Technology in Society最新文献

{"title":"Education 5.0 challenges and sustainable development goals in emerging economies: A mixed-method approach","authors":"Vernika Agarwal ,&nbsp;Palak Verma ,&nbsp;Giulio Ferrigno","doi":"10.1016/j.techsoc.2025.102814","DOIUrl":"10.1016/j.techsoc.2025.102814","url":null,"abstract":"<div><div>The education sector has experienced transformative shifts with increased integration of artificial intelligence (AI) and Learning Analytics in higher education, notably within universities. This evolution necessitates the integration of Education 5.0 with Industry 5.0, especially in emerging economies like India, where teaching professionals play an essential part in facilitating this transition. Despite the opportunities for skills enhancement, significant obstacles impede the sustainable technological empowerment of academicians. This study recognizes these challenges in the context of Indian higher education and explores solutions to accelerate the acceptance of Education 5.0. Utilizing a mixed-methods approach, semi-structured interviews with 14 academicians were conducted, followed by thematic analysis using NVIVO and ranking via the Best-worst Multi-criteria Decision-Making Process (BWM). The research indicates that resolving these challenges can streamline the transition to AI-enabled educational technologies. The study highlights the significance of university management in formulating targeted policies and training programs that minimize these challenges, ultimately enhancing the educational infrastructure and fostering a technologically proficient academic workforce. Theoretically, this research enriches the discourse on technology empowerment in education by mapping the interplay between educational advancements and organizational change, offering an understanding that can be applied to similar contexts globally.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102814"},"PeriodicalIF":10.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103615","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}

{"title":"Enhancing sustainable development through digital economy and natural resource management in one belt one road countries","authors":"Jianping Yu ,&nbsp;Shoukat Iqbal Khattak ,&nbsp;Manzoor Ahmad","doi":"10.1016/j.techsoc.2025.102812","DOIUrl":"10.1016/j.techsoc.2025.102812","url":null,"abstract":"<div><div>This study investigates the cyclical effects of the digital economy and natural resources on green growth in Belt and Road Initiative (BRI) member countries from 1990 to 2020, addressing a critical gap in understanding how these factors interact across economic cycles. While prior research has examined the role of the digital economy and resource utilization on sustainable development, limited attention has been given to their cyclical impacts, particularly in the context of developing economies participating in the BRI. Motivated by the pressing need for evidence-based policies that balance economic growth with environmental sustainability, this study explores how the digital economy and natural resources influence green growth during expansions and contractions, considering the moderating effects of fiscal policies, innovation, financial development, and labor dynamics. This research analyzes the cyclical relationships among key variables using the augmented mean group estimator. The Hodrick-Prescott filter is employed to disentangle the positive and negative fluctuations of the digital economy and natural resources during business cycles. The results reveal that the digital economy (0.362) and natural resources (0.456) significantly boost green growth during economic expansions. In contrast, these factors negatively affect green growth during recessions, with impacts of −0.263 and −0.328, respectively. Moderating variables such as expansionary fiscal policy (0.318), ecological innovation (0.109), financial development (0.246), labor force (0.560), and gross fixed capital formation (0.306) contribute positively to green growth. However, contractionary fiscal policy (−0.495) exerts a notable adverse influence. Policymakers should prioritize advancing green growth by focusing on the digital economy, sustainable resource management, and expansionary fiscal policies during economic expansions. Sustaining green growth necessitates prudent resource management and adaptable fiscal policies during periods of economic recession.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102812"},"PeriodicalIF":10.1,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170438","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}

{"title":"Laying the foundations of technology startups– An inquiry of crowd-funding investment decisions in a developing country","authors":"Amina Rizwan,&nbsp;Muhammad Shehzad Hanif,&nbsp;Talha Zubair Ahmad Khan","doi":"10.1016/j.techsoc.2025.102811","DOIUrl":"10.1016/j.techsoc.2025.102811","url":null,"abstract":"<div><div>This research gauges the actual investment behaviors of crowd-funding investors towards technology startups in Pakistan. We hypothesize that perceived risk will obstruct the crowdfunding investment decisions with the countervailing effect of trust in the presence of other boosters like technology awareness, value congruence, and social ties. Rooted in technology acceptance model and theory of planned behavior, we employ structural equation modeling to quantitatively assess the data collected from 273 actual crowd-funding investors. Findings suggest that crowd-funders often rely on their technology awareness, trusted network and social interaction ties while they ignore the value congruence and informativeness for their investment decisions. The age of the funder has no effect but a higher qualification will increase the likelihood of investment decisions.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102811"},"PeriodicalIF":10.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171241","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}

{"title":"Digital privacy education: Customized interventions for U.S. older and younger adults in rural and urban settings","authors":"Heba Aly ,&nbsp;Yizhou Liu ,&nbsp;Sushmita Khan ,&nbsp;Reza Ghaiumy Anaraky ,&nbsp;Kaileigh Byrne ,&nbsp;Bart Knijnenburg","doi":"10.1016/j.techsoc.2024.102805","DOIUrl":"10.1016/j.techsoc.2024.102805","url":null,"abstract":"<div><div>Digital technology has become nearly ubiquitous as a social conduit, yet a digital divide persists between older and younger populations, particularly in privacy and security literacy. This challenge is amplified for rural older adults facing resource scarcity and isolation. Currently, most educational resources are tailored for younger generations, potentially overlooking older adults’ unique needs. Our study addresses this gap by developing and evaluating digital privacy education interventions tailored to older adults’ learning preferences and abilities.</div><div>The study aims to test the effectiveness and user experience of various educational modalities, including text instructions, interactive tutorials, videos, comics, chatbots, and infographics. We compare these modalities’ impact on privacy knowledge, perceived learning, and enjoyment. The study also examines how user characteristics like age, gender, rurality, motivation, trust, self-efficacy, and privacy concerns influence the effectiveness of different modalities.</div><div>Findings reveal distinct modality preferences between older and younger generations in the US population. Age and gender influence perceived learning and knowledge gain, while rurality and motivation impact enjoyment. Younger adults prefer videos, while older adults favor text, though both groups show preference for video and chatbot modalities. This study aims to ensure equitable digital privacy education for all, emphasizing older adults’ distinct needs and preferences. The findings contribute to reducing the ‘digital divide’ in digital privacy, fostering a more privacy-aware society, and informing the design of future educational interventions for diverse age groups.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102805"},"PeriodicalIF":10.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170932","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}

{"title":"Assessing the key factors influencing 4G users' intentions to upgrade to 5G networks","authors":"Hsiao-Han Lu,&nbsp;Shi-Fen Huang","doi":"10.1016/j.techsoc.2024.102810","DOIUrl":"10.1016/j.techsoc.2024.102810","url":null,"abstract":"<div><div>This research examines how 4G network quality (i.e., speed, coverage, and call and text quality), media reviews, 5G promotion, and 5G perceived cost affect 5G perceived value, customer satisfaction, and corporate image toward a mobile network provider. These factors consequently influence loyalty and intention to use 5G from the perspective of customer-based brand equity. The results show the following key effects. (1) Network coverage and speed of 4G have positive effects on corporate image; (2) Call and text quality of 4G has a significantly positive effect on satisfaction, but a significantly negative effect on 5G perceived value. These findings imply that the high quality of call and text of 4G offered by current providers may reduce the perceived value of 5G, as users may feel that their current 4G service is already good for use. However, 5G technology is still progressing. (3) Media reviews have positive effects on corporate image and 5G perceived value, but significantly negative effects on customer satisfaction. These findings suggest that media reviews enhance corporate image and value perceptions. However, the heightened expectations they create may lead to reduced customer satisfaction; (4) 5G perceived value is the primary driving force of customers’ intention to use 5G, and 5G promotion is the strongest predictor among the factors influencing this perceived value; (5) Customer satisfaction with mobile network providers negatively relates to intention to use 5G, but positively relates to loyalty. Customer satisfaction can thus lead to the intention to use 5G through customer loyalty. Lastly, theoretical and practical implications for mobile service providers are discussed.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102810"},"PeriodicalIF":10.1,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171242","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}

{"title":"Audit quality and digitalisation in shaping firm innovation strategy: Evidence from China","authors":"Fushu Luan ,&nbsp;Zhonghui Zhang ,&nbsp;Yang Chen","doi":"10.1016/j.techsoc.2024.102807","DOIUrl":"10.1016/j.techsoc.2024.102807","url":null,"abstract":"<div><div>This study explores how external auditor quality and internal corporate digitalisation influenced the innovation performance of Chinese listed companies from 2001 to 2021. Innovation is assessed across three dimensions: efficiency, technological impact and economic value. The findings reveal a nuanced relationship: while high-quality audits enhance financial transparency and encourage structured innovation, they can unintentionally stifle high-risk, high-reward technological breakthroughs. Digitalisation amplifies these dynamics, driving data-informed decision-making and operational efficiency but, at times, reinforcing cautious innovation strategies. Further, the interplay between audit quality and digitalisation is shaped by internal factors, such as firm ownership, and external influences, including local enforcement of intellectual property rights and industry competition. These contextual elements amplify or mitigate the effects on innovation outcomes. The study highlights the critical need to balance the benefits of audit rigour and digital transformation with the flexibility required for disruptive innovations. By shedding light on these dynamics, this study offers actionable insights for auditors, corporate leaders and policymakers, aiming to foster an innovation ecosystem that combines financial accountability with bold technological advancements.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102807"},"PeriodicalIF":10.1,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172145","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}

{"title":"Sentiment analysis on social networks for defining innovation problems in organizations","authors":"Ana Gutiérrez ,&nbsp;Jose Aguilar ,&nbsp;Ana Ortega ,&nbsp;Edwin Montoya","doi":"10.1016/j.techsoc.2024.102804","DOIUrl":"10.1016/j.techsoc.2024.102804","url":null,"abstract":"<div><div>In recent years, social networks have transformed into dynamic platforms where individuals express personal thoughts, share emotions, and generate content on virtually any topic. To harness the potential of this information, we propose a sentiment analysis system for social networks grounded in the autonomic cycle of data analysis tasks paradigm, aimed at identifying innovation challenges within organizations. This autonomic cycle comprises a series of tasks that systematically collect and manage large volumes of unstructured social media data, facilitating the identification of innovation problems through sentiment analysis. These tasks involve steps such as filtering negative tweets, identifying key terms, and clustering these tweets to analyze centroids for additional insights aligned with the five W-model questions: What, Where, When, Why, and Who, which are essential for problem definition. The final stage centers on defining customer-driven innovation challenges based on the clustered data. The paper concludes with a case study analyzing tweets from a fashion enterprise, in which very promising results are obtained.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102804"},"PeriodicalIF":10.1,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172146","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}

{"title":"Transforming health and wellness: Exploring the captivating convergence of rehabilitation, exercise, and cutting-edge health gadgets in the rapidly evolving tech-driven world","authors":"Yadong Chen ,&nbsp;Wei Li ,&nbsp;Albę Słabi Hussam ,&nbsp;S. Baghaei ,&nbsp;S. Salahshour","doi":"10.1016/j.techsoc.2024.102808","DOIUrl":"10.1016/j.techsoc.2024.102808","url":null,"abstract":"<div><div>In the rapidly evolving tech-driven landscape, a captivating convergence of rehabilitation, exercise, and cutting-edge health gadgets is fundamentally reshaping individual health and fitness pursuits. The adoption of innovative health gadgets, ranging from wearable fitness trackers to advanced robotic exoskeletons, has gained significant momentum among those seeking to optimize performance and expedite recovery processes. This synergy is particularly notable in the field of rehabilitation, where patients undergoing recovery from injuries or surgeries can harness the benefits of health gadgets that offer precision and data-driven approaches to their healing journey. Smart sensors integrated into physical therapy equipment can monitor and analyze a patient's movements, providing instantaneous feedback to both the patient and their therapist, facilitating the creation of tailored rehabilitation programs and enhancing overall outcomes. Furthermore, athletes and fitness enthusiasts are embracing these technologies to gain a competitive edge, as the convergence of rehabilitation, exercise, and health gadgets continues to redefine the landscape of human health and function. Wearable devices, capable of tracking performance metrics such as heart rate, sleep patterns, and calorie expenditure, empower individuals to fine-tune their training regimens and optimize their overall well-being. In addition, the integration of Virtual reality (VR), Augmented reality (AR) and Artificial intelligence (AI) technologies into exercise routines has revolutionized the fitness experience, making workouts not only more engaging but also more effective. This article has delved into the captivating intersection of rehabilitation, exercise, and cutting-edge health gadgets. It has illuminated how these domains complement and elevate each other, offering a glimpse into the transformative potential of technology within the realms of health and wellness. As technology continues to advance at an unprecedented pace, it becomes increasingly evident that the synergy between these fields will continue to strengthen, ultimately benefiting individuals striving to enhance their health, performance, and overall quality of life. The study used machine learning (ML) modeling to enhance understanding of parameter interrelationships, enabling software to predict outputs more accurately without direct programming. ML encompasses supervised, unsupervised, and reinforcement learning, applied across diverse domains. The investigation utilized ML to estimate recovery, performance, and well-being by modifying rehabilitation and health criteria, confirming acceptable prediction error.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102808"},"PeriodicalIF":10.1,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172106","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}

{"title":"Impact of national university patenting on innovation: Researcher analysis in Japan","authors":"Kazuyuki Motohashi ,&nbsp;Kenta Ikeuchi ,&nbsp;Seokbeom Kwon","doi":"10.1016/j.techsoc.2024.102806","DOIUrl":"10.1016/j.techsoc.2024.102806","url":null,"abstract":"<div><div>This study addresses the impact of national university ownership of patents on the quantity and quality of university patents. We constructed researcher-level patent data with detailed information on their affiliations, and the difference-in-differences (DID) model was applied to determine the change in patent characteristics of national university researchers when the institutional ownership of intellectual property rights at national universities was allowed in 2004. An increase in university patenting has a significant impact on subsequent innovation, as observed by its forward citation, particularly by firms without prior university collaborations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102806"},"PeriodicalIF":10.1,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does adoption behavior towards ICT policies affect digital divides? Evidence from Chinese prefecture-level cities","authors":"Liuhong Wang ,&nbsp;Zhichao Ba ,&nbsp;Yuefen Wang","doi":"10.1016/j.techsoc.2024.102803","DOIUrl":"10.1016/j.techsoc.2024.102803","url":null,"abstract":"<div><div>Much has been investigated about antecedents of regional digital divides, while few have examined the impact of differential adoption behaviors toward informational and communications technology (ICT) policies. Utilizing a policy citation-based approach, this study quantifies the adoption behaviors of prefectural governments for ICT policies and further explores their effects on prefectural three-order digital divides: ICT access, ICT use, and ICT outcome. The moderating role of provincial governments' ICT policy adoption behaviors is also evaluated. By uncovering numerous implicit policy citation links in China's large-scale ICT policies, we calculate the speed, intensity, and content innovation of ICT policies adopted by prefecture- and province-level governments and inspect their spatial structures and locational dynamics. Further, the influence of these adoption behaviors' spatial-temporal heterogeneity on digital divides is examined based on non-spatial and spatial models. Our study demonstrates that digital divides and ICT policy adoption exhibit significant spatial-temporal disparities across prefectures in China, with this non-equilibrium continuing to expand over time. Prefectural cities with high ICT policy adoption speed, adoption intensity, and moderate content innovation can markedly reduce their three-order digital divides and promote digital development, which is moderated by province-level ICT policy adoption behaviors. Our research offers in-depth insight into spillovers of differentiated policy adoption behaviors and highlights several broad implications for policy innovation and generalization.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102803"},"PeriodicalIF":10.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172111","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}