درخت حوزه‌های تخصصی

Today, business environments are fast changing and Nanotechnology-driven firms are opening up their organizational boundaries to tap into an external source for R&D activities. To reform the structure of the R&D activities in order to be successful, firms face challenges in finding a proper place in the R&D ecosystem. Therefore, this research examines the open R&D ecosystem through these key questions. Which components can form an open R&D ecosystem and how do interactions behave in a dynamic model? This research is done in 3 stages; the first stage is data collection based on the Fuzzy questionnaire, then the data analysis through the Fuzzy-DEMATEL method, and finally modeling the dynamics of the open R&D ecosystem.. This research is applied in terms of purpose and descriptive survey information in terms of collecting information. The findings suggest that Nano-tech in Iran relies on two main components that affect each other: technological innovation performance and ecosystems. the result shows that inside the ecosystem, the most share of activities is related to the human resources and governance sub-ecosystems. In addition, scientific works under the concept of technological innovation performance have the greatest impact from sub-ecosystems, and the balance between performance and ecosystem is a possibility for Nano-firms to do more R&D activities. Overall, this study provides a better understanding of open R&D by suggesting that further opening of the R&D ecosystem is necessary for nanotechnology.

Intelligence is an essential factor in supply chain. It prepares the ground for effective and timely communication and facilitates information sharing among supply chain components in both production and service sectors. Hence, the present study seeks to identify the components of services intelligent supply chain and categorize them as a comprehensive model by using the meta-synthesis approach. In this research, total of 437 articles in the field of services intelligent supply chain was identified and examined at first step. Articles were in the period of 1980 to 2022. Finally, after evaluation of articles, 53 articles remained. Then, based on the process of the meta-synthesis and the use of coding method, four main fields and a number of sub-fields were found for the services intelligent supply chain variable. Initial codes introduced in the software for conceptualization and categorization. The main fields of services intelligent supply chain included intelligence dimensions, intelligence conditions, intelligence strategies and intelligence consequences. Each of these main fields has a number of sub-fields. The result of the study shows that in order to implement the services intelligent supply chain, several dimensions and components are considered, concepts such as real-time online information flow, intelligent fund flow, intelligent services flow, process management and technology infrastructure play an important role. Suggestions are presented in accordance with the comprehensive model identified. Also, the conceptual model designed can be useful as a basis for future research in the direction of practical manual in the effective use of the services intelligent supply chain.