The Relationships between Digitalization and Ecosystem-Related Capabilities for Service Innovation in Agricultural Machinery Manufacturers

G.S. Smania, G.H.D.S. Mendes, Moacir Godinho Filho (), L. Osiro, P.A. Cauchick-Miguel and W. Coreynen
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Moacir Godinho Filho: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: Manufacturers seeking to provide smart product-service systems require new sets of capabilities such as digitalization and ecosystem-related capabilities. Studies have investigated these capabilities separately, although it seems to have an unexplored convergence between them. Therefore, this article aims to identify the digitalization and ecosystem-related capabilities of manufacturers in the agricultural machinery industry that are seeking digital servitization and offering smart product-service systems. Moreover, it aims to uncover the relationships among these capabilities to determine their driving and dependence power. A combination of methods was employed to achieve this result. First, a systematic literature review was conducted to define key digitalization and ecosystem-related capabilities. Next, the Interpretive Structural Modelling and fuzzy MICMAC analysis were employed to define the capabilities' driving power and dependence power. By combining these analyses, we propose a conceptual framework that integrates these two sets of capabilities, which is comprised of three macro-layers: driving, linkage, and dependent. This article contributes to the literature by showing the interrelationships between digitalization and ecosystem-related capabilities. Also, it proposes a conceptual framework that groups capabilities based on their contributions to the development of digital service innovation. \textcopyright 2022

Keywords: Agricultural machinery; Agriculture; Digital servitization; Digitalization capabilities; Digitalization capability; Ecosystem-related capabilities; Ecosystem-related capability; Ecosystems; Fuzzy MICMAC analyse; Fuzzy MICMAC analysis; Interpretive structural modelling; Interpretive structural models; Manufacture; Power; Product-service systems; Service innovation; Servitization; Smart products (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

Published in Journal of Cleaner Production, 2022, 343, ⟨10.1016/j.jclepro.2022.130982⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04279963

DOI: 10.1016/j.jclepro.2022.130982

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