mohammad hassan maleki

The purpose of the current research is to Providing a framework to identify the drivers influencing the future of innovative marketing in the banking industry with a focus on blockchain technology.

The current research is applied in terms of direction and has a mixed methodology due to the use of qualitative and quantitative methods together. The theoretical population of the research was experts in banking marketing and digital financial technologies, and the sampling method was done in a judgmental method. The sample size in this study was equal to 15 people. For data analysis, meta-synthesis, Binominal test and developed Copras were used. The tool of data collection in this research was the questionnaires of expert assessment and priority assessment of Copras.

47 drivers were extracted from the meta-synthesis and these drivers were classified into nine cultural, legal, technological, structural and process, fintech, environmental, customer, security and awareness and information drivers. After the theoretical and statistical screening, 12 drivers were considered for prioritization with the Copras. The remaining drivers were evaluated using the Copras technique and three criteria of importance intensity, degree of certainty and expertise of experts. The results showed that the drivers of marketing researchers' interest in digital financial technologies and blockchain and the development of decentralized banking have the highest priority in terms of influencing the future of innovative marketing in the banking industry with a focus on blockchain technology.

Marketing research and financial technology, especially interdisciplinary studies, adjustment and compatibility of marketing methods and strategies in various fields with blockchain technology, investment in fintechs and regulatory improvement and reforming some laws and systems such as reforming the fee and wallet systems, were among the most important practical proposals of the research.

The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance.

To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor.

Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain.

Originality/Value: 

This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions.

The purpose of this paper, Futures Studies of Iran's Oil Industry Supply Chain with Emphasis on Internal Factors. Supply chain plays an important role in the efficiency of providing products and services. This category is becoming more important in the oil industry, which is one of the competitive advantages of the country, and its development can create a lot of currency and employment for the country's economy.

The present research is applied in terms of orientation and exploratory in terms of purpose. Also, the philosophical foundations of research, pragmatism and its methodology are mixed. To conduct the research in the first stage, by reviewing the literature and interviewing oil industry experts, 16 key drivers of the research were extracted. After screening, 8 factors were removed by statistical tests and the rest of the factors were evaluated by Cross Impact Analysis technique.

Based on the degree of effectiveness, the two drivers of government financing policies and oil companies' plans to improve and upgrade oil equipment were selected as important drivers for mapping oil industry supply chain scenarios.

Based on these two drivers, four scenarios of opportunistic supply chain, resource-oriented supply chain, new supply chain and old supply chain were mapped. According to the four criteria for evaluating scenarios in terms of probability of occurrence and application of CODAS technique, the opportunistic supply chain scenario was selected as the most probable scenario.

Financial technology has drastically changed the financial services industry andinstitutions in areas such as banking and insurance. Given the increasing role of FinTech in the future of the financial services industry, important understand the affecting drivers on future of financial technology. The present study seeks to identify and prioritize the drivers affect the future of financial technology in the country. This study has positive philosophical basis due to the use quantitative methods and its orientation is practical. The theoretical population the research is financial technology experts in the country and the samples were selected using judgmental sampling method. Two tools of interview and questionnaire were used to collect data. To analyze the data, the drivers extracted from the literature review and interviews with experts were first screened using fuzzy Delphi and expert opinions. the 14 key drivers identified, 7 drivers were excluded using fuzzy Delphi analysis and remaining factors were analyzed using the best-worst fuzzy typetechnique. Given the weights gained, the drivers of international exchanges and transactions, models cooperation between fintech institutions and traditional financial institutions and paying attention the interests and views of stakeholders in developing laws and regulations have the greatest impact on the future of financial technology.

by increasing the occurrence of disruptions and unexpected changes in the business, the development of a resistant supply chain is a key opportunity for leading companies to gain a competitive advantage and turn threats into unique opportunities. on the other hand, in order to develop a resistant system, the need to monitor and evaluate the current position and planning of improvement route will be undeniable and inevitable. the purpose of this study is to provide a model for assessing the supply chain resistance in the automotive industries.  

In terms of purpose, research is a developmental one. In terms of implementation, it is a descriptive research and from philosophical point of view, it is interpretive. to achieve the research’s goal, in the first step, the most important enablers of supply chain resistance in the automotive industry were identified. then, through interpretive - structural modeling, the causal relationships between them were explained by experts. in the next step, by the graph theory method and matrix approach, the degree of supply chain resistance in optimal, current and minimum conditions in  Pishgam part producing company was determined and the results sensitiveness was analyzed.

The supply chain resistance of this company is at the level of  %31.23. Sensitivity analysis showed that enabling the risk and income sharing, supply chain adaptability and structure are the first to third priority to improve the resistance level of the company's supply chain.

Enabling supply chain structure, cooperation, trust, information sharing and openness are key factors and facilitate the improvement process of other enablers. Financial strength enabler is effect and is acquired  from the improvement of other incentives and will facilitate the process of achieving a resistant supply chain. this model helps managers evaluate the consequences of their decisions to improve supply chain resistance.

Financial technology is the design and delivery of financial products and services through technology, and it is of great importance for industries and business development. The aim of this study is to identify the future of financial technology in Iran through the lens of scenario planning. For data analysis, the Binominal test and EDAS were used. Initially, 15 key drivers were extracted from a systematic review of the literature and interviews with experts. The number of experts in this study was 30 people who answered the questionnaires and expressed their views on the importance of factors in terms of the Likert scale. At this stage, 5 factors were excluded due to the significance coefficient. After screening the unimportant key factors, the key factors were assessed by experts using EDAS, and two drivers of the integration of financial technology laws and standards, and the ease of international exchanges manifested as the top priorities for experts. Based on these two drivers, four scenarios for the future of financial technology in Iran can be identified: the paradise of financial technology, the world of persecution, the abandoned island, and the hell of financial technology. Obviously, the 
financial technology paradise is the most desirable scenario, and the financial technology hell describes the worst.

Following catastrophic events, there are numerous organizations for general health and relief for disaster victims. However, the lack of coordination between them makes the operation of relief operations difficult. This research is designed to extract and prioritize humanitarian supply chain barriers and is divided into three general stages. At first, the barriers to implementation were identified through the study of the literature of the subject and then co-ordinated with the symposium of the scholars. These barriers are classified into five categories: barriers to human resources, structural barriers, technological barriers, cultural barriers, and financial barriers. In the second step, the research questionnaire was designed, tested and improved so that the views of the managers involved in the disaster relief operation were included. At the last step, barriers were prioritized based on their severity importance using the network analysis process. The results indicate that lack of budget estimation, lack of estimation of needs and inadequate state support are important barriers. This means that in order to overcome barriers to implementing the supply chain, the first step should be to address these issues. The findings of this study provide clear guidelines on supply chain implementation, providing a more efficient, robust and systematic approach to supply chain barriers.

The University of Tehran, as the symbol of higher education in the country, has not been among the 100 top Asian universities. The reason for this should be found in the mental account and infrastructures of stakeholders. This paper determines the factors affecting the future of UT and explain the appropriate metaphors for making changes in their policy making and planning layer. For this purpose, CLA method used and the status of UT studied in 4 layers of Litani, systemic, worldview and metaphor. This did through in-depth interviews with four major stakeholders: students, faculty, staff, managers. The results showed that with the traditional attitudes, University of Tehran won't change fundamentally for the next 10 years. In order to allow the university to adapt to the changes in this age, 3 new metaphors were developed and reviewed. Planning for the realization of this metaphor should be done by the method of reflection.

Invulnerability conception suggests the ability of promotion and improvement in the stressful and squally conditions. Indeed, invulnerability shows that when organizations face stressful factors, resistance is not sufficient alone. In these situations, organizations must not only maintain their structures, but also can improve and promote their conditions by learning from stressful factors in long term. If an organization can’t identify stressful factors timely and can’t remedy them, it will be defeated in weak parts and its structure will be lost. In this research, Qom Electrofan Company was evaluated in terms of invulnerability. To that end, the primary framework has been achieved by comprehensive review of literature and the studies carried out about invulnerabilities of different organizations; and experts, by holding sessions, and have extracted and supported the invulnerability criteria, and by the Gray-Dematel method the interaction of criteria was examined and the importance of each criterion is characterized through the process of network analysis. According to the results attained by research, learning by controlled risk can be introduced as the most effective sub-criterion of learning to make organizations invulnerable.

Transportation industry is considered as one of the most important elements of national economy and because of possessing basically role, has abundant effects on process of economic growth of the country. Thus, without existence of transportation network, installations and lateral equipment and desired fleet, imagination of growth and general development of country sounds impossible. in this research with applying two methods of futures study including structural analysis and scenario planning at first proceed to identifying and analyzing key effective factors and then futures scenarios of investing and financing in railway transportation industry (machinery and equipment sector) will be wrote. First data of this research are gathered with using interview with managers and experts of railway industry, literature review and review antecedent researches and analyzed in the form of expert questionnaire and using Mic-mac software. among 40 effective factors, 16 important factors are identified and with analyzing Mic-mac software, eventually 3 effective key factors including economic sanctions, inflation and monetary and financial policies specified. These factors used as basically foundations in writing scenarios. Set of probable conditions of these factors specified by experts and then 7 uncertain conditions considered for them and entered to Scenario wizard software. with analysis of Scenario wizard software, 5 scenarios with high consistency presented and then with regard to experts viewpoints, 2 effective key factors including economic sanctions and monetary and financial policies that have high uncertainty and high importance, identified as pivots of writing future scenarios and then 4 scenarios for future of investing and financing in railway transportation industry presented.

From the beginning, Operations Research or decision models have been met with several developments. Futures survey of OR and the necessity of planning for it in literature is considered less. Sporadic activities in the literature haven’t required methodological. This study aims to identify the exploratory scenarios of OR by Critical Uncertainties approach. To develop the plausible scenarios of OR, the comments of domestic and foreign experts were collected by questionnaire with Delphi approach. After extracting the uncertainties, the plausible scenarios of OR were identified by seminar workshops. These scenarios include: solar system, Esfandiar eye, competitor Satraps, Phoenix. Imagination of the single future for all academic departments is away from reality. According to the conditions, each of these futures and a combination of them are imaginable.

Operations Research is a series of models for studying the organizational issues. Classic models of this field is to optimize and they focus on the quantitative, objective and measurable values. There are many problems that shareholders and values of them seem various, so traditional logic in these issues is ineffective. The researchers have presented the normative scenario for OR by using discourse ethics approach of Habermas and the triple values in this theory. Haberma's approach is selected because of its comprehensive compared with other approaches such as utilitarianism and Kantian perspective. The values of Haberma's approach include: pragmatic values, ethical values and moral values. According to these values, three models were identified. These models are: pragmatic models, participative models and normative models. In addition to these models, a desirable and mixed model has been introduced for the organizational problems. Plural models are looking to improve and focus on multiple values and rationality. These models are based on the philosophy of critical pragmatism. Finally, researcher's classification was compared with the Keeney's approach and was suggested benefits.

Work system safety is a function of many factors, besides its dynamic and complex structure. There may be relations and dependencies among the safety factors. Therefore, work system safety should be analyzed in a holistic manner. In this study, the faulty behavior risk (FBR) which is significant in work system safety is tried to be determined through analytical network process (ANP) which is an extension of analytical hierarchy process and allows analysis of complex systems. In first step, different influencing factors, which are determined from different sources, are evaluated by the experts and most important factors were selected. In the next step, the ranking of the factors by use of absolute numbers scale were done and by means of a step by step model, FBR of three different work systems of the company are computed through using the ANP model. In this research, basic assumption is dependency relation among organizational, personal and job factors. Finally, by computing FBR of three work systems in a production facility in Qom, decisions concerning continuity of operation, corrective actions and stop system were adopted.

Many people working in organizations try to convey their envisioned picture to other people. Many of them adopt some behavior which can be subsumed under impression management.