جستجوی مقالات مرتبط با کلیدواژه "روش بهترین- بدترین" در نشریات گروه "مدیریت"

Insurance is a financial service designed to manage risks. Insurance always helps the country's growth by preventing uncertain losses and providing security for economic growth. In developed and civilized societies, the insurance industry is known as one of the main economic institutions and the most important support institution for other economic institutions, organizations, companies and families. In Iran's twenty-year vision document, development is mentioned as one of the most important goals, and the insurance industry, with its support, plays an important and key role in its realization. One of the most important measures that can be taken to identify complications and improve the performance of insurance companies; Continuous performance evaluation of different parts of this industry. Among the various departments of insurance companies, the insurance sales network is in close contact with the customer more than the other departments and generates income for the insurance company by selling insurance products and receiving the relevant premiums. The insurance sales network with its optimal performance can create a great competitive advantage for the insurance company. Among the different parts of the sales network, insurance agencies are of double importance due to their large number and geographical spread throughout the country. Therefore, it is very important to evaluate the performance and rating of insurance agencies in order to know the quality of their performance. Evaluating the performance of insurance agencies leads to continuous improvement of their performance. With the help of performance evaluation results, insurance agencies can increase their efficiency and find better performance, and as a result, their sales increase and customer satisfaction increases. One of the most useful methods in evaluating the performance and rating of the insurance industry is the DEA method. The basic models of DEA, despite having many advantages, also have disadvantages. The main defects of these methods are not paying attention to internal processes, not taking into account expert opinions and not fully ranking the units. The integrated model of two-stage DEA and BWM considers the internal process and experts' opinion in the ranking process, but this model is not always able to completely rank the units. By adding an ideal virtual unit to the integrated model of two-stage DEA and BWM, this research has simultaneously fixed the three aforementioned problems and developed the model. Adding the ideal virtual unit to the integrated model makes the ranking of the units complete and provides better results. In a case study, 36 representatives of selected insurance companies in Yazd province were evaluated and ranked using the developed model. In order to validate the model with the SAW method, the ranking of agencies was also done. The results of the correlation coefficient of the ranking of SAW model with other models presented in this research showed that the ranking results with the integrated two-stage model with the virtual ideal unit have a higher correlation with the SAW model than the other models of this research. The value of this correlation is 94%. In the end, based on the efficiency rating of the first and second stages, management strategies to improve the performance of each of the insurance company's agencies were stated.

In this research, a conceptual model for identifying and prioritizing the factors affecting the success of gas projects in the South Pars field in Iran using a multi-criteria decision-making approach and foundational data theory is presented. For this purpose, first, using the Delphi method, Paying attention to the technical challenges and contractual requirements of the project and ensuring customer satisfaction, Paying attention to the challenges in decision-making in the project closing phase and headquarters challenges, the support of senior managers and management. Release of guarantees, proper management of resources and risk management, correct planning and no change in the organization's strategy and attitude during the closing phase, having a coded operational plan for transfer and operation and updating the organization's current information management system, the desired performance of stakeholders and its effects on the quality of the launch. Then, using the best-worst method, while determining the best and worst criteria, the index of attention to the project completion phase and the consequences of the facility operation period are considered as the best criteria and the index of proper resource management and risk management are considered as the worst criteria. Finally, the importance of the criteria has been calculated. The second variable is the measure of technical challenges and contractual requirements of the project and ensuring customer satisfaction on the success of offshore gas projects is ranked first using the best-worst method with a weight of 0.219.

The purpose  this research is  survey the barriers and problems of using road-rail multimodal transportation in moving cargo and military cargo of a militia and to provide solutions to reduce these barriers and problems.

This current research is from mixed/combined kind using questionnaires. The statistical population of the research includes the senior managers of logistics, support, transportation, and mobility experts of the organization. In this research, firstly, through library studies and interviews with logistics and support experts and university professors, primary criteria and sub-criteria of barriers and problems of using road-rail multimodal transportation were extracted, and research questionnaires were compiled. Then these questionnaires were distributed among research experts. To determine the validity of the questionnaire, Lawshe formula was used, and to check the reliability the questionnaire, Cronbach's alpha coefficient was used. To determine the importance of these criteria and sub-criteria, the best-worst (BWM) method, which is a new approach in multi-criteria decision-making theory, was used.

In order to fulfill the purpose of the research, 41 sub-criteria were identified and categorized in four main criteria including "infrastructural barriers, safety and security actions barriers, managerial and technical barriers and financial barriers". In the first field research, validity and reliability of research criteria and sub-criteria were proved, and the best (most important) and worst (least important) criteria and sub-criteria in the barriers and problems using road-rail multimodal transportation in movement of cargo and military cargoes were calculated. In addition, in the second field research, the importance of these criteria and sub-criteria was determined by the best-worst decision-making method (BWM).

The results of research showed that main criterion "infrastructural obstacles" has the greatest effect on the use of road-rail multimodal transportation for moving cargo and military cargo. Also, the main criteria "management and technical obstacles, safety and security actions barriers and financial obstacles" are the next priorities.

The present study is descriptive in terms of its exploratory-applicative purpose, in terms of the method of data collection. The statistical population of this research was industry experts in Khuzestan province. samples were selected using the purposeful and accessible sampling method. In order to determine the sample size in the qualitative phase of the research, the theoretical saturation of the data and in the quantitative phase of the research was limited to the most referenced answers. In the qualitative phase of the research, a semi-structured interview method was used to collect data. The data of the qualitative phase of the research were analyzed with the help of qualitative content analysis technique. In the quantitative phase of the research, the data collection tool was a researcher-made questionnaire. Data from the quantitative section were analyzed using the best-worst method. We have also used Excel, Spss and Lingo software for data analysis. The findings of the qualitative phase of the research included 4 basic applications for the Internet of Things in the human resource management sector. These applications include: human resource technologies, ease of human resource activities, assistance to human resource actors and human resource development. The findings of the quantitative phase of the research showed that among the identified applications, the criterion of human resources development has the highest relative importance (with a weight of 0.386) and the criterion of ease in human resources activities has the lowest relative importance (with a weight of 0.145) from the point of view Industry experts.

The purpose of this study is to identify and prioritize the dimensions and factors of the National Iranian Gas Company support framework to strengthen the capability of domestic suppliers. The initial version of the dimensions and factors was extracted from the literature review of industrial policy and experiences of supporting domestic manufacturing in oil-rich countries. By field method and with semi-structured interviews with gas industry experts, the extracted dimensions and factors were adapted to the mission and jurisdiction of that company. By forming an expert panel of gas industry and university experts, and using the fuzzy Delphi method, the support framework was finalized in 7 dimensions and 35 factors. The importance-performance matrix was used to prioritize the factors. The importance of the factors was calculated with the questionnaire tool and by employing the Best-Worst multi-criteria decision-making method. The performance of the factors was quantified with a questionnaire and statistical analysis. Finally, 11 factors were identified in the concentrate quadrant and 8 factors in the “keep up the good work” quadrant.

Iran's presence in the Antarctic is important from various scientific, strategic, political, and economic dimensions. However, due to the lack of transparency regarding the benefits of being present in this region, it has not been seriously pursued. Additionally, the potential of the entire Antarctic continent is not currently accessible to Iran, and it is necessary to determine the importance and priority of these advantages for Iran. literature reviews indicate that this subject has received little attention from researchers. This research aims to identify and prioritize the values obtained from Iran's presence and establishing a base in the Antarctic.

The present research is an applied research in terms of its purpose. From the data type and solution method perspective, it is quantitative and falls within the realm of multi-criteria decision-making. To determine the importance of the desired values, the fuzzy best-worst method was employed.

Based on the results obtained from data analysis, non-extractive consumable values, non-extractive consumable values, and extractive consumable values are the most important values derived from Iran's presence in the Antarctic, respectively.

scientific research, satellite monitoring, and increased military presence currently hold the greatest value for Iran. Establishing a permanent base in this region increases Iran's strategic depth, and frequent travel between the Antarctic and Iran's coasts leads to greater Iranian presence in crucial oceans, positively impacting global commodity and energy trade and commercial security. This combination transforms Iran from a regional power into an international power.

The purpose of this study is to provide operational strategies during the Khoy earthquake in the humanitarian supply chain in order to maintain relief and help the victims and meet their needs quickly.The above research method is qualitative.The present research is applied research in terms of purpose and survey-descriptive in terms of nature.The statistical population of this research is the victims and crisis management experts. In this research, firstly, the needs of victims and the strategies to meet these needs were identified by reviewing the literature and conducting semi-structured interviews.Then, the needs of the victims through BMW and humanitarian supply chain strategies through combined approach of QFD and DEA according to Limitations of cost, time, urgency, effectiveness and ease of implementation were prioritized by distributing questionnaires among them.The final findings of the study showed that the strategy of “creating an accident command and crisis management system to plan, coordinate and assign tasks between organizations and institutions involved in the earthquake crisis in order to enable and expedite rescue operations”and“continuous evaluation for continuous improvement in rescue operations and various measures” were the most important strategy, and the need for "relief for the injured" was the most important need for the injured.Therefore, it is recommended to the authorities in the field of crisis management, by setting up the incident command post and the crisis management system, timely response, speeding up rescue operations, preventing parallel actions, creating unity of action and also regular evaluations cause continuous improvement in the process of rescue operations.

Energy is among the most influential components of economic, social, and political development of every country, and influences the political stability of countries alongside its significant role in supplying economic and financial resources. Compilation of energy market strategy considering critical conditions is thus of special significance. Therefore, the present study seeks to identify and prioritize energy market strategies under critical conditions (a case study of gas exportation from Iran to Turkey). For this purpose, a questionnaire was first handed to the statistical population including nine experts in the field of energy. A SWOT matrix was used in data analysis to discover the internal and external factors and the strategic position of energy in the country. BWM was then used to identify and prioritize the indices influencing the exportation of gas from Iran to Turkey considering critical conditions. The selected planning matrix was eventually formed, and the strategies were prioritized based on the total score of each strategy in the respective index. The present study compared 49 strategies derived from 10 indices, the results of which indicated the selection of 29 strategies as the priorities of gas exportation from Iran. Moreover, the five strategies of “investment in the field of energy and strategies to optimize its consumption through the private sector and formation of think tanks”, “prediction of the establishment of regional and international offices to develop gas exportation and enhance economic-political interaction with neighboring countries, especially those owning gas resources in the Caspian Sea based on energy interaction and development with these countries”, “integration of the supply chain and planning in gas extraction to exportation sectors in a complex operating under the National Gas Company to make decisions more agile", and “increasing the country’s gas production capacity and investment to develop oil and gas fields” which were the primary selected strategies can be used as a macro-level decision-making roadmap to establish Iran’s position in the energy market and provide the grounds for its improvement. Energy is among the most influential components of economic, social, and political development of every country, and influences the political stability of countries alongside its significant role in supplying economic and financial resources. Compilation of energy market strategy considering critical conditions is thus of special significance. Therefore, the present study seeks to identify and prioritize energy market strategies under critical conditions (a case study of gas exportation from Iran to Turkey). For this purpose, a questionnaire was first handed to the statistical population including nine experts in the field of energy. A SWOT matrix was used in data analysis to discover the internal and external factors and the strategic position of energy in the country. BWM was then used to identify and prioritize the indices influencing the exportation of gas from Iran to Turkey considering critical conditions. The selected planning matrix was eventually formed, and the strategies were prioritized based on the total score of each strategy in the respective index. The present study compared 49 strategies derived from 10 indices, the results of which indicated the selection of 29 strategies as the priorities of gas exportation from Iran. Moreover, the five strategies of “investment in the field of energy and strategies to optimize its consumption through the private sector and formation of think tanks”, “prediction of the establishment of regional and international offices to develop gas exportation and enhance economic-political interaction with neighboring countries, especially those owning gas resources in the Caspian Sea based on energy interaction and development with these countries”, “integration of the supply chain and planning in gas extraction to exportation sectors in a complex operating under the National Gas Company to make decisions more agile", and “increasing the country’s gas production capacity and investment to develop oil and gas fields” which were the primary selected strategies can be used as a macro-level decision-making roadmap to establish Iran’s position in the energy market and provide the grounds for its improvement.

In recent years, many studies have been conducted about how to select a sustainable supplier so different methods have been proposed for this rigard in fuzzy and deterministic environments. In this article a new model of BWM improved using Rough Sets Theory for Sustainable Supplier Selection (SSS) in the supply chain. One of the advantages of the proposed method is modeling the uncertainty related to personal evaluations and zeroing the subjective judgment error of the decision maker, using the decision table approach. Also, using the concept of conditional entropy in rough sets, the significance of criteria is calculated and the selection of the best and the worst criterion, as well as making pairwise comparisons in the best-worst method, is done respectively. Using this approach, the inconsistency ratio of the best-worst method becomes zero in all stages. Moreover TOPSIS and SAW methods have been used to determine the weight of suppliers and the results have been compared. To illustrate the model and demonstrate its capability, a real SSS case in Iran Khodro Company (IKCO), was examined by three experts in the automotive industry. The results show that the first supplier (ISACO Parts Supply Company) is the best sustainable supplier.

One of the principles and teachings4 of any military-police organization is agility. For their agility, these organizations need an agile logistics and, accordingly, an agile transportation. Therefore, the aim of the current research is to identify and rank the agility criteria of heavy transportation of a military-police organization.

The current research method is of a hybrid type and based on a questionnaire tool. The statistical population of the research includes senior managers of logistics and experts of transportation and movement in the studied military-police organization. In this research, first with library studies, primary criteria and sub-criteria in heavy transport agility of a military-police organization were extracted and research questionnaires were compiled. Then these questionnaires were distributed among research experts. To determine the validity of the research, Lausche's coefficient was used and to check its reliability, Cronbach's alpha coefficient was used. To determine the weight of these criteria and sub-criteria, the best-worst method5 was used, which is a relatively new approach in factor weighting and pairwise comparisons.

In order to fulfill the purpose of the research, 23 sub-criteria were identified in the form of three main criteria including "flexibility and resilience, ability to use facilities and safety and high supply power". With the first questionnaire, the validity and reliability of research criteria and sub-criteria were proven and the best and worst criteria and sub-criteria were calculated. In addition, with the second questionnaire, the weight of these criteria and sub-criteria was determined by the best-worst method.

The main criterion of "flexibility and resilience" has the greatest effect on the agility of heavy transport of the studied military-police organization. Other main criteria, i.e. "facility utilization power" and "safety and high supply capacity" are in the next priorities, respectively.

The influence of climate change on the frequency and severity of natural disasters is ever-increasing on a global scale. While natural disasters are unpredictable, emerging technologies can help with their prevention. Technologies allow responders to act sooner rather than later. The importance of the humanitarian supply chain in reducing the suffering and injuries caused by natural disasters is also undeniable. Developing emerging technologies offers an opportunity to improve the efficiency and effectiveness of responses of the humanitarian supply chain to disasters. Since Iran is one of the most natural catastrophe-prone countries in the world, this study aims to identify and prioritize emerging technologies suitable for its humanitarian supply chain. This study could provide solutions for responders and decision-makers to achieve an effective humanitarian supply chain.

This is descriptive survey research and its statistical population consists of five emerging technology experts in the Iranian humanitarian supply chain. To identify and prioritize applications of emerging technologies in the humanitarian supply chain, the Best-Worst method (BWM) was used.

Reviewing the extant academic literature, 12 emerging technologies in the humanitarian supply chain were investigated. After assessing their content validity, experts selected eight relevant technologies for Iran’s humanitarian supply chain; including “Big Data”, “Internet of Things”, “Augmented Reality”, “Smart Robots”, “Artificial Intelligence”, “Gamification”, “3D Printing”, and “Smart Advisors”. In the next step, two sets of questionnaires were distributed among the experts. The questionnaires were collected and analyzed to measure the attractiveness and capabilities of emerging technologies in Iran’s humanitarian supply chain. The weights of technologies' attractiveness were calculated based on five filled-in questionnaires and by the Best-Worst Method and LINGO software. Next, to assess the technical capability of each emerging technology, eight Likert scale questionnaires were distributed. Finally, the gathered research data was analyzed using SPSS 26. Capability-Attractiveness Matrix was then formed. Analyzing areas of the Matrix helped the researchers determine specific actions suitable for each emerging technology. Based on the findings, “Smart Robots”, “3D Printing” and “Smart Advisors” technologies were placed in the “Position protection/Development” area with the highest capability and attractiveness. “Artificial Intelligence” was placed in the “improvement” area with high attractiveness and relatively low capability. “Internet of Things” and “Gamification” had a high capability andrelatively low attractiveness. “Big Data” and “Augmented Reality” with relatively low capability and attractiveness had the least priority in Iran’s Humanitarian Supply Chain.

The critical role that emerging technologies play in disaster preparedness and recovery is increasingly becoming recognized. The findings of the BWM Method and Capability-Attractiveness Matrix can be a good help for decision-makers and key players in the humanitarian supply chain. Natural disaster preparedness and collaboration to reduce impact across the humanitarian supply chain have never been more important. Utilizing these emerging technologies can minimize fatalities and injuries caused by natural disasters. Emerging technologies need to be adapted to various situations that arise during disaster relief.

The industrial revolution has affected the economy and various industries. Technology is the main factor of the fourth industrial revolution, which has a significant impact on tourism. The development of information technology and intelligence has led to the transformation of the tourism industry and creates a lot of competition and makes many developers of the tourism sector to engage in real innovations to attract tourists. Therefore, to investigate the smart economy in tourism, this study tries to evaluate the indicators of the smart tourism economy in Iran by using a model based on the best-worst multi-criteria decision-making method. For this purpose, first, by studying the research literature and the opinions of experts in the field of tourism, the effective dimensions and indicators of the smart economy in the tourism industry have been determined. According to experts, the best-worst method, increasing attractions and activities is the most important criterion in the economy of smart tourism. In addition, creating new markets for selling domestic products and using information technology are placed in the second and third priorities, respectively. The results of this research show that managers of the tourism industry should focus on increasing attractions, introducing services related to tourism information through smart tools, using online markets or e-commerce and making more use of the information technology platform.

As urban population growth continues and climate change increases, it is predicted that more people will be exposed to climate change events, including floods, in the coming years. Floods are one of the most catastrophic natural disasters that can damage natural infrastructure and ecosystems and affect the lives of millions of people around the world. In this study, to assess the vulnerability of districts 1 in Shiraz to flood risk, a multi-criteria decision-making method based on Geographic Information System (GIS) was used. The criteria used in this study include land use, population density, worn-out texture, slope, waterway network and distance from the bridge Also, the best-worst (WLC) method has been determined to combine the standard maps and produce their initial weight. According to the author, so far no study has used the WLC method to assess urban vulnerability to flood risk. The weight obtained for the criteria shows that the population density factor and the waterway network with 0.453 and 0.041 have the highest and lowest standard weights in preparing a vulnerability map, respectively. The results of the best-worst method with a compatibility rate of 0.07 show that the criteria comparisons are more compatible and stable. In general, the results show that in the northern and northeastern parts of the study area, due to high population density and density of residential tissue, soil permeability levels have decreased and runoff volume has increased. Therefore, in these areas, the potential for flood risk is higher than in other areas.

There are different patterns to measure the performance of competitiveness of tourist destinations. One of the most common is the one provided by World Economic Forum.  Tourism competitiveness index is measured based on four main components and 14 pillars, including Environmental Empowerment (Business Environment, Security and Safety, Health and Hygiene, Human Resources and Labor Market, ICT Readiness,) Policies (Prioritizsation of Travel and Tourism, International Openness, Price Competitiveness and Environmental Sustanability), Infrastructures (Air Transport Infrastructure, Ground an Port Infrastructure and Tourist Service Infrastructure) and Resources (Natural Resources, Cultural Resources and Bussines Travel)The ranking method applying by the World Economic Forum is  just simple averaging indicators  without  any weights, so by weighing the indicators, the pattern  can be improved. The aim of this study was to rerank countries applying multi-criteria decision-making methods where allocating weights to indicators are common. this research is an applied research in terms of objective while because of using a questionnaire for data collection, could be categorized as a survey research. To measure the importance of items, the opinions of eight knowledgeable experts in the field of tourism were gathered via the standard questionnaire and eventually the importance of each items was determined through GAMZ software. Finally, 14 criteria and 87 sub-criteria were ranked. The most important criteria order are tourism, Health and Hygiene, Air Transport Infrastructure, Security and Safety, International Openness, Tourist Service Infrastructure, Environmental Sustainability, Human Resources and Labor Market, ICT Readiness, Business Environment, Price Competitiveness, Natural Resources, Ground and Port Infrastructure and Cultural Resources and Bussines Travel.

Electronic word of mouth is the most important information source in tourists purchase decision.

Therefore, this study was conducted with the aim of exploring and prioritizing the dimensions of electronic word of mouth among coastal tourists. The method of this research is mixed in nature and developmental research in terms of purpose. Therefore, the Meta - Synthesis method has been used to explore the dimensions of ewom and the best-worst method to prioritize these dimensions.

In the qualitative section, the statistical society was 158 documentary articles, which were eventually adjusted to 28 related articles, and in the quantitative section, 10 social media managers from selected coastal tourism centers in north of the country, were selected as experts by using convenience sampling method. Data in the qualitative section, were analyzed using the seven-step method of Sandlowski and Barroso in Meta - Synthesis and in the quantitative section, data were analyzed by the best-worst method (BWM). Dimensions of ewom among coastal tourists were introduced  in 5 categories,10 axial codes and 70 open codes and their prioritization were presented by their importance. The effectiveness of the message was in the first priority, the message platform in the second priority, information exchange in the third priority, communication elements in the fourth priority and the consequences of ewom in the fifth priority.

Company managers need to recognize the characteristics of message receiver and sender and the motivations for their participation in electronic word-of-mouth, and create and expand ewom by creating platforms such as tourism websites, discussion forums and brand communities.

The application of artificial intelligence (AI) in online marketing has created a revolution in this field, which has attracted the attention of many investors and marketing managers in this field. AI marketing uses artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends that may impact marketing efforts. AI is often used in marketing efforts where speed is essential. Since little research has been done on this issue, and the purpose of this research is to identify the applications of artificial intelligence in various aspects of online marketing and prioritize these applications. The present research is thematically one of the first studies that applies artificial intelligence in online marketing. There has been no comprehensive and continuous view of the entire chain of attraction, persuasion, sales, and after-sales services. Thus, this research provides a comprehensive view of its audience by examining all the members of it. This research was been conducted using a mixed method. In the qualitative stage, there were ten semi-structured interviews with experts in online marketing, artificial intelligence, and e-marketing. With the content analysis method, forty applications of artificial intelligence in online marketing were enumerated in four sections. They were categorized based on the marketing mix. The marketing mix refers to the set of actions or tactics that a company uses to promote its brand or product in the market. a typical marketing mix of price, roduct, Promotion, and Place. In the quantitative stage, using a questionnaire and the best-worst analysis method, the applications identified in the qualitative stage have been prioritized using the opinions of industry experts and the students of prominent Iranian universities familiar with artificial intelligence and online marketing. Best Worst Method (BWM) is a multi-criteria decision-making (MCDM) based on a systematic pairwise comparison of the decision criteria used to evaluate a set of alternatives with respect to a set of decision criteria. The salient feature of the BWM is that it uses a structured way to generate pairwise comparisons, which leads to reliable results. Product design and value creation, pricing and cost design, advertising and customer information, and product distribution were identified as four general areas in which 40 applications were classified and prioritized. Finally, nine applications were identified in the field of product design and value creation, nine applications in the field of pricing and cost design, and 16 applications in the field of advertising and customer information. In the field of sales place and product supply method, six applications were identified and ranked. Making advertisements in accordance with the previous behavior of users and customers' feelings in relation to advertisements had the highest priority. Also, the distribution of forces in distribution branches in accordance with the forecast of work pressure in each branch had the lowest priority. This study suggests that, in order to use artificial intelligence in online marketing, various types of artificial intelligence should be applied in the marketing mix matrix. A comprehensive review of the most appropriate solutions for the organization is needed to maximize the effectiveness and efficiency of the solutions in the organization.Considering the prioritization of different parts of the marketing mix, it should be noted that businesses should pay special attention to the use of artificial intelligence applications in online marketing in the field of advertising and customer information. Then, a focus should be placed on product design and value proposition, which leads to market knowledge and user interaction. After these two areas, pricing and cost design have almost the same weight as product design and value proposition, which shows their equal importance in this sector. The developed framework provides a comprehensive view of artificial intelligence in online marketing and helps organizations comprehensively identify solutions and prioritize them. Therefore, using the methods found here can solve a large percentage of marketing problems and guide businesses to achieve their marketing goals.This research can also be used as a tool to comprehensively evaluate the performance of organizations in using artificial intelligence in online marketing. By designing a scoring model based on the weights obtained in this study, it is easy to determine the status of companies in different industries and with different conditions in the use of artificial intelligence in online marketing and in accordance with the priorities. This approach will also help many traditional companies that have some online marketing techniques to design and optimize their marketing system as optimally as possible.

In today's markets that industries have faced different risks and disruptions, selecting the appropriate and resilient supplier has become a strategic factor for the success and sustainability of organizations in a turbulent and competitive business environment and has attracted much attention from researchers and practitioners. The natural stone industry is one of the most important industries in Iran. Hence, this study aims to identify and rank the evaluation criteria of resiliency in a real case study of natural stone industry. Gathering the criteria was done based on the previous related literature and in order to confirm the identified criteria, a survey of 10 stone industry experts was conducted using the fuzzy Delphi method. Consequently, 20 criteria was approved. In order to rank the approved criteria, the best-worst method (BWM) was used. The results showed that flexibility, velocity and financial performance are the most important suppliers' resiliency evaluation criteria in the stone industry, respectively.

The social organizations that have tasks need human resources to achieve the highest level of productivity. In order to playing role human resources in the organization's agility in the Iranian administrative system, it requires to explant a pattern. The purpose of this study is a combination of human resource management activities in the Iranian administrative system with the focus on agile social organization. This research of method is descriptive and survey, and in terms of purpose, it is a development. Data were collected by library and field methods. 9 dimensions of agility, 5 dimensions and 30 components of human resource management were obtained by reviewing the literature and research background and expert opinion. The identified components were screened in three stages using the Delphi technique. Then using the best-worst (BWM) method, the importance factor or weight of the components for agile social organizations was obtained. Finally, by combining dimensions and components, the model of human resource management in agile social organizations in Iran was obtained. The highest degree of importance among human resource management dimensions was "absorption", and also among the components was “Selecting based on meritocracy, meritocracy and centralized selection".

Local content policies in resource-rich countries are a common and consensual approach. However, in reliable scientific sources, the method of formulating and implementing a coherent and effective model for local content policies, by specifying the desired extent and method of intervention of national oil and gas companies, has not been presented. The purpose of this study is to identify the tools and strategies of the National Iranian Gas Company (NIGC) to strengthen the capability of domestic suppliers and prioritize the effectiveness of selected and localized strategies.

For this purpose, first, by reviewing the literature on industrial policy and the experiences of local content policies in oil-rich countries, the tools and strategies were identified. Then, by conducting semi-structured interviews, the cases were adjusted to the company's mission and regulations. Relying on the obtained opinions of experts via adopting the Fuzzy Delphi method, the counted cases were localized. In the end, they were prioritized in terms of importance by employing the Best-Worst multi-criteria decision-making method.

In this study, tools and strategies were coded in eight main axes and 49 tools and strategies. The main areas of importance were reducing the challenges of a macroeconomic and political environment with a weight of 25.9 percent, supporting research and development of technology and innovation with a weight of 13.6 percent, demand and market management with a weight of 12.8 percent, supporting investment in the supply chain Gas industry with a weight of 12.2 percent, coordination and management of external factors with a weight of 11.5 percent, supporting human resource development with a weight of 10.5 percent, creating or strengthening institutions with a weight of 8.1 percent, and finally compensating for information deficiencies 5.5 percent. In this study, the tools and strategies which could be used to reduce macroeconomic and political environmental challenges, with a significant difference, had the highest weight. Regarding the sharp fluctuations in the exchange rate, high financing costs in the country, and restrictions imposed by the country's sanctions seemed reasonable.

Supporting domestic suppliers is a multi-disciplinary issue and requires a coherent and balanced package of tools and solutions. Focusing on one aspect of the issue will not lead to sustainable and reliable results. Solutions such as purchase guarantee, demand management, and reverse engineering have a long history in Iran. In the long run, without additional tools and solutions, such tools lead to backwardness in global technology and reduce the quality and productivity of the domestic gas industry. These strategies, along with supporting the strengthening of technological capabilities, and the strengthening of human resources and other aspects mentioned above, can bring competitive advantage, and pave the way for entering the global value chain for domestic producers. On the other hand, focusing on the technical, engineering, and ingbuild-capacity aspects of this sector will not be effective without considering other aspects necessary for technology development, such as funding, and commercialization requirements.

In this paper, inspired by a real case study, a hierarchical approach is presented for supplier development and supporting its critical decisions in each stage. Supplies needing development and their eligible suppliers for development are first identified using the best-worst multi-criteria decision-making method. The related decision criteria are selected based on the literature review and subjective opinions of procurement experts. Finally, a bi-objective mathematical model is proposed for selecting and allocating candidate development plans to each candidate supplier. The objectives of the proposed model include maximizing the degree of achievement of the development goals of the buyer and maximizing the net present value of the development plans’ portfolio (i.e. the selected development plans for eligible suppliers). The computational results and derived managerial insights demonstrate the effectiveness and applicability of the proposed approach and its ability to support supplier development decisions for the buyer.