Detecting Value Co-Creation Emergence to Foster Innovation

  • Tommasetti A
  • Vesci M
  • Grimaldi M
  • et al.
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Abstract

Purpose: The work analyzes the concept of emergence according to ecosystems view. Therefore, the study proposes an integrated framework based on the combination of Viable Systems Approach (VSA) and Service-Dominant logic (S-D logic). The concept of service ecosystems and the identification of their main elements allows at pinpointing the main drivers for value co-creation and innovation that can lead to co-evolution as the key driver to challenge complexity. However, co-evolution is an unintelligible construct that can be observed only in the ongoing processes of value co-creation emergence. Methodology/Approach: Starting from the identification of the common points and of the dissimilarities between S-D logic and VSA, a matching between viable systems and service ecosystems is proposed to reveal the key drivers leading to the emergence of viable value co-creation. Then, the main elements of viable systems and ecosystems are integrated and subdivided into three drivers (value propositions, resource integration, institutions) for viable value co-creation and co-evolution in (eco)systems organizations. Findings: The integration between viable systems and ecosystems permits to reread emergence, intended as a key driver to challenge complexity in VSA, according to ecosystems perspective by leveraging on the notion of value co-creation as an ongoing process that can foster co-evolution over time. In this way, the concept of systems emergence can be reinterpreted in the light of value co-creation notion and based on a viable ecosystems view that can contribute to reveal the main drivers (resource integration, institutions and value propositions) and outcome (innovation and co-evolution) of value co-creation emergence.

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APA

Tommasetti, A., Vesci, M., Grimaldi, M., & Monda, A. (2019). Detecting Value Co-Creation Emergence to Foster Innovation. Journal of Service Science and Management, 12(01), 17–33. https://doi.org/10.4236/jssm.2019.121002

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