نشریه ارزش آفرینی در مدیریت کسب و کار
سال سوم شماره 3 (پیاپی 9، پاییز 1402)

The aim of the research was to investigate the effect of autobiographical memory on tourists' travel intentions, the role of matching the destination with desires, satisfaction and attachment to destination. This research, in terms of practical purpose and in terms of data collection, is descriptive-survey and causal. The statistical population of the research includes tourists who have traveled to Mashhad city more than once, according to the statistical population, 384 people were randomly selected as a statistical sample according to Morgan's table. The required data were collected using a standard questionnaire and Cronbach's alpha coefficient was used to measure the validity of the instrument from face validity and construct validity and to measure the reliability of the instrument, the value of which was estimated at 0.905. SPSS and Smart PLS software were used for data analysis.Based on the results, it is suggested to the tourism planners to consider the autobiographical memory in order to increase the travel intention of the tourists and according to its dimensions, try to create more attachment in the tourists in order to increase the possibility of the travel intention from the tourist destination.

Geomarketing is a new interdisciplinary knowledge that has been increasingly used with the development of technology and tools for collecting location data, especially in organizations developed in the geographical area. In fact, GeoMarketing should be considered as a kind of engineering of the neglected element of location in minimizing the uncertainties of marketing policies, so that it has the ability to challenge the traditional models of developing marketing strategies. GeoMarketing should be considered as a scientific and operational strategy in measuring the spatial acceptability of policy feedback before adopting them on the basis of smart maps. The purpose of this article is to examine more closely the capabilities of the development of the Place element on the basis of the GeoMarketing strategy in relation to each elements of marketing mix (price, product and promotion). which by providing a new definition of this topic along with the basic explanation, Implementation steps of Tehran's standard geomarketing project to guide the policies of a business..In this article, by collecting information and processing them in 7 business components, in relation to the extraction of neglected potentials in the development of the branches of a clothing brand, by implementing multi-criteria decision analysis and the weighted average result of collecting the opinions of 11 experts in the field of clothing on the software platform ArcGIS was implemented. In the end, the three areas of Artesh Boulevard, Abshenasan and Shohada Square were identified as areas of potential with pedestrians and left for interpretation. It is obvious that this new topic is in the early stages of its maturity and it is suggested to discover its practical capabilities in other business topics.

The purpose of this research is to identify the financial benefits and costs of sustainable supply chain under conditions of uncertainty in manufacturing companies admitted to the Tehran Stock Exchange. In terms of practical purpose, in terms of exploratory nature, and in terms of data collection method, this research was conducted qualitatively and with meta-composite method. The statistical community was formed in the metacomposite approach, including the articles available in Emerald, ProQuest, Absco, Science Direct, Springer, Scopus, IranDoc, Iran Mag databases. In the qualitative part, through library studies and with a metacombination approach, the financial benefits and expenses of the sustainable supply chain were extracted and categorized under conditions of uncertainty, and the initial model was proposed. Concepts of order process management process capability, customer relationship management process capability, demand management process capability, capacity and resource management process capability, time to market, buyer credit, electronic platforms, supply chain coordination and collaboration to improve service performance, synchronization Financial decisions, innovative information sharing related to finance, supplier relationship management process capability, service performance management process capability, supply chain companies' partial interaction were named and classified in the category of "sustainable supply chain financial benefits". Concepts of inventory financing, product innovation, reverse factoring, cash flow incentive alignment, supply chain working capital, bank credit for supply chain financing, supplier integration, recycling management, supply chain disruption risk, supply chain transportation management, changes in The estimates and their basis were named and classified under the category of "Sustainable Supply Chain Financial Expenditure".

The profit predictability of the company's future performance is based on accounting information. It uses the information obtained from these forecasts to determine the company's value from the point of view of users of financial statements. Therefore, the current research was conducted with the aim of designing and explaining the profit predictability assessment Model in Companies active in the financial industry. This qualitative research was compiled using thematic analysis; In this research, by using semi-structured interviews with 18 experts in the field of accounting, as well as reviewing related researches, the findings were combined and the present model was designed. Based on this, by analyzing the content of the interviews and researches using the MaxQda2020 software, the relevant dimensions were extracted and the importance and priority of each was determined using Shannon's entropy technique. Based on the research approach, 28 components were extracted and the company's information environment, deviation analysis, profit variability and financial leverage analysis obtained the highest coefficient of importance using Shannon's entropy technique. In this research, the profit predictability evaluation model was presented in the form of 28 components. Since a comprehensive model has not been provided to evaluate the predictability of profits, this research can be useful in the direction of emerging challenges, profitability and improving the ability of Companies active in the financial industry to create scenarios.

The purpose of this research is to present a qualitative model of the use of social media influencers in the behavior of consumers in the luxury cosmetics industry. According to its purpose, the research method is practical, and in terms of implementation, it is qualitative, based on the foundation's data method. The statistical population of the research includes 15 managers of advertising companies with at least 5 years of work experience, managers of online stores in social media and university professors in the field of marketing management who had research. The sample size was conducted with the logic of theoretical sampling and judgmental method and through semi-structured interviews of experts in the field of advertising, and the interviews continued until reaching theoretical saturation. A semi-structured interview was used to collect information. MAXQDA software was used to code the data. The results showed that social media marketing had a total of 11 factors and 93 components extracted and identified. Identified factors include: causal conditions (changes in the way of marketing, technological changes, people's biological changes), central phenomenon (the process of using social media influencers), background and background factors (characteristics of social media influencers, brands), intervening factor (government factors, social insight from social media), strategic factor (using different marketing strategies, measuring influencers' advertising success), consequence (advertising effectiveness).

in the current era, the increasing process of environmental degradation has become a crisis which increases day by day deterioration and its impact. although, sustainable economic development is a common responsibility between the organization, government and consumers, but organizations can play a dynamic role in reducing environmental degradation .in the other hand, managers have an important role in reducing the pollution and the governments tend to have environmental accountability .in this regard, the purpose of this study is to model the environmental accounting strategies and accountability of managers with data approach .in this regard, 11 interviews with experts in the field of environmental accounting and managers in the field of environmental accounting were conducted .interviews were continued until the theoretical saturation and then after primary coding in five categories of ali, outcomes, intervention, and background and action strategy were classified .it is hoped that the results of this study have taken a step toward environmental accounting and accountability.

The purpose of this research is to compile a model of digital marketing strategies in successful Iranian startups. According to its purpose, the research method is practical, and in terms of its implementation, it is mixed (qualitative-quantitative). The statistical population of the research in the qualitative part includes 13 academic and executive experts in the field of startups in the country, who were selected using the purposeful judgment method and the snowball method, and the statistical population in the quantitative part includes the marketing unit of active successful startups. There are 250 people in the country (5 companies) and marketing professors of 5 top universities in Tehran, and the statistical sample was 148 people, 180 distributed and 163 analytical questionnaires were selected using Morgan's table. A semi-structured interview and a researcher-made questionnaire taken from the qualitative section were used to collect information. In the qualitative part, the data theory method of the foundation was used, and the data obtained from the interviews were coded and analyzed in the three main stages of open coding, central coding, and selective coding, and in the quantitative part, the factor analysis of the indicators was done. The results of the qualitative part indicated that 241 primary codes, 46 central codes and 14 selective codes were identified and extracted. The results of the research showed that the causal conditions with 4 variables of network capability, use of artificial intelligence, marketing capability and customer knowledge have an effect on digital marketing strategies, and the results of confirmatory factor analysis showed that the fit indices of the model were confirmed.

The purpose of this research is to identify the dimensions and components of the maturity model of the open innovation ecosystem in Iran's defense industries based on the purposeful use of knowledge flows, in the form of ideas, science or technology in order to create value that can bring significant benefits to the individuals and organizations, including accelerating the main processes inside the organization (internal innovation) or expanding the market (external innovation) outside the organization. This research is an applied-basic one. In order to do so, 485 papers in the field of open innovation were collected using the meta-synthesis method. Based on the algorithm for selecting the final articles, the data of 80 articles were analyzed, and the maturity model of open innovation ecosystem was designed using the coding method and Maxqda Analytics Pro Software. To check the quality or reliability of the indicators, Kappa coefficient was used in SPSS software, which is equal to 0.86 in the current research, that indicates the appropriate reliability of the indicators. The analysis of the concluding model and the findings of this research showed that the open innovation ecosystem has several components in forms of 13 categories and 23 concepts, including collaborations and joint ventures, investment in ideas and research, and crowdsourcing. Also, the results showed that participating in investment, making mutual contracts with companies active in the field of business, and acquiring small and knowledge-based companies can accelerate the main processes of innovation within the organization.

The purpose of this research is to identify the dimensions and explain the technology valuation strategies of Iranian startups. The research method was applied in terms of purpose and based on the method of data collection, with a qualitative research approach. The statistical population of the research included experts, policymakers, consultants and CEOs active in Iran's startup ecosystem, 10 people were selected using the purposeful sampling and available method, and it was also analyzed using the interview content analysis method. Based on the findings of the study, 7 subcategories were identified in the main category of strategies. These sub-categories include the development and promotion of the technology valuation discourse, the transformation of existing knowledge in the field of technology into desirable and valuable knowledge, leadership and idea management, comprehensive technology evaluation system, culture building, regulation and regulation in the technology market, and the localization of technology valuation. Therefore, these strategies, while paying attention to Iran's environmental and cultural issues, can help the development and progress of Iranian startups in the technology valuation process and play an important role in the country's economic development.

The purpose of this research was to design a distribution channel selection system in the supply chain of the oil industry using the combination of adaptive neural-fuzzy network and meta-heuristic algorithms (Case study: National Oil Products Distribution Company of the dual regions of West Azerbaijan). This research was based on the purpose of the research, developmental-applicative and based on the descriptive-modeling research method. The statistical population of this research was 185 axis sales, Sekodar and fuel supply stations in the two regions of North and South of West Azarbaijan province. In this research, questionnaires and documents were used to collect data. In order to analyze the data, confirmatory factor analysis, adaptive neural-fuzzy network in basic mode and adaptive neural-fuzzy network combined with genetic meta-heuristic algorithms and particle swarm have been used. In this research, first, the combined distribution channel selection system was designed, and then using the system designed based on the least error, the traditional distribution channel and the branding plan of the fuel stations were evaluated based on the input scores. The results show that the best system for selecting the distribution channel was the adaptive neural-fuzzy network combined with the particle swarm algorithm. By comparing the performance of the branding plan and the traditional method, it was determined that the branding plan has a better performance and is a suitable distribution channel for the National Oil Products Distribution Company of the dual regions of West Azerbaijan.

This article aims to design a structural, behavioral and background model for talent management in the specialized parent company of thermal power generation. Since the phenomenon of organization and management can be studied and analyzed in the form of three categories of structural, behavioral and contextual factors, the basic basis of the conceptual framework of the research is the use of the three-pronged model. To achieve the purpose of the research, a mixed exploratory design (qualitative-quantitative) was used. became Based on the findings of the qualitative section, a questionnaire was compiled and distributed among 237 employees of thermal electricity subsidiaries. The final model was validated by the structural equation modeling method and the appropriateness of the model was confirmed in fitting the collected data. The results showed that the structural dimensions of talent management include six dimensions of organizational structure, recruitment system, training system, service compensation system, management and performance evaluation system, and organizational strategy. Behavioral dimensions include the three dimensions of organizational culture, leadership style and meeting high-level needs, and contextual dimensions include the atmosphere and environment of the organization and the external environment. The proposed three-dimensional model can be effective in line with the policies and decisions of managers in the process of attracting, developing and maintaining talents.

The purpose of this study is to analyze the topic of digital marketing environment. The research method is applied in terms of purpose, and in terms of data collection, it is a qualitative research based on foundational data theory. Data were collected through the study of documentary sources and semi-structured interviews with 19 managers and experts active in the field of digital marketing, through targeted sampling and snowball using MAXQDA18 software. In the open coding stage, 242 preliminary codes were identified from the analysis of the interviews. In the second step, axial coding was done using the structures of the axial coding model around the investigated phenomenon. Based on the findings of the research, the concept of digital marketing environment was chosen as the central phenomenon. Causal conditions were placed in the form of four categories of innovation, optimal management, structural factors, convenience, and six main categories including business strategies, educational strategies, innovative strategies, planning and monitoring were selected as strategies. Intervening factors were identified in two categories: strengthening and weakening. Cultural factors, infrastructural factors, education, leadership style, strategies were determined as the background factors of the digital marketing environment. Finally, the consequences of the factors affecting the digital marketing environment were determined at three micro, medium and macro levels.

The purpose of this research is to provide a new business model to help entrepreneurs in developing new businesses and e-commerce startups.The research method is applied in terms of its purpose, developmental in terms of its direction and quantitative in terms of its nature. the statistical population of the research consists of 25 experts in the field of entrepreneurship and  e-commerce.The development of model has been done based on Osterwalder and Pigneurs’ basic business model (2010) and limitations identified in it. in development of model the dimensions and indicators related to each dimension collected by the review of theoretical literature. in the following, in order to calculate the Content Validity Ratio based on the experts' opinions, 12 dimensions and 83 components confirmed and finalized among initially introduced dimensions and components. the final dimensions of business model in current research involve business goals, strategy, key competitors, key partners, channels, customers, customer relationship, value proposition, key competencies, key platform, pricing and revenue stream and cost structure and risk. based on the results of quantitative calculations, the most important dimensions from view of experts are business goals with score 0.87, content marketing strategy with score 0.7 and suppliers related to target customers with score 0.61. Finding of research display that business model presented in current research, in addition to improving Osterwalder and Pigneurs’ business model (2010), has led to better understanding of business model elements among entrepreneurs. Further more it creates convergence and common understanding of business concepts between entrepreneurs and investors, which improves investment negotiations. through this business model, entrepreneurs focus on value proposition in addition to the technical details.

The aim of the current research was identifying the effective dimensions and components on research and development strategies in domestic automobile companies. This study in terms of purpose was applied and in terms of implementation method was qualitative. The research population was the managers and experts of domestic automobile companies, which according to the principle of theoretical saturation number of 20 people of them were selected as a sample with using purposive and snowball sampling methods. The research tool was a semi-structured interview, which its validity was confirmed by the triangulation method and its reliability was calculated by the agreement coefficient method between two coders 0.83. Data were analyzed by thematic analysis method in MAXQDA software. The findings showed that the effective dimensions and components on research and development strategies in domestic automotive companies had 33 sub themes in 7 main themes including business strategy, support policies, investment attraction, knowledge capital, cultural development, research and development implementation network and research and development management. . Finally, the pattern of effective main themes on research and development strategies in domestic automobile companies was drawn. The results of this study have many practical implications for the managers and officials of domestic automobile companies, and they based on the results of the identified main and sub themes in the present study can take an effective step in the direction of research and development.

The purpose of this research is to understand the women working in the public sector about the organizational climate in the path of employment and promotion. According to its purpose, the research method is applied, and in terms of implementation, it is qualitative, of thematic analysis type, and in terms of its nature, it is fundamental and descriptive. The statistical population of the research includes 14 women working in the central bank, and the sampling was done in a purposeful and snowball manner, and the interviews continued until theoretical saturation was reached. The data collection tool is a semi-structured interview. For data analysis, MAXQDA 2020 software was used for coding. The results show that 60 themes as basic themes, 15 organizing themes (unsupportive environment, positive organizational climate, bee syndrome, legal gap, empowerment, lack of protective laws, discriminatory structure of recruitment and promotion, gender bias, hierarchical relationship, etc.) work, incompatibility of job structure and family obligations, measuring productivity, job identity, individual characteristics, women's needs) and finally after comparing and analyzing the themes of the organizer, 3 main categories under the title of inclusive themes (ruling atmosphere from women's point of view, possibility Employment in the middle to upper level, women's belief about career advancement) was identified and finally, the model of public sector working women's understanding of the organizational climate in the path of employment and promotion was identified.