Research Paper
Management approaches in the field of smart
niloufar hadianfar; Ameneh Khadivar
Abstract
The emergence of artificial intelligence (AI) has sparked the development of a very important technological innovation in the rapidly developing world of conversational services, known as chatbots. In modern business, chatbots have become vital for interacting with customers and optimizing business processes. ...
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The emergence of artificial intelligence (AI) has sparked the development of a very important technological innovation in the rapidly developing world of conversational services, known as chatbots. In modern business, chatbots have become vital for interacting with customers and optimizing business processes. They are used in various fields, including customer service, marketing, sales, internal communications, and many others.Their importance lies in automating and facilitating interaction with users, which leads to improved service and efficiency of various business processes, opening up a wide range of opportunities. This study aims to systematically review research conducted in the field of chatbots and business marketing using a bibliometric approach. For this purpose, 1339 articles from the Scopus citation database were reviewed. The analysis of the articles was performed using VOS VIEWER software. Highly cited authors, institutions, and countries were identified, and 6 main clusters resulting from word co-occurrence analysis were identified: 1. Artificial intelligence and educational and linguistic applications 2. Human-machine interaction and socio-economic impacts 3. Digital transformation and applications of artificial intelligence in services and retail 4. Immersive technologies and their impact on customer experience and digital marketing 5. Attitude, behavioral intention and human experience in interaction with technology and 6. Artificial intelligence and data analysis in social media and crises. Finally, the clusters obtained were reviewed and suggestions for future research were presented.
Research Paper
Management approaches in the field of smart
Sakineh Ebrahimi; Bagher Asgarnezhad Nouri; Hooshmand Bagheri Garabollagh; Ramin Bashir Khodaparasti
Abstract
Encouraging online consumers to engage in voluntary extra-role behavior, referred to as "consumer citizenship behavior," is critical for organizational performance in modern society. With the increasing adoption of gamification in online environments, consumers are motivated to exhibit behaviors like ...
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Encouraging online consumers to engage in voluntary extra-role behavior, referred to as "consumer citizenship behavior," is critical for organizational performance in modern society. With the increasing adoption of gamification in online environments, consumers are motivated to exhibit behaviors like helping others and providing feedback. This study aims to explore the perceived affordances of gamification (autonomy, engagement, self-expression, and competition) on consumer citizenship behavior, with the mediating role of psychological ownership and the moderating role of consumer personality. The statistical population consisted of users of the gamified Snap platform in e-commerce. Since the exact population size was unknown, the sample size was determined as 384 individuals based on Cochran's formula at a 5% error level, selected through non-random convenience sampling. A standardized questionnaire measured variables. Its validity was assessed using construct, convergent, and discriminant validity, while reliability was evaluated via composite reliability and Cronbach's alpha. Data were analyzed using structural equation modeling with Partial Least Squares (PLS) software. Results indicated that perceived affordances of gamification (autonomy, engagement, self-expression, and competition) significantly and positively impact consumer citizenship behavior. Psychological ownership emerged as a crucial factor influencing this behavior in e-commerce. Furthermore, findings confirmed psychological ownership mediates the relationship between perceived affordances of gamification and consumer citizenship behavior. Lastly, the moderating effect of consumer personality on the relationship between psychological ownership and consumer citizenship behavior was validated.
Research Paper
Management approaches in the field of smart
Davood Feizِ; Azim Zarei; Mohsen Arman; Elham Sadat Kia
Abstract
This study examines the impact of artificial intelligence (AI) on social currency in digital marketing. By transforming traditional concepts such as identity, belonging, and loyalty through intelligent technologies, this research analyzes emerging dimensions of social currency and proposes an innovative ...
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This study examines the impact of artificial intelligence (AI) on social currency in digital marketing. By transforming traditional concepts such as identity, belonging, and loyalty through intelligent technologies, this research analyzes emerging dimensions of social currency and proposes an innovative framework for optimizing digital marketing strategies in the AI era. The primary focus is on AI's role in personalization, behavior prediction, and content generation, which has revolutionized the value derived from digital social interactions .Using a qualitative methodology and thematic analysis, data were collected through semi-structured interviews with 16 experts in marketing, management, and AI. The analysis process identified 140 initial codes, 20 organizing themes, and 5 overarching themes: transformation of social values in digital spaces, AI's role in developing social capital, AI's influence on consumer behavior, strengthening long-term customer relationships, and accelerating digital interactions. Findings indicate that AI enriches digital interactions by redefining social currency dimensions and providing tools for behavior prediction and loyalty enhancement. However, challenges such as privacy violations, algorithmic biases, and reduced human touch remain significant barriers. The study recommends that companies implement data analytics systems, conduct training programs, and establish ethical frameworks to manage these challenges and leverage AI's benefits.
Research Paper
Data science, intelligence and future analysis
Arash Ghashami; Mahmood Alborzi; Farzad Movahedi Sobhani; Reza Radfar
Abstract
The success of artificial intelligence (AI) deployment in any organization depends on the success of its business intelligence (BI) systems. This research aims to identify the main scenarios for the development of AI-based banking in the country's banks, based on their success in implementing BI systems. ...
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The success of artificial intelligence (AI) deployment in any organization depends on the success of its business intelligence (BI) systems. This research aims to identify the main scenarios for the development of AI-based banking in the country's banks, based on their success in implementing BI systems. The existing research gap arises because current theoretical knowledge cannot explain the failure of AI projects in banks. To formulate these scenarios, a literature review was conducted to extract 32 drivers from the dimensions of BI maturity, whose positive impacts on the successful development of AI applications had been proven in previous studies. The most prioritized of these drivers were then examined by experts from 12 banks that had experience with both BI system deployment and AI-based banking development programs. This was done using a questionnaire and the Fuzzy Delphi technique. In the first stage, 10 drivers were selected, weighted, and normalized using the COPRAS method, and two drivers were chosen from among them: data quality and the level of data and systems integration. Using these two drivers, four future scenarios were formulated. To identify the most probable scenario, the MABAC technique was employed, and experts predicted the likelihood of each scenario based on the BI maturity scores of their respective banks, using the distance from similarity boundary technique. The main finding of the research is that banks are at risk of Costly and Irretrievable Intelligence in the development of AI applications
Research Paper
Management approaches in the field of smart
Minasadat Mousavi; Abbas ali Rastgar; Mohsen Shafiei Nikabadi
Abstract
Purpos:This study aims to elucidate the mechanisms through which artificial intelligence (AI) impacts human resource management (HRM) from a positive psychology perspective and to propose a hierarchical framework for enhancing employee flourishing.Method:The applied-developmental research employed a ...
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Purpos:This study aims to elucidate the mechanisms through which artificial intelligence (AI) impacts human resource management (HRM) from a positive psychology perspective and to propose a hierarchical framework for enhancing employee flourishing.Method:The applied-developmental research employed a mixed-methods approach. The sample consisted of 15 experts in AI and HRM selected via purposive sampling. Data were collected through semi-structured interviews using an interview guide. Thematic analysis and Interpretive Structural Modeling (ISM) were applied for data analysis.Findings:A five-layer framework was developed encompassing strategic drivers, technological enablers, positive psychological constructs, learning processes, and organizational outcomes. The framework highlights that successful AI adoption requires integrating technological capabilities, algorithmic fairness, and psychological support for employees.Innovation:This research fills a gap in the smart HRM literature by offering a comprehensive, synergistic model that integrates strategic, technological, and psychological dimensions.Conclusion: AI implementation alone is insufficient; it must be accompanied by robust strategic infrastructure, data governance, and psychological empowerment to achieve simultaneous human flourishing and organizational productivity. The proposed framework serves as a practical guide for managers and a foundation for future quantitative studies.
Research Paper
Management approaches in the field of smart
seyed saba sinaei; Maghsoud Amiri; Laya Olfat; Amir Yousefli
Abstract
In recent years, digital transformations have significantly influenced supply chain processes, leading to an expansion of research in this field. Identifying the domains, emerging topics, and research trends within the digital supply chain can greatly assist scholars working in this area. This study ...
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In recent years, digital transformations have significantly influenced supply chain processes, leading to an expansion of research in this field. Identifying the domains, emerging topics, and research trends within the digital supply chain can greatly assist scholars working in this area. This study aims to clarify the conceptual structure of the digital supply chain and identify its research trends and key domains. To this end, a systematic literature review was conducted, collecting scientific articles indexed in reputable databases. After initial screening and applying specific criteria, a final set of selected articles was extracted. These articles were then analyzed using bibliometric analysis techniques, including co-occurrence and bibliographic coupling analyses. The results revealed a gradual growth in digital supply chain research, with increasing focus on technologies such as the Internet of Things, blockchain, and artificial intelligence, as well as themes related to sustainability, resilience, and digital collaboration. Eight conceptual clusters were identified, reflecting the technical, operational, organizational, and human dimensions of digital supply chains. The novelty of this study lies in combining bibliometric analysis with a systematic review of 425 articles, which has led to the identification of new conceptual clusters and the provision of a more comprehensive picture of the technological, organizational, and human dimensions of the digital supply chain. Overall, the findings of this study offer a comprehensive framework that enhances understanding of research trends and supports researchers, policymakers, and industry managers in aligning their future academic and practical directions more effectively.
Research Paper
Management approaches in the field of smart
Maryam Mollabagher; Alireza Hasanzadeh; Mohammad Mehdi sepehri; Abbas Habibelahi; Abolghasem Sarabadani
Abstract
The rapid advancement of digital technologies and the growing burden of neonatal diseases have underscored the need for intelligent solutions in modern healthcare systems. Retinopathy of Prematurity (ROP), a vision-threatening disorder in preterm infants, requires timely, accurate, and structured interventions; ...
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The rapid advancement of digital technologies and the growing burden of neonatal diseases have underscored the need for intelligent solutions in modern healthcare systems. Retinopathy of Prematurity (ROP), a vision-threatening disorder in preterm infants, requires timely, accurate, and structured interventions; yet existing care systems face persistent challenges in infrastructure, clinical processes, stakeholder coordination, and technology integration.This study proposes an organizational architecture framework for a smart ROP surveillance system, developed using the TOGAF ADM methodology. A mixed-methods design was employed: theoretical insights were obtained through a systematic literature review, analysis of policy documents, and examination of service identification cards, while semi-structured interviews with experts in healthcare, policy, and information technology helped to identify and refine key system components.Based on TOGAF 10, a multi-layered framework was constructed across four domains—business, application, data, and technology. The framework incorporates clinical datasets, decision-support tools, secure infrastructures, and governance mechanisms. Its validity was examined through the survey of experts and assessed using Moutinho’s evaluation criteria, ensuring conceptual rigor and practical relevance.The result of the research is a native and coherent framework that includes informational (clinical and diagnostic data), application (decision support systems), technological (communication and security infrastructure), and institutional (policy-making structures and key stakeholders) components, and provides the necessary platform for improving the quality of care, reducing human errors in diagnosis and therapeutic interventions, and advancing digital health strategies in the treatment of this disease. Finally, in addition to the research presentations, practical suggestions and recommendations for future research are provided.
