فصلنامه سیاست علم و فناوری
سال هفتم شماره 4 (پیاپی 24، پاییز و زمستان 1393)

Disregarding the social and environmental issues in popular innovation models, in addition to more concerns to social justice, justifies the necessity of evaluating the consistency of these models with social justice. Using thematic analysis, this paper, proposes a framework for the evaluation; and assess the compatibility of the linear model of innovation and the broad approach to national innovation system to the social justice goals. The findings show that although none of the models are completely consistent to justice, each is congruent with some of the proposed criteria. That is while the broad innovation system has the capacity to include social justice concerns in its analysis.

E-government implementation in different countries follows different models that are based on the patterns of government attention to aspects of e-government. However, identifying and understanding specific dimensions of electronic government is important. this paper considers e-government in the form of a socio-technical system and identifies aspects of e-government. To identify the dimensions of e-government implementation used library studies and for suitability and relevance of dimensions and providing policy advices, expert panel of is used. By using archival data, the clustering process is conducted to determine patterns. At the end, each patterns are analyzed and categorized s and policy recommendations are presented for Iran e-government implementation.

Changes in the economic and social environments caused the traditional approach to universities and research centers as the producers of knowledge to be revised and a new approach to be configured. In this approach, the universities are more responsible for turning their research achievements into the factors of economic growth, prosperity and society wealth and should make more attempts to transfer and employ knowledge in economic, social and industrial areas so as to be interpreted as the commercialization of research results and accepted as one of the main missions and functions of universities besides the education and research. Lack of a comprehensive and integrated framework for the commercialization of research findings in universities and research centers was the salient issue identified in the literature. Presenting a conceptual model in response to the question “how to commercialize research results”, it is expected to solve a real problem of universities and research centers and it answers the theoretical gaps in this study field. This paper probes for a comprehensive conceptual framework with an exploratory study and comparative to identify the most important factors which form the background to achieve commercialization and classification of factors on the basis of the characteristics of each component/ factor/ variable within a Tri-Category conceptual framework. With combination of variables and generation of the three dimensions ofcontext, structure, content, the conceptual framework of this study was developed. The proposed conceptual framework was developed with three rounds of Delphi method by collecting data of the 25 experts, and model validation study was presented at the end. Based on the findings, the eighth stage of the commercialization process were identified and 29 factors that affect the commercialization of research, consensus was achieved (Kendall coefficient = 0.804). Also, analysis of expert opinions with Friedman test, Showed that contextual factors the first and the top rated, Content and structure factors were ranked second and third in priorities of panel members in affecting on commercialization of university research.

In recent years utilizing Information Technology (IT) has had major advantages in countries’ development plans. Having investigated a set of national policies and action plans from other countries can help Iranian policymakers to propose a proper model for the country. In this paper, first we review the main national IT documents of neighboring countries, then gathering the main 13 Iran’s national IT documents; a few major evaluation criteria have been proposed. To do this choosing the STEEPLV framework, all the documents have been investigated based on the framework’s constructs and the strengths and weaknesses of each document have been emphasized. The results show the main aspects which the policymakers should note in the new national plans.

Nowadays, small knowledge-based firms (KBF) play essential role in the application of knowledge, economic growth and creating jobs in the world. Developing these companies is one of the main progress factors of any country. Recently in our country, there is also a special attention in the governments to the growth of these companies, but the important point in this field is the lack of proper characters and a true definition of KBF based on our country’s conditions. Unfortunately, most of the definitions in the internal research are based on the scientific literature on the advanced countries. This research qualitatively based on a hybrid model, during a scientific process in three stages tried to achieve an appropriate definition of the KBF. In fact, KBF’s defined in this study have functions that exactly match the economic conditions of Iran for sustainable development.

This paper claims that the failure of innovation network could be related to the type of knowledge base of innovative activities within that network. Different aspects of innovation networks are affected by this knowledge base like geographical configuration, structure, key members, and type of relations among members. Having a discussion about networks failure, this paper studies and analyzes the relation between knowledge base and failure of innovation networks through analysis of empirical data which is extracted from four case studies of innovation networks in oil & gas industry with synthetic knowledge base. Two of these networks were succeeded and two were failed. The findings show that in the networks with synthetic knowledge base, the more academic members are involved, the more the structure is decentralized, the more relations are formal, and the more governance is open; then the probability of network failure would be more.