نشریه مهندسی مدیریت نوین
سال دهم شماره 1 (بهار 1403)

Until now, the supply management approach has been the dominant approach in the management of water resources in the country, and the result of this management approach has significantly reduced the level of surface and underground water. The imbalance between the development of the country and the protection of water resources has intensified with the emergence of climate change, this situation prompted the executive directors of the Khuzestan Water and Electricity Organization to register a new experience in the drought of 1400 by changing the approach from supply management to consumption management. . The purpose of this article is to compare the quantitative results of two management approaches used in two similar drought phenomena in recent years using the comparative management method. This study is practical and causal from the point of view of the purpose, from the point of view of the implementation process of quantitative research, from the point of view of the logic of deductive-inductive implementation, and from the point of view of data collection, it is descriptive-survey. A comparison of the volume of water distributed with the old approach in the drought of 2012 and the volume of water distributed with the new approach in the drought of 2014 shows that the choice of the new approach on the level of 34272 hectares of agricultural land under summer cultivation in the southern Karkheh catchment area, causes savings. The amount of water is 692 million cubic meters.

This goal of the research is identify, categorize and causally map the components of a successful brand in higher education. This research in terms of purpose; functional, in nature; exploratory-analytical; in data collection method, it is a combined (qualitative-quantitative) method. In the qualitative phase, the components of a successful brand were identified by reviewing the literature and research background and experts' confirmation. Then, using the opinion of experts, these components were categorized. Ultimately, by using a pairwise comparison questionnaire, the required data was extracted from 11 experts of the technical and vocational university, and by using the causal mapping approach, the successful brand model was designed with the integration mental map of the experts. The findings of the qualitative phase showed that a successful brand in higher education consists of 6 components, which were divided into university image, costs and financial matters, university services and facilities, advertising and external communications, planning and success of education and the location of the university. The highest relationship between variables is related to the relationship between university services and facilities with costs and financial items. Then, between the university image variables and university services and facilities. The weakest relationship is between the cost and financial variables with the university image and educational planning and success with costs and financial items. Successful brand consists of university image, costs and financial matters, university services and facilities, advertising and external communications, planning and success of education and the location of the university.

Understanding how consumers make decisions is one of the important things in customer behavior that is addressed by neuromarketing. The purpose of this article is to present a new solution in neuromarketing by receiving brain signals and extracting and selecting important features and classification to increase the prediction of product selection by customers. In this article, brain signals from twenty-five participants who have seen the products have been received and characterized by the high-order spectrum method. In order to select the best features, in this article, the swarm algorithm of salp chaos has been presented, which can identify the effective features with high search power, and for the final prediction, different classifications have been used in the form of multiple learning. In the proposed model, the high-order spectra method was applied in extracting the phase information of the electroencephalogram signal in order to investigate the relationship between liking and disliking the product, which included more than seven hundred features. Then feature selection was used with the improved Salp swarm algorithm with logistic chaos mapping and the features were reduced from 742 to 198 features. The results showed that the proposed model was able to have an average accuracy of 75.99% in detecting the choice of users in all products, which shows a 3.75% improvement in the results compared to similar researches.

Social entrepreneurship often pursues broad goals in the social, environmental and cultural fields and is often connected and cooperated with the voluntary and non-profit sector. Social entrepreneurship is looking for useful methods to promote social justice and creatively solve problems and social challenges of the society. Feeling the need to create a balance between the two categories of economic development and social justice motivates the social entrepreneur to take advantage of opportunities and effective methods that have a more general social return. The current research aims to design a digital social entrepreneurship model and provide solutions to social problems through the digital platform and virtual space in order to develop social services and using a data-based approach based on three stages of open, central and selective coding. has been The statistical population of the research was all the businesses in the social and digital fields of the country, and considering the quality of the research, sampling was done by identifying very successful examples and expert entrepreneurs in these two business fields using the snowball method. and has been deeply studied and considering the lack of qualitative research in the field of digital social entrepreneurship, theoretical saturation has been reached based on interviews with11 successful experts and activists in these two fields.The findings of the research have led to the identification of 33 influential components in the form of categories of causal and contextual conditions, interveners and strategies for the realization of digital social entrepreneurship and the explanation of its consequences

Considering the ever-increasing progress of various technologies and their importance for the survival and international competition of companies in various industries, it is very important to formulate and implement the correct and appropriate strategies of each organization according to its special technological capacities and capabilities. This study aims to identify the technological innovation components of the organization and examine their role in the strategic position of the organization. For the present study, quantitative research method (questionnaire) and interview tool were used in order to extract part of the required information. The statistical community of the research is the Esfahan's Mobarakeh Steel Company, and the experimental data were analyzed using structural equation modeling by Lisrel software. The results of this research show that there are positive and significant relationships between the components of technological innovation and the strategic position of the organization. In other words, for policymaking and improvement of technological innovation factors in organizations, appropriate strategies can be used for each of them. Therefore, in order to gain a superior competitive position, Esfahan's Mobarakeh Steel Complex must apply the factors of technological innovation at the same time using the right and appropriate strategies and be innovative and progressive. Also, a model was presented to investigate the relationship between the components, which was confirmed according to the research results. Based on the findings of this research, the output factors of technological innovation have the least effect on the cost strategy of this company compared to other components.

The purpose of this study is to investigate the impact of Delta model strategies on organizational performance with the moderating role of government regulation. This study is categorized as applied and descriptive. The statistical population was consisted of managers and experts of the strategic and marketing departments in IT firms located in the Pardis Technology Park that number was 266 people. According to the Cochran's formula, the sample size was calculated to be 158. Data collection was done by a researcher-made questionnaire. The content validity of questionnaire was confirmed using expert's opinion and its reliability was confirmed by Cronbach's alpha coefficient. Data analysis was performed using the structural equation modeling (SEM) in Amos software. Results of the study indicate that Delta model strategies, including best product, total customer solution, and system lock-in, have positive and significant impact on the IT firm’s performance. The impact of system lock-in on performance is greater than other Delta model strategies. Also, government regulation moderates the relationship between Delta model strategies and organizational performance. The greatest impact is related to the total customer solution and the least impact is related to the best product.