Journal of System Management
Volume:11 Issue: 2, Spring 2025

In consumer behavior, purchase field is an interesting field for marketers and psychologists. This area investigates types of purchase and factors affecting them. In the meantime, in order to succeed in markets, understanding customers' consumption values and their impact on consumers' behavior is one of crucial issues. The aim of this study is to determine the relationship between values of purchase through green image on impulse purchase and customer loyalty. The statistical population in this study consists of customers of purchase centers of Iran in 2024. The number of sample is estimated as 384 people. Regarding the purpose, this study is applied and belongs to descriptive- survey and correlational researches. For data collection standard questionnaire of Irene et al. was used, whose validity is determined by nominal and heuristic method and its reliability was measured by Cronbach's alpha coefficient as 0.87. For data analysis and hypothesis testing by path analysis and structural equation, LISREL software is used. The results show that there is no significant relationship between hedonistic values and materialistic values through green image of store with impulse purchase but there is significant relationship between hedonistic values and materialistic values through green image of store with loyalty.

In this paper, the effects of firms’ board gender diversity on their financial statements fraud are examined by considering the role of state ownership. Using a logistic regression model, the role of female managers in financial statement fraud is examined for Iranian listed companies from 2013 to 2022. The methodology of this study is a quantitative and ex-post and the sample of this research is related to 153 companies on the TSE. The results of research regression analysis showed that there is a negative and significant relationship between firms’ board gender diversity and their financial statements fraud. The results also showed that in the group of non-state firms, there is a negative and significant relationship between firms’ board gender diversity and their financial statements fraud, but this relationship is not significant in the group of state-owned firms. According to the research findings, legislators and corporate supervisors should pass laws to encourages corporate gender diversity or requires the minimum number of female directors. Policymakers must also consider the nature of companies' ultimate controllers; Because state control over companies has conflicting effects on the regulatory effectiveness of board gender diversity.

The aim of the research is to design a model of Support Management Information Systems for penetration strategies of Iranian beverages to international markets and validation it. In this research, a combination of interviews with three-stage coding of grounded theory and questionnaires; therefore, this research is mixed. The statistical population of this research includes experts in the field of marketing international products, and according to the research objective, the sampling in this research is purposeful. The sample size in this research was selected to be 10 people based on the snowball sampling method. The research findings identified 8 factors, including Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. The research results showed that for success and penetration in international markets, Iranian beverage companies need to pay special attention to Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. From competitive analysis and identifying market trends to developing new products and using natural materials, all these factors can help optimize marketing strategies. Furthermore, adapting to different cultures and understanding local needs can play a significant role in the success of marketing strategies. Additionally, the use of new technologies and optimization of managerial processes can improve customer relationship management and increase productivity. Ultimately, analyzing consumer behavior and identifying new opportunities can help identify and exploit market opportunities and lead to the sustainable growth and development of Iranian companies in international markets.

The present study was conducted to design and validate the model of exit from organizational mobbing in the Education Organization. It is an applied-developmental research. In terms of how to collect data, it is a cross-sectional survey. To achieve the research purpose, the exploratory mixed research design was employed. Qualitative meta-synthesis was used to identify the model categories and the partial least squares approach was utilized to validate the model. Data analysis in the qualitative phase was conducted via Maxqda software and in the quantitative phase via the Smart PLS software. The statistical population included managers and employees of the Education Organization. The sample volume was estimated equal to 140 persons by means of Cohen's statistical power analysis. Cluster-random sampling was used for sampling. Finally, the final indicators were categorized into 13 main categories and 72 subcategories. Conflict management and stress management led to exit from organizational mobbing in the Education Organization through improving the professional capability of employees, organizational intimacy, and emotional intimacy.

One of the methods to apply preferred information of the decision maker (DM) in the process of evaluating the efficiency of banks is the method of production trade-offs in data envelopment analysis (DEA). In this paper, we propose a two stage network DEA framework for incorporating value-judgments in the form of production trade-offs to analyze the efficiency of banks. We obtain technical and cost efficiency from banks based on bank manager's opinion. We use the production trade-off method to consider the importance of each of the inputs, intermediate measure and outputs relative to each other to evaluate the performance of commercial banks. We show that by changing the production trade-offs matrix, the technical and cost efficiency scores of banks also change. We propose efficient targets for inefficient banks. At the end, we bring the results of the paper.

The intelligent sales management system in Metaverse is the concept of performing sales operations, using smart contracts, machine learning, intelligent process automation and direct monitoring of all network members in Metaverse.The aim of the current research is to provide a model of intelligent sales management system in Metavers.

In the qualitative research, the statistical population includes experts in the fields of business management and information management, and the sample size was calculated and carried out according to the theoretical saturation point of 14 people using the snowball sampling method. Data collection was done through semi-structured interviews with experts and analysis. Data were collected using open, central and selective coding method.

The findings obtained in the qualitative research showed 112 codes, 29 concepts and 9 categories, which led to the presentation of an intelligent sales management system model in Metaverse.

This research led to the presentation of a new model of intelligent sales management system.
Keywords: Intelligent management system, Metaverse, Foundation data.

 Within marketing literature, a widely accepted notion indicates that strategies in marketing significantly differ between business-to-business (B2B) and business-to-consumer (B2C) models. This study thoroughly investigates brand loyalty, examining the nuanced differences in methodologies for building brand loyalty specifically within B2B frameworks, aiming to develop a model tailored for B2B enterprises.

 The research utilizes a sequential exploratory mixed-methods approach. The initial qualitative phase involves systematic reviews and meta-synthesis to identify factors influencing brand loyalty. The subsequent quantitative phase employs techniques such as structural equation modeling (SEM) to analyze the impact of various factors on brand loyalty across different business models. Finally, interviews are conducted to gain insights into tailored strategies that enhance loyalty in B2B contexts. Data for the literature review will come from reputable domestic channels, including academic portals, alongside foreign databases like Scopus and Web of Science. The second phase will gather information from diverse companies in the insurance industry, utilizing convenience sampling for analysis. The third phase targets business experts in B2B settings, selected through purposive judgment sampling to ensure relevant insights are gained.

 The initial phase reveals ten critical factors that contribute to brand loyalty in B2B markets. These factors encompass customer satisfaction, perceived value, switching costs, trust, perceived quality, personalized interactions, perceived support, brand image, and commitment. Analysis indicates significant differences in factors influencing brand loyalty between B2B and B2C models. The study concludes with a collection of tailored strategies essential for fostering customer loyalty in B2B operations, including developing strategic frameworks and adopting stringent quality standards.

 This research expands the understanding of loyalty-building strategies across diverse business models, offering insights that enhance the existing body of knowledge. By proposing a specialized loyalty model for the insurance industry, the study equips practitioners with practical tools to improve operational efficiency and competitive advantage.

The objective of this research is to contribute to the advancement of knowledge in the field of automated accounting and auditing, with a particular focus on the use of blockchain technology. Furthermore, the research will seek to establish a theoretical, conceptual and ethical framework for the aforementioned processes. This research employs a teleological approach, which is defined as a method of inquiry that seeks to identify the purpose or end result of a phenomenon. To this end, a systems approach in the modern approach of Future Technology Analysis (FTA) was used to examine the fundamental concepts underlying blockchain and its applications in accounting and auditing. The fundamental concepts underlying automated accounting and auditing on the blockchain platform were organized and explained within a scientific framework that includes theoretical, conceptual, and ethical considerations. Based on the aforementioned findings, a conceptual, theoretical, and ethical framework was developed and elucidated based on content analysis derived from an understanding of the essential elements of the topic, its underlying rationale, and its operational mechanics. This was accomplished through the use of coding in Atlas.ti v9 and ConceptDraw software. Blockchain capabilities provide a platform for automated accounting and auditing in a scientifically, practically, and logically rigorous manner. The evolution of this research was meticulously designed and presented as a conceptual, theoretical, and ethical framework. The features, alterations, and potentialities of automated accounting and auditing on the blockchain technology platform collectively reinforce the necessity for further investigation, as they demonstrate the significant advantages that this technology offers in comparison to traditional methods. This research takes a novel, forward-looking approach and envisions the use of automated accounting and auditing on the blockchain technology platform. It presents, for the first time, comprehensive scientific frameworks and a systematic model for integrating the understanding of concepts, foundations, processes, and norms.

In today’s global business vision, the concept of “Intangible Capitals” has become a central tool to strengthen the value and credibility of firms. Intangible Capitals include non-physical assets like intellectual capital, intellectual property, brand reputation, and employee skills which are crucial for economic growth and firm performance. The purpose of this research is to comprehensively evaluate the impact of intangible capitals on various dimensions of credit profile, including qualitative indicators, quantitative indicators, intelligence indicators and investment indicators, considering the mediating role of the company's performance and the moderating role of the risk management framework and political connections. This paper uses the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, which allows detailed analysis of the complex relationships between the involved variables. Data has been collected through surveys, enabling a quantitative evaluation of the impacts and interdependencies. The results indicate that Intangible Capitals have a positive and significant impact on credit profile's dimensions.

The energy sector is a vital pillar of economic development of any country. The government and the private sector are exploring efficient energy sources, and for this purpose, various governments have specified carbon-related targets considering the existing realities. In such circumstances, manufacturing companies are under pressure to improve their energy performance. In these circumstances, reducing energy loss from production systems is very important. The aim of the present study is to identify the factors affecting energy loss in the manufacturing industry and to provide a suitable model for energy efficiency and the development of renewable energies in the manufacturing sector. The research method is mixed. The study sample consisted of 148 experts in manufacturing industries affiliated with the Electronic Industries Company in Shiraz. Data analysis was performed using pls software. The results show that reforming the infrastructure related to renewable energies, paying the initial costs of technology adoption, supporting policies, technological innovations, and inter-sectoral cooperation in technology can be solutions for the development of renewable energies in the manufacturing sector.