Technology in Society最新文献

{"title":"Sustainable crowdshipping: Navigating technological fit and security risks","authors":"Rachel Chua,&nbsp;Min Wu,&nbsp;Kum Fai Yuen","doi":"10.1016/j.techsoc.2025.102832","DOIUrl":"10.1016/j.techsoc.2025.102832","url":null,"abstract":"<div><div>‘Crowdshipping’ (CS), a burgeoning trend propelled by the upsurge in e-commerce after the COVID-19 pandemic, combines crowdsourcing and shipping, giving rise to a novel logistical paradigm. While shipping entails the physical transportation of goods, crowdsourcing involves task delegation to a network of individuals through an open call. This departure from conventional courier services for last-mile delivery leverages the collective potential of the online public. Using the health belief model and task–technology fit (TTF) theory, this study introduces a theoretical model that delves into the fundamental factors influencing consumer acceptance of CS as a last-mile delivery service within urban landscapes, encompassing its technological alignment. A comprehensive analysis of 450 survey responses, using structural equation modelling, revealed that expected outcome, self-efficacy, perceived threat (security and privacy) and cues to action directly influence consumers acceptance. Contrarily, task and technology characteristics can indirectly influence consumer acceptance through TTF. Analysis of the total effects revealed that cues to action have the strongest impact on consumer acceptance. The study aimed to illuminate consumer perspectives regarding the integration of CS as a last-mile delivery alternative and to enrich urban green logistical planning and regulatory frameworks for policymakers accordingly.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102832"},"PeriodicalIF":10.1,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103619","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":"Understanding digital therapeutics in disease self-management: A systematic literature review","authors":"Liang Yang ,&nbsp;Manyang Zhang ,&nbsp;Lin Jia ,&nbsp;Zhijun Yan ,&nbsp;Qiuju Yin","doi":"10.1016/j.techsoc.2025.102831","DOIUrl":"10.1016/j.techsoc.2025.102831","url":null,"abstract":"<div><div>The integration of digital technologies into disease self-management by patients has empowered healthcare delivery. Digital therapeutics (DTx) holds immense promise in improving patient outcomes through personalized and evidence-based interventions. However, existing research predominantly focuses on DTx applications in specific diseases or limited aspects and, thus, neglects a thorough exploration of fundamental concepts, underlying principles, and frameworks. To address this gap, we systematically reviewed the literature and analyzed 292 relevant articles between 2015 and 2023 from 7 main databases. Our study proposed a comprehensive conceptual framework for analyzing existing DTx literature, including (1) development, (2) system design, (3) evaluation, and (4) privacy concerns. Furthermore, we identified potential research opportunities for each theme. This study contributes to a systematic understanding of DTx research and its potential to advance medical outcomes in intervention practices. By bridging the existing knowledge gaps, our research paves the way for a more comprehensive and evidence-based approach to implementing DTx in patient disease self-management.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102831"},"PeriodicalIF":10.1,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170437","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":"Sustainable global semiconductor supply chain network design considering ESG","authors":"Mu-Chen Chen ,&nbsp;Shinsiong Pang ,&nbsp;Shau-Yu Su","doi":"10.1016/j.techsoc.2025.102829","DOIUrl":"10.1016/j.techsoc.2025.102829","url":null,"abstract":"<div><div>Industries, particularly semiconductor manufacturing companies, are increasingly aware of and engaged in environmental, social, and governance (ESG) management. ESG performance has become an essential business strategy. This study examines the combined effect of carbon tax, emissions trading systems (ETS), and ESG initiatives of a sample semiconductor company. We use a multi-objective mixed integer programming (MOMIP) model to investigate the production, carbon emissions, and job creation for the global supply chain of an Integrated Device Manufacturer (IDM). This study examines how an IDM's ESG initiative affects facility location selection, machine procurement, profit, and corporate social responsibility (CSR). We apply the proposed MOMIP model to a supply chain network of global semiconductor manufacturers. An example of an illustrative IDM company is used to validate the model's effectiveness. The results suggest that adopting ESG strategies does not significantly increase costs in the supply chain while reducing carbon emissions and increasing job creation. Therefore, semiconductor manufacturing companies benefit from ESG management and should put more resources into promoting it. This study contributes to the literature on developing a framework to assess ESG management in the global semiconductor supply chain. The methodology developed in this study provides a mathematical, economic, scientific and empirical basis to help manufacturers and governments with decision-making amid increased environmental costs and consciousness.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102829"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170939","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":"Innovation in the storm: How typhoons are reshaping the corporate R&D landscape","authors":"Xue Lei,&nbsp;Xueguo Xu","doi":"10.1016/j.techsoc.2025.102828","DOIUrl":"10.1016/j.techsoc.2025.102828","url":null,"abstract":"<div><div>The increasing frequency and intensity of typhoons pose significant challenges to corporate innovation, a crucial driver of both economic growth and societal resilience. However, the mechanisms through which typhoons affect corporate innovation and their broader societal implications remain underexplored. This study addresses this critical gap by examining Chinese A-share listed companies from 2010 to 2022. Using wind field models to construct typhoon destructive power indices and employing difference-in-differences and instrumental variable approaches, we reveal that typhoons significantly reduce patent applications and R&amp;D expenditure intensity, especially in coastal regions. Our heterogeneity analysis further shows that state-owned enterprises demonstrate greater resilience due to institutional support, firms with higher R&amp;D intensity exhibit particular vulnerability to typhoon disruptions. We identify three primary inhibition channels: (1) economic losses and market uncertainties exacerbate financial constraints, limiting innovation investment in socially beneficial technologies; (2) population migration and safety concerns lead to human capital loss, weakening innovative capacity and knowledge networks within communities; and (3) infrastructure damage disrupts R&amp;D activities, particularly affecting the development of disaster-resilient technologies. These findings contribute to understanding how extreme weather events impact society's technological adaptive capacity and provide crucial empirical evidence for policy formulation. By emphasizing the importance of building resilient innovation ecosystems, our research offers timely insights for enhancing societal preparedness and technological equity in the context of increasing environmental challenges.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102828"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103613","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":"Evaluating the impact of natural resource rents, R&D expenditures, green finance and energy efficiency on carbon emissions in BRICS economies: Greening the path to carbon neutrality in the post-COP 27 era","authors":"Nabila Amin ,&nbsp;Arshian Sharif ,&nbsp;Muhammad Salman Shabbir ,&nbsp;Yanchun Pan","doi":"10.1016/j.techsoc.2025.102826","DOIUrl":"10.1016/j.techsoc.2025.102826","url":null,"abstract":"<div><div>This study investigates the impact of natural resource rents, research and development expenditures, green energy, green technological innovation, economic growth, energy efficiency, and green finance on carbon emissions in the BRICS economies from 1995 to 2022. Utilizing data from the World Development Indicators (WDI) and OECD, the study employs a cross-sectional ARDL model to explore dependencies and correlations among these variables. Advanced panel methods of the second generation are used to account for potential cross-sectional dependencies and heterogeneity across the countries. The empirical findings reveal that while economic growth and natural resource rents exacerbate carbon emissions, research and development expenditure, green energy, green technological innovation, energy efficiency, and green finance support environmental sustainability. Notably, the Dumitrescu and Hurlin panel causality test uncovers bidirectional causal relationships between the key variables. Based on these findings, the study recommends several policy actions aligned with COP27 commitments: enforcing stricter CO₂ emissions regulations to meet SDG-13 (Climate Action), increasing investments in renewable energy and transitioning to green energy to achieve SDG-07 (Affordable and Clean Energy), supporting green innovation and enhancing R&amp;D for SDG-09 (Industry, Innovation, and Infrastructure), promoting circular economy practices and sustainable production for SDG-12 (Responsible Consumption and Production), and expanding green finance mechanisms to facilitate sustainable economic growth and development. Additionally, the study advocates for international collaboration on green technology transfer, greater financial incentives for green investments, and strengthening the role of governments in integrating sustainability into economic and policy frameworks, in line with the global commitment to carbon neutrality by 2060.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102826"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103614","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":"Towards smart, digitalised rural regions and communities – Policies, best practices and case studies","authors":"Pekka Leviäkangas ,&nbsp;Signe Sønvisen ,&nbsp;Diego Casado-Mansilla ,&nbsp;Marius Mikalsen ,&nbsp;Andrea Cimmino ,&nbsp;Anastassios Drosou ,&nbsp;Shahid Hussain","doi":"10.1016/j.techsoc.2025.102824","DOIUrl":"10.1016/j.techsoc.2025.102824","url":null,"abstract":"<div><div>Rural communities and regions face specific challenges in terms of thin markets, low population density, and long distances. Also, the demographics of these communities are often skewed towards the elderly, and the socioeconomics is characterized by higher share of low-income populations. While the concept of urban smart communities is quite well established, such as Smart Cities, the concept of smart rural region communities is only beginning to gain scholarly attention. Smart rural communities can be understood as rural areas and communities that build on their existing strengths and assets as well as on developing new opportunities based on the aforementioned. Traditional and new networks and services can be improved by utilizing digital telecommunication technologies, innovations, and better use of data and knowledge to benefit the communities. Investing in both physical and digital connectivity, and building digital environments for innovative services, economic sustainability, jobs, and social capital can be enhanced, thus contributing to active and live rural communities. Consequently, the development of smart rural communities and regions begins to emerge in research. What is becoming evident is that achieving the ambitions of smart rural communities requires not only digital technologies but also innovation of commercial and social services, as well as better digital capabilities and skills to bridge the existing – and in places the widening - divide between rural and urban communities.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102824"},"PeriodicalIF":10.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103618","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":"Societal implications of bioinspired technologies: Introduction to the special issue","authors":"Philipp Höfele ,&nbsp;Louisa Estadieu ,&nbsp;Oliver Müller ,&nbsp;Lore Hühn ,&nbsp;Andrea Kiesel","doi":"10.1016/j.techsoc.2025.102823","DOIUrl":"10.1016/j.techsoc.2025.102823","url":null,"abstract":"<div><div>This Special Issue seeks to introduce a broad range of bioinspired technologies and provides an overview of the challenges regarding sustainability, ethical responsibility and societal acceptance. It adopts both a narrow and broad understanding of bioinspired technology. In a narrower sense, it refers to technologies that mimic natural forms, structures, or functional principles, typically developed within the field of biomimetics. More broadly, bioinspired technologies are defined as those designed with human or non-human nature in mind and adapted to meet the needs of both. The Special Issue addresses five key questions: First, it asks how the broad spectrum of bioinspired technologies can be categorized and classified. Second, it explores the extent to which bioinspired technologies contribute to a sustainable future and in particular to the development of sustainable technologies and what criteria can be used to ensure the sustainability of bioinspired technologies. Third, it presents methods for investigating and fostering societal acceptance of new bioinspired technologies. Fourth, central technical and societal areas are considered in which bioinspiration can contribute to a sustainable future. Lastly, it explores the ontological and ethical challenges associated with bioinspired technologies in so far as they undermine the previous distinction between ‘nature’ and ‘technology’.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102823"},"PeriodicalIF":10.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103612","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":"Use of exclusive data for corporate research on machine learning and artificial intelligence: Implications for innovation and competition policy","authors":"Seokbeom Kwon ,&nbsp;Alan L. Porter","doi":"10.1016/j.techsoc.2025.102820","DOIUrl":"10.1016/j.techsoc.2025.102820","url":null,"abstract":"<div><div>Corporate research has been a primary driver of recent advances in Machine Learning and Artificial Intelligence (ML/AI). The present study contends that firms' prominent role in advancing the ML/AI research field is partly attributed to their use of exclusive data for ML/AI research. Using data on nearly 8000 preprints of ML/AI research papers archived in arXiv and the performance of their proposed algorithms, we found multifaceted evidence that corporate ML/AI research has exhibited a particularly significant citation impact compared to non-corporate research. Importantly, we showed that the significance of corporate research is more pronounced when it originates from the use of exclusive data. We argue that firms' use of exclusive data has been instrumental in not only encouraging their research on ML/AI, but also enhancing the research impact, which we call the “dual role” of the data in corporate research on ML/AI. In light of the policy concern regarding the potential anticompetitive implications of firms' utilization of data exclusivity in the evolving landscape of ML/AI, our conclusion calls for a comprehensive policy discourse on the consequences of firms' exclusive use of data for their ML/AI research within broader dimensions of societal welfare, including innovation and competition.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102820"},"PeriodicalIF":10.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170938","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":"Return on values of hydrogen energy transitions: A perspective on the conceptual framework","authors":"M.A. Hannan ,&nbsp;Mahendhiran S. Nair ,&nbsp;Pervaiz K. Ahmed ,&nbsp;Santha Vaithilingam ,&nbsp;Safat B. Wali ,&nbsp;M.S. Reza ,&nbsp;Sayem M. Abu ,&nbsp;Pin Jern Ker ,&nbsp;R.A. Begum ,&nbsp;Hwai Chyuan Ong ,&nbsp;Denny K.S. Ng ,&nbsp;Gilsoo Jang","doi":"10.1016/j.techsoc.2025.102821","DOIUrl":"10.1016/j.techsoc.2025.102821","url":null,"abstract":"<div><div>Global warming poses a significant threat to the planet, driven largely by carbon emissions from fossil fuels. Despite international commitments and efforts to reduce carbon emissions, current initiatives have fallen short of achieving the targets set. Recognizing this gap, the transition to hydrogen energy (HE) as an alternative to fossil fuel emerges as an essential and transformative strategy for achieving emission reduction goals and securing a sustainable energy solution. This study introduces a novel, value-based approach with the primary aim of creating a sustainable HE ecosystem framework that spans three pillars-economic, social, and environmental, aligned with the United Nations Sustainable Development Goals (UN-SDGs). This new framework called the 8R-8I ROV framework introduces the notion of return-on value (ROV) using 8R nature-based value and 8I enablers within the hydrogen energy ecosystem. The study provides a comprehensive characterization of the enablers required for a robust HE ecosystem. These enablers are necessary for ensuring both tangible and intangible outcomes across the three pillars, consequently enhancing value creation for all stakeholders. Through this analysis, the study provides insights into the pivotal role of the enablers within the HE ecosystem, facilitating this transition, and ultimately contributing to the achievement of sustainable development goals.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102821"},"PeriodicalIF":10.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170435","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":"Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management","authors":"Ivan Kekez ,&nbsp;Lode Lauwaert ,&nbsp;Nina Begičević Ređep","doi":"10.1016/j.techsoc.2025.102818","DOIUrl":"10.1016/j.techsoc.2025.102818","url":null,"abstract":"<div><div>This paper presents a systematic review of 64 papers using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) of research on bias and discrimination in the context of using Artificial Intelligence (AI). Specifically, while limiting the scope to research in HRM, it aims to answer three questions that are relevant to the research community. The first question is whether research papers define the terms 'bias' and 'discrimination', and if so how. Second, given that there are different forms of bias and discrimination, the question is exactly which ones are being investigated. Are there any forms of bias and discrimination that are underrepresented? The third question is whether a negativity bias exists in research on bias and discrimination in the context of AI. The answers to the first two questions point to some research problems. The review shows that in a substantial number of papers, the terms 'bias' and 'discrimination' are not or hardly defined. Furthermore, there is a disproportionate focus among researchers on bias and discrimination related to skin tone (racism) and gender (sexism). In the discussion, we provide reasons why this is undesirable for both scientific and extratheoretical reasons. The answer to the last question is negative. There is a relatively good balance between research that zooms in on the positive effects of AI on bias and discrimination, and research that deals with AI leading to (more) bias and discrimination.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102818"},"PeriodicalIF":10.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103616","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}