Identifying and classifying the actors of Native Search Engine

Document Type : Research Paper

Authors

1 Faculty Member of Technology and Innovation Policy Department, National Research Institute for Science Policy (NRISP)

2 Faculty Member ,Information Technology Department, Research Institute for Information and Communication Technology, Tehran, Iran

Abstract

The purpose of this article is to present the development model of Iran's native search engine ecosystem. The statistical population of this research includes experts and specialists in the field of business ecosystem. The sampling method is purposeful and in order to collect information, people who have sufficient expertise or knowledge in the field of the current research have been selected. The method used to collect information was interview. The findings of this study include the identification of the different stages of the life cycle of the ecosystem, the actors of the native ecosystem and the role of each one and the connections between them, and finally, the design of the value network of this ecosystem. By using the results from the analysis of the interviews and focusing on the value flow mapping model, the types of flows that can exist between the actors were identified. For more traditional business models that use the supply chain model, common methods for forming the business model, such as business canvas, are suitable tools. While for new business models that require new ecosystems, a new method called the value stream model has been developed. Also, the communication and interactions between the actors was investigated. For this purpose, four streams of services, financial, information and intangible value were identified based on modeling Apple's welding ecosystem, and then by mapping the stakeholders and actors with the services and participants in the local welding project, the value network between the actors was designed.

Keywords

Innovation EconomicEcosystem Studies
Volume 2, Issue 3
September 2022
Pages 1-24

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