Against this background, this article investigates how manufacturing and software firms leverage knowledge in KIBS and corresponding business models. We developed a taxonomy that systematizes KIBS along the three metadimensions of value proposition, value creation, and value capture. The application of our taxonomy to exemplary cases from both industries shows different strategies of knowledge usage across these industries. Our findings can support the development of KIBS and help practitioners to understand different ways of utilizing knowledge as a strategic resource. Implications for research point to the need for better understanding the collaboration of multiple actors from a knowledge-based perspective. Collapse

Semantic filters: conceptual analysis predictive maintenance

Topics: business model value creation innovation management knowledge sharing website

Methods: case study theory development triangulation qualitative interview design artifact

Theories: knowledge based theory of the firm
Recombinant Service Systems Engineering
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2018 | Business & Information Systems Engineering | Citations: 69
Authors: Beverungen, Daniel; Lüttenberg, Hedda; Wolf, Verena

Abstract: Although many methods have been proposed for engineering service systems and cu ... Expand

Abstract: Although many methods have been proposed for engineering service systems and customer solutions, most of these approaches give little consideration to recombinant service innovation. Recombinant innovation refers to reusing and integrating resources that were previously unconnected. In an age of networked products and data, we can expect that many service innovations will be based on adding, dissociating, and associating existing value propositions by accessing internal and external resources instead of designing them from scratch. The purpose of this paper is to identify if current service engineering approaches account for the mechanisms of recombinant innovation and to design a method for recombinant service systems engineering. In a conceptual analysis of 24 service engineering methods, the study identified that most methods (1) focus on designing value propositions instead of service systems, (2) view service independent of physical goods, (3) are either linear or iterative instead of agile, and (4) do not sufficiently address the mechanisms of recombinant innovation. The paper discusses how these deficiencies can be remedied and designs a revised service systems engineering approach that reorganizes service engineering processes according to four design principles. The method is demonstrated with the recombinant design of a service system for predictive maintenance of agricultural machines. Collapse

Semantic filters: conceptual analysis predictive maintenance

Topics: innovation management predictive maintenance value creation business process management systems analysis

Methods: machine learning design principle literature study design methodology field study

Theories: socio technical theory core competency theory dominant logic

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OFFERING KNOWLEDGE AS A SERVICE - A TAXONOMY OF KNOWLEDGE-INTENSIVE BUSINESS SERVICES

Recombinant Service Systems Engineering