Journal of Management and Business Solutions

Recent developments in digital media indicate that artificial intelligence, as a strategic technology, can play a significant role in enhancing the production, processing, and management of news content. The present study was conducted with the aim of empirically analyzing and validating a management model for the application of artificial intelligence in online news platforms in Khuzestan Province. This research employed an exploratory mixed-methods design. In the qualitative phase, the components of the model were identified through semi-structured interviews with media managers, editors-in-chief, experienced journalists, and technical experts. Qualitative data were analyzed using a grounded theory approach through open, axial, and selective coding. In the quantitative phase, a researcher-developed questionnaire based on the qualitative findings was designed using a Likert scale and distributed among a purposively selected sample of media professionals. The validity of the instrument was assessed through expert judgment and construct validity indices, while its reliability was evaluated using Cronbach’s alpha and composite reliability. The findings revealed that the management of artificial intelligence applications in online media encompasses multiple dimensions, including content production, data analysis, personalization, publication management, and ethical governance. Consequently, the development of a localized and structured model for the responsible utilization of artificial intelligence in online media is essential.

With the excessive expansion of governments, substantial costs have been imposed on the administrative systems and public management structures of various countries. Consequently, government downsizing has emerged as one of the primary policies and strategic programs aimed at reducing the size of government and controlling public expenditures, attracting the attention of policymakers and scholars. Therefore, the present study was conducted with the objective of explaining a downsizing model for state-owned enterprises in Iran. The research adopted a mixed-methods approach and was carried out in two qualitative and quantitative phases. In the qualitative phase, the study population consisted of academic experts and managers of state-owned enterprises who possessed either research or practical experience in the field of state-owned enterprise downsizing. Sampling was conducted using purposive sampling and theoretical saturation. Accordingly, theoretical saturation was achieved after 17 interviews, and data were analyzed using the coding method proposed by King and Horrocks. Furthermore, to validate and assess the fit of the research model, confirmatory factor analysis and structural equation modeling were employed using SPSS version 19 and SmartPLS version 3 software. The quantitative study population consisted of managers, experts, and employees of the Sistan and Baluchestan Regional Electric Company. Based on Cochran’s formula, a sample size of 148 participants was determined. As a result, 24 interpretive codes identified during the thematic analysis phase were classified into six main dimensions within the framework of the proposed research model. In addition, the findings of the quantitative phase supported the study hypotheses, confirmed the adequacy of the proposed model, and demonstrated an acceptable model fit.

In recent years, and with the rapid advancement of technology, an emerging phenomenon called electronic banking has emerged that affects the lives of all people. Along with the many benefits that electronic banking has brought to people, the field of fraud and money laundering has also entered this field, which helps fraud in banking transactions to be carried out very accurately and systematically in the field of electronic banking. What is important is a precise, fast and calculated confrontation with profiteers who move large amounts of money in this way and enter it into their personal accounts with the utmost intelligence.

In this article, while introducing data mining and its techniques, we analyze and discuss the measures taken in the field of fraud detection in various sectors, especially banking. After that, we introduce 3 types of the most widely used data mining algorithms and implement them on bank transactions in the CCFD benchmark dataset. Finally, after examining the performance of the algorithms, the best algorithm in terms of its performance in fraud detection is introduced.

In today’s turbulent environment, organizational sustainability has become a strategic necessity for survival and competitiveness in large-scale and complex industries such as the petrochemical sector. The primary objective of this study was to analyze the causal relationships between sustainable performance management dimensions and the implementation of innovative and economic production methods in Iran’s petrochemical industry under sanctions conditions. In terms of purpose, this research is applied, and in terms of nature, it is a descriptive–analytical study based on a quantitative approach. The statistical population consisted of senior managers, production experts, and specialists in the fields of sustainability and innovation within the country’s petrochemical companies. Using Cochran’s formula, a sample size of 384 participants was determined. Data were collected through a researcher-developed questionnaire and analyzed using Pearson correlation analysis, multiple regression analysis, and Structural Equation Modeling (SEM). Furthermore, to enhance prediction accuracy and prioritize indicators, the metaheuristic algorithms Adaptive Neuro-Fuzzy Inference System (ANFIS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were employed. The findings revealed that the environmental dimension, sustainable innovation, economic dimension, and sustainable supply chain management exerted the strongest effects on the implementation of innovative production methods, whereas the human rights and diversity and inclusion dimensions did not demonstrate statistically significant effects. The results further indicate that emphasizing resource management, green technologies, and supply chain resilience can facilitate the advancement of resilience and sustainability in Iran’s petrochemical industry under sanctions conditions.

Structural transformations in the knowledge-based economy and the growing role of intangible assets have turned brand valuation into a strategic issue in both marketing and finance. Despite the expansion of international models and standards, the existing literature still suffers from conceptual and methodological gaps between financial and marketing approaches, ambiguity regarding the mechanism through which perceived value is converted into financial value, and the absence of integrated process-oriented frameworks. The present study aimed to develop a comprehensive model for brand valuation based on a meta-synthesis approach. This research was conducted using a qualitative approach grounded in the interpretive paradigm. The Sandelowski–Barroso meta-synthesis method was employed to systematically analyze 32 specialized brand valuation models and 63 معتبر scientific articles published between 2010 and 2025. The coding process included 215 initial codes, which were refined and merged into 66 open codes, followed by the addition of 15 empirical codes and the final extraction of 82 ultimate codes. Subsequently, 16 axial categories and 5 selective themes were identified. The findings indicate that brand value is a multilayered and process-oriented construct that begins with customer perceptions and experiences, is translated into cash flows through market behavior and competitive advantage mechanisms, and is ultimately reflected in the strategic and financial outcomes of the organization. The proposed model consists of five main layers: institutional infrastructures and brand assets, perceived value, market behavior and performance, financial value and cash flows, and strategic outcomes. By presenting a layered and process-oriented model, the present study reduces the gap between financial and marketing approaches and provides an integrated basis for decision-making by Chief Marketing Officers (CMOs) and Chief Financial Officers (CFOs). In addition to its theoretical coherence, the model also demonstrates operational applicability and the potential for empirical testing in quantitative research.

The present study aimed to develop a model of the factors influencing the achievement of competitive advantage for by-products of the sugar industry. The research was conducted using both qualitative and quantitative approaches. In the qualitative phase, a combined content analysis method (inductive–deductive) was employed, while the quantitative phase utilized a causal-correlational design. The statistical population in the qualitative phase consisted of 20 participants, including senior managers and industry researchers, who were selected through purposive non-probability sampling. In the quantitative phase, 151 experts participated through a complete census approach. The findings of the qualitative phase indicated that competitive intelligence, organizational resources, entrepreneurship, governance, and networking play significant roles in achieving competitive advantage for sugar industry by-products. Subsequently, the causal relationships among these factors were analyzed using Interpretive Structural Modeling (ISM). The results revealed that governance serves as the primary driving factor and exerts influence on both networking and entrepreneurship. Networking and entrepreneurship mutually influence one another, and both affect organizational resources. Organizational resources, in turn, act as a driver of competitive intelligence and competitive advantage. These relationships were further examined through Structural Equation Modeling (SEM). The results demonstrated that governance directly and strongly supports networking and entrepreneurship. However, the relationships between networking and entrepreneurship, as well as between networking and organizational resources, were not confirmed. Organizational entrepreneurship was found to have a direct and positive effect on organizational resources. Competitive intelligence was directly and positively influenced by organizational resources. Ultimately, organizational resources were shown to exert a strong and direct positive effect on enhancing competitive advantage. The measurement model was validated through the assessment of convergent validity (AVE), discriminant validity, and reliability indicators, including factor loadings, Cronbach’s alpha, and composite reliability. Furthermore, the adequacy of the structural model was confirmed using the coefficients of determination (R²), predictive relevance (Q²), and goodness-of-fit (GOF) indices. The findings indicate that the role of government in the development of by-products is highly significant and serves as the primary driving force. In addition, within organizations, competitive advantage depends on marketing strategies and competitive dynamics. Organizational resources can support market development by providing high-quality products at lower production costs.

This study was conducted with the aim of identifying the strategies and consequences of the financial and behavioral effects of financial decisions on corporate performance by employing a qualitative approach, grounded theory methodology, and the Barney Glaser theory framework. Through 14 semi-structured interviews with experts in the fields of finance and accounting and data analysis in three stages of open, axial, and selective coding, the final research model was developed. The findings indicated that five macro-level strategies, including the development of a comprehensive financial strategy, financial transparency and reporting, the use of modern technologies, human resource management, and attention to social responsibility, play a decisive role in optimizing the effects of financial decisions. The implementation of these strategies leads to five major categories of outcomes, including performance analysis and evaluation, strengthening communications and interactions, improvement of financial outcomes, liquidity and cash flow management, and enhancement of investor confidence. The proposed model demonstrates that simultaneous attention to financial, behavioral, and social dimensions in financial decision-making, in addition to improving classical financial indicators, contributes to strengthening social capital, stakeholder satisfaction, and the long-term performance of firms. By providing an integrated and indigenous framework, this study takes a step toward filling the existing gap in the literature and can serve as a suitable basis for effective financial decision-making in Iranian companies.

Value co-creation in the online retail industry has emerged as an innovative approach in customer relationship management that emphasizes active interaction and the joint creation of value between customers and organizations. The objective of this study was to identify the dimensions and components of value co-creation in online retailing and to present a comprehensive conceptual model based on existing research evidence. This study was conducted using a qualitative approach and the meta-synthesis method. A total of 62 studies related to the research topic were systematically analyzed. Data were extracted through concept coding and subsequently organized into components and major dimensions during the synthesis stage. The analysis of the studies led to the identification of five main dimensions of value co-creation, including infrastructural and technological, behavioral and interactive, organizational and managerial, value creation and market, and sustainability and social responsibility dimensions. The first dimensions were identified as enabling factors, the behavioral dimension as the core component, the value creation dimension as the outcome, and the sustainability dimension as the moderating context of the model. The final model demonstrates that value co-creation in online retailing is a multidimensional phenomenon shaped through the integration of digital technologies, organizational capabilities, customer interactions, and commitment to sustainability. This model can serve as a theoretical framework and a practical guideline for enhancing customer experience and developing sustainable value-creating strategies.