topsis

This research ranks the most important performance value chain issues of knowledge-based companies based in the Science and Technology Park of Semnan University using TOPSIS approach. The studied period from December 2023 to July 2024 was collected in this research through structured interviews with experts, designed questionnaires and 121 questionnaires. To rank the problems of knowledge-based companies, TOPSIS approach has been used. The most important issues of knowledge-based companies are ranks (1) to (3) in the field of commercialization of products and services. Rank (4), constant change of tax laws, (5) lack of investors for organizational development and recruitment, (6) failure to meet the demands of managers and employees of knowledge-based companies, and (7) lack of familiarity with tax laws and other laws related to the company's field of activity. The cooperation of entrepreneurs and managers of knowledge-based companies with the officials of science and technology parks can solve the problems found. Commercialization, financial and tax support, facilitating the fields of activity and holding necessary training for these companies can overcome these problems.

The slow integration of digital technology in this sector can be attributed to the standardized and complex nature of healthcare. This technology spans various domains, including patient data management, health information exchange, health value chain management. However, there has been limited research focused on evaluating the adoption of digital technology and assisting healthcare organizations in its implementation. This study aims to identify and develop a scoring model to assess the readiness of healthcare organizations for adopting digital technology in health value chain management. Initially, this research identifies the factors influencing the adoption of digital technology within the healthcare value chain through a thorough literature review. Given the decision-makers' partial knowledge and the complexity of the issues involved, we evaluate these factors using linguistic terms rather than precise numerical values. In the subsequent phase, we prioritize the identified factors within the Semnan healthcare system using the Neutrosophic TOPSIS method. The findings indicate that data and information security ranks as the highest priority with a score of 0.7128, followed closely by cost and financial resources (0.6685) and infrastructure (0.6399). Conversely, sustainable development, organizational ownership, and size are ranked as the lowest priorities, with scores of 0.4626, 0.4480, and 0.4142, respectively, in the context of adopting digital technology in the healthcare value chain.

Today, due to the increase in complexities and uncertainties faced by manufacturing organizations, the production of products faces planned/unplanned events that happen during the production life cycle. Meanwhile, some factors can have a significant impact on the success or failure of the organization, and the most effective of such factors is the occurrence of delays and disruptions in the production and delivery schedule. Some of these factors are caused by the nature of the industry, which is difficult to reduce/eliminate. The effect of many other factors can be reduced and sometimes eliminated. Most of the manufacturing-related literature focuses on providing solutions to the issues that lead to delays. The neglected point in the literature is to identify the underlying factors that lead to delays in the production schedule and delivery of products and to provide a comprehensive framework for identifying delays in production environments. This study aims to reduce delays and optimize production time by identifying and ranking the possible factors causing delays in production organizations based on the review of the literature related to production and empirical research.

Design/methodology/approach

: This research includes a combination of quantitative and qualitative methods to provide a more detailed analysis of the dimensions related to the problem. First, four types of production systems, i.e., engineering to order, manufacturing to order, assembly to order and production to warehouse have been described, and then these production environments have been compared with different aspects. In the following, by reviewing previous research and benefiting from experts, factors affecting delays in production projects have been identified and localized, and the weight of each criterion has been determined using Shannon's entropy method. Finally, by applying this model in the manufacturing industries of Iran and using the TOPSIS technique, the causes of delay have been ranked.

Due to their nature, production systems are exposed to risks caused by various delay factors. The results indicated that engineering based on order, manufacturing based on order, assembly based on order, and production for warehouse are exposed to more risks, respectively. The most important causes of delay in each production system were among the other results. Based on the findings, it seems that manufacturing organizations, knowing the nature of the system, rank their system in terms of delays, and prevent unfortunate events in this field by careful planning.

Research limitations/implications:

 The extent of industries and manufacturing companies in identifying comprehensive criteria contributed to the study. However, from the point of view of specialization of the results, every industry must obtain relevant results by implementing the proposed approach according to the type of its production system. Therefore, more context-specific research is needed to examine the unique aspects of organizational cultures that include social, political, economic, technological, personnel, and personal considerations. Therefore, future studies should provide the analysis and findings in each case because each one will bring distinctive and unique findings in its case.

Practical implications:

 Accurate identification of the production system used in manufacturing industries and the main causes of delay can provide managers with a more effective view to prevent destructive consequences.

Originality/value:

 This study investigated the causes of delays in various production projects in Iranian manufacturing organizations. No research has been performed on investigating the reasons for delays in various types of production environments in the manufacturing organizations in Iran, as a developing country exhibiting differences in the aspects of cultures, social, political, economic, technological, personnel and personal.

In today’s business world, companies are not only striving to compete for market share of products and services, but also making significant efforts to create alignment of customer perceptions with their own. With increased customer loyalty, market share and profitability of economic entities grow. Brand loyalty can be fostered through a set of behaviors referred to as customer engagement. Successful corporate brands are built by companies that establish valuable positive communications with their customers, hence this research aims to design a model for the effectiveness of brand on consumer loyalty.
This research adopts a mixed-method exploratory approach. In the qualitative phase, phenomenological hermeneutics was used to reveal participants’ lived experiences. The data consisted of 20 interviews with purposively selected experts. In the qualitative analysis, coding techniques such as open, axial, and selective coding were employed within a grounded theory framework. Following this, the TOPSIS technique was utilized to prioritize the factors influencing brand effectiveness on consumer loyalty.
After conducting the interviews and analyzing them, the interview transcripts were systematically examined to identify the main factors. In the first step, statements, dimensions, and characteristics were extracted from the interview transcripts (common codes). In the next stage, the data were analyzed at the level of sentences and phrases to uncover concepts. In the third stage, the final themes resulting from the categorization of common concepts were extracted. Coding was done directly from the participants’ interview transcripts, and data analysis was conducted meticulously to achieve logical saturation.
Based on the results obtained in response to the first question regarding the indicators of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 12 main indicators were identified. In response to the second question regarding the components of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 27 main components were identified. In response to the third question regarding the dimensions of the brand effectiveness pattern on consumer loyalty in selected grocery stores in Khuzestan province, 71 dimensions were identified. The research results indicate that trust, brand image, brand credibility, brand knowledge, brand value, brand responsibility, brand awareness, brand rewards, innovation, and marketing ultimately influence customer loyalty and satisfaction.

The growth of urbanization and population increase in Mashhad city during several years and the existence of environmental pollution in this city require green spaces, especially parks, and its expansion as one of the most important factors in improving the life and health of citizens. For this reason, urban parks are one of the facilities whose distribution and dispersion in the city level is of great importance. In this article, we examine the distribution of parks in 13 districts of Mashhad, suggesting the lack of such a space in some districts and its excess in others. As such, the distribution coefficient of parks among the districts of Mashhad is 0.89, which indicates that the distribution of parks in Mashhad is unfair. The purpose of this article is to provide a suitable model for the optimal distribution of parks in each of the city's districts according to components such as population, population growth rate, park development rate, parks per capita and the ratio of park area to the district area. The research method is descriptive-analytical and data collection is based on library studies. In this research, the correlation of variables was investigated and by using the TOPSIS technique, each of the city's districts was analyzed and prioritized for the development of parks based on the mentioned components. The results show that the area of the district has the highest correlation with the park development rate and the population growth rate. The results of the TOPSIS test showed that district two has the first rank in the development of parks.

Alternative dispute resolution also known as ADR is one of the ways to improve the processing of claims, which has been developed as an alternative to judicial proceedings. These methods have been developed to restore and complete development indicators in the judicial system, including increasing public participation, rehabilitation, and improving social relations. However, the implementation of alternative methods of dispute resolution is not free of problems, so in this study, the literature review was used to review and categorize the obstacles and challenges associated with the implementation of alternative methods of dispute resolution. Then, the discovered obstacles and challenges are prioritized and based on the importance and urgency of dealing with these obstacles and challenges, solutions for their elimination are presented. According to the literature review, 15 themes of challenges and obstacles were identified, and categorized into two general categories: user-side problems and system-side problems. As a result of categorizing existing challenges using the TOPSIS method and considering three types of undesirable consequences, including mistrust in dispute resolution methods, the waste of time associated with using dispute resolution methods, and financial loss associated with using dispute resolution methods, Dispute Resolutions were prioritized. The data needed to prioritize these challenges were collected using the questionnaire method. After prioritizing the challenges, it was found that the lack of acceptance of alternative dispute resolution methods and the unwillingness of the parties to the lawsuit to cooperate are among the most important challenges of implementing alternative dispute resolution methods. Finally, after prioritizing the problems, solutions to resolve the problems were presented using the opinions of experts. Accordingly, it was determined that the formulation of policies and general principles of the dispute resolution system by considering the rights of different stakeholders could lead to the improvement of acceptance of alternative methods of dispute resolution.

In today's competitive arena, all organizations need an effective performance evaluation system, so as to be able to measure the efficiency and effectiveness of the organization, human resources and processes. On the other hand, Chipboard has many applications in the construction industry, including cabinets, bedding and furniture, wooden doors except to anti-theft doors. In this industry, wood waste is used, which can be very useful and constructive for the country's economy. Therefore, improving the performance of this industry is very important both in terms of improving the economy of country and in terms of the companies included in this industry

 In this article, using the balanced scorecard approach, indicators in four perspectives (growth and learning, customer, internal and financial processes) were compiled and using a questionnaire and non-parametric Wilcoxon test with a marked rank, 27 indicators were approved out of 46 indicators. Then, the TOPSIS method was used to rank the approved indicators

According to the research findings, the perspective of internal processes in chipboard industry is more important. Among the sub-criteria, the criteria of timely delivery of goods, compliance of employees' performance with regulations and instructions, service to the company's neighboring stakeholders and the level of employee satisfaction are very important in the performance of the chipboard industry.

This paper aims to identify the optimal locations for new fire stations in Isfahan city using multiple criteria decision-making (MCDM) methods and geographic information system (GIS) data. AHP, fuzzy AHP, and TOPSIS methods are used to identify potential locations for new fire stations based on decision criteria such as population density, proximity to main roads, distance from existing fire stations, density of hazardous materials, radius of the fire brigade, traffic network, land use, age of buildings, and potential for danger. The candidate locations for new fire stations are ranked according to these criteria, and the results are validated by the Statistics and Strategic Planning Unit of the Isfahan Central Fire Department. The fuzzy AHP results indicate that districts 8, 9, and 4 have the highest priority for new fire stations, respectively. Sensitivity analysis of the criteria weights reveals that district 8 has the highest priority, while districts 12 and 15 have the lowest. This study also provides managerial insights, including the need to modify municipal building regulations and relocate dangerous sites to improve fire safety in Isfahan city. The proposed approach provides a useful tool for decision-makers to identify optimal locations for new fire stations and improve fire safety in urban areas.

Part of the success in implementing policies goes back to the capacity to implement the policy because capacity is the ability to do so.

In this research, the factors leading to the improvement of the capacity to implement policies and the cause and effect relationship between them have been identified.

This research is applied and the research population is15 HSE policy experts in Kerman who have been selected through non-random and purposeful sampling. Data collection tools were interviews and questionnaires and FMEA and fuzzy dimmetel techniques were used to analyze the data.

The index of organizational support in formulating and implementing HSE policies has the highest and the index of creating organizational structure integration in relation to HSE has the least impact on other indicators to improve the capacity to implement these policies.

Efforts to improve the capacity to implement HSE policies should be accompanied by more investment to improve the quality of the organization's support index in the development and implementation of HSE policies to strengthen other indicators. Focusing on the continued presence of effective HSE experts in the organization and creating management stability can enhance the capacity to implement HSE policies

To increase environmental awareness among consumers, prompting them to pay more attention to green businesses. The main purpose of this research was to identify and rank the factors affecting consumer support for green businesses in Arvand Free Zone using exploratory factor analysis and TOPSIS technique. This research is descriptive and applied in terms of purpose. The study population was home business consumers in Arvand Free Zone. The sample size was 385 people based on Cochran's formula who selected using convenience sampling method.The findings of the research show that the business philanthropy, valuing nature for the business, ethics in business, the perceived quality of the product as factors exerting impacts on consumer support for green businesses in Arvand Free Zone.The results of the ranking of the options with the TOPSIS technique indicate that the option of benefits provided by green business products has a higher priority compared to other options. In the same way, the ranking of other criteria has also been determined.

Creating a brand and personal branding is considered as a strategic management tool and one of the areas of growth for businesses and managers of commercial companies. Therefore, firstly, in this research, it was tried to identify the factors that can play a role in the personal branding of business company managers, secondly, by prioritizing these factors and the indicators obtained, the degree of importance of each factor is determined. The current research is applied in terms of its purpose and in terms of approach is a hybrid type of research; So that the final database includes both qualitative and quantitative information. Therefore, the effective factors on personal branding were determined through interviews with commercial company managers, social network users and academic elites, and then these factors, in the second stage and using the results of the first stage, in the form of a questionnaire A researcher-made questionnaire was prepared and provided to the mentioned people and the results obtained at this stage were prioritized and the degree of importance of each of the extracted factors and indicators using the chain analysis method Analytical Hierarchy Process (AHP) were determined. Using the opinions of experts and professors, its internal validity has been confirmed and the reliability of the Cronbach's alpha coefficient of the questionnaire was calculated above 0.94, which is acceptable. Findings showed that the factors affecting the personal branding of commercial company managers in social networks include: organizational performance, knowledge, skill and managerial intelligence, extra-organizational communication, demographic characteristics, having a personal perspective, personality traits, leadership skills, social network skills, social- cultural factors, attention to the audience and paying attention to the content, among which having a personal perspective has the most influence and demographic characteristics has the least influence.

This study aims to determine the optimal location of new chain stores based on geomarketing (location-based marketing) with a combined approach of TOPSIS and GIS. The statistical population included experts and customers of the retail industry (Janbo, Ofogh Kourosh, Haft, Refah, Shahrvand and Etka stores) in Tehran. In the expert section, using cluster sampling method from each cluster, 2 to 3 stores in the north, east, west, center and south were chosen and then 14 experts were selected from the clusters. In the customer section, 384 people who visited the chain stores were selected using the available non-random sampling method and questionnaires were distributed among them. Then, in the quantitative phase, the Analytic Hierarchy Process (AHP) was applied for ranking in the expert section. Also, in the customer section, the Friedman ranking test with SPSS software was used. After collecting the required data and performing spatial analysis, maps related to the components and location indicators were generated using ArcMap software. In the following, a case study consisting of 3 proposed places in the 18th district of Tehran city was investigated for the establishment of a new store. Finally, the proposed stores were ranked using the TOPSIS method based on the decision matrix extracted from the opinions of experts, customers and GIS based maps. However, according to the case study conducted from the experts and customers’ point of view, it was determined that the location number 2 located in Rajaee Street in Tehran is suitable for opening a new store.

The purpose of this study is to identify and rank security indicators in online social networks. Social networks such as Facebook, Twitter, Telegram, WhatsApp, YouTube, and Instagram.

The information technology units of Melli Bank have been studied and 30 people have been considered as research experts. For this purpose, seven important indicators were identified and TOPSIS technique was used to prioritize the indicators. Then, using Spearman correlation test, the relationship between the identified indicators and online social network security was investigated. For this purpose, a questionnaire with 24 items was distributed and 262 samples were collected and analyzed.

The results show that security indicators in online social networks in order of priority are: implementation of authentication and licensing mechanisms, use of up-to-date software and avoidance of suspicious programs, restriction of personal information dissemination, monitoring to prevent unauthorized processing of information, compliance with standards the country's IT infrastructure, and the installation of an intruder detection system. Also, based on the results of Spearman correlation test, all factors have had a positive and significant effect on social network security.

Originality/Value: 

In this study, we concluded that there is a significant relationship between the effective factors and the security of social networks on the line defined for these networks. In fact, the development of information and communication technology infrastructures and the increase in the number of users using virtual social networks, justifies the need to create and develop a mechanism for establishing security in these communication networks.

This paper studies the flexible job shop scheduling problem with parallel machines by considering cleaner production criteria, dual human-machine resources, job release date, and machine speed-dependent processing time. The objective functions of this problem include minimizing the sum of earliness and tardiness and the speed increasing. Here it is assumed that the speed of the machines can be increased to reduce the completion time while the increasing the speed leads to increasing the noise pollution in the production environment, and due to the cleaner production approach which is a preventive approach, an attempt has been made to reduce the amount of noise pollution by minimizing the speed increasing. In this regard, first, a mixed integer-programming model was developed, and since the model is bi-objective and NP-hard, a NRGA is proposed and the obtained results are compared with the NSGAII considering some multi-objectives criteria. The results show that the proposed algorithm considering the MID criterion in instances with 10 and 25 jobs and considering the RAS criterion in instances with 25 and 100 jobs have better performance compare to the NSGAII. Furthermore, the TOPSIS method is also used for analysis and the results show the efficiency of the proposed algorithm.

The problem of selecting the suppliers along with their Economic Order Quantity (EOQ) has always been an important issue in the Newsvendor model. Multiple qualitative and quantitative criteria are needed to be regarded for making a better supplier selection while performing trade-offs among them. An approach that can take all criteria into account in the selection of suppliers has not been developed yet in the Newsvendor model. Multiple criteria decision-making (MCDM) can be leveraged to make trade-offs among multiple criteria.

This study sought to develop a solution to the Newsvendor problem, accounting for the most significant criteria in supplier selection and product reliability so that the total cost of the chain would be minimized in a multi-product and multi-period model with multiple suppliers. This approach adopted the Bayesian Best Worst Method (BWM), which is one of the MCDM methods, to rank the criteria and also implemented the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritize the suppliers. Then, the suppliers' weights were used as the proposed model inputs. The results obtained from Bayesian BWM validated the effectiveness of the presented approach. The objective function was set in a way that a retailer's profit and weight value of products considering the ranking of suppliers were maximized. The goal was to find optimal order quantity allocating to suppliers. To convert the multi-objective model to a single-objective, the Lp-metric method was used.

To evaluate the derived model, a case study with real data in the electronic supply chain was investigated. The developed model for the Newsvendor problem could find the best suppliers by considering a combination of qualitative and quantitative criteria in selecting them. In this research, the real-world case study was considered in the electronics industry, which allowed the researchers to make a better evaluation of the model.

The obtained results indicated that the retailer uses a combination of suppliers in each period for optimal order allocation to profit-maximizing considering product's reliability and the weight value of products.

The main purpose of this study is to identify traditional, green and resilience evaluation criteria in the performance of green and resilient suppliers and rank them with the path analysis approach, SWARA and TOPSIS in Fanavaran Petrochemical Company. The research method is applied in terms of purpose and descriptive-survey in terms of data collection. The statistical population is 55 experts that due to their limitations, the opinions of all members of the society were studied in the first stage with path analysis. In the second stage, 30 experts were selected as a statistical sample for ranking criteria and in the third stage, 10 supply managers were selected to supplier ratings. Among the traditional criteria, the sub-criterion "quality" in the first rank and the sub-criterion "trading volume" in the last rank; Among the green criteria, "observance of necessary standards" as the most important sub-criterion and "observance of environmental issues" in the last rank; Among the resilience criteria, "agility" was in the first place and "complexity" in the last place. In the final evaluation of the main criteria, the criterion of "resilience" came in the first rank, the criterion of "green" in the second rank and the criterion of "traditional" in last.

Human resources are considered a competitive advantage in organizations, and according to the executive position of staff, the relative importance of the competitive advantage is enhanced so that the executive managers, and the senior staffs particularly in the production line, are of particular importance to company owners. Selecting competent and committed senior staff as well as maintaining them based on their satisfaction is one of the key factors in the success of organizations. Therefore, this paper aims to study the selection and assignment of senior staff problems so that they are selected based on their competency to manage the production workshops, and then they are assigned to the workshops based on their preferences. For this purpose, an integrated model of mathematical programming and Multi-Attribute Decision-Making (MCDM) is developed to select competent senior staff and assign them to the workshops based on their preferences.

In this paper, some of the staff as potential options have been determined, and then, their preferences to manage all workshops have been calculated using the TOPSIS technique. Also, a multi-objective integer programming model has been developed to select competent senior staff among all potential options and to assign them to the workshops based on their preferences. In this paper, a multi-objective global criteria method has been proposed as an approach to solving the selection and assignment problem.

The required data were collected through questionnaires and interviews with potential options. Consequently, the results indicated that the proposed method (weighted global criteria) outperforms the simple global criteria approach as well as the traditional method based on the decision of the managers and experts.

Research limitations/implications:

 The results were limited to the case of production workshops in an appliances plant, and all data were deterministic. Respectively, some directions as opportunities for future research were suggested. The first suggestion is to apply the current model in other production systems, and the second suggestion is to use fuzzy logic for developing both the fuzzy TOPSIS and fuzzy mathematical programming model based on the expert’s knowledge.

Practical implications: 

Since the non-optimal assignment of the staff to the workplaces increases the costs, and assigning them disregarding their preferences leads to staff dissatisfaction, the production system would be affected. Therefore, the lifecycle of the organization can be threatened. Therefore, the optimal staff assignment problem can be one of the most critical management challenges in industries.

Originality/value: 

To the best of our knowledge, there is no research in the literature on the staff assignment problem that considers preferences and competencies simultaneously as studied in this paper. Therefore, the following contributions to the literature are underlined: - - Selecting and assigning senior staff to production workshops, considering a multi-objective problem - - Collecting the evaluation criteria of preferences for the problem from the literature to determine final preferences for selecting the workshop - Integrating the integer programming (IP) model and TOPSIS to extend the new model of staff assignment problem