The relationships between digitalization and ecosystem-related capabilities for service innovation in agricultural machinery manufacturers

Guilherme Sales Smania, Glauco Henrique de Sousa Mendes*, Moacir Godinho Filho, Lauro Osiro, Paulo A. Cauchick-Miguel, Wim Coreynen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

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.

Original languageEnglish
Article number130982
JournalJournal of Cleaner Production
Volume343
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Keywords

  • Digital servitization
  • Digitalization capabilities
  • Ecosystem-related capabilities
  • Fuzzy MICMAC analysis
  • Interpretive structural modelling
  • Service innovation

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