mahmonir bayanati

the purpose of this research is to identify and rank the key factors of successful e-commerce airport services in non-aviation revenues in Iranian airports.

in terms of approach, qualitative, in terms of purpose, developmental-applied, in terms of descriptive implementation method and mathematical modeling, and the nature of the data is mixed. In this research, a structured interview was used and the statistical population of this research is the elites of Iran's aviation industry. The sampling method is non-random and purposeful, and 25 people were selected as experts from the selected statistical population for the panel members. In order to identify the main components, MAXQUDA qualitative analysis software was used, then the identified components were ranked using Vicor method.

the research findings show that in the qualitative method, five main components of e-services, manpower, quality of airport services, organization management and non-aviation revenues were identified as the key success factors of e-commerce of airport services in non-aviation revenues in Iranian airports and ranked According to the Vicor method, economic services, application features, customer relationship management, process optimization, and human resources planning were selected as the most favorable final options.

according to the results of this research, the use of e-commerce in airport services due to increasing market share, providing unlimited goods and services, eliminating intermediaries and eliminating human resources and physical elements, optimizing processes, managing customer relations and increasing Passenger satisfaction increases non-aviation revenues.

Blockchain, as a secure and transparent technology, has gained significant importance in the supply chain industry in recent years. With increasing production and customer demand, creating a sustainable supply chain system using blockchain is of great importance. This research was conducted with the aim of identifying and prioritizing the success factors for implementing blockchain in sustainable supply chain in the packaging industry in Khuzestan.

In this study, the opinions of 10 experts in the packaging industry in Khuzestan who were aware of the research issues were used to perform the necessary validity for the research variables and also the best-worst method was used. In addition, in the model presentation section and in relation to exploratory and confirmatory factor analysis, 201 personnel from Khuzestan packaging industry (Ahvaz carton) answered the questions by simple random sampling method.

Among the main criteria, the "internal organizational performance" criterion with a weight of 0.456 was placed in the first priority. Furthermore, the results of the final prioritization showed that cost reduction was in the first priority, financial issues were in the second priority, and quick identification of products was in the third priority among the sub-criteria set.

In this research, the successful factors for implementing blockchain in sustainable supply chain were identified and prioritized. Considering the importance of blockchain in sustainable supply chain industry, identifying and prioritizing success factors can help companies and business owners in targeting and strategizing for blockchain implementation.

The current research is a descriptive survey in terms of its purpose in the field of applied research and based on its nature and method. In this research, Delphi, Fuzzy Dimetal, and Fuzzy Network Analysis methods have been used. The results of this research showed that the most important indicators of selecting an innovative supplier from the perspective of cooperation are: the supplier's ability, supplier's willingness, and supply risk. In the first step, the fuzzy Dimetal technique was used to reflect the mutual relationships between the criteria. In this way, at first, the matrix of the direct relationship of indicators was formed. According to the results, the willingness of the supplier has the most influence and has the most interaction with other criteria. In the next step, the main criteria of the research were prioritized, and it was found that the ability of the supplier and the willingness of the supplier and the supply risk are the first to third priority respectively. Finally, based on the calculations and the limit supermatrix, it was determined that the geographic proximity index is the priority. The ability of the supplier with a normal weight of 0.366 has the highest priority, the willingness of the supplier with a normal weight of 0.365 is the second priority, and the supply risk with a normal weight of 0.269 has the lowest priority. Finally, based on the calculations and the limit supermatrix, it was determined that "geographical proximity" with a weight of 0.1739 is the priority. "Organizational closeness" with a weight of 0.0936 is the second priority. "Commitment to continuous improvement in product and process" with a weight of 0.0833 is the third most important index.

Multi-Attribute Decision Making (MADM) process is the most well-known branch of decision making and it is one of the most important tasks that have received a lot of attention in many areas. In solving MADM issues, the parameters of decision-making are often faced with problems, such as imprecise, vague, uncertain, or incomplete information which lead to inaccurate decision-making. To cope with these problems, the researchers apply fuzzy set theory as the best-developed approach. Among different fuzzy methods, the fuzzy rule-based system (FRBS) due to its flexibility, simplicity, and experts' knowledge modeling is an adequate technique for solving MADM problems. The main objective of this study is to apply experts' opinions by Z-numbers in MADM issues to enhance the accuracy of the decision-making process. The fundamental issue in solving MADM problems is that inadequate information in the experts' opinions leads to some degree of uncertainty in decisions. Indeed, in FRBS research to ranking, the reliability level (Z-numbers) in experts' opinions within the decision-making process has not been taken into account. Whereas, the Z-numbers play a key role in the decision-making process to reach more precise decisions affecting the final ranking results. In the proposed approach (Z-FRBS), by considering experts' opinions in the form of Z-numbers to deal with inadequate information and modeling experts' knowledge through FRBS, the process of making a decision is performed without using conventional techniques which resulted in a more accurate solving MADM problems. The effectiveness and validity of the proposed method was approved with an illustrative example, sensitivity analysis, and comparison with three other validated method.

Lesson research is a collaborative research of teachers in the school and classroom. where Based on this, the main goal of the current research is to design and present a study management model in secondary schools.
This mixed exploratory research was conducted with two types of qualitative and quantitative approaches. In the qualitative section, semi-structured interviews were conducted with 12 experts in the field of educational management. Then, using the qualitative data analysis of the foundation, a number of concepts were extracted and index coding was carried out.
The paradigms resulting from the qualitative data analysis of the foundation are: indicators of the category of causal conditions, including social learning, improving relationships between people, mastering psychosocial functioning, recognizing social values, and strengthening individual and interpersonal skills. The indicators of the central phenomenon category include respect and mutual trust, independence and cooperation among members, exchange and transfer of knowledge, enthusiasm and inspiration, use of diverse evaluation values, respect for mutual rights, respect for teachers, and commitment and recognition of rights. The indicators of the contextual category include the indicators of encouraging and persuading innovation, trying to improve skills, improving teachers' responsibility, realistic education, exploratory education, problem-solving education, and critical thinking education. The indicators of the interfering category include the lack of appropriate educational infrastructure, time limit, non-compliance of standards with the new teacher-apprentice approach, and lack of incentives or organizational support. Indicators of the category of strategies and actions include empowering teachers, paying attention to educational rules, educational equipment, evaluating and measuring student abilities, teachers' scientific mastery and literacy on course materials, having appropriate, practical and up-to-date general information, organizing materials, focusing education on expression. Knowledge and information, establishing communication and two-way interaction, complying with educational standards and updating them, using demonstration teaching methods and personal and social development in learners. The indicators of the consequence’s category include the training of expert, skilled and professional forces, strengthening the spirit of entrepreneurship, making the learning process enjoyable, increasing efficiency and social development, and reducing costs.
teachers, using the qualitative circles of research, teaching and learning, try to help teachers in the process of questioning, planning, action, active observation, it gathers feedback, rethinking, and learning, and encourages the exchange of opinions, experience, practical work, and learning from each other.

In today's world, due to the competitive nature of the market and the lack of certainty in the amount of order and also the time of ordering products, it has led to the effective response of sales centers to customers is not done properly. This is due to the lack of proper location of distribution and sales centers and optimal allocation of customers to each center. Therefore, considering the importance of locating distribution centers, in this article, the issue of locating distribution centers of e-shops in conditions of uncertainty has been developed. The main purpose is to provide a model for profit maximization and minimization of the total transfer time of electronic products between distribution centers and customer clusters. To examine the developed model, three different problem solving methods have been considered, including the Epsilon constraint method, the NSGA II algorithm and the MOPSO. The results obtained from the analysis of the sample problem in small size show that NSGA II algorithm has 14 efficient answers, MOPSO algorithm has 10 efficient answers and Epsilon method has obtained a limit of 8 efficient answers. The computational results show the high efficiency of the MOPSO algorithm in obtaining the optimal weight of 0.9744 in solving large size problems.

In severe market conditions, innovation is the creation, development, and implementation of new ideas or improvement in current products, processes, and strategies, consequently leading to successful trading and market leadership, providing values for beneficiaries, bringing economic growth, and improving the living standards. An innovation ecosystem is described as a physical environment that refers to a network or cluster of entrepreneurs, inventors, enterprises, universities, research laboratories, governmental agencies, and other institutions and resources aiming at achieving a new process or product development. Therefore, this research mainly aims to identify and prioritize the factors affecting the success of the innovation ecosystem in enhancing small businesses. In this research, after identifying the effective factors using library study and interviews with managers at science and technology parks, a Delphi survey was applied to recognize main factors for the statistical population, including companies located in Tehran, Pardis, and Qom Science and Technology Parks. Then, the AHP questionnaire was used to prioritize the factors. The results can be helpful to innovation ecosystems to find and apply their critical success factors, foster small businesses and startups, and survive in the competition ground.