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.

中文翻译：

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展示开放数据管理（生态系统）模型，并在伊朗知识型公司中开发创新的信息流方法

目的

本研究旨在提出一种开放数据管理模型，用于在伊朗知识型公司（企业）中开发创新信息流。

设计/方法/方法

该方法是混合的（定性-定量），数据收集工具是访谈和问卷调查。定性部分使用扎根理论方法确定开放数据管理（生态系统）中的影响组件。根据定性部分的结果和理论基础编制问卷，定量部分采用分析调查法，采用因子分析和定性部分整合提取模型。

发现

七大类创业激励、可持续价值、创新特征、挑战和障碍、参与者、商业模式和要求是开放数据管理（生态系统）中应考虑的主要类别，所有类别的研究都与开放数据管理有重要关系.

原创性/价值

该研究从创新范式的角度关注开放数据管理及其在开发创新信息流中的作用。该研究旨在确定开放数据生态系统的关键组成部分、开放数据价值创造，以及使用“开放数据”方法在伊朗发展数据驱动和知识型企业的必要性——这是一种在很大程度上被忽视的新兴方法。