Technology in Society最新文献_第2页

Navigating the AI technology landscape from GitHub data 从GitHub数据中导航人工智能技术领域

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-25 DOI: 10.1016/j.techsoc.2025.103090

Jaemyoung Choi , Sungsoo Lee , Hakyeon Lee

{"title":"Navigating the AI technology landscape from GitHub data","authors":"Jaemyoung Choi , Sungsoo Lee , Hakyeon Lee","doi":"10.1016/j.techsoc.2025.103090","DOIUrl":"10.1016/j.techsoc.2025.103090","url":null,"abstract":"<div><div>As artificial intelligence (AI) is considered a pivotal technology determining competitiveness, understanding the current and future state of AI technology has become crucial. Conventional approaches to mapping the technology landscape have relied heavily on patent data, but patents cannot adequately capture the state of the art in rapidly changing technologies like AI, due to significant time lags from development to registration. Given that much of the AI technology is developed through open source projects on GitHub, the largest and most popular code host and social coding platform, GitHub emerges as a promising data source for navigating the AI technology landscape. This study aims to explore and predict the AI landscape based on GitHub data. We propose a new bibliometric-like measure, called library coupling, which leverages the unique aspect of code reuse in open source software development to capture the relationships between GitHub repositories. A total of 2879 AI-related repositories with Python-based libraries were collected from GitHub. An AI repository network is constructed based on library coupling relationships among these repositories. Using the attributed graph clustering technique, the AI repositories within the network are grouped into 20 AI technology clusters. Subsequently, we employ graph convolutional network-based link prediction to predict the changes in the AI technology landscape. The proposed GitHub-based technology landscaping approach can be effectively utilized to grasp the current state of rapidly evolving <span>AI</span> technologies and predict their future trends, thereby supporting informed decision making in national <span>AI</span> policy formulation and corporate <span>AI</span> strategy.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103090"},"PeriodicalIF":12.5,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A counselor-inspired agent framework for AI counselors to enhance client engagement 为人工智能咨询师提供一个顾问启发的代理框架，以提高客户参与度

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-24 DOI: 10.1016/j.techsoc.2025.103045

Yuanrong Tang, Yu Kang, Yifan Wang, Tianhong Wang, Chen Zhong, Jiangtao Gong

{"title":"A counselor-inspired agent framework for AI counselors to enhance client engagement","authors":"Yuanrong Tang, Yu Kang, Yifan Wang, Tianhong Wang, Chen Zhong, Jiangtao Gong","doi":"10.1016/j.techsoc.2025.103045","DOIUrl":"10.1016/j.techsoc.2025.103045","url":null,"abstract":"<div><div>Current AI counseling systems struggle with maintaining effective long-term client engagement. Through formative research with professional counselors and AI counseling practices, alongside a systematic literature review, we identified five key design considerations that bridge human counseling expertise with AI capabilities. Based on these insights, we propose CA+, a <u><strong>C</strong></u>ounselor-Inspired <u><strong>A</strong></u>gent framework for AI counselors to enhance client engagement through three components: (1) Therapy Strategies Module: Implements hierarchical Goals-Session-Action planning with bidirectional adaptation based on client feedback; (2) Communication Form Module: Orchestrates parallel guidance and empathy pathways for balanced therapeutic progress and emotional resonance; (3) Information Management: Utilizes client profile and therapeutic knowledge databases for dynamic, context-aware interventions. A three-day longitudinal study with 24 clients demonstrates CA+’s significant improvements in client engagement, perceived empathy, and overall satisfaction compared to a baseline system. Besides, two licensed counselors confirm its high professionalism. Our research demonstrates the potential for enhancing LLM engagement in psychological counseling dialogues through cognitive theory, establishing a foundational framework for LLM systems that demand reasoning, memory, empathy, and sustained multi-turn interactions in human-centered applications.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103045"},"PeriodicalIF":12.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creative scar without generative AI: Individual creativity fails to sustain while homogeneity keeps climbing 没有生成AI的创造性伤痕：当同质性不断攀升时，个体创造力无法维持

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-24 DOI: 10.1016/j.techsoc.2025.103087

Yiyong Zhou , Qinghan Liu , Jihao Huang , Guiquan Li

{"title":"Creative scar without generative AI: Individual creativity fails to sustain while homogeneity keeps climbing","authors":"Yiyong Zhou , Qinghan Liu , Jihao Huang , Guiquan Li","doi":"10.1016/j.techsoc.2025.103087","DOIUrl":"10.1016/j.techsoc.2025.103087","url":null,"abstract":"<div><div>Generative AI such as ChatGPT has been proven to enhance human creativity at the cost of content diversity. Yet, what occurs when individuals, who have developed a dependency on it, find ChatGPT inaccessible? In this study, we examine the impact of both the presence and absence of ChatGPT on sustained creative output and content homogeneity, leveraging two complementary methodologies: a natural experiment (Study 1) and a controlled laboratory experiment with extended follow-ups (Study 2). Study 1 analyzed 419,344 academic papers published before and after ChatGPT-3.5’s release across all subjects categorized by Web of Science (i.e., Physical Sciences, Life Sciences & Biomedicine, Technology, Social Sciences, Arts & Humanities). Study 2, a seven-day laboratory experiment with two follow-up surveys, collected 3593 original ideas and 427 solutions across 18 different creative tasks, with half of the participants using ChatGPT-4. We find that although generative AI helps scholars to publish more academic works in higher-ranked journals and enhances individuals' performance in creative tasks, such creativity drops remarkably upon withdrawal of AI assistance. Strikingly, the induced content homogeneity keeps climbing even months later. We resemble the latter as a creative scar inked in the temporal creativity trajectory. This research identifies a creativity illusion that although generative AI can augment creative performance, users do not truly acquire the ability to create but easily lost it once generative AI is no longer available.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103087"},"PeriodicalIF":12.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rethinking corporate diversification in emerging markets: How digital transformation reshapes strategies in China 对新兴市场企业多元化的反思：数字化转型如何重塑中国企业战略

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-24 DOI: 10.1016/j.techsoc.2025.103086

Jiayi Tao , Xinhe Zhang , Xiaofei Wu , Qin Zhou

{"title":"Rethinking corporate diversification in emerging markets: How digital transformation reshapes strategies in China","authors":"Jiayi Tao , Xinhe Zhang , Xiaofei Wu , Qin Zhou","doi":"10.1016/j.techsoc.2025.103086","DOIUrl":"10.1016/j.techsoc.2025.103086","url":null,"abstract":"<div><div>This study investigates how digital transformation reshapes corporate diversification strategies in Chinese listed firms, underpinned by dynamic capabilities theory. Our analysis suggests that digital transformation amplifies diversification benefits by mitigating financial constraints and enhancing risk perception. Utilizing a panel dataset of 36,822 firm-year observations from 2008 to 2021, this study applies fixed-effects regression models, instrumental variable techniques, and heterogeneity analyses. Our empirical analysis reveals that digital transformation significantly promotes corporate diversification, an effect that is particularly pronounced in non-SOEs, eastern regions, and the manufacturing sector. We identify two key mechanisms driving this relationship: the mitigation of financial constraints and the enhancement of risk perception. Robustness tests confirm these findings. Additionally, digital transformation mitigates the negative impact of diversification on total factor productivity (TFP). While high economic policy uncertainty suppresses diversification, digital transformation helps offset this effect. These findings advance the strategic management literature by demonstrating how digital transformation helps firms overcome policy uncertainty and diversification challenges, offering policy insights for promoting digital adoption in China's evolving economic landscape.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103086"},"PeriodicalIF":12.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging structural and behavioral models to promote green consumer credit practices in non-banking financial companies 利用结构和行为模型促进非银行金融公司的绿色消费信贷实践

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-23 DOI: 10.1016/j.techsoc.2025.103083

Vikas Sharma , Ramona Rupeika-Apoga

引用次数: 0

Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art 迈向组织人类-人工智能协作的综合模型：对当前技术状况的半系统回顾

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-23 DOI: 10.1016/j.techsoc.2025.103064

Lilian Tai Do Khac , Michael Leyer

引用次数: 0

Dual regulatory mechanisms and boundary conditions of digital transformation on open innovation: A supply chain dynamic characteristics perspective 开放式创新数字化转型的双重监管机制与边界条件：供应链动态特征视角

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-23 DOI: 10.1016/j.techsoc.2025.103085

Qinwei Cao , Yu Qian , LinFeng Zhong , Qiaoyu Meng

{"title":"Dual regulatory mechanisms and boundary conditions of digital transformation on open innovation: A supply chain dynamic characteristics perspective","authors":"Qinwei Cao , Yu Qian , LinFeng Zhong , Qiaoyu Meng","doi":"10.1016/j.techsoc.2025.103085","DOIUrl":"10.1016/j.techsoc.2025.103085","url":null,"abstract":"<div><div>Digital transformation is widely recognized as a catalyst for corporate innovation. Existing research exhibits significant theoretical gaps in elucidating the synergistic mechanisms and contextual dependencies between digital transformation and open innovation, particularly in accounting for supply chain dynamics. Moving beyond unilateral effect analyses, this study integrates transaction cost economics and resource dependence theory to develop a novel <em>digital transformation–supply chain characteristics–open innovation</em> framework. Leveraging panel data from Shanghai and Shenzhen A-share listed companies, this paper empirically investigates how digital transformation impacts open innovation and uncovers the dual regulatory roles of supply chain concentration and efficiency. Key findings reveal: (1) Digital transformation significantly enhances open innovation levels through the synergistic reduction of transaction costs and resource dependence constraints, (2) Supply chain concentration weakens the positive impact due to transaction lock-in effects and innovation path dependence, (3) High supply chain efficiency paradoxically suppresses digital innovation dividends by reinforcing resource dependence and organizational inertia. This research contributes a pioneering <em>d</em><em>igital-</em><em>s</em><em>upply chain</em> collaborative innovation paradigm, offering a dynamic characteristics-based explanatory framework for resolving the digital innovation paradox. Our findings provide critical theoretical and practical insights for building resilient innovation ecosystems in the digital economy.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103085"},"PeriodicalIF":12.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How would prompt completion editing impact user experience scores in academic research with large language models? 在使用大型语言模型的学术研究中，提示完成编辑如何影响用户体验分数？

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-22 DOI: 10.1016/j.techsoc.2025.103080

Gerald Nderitu Njuguna, Min Qingfei

{"title":"How would prompt completion editing impact user experience scores in academic research with large language models?","authors":"Gerald Nderitu Njuguna, Min Qingfei","doi":"10.1016/j.techsoc.2025.103080","DOIUrl":"10.1016/j.techsoc.2025.103080","url":null,"abstract":"<div><div>Prompt completion editing (PCE), the user-driven revision of large language model (LLM) completions, is a critical behaviour in the academic applications of multimodal LLMs. However, few studies have examined how these edits function as implicit reinforcement signals to improve LLM alignment and enhance user experience (UX). This study investigates how PCE, conceptualised through the dimensions of language stylistics, personalisation, and labelling, affects UX outcomes, including performance, task management, and user satisfaction. The sample consisted of 294 respondents from China and Kenya. Using a user-centred approach, this study applies partial least squares structural equation modelling for empirical analysis. The results show that PCE significantly improves UX (β = 0.304, t = 3.965, p < 0.001) and acts as a proxy for implicit human feedback in LLM optimisation. Mediation analysis confirms that data management and prompting experience significantly explain the relationships (p < 0.001), whereas simple slope analysis supports the moderation effects of perceived usefulness, task fit, and quality. The findings suggest that user edits serve as fine-grained feedback signals that enhance personalisation and usability in academic contexts. These results inform the design of more flexible and feedback-aware LLM systems, thereby advancing the development of human-in-the-loop artificial intelligence.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103080"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dual-path driving mechanism study of digital transformation on supply chain adaptation from the asymmetric network power perspective 非对称网络权力视角下数字化转型对供应链适应的双路径驱动机制研究

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-22 DOI: 10.1016/j.techsoc.2025.103081

Chen Peng , Yunsheng Zhang , Liubin Lai

{"title":"A dual-path driving mechanism study of digital transformation on supply chain adaptation from the asymmetric network power perspective","authors":"Chen Peng , Yunsheng Zhang , Liubin Lai","doi":"10.1016/j.techsoc.2025.103081","DOIUrl":"10.1016/j.techsoc.2025.103081","url":null,"abstract":"<div><div>This study examines how digital transformation reshapes supply chain governance through the natural and social dimensions of technological interdependence. Although previous studies have confirmed that digital transformation enhances supply chain performance by improving internal efficiency and strengthening external network collaboration, they generally overlook both the complex interdependence structure inherent in the underlying technological system and the moderating role of asymmetric power within this structure. Analyzing 564 Chinese high-tech firms (2003–2022), we find: (1) an inverted U-shaped relationship between digital transformation and supply chain adaptability; (2) asymmetric network power helps firms improve technology-organization alignment and reduce governance costs for interdependent relationships, thereby enhancing supply chain adaptability; (3) asymmetric network power 's moderating effect increasingly manifests in reshaping supply chain rules as digital technologies evolve. We posit that digital transformation reshapes supply chain synergy through two pathways: technological sovereignty competition and organizational restructuring, with its effectiveness being contingent upon the structure of technological interdependence. Firms should develop resilient modular architectures, prioritize low-cost scenarios, and promote industry-wide graded interoperability standards with open-source baselines. Governments need frameworks balancing sovereignty governance and open innovation to mitigate technology blockade risks and unlock technological value through coordinated evolution of institutions, standards, and organizations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103081"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfiguring Korea’s dual transition: Empirical insights on the role of industry 4.0 technologies 重新配置韩国的双重转型：工业4.0技术作用的实证见解

IF 12.5 1区社会学

Technology in Society Pub Date : 2025-09-22 DOI: 10.1016/j.techsoc.2025.103084

Yugang He

{"title":"Reconfiguring Korea’s dual transition: Empirical insights on the role of industry 4.0 technologies","authors":"Yugang He","doi":"10.1016/j.techsoc.2025.103084","DOIUrl":"10.1016/j.techsoc.2025.103084","url":null,"abstract":"<div><div>This study empirically investigates the impact of Industry 4.0 technologies on economic and environmental sustainability in South Korea. Utilizing the autoregressive distributed lag bounds-testing approach alongside Kernel-based regularized least squares-based machine learning techniques, this analysis captures both short- and long-run dynamics between a composite Industry 4.0 index and dual sustainability outcomes—adjusted net saving and per capita CO<sub>2</sub> emissions. The findings reveal that Industry 4.0 technologies significantly enhance long-term economic resilience while simultaneously reducing environmental degradation. Notably, environmental benefits emerge more immediately, whereas economic gains accrue gradually, reflecting asymmetric transition dynamics. These results underscore that Industry 4.0 technologies serve as structural enablers of sustainability, contingent on coordinated policies such as environmental taxation, green R&D, and trade alignment. The Korean case offers compelling evidence that comprehensive digital strategies can deliver both economic and ecological dividends, providing actionable insights for other late-industrializing economies seeking to harmonize innovation with sustainable development trajectories.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103084"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0