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- W4210348532 abstract "Purpose This study aimed to present a model for open-data management for developing innovative information flow in Iranian knowledge-based companies (businesses). Design/methodology/approach The method was mixed (qualitative-quantitative) and data collection tools were interview and questionnaire. The qualitative part was done to identify the influential components in open data management (ecosystem) using the grounded theory method. A questionnaire was developed based on the results of the qualitative section and the theoretical foundations, and the quantitative section was conducted by analytical survey method and the model was extracted using factor analysis and the integration of the qualitative section. Findings Seven categories of entrepreneurial incentives, sustainable value, innovative features, challenges and barriers, actors, business model and requirements are the main categories that should be considered in open data management (ecosystem) with all categories of research have a significant relationship with open data management. Originality/value The study focused on open data management from an innovation paradigm perspective and its role in developing innovative information flow. The study aimed to identify the key components of the open data ecosystem, open-data value creation, and the need to use the “open data” approach to develop data-driven and knowledge-based businesses in Iran–an emerging approach largely ignored." @default.
- W4210348532 created "2022-02-08" @default.
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- W4210348532 date "2022-02-03" @default.
- W4210348532 modified "2023-10-17" @default.
- W4210348532 title "Presenting an open data management (ecosystem) model with developing innovative information flow approach in Iranian knowledge-based companies" @default.
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- W4210348532 doi "https://doi.org/10.1108/ajim-07-2021-0186" @default.
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