fuzzy delphi

Cooperative banks, due to their socially oriented nature, play a crucial role in the socio-economic development of local communities, with the expansion of new technologies, making them ideal candidates for the implementation of AI-based social banking. Despite extensive literature on social banking and AI applications separately, there is a significant research gap regarding comprehensive models that specifically integrate AI functionalities with social banking principles in cooperative banking contexts. Furthermore, previous studies have not adequately addressed the specific conditions of developing countries such as Iran, especially considering unique challenges such as international sanctions and local economic constraints. This study adopted a two-stage qualitative approach. First, we systematically reviewed 36 academic articles published between 2014 and 2024 using a meta-synthesis methodology to identify initial dimensions and constructs. Second, we used the Fuzzy Delphi method with 15 banking industry experts to validate and localise the model through three rounds of evaluation, using a 0.7 threshold for final component acceptance. The research results led to the identification of 9 main dimensions and 56 components, with defuzzified values ranging from 0.719 to 0.881. The dimensions include AI technology and infrastructure, social development and community empowerment, financial and economic aspects, management and strategy, legal and regulatory framework, banking products and services, customer centricity, risk and security, and sustainability. Quantitative analysis revealed that components such as localisation of AI technologies (0.754), empowerment of female-headed households (0.769), supply chain financing (0.881), sanctions management (0.787), and alternative foreign exchange services (0.822) received the highest expert consensus, reflecting their critical importance in the Iranian banking context.

Construction projects are frequently associated with a high incidence of cost overruns. To address this issue, the present study adopts a descriptive and survey-based approach to identify and rank the factors that contribute to construction costs. The study's statistical population comprises ten expert specialists, and the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) with Analytical Network Process (ANP) (DANP) technique is utilized to evaluate the research factors. Additionally, the fuzzy DANP and Delphi methods are employed to rank the essential dimensions and criteria of the research. The study's findings reveal that environmental factors are the primary cause of construction cost overruns, followed by managerial factors and legal and administrative factors, respectively. Dynamic conditions often result in unpredictable challenges for environmental factors, making them a critical driver of construction cost overruns. Therefore, environmental factors play a significant role in contributing to construction cost overruns.

Internal marketing has been developed in various forms in all types of organizations. Mainly, internal marketing has been studied as a motivational strategy in service companies. Goods manufacturing industries have not benefited much from the use of internal marketing in strengthening employees' extra-role behaviors. Customer orientation is one of the extra-role behaviors of employees, which in turn is the source of value for internal and external customers. When we follow the internal process segmentation approach, the organization is divided into a set of internal suppliers and internal customers. In this case, it becomes important to study the customer-oriented behavior of employees in the exchanges within the organization. To ensure the implementation of internal marketing in manufacturing organizations, in a way that best meets the needs of these organizations, it was necessary to conduct a study specific to manufacturing industries; a study that included the identification of internal marketing components with a customer-oriented approach. The purpose of the current research was to identify and introduce the dimensions of internal marketing with a customer-oriented approach of employees in manufacturing industries.

This is a sequential mixed research in the inductive paradigm that was conducted in qualitative-quantitative phases. Its purpose is practical and its nature is exploratory. The data collection of the qualitative phase was carried out during semi-structured interviews that continued until theoretical saturation, and finally 15 experts and managers of manufacturing industries and university professors in the field of management participated in it. Qualitative phase analysis was done with them analysis approach using MAXQDA software. In the quantitative part, the fuzzy Delphi questionnaire was used to reach the consensus of the expert group on the dimensions identified in the qualitative phase.

The results indicate the extraction of internal marketing dimensions with a customer-oriented approach in comprehensive themes (individual factors of employees and managers, organizational factors, motivational factors) and in 9 organizational themes, 1- Demographic characteristics 2- Organizational citizenship behavior of employees and managers 3 - Managers' support 4- Internal communication 5- participatory management 6- Promotion of customer-oriented culture 7- Employee job security 8- Job satisfaction 9- Appreciation and 44 basic themes.

Today, due to the lack of a systematic approach to selecting knowledge management (KM) tools and practices, various organizational units face different challenges, resulting in the organization's failure to achieve its goals. This study aims to propose a hybrid multi-attribute decision-making (MADM) and multi-objective decision-making (MODM) model to provide organizational managers with a systematic method for selecting KM tools and practices appropriate to the knowledge issues facing their organization. This study first identified the tools and practices in KM and then modified these tools and practices using the fuzzy Delphi method. After conducting a literature review, the criteria and sub-criteria used to evaluate these tools and practices were identified and weighted according to the Best Worst Method (BWM). A fuzzy TOPSIS method was then used to rank the tools and practices based on the weights derived from the criteria and sub-criteria. An allocation model using bi-objective mathematical programming was developed as a final step to allocate KM tools and practices to organizational knowledge issues. According to the analysis of the criteria and sub-criteria, "stakeholder satisfaction" ranks highest among the main criteria, while "capital costs," "knowledge transfer," and "customers" rank highest among the sub-criteria. Based on the evaluation of KM tools and practices, "social media" ranked first among tools, and "ideation sessions" ranked first among practices. Following the solution of the model, it was determined how each tool and practice should be allocated to knowledge issues. In general, 200 points were generated on the Pareto front as a result of solving the model.

The purpose of this research is the design The Organizational Aesthetics Pattern with Grounded Theory. Current research is exploratory-applied research in terms of purpose, deductive in terms of method, descriptive survey and it is qualitative research. First, 11 experts were interviewed using the theoretical sampling method. Then, the interviews were analyzed by using Grounded Theory, and 189 items were identified as primary concepts from the context of the interview by open coding, and they are categorized as 16 organizer themes, 50 basic themes, and five categories. In the quantitative part of the research, a questionnaire was distributed based on the statistical society of 412 and it was analyzed by data analysis in SPSS software. In the qualitative part of the research, the dimensions of causal condition (2 organizer themes and 8 basic themes), intervening condition (2 organizer themes and 4 basic themes), contextual condition (2 organizer themes and 9 basic themes), strategic condition (3 organizer themes and 9 basic themes) and consequential condition (5 organizer themes and 16 basic themes) were determined and the process of activity and the pattern were created in the following. Also, it can be concluded according to the derived results, the composed model has acceptable reliability and validity and it can be used as a trustful model to design the organizational aesthetics pattern.

Iran automakers have achieved technological capabilities in two ways, Under license, and internal design and development. This research seeks to identify and compare the technological capabilities factors created by these two methods. By the library studies and the opinion of industry experts, 9 factors of the Panda and Ramanathan model were selected. The measurement model was followed by defining 67 sub-factors, which were reduced to 47 by the fuzzy Delphi technique. DANP (DEMATEL+ANP) technique is used to weight the factors and sub-factors. Then, by using the TOPSIS technique and the weights extracted from the DANP step, 6 projects from two groups under license, and internal design and development were ranked and compared according to the level of technological capabilities absorbed. It's found that the SAMAND project (Internal development) has been ranked first in attracting technological capabilities, and both methods are essential in catching up with technology to cover the gap with pioneer car manufacturers.

The issue of integration in different industries is very important and brings many benefits at different economic and social levels. Given the size of the telecommunications industry, this industry is no exception to this rule and the integration of telecommunications infrastructure creates a lot of added value. But the interactions between tangible and intangible indicators have emerged by doing so, which policymakers must consider. Our goal is to study the integration of telecommunications infrastructure and study its interactions on factors identified by experts and then verified. To achieve the correct result, after collecting the opinions of industry experts, using the fuzzy Delphi method and after the steps of this method, the effective factors were examined and the basic indicators that should be considered were identified and ranked. Classified. Then, in order to determine the effect of each of the indicators on the integration of telecommunication technology infrastructure, by combining fuzzy logic and the formation of a neural network through the mathematical method of Enfis, the extent and how the effect of all factors was examined. These results are a new approach in the telecommunications industry and design an innovative model for this industry.

In this article, based on the content analysis technique and using an interview tool, we identified the factors affecting the financial behavior model based on psychological factors with the approach of capital efficiency. The identified agents were screened using the fuzzy Delphi technique. Finally, the relevant structural model was presented. The statistical population includes professors and experts in the field of accounting, of which 12 people were sampled through the snowball technique. To collect data, the field method was used with the help of specialized interviews with experts and the fuzzy Delphi questionnaire. Data were analyzed by theme analysis method using MAXQDA software. Based on the library studies of scientific articles and books and reflection on past research, it seems that two categories of internal and external factors (dimensions) can affect the behavioral process of individual investors in the stock market. Three economic, political, and psychological components in the external dimension and two components of the stock market and company conditions were expressed as factors of the internal dimension. Accordingly, it seems that these are the main influencing factors. Psychological characteristics (optimism, overconfidence, risk aversion, and emotion) were identified in this section. The Personality factor was added to the model based on theoretical foundations and studies. According to modern behavioral finance theories, many behavioral issues are involved in investors' decision-making, the most important of which are psychological and Personality factors. People do not always act rationally and often behave unexpectedly and unpredictably. Personal characteristics play an important role in decision-making.

Fluctuations in asset prices and the resulting uncertainty are one of the most important macroeconomic variables that affect different sectors of the economy in various ways. Therefore, this study is conducted to identify and rank financial market risks in Iran. This study was performed in two parts: qualitative and quantitative. The statistical population in the qualitative section includes the University of Professors in the field of economics in Iran, where 1010 people were selected as a statistical sample by available sampling. The statistical population in the quantitative section were professors and doctoral students in the field of economics. By random sampling method, 3030 people were selected. Data collection tools are the Delphi questionnaire and pairwise comparison questionnaire. Data analysis was performed by fuzzy Delphi and AHP methods. In the results of the qualitative section, 7 components including 44 components for bad economic uncertainty and 33 components for good economic uncertainty were identified. In the results of the quantitative section, stock index uncertainty with a weight of 0.3910.391 and inflation uncertainty with a weight of 0.2760.276 rank first and second in bad economic uncertainty. Also, economic growth uncertainty with a weight of 0.4930.493 and liberalization of financial markets with a weight of 0.3110.311 rank first and second in good economic uncertainty, respectively.

The present study is a quasi-experimental and applied study and has been done through different stages and with a qualitative or judgmental method. The qualitative part of the research includes interviews with experts. The statistical population of the present study consisted of experts familiar with the subject of research (university professors in the field of accounting and finance) and relevant managers and experts of auditing firms and those in charge of affairs in the auditing organization. After counting the comments, the research data were analyzed using the fuzzy Delphi method and fuzzy network analysis. Based on the results obtained from the fuzzy Delphi method, external auditing quality, legal requirements, professional standards, auditors' professional independence, professional ethics standards in auditing, auditing clients, professional staff of auditing firms, competition In the auditing market and finally the general public were the factors affecting the quality of auditing firms. The findings of the study indicated that the standards of professional ethics and legal requirements had the first and second priorities, respectively.