نشریه آینده پژوهی مدیریت
سال سی و دوم شماره 4 (پیاپی 127، زمستان 1400)

Nowaday, active organizations, especially media organizations, are always faced with a concept called changes, which has an undeniable impact on various dimensions, including their structure and management method. Among the causes of these changes are new technologies. In recent years, new technologies have not only undergone changes themselves, but are rapidly affecting the organizations situation and function. These technological developments inherently present challenges and threats such as survival and competitive advantage that advanced organizations use as an opportunity to develop agility.

To provide a conceptual model of the role and the position of new technologies in media organizations agility.

The present study is by nature exploratory, and is an applied one used the survey method. The statistical population of this research are university professors in the field of media and communication management, active and retired employees and managers of IRIB Organization, consisted of 160 samples.

New technologies are an effective tools for “speed”, “flexibility”, “Responsiveness” and “competency”.

Research findings show that new technology has a significant effect on improving media organizations agility. In this regard, among the four variables of organizational agility examined, the use of new technology has the greatest impact on the variable “competency”.

The duties of university graduates in the field of marketing management are to present a strategic plan with a forward-looking perspective on consumer behavior as a model for empowering marketers and consumers in particular.

In this research paper, it is attempted to investigate the models of predicting consumer buying behavior with macro analysis in physical and virtual space. First, the rules and process of purchasing decision models, and then the formulation of a variety of decision models with the prevailing antimatter in the physical and virtual global competitive environment, with the help of interaction and exchange science and information science and technology.

In order to achieve the results of the research, by designing a questionnaire with a statistical population of 346 people and a five-point Likert scale with 5 subscales, also a questionnaire with Cronbach's alpha of 0.754, using SPSS statistical software and two statistical tests. Significance, standardization and appropriate fit of the selected questions model for the factors under investigation were confirmed by the LISREL Confirmatory Factor Analysis indices of 2.22 df / 2x.

For this purpose, the data of exploratory factor analysis using chi-square test with significance level of 0.000 and KMO index for sample adequacy is 0.765.

By using From equity statistics, And the matrix of agent rotation, two main factors with two-factor behavioral agents, and three-factor stimuli, with more than 63% of the variance were identified and extracted.

In the modern age, attracting and retaining customers for any organization is inevitable, and their durability is depending on strategies that are used to satisfy and attract customers and also convert potential customers to real customers and their loyalty. Due to the rapid rate of change in firms, one of the factors of production in small and medium enterprises in line with the mutation of productin is modification of marketing because today marketing can be considered as one of the ways to achieve the goal of the companies with considering future research approaches.Given that this study focuses on firms that provide services, it aims to identify the drivers and factors that affect service marketing, including commercial services except for financial and insurance services. To this end, many drivers were collected by reviewing previous studies, interviewing experts in this field, and holding meetings with companies and service providers. The tool used in this study is fundamental data theory, by which the approach has been able to aggregate and classify the collected drivers and apply them to the Strauss and Corbin model.As a result of this study, 46 drivers were selected and classified into five categories of causal conditions, main phenomena, confounding conditions, context, strategy and outcomes.

Future Studies;The knowledge of analysis,design and intelligent establishment of the future,and E-learning as one of the most important educational methods in the field of information andcommunication technology,by removing time and place and achieving various educational opportunities,requires a concept to create an image of the future for improvement and entrepreneurship.

This study aims to investigate the role of future studies of E-learning in entrepreneurship development.

In this study,ccording to the purpose and nature of the research,the combined research method has been used with a combination of qualitative and quantitative methods.In statistical population of the qualitative section,18experts,pundits,university chancellors and elites of the scientific community were chosen by snowball sampling method;and in a quantitative part,224faculty members of North Khorasan universities was selected by stratified random sampling according to the size of the colleges.For data collection,a researcher-made interview and a questionnaire were used.The reliability coefficientofeach category was obtained by using Cronbach's alpha test

The results present that this coefficient is morethan0.7forallcomponents.The analysis methodof interview data, in the qualitative part, has been selected open, axial and selective coding and in the quantitative part has been selected the confirmatory factor analysis present that117opencodeswasidentifiedintheformoftwocomponents(externaland internal indicator)and entrepreneurship development component of E-learning was identified 62open codes was identified in the form of two components(quality strategies for the development of E-learning and E-learning substructures)The results of factor analysis of the second order also confirm that the components of entrepreneurship development,ntrepreneurship capability component is the most important and entrepreneurial culture with the coefficient of0.58is the least important in the model.

Despite the focus on smart management systems in the water and wastewater sector of Iran, little attention has been paid to the operational objectives and the prerequisites of their implementation. Furthermore, despite the huge investments made, the neglect of this issue has undermined their effectiveness. Accordingly, In order to analyze the factors affecting the location of smart water and wastewater facilities, this research has been done from the perspective of their establishment requirements. After reviewing the available documentation, Interviewing, Thematic analysis, Focus group formation and Thematic network design, in the second step, to check the validity of the themes, questionnaire design, Sample size and Normality test, KMO coefficient, Bartlett's Spear test, Factor Analysis and goodness-of-fit tests were used to identify the factors affecting the location of smart facilities and finally, Factor loading were used to rank the measurable variables.The results show that the latent variable of smart water management mystem deployment prerequisites is more effective than the latent variable of deployment goals of the mentioned system. option "Have a proper implementation strategy" of the components required to deploy the smart water system has the most impact and "Smart distribution network management" of the deployment goals variables have the most impact on the implementation of smart facilities in the water and wastewater industry.

Business models are the basic structures of how companies are created, marketed, developed and infiltrated, as the engine of any country's economy. They determine the pace of economic growth and resource consumption. Business models, in addition to the number and type of jobs available, also determine the quality and price in the market, the quality of communities and life. Research shows that search practices are an important part of the innovation process. Innovative knowledge theory based on advanced statistical techniques (Bayesian inference duplicate) shows that start-ups rely heavily on multiple external sources for in-depth and extensive search when introducing new business models, when innovating products and processes. This deep and extensive external search for business model innovation (BMI) is important because when introducing new business models that rely more on business rather than technical or implicit knowledge, the model seeks to explore knowledge of corporate activity.Business models are the basic structures of how companies are created, marketed, developed and infiltrated, as the engine of any country's economy. They determine the pace of economic growth and resource consumption. Business models, in addition to the number and type of jobs available, also determine the quality and price in the market, the quality of communities and life. Research shows that search practices are an important part of the innovation process. Innovative knowledge theory based on advanced statistical techniques (Bayesian inferenc

Today, in order to satisfy customers and increase their loyalty, service and manufacturing institutions are always trying to create various competitive advantages, based on which, they have often made marketing research and quality improvement as the main focus of their research. The purpose of this study was to investigate the relationship between internal marketing and product quality due to employee satisfaction among employees and customers in the dough production company (instant dry yeast) with 360 employees, which has been done by descriptive and survey methods. The statistical sample of this study, which was selected from the dual statistical population of employees and customers, included 248 employees working in the factory and head office, as well as 355 customers of this product. To obtain this sample size for the customer population, the sampling method is based on the thumb rule and for the employee population, the simple random sampling method is used. The required data were collected by researcher-made questionnaires. In this study, SPSS software version 26 was used to describe information and model structural equations using Amos software version 24 to answer research hypotheses. The results of this study showed that there is a significant relationship between internal marketing and product quality due to employee satisfaction, which then the researcher made some suggestions based on this

One of the main problems and concerns of today's world is the termination of fossil fuel resources as the most important current energy source in the world; for this reason, renewable energy has been considered as an alternative to fossil fuels.

The aim of this study is to formulate scenarios for the development of renewable energy in Iran with future study approach.

Based on the purpose, this research is an application that has collected information using qualitative-exploratory methods. We used interviews and expert panels for data gathering. In this study, the statistical population of managers and experts are knowledgeable and specialized in the field of energy, especially renewable energy, which according to the type of information required to conduct research, non-probabilistic sampling has been used.

A panel of experts was formed and the driving forces were identified. In order to determine the main drivers, two indicators of importance and uncertainty were used. According to the indicators of importance and uncertainty, the two driving forces of "emerging technologies" and "green and sustainable economy" were selected. Four scenarios were developed: "Environmental sustainability with green gold", "Temporary and unsustainable rise towards sustainability", "Productivity with black gold" and "Continuation of the current trend and the sinister cycle of the black disaster".

At the end of the scenarios compiled with the background, it was compared and analyzed to what extent the proposed scenarios of the present research are in line with the findings of those researchers.

The decision to choose a suitable opportunity in uncertain conditions is a common problem for entrepreneurs. Due to the time delay between evaluating and exploiting opportunities, entrepreneurs ' information about opportunities is inaccurate and minimal. Therefore, understanding the nature and resources of uncertainty is the basis for entrepreneurial decisions and the main focus of entrepreneurship.

This study aims to identify measures of uncertainty in assessing entrepreneurial opportunities in business-oriented businesses with a mixed approach.

The statistical population of research includes experts in the field of the software industry. The sampling method in this section was purposeful sampling which showed the collection of information, semi-structured interview, and questionnaire. Data analysis is done in the qualitative data section by coding and quantitative data analysis by weighting and analysis of variance and multi-criteria decision making. Findings and

uncertainty markers in this research are subject to six uncertainty sources, customer, agent, competitive, technological and political, and 29 initial codes, a schematic model of each element.