نشریه مدیریت فردا
پیاپی 60 (پاییز 1398)

One of the key factors of countries’ planning in order to reach a stable long-term economic growth is existence of a proper financial market. Based on economic literature, efficient financial markets can positively affected economic growth of a nation. Furthermore, investigation of effects of insurance which under a favorable financial market can make a direct and indirect influences on economic growth is mainly crucial for scholars. The main purpose of this study is to find out the effects of insurance and financial Structure on economic growth of 40 selected countries using a panel data approach over the period of 2000-2012. The results revealed that financial structure in some cases has significant effect, while in a number of cases, it shows insignificant impact. Also, the financial development index has a negligible negative effect on the economic growth of advanced countries and in the same way, this variable in MENA countries has a negative impact on economic growth. Moreover, this variable has various coefficients in several groups of countries. Furthermore, the findings depicted a positive significant effect of insurance on economic growth in advanced economies, while it negatively affects the economic growth in American nations.

A new concept in the area of achieving sustainable development goals is sustainable banking which is of particular importance in developing countries. To succeed in achieving sustainable banking goals, it is necessary to identify and conceptualize the underlying factors. This paper aims to identify the critical factors for sustainable banking success. This paper is an applied research in terms of purpose and has been done with a cross-sectional survey approach. Semi-structured interviews and expert questionnaire were used for data collection. The statistical population of the study consists of managers and experts of the central bank selected by purposeful sampling from among these experts.The research methodology is a mixed (qualitative-quantitative) approach. In the qualitative phase, the thematic analysis method is used to identify the critical factors for sustainable banking success. Then, at the quantitative stage, the identified factors are screened and prioritized based on the Fuzzy Delphi and SWARA method. The results show that the critical success factors of sustainable banking can be categorized into three factors: input factors, process factors and output factors. Support entrepreneurs, marketing management, clear regulation and process evaluation are of the utmost importance in the field of sustainable banking.

Determining the Portfolio Strategies Proper business-to-business placement in industrial marketing for parenting organizations or holdings is one of the most important tasks of planners. In this regard, there are many methods and techniques that many companies have outlined for developing their own portfolio strategy. The use of the life-cycle model helps companies active in modern technologies and organizations active in the industrial market to first consider their strategies for each of the products without considering their internal constraints. Determine. In this approach, by analyzing the status of the indicators associated with the market, the stage of product life cycle, and determined by the status of organizations in leadership or follow-up, specify attractive products.This paper attempts to present the results of this approach to the Sina Electronic Development Company (holding ICT), one of the major companies active in the communications and information industry. The use of this approach and the results obtained demonstrate the effectiveness of this method For industries or fields of modern technology. In this study, the strategic position analysis has also been used to improve the accuracy of the analysis, and the results are presented in the final section.

the present study aimed to investigate the effect of employee empowerment on knowledge sharing in Post and Telecommunication Company in Shiraz city. The statistical population consists of 210 people of all employees working in the PTC of Shiraz city. The sample size was determined 132 people according to Morgan table. Since this research discovers new facts and gives immediate answer to a question, it can be classified as an applied research by purpose. In addition, the Methodology approach to research is of descriptive-survey type that a standard questionnaire which its reliability was confirmed by Cronbach's alpha coefficient (0.799) was used to collect the date. The smart PLS software was employed to analyze the data. The results showed that knowledge empowerment of employees on knowledge sharing has a significant impact on knowledge.

Startup accelerator program is a new incubation model to accelerate venture creation providing specialized mentorship, networking opportunities and financing growth driven businesses. Since emergence of the first accelerator in US in 2005, the number of seed accelerating programs has quickly grown worldwide. Performance evaluation of these emerging programs not only could clarify relative success of this new incubation approach but also help out Iranian emerging accelerators to benchmark from pioneers of the industry. The evaluation could also assist startups and entrepreneurs to find out which of the existing accelerators are well-performed and thus ease decision making to select them as their incubator. So in this paper we aim to measure the performance of US top accelerators using a DEA method combined with goal programing approach. The inputs of the evaluation consist of numbers of mentors and startups, investment on each startup in average and in general, and the share of accelerator in startup company. The outputs in turn are different and include number and value of exits, and fund raising. Comparison of the final result with Seed Accelerator Ranking Project (SARP), shows different sorting and it is due the distinct evaluation approach. SARP considers only outputs of accelerators but we take in to account both outputs and inputs in the evaluation which could better illustrate the efficiency of DMUs.

Nowadays, with the advent of the concepts of risk management and sustainability and increasing of social pressures to reduce the negative impacts of industries on the environment and society, it is almost impossible to make strategic decisions such as the supply chain network design (SCND) without considering these concerns. Accordingly, in this paper a general mixed-integer linear programming (MILP) was developed for designing a closed-loop supply chain network, under disruptions conditions and sustainability considerations (focusing on social aspects). This is a multi-echelon, multi-product and multi-modal supply chain network. The sanctions on raw materials (as disruption events) were considered in the mathematical model through planning some scenarios. The most important decision variables in this model are related to: supplier selection, quantity of each raw material, facilities location, products flow between different facilities and transportation modes. Finally, designing a closed-loop supply chain network in Iran's tire industry was taken as a real world case study to demonstrate the applicability and effectiveness of the proposed model. In addition, the sensitivity analysis on some of the important parameters was carried out.

Nowadays, the manufacturing and service organizations are considering customer satisfaction as an important criteria for evaluating the quality of their work. The importance of customers and their satisfaction is going to be the main purpose of organizations. The aim of this study is to propose a model for evaluating the customer satisfaction index (CSI) in the field of information technology (IT), which after reviewing the literature and identifying the main variables of, the factors which have the most important role in the field of evaluating customer satisfaction index were introduced by the analyzes done with Smart PLS 2 and SPSS softwares. According to the results of this study, the significance of all the paths and hypotheses were accepted and the most important of all is the significance of service support in relation to the variables of the American Customer Satisfaction Index (ACSI) which was accepted with a high path coefficient and correlation. This means that service support has a high importance in developing customer and client satisfaction in this field

The high-tech operating system, is the most important software infrastructure in the exchange of secure electronic information for a country. Hence the availability of indigenous operating system technology in the country can increase economic stability, employment and information security. Some countries, such as Turkey, China, Canada and the United States, have operating system experience. In this paper, the evaluation of the attractiveness and capability of the native operating system technology of Iran will be evaluate from the perspective of the functions of the innovative technology system in its implementation experience. First, the status of the native operating system is reviewed. The criteria's for determining the attractiveness and capabilities of the native operating system are extracted from the literature review and measured by the questionnaire tool and the opinion of the experts. Then, the effect of the functions of the native operating system technology innovation system on the attractiveness and capability created by the Delphi method is investigated. The results showed that the native operating system has a moderate appetite, but has below average capability. In addition, these results are the result of the effects of knowledge dissemination functions, knowledge development and search guidance. The policy of the authorities and the lack of attention to this area has slowed the development of this technology and reduced capacity in this area.

Knowledge-based age, in which knowledge, as the most important capital of organizations, requires a different managerial approach to organizational issues and employees. Therefore, influential leaders in the form of a pension will evaluate the amount of production, dissemination, exchange and application of knowledge among their employees in order to achieve organizational goals and improve the performance of the organization. The purpose of this research is to investigate the effect of individual knowledge management and leadership style on organizational performance in Tehran municipality. The research type is descriptive-survey based on the purpose of the research and the method of data collection. The statistical population of this research is directors, advisers and expert experts of the municipality of Tehran in the highest organizational occupation (three categories) in terms of career 14 - 15 - 16 which is equal to 2467 people. The appropriate sample for this study was 332 people based on Cochran's formula. In this research, a questionnaire was used to collect data. In order to fit the conceptual model of research and hypothesis testing, structural equation modeling and LISREL software were used. The results of the research show that the variables of individual knowledge management and leadership style have a significant effect on organizational performance of Tehran municipality; also, the effect of individual knowledge management variable on approved leadership style.

High cost, the risk of ending fossil fuels and pollution severely threatens metropolitan areas today and therefore paying attention to renewable energies is inevitable. This paper presents a three-level supply chain of bioethanol production with the three objectives of maximizing profit, reducing environmental impacts and maximizing social impacts, using the Epsilon-constraint method for optimization. On the third level, there are several consumer markets that satisfy end-customer demand. The type of feedstock intended is sugarcane, which can be used to produce bioethanol. The planning horizon of the model is multi-period, and the relationship of chain levels to each other may be disrupted. Finally, a case study in the Southwest region of Iran demonstrates the function of the model.

The purpose of the present study is to provide a model for creating the superior value proposition through strategic focus on designing a unique marketing strategy for the company. In this regard, the qualitative method of data theory of the foundation has been used. The statistical population of the present study is marketing professors and marketing activists of packaged food products. The interview method has been used to collect the required information. The results of qualitative data analysis with MAXQDA software show that functional value, value, interactional value and emotional value as the proposed company value, value of use and exchange value as dimensions of perceived customer value, customer satisfaction and loyalty The customer has been identified as the dimensions of the marketing outcomes and ultimately the volume of sales, market share, net profit and return on investment as aspects of the financial implications of the proposed firm's value. In addition, the outputs indicate that the company's proposed value in the number of code count and in terms of generalization and learning in the majority of respondents is a priority, which indicates the importance of this category. Afterwards, the financial, marketing, and perceived value of customers are ranked next. This suggests that in our country, the strategic perspective (value from the perspective of the company) among the food industry managers and marketing professors is more general than the marketing perspective.

Considering worldwide development of Maintenance Management models, it is essential for organizations to pay attention to environmental differences among various organizations in order to achieve success and make their required model compatible with specific circumstances of their own organization. In the following research, developing one executive model of maintenance management has occurred applying ISM interpretational structuring theory. In order to achieve this; firstly, the components that have composed maintenance management model have been revealed applying prior studies and interviews. The conclusion of this stage is identifying 56 sub-component and 14 component in the form of 6 essential components. In the next stage, in order to create communication and sequence between the components and constituents, interpretational structuring model has been applied. In the mentioned procedure, the structure of maintenance management has been extracted based on reporters' ideas and performed analysis. The results indicate that six basic components (leadership, foundation, methodologies and foundations, support, improvement and Excellency) constitute fundamental basis of every maintenance management in every organization and other components and sub-components being researched are initiated from these six components and eventually, they would lead to improvement and Excellency of the organization.

The growth of a company is considered to be an important economic goal. Given that many small and medium enterprises do not grow into growth and fail in the early years of their operations, a predictive system of corporate growth can be offset by the huge costs Starting businesses, entrepreneurs and companies to pay. Accordingly, the purpose of this study was to predict the growth of small and medium enterprises with the combination of neural network and meta-heuristic algorithms. The purpose of this research was applied and based on the method of doing descriptive-modeling work. Statistical population of this research was all small and medium enterprises of Zanjan province. Statistical sample size According to the growth of companies, 158 companies has been designated. In order to collect data in this study, interviews, questionnaires and documents of companies have been used. Validity and reliability of the questionnaire were verified and and using Cronbach's alpha coefficient. In order to analyze the research data using confirmatory factor analysis methods, the neural network of multilayer perceptron, neural network combined with genetic algorithm and neural network combined with particle swarm algorithm have been used. The results show that all three methods are able to predict the growth of the company. Among these three methods, the best predictive method for growth of the company is the neural network combined with the particle swarm algorithm with the least error rate compared to the other two methods.

Constant changes in the business environment compel companies to think about new product development. In order to meet customer needs, active engagement with the customer and, more specifically, customer involvement in the process of developing new product is essential. The purpose of the present research is to identify the effective factors on customer involvement in the process of new product development in the food industry of Mazandaran province. Six effective variables include organizational strategy, new product features, external environment, organizational features, customer attributes, and relationships. The purpose of this research, in the form of applied research and in terms of the implementation of research, is descriptive-causal research. The statistical population of the research is the managers of different parts of the food industry of Mazandaran province, including production, product, marketing, brand, and other parts of the organization. The data gathering tool was a researcher-made questionnaire. In this research, structural equation modeling (SEM) has been used to analyze data and examine the hypothesis. The results showed that the organizational strategy variables, organizational characteristics, customer characteristics and relational factors have a positive and significant effect on customer involvement in the process of new product development. While the two variables of product and environment characteristics have no significant effect on customer involvement. Therefore, according to the results, food industry companies should pay particular attention to strengthening these factors in order to attract more customers to develop new products.

Investment management in life insurance is very important because of its specific features. Unlike other insurance policies, life insurance is long-term and focused mainly on return on investment. Also, due to the 85% participation of insurers in the surplus of interest, the surplus in a period has little income for the insurance company,but the insurance company has a guaranteed return on the deficit. In addition, high return is one of the main factors of insurance companies competition in marketing. Also, insurance companies need to make sure they have enough liquidity to fulfill their obligations. Despite the fundamental differences between life insurance and property and liability insurance, No 60 Central Insurance Regulations do not differentiate between the investment of the above insurance reserves. In this study, we designed a portfolio optimization model for life insurance investments. Accordingly, the Markov Switching Vector Auto Regressive based on ideal optimization with contrasting goals set with the actual performance of the company. Optimization has been made in the portfolio of life insurance based on Moalem Insurance Company from 2012 to 2016. Investment weights have been implemented by simulating the Markov Switching VAR model with optimization objectives including maximizing insurance returns, minimizing shortfall, maximizing policyholder returns and minimizing liquidity shortages. Based on the results, the ideal planning optimization model produces more returns than the actual returns of the insurance and performs better in other objectives. As a result, this approach can be used to optimize life insurance investment portfolios in insurance companies.

Nowadays one of the most significant problems in Iran is the separation of the country's industry from academic institutions such as universities. This reduction of distance not only can help students to find occupation related to their specialty and interest, but also can help the country's industries to hire employees with skills that industry needs. On the other hand, reducing the gap between the industry and the university will reduce unemployment, reduce the cost of training after employment and increase the student’s morale. In addition, research and development units of universities can understand the challenges of the industry easier than past and make the researches that needed by the industry more efficiency. Finally, eliminating this gap is also help them to transfer technology between themselves. Undoubtedly, establish a communication system between universities and industries, need to provide a lot of necessary indexes and evaluate all aspects before implementation of the system. One of the most important factors for starting a business is knowing the laws, standards, and standards that exist and are relevant to this business. One of the most important factors for starting a business is knowing the laws, standards that exist and are relevant to this business. In e-commerce, there are a number of laws in Iran that all of the existing laws should be considered in order to implement this business. These laws include the laws of commerce in Iran, e-commerce law, jurisprudence rules, and technical standards. Knowing these rules will recognize the restrictions of the website expansion and become more familiar with the implementation standards of this system.