Understanding rural context in the social innovation knowledge structure and its sector implementations

Retno Kusumastuti, Mesnan Silalahi, Maxensius Tri Sambodo, Vishnu Juwono

Research output: Contribution to journalArticlepeer-review

Abstract

The concept of social innovation is increasingly being discussed to pursue sustainable development. New terms and keywords are created to cope with new ideas in various contexts. How these terms are developed in the current structure of knowledge and how we can reinterpret the semantic networks with the empirical context are the primary motivation of this paper. The rural social innovation knowledge structure is constructed to understand the phenomena better and cope with future needs. A multi-methods methodology is applied to construct the knowledge structure with the primary method being topic modeling. The results from topic modeling, co-word analysis, and co-citation are combined to co-construct the knowledge structure. The narratives for the built knowledge structure are then developed in the context of rural social innovation to enhance our understanding. This study found three findings. First, the trend of keywords “community”, “governance”, and “rural” have increased significantly in the field of social innovation. Second, an investigation of the intensity of the topics found six dominant groups of topics, namely actor, business model, natural resources, food security, governance, and urban. Third, the co-word analysis shows that the word innovation is closely related to the terms: sustainable development, social entrepreneurship, social enterprise, rural community, electronic commerce, co-design, and social behavior. The mapping of key terms shows that the structure of the global social innovation research landscape is quite complex. However, it can be broken down into five main parts: objectives, inputs, transformations, outputs, and outcomes.

Original languageEnglish
JournalManagement Review Quarterly
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Co-citation analysis
  • Co-word analysis
  • Rural social innovation; knowledge structure
  • Topic modeling

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