جستجوی مقالات مرتبط با کلیدواژه "best-worst method (bwm)" در نشریات گروه "مدیریت"

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.

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.

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.

Performance evaluation is necessary for sustainable and green production of companies such as thermal power plants. Sustainability Balanced Scorecard (SBSC) is a common model in this area. Assumption in SBSC is perspectives/indicators/sub-indicators (elements) weight equality that may be problematic in real-world problems. In this paper, firstly a mathematical model was presented to calculate global weight of elements in hierarchical structure by Best-Worst Method (BWM). Then, four properties of the desirable practical structure of the elements were defined by getting idea from designing hierarchical structure concepts in the Analytic Hierarchy Process. Then, an algorithm was presented to design multi-level structure of problems elements and give weights to them using the proposed giving weight model, four properties of the desirable practical structure, and Consistency Ratio Thresholds. A four-level hierarchical structure including 50 identified performance evaluation elements of SBSC model was presented using the proposed algorithm for giving structure and weight to performance evaluation SBSC elements in Iranian thermal power plants according to green and sustainable production. Finally, by considering the elements used in the resulting structure, a suitable indicators list of Iranian thermal power plants according to green and sustainable production was derived. The findings indicate the suitability of the proposed algorithm.

Given the development of smart retail in the business environment, the acquisition of smart technologies by retailers seems inevitable, and in this regard, the choice of these technologies in the retail industry is influenced by the characteristics of technology and organizational capabilities. This research has been conducted with a mixed exploratory approach to identify intelligent retail technologies as well as the requirements and factors affecting the selection of these technologies in Refah chain stores in Shiraz. In the first part of this study, by a systematic review of the background, intelligent retail technologies and their selection factors were identified, and then, based on the opinion of experts, the technology selection criteria were weighted with the best-worst technique. Finally, the identified technologies are prioritized based on the mentioned criteria and using the TOPSIS technique, and as a result, 26 criteria (in 7 areas) and 23 intelligent technologies were identified. Therefore, the ability to provide information to the customer, the impact on the convenience of customer selection, technology costs, and the IT infrastructure of the stores have been presented as the most important factors in choosing smart technologies. Also, smart display technologies, interactive information terminals, mobile applications, digital signage, and electronic shelf labels were identified as the best options for smartening Refah Chain Stores.

Introduction and purpose of the research:

 One of the main criteria to measure the success of a building project is completing it in accordance with the predicted costs.  In Iran, like many undeveloped and developing countries, the construction cost overruns are among the key issues many sections face. The city of Mashhad, as the second largest city in Iran, in the last two decades, has faced rapid urban growth and an increase in the construction, and ignoring the causes of cost overrun has led to an increase in the price of buildings. This study is aimed at identifying and ranking the factors influencing the cost overrun in construction projects in Mashhad to allow for improving the construction condition and achieve higher economic productivity.

The research has a quantitative approach and an applied objective. The components of the study, i.e., the factors influencing the cost overrun in building projects, were extracted using library studies and reviewing similar studies. Then ranked using the Relative Importance Index (RII) and the Best-Worst Technique (BWM) with the help of Excel, SPSS and Lingo software.

The findings of RII method show that according to consultants and contractors, the three factors of “poor project management, material price fluctuations and inflation” are the main causes of cost overrun in Mashhad. Owners believe that the “lack of contractor experience” factor also has a significant impact. The findings of the BWM method indicate that in addition to poor management, “poor initial planning” and “inflation” are of great importance.

The results show that the factors such as “poor project management, poor initial planning, market inflation, and mistakes during construction” are the main reasons for the cost overrun in the production procedure of building projects in Mashhad.

One of the important decisions in the supply chain is the supplier selection affecting different sectors and objectives of a chain significantly. When it comes to supplier selection, product/technology selection, product/technology transfer method selection, and product/technology supplier selection are three debatable factors. Hence, in this paper, criteria influencing these three indicators will be identified and their importance will be ranked by Gray-DEMETEL and Best-Worst Method (BWM). Then, the priority of the options will be determined using Gray Analytical Network Process (GANP), which is one of the strongest decision-making methods. This paper attempts to demonstrate the superiority of the BWM method in determining the importance of criteria while comparing to previous methods in this group. The compliance rate obtained for the BWM confirms this claim. In order to investigate the proposed approach, a case study was conducted while considering 5 final suppliers, 3 technologies and 5 technology transfer methods, which ended with the selection of the best supplier with the highest technology and capable of transferring the technology by the optimal transfer method.

One of the key decisions in organizations is the selection of suppliers. Typically, a list of identified suppliers is evaluated based on a set of criteria, which indicates a multi-criteria decision-making problem. There are multiple methods and multiple criteria for evaluating suppliers. The nature of such decisions is complex in conditions of uncertainty. The purpose of this study is to provide a method for evaluating suppliers in conditions of uncertainty. In this research, evaluation criteria are extracted from the supplier potential matrix, and after determining the importance of criteria using the Best-Worst Method, the degree of uncertainty is calculated with Gray Relational analysis and finally, Dempster-Shafer method is used to rank suppliers. Research data has been gathered from hardware industry experts, with knowledge and experience in purchasing and procurement. A real case study is presented to illustrate the proposed hybrid approach to supplier selection. In the capability dimension, quality and capacity of the warehouse and in the willingness dimension, willingness to share information and mutual interaction are respectively the best and worst indicators. Also, the ranking of suppliers was conducted in conditions of uncertainty. Research results are important from a few perspectives. First, the criteria presented are public and can be used in different industries and conditions. Second, gray relational analysis is used to calculate uncertainty, which is due to the use of less data.

The present study aimed to identify components of resistance economy index in the resilient supply chain of automotive industry in Iran by fuzzy Delphi technique, weight and prioritize them through the Best-Worst Method (BWM), and assess and rank Iran Khodro, Saipa and Pars Khodro Industrial Groups for their performance of using the resilience in supply chains through MAPPAC and QUALIFLEX techniques, and finally aggregate results by Borda technique. The present statistical sample and population consisted of 10 logistics senior managers in automotive companies. Results of screening strategies by a fuzzy Delphi method indicated that a native model had six dimensions and forty-two indices. According to results of weighting supply chain resilience strategy dimensions by the BWM, the Jahadi management was the most important dimension of the supply chain resilience, and then the merit maturity was put in the second place, and the agility, redundancy, flexibility and risk management culture were ranked third to sixth respectively. Indices of each dimension were also weighted and ranked. The automotive companies were then evaluated by the proposed model and through MAPPAC and QUALIFLEX techniques.The results of the techniquies integration by Borda method showed up, Iran Khodro got the first rank; Saipa got the second rank and Pars Khodro got the third rank in terms of supply chain resilience.

Given the rich database in social media and the need to gain competitive intelligence from such data-driven technologies, the companies are in need of a framework for acquiring Competitive Intelligence 0.2 to as the guidelines. Despite the importance of Competitive Intelligence 0.2 in the literature, most studies have focused on competitive intelligence acquisition tools such as text mining, visualization, emotion analysis, and relationship analysis. However, there is no comprehensive and practical framework that encompasses various aspects of Competitive Intelligence 0.2. Therefore, the purpose of the present study is to design a Competitive Intelligence 2.0 framework that helps organizations sustain and continue to their activities in such a dynamic competitive environment. Due to budget constraints in organizations and the complexity of the dimensions presented in the framework, it is finally attempted to rank and determine the importance of each dimension using multidisciplinary decision making tools in order to determine the priorities in investment.

The present applied study is descriptive in terms of data collection. In order to prioritize the identified categories, dimensions, and sub-categories, the standard BWM questionnaire was designed and distributed among eight marketing and social media executives and experts who had practical experience in the field. Accordingly, the researchers will identify the priorities and weights of the categories, dimensions and subcategories.

The proposed framework consists of three components of process, content and context, which is more comprehensive than the other frameworks presented before. Despite the many differences from traditional competitive intelligence, Competitive Intelligence 0.2 also requires contextual factors such as the need for infrastructure, organizational culture, organizational readiness, and business processes. Besides, sub-indicators of "the distributed computations across the organization" from the technology dimension and "exploiting the potential of social networks to attract joint venture" were eliminated from the socio-strategic deminsion of the framework.

In this study, competitor intelligence factor 0.2 was the most important factor in the content of competitive intelligence 0.2. Given this, in order to improve the status of the company regarding this dimension, it is recommended that the companies take measures such as identifying the strengths and weaknesses of competitors using customer-contextual comparative commentary, raising awaness of the competitors' advertisments and product services by analyzing the competitor website, identifying the rivals’ new products through competitor website analysis and etc. "extracting concepts and patterns" is the most weighed factor of "Competitive Intelligence", so the companies need to have up-to-date tools and techniques to discover practical knowledge, concepts, and patterns hidden in massive volumes of data within social networks to proactively identify opportunities and threats in the competitive environment. On the other hand, the "technology" dimension is the most weighted among the other components of the "Competitive Intelligence Background 0.2". Technological infrastructures such as supplying suitable hardware and software to launch systems, having teams of experts in technology, securing accounts, secrets and company information, and improving the compatibility of new technology with the organization's former technology are necessary in the application of new technologies in organizations. This may be the reason for the importance of this index in the present study.

Many academic researches concerning “Talent Management” have been done during the last decade. Recruitment and retention of scientific and academic talent personnel are specially so crucial for the universities and the other educational institutes. This article attempts to identify and to rank the factors affecting the recruitment and retention of scientific forces for the universities. Starting with the study of Verhaegen (2005) related to the identification of factors affecting the recruitment and retention of scientific human resources, the researchers struggled, at the first time, to sort and to fit these impact factors of recruitment and retention of talent people to the Iranian universities. Then the researchers tried to rank these factors using the BWM template. The above-mentioned factors have been compared with each other by the experts, once for the recruitment of scientific applicants and once for the retention of academic H.R. The results show that, concerning the recruitment and retention of scientific talent H.R., special attention should be paid to the brand of university and its popularity on the other hand, concerning the retention of academic forces, special attention should be paid to the educational atmosphere of university and it's cultural and value systems.

At the present time, firms especially banks and finance and credit institutions to compete in the business world are seeking for maximal customer covering, reducing costs and increasing profit and efficiency. For this purpose, they are looking for determining and choosing the best location to start economic activity with scientific methods. This study aimed to locate Mehr Eghtesad bank branches in the region 1 in Tehran city, using geographic information system and the weighted maximal covering model. First, through reviewing the literature and interviews with experts the criteria and sub-criteria affecting the location of bank branches were identified. After that, two questionnaires were prepared and distributed between the bank's Managers then the weights of criteria and sub-criteria were determined based on the Best-Worst Method. Geographic Information System was used to determine potential points that are inputs of the weighted maximal covering model. In the end, the weighted maximal covering model was solved in MATLAB and the best locations for opening the new branches were identified.