فصلنامه بهبود مدیریت
پیاپی 58 (زمستان 1401)

The main purpose of this study is to Measuring the efficiency of technological units in strategic industrial by regional development aspect. To achieve this goal, first define the criteria for regional development and after weighing these criteria, define the indicators for measuring the efficiency in terms of regional development and finally extract the units efficiency.Research

This research, from the perspective of research orientation, is applied and based on quantitative and qualitative methods. The research strategy is descriptive-survey, from the perspective of the purpose, descriptive, from the perspective of time horizon, cross-sectional and from the perspective of the method of data collection from interviews and documentary studies. The fuzzy Delphi method has been used to determine the criteria for regional development, the fuzzy hierarchical analysis method has been used to weight the criteria, and the fuzzy TOPSIS method has been used to rank the performance indicators. Finally, the efficiency of the units was obtained by Data Envelopment Analysis method.

In this study, 8 regional development criteria appropriate to the research topic were introduced. Then, the weight of these criteria was determined and 22 input indices and 22 output indices of technology units were ranked with these criteria. Finally, 18 units ranked in terms of efficiency.

Saffron and dairy production industrial companies had the highest efficiency rank in terms of regional development.

Defensive industries are responsible for equipping defense forces The main problem of this research is the existence of economic, scientific, production and ... restrictions Which is due to sanctions And has led to the creation of some barriers and challenges in defense industries .In this research, the presentation of a new organizational pyramid model based on the theory of dealers, To cope with constraints, With the aim of meeting the needs of stakeholders Maintaining the power of defense product lines  With this approach, the importance of this research is necessary.The type of research is practical  Using the exploratory blend method .The method of data gathering was field survey And the data collection tool was interviewed The method of analysis in this research is based on the exploratory method It utilizes a community of 35 top managers, mid-level, operational, experts and elite defense industries findings Provide a new organization pyramid Ability to maintain the power of production lines in crisis And the transition from restrictions Through the dealership approach, Achieving the production system In terms of economic uncertainty, Reduce direct and indirect costs, Use Capacity Ability to go beyond organizational boundaries And identify the network of industrial representatives and service providers to supply the parts .Conclusion Networking, production, storage and distribution optimization based on the theory of agents It will enhance reliability and improve the performance of defense industries in this research

The use of electric buses has a great effect on reducing traffic and air pollution. The purpose of this article was to examine the challenges facing the country to produce and benefit from this product and solutions to solve these challenges. In this research, data was collected through documentary studies and in-depth semi-guided interviews and analyzed through qualitative content analysis. The target community was the experts of electric bus manufacturing companies and related institutions. The number of 72 propositions were categorized into 10 sub-categories and finally 6 main categories, the main categories of which were empowerment, cost, technological cooperation and cultural alignment. Then, action was taken to form a focus group and the extracted challenges and solutions were validated and finalized. Among the important challenges are the dependence on foreign electric propulsion, the unaffordability of bus operations, the high price of electric buses, the infrastructure for conducting some specialized tests to obtain the standard, and the lack of culture for using this new product. Some important solutions include the domestication of electric motors and accessories with government support from domestic companies, the creation of a joint supply chain for bus manufacturing companies, the preparation of a business model based on public-private partnership, and the implementation of Article 12 of the law on removing barriers to production, cultural measures and promotion based on new product and technology requirements, design of night charging system for bus batteries and design of electric base buses

Creating demand for technological products, financing innovation, outsourcing research and development, etc. are among the effective actions of large firms in interaction with knowledge-based firms. On the other hand, knowledge-based firms can also play an effective role in meeting the technological needs of large firms with their scientific and technical ability do However, the interaction of these firms is facing problems due to various reasons and the cooperation of these two pillars of Iran's knowledge-based economy is far from its desired position. In the meantime, government policies can play a significant role in facilitating these connections. South Korea is one of the governments that has taken effective steps to develop interaction between firms by passing the Law on Mutually Beneficial Cooperation between Large Firms and Small Firms and forming the Ministry of Small and Medium Enterprises and Startups. This research, with a comparative analysis and a comparative study of the policies for the development of technological cooperation between South Korea and Iran and the division of the policy tools of these two governments into three categories of tools including tools for stimulating demand, tools for stimulating supply and tools for improving cooperation infrastructure, looking for solutions to develop these cooperations in Iran Is. The focus on supply stimulation tools and cooperation infrastructures is remarkable in Iran, but unlike South Korea, which has used important tools to stimulate demand, there is a serious gap in demand stimulation tools in Iran.

Project-Based organizations of Iran's oil and gas industries, as developers of mega projects in oil and gas sector, play a vital role in the economic cycle .In line with the process of digital transformation in other businesses,, digital transformation is also necessary in these organizations and in this direction, they will face many challenges. Therefore, analyzing the barriers to digital transformation and providing practical recommendations are among the goals of this research. First, barriers to digital transformation were extracted from the research literature and analysis of data collected from interviews with experts in this industry, and then the list of barriers to digital transformation was finalized using the fuzzy Delphi technique. In the following, the model of barriers to digital transformation was designed and explained using the interpretative structural modeling method.In this research, 52 types of barriers to digital transformation in project-based organizations of Iran's oil and gas industries were identified and categorized into 10 main factors. The study of interrelationships between factors shows that environmental factors, unclear vision and inconsistent goals and factors related to the business of a project are among the most influential factors on other barriers, and cyber security and privacy challenges are most dependent on other factors. The findings of the research, by providing information on the barriers to digital transformation and the sequence and mutual relationships between them, provide the necessary insight for key decision makers in order to determine priorities and allocate resources effectively to overcome the barriers to digital transformation.

Artificial Intelligence is an emerging technology that simulate human intelligence in machines and systems for their application business. Development of artificial intelligence requires extensive R&D activities. Management of R&D in field of AI needs to deploy novel knowledge to formulate and implementation of strategy, assign resources, organize and use of special tools. This paper aims, to identify and prioritize the components of data driven management of R&D in artificial intelligence technology. A hybrid technique was employed to perform the research. In Qualitative part, the literature of topic is reviewed, and 12 experts are interreviewed. Their opinions are analyzed based on grounded theory and 8 axial components were identified. In Quantitative part, by a questionnaire, the opinions of 85 experts of R&D and artificial intelligence were gathered through a questionaire and analyized based on structural equations model. The relvance and validity of the components were confirmed. The found components were weighted and proiritized through SWARA method as: systematic management, resources supplying, capability of big data analytics, supportive policies, infrastructures, data science development, organizational factors and business advantages.