فصلنامه مطالعات مدیریت کسب و کار هوشمند
پیاپی 51 (بهار 1404)

Augmented reality technology has emerged as one of the main trends in the digital market in recent years. This innovative technology, due to its appeal and potential, has been repeatedly applied in innovative businesses. The aim of this study is to conduct a systematic and comprehensive review using a bibliometric approach on the citation data of literature related to purchase decision-making based on augmented reality technology. A pragmatic paradigm allowed the researcher to systematically collect citation data from the Scopus database and preprocess it following the standard PRISMA protocol. Ultimately, 239 studies were included in the bibliometric analysis using R Studio and Vosviewer software. The final results identified the most influential documents, authors, journals, organizations, and countries, and highlighted key points regarding buyer behavior and purchase decision-making with augmented reality in virtual businesses through interactive patterns between elements and content analysis of the data. Additionally, it is noteworthy that this concept mainly revolves around five primary areas: virtual and psychological experiences of buyers in online shopping with augmented reality; the impact of artificial intelligence on new technologies in buyer behavior; interactions of technology, perceived value, and cognition on buyer experience in retail using mobile augmented reality; the role of augmented reality technology in purchase decision-making and smart shopping in the virtual space. The influential school of thought on augmented reality technology in buyer decision-making is associated with the stimulus-organism-response theory, which forms the intellectual foundation of this field.

Digital transformation in the banking sector is recognized as a critical driver of growth and change. This study investigates the anticipated outcomes (both outputs and impacts) following the implementation of digital banking policies, utilizing an exploratory and applied-developmental approach. The research adopts a mixed-method design, incorporating both qualitative and quantitative phases. In the qualitative phase, experts in banking and policymaking were interviewed using purposive sampling, reaching theoretical saturation after 25 interviews. In the quantitative phase, data was collected from 354 bank managers and professionals through a researcher-developed questionnaire. The data was analyzed using thematic analysis for the qualitative part and the Partial Least Squares (PLS) method for the quantitative part. The results indicate that the initial outcomes of digital banking policy implementation include improvements in revenue and market positioning, cost efficiency, customer acquisition and satisfaction, bank infrastructure, data management, banking products and services, banking technologies and channels, and risk management. Additionally, the long-term and sustainable impacts of digital transformation in the banking system encompass transparency and justice, the creation of new opportunities, the future outlook of banking and the economy, digital leadership and mindset, social and environmental impacts, long-term policymaking and planning, as well as internal and external networking.

Effective knowledge-based processes are essential for companies operating in the information technology industry. These processes rely on the expertise of skilled workers and play a crucial role in the value chain of such organizations. Decision-making is a critical element of knowledge-based processes, highlighting the need to identify decision rules and models accurately. In this paper, we examine the process of identifying and deciding on proposed ideas in the software industry, analyzing decision logs from a leading software company. The Rough sets theory and fast Reduction algorithm are employed to provide a step-by-step approach to data analysis and decision mining. The algorithm identifies vital features used in decision-making and presents the decision model as if-then rules, utilizing existing equivalence rules between data. The results demonstrate that this model can significantly reduce the direct involvement of decision-makers and the duration of the decision-making process.

Shipping industries in ports, as one of the strategic industries, have performed an important role in the optimized management of the transportation business in a country.in particular on country's economy. The future status of port’s business management can be seen in planning , access to new technology in order to smartness, access to logistics, increase in specialized human resources and the impact of ports globalization. For this reason, the ports have to provide their services in a suitable qualification to plan for their development and demands supply.There have been major changes in ships technology that have affected the needs related to the construction and development of the port. Furthermore, the process of these changes will be more than this in the future which will have a direct effects on technology and the port’s facilities, In this article, in order to promote the ports and shipping industry, firstly, the main indicators of green and smart ports are identified by library studding and then interviews are conducted using the thematic analysis system approach. Next, the conceptual pattern of the research was drawn. Consequently, each index in the drawn pattern and the final index are evaluated in MATLAB software by (FIS). So, it is possible to determine the smartness and environmental indicators in the ports of the country for the first time. In this regard, Anzali port, one of the country's most important ports, will be implemented as a real example.

The emergence of advanced technologies alongside the Fourth Industrial Revolution in higher education has gradually introduced new concepts such as digital transformation, digital education, and ultimately the digital university. The digital university is an emerging concept that requires definition, and it can be clarified by identifying its features. Therefore, this research aims to comprehensively study the theoretical foundations of the digital university by outlining its characteristics, enabling a deeper understanding and comprehension in this field, and contributing to the development of studies from both theoretical and practical perspectives. To thoroughly analyze the theoretical foundations of the characteristics of the digital university, a systematic review method was employed. After formulating the research question and establishing the search strategy, 43 relevant scholarly articles published between 2000 and 2022 were identified and analyzed. Through the systematic review of the theoretical foundations and by utilizing open, axial, and selective coding methods, eight characteristics were identified: ecosystem and comprehensiveness, digital curriculum, socialization, digital strategies, digital experience, platform-centricity, data-centricity, innovation, and agility. Each dimension comprises various components that reflect the similarities and differences between traditional universities and digital universities which were approved by the experts. The results of this research can serve as a guide for higher education institutions to evaluate and align their characteristics, determining their position in the move towards digitalization. Institutions can consider these characteristics in their overall management strategies to enhance competitiveness in response to the evolving demands of modern society.

Researches have demonstrated that many organizations leverage the analysis of user-generated opinions and content on social networks to cultivate knowledge and enhance decision-making. This study aims to analyze the financial performance of non-profit organizations by examining user-generated opinions. The dataset comprises 26,714 user tweets from 23 global Twitter accounts and ten years of financial data (2010-2020) from five selected non-profit organizations. The results of topic modeling and sentiment analysis were converted into panel data. These results were analyzed using ordinary least squares (OLS) and dynamic ordinary least squares (DOLS) methods.Findings indicate a significant relationship between user-generated content and the financial performance of non-profit organizations. While positive sentiments did not exhibit a significant impact on financial performance, negative sentiments and retweets demonstrated a negative relationship, whereas likes showed a positive correlation with financial performance. By harnessing insights from user-generated content, non-profit organizations can optimize their content strategies to improve financial outcomes. Nevertheless, it is imperative to consider the adverse effects of negative sentiments and retweets to achieve substantial improvements in financial performance.

Today, the use of social media in small and medium businesses has become a competitive requirement. Some researchers consider entrepreneurship as a social and multi-stage process. This is why businesses try to use social media in the best possible way during these stages with the aim of survival or business development. Entrepreneurial entry is one of the most important stages of the entrepreneurial process that businesses can successfully complete by taking advantage of the benefits of social media. The current research seeks to formulate the theoretical framework of the function of social media in the entrepreneurial entry of small and medium businesses. This research is applied in terms of purpose and from the point of view of documental-meta-composite research. This research is based on 1608 articles of Scopus scientific database during the years 2016 to 2023. After the initial screening, we found 47 articles and finally 15 central articles for extracting findings. In the Meta synthesis method, four main structures were identified and organized along with 11 concepts. The results of this research can serve as a road map for entrepreneurs and business activists during the entrepreneurial process and especially the initial stages of starting a business. On the other hand, the proposed framework can be a theoretical basis for future research in the development of social media applications in the entrepreneurial process.