INNOVATION MANAGEMENT JOURNAL
Year:2022 | Volume:11 | Issue:2|Papers Count:6

Governance is the result of officially announced rules (policies, laws, etc. ) and informal interactions of actors in policy networks. In other words, the policy network depended on the power of a set of governmental and non-governmental actors involved in public policy-making, both formally and informally with institutional connections. In this article, the current situation of governance at four levels and based on the rules and regulations as well as the opinions of experts in the current situation is reviewed using social network analysis. Using the indicators of the position of actors in the network, their influence and their competence, these two situations are compared with each other which provides the basis for providing policy proposals is at all four levels. By comparing these findings with the perceived competency and influence, the proposals are in such forms: increasing the competency and influence of institutions that, despite their high power in the legal system and the opinion of experts, have little competence and influence,Strengthen the legal status of institutions that have high competence and influence and high power from the perspective of experts,And reviewing the missions and roles of institutions that, despite their high competency and influence and high legal status, did not have high power from the perspective of experts.

Accelerators have become important players in entrepreneurial ecosystems recently. These start-ups support organizations use a different evaluation and selection process than other business models such as incubators. The main reason for this difference is the high uncertainty of the start-ups in the early stages. Therefore, in order to evaluate start-up applicants, assessors must develop methods that are appropriate for decision making taking into account incomplete and limited information with high variability. This research aims to identify how expert assessors decide whether to accept or reject an applicant for the pre-acceleration. Examining the 32 verbal protocols from IT accelerators in Tehran it was found that they use the “, one reason decision making”, , which consists of search, stop, and decision rules. The innovation of this research can be considered in the use of think aloud method and analysis of verbal protocols in the framework of ecological rationality.

One of the important tools of government in supporting the research and development activities of the enterprise is the use of tax incentives. Study of developed countries shows tax instruments are generally used in the form of expenditures and tax credit. The experience of implementing tax incentives in the law on supporting knowledge-based companies and institutions in Iran, shows the tax instrument has moved from the income approach to the expenditure approach. However, a suitable policy model for this policy transition has not been proposed so far. In order to implement requirements and effectiveness of this historical transition in the form of a policy model, this research carried out as a case study aiding from content analysis method to extract the axial categories. The data gathered through conducting semi-structured interviews consisted of 11 interviewees. Results shows-in terms of implementation-the categories of implementation simplification and policy sustainability are of great importance. In terms of effectiveness-the categories of high technology research and development risk coverage and encouraging new research and development should also be considered.

The dominance of mobile operators in the value chain is at stake, and most mobile operators have not yet found an innovative way to respond to this challenge., the purpose of this study is to identify the steps of the robust business model of Iranian mobile phone companies in the face of broadband mobile technology. The present study is a qualitative-quantitative applied study that has used the futures research approach. In this study, 2 questionnaires were used. According to the research conducted in the field of important and effective trends in the mobile operator industry and the studies and experiences of the researcher, the most important trends were evaluated according to the two indicators of future uncertainty and impact and all the high-impact trends that were in the high probability matrix section are important for deciding the right business model. Based on the analysis of extracted business models suitable for mobile operators, 4 layers of activity areas (connection, content, context and trade) were identified and also from the combination of these four layers, 15 business models were created. MATLAB program was selected as the most consistent business model based on the criteria of total desirability, maximum optimal desirability, maximum minimum desirability, etc., No. 9 business model Was selected as the most robust model.

Technology transfer is one of the most important ways to acquire and develop technology for organizations including petrochemical industry. One of the most critical factors influencing technology transfer is the characteristics of the technology receiver. This feature includes mechanisms, structures and processes within an organization, called “, structural capital”, . Based on the role of the petrochemical industry in other industries and economies and the importance of technology and its transfer in this industry, a model that provides effective structural capital in technology transfer, can provide a framework for understanding and behavior of this capital in technology transfer. This applied research, surveys to present an effective structural capital model in technology transfer in Iran's petrochemical industry. Relying on the literature, structural capital indicators were extracted and summarized by the help of experts, to design a questionnaire. The statistical population of the research covers people who have participated in at least one technology transfer project in the petrochemical industry, using simple random method. The temporal scope of the research focuses on data from the experience of the last thirty years of aforementioned people, which has been collected during a continuous period of Iranian calendar 1399. The spatial and organizational scope of this research includes active production complexes in the petrochemical industry throughout Iran. Using exploratory factor analysis, the dimensions of structural capital were identified and tested using the confirmatory factor analysis. Finally, the structural capital model effective in technology transfer in the petrochemical industry was explained and presented in five dimensions: 1) Renewal capital, 2) Supportive systems and methods, 3) Knowledge management infrastructures, 4) Supporting organizational culture, 5) Appropriate organizational structure.

Imposing sanctions on some industries in Iran over the years have led many large industries to seek supplies from domestic companies. In these circumstances, and given that many needs are met through the collaboration of companies, the development of technological collaboration seems essential. Therefore, many large companies are looking for technological collaboration with other companies. Despite the need for technological collaboration in the current situation, technological collaboration faces serious challenges and in some cases this collaboration does not take shape. Hence, the government could develop collaborations by establishing policy tools. So, this research aims to identify the policy tools for the development of technological collaboration between industries and knowledge-based companies to achieve the desired situation in country. In this regard, by conducting purposeful interviews with experts in the field, the policy tools for the development of technological collaboration were extracted and examined by content analysis. These tools can be classified into three categories: supply stimulation tools, demand stimulation tools and infrastructure improvement tools.