Research Paper
Management approaches in the field of smart
Mohammad Faryabi; Samad Rahimiaghdam; Zahra Ranjbar Areshtanab; Zahra Ghorbanimoaddab
Abstract
In today's complex and competitive world, startups need strong and up-to-date knowledge management to identify opportunities and create innovation. In this regard, knowledge management can help startups create effective innovations by utilizing accurate information and using it in a timely manner and ...
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In today's complex and competitive world, startups need strong and up-to-date knowledge management to identify opportunities and create innovation. In this regard, knowledge management can help startups create effective innovations by utilizing accurate information and using it in a timely manner and maintain their position in the competitive market. Therefore, the purpose of this study is to examine the impact of knowledge management on the performance of Iranian startups, focusing on the mediating role of digital innovation and the moderating role of strategic flexibility, which has not been examined in previous studies. This study is quantitative and of the type of applied studies. The statistical population includes 1321 startups nationwide. Data was collected through a standard questionnaire and through the opinions of startup managers. Data analysis was evaluated using structural equation modeling and partial least squares. The findings reveal that knowledge management has a direct and positive effect on the performance of startups. Additionally, digital innovation strengthens the relationship between knowledge management and performance as a mediator, while strategic flexibility positively moderates this relationship. This research contributes by introducing a new model to improve startup performance, demonstrating that digital innovation and strategic flexibility are critical factors in enhancing the effect of knowledge management on startup performance.
Research Paper
Data, information and knowledge management in the field of smart business
Mohammadreza Saadi; Mohammad Bashokouh; Golsum Akbariarbatan
Abstract
Objective: Social gamification has been widely used in various industries to increase user engagement and change the rules of engagement in business management. Designing social gamification can help shape user behavior to some extent and increase the level of business performance. Considering the role ...
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Objective: Social gamification has been widely used in various industries to increase user engagement and change the rules of engagement in business management. Designing social gamification can help shape user behavior to some extent and increase the level of business performance. Considering the role and impact of gamification in speeding up the development of businesses, the importance of this issue is highlighted. Methodology: With the aim of providing a model for the role of social gamification in the development of businesses in a descriptive manner, this research developed and validated a conceptual framework with the foundational data method through in-depth semi-structured interviews. The statistical population includes experts and experts in the fields of gamification, online businesses, experts in information science and technology, and social media, among whom 12 people were selected and participated in this study by purposeful sampling. The number of samples follows the rule of saturation. Findings: Causal conditions including (facilitating learning and training, strengthening social interaction, promoting participation motivation, improving work experience and competition), background conditions including (participation and social responsibility, training and development of human resources, marketing and game-like advertising) intervening conditions ( lack of correct understanding of gamification by users, incompatibility of gamification with business goals, incorrect design of gamification), strategies (creativity and innovation, development and continuous improvement of processes, simulation and role playing), consequences including (better analysis and feedback, simplification of issues) complex, business performance improvement, synergy and business growth with gamification, sales and revenue convergence) were categorized.
Research Paper
Management approaches in the field of smart
Hadi Taghavi; Mohammad Mehraeen; Mehdi ShamiZanjani; Alireza Khorakian
Abstract
The digital transformation of the banking sector is essential for survival and competitiveness in the digital age. This study aims to explain the implementation model of digital transformation in Iranian non-governmental commercial banks. As a fundamental and qualitative study, it employs an exploratory ...
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The digital transformation of the banking sector is essential for survival and competitiveness in the digital age. This study aims to explain the implementation model of digital transformation in Iranian non-governmental commercial banks. As a fundamental and qualitative study, it employs an exploratory design to achieve its objective. The research population includes managers, consultants, specialists, and experts involved in digital transformation initiatives within these banks. Using a purposive sampling method, theoretical saturation was reached with 17 participants. Data analysis was conducted using Maxqda software. The findings, based on a paradigmatic model, revealed that causal factors such as competitive pressures, customer expectations, and market dynamics significantly influence banking's digital transformation. Contextual conditions, including environmental and economic factors, employee experience, and organizational culture, provide the foundation for implementation, while regulatory and competitive challenges act as intervening variables. These factors shape strategies and actions, such as customer-centric, operational, ecosystem, and network strategies, which lead to outcomes like enhanced customer experience, improved operational efficiency, revenue growth, greater organizational agility, and innovative business models. This model, tailored to the internal challenges and unique structure of Iran’s banking industry, offers a more flexible approach to implementing digital transformation initiatives.
Research Paper
Data science, intelligence and future analysis
seyed mohammad jafar Esfahani; Mojtaba Palouj; Shohreh Soltani Khankahdani
Abstract
Today, the concept of “smart village” is increasingly recognized as a strategy for integrated rural development worldwide. This study was conducted using an analytical method and seeks to answer the question of how a smart village contributes to integrated rural development and ...
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Today, the concept of “smart village” is increasingly recognized as a strategy for integrated rural development worldwide. This study was conducted using an analytical method and seeks to answer the question of how a smart village contributes to integrated rural development and its effects are on various dimensions of rural development. Based on the results of this study, we found that a smart village encourages local community participation in the process of change and transformation through improved governance and management. Additionally, a smart village will promote economic and human development through the use of digital technologies, and by optimizing the management of natural resources, it will have positive effects on all economic, social, and environmental dimensions of the village. A comparison between smart and digital villages also showed that smart villages have a broader scope of influence, emphasizing sustainability and community participation in social issues, as well as a comprehensive and integrated framework in governance.Introduction: The concept of smart village has been considered as a strategy for integrated rural development and is largely concerned with how rural communities can best use ICT and social innovation to respond to current and emerging challenges. The development of smart villages can significantly help improve the quality of life of residents, while strengthening their communities, increasing their resilience, independence and connectivity. These villages also help to use available resources more efficiently and develop a sense of community and belonging, which can make these areas more self-sufficient and independent.The concepts of smart and digital villages are essentially similar in different countries. Both concepts emphasize the importance of continuously strengthening the scope and maturity of the use of digital technologies in rural areas and enabling the comprehensive and sustainable development of villages in economic, social, political and cultural fields. The terms “smart village” and “digital village” refer to concepts that aim to improve rural development through technology, but they differ in focus and implementation. Smart villages emphasize more on the use of innovative and integrated technologies to improve the quality of life, increase community participation and sustainable development. This approach involves the use of information and communication technologies (ICT) and smart systems to solve local problems and improve public services.On the other hand, digital villages emphasize more on access to digital technologies and the Internet and aim to increase communication and information in rural areas. This concept seeks to provide digital infrastructure and improve access to online services, education and information for rural residents. In general, while both concepts seek to develop rural areas through technology, a smart village emphasizes a more holistic and innovative approach to managing and improving the quality of life, while a digital village focuses more on the access to and use of digital technologies. For example, in Indonesia, smart villages have been developed with specific programs such as local e-commerce platforms and digital governance tools that respond to community needs. These initiatives seek to meet various needs in the areas of governance, economy, and social services in the development of a smart village. In contrast, a digital village focuses primarily on its infrastructure and access to digital technology.Research Methodology: This research, using a library-analytical method, seeks to answer the question of how smart village leads to integrated rural development and what is its effect on different dimensions of rural development? In the first stage, by systematically reviewing relevant articles, books, reports and documents, key concepts such as "smart village", "digital village", "comprehensive rural development", "new technologies" and "information and communication technology in villages" were defined and the theoretical framework of the research was developed. In this regard, 95 initial articles were screened in three stages. Finally, 42 articles were excluded from the three screening steps and 53 were included in the review.Results: The systematic literature review revealed that a key element of the smart village model is community participation. Although smart villages seek to create economic benefits for local residents, the main emphasis is on improving governance through transparency in administrative processes and social development through residents’ participation in planning. This participatory approach can lead to desirable social outcomes, such as creating job opportunities, reducing migration, and increasing interactions with neighboring areas. Economically, smart villages can increase competitiveness, provide direct access to local markets, and increase residents’ incomes. In addition, these villages can also provide environmental benefits, such as improving efficiency and optimal use of resources, and promoting sustainable agricultural practices. By prioritizing community participation and transparent governance, smart villages not only improve the quality of life of residents but also contribute to the overall sustainability of rural areas.Discussion and Conclusion: Smart villages are fundamentally about people. They represent the efforts of rural citizens who take the initiative to find practical solutions to the serious challenges they face, while also capitalizing on the unique opportunities that rural areas offer. The term “smart” implies the conscious use of digital technologies when they are appropriate, not simply because they are trendy. While smart villages often harness the power of digital technologies, these tools are only one of the tools available to rural communities. A key element of the smart village model is the emphasis on community participation, ensuring that residents are actively involved in planning and implementing development strategies that respond to their unique needs. This participatory approach not only strengthens social cohesion; it also enables the local population, especially young people, to harness their resources and talents in sustainable ways. While smart villages are a promising model for rural development, they are not without challenges. Issues such as inadequate infrastructure, social and economic barriers, and the digital divide can hinder the successful implementation of these initiatives. Furthermore, achieving genuine community participation can be difficult due to varying levels of awareness and engagement among residents.In addition to further developing digital infrastructure in villages, the following three main suggestions are presented to develop smart villages in the country:1-Training and empowerment including- Using ICT to hold online classes on various topics to enhance value chain.- Improve various digital skills and empower villagers to use new technologies for agricultural development.2- Developing a database and decision-making platform on big data in the agricultural and rural sectors- Creating and completing a data analysis platform to help planners and policymakers in villages improve resource management and services.- Development of information platforms, including the design of digital information systems to update villagers on up-to-date news, emergency alerts, and government services.3- Designing web-based systems or mobile applications accessible to rural people and farmers-Creating databases about various agricultural products, growth conditions, pests and diseases, and management solutions can help farmers make better decisions regarding crop cultivation and harvesting. Also, market information and prices.-Designing web-based systems or mobile applications that are easily accessible to farmers, rural residents, and other users.-Developing multilingual platforms can be effective that support multiple languages and simplify access to data. Keywords: Rural Development, Smart Village, New Technology.
Research Paper
Management approaches in the field of smart
hossein Mohebbi; saeid Torfi
Abstract
Artificial Intelligence (AI), as one of the most transformative emerging technologies, is rapidly evolving and reshaping various sectors. For Iran, as a developing country, understanding the future trajectories of AI and implementing strategic planning for its optimal development are of critical importance. ...
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Artificial Intelligence (AI), as one of the most transformative emerging technologies, is rapidly evolving and reshaping various sectors. For Iran, as a developing country, understanding the future trajectories of AI and implementing strategic planning for its optimal development are of critical importance. This study aims to explore the future of AI development in Iran using a structural scenario planning approach with a horizon set to 2035. The research is applied in nature and employs a descriptive-survey method for data collection. The statistical population includes university professors, managers, and experts in the AI industry. Unlike previous studies that primarily focused on specific domains of AI, this research adopts a comprehensive and national-level perspective, introducing the first structural scenario framework for AI development in Iran. It identifies and analyzes four key scenarios: the AI Vacuum, the AI Renaissance, the AI Mirage, and AI Transactions. These scenarios are built upon the analysis of critical driving forces, such as governmental policies, advanced technological infrastructure, challenges of technological singularity, geopolitical dynamics, innovation accelerators, and AI applications across industries. The findings reveal that the future development of AI in Iran is highly dependent on governmental support and the advancement of appropriate infrastructure. While critical scenarios demand immediate policy intervention, the more desirable ones offer significant opportunities for sustainable AI growth. These scenarios can serve as a foundation for designing targeted policy strategies, such as a national AI roadmap and the restructuring of innovation support systems, thereby providing a structured framework for decision-making under conditions of uncertainty.
Research Paper
Data, information and knowledge management in the field of smart business
Reza Hosseingholizadeh; Mahmood Alborzi; Abbas Toloie Eshlaghy; Hamid Zargham Boroujeni
Abstract
Forecasting cryptocurrency market trends remains a significant challenge due to its fundamental differences from traditional currencies. This complexity arises from the interplay between conventional financial indicators, advancements in information technology, and government macroeconomic policies influencing ...
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Forecasting cryptocurrency market trends remains a significant challenge due to its fundamental differences from traditional currencies. This complexity arises from the interplay between conventional financial indicators, advancements in information technology, and government macroeconomic policies influencing market acceptance. This study introduces a novel decision support framework that, rather than analyzing individual cryptocurrencies, focuses on the overall acceptance of the cryptocurrency market. The proposed approach enables a more precise and realistic assessment of market trends, facilitating the generation of buy and sell guidance tables for any specified time interval. To achieve this, maximum likelihood estimation and Bayesian belief networks are employed, allowing for a comparative analysis of these methodologies. Additionally, a high-edge-strength Bayesian belief network is constructed from the generated networks to enhance prudent trading decisions. The method is validated using 1155 weekly and 484 daily time points across 21 cryptocurrencies with the highest market capitalization, covering two periods: the last quarter of 2024 and March–May 2025. The findings demonstrate that the proposed framework, with its high precision, accuracy, recall, and model robustness, supports buy and sell decisions with an average accuracy of at least 78% on a daily basis and 64.5% on a weekly basis. This approach offers a valuable tool for navigating the dynamic and uncertain nature of the cryptocurrency market.
Research Paper
Management approaches in the field of smart
Reza Behbood; Ehsan Bagheri; Mohamad Mahdi Zolfaghari Tehrani
Abstract
The development of augmented reality (AR) and virtual reality (VR) technologies has significantly transformed smart building projects, leading to the emergence of mixed reality (MR). This concept serves as a bridge between digital and physical worlds and is considered crucial within the smart construction ...
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The development of augmented reality (AR) and virtual reality (VR) technologies has significantly transformed smart building projects, leading to the emergence of mixed reality (MR). This concept serves as a bridge between digital and physical worlds and is considered crucial within the smart construction ecosystem. However, the adoption of MR technology among Iranian specialists is limited, with few professionals familiar with its advanced capabilities. This research investigates the perspectives of construction industry experts in Iran on the convergence of AR and VR. A mixed-method approach was employed, beginning with a review of relevant literature, followed by designing a Q-methodology survey to gather expert opinions across five specific areas. The data collected through questionnaires were analyzed using content analysis and statistical methods to identify prevailing patterns and trends. Findings revealed that integrating AR and VR can significantly enhance accuracy, reduce costs, and boost productivity. However, challenges such as technical barriers and the necessity for ongoing user training were also highlighted. The research's value lies in its comprehensive analysis of expert opinions regarding MR, which can inform optimization strategies in the construction sector. Ultimately, the study concludes that acknowledging the potential of integrated technologies, along with a focus on human and economic factors, can foster success in this evolving field.
