مطالب

As one of the driving forces of the modern economy, small and medium businesses play a significant role in improving employment opportunities, encouraging the increase of exports, and strengthening technological innovations. The purpose of this research is to present the branding model of consumer goods with a social responsibility approach. The research is exploratory in nature and mixed-in approach. In the qualitative part of the research and using the Delphi method, 30 university experts in the fields of management and marketing, organizational experts, management, and economics included senior managers, professors, and related to the field of management and economics. The quantitative section is an applied research purpose. Using the designed questionnaire after its validation process, it was distributed among the statistical sample (small and medium business experts) and finally led to the extraction and identification of variables. The statistical population was 5450 people, based on Cochran's formula, 357 people were randomly selected as a sample. The variables were identified using the Delphi method, and finally, the model was validated using the smart.pls, software. Based on research literature and experts' opinions, a total of 62 factors were identified. The fuzzy Delphi approach was used to screen the indicators and identify the final indicators, 55 indicators were extracted in the first round, 51 indicators in the second round, and 46 indicators in the third round. The identified barriers were identified in four dimensions, sales management, reasonable price, customer needs, and high accessibility, which have been assigned the first to fourth ranks. Validation of the model also showed that the numerical value of the GOF index was equal to 0.546, which is a strong index and shows the overall high quality of the model. Therefore, based on the results obtained from the research findings, it is suggested that arrangements be made based on knowledge and communication and information innovations to promote the branding of consumer goods with a social responsibility approach.

The construction of biophilic residential complexes is one of the new approaches to increasing the nature of the residents of residential complexes whose benefits will lead to better people's life. In recent years, in the field of architecture, biophilic residential architecture has been paid special attention and tries to consider the link between architecture and nature further. This study aims to investigate the theoretical modeling of the components affecting the biophilic design of the intervening spaces of residential complexes and the design of the relationships of these factors. The research method is descriptive-analytical in terms of applied results. A qualitative research approach was used through systematic review and purposive sampling to identify the studied components. In the section on interpretive structural modeling, expert academic opinions in architecture and Urbanism have been used through the Delphi method. Data collection tools are interviews and a two-way questionnaire, and a face validity criterion was used to assess the validity of the questionnaire. The relationships between the components affecting the biophilic design of the spaces between residential complexes have been determined using a new analytical methodology called interpretive structural modeling (ISM) and analyzed seamlessly. The findings showed that the relationship with natural systems with nine penetration power is the most effective and the strongest motivator of the biophilic design of the spaces between residential complexes and acts as the underlying stone of the model. Also, the order and complexity component with the penetration power of 4 has the least effect.

As the digital landscape continues to reshape the banking industry, understanding the factors influencing customer loyalty in online banking becomes paramount. This study investigates the intricate relationships between e-satisfaction, e-loyalty, and the moderating effects of consumer perceived risk and skill. Drawing on a sample of 168 customers from selected branches of Bank Mellat in Mashhad, statistical analyses were conducted using SPSS and Smart-PLS. The results reveal a direct and positive impact of e-satisfaction on e-loyalty, elucidating the fundamental role of customer contentment in fostering loyalty in the online banking domain. Moreover, the study uncovers a nuanced interplay, demonstrating that the relationship between e-satisfaction and e-loyalty is contingent on the levels of consumer perceived risk and skill. High perceived risk and low skill levels diminish the impact of e-satisfaction on e-loyalty, highlighting the need for tailored strategies for these customer segments. This research contributes to the evolving understanding of e-loyalty dynamics, emphasizing the significance of customization, security, convenience, delivery, communication, and website aesthetics in shaping customers' e-loyalty. The findings provide actionable insights for banking institutions to refine their online platforms, fostering a more personalized, secure, and engaging digital banking experience to enhance customer loyalty.

Studying and understanding the social, economic, and political structures of Iron Age communities is a significant aspect of archaeological research of this period. Until now, much of the archaeological research on the Iron Age in Iran has focused largely on the typological study and comparison of findings from cemetery excavations, with less attention given to the study and reconstruction of the various aspects of the social, economic, and political structures of communities from this period. Most researchers to date have regarded the people of the Iron Age in Iran as communities lacking organized administrative and political structures, and based on the limited number of settlement sites, have described them as nomadic herders. However, the study, interpretation, and analysis of findings from settlement sites of this period in Central Iran have revealed new perspectives on the presence of socio-economic and political institutions and organizational structures. The discovery of a piece of grey pottery with a cylinder seal impression at Chaltasian Tepe, Varamin, alongside other evidence from significant and large settlement sites of the Iron Age, provides us with evidence of socio-economic institutions during the Iron Age

The purpose of this article is to present the evolutionary model of loan sales using collective intelligence and meta-heuristic algorithms (bird flight algorithm). In terms of method, this research is in the category of quantitative research, and in terms of purpose, it is included in the category of applied research. The statistical population includes all active companies admitted to the Tehran Stock Exchange. This research has been investigated between 2011 and 2019 for active companies admitted to the Tehran Stock Exchange. The method of data collection is through library study and financial data of companies admitted to the stock exchange by referring to the financial statements and explanatory notes with the financial statements, and it has also been compiled using the Rahavard Novin software. Also, with the help of EViews 9 and MATLAB software, he presented a borrowing sales model, and in the next step, with the help of MATLAB software and the flight of bird's algorithm, he presented an evolutionary model of borrowing sales, in the end, by comparing the step-by-step regression model and the borrowing sales model. The findings showed that the borrowing sales model with the help of the bird flight algorithm has a higher efficiency.