Journal of Management and Business Solutions

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.

With the expansion of digital financial technologies, the issuance of the Digital Rial as a new form of central bank money has created new challenges and opportunities for monetary policy. The present study aims to investigate the effects of the issuance and design of the Digital Rial on the country’s macroeconomic variables, including inflation, the output gap, and the policy interest rate. To analyze these effects, a Dynamic Stochastic General Equilibrium (DSGE) model with heterogeneous households is developed, in which the Digital Rial is modeled endogenously under two alternative regimes: non-interest-bearing and interest-bearing. The calibrated model is solved for the 2011–2024 period, and four policy scenarios are compared using dynamic model simulations, including the baseline scenario, the widespread non-interest-bearing Digital Rial issuance scenario, the interest-bearing and managed Digital Rial scenario, and the rapid and high-risk adoption scenario. The simulation results indicate that, in the baseline scenario, the Digital Rial functions solely as a payment instrument. The widespread issuance of a non-interest-bearing Digital Rial reduces the effectiveness of monetary policy by weakening the sensitivity of money demand to the interest rate and consequently increases fluctuations in inflation and the output gap. In contrast, the design of an interest-bearing and managed Digital Rial strengthens the interest rate transmission channel, contributes to macroeconomic stabilization, and improves the performance of the Taylor rule.

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.

The increasing reliance on e-commerce has led to a surge in customer-generated content, making sentiment analysis a crucial tool for understanding consumer preferences. This study presents a novel aspect-based sentiment analysis (ABSA) approach to extract fine-grained insights from customer reviews across multiple product categories, including lingerie, women’s clothing, men’s clothing, kids’ apparel, home & furniture, and flowers & plants. We employ exploratory data analysis (EDA) to uncover key patterns in customer sentiment and utilize a transformer-based model with contrastive learning to enhance sentiment classification accuracy. Our approach effectively captures sentiment variations across nine different aspects, including quality, value for money, style, fit, material, warmth, comfort, support, and how well the product fits. The results demonstrate that our model outperforms traditional sentiment analysis methods, offering a more structured understanding of customer feedback. By analyzing customer sentiments from reviews, businesses can identify dissatisfaction patterns that may contribute to customer churn. Addressing these issues proactively can help improve customer retention and loyalty. These insights can help businesses refine their product offerings and improve customer satisfaction across diverse e-commerce categories.

Price increases under unstable and inflationary economic conditions represent one of the major challenges for firms operating in the construction industry, particularly companies engaged in the production and supply of ready-mixed concrete. The manner in which such price increases are announced and the design of the related communication message have a direct impact on customer acceptance and the maintenance of stable relationships with stakeholders. Using a quantitative approach, this study identifies and designs an effective model for price increase statements in the ready-mixed concrete industry. The findings indicate that price increase statements are not merely tools for information dissemination but also form part of organizations’ communication strategy. Moreover, the key components influencing customer acceptance include transparency, empathy, appropriate timing, reference to external factors, provision of incentives, and the establishment of channels for direct interaction. The results of statistical analyses showed that transparency and empathy had the greatest effects on customer acceptance. These findings emphasize that price increase statements should be designed as communication tools that simultaneously take into account economic requirements as well as customers’ psychological and social considerations.

This study examines the impact of the psychological contract on accountants’ willingness to report financial misconduct. In terms of methodology, the study is exploratory and, from an analytical perspective, is considered a mixed-methods research. Due to the lack of a coherent framework regarding accountants’ psychological contract, thematic analysis was employed to identify study themes through a review of prior research and interviews with experts. Subsequently, the Delphi method was used to analyze the reliability of the identified dimensions, and finally, in the quantitative phase, the research hypothesis was tested using structural equation modeling and Smart PLS3 software. Data related to the accountants’ psychological contract were collected using a researcher-developed questionnaire, while a standardized questionnaire was used to measure willingness to report financial misconduct. This mixed approach systematically examined the relationship between metacognitive beliefs and professional judgment. The qualitative findings revealed four overarching themes (accountants’ perceptual framework of organizational obligations, interactional structures between accountants and the organization, ethical and professional requirements in the workplace, and support frameworks for accountants), twelve organizing themes (accountants’ perceptions of job security and stability, psychological and emotional support, professional growth and skill development, work–life balance, transparency in organizational communication, fairness in the distribution of resources and opportunities, respect for ethical values, organizational commitment to financial obligations, mutual trust between accountants and the organization, and accountants’ expectations regarding attention to individual needs, a positive work environment, and supportive programs for mental well-being), and thirty-six basic themes. Subsequently, to assess the reliability of the identified organizing themes and to conceptualize them within the context of accountants’ psychological contract, the Delphi method was applied. Based on the evaluation of the mean scores from the first and second Delphi rounds, all dimensions were confirmed. Furthermore, the results of the research hypothesis indicated that accountants’ psychological contract has a positive and significant effect on their willingness to report financial misconduct. The findings of this study indicate that strengthening accountants’ psychological contract can increase their willingness to report financial misconduct, which in turn contributes to improving financial transparency and public trust. From a policy perspective, these findings emphasize the necessity of creating supportive work environments, developing protective policies for whistleblowers, and strengthening an organizational culture based on ethics and justice.

The aim of the present study was to examine the content validity of auditors’ metacognitive beliefs and their reflection on auditors’ professional judgment. In this study, using thematic analysis and expert interviews, the components of auditors’ metacognitive beliefs were identified. In the quantitative section, the research hypothesis was tested using structural equation modeling and Smart PLS3 software. Data on auditors’ metacognitive beliefs were collected through a researcher-made questionnaire, and a standard questionnaire was used to measure professional judgment. This mixed-methods approach systematically examined the relationship between metacognitive beliefs and professional judgment. The qualitative findings of the present study indicated four overarching themes (1- enhancement of auditors’ professional self-awareness, 2- professional interactions and team coordination, 3- continuous learning and professional development, and 4- professional ethics and accountability), eleven organizing themes (the role of self-awareness in improving audit quality, risk management in a self-aware environment, improvement of cognitive processes in a professional environment, team coordination in a self-aware environment, professional response to criticism and feedback, interaction with emerging technologies in a professional environment, and auditors’ professional development in a self-aware environment), and forty-three basic themes. Furthermore, the findings from the quantitative section showed that auditors’ metacognitive beliefs have a positive and significant effect on their professional judgment. The results of this study indicate that metacognitive beliefs play a decisive role in improving auditors’ professional judgment and help them make more accurate and less error-prone decisions when facing ambiguities and complexities in the auditing environment. These findings not only provide a deeper understanding of the cognitive and metacognitive processes influencing professional judgment, but also offer a practical framework for policymakers to enhance audit quality and increase public trust in financial reporting by designing training programs and professional standards based on strengthening metacognitive beliefs. Moreover, this study represents an important step toward developing auditors who are not only equipped with technical knowledge but also possess the metacognitive capabilities necessary to address complex professional challenges.

ABSTRACT

The objective of this study was to identify and prioritize the components explaining financial supply chain management for the sustainable development of industrial small and medium-sized enterprises, and the research method was sequential qualitative. The participants in the identification phase included faculty members in the fields of financial engineering, financial management, industrial management, and business management at higher education institutions, senior and middle managers, and subject-matter experts in small and medium-sized enterprises across the country, as well as scholars and specialists in the field. In the prioritization phase, participants included faculty members in the aforementioned disciplines at higher education institutions and senior managers of small and medium-sized enterprises in Mazandaran Province. In the identification phase, 21 experts were selected using snowball sampling, and in the prioritization phase, 16 experts were selected through purposive sampling. For data analysis, the grounded theory method with the Corbin and Strauss (1998) approach was employed in the identification phase, using open, axial, and selective coding through semi-structured interviews. In the prioritization phase, the Delphi method based on the Helmer and Dalkey (1997) approach was applied over three rounds using an expert evaluation checklist in SPSS software. To establish validity and reliability in the identification phase, necessary assessments including credibility (expert review), confirmability (expert audit), and intersubjective agreement (0.81) were utilized. In the prioritization phase, the content validity of the expert evaluation checklist was confirmed in terms of clarity and comprehensibility by several academic and organizational experts, and its reliability was calculated and confirmed at 0.84 using the test–retest method. According to the results, the study’s paradigmatic model comprised 11 main categories and 27 subcategories, including causal conditions (financial and credit constraints; structure and quality of the supply chain; environmental and institutional pressures; technological maturity and financial digitalization; and behavioral and managerial characteristics of firms), contextual conditions (structural characteristics of firms; social capital and communication networks; level of organizational culture and learning; infrastructure and support services; and market conditions and industry demand), the core category (central phenomenon) (financial supply chain integration and alignment with sustainable development principles), intervening conditions (government support and policymaking; alternative and innovative financial resources; predictability of the macroeconomic environment; maturity of the banking system and financial institutions; and flexibility of suppliers and customers), strategies (diversification of financing sources; digitalization of financial processes; strengthening participation among supply chain members; improvement of financial and credit risk management; and institutionalization of sustainable development principles), and consequences (improvement of financial performance and firm liquidity; enhancement of resilience and financial sustainability; strengthening of competitive advantage in the market; development of innovation and technological capabilities; and sustainable development and social responsibility), along with 118 indicators.