Original Article
Milad Padidarfard; Atefeh Sharif; Mohammad Hasanzadeh; Mostafa Amini; Amin Nezarat
Abstract
Purpose: The main objective of this research is to present an agile data management system for the intelligent banking industry, by leveraging agile principles, the proposed system aims to support banks in generating data-driven value and smart banking.
Method: The research is grounded in the principles ...
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Purpose: The main objective of this research is to present an agile data management system for the intelligent banking industry, by leveraging agile principles, the proposed system aims to support banks in generating data-driven value and smart banking.
Method: The research is grounded in the principles of systems thinking, data-centricity, lean thinking, and the agile manifesto. With a practical and developmental purpose, it employs deduction and exploration to draw conclusion. The methodology combines design science and meta-synthesis. Following the design science process, explaining the problem, describing the solution, designing initial solution (using meta-synthesis) validating the solution, and then sharing the results were all steps in the study.
Findings: The results consist of codes organized into four-tier structure: design domain, theme, category, axial code, and open code. These are presented as a conceptual model-compromising level zero and level one- which serves as the reference model for an agile data management system for smart banking.
Conclusion: An agile data management system, like any other system, it is essential to consider the data management system as having four elements: input (goals), processing (enablers), output (results), and feedback (based on agile and lean thinking). The banking industry has been slow to adopt new technologies, with many banks still reliant on mainframes. This hesitation stems partly from increased caution due to rising cyber-attacks and partly from concerns about regulatory requirements. The proposed model addresses banks' concerns by demonstrating how to integrate agile methods into a data management system for a smart bank.
Original Article
Akbar Mahdavi Ghareh Agaj Olya; Mehrdad Moharramzadeh; Tohid Aghayi Khanmohammad
Abstract
Purpose: The objective of this study is to examine the mediating role of improved performance in sports startups in the impact of AI-driven marketing on sports product marketing strategies.
Method: This applied research employed a descriptive-survey design. The study population consisted of physical ...
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Purpose: The objective of this study is to examine the mediating role of improved performance in sports startups in the impact of AI-driven marketing on sports product marketing strategies.
Method: This applied research employed a descriptive-survey design. The study population consisted of physical education professors, sports science students from Mohaghegh Ardabili University, along with sports product sellers and consumers in Ardabil province. Using Cohen’s formula with a test power of 0.80 and an effect size of 0.25, a sample size of 355 participants was determined. Following the removal incomplete responses, 342 questioners were included in the final analyzed. Data collection utilized standardized questionnaires, for which content, divergent validity, and convergent validity were assessed and established. Reliability, measured by Cronbach’s alpha, yielding coefficients of 0.82 for AI marketing, 0.86 for sports product marketing strategies, and 0.78 for sports startups performance. The hypothesis were tested using structural equation modeling (SEM) with SPSS19 and AMOS23 software.
Findings: The findings indicated that AI-driven marketing exerts a 0.42 effect on sports product marketing strategies and 0.14 effect on the performance improvement of sports startups. Furthermore sports product marketing strategies demonstrated 0.60 effect on enhancing the performance of improvement sports startups.
Conclusion: Therefore, leveraging AI in marketing constitutes a key factor for the success and sustainable growth of sports startups.
Original Article
Masoumeh Hasani; Hamid Keshavarz; Amir Reza Asnafi; Reza Basiriran Jahromi
Abstract
Purpose: The current study examined the effectiveness of gamified reading of electronic books among adolescents in school libraries.Method: A randomized sample of students aged 11 to 12 years including two control and experimental groups from four schools participated in this study. According to the ...
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Purpose: The current study examined the effectiveness of gamified reading of electronic books among adolescents in school libraries.Method: A randomized sample of students aged 11 to 12 years including two control and experimental groups from four schools participated in this study. According to the Mechanics, Dynamics, and Emotions (MDE) framework, six gamification elements were implemented as group challenges. The experiences were then evaluated based on a quasi-experimental design with a post-test via the GAMEX scale.Findings: Multiple independent t-tests using SPSS 26.0 showed that the gamified experience and its relevant subscales including enjoyment, absorption, creative thinking, activation, absence of negative affect, and dominance differed significantly between the two groups. Therefore, the results revealed that implementing gamification in the reading experience within a gamified environment is highly effective and will influence adolescents' interest, motivation and ability to read in library contexts, which can be of interest to experts and policymakers in education and computer science.Conclusion: Various game mechanisms can be integrated into the educational context or platforms like electronic books to make learning interesting and motivating to the students.
Original Article
Jalal Rezaeenour; Rahil Karimian
Abstract
Purpose: In the 21st century, digital libraries have emerged in new ways in the professional career of librarians and other library users worldwide. The aim of the present study is to identify the functions of artificial intelligence in digital libraries.
Method: This research is a qualitative systematic ...
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Purpose: In the 21st century, digital libraries have emerged in new ways in the professional career of librarians and other library users worldwide. The aim of the present study is to identify the functions of artificial intelligence in digital libraries.
Method: This research is a qualitative systematic review. The population of the study includes all quantitative and qualitative research articles on the identification of artificial intelligence functions in digital libraries.
Findings: A total of 500 research titles were retrieved through a multi-stage search in internal and external databases. Following a three-stage monitoring process (based on title, abstract, and full-text study), 34 research sources (9 foreign research titles and 25 domestic research titles) in the form of published journals articles and conference papers were identified and analyzed using thematic content analysis. For qualitative evaluation of the studies, 8 questions were posed to the experts, resulting in 1 selective code, 8 central codes and 42 open codes.
Conclusion: The results of this research show that artificial intelligence can play an important role in the functioning of digital libraries and providing services to users. The findings demonstrate that AI-based systems are useful in various areas such as reference services, database search, organization, indexing, collection management, information retrieval, convenience and development, planning, and circulation. Moreover, librarians can enhance the quality of their works by employing this technology, which contributes to user satisfaction and the improvement of library services.
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