delphi

The use of new technologies, especially artificial intelligence and the Internet of Things, changed the definition of a university in the 21st century towards a smart university. In the smart university, spaces are transformed into a safe, controlled and intelligent environment for learners using the Internet of Things and artificial intelligence. Considering the importance of making the university smart in line with other countries, the current research seeks to provide a model of a smart university based on the Internet of Things and artificial intelligence. The research method was qualitative and by using semi-structured interviews with experts, necessary information was collected and with the aim of extracting the elements and components of the model, this information was coded based on thematic analysis method. The statistical population of the research included 23 academic experts from the fields of educational technology, higher education management, information and communication technology, and artificial intelligence. Sampling was done in a targeted and snowball way. Delphi technique was used to validate the theme network. The research findings showed that the smart university model based on Internet of Things and artificial intelligence has 15 components and 70 sub-components.

Today, the use of technology in organizations as a solution to organizational problems has led to the emergence of a new concept: "technological entrepreneurship." Banks are considered one of the most influential organizations in the development of entrepreneurship in the country, and the advancement of technology has prompted the banking industry to utilize technological entrepreneurship to improve efficiency. Therefore, the aim of the current research was to design a technological entrepreneurship model for the Agricultural Bank. This research is applied in terms of purpose and descriptive-correlational based on the method. The statistical population in the qualitative stage comprised 20 experts who were selected by a purposeful judgment method. In the quantitative stage, there were 250 employees of the Agricultural Bank of Golestan province. The sample size was determined to be 152 people according to the Krejcie and Morgan table, and sampling was done using a simple random method. The Delphi method was used to identify factors, and the structural equation modeling method with Smart PLS3 software was used to design the model. The Delphi results showed that the effective factors on technological entrepreneurship include 36 components in the form of 7 dimensions: inter-organizational, structural, institutional, skill, managerial, market and customer interactions, and technology. Additionally, the results of structural equation modeling showed that inter-organizational (0.792), structural (0.841), institutional (0.846), skill (0.726), managerial (0.628), market and customer interactions (0.598), and technology (0.491) factors have a positive and significant effect on technological entrepreneurship. In conclusion, technological entrepreneurship is considered an important strategy for the Agricultural Bank to remain competitive in a highly dynamic environment.

Implementation and management of all projects are always accompanied by ambiguities and the unknown that could have positive or negative effects on the results. Therefore, the assessment of project risks is of particular importance. In this study, the possible risks in industrial methods of building construction in the technical, executive, economic and support, political, cultural, social and environmental aspects were identified and categorized. In order to identify the main risks, the Delphi method based on experts and elites’ comments were used. Out of 48 identified risks, 18 risks were selected which were classified into five scopes of economic, executive, technical and cultural, social and political support. Then, using the DEMATEL method and the two criteria of intensity of interaction and impact relation map, the effect of each of these factors on the objectives of the probability of occurrence and finally the importance of each risk were determined. Ranking these factors showed that executive, economic and support scopes were the riskiest scopes of industrial construction methods. In addition, the results of the research showed that based on both criteria, inappropriate and inefficient management were the greatest risk factors followed by the risks of false selection of construction techniques, lack of knowledge and technical skills of executives, existence of conflict between executives and stakeholders, budget deficits, unseen delays in the project and price fluctuations and inflation.

The factors used in the foresight of any system vary from country to country, society, culture, politics and even time. Identifying and planning for influential factors in any industry is of particular importance. By identifying influential indicators, planners and policymakers determine which indicators are prioritized. Also, to move towards the main goal of organizations, identifying these indicators will help policymakers and planners to invest and optimize the most important indicators.The main purpose of this study is to identify the political factors affecting the future of the rail transport system in the freight sector. In this research, the identification of political factors of the rail transportation system in the freight sector has been done using a combination of library, field and Delphi studies and Micmac software has been used in the analysis. The three stages of this research have sought to present the most important political factors affecting the future of rail transportation in Iran. In the first step, all factors were identified. In the second stage, using the Delphi method, a consensus was reached in three consecutive periods, and in the third stage, using Micmac software, eleven factors in three categories were presented as the most important drivers for the future of the rail freight transportation system.
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Today, the importance of start-up agricultural businesses is more than ever, and to achieve this, it is necessary to provide the right environment and conditions for start-up businesses. The purpose of this study was to analyze the factors affecting the success of start-up agricultural businesses. This research was applied in terms of purpose and descriptive-survey in terms of implementation method, which was done with a mixed exploratory approach. The statistical population in the qualitative stage was 11 university experts who were selected by purposeful method and snowball. In the quantitative stage, all the experts of the country's new agricultural businesses were 200 people. Simple random sampling method was used. The Delphi method was used to identify the factors and the structural equation modeling method with Smart PLS3 software was used to analyze the relationships of the variables. The results showed that the factors affecting the success of start-up agricultural businesses include 51 components in the form of 9 dimensions (individual capabilities, human resources, environmental factors, marketing activities, financial issues, product development, customer satisfaction, strategy, networking). Also, the results of structural equations showed that individual capabilities (0.317), human resources (0.356), environmental factors (0.438), marketing activities (0.378), financial issues (0.404), product development (0.399) Customer satisfaction (0.415), Strategy (0.329), Networking (0.426) have a positive and significant effect on the success of start-up agricultural businesses. Finally, it can be said that the success of start-up agricultural businesses is an important strategy for promoting agricultural entrepreneurship.

One of the important issues along with water shortage and demand in cities is the issue of wastewater disposal and treatment. When it comes to wastewater and its treatment, the first thing that comes to mind is the discussion of the environment and its protection from pollution because wastewater is always a major polluting parameter in human and natural environment The construction of a wastewater treatment plant is a civil-environmental activity whose main purpose is the proper and hygienic disposal of wastewater, which, if neglected, will have irreparable consequences. The first effective step for the construction of these facilities is to identify their suitable location, which is done by considering various factors and criteria. For this purpose, multi-criteria decision making (MCDM) methods have been used. Here, according to the existing conditions, hierarchical decision making (AHP) and Delphi (delphi) decision methods have been selected to solve the problem. In this research, Farooj city, which is one of the cities of North Khorasan province, was studied for the construction of a wastewater treatment plant.

Military Organizations around the world use virtual reality technology to deploy Virtual Command and Control Systems. But these Organizations also face challenges and problems in adopting this technology. The Goal of this study is to identify these challenges as well as the drivers of acceptance of this technology in order to develop a virtual command and control system in The Organization. According to this goal, first technical literature in the field of virtual reality technology and also in the field of technology acceptance were scrutinized, the barriers to the acceptance of this technology were identified and then the list of barriers and drivers were given to a sample of 8 experts. After 3 Rounds of Delphi Method and Reaching to Consensus Barriers and Drivers were Identified. Kendall's Coefficient of Concordance (W) was Used to Assess agreement among experts. According to Results, it was found that end-user information security, software information security, lack of rules and regulations along with greater safety of people, increasing the quality of training and the possibility of using artificial intelligence are among the Barriers and drivers of acceptance of this technology in The Organization. investment in order not to depend on foreign countries in the production of components necessary for virtual reality, as well as determining the necessary legal framework can help the acceptance of this system in The Organization

Many large organizations today use entrepreneurship as a way to gain a long-term competitive advantage. The importance of entrepreneurship in different industries and areas is not the same for governments and some parent industries such as the oil industry have a special place, so the purpose of this study was to analyze the factors affecting the development of entrepreneurship in the oil industry. This research was applied in terms of purpose and descriptive-survey in terms of implementation method, which was performed by mixed exploratory method. In the qualitative stage, the research team consisted of 28 university experts who were selected by judgment and snowball method. In the quantitative stage of the statistical population, all oil industry experts were 3710 people. The sample size according to Krejcie and Morgan table was 348 people and simple random sampling method was used. The Delphi method has been used to identify the factors and the structural equations method with the Smart Payals software has been used to analyze the relationships of the variables. The results showed that the effective factors on entrepreneurship development include 27 components in the form of six dimensions (environmental-institutional, blue ocean strategy, opportunity, human factors, organizational factors, managerial factors). Also, the analysis of structural equations showed that environmental-institutional (0.386), blue ocean strategy (0.423), opportunity (0.342), human factors (0.318), organizational factors (0.370), managerial factors ( 0.455) have a positive and significant effect on the development of entrepreneurship in the oil industry. Finally, it can be said that the entry of entrepreneurship into this industry can save the oil industry from the current inefficiency and lead to solving problems such as oil equipment and oil sales.

The air transport industry is considered as a forerunner and influential industry in the progress and development of any country and its status is one of the main and important indicators of development. Hegemony to the cost structure of airlines can manage the aircraft operating system on a systematic basis.The purpose of this research is to study and scrutiny the cost of aircraft maintenance in the airline and provide practical solutions to reduce these costs.To achieve this purpose, first, cost reduction methods were identified by studying documents and libraries and research background.Then a questionnaire was developed by Delphi method with a range of 5 Likert options and was distributed in 3 stages among 20 experts of airlines and cost reduction strategies were identified using SPSS software.Then, in order to prioritize the identified solutions, a hierarchical analysis questionnaire was prepared and distributed among the skilled staff of an airline.The results of the questionnaires were analyzed in Expert Choice software and the strategies were prioritized in four dimensions: structure, manpower, technology and budgeting.Finally, according to the research results, applicable solutions were presented based on 4 dimensions.

Many organizational or even day-to-day interactions of individuals are shaped by their decisions, and these decisions sometimes have implications for different stakeholders. In this regard, it is worthwhile to study and analyze the factors affecting ethical decision making. This study aimed to investigate the factors affecting ethical decision making. After identifying and extracting the factors affecting ethical decision making from the literature, the variables were screened by compiling a Delphi-fuzzy questionnaire and the cooperation of eight experts familiar with the field of management and ethics. After performing the necessary repetitions and the saturation limit of the answers, the indicators were finally confirmed. Then, the indicators were analyzed using fuzzy DEMATEL method. Finally, the technique presented the relative importance and relationships between experts by systematically analyzing the opinions of experts. The analysis showed that the variables of "senior managers 'influence", "co-workers' influence" and "emotions / mood" are of great importance among the variables and affect other variables. In contrast, the "spirituality", "business competition" and "decision style" of the decision-maker are less important than other factors. In general, several factors influence the making of a moral decision, but the results indicate that in the individual dimension. The personality, fortifications and values of the decision-maker and in the situational dimension. Reference groups play an important role in making an ethical decision and can guide it. Therefore, more reflection is needed to inform the person who is in the position of decision, more control and more careful monitoring of the outcome of the decision.

Organizations have used a variety of educational methods to achieve their goals in terms of in-service training of their employees: such as presentations and lectures, group discussions, field visits, or field trips and case studies and so on. Virtual training or e-learning is one of the newest and most innovative training methods that organizations use to train their employees. Due to the special importance of in-service training of employees on one side and the advancements in technology on the other side, the need to use these technologies in the field of organizational training is called for more than ever. But, besides all these factors, organizations should not use unscrupulous and ineffective uses of technology without adequate analysis. but It is also logical to have a deep and accurate understanding of e-learning, in other words evaluate and analyze the barriers ahead. In this regard, the present research aims to study the Virtual In-Service Training of employees and identify barriers to its effectiveness (case study, Kurdistan University of medical sciences). The research is a descriptive survey and in terms of purpose, it's an applied research

statistical society consisting of managers, academic professors and specialists in the field of the study. 29 people were selected through deliberate and snowball sampling among the statistical society. In order to answer the research questions, Initially, using library study and interview method, data collection was done which resulted in identifying 32 factors. In the qualitative section, the data obtained from the interview were analyzed using content analysis; In this way, the number of words, and terms used in the sentences and the amount of their repetition were counted and checked so that the patterns in the statements were discovered and the obstacles were extracted in the form of short phrases. The Delphi method was then used to confirm the consensus of experts on identified barriers. During the three stages of the Delphi method finally classified 25 factors (barriers) in the form of six main barriers. After concluding the final consensus with the Kendall coefficient of 78%, the factors were ranked using Friedman test. each of the sub-factors was also ranked.

all in all, 32 factors were identified and ranked as barriers to e-learning and In-Service Training: factors related to the learner were ranked first, infrastructure factors, general factors, educational content, factors related to the teacher and organizational factors were ranked afterwards. Each of the main barriers had other sub-factors which were also evaluated and ranked with the Friedman test. For example, in the section on barriers related to learners: learner resistance to change was ranked first, limited knowledge and skills of learners on information technology was ranked second, lack of trust in cyberspace learning was ranked third and learners limitations in accessing Information technology instruments was ranked forth

 Considering the identified obstacles and also determining the importance of each of them, Measures (such as cost allocation & so on) taken to ensure the effectiveness of in-service virtual training are suggested to focus primarily on learners and then on other factors based on the degree of  its importance.