Social Sciences and Intelligence Management, 2nd Volume

Abstract submission deadline

31 December 2025

Manuscript submission deadline

31 March 2026

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Topic Information

Dear Colleagues,

The 4th International Conference on Social Sciences and Intelligence Management 2024 (SSIM 2024) will be held in Taichung City, Taiwan, on December 20-22 2024. It promises to be an exciting event, uniting scholars, researchers, and professionals from around the world to discuss and explore the latest trends and advancements in social sciences and intelligence management. This year’s theme, "New Trends in Social Sciences and Intelligence Management," focuses on the innovative approaches and emerging paradigms shaping these dynamic disciplines. As our world becomes increasingly interconnected and complex, the intersection of social sciences and intelligence management has become more critical than ever. SSIM 2024 will offer a multidisciplinary platform for attendees to share research findings, exchange ideas, and collaborate on cutting-edge solutions to address contemporary societal challenges.

This topic, titled “Social Sciences and Intelligence Management, 2nd Volume”, includes five journals: Education Sciences, Journal of Intelligence, Social Sciences, Societies, and Languages. It aims to publish excellent papers, both ones selected from SSIM 2024 and other high-quality papers from relevant fields. This topic enables interdisciplinary collaboration between social sciences and smart management in the academic and industrial fields, as well as international networking. Topics of interest include the following:

1. Technology, Media, and Communications
   • Journalism, media, and technology trends, as well as predictions;
   • Social media and communication technology;
   • Artificial intelligence and its communication applications;
   • Documentary film direction and production;
   • Advertising, marketing, and public relations;
   • Communication in education.
2. Education and Technologies
   • AI-enhanced learning environments;
   • AI-assisted teaching methodologies;
   • Computer-based teaching and learning;
   • Online learning;
   • Wireless, mobile, and multimedia applications used in educational practice;
   • Case studies of teachers’ practical experience, policies, and systems in the digital era;
   • Teacher’s education;
   • Linguistics and literature.
3. Advanced Technologies for Young Children
   • Innovative approaches to learning and teaching environments;
   • Child development and care;
   • Play in the digital age;
   • Advanced technologies for family and community partnerships;
   • Case studies of the implementation of and issues relating to advanced technologies;
   • Frontier technologies.
4. Social Work and Technology
   • Intelligent assessment of social work;
   • The impact of applications, online habits, and social media on social problems;
   • Social and communication networks;
   • Social work and information technology;
   • ICT for social work;
   • Digital social work.

Prof. Dr. Liza Lee
Prof. Dr. Teen-­Hang Meen
Prof. Dr. Kuei-Kuei Lai
Prof. Dr. Linda Pavitola
Prof. Dr. Charles Tijus
Prof. Dr. Kate Chen
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Social Sciences socsci	1.7	3.1	2012	34.5 Days	CHF 1800	Submit
Societies societies	1.6	3.0	2011	34.4 Days	CHF 1400	Submit
Applied System Innovation asi	3.7	9.9	2018	27 Days	CHF 1600	Submit

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Published Papers (4 papers)

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All Social Sciences Societies ASI

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26 pages, 1806 KiB  

Open AccessArticle

From Transactions to Transformations: A Bibliometric Study on Technology Convergence in E-Payments

by Priyanka C. Bhatt, Yu-Chun Hsu, Kuei-Kuei Lai and Vinayak A. Drave

Appl. Syst. Innov. 2025, 8(4), 91; https://doi.org/10.3390/asi8040091 - 28 Jun 2025

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Abstract

This study investigates the convergence of blockchain, artificial intelligence (AI), near-field communication (NFC), and mobile technologies in electronic payment (e-payment) systems, proposing an innovative integrative framework to deconstruct the systemic innovations and transformative impacts driven by such technological synergy. Unlike prior research, which [...] Read more.

This study investigates the convergence of blockchain, artificial intelligence (AI), near-field communication (NFC), and mobile technologies in electronic payment (e-payment) systems, proposing an innovative integrative framework to deconstruct the systemic innovations and transformative impacts driven by such technological synergy. Unlike prior research, which often focuses on single-technology adoption, this study uniquely adopts a cross-technology convergence perspective. To our knowledge, this is the first study to empirically map the multi-technology convergence landscape in e-payment using scientometric techniques. By employing bibliometric and thematic network analysis methods, the research maps the intellectual evolution and key research themes of technology convergence in e-payment systems. Findings reveal that while the integration of these technologies holds significant promise, improving transparency, scalability, and responsiveness, it also presents challenges, including interoperability barriers, privacy concerns, and regulatory complexity. Furthermore, this study highlights the potential for convergent technologies to unintentionally deepen the digital divide if not inclusively designed. The novelty of this study is threefold: (1) theoretical contribution—this study expands existing frameworks of technology adoption and digital governance by introducing an integrated perspective on cross-technology adoption and regulatory responsiveness; (2) practical relevance—it offers actionable, stakeholder-specific recommendations for policymakers, financial institutions, developers, and end-users; (3) methodological innovation—it leverages scientometric and topic modeling techniques to capture the macro-level trajectory of technology convergence, complementing traditional qualitative insights. In conclusion, this study advances the theoretical foundations of digital finance and provides forward-looking policy and managerial implications, paving the way for a more secure, inclusive, and innovation-driven digital payment ecosystem. Full article

(This article belongs to the Topic Social Sciences and Intelligence Management, 2nd Volume)

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29 pages, 2746 KiB  

Open AccessArticle

Explainable AI-Integrated and GAN-Enabled Dynamic Knowledge Component Prediction System (DKPS) Using Hybrid ML Model

by Swathieswari Mohanraj and Shanmugavadivu Pichai

Appl. Syst. Innov. 2025, 8(3), 82; https://doi.org/10.3390/asi8030082 - 16 Jun 2025

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Abstract

The progressive advancements in education due to the advent of transformative technologies has led to the emergence of customized/personalized learning systems that dynamically adapts to an individual learner’s preferences in real-time mode. The learning route and style of every learner is unique and [...] Read more.

The progressive advancements in education due to the advent of transformative technologies has led to the emergence of customized/personalized learning systems that dynamically adapts to an individual learner’s preferences in real-time mode. The learning route and style of every learner is unique and their understanding varies with the complexity of core components. This paper presents a hybrid approach that integrates generative adversarial networks (GANs), feedback-driven personalization, explainable artificial intelligence (XAI) to enhance knowledge component (KC) prediction and to improve learner outcomes as well as to attain progress in learning. By using these technologies, this proposed system addresses the challenges, namely, adapting educational content to an individual’s requirements, creating high-quality content based on a learner’s profile, and implementing transparency in decision-making. The proposed framework starts with a powerful feedback mechanism to capture both explicit and implicit signals from learners, including performance parameters viz., time spent on tasks, and satisfaction ratings. By analysing these signals, the system vigorously adapts to each learner’s needs and preferences, ensuring personalized and efficient learning. This hybrid model dynamic knowledge component prediction system (DKPS) exhibits a 35% refinement in content relevance and learner engagement, compared to the conventional methods. Using generative adversarial networks (GANs) for content creation, the time required to produce high-quality learning materials is reduced by 40%. The proposed technique has further scope for enhancement by incorporating multimedia content, such as videos and concept-based infographics, to give learners a more extensive understanding of concepts. Full article

(This article belongs to the Topic Social Sciences and Intelligence Management, 2nd Volume)

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15 pages, 5811 KiB  

Open AccessArticle

Exploring the Impact of Cultural Identity on the Revitalization Benefits of Rural Communities

by Wen-Bor Lu and Po-Hsiang Wang

Soc. Sci. 2025, 14(6), 377; https://doi.org/10.3390/socsci14060377 - 16 Jun 2025

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Abstract

Communities are fundamental to national development, functioning as essential social units where local cultural identity and public participation play a crucial role. However, rapid urbanization has led to a decline in interpersonal interactions, weakened community bonds, and increased social divides, which in turn [...] Read more.

Communities are fundamental to national development, functioning as essential social units where local cultural identity and public participation play a crucial role. However, rapid urbanization has led to a decline in interpersonal interactions, weakened community bonds, and increased social divides, which in turn reduce residents’ engagement in public affairs. This study aims to explore the relationship between cultural identity and community revitalization to promote sustainable community development. We will achieve this by analyzing the implementation experiences of two rural Taiwanese communities: Huanan Community in Gukeng, Yunlin, and Chenggong Community in Dadou, Taichung City. Using exploratory factor analysis and regression analysis as our methodologies, we seek to understand how cultural identity fosters cohesion, enhances participation, and supports sustainable development in community revitalization. Our research findings indicate that cultural identity is composed of cultural engagement, cultural belonging, and cultural integration. Conversely, community revitalization encompasses aspects of daily life, life experiences, personal economic evaluation, community industry development, and residents’ environmental awareness. The overall research framework demonstrates that cultural identity has a strong influence on community revitalization, identifying strategies to improve residents’ quality of life and foster vibrant communities. Full article

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19 pages, 1513 KiB  

Open AccessArticle

Research on the Application Decision Making of Information Technology in the Sustainable Supply Chain of Cross-Border E-Commerce

by Feng Ding and Jiazhen Huo

Appl. Syst. Innov. 2025, 8(3), 69; https://doi.org/10.3390/asi8030069 - 19 May 2025

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Abstract

Cross-border e-commerce (CBEC) is rapidly growing as a global trade engine. Simultaneously, its rapid expansion also poses environmental challenges and worsens supply chain sustainability. Advanced information technology (IT) significantly enhances supply chain visibility and promotes cooperation, thereby improving the efficiency and sustainability of [...] Read more.

Cross-border e-commerce (CBEC) is rapidly growing as a global trade engine. Simultaneously, its rapid expansion also poses environmental challenges and worsens supply chain sustainability. Advanced information technology (IT) significantly enhances supply chain visibility and promotes cooperation, thereby improving the efficiency and sustainability of CBEC supply chains. However, the application of IT is accompanied by an increase in service costs, necessitating a comprehensive balance for enterprises. This paper constructs a CBEC supply chain consisting of an overseas supplier and two merchants, where one merchant adopts advanced IT to provide differentiated services. A game-theoretic model is employed to analyze the IT application decisions under price and service competition in supply chain members’ cooperative and non-cooperative scenarios. The results indicate that service differentiation generated by advanced IT is influenced by consumer preferences. Merely applying advanced IT may not necessarily improve competitiveness and efficiency, and may even lead to negative utility. When the products sold are similar and the service cost coefficient is constant, those who apply advanced IT to provide higher service levels can gain competitive advantages and obtain more profits. When the service differentiation between merchants is constant, CBEC supply chains implementing centralized strategies can achieve greater profits. Full article

(This article belongs to the Topic Social Sciences and Intelligence Management, 2nd Volume)

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