نشریه پژوهش های برنامه و توسعه
سال چهارم شماره 1 (پیاپی 13، بهار 1402)

Our society calls for Islamic structures, equal chance, justice, and support for the disadvantaged in creating businesses. These issues can be facilitated within the framework of Islamic banking which in turn doubles the growth of entrepreneurial activities. The current research was carried out with the aim of identifying the factors affecting entrepreneur-oriented Islamic banking with a meta-synthesis approach. To this end, 47 studies were extracted from various scientific databases for the period 1990-2021 and analyzed using the seven-step model of Sandelowski and Barroso, to extrapolate the relevant concepts and categories. Based on the research findings, 18 concepts were identified in the form of 7 categories, which were divided into economic and social factors. The categories of changing risk management in investments, granting credits based on Islamic contracts, changing the pattern of bank deposit reserves, respecting the rights of beneficiaries, managing financial markets based on Islamic contracts, establishing justice-oriented contexts, and paying attention to the culture and knowledge based on Islam are identified as the factors affecting Islamic banking.

Today, the economy of innovation based on knowledge as an important and vital factor, has attracted the attention of businesses for value acquisition and a sustainable competitive advantage. Therefore, the aim of this research is identifying and ranking the key factors affecting the value acquisition based on the innovation economy in knowledge-based IT (information technology) companies. The study was conducted using mixed method approach. In the qualitative phase, the most important indicators were extracted using MAXQDA software based on the theoretical foundations and literature review, as well as interviews with 12 experts in the IT field, who were selected by the snowball method. Then, in the quantitative phase, a questionnaire was designed based on the indicators and given to 103 policymakers and practitioners in the knowledge-based IT companies, who were purposefully selected. The validity of the questionnaire has been confirmed according to the opinion of experts. The reliability of the questionnaire, the analysis of the extracted factors and the validation of the final research model were investigated using SMART PLS software. Finally, the final research model with 22 indices in 7 factors was confirmed. The results showed that all 7 factors have a significant impact on the value acquisition based on the innovation economy. The factor regarding dimensions of the value acquisition is in the highest rank and then the IT resources, innovation in IT, IT, business and market, the innovation economy, and security and laws are placed in the next ranks, respectively.

This paper aims to investigate the effect of demographic variables such as age, gender, education of the head of household, and the number of family members on the dynamics of net income in urban and rural households for the period 2000-2019. To this end, pseudo panel data constructing 25 age generations of people born in 1930-2004 has been used. The results show that males, the education of the family head, and the number of family members have a positive effect on the dynamics of the net income of households, while age has a negative effect. High level of income in the previous period will decrease the income change in future periods. In addition, the results show that all of the effective factors on dynamics of household income will increase the inequality in income changes, of which education, previous income, and age of head have the most determinant effect.

This study was conducted with the aim of investigating the problems of the knowledge-based economy in Iran, with an emphasis on innovation. In order to identify causal relationships of problems and roots, focus group consensus building, fish bone technique, five whys, thematic analysis, and cross-impact analysis matrix of problems and roots, have been used. Also, the identified problems and their roots are prioritized. The results confirm that the low accountability of executive bodies in charge of technology and innovation development, the traditional entrepreneurial chain, and the weakness of business platforms in the field of the knowledge-based economy are of great importance in knowledge-based problems. Moreover, lack of meritocracy, managerial inefficiency, taking advantage of some officials in maintaining the status quo, and weakness in basic education have had the most important effects on knowledge-based problems and have been recognized as the essential causes of problems in the knowledge-based economy.

Balancing supply and demand, mitigating market tumult, improving production efficiency and productivity, transparency, and traceability of strategic agricultural distribution networks depend on intelligent management of the agricultural supply chain. For that reason, the purpose of this applied research was to design a model of intelligent management of the supply chain of agricultural businesses. In this regard, after library studies, in the first step, field studies were conducted through in-depth interviews with 33 experts from the public and private sectors active in the agricultural supply chain, who were selected by theoretical and non-probabilistic sampling. To analyze the data, qualitative data-based and coding methods were used. The validity and reliability of qualitative data collection tools were confirmed and based on the research findings, 1556 open codes, 75 core codes, and 9 selected codes including economic and financial factors, marketing and sales, production and operation, institutional, infrastructure, and logistics, communication and information, technological, climatic, environmental, biological and political were identified; accordingly, the effective factors were classified by qualitative analysis using Maxqda2020 software. Then, the research paradigm model was designed based on 7 main factors (46 sub-factors), 8 supply chain strategies (34 strategic actions), and 23 financial and non-financial consequences to achieve intelligent supply chain management.

The development of thermal power plants for the continuous supply of electrical energy requires an average of at least 3 years, hence the necessity to plan for proper infrastructure and requirements. Governments strongly need the participation of the private sector for economic growth and increasing efficiency in the construction of power plants. The present research attempts to plan the development of thermal power plants to maximize the share of the development of private power plants considering the limitation of gas fuel in Iran in the 7th development plan. Therefore, to predict the peak load of the power grid during the study period, two methods of the Arima time series and Narx neural network are used. Also, the effect of two exogenous and emerging variables, including the growth of consumption resulting from the mining of crypto-currencies and the growth of industrial consumption on the peak load rate, is investigated. To achieve higher accuracy, the research method is formulated by combining mathematical modeling and considering general and experimental factors and limitations affecting the problem. Then, the capacity of private power plant development to provide the expected load increase in the study period is determined according to the fuel limit stated in the upstream documents. The results demonstrate that during the years of the 7th plan, due to the maximum fuel limit, it is possible to plan to increase the thermal power capacity by 5157 megawatts.