Technology in Society最新文献

{"title":"Decoding coopetition performance using impactful coopetition attributes: Evidence from manufacturing companies","authors":"Patrycja Klimas ,&nbsp;Arkadiusz Kawa ,&nbsp;Karina Sachpazidu ,&nbsp;Sylwia Stańczyk ,&nbsp;Katharina Brenk ,&nbsp;Dominik K. Kanbach","doi":"10.1016/j.techsoc.2025.102819","DOIUrl":"10.1016/j.techsoc.2025.102819","url":null,"abstract":"<div><div>The concept of coopetition - simultaneous collaboration and competition between organizations to achieve mutually beneficial outcomes - plays a pivotal role in shaping business performance, particularly during periods of rapid technological advancements. This is especially evident the manufacturing sector, where innovation and competitive dynamics intersect with economic and social forces. The current academic discourse predominantly focuses on the qualitative identification and analysis of coopetition attributes, leaving a significant gap for large-scale quantitative studies to enable empirical assessment. This study aims to examine the significance of three groups of coopetition attributes for coopetition performance classified into two strategic (<em>dynamics</em>, <em>paradoxicality</em>), six relational (<em>asymmetry</em>, <em>complexity</em>, <em>coopetition intensity</em>, <em>mutual dependence</em>, <em>strength</em>, <em>tensions</em>), and five behavioral attributes (<em>competition intensity</em>, <em>conflict</em>, <em>formality</em>, <em>investments</em>, <em>trust</em>). Using data from 1216 manufacturing firms in Poland and employing a generalized Covariance based Structural Equation Model (CB-SEM), this study offers nuanced insights to the global discourse at the intersection of technological change and social dynamics. The results indicate that the strategic attribute <em>paradoxicality</em>, the relational attribute <em>strength</em>, and most of the behavioral attributes (<em>trust, competition intensity, investments, formality</em>) positively impact coopetition performance. Additionally, a significant negative impact of the strategic attribute <em>dynamics</em> was demonstrated, while no significant influence was identified for the remaining relational attributes (<em>asymmetry, tensions</em>) as well as the behavioral attribute <em>conflict</em>. Diverging from prior qualitative approaches, this study offers data-driven insights for decision-makers navigating societal and technological change, highlighting which attributes should be stimulated to enhance coopetition performance while minimizing the level of dynamics within coopetition strategies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102819"},"PeriodicalIF":10.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103617","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":"Non-hierarchic leadership collaboration: Exploring the adoption of AI-driven social networking for addressing social challenges in an extra-organizational environment","authors":"Oihana Basilio Ruiz de Apodaca ,&nbsp;Vicente J Montes Gan ,&nbsp;Fernando Moreno-Brieva","doi":"10.1016/j.techsoc.2024.102809","DOIUrl":"10.1016/j.techsoc.2024.102809","url":null,"abstract":"<div><div>The literature has explained how technology adoption and usage is affected by many socio-technical issues and how the emergence and evolution of networks is key for innovation. However, empirical analysis of interactions between leadership networks and new artificial intelligence-driven technologies is scarce. To shed new light on leadership communities around the adoption of an existing and a new technology related to leadership networks, we analyze the level of socio-digital engagement of a non-hierarchical network of individuals associated with a prestigious Spanish Foundation in the context of pressing social challenges. We apply a methodology that combines quantitative and qualitative methods, sentiment analysis, and insider research to analyze the strategy applied by the Foundation. Our main results show that the existence of strong, trust-based relationships and the introduction of a well-designed AI-based tool may only have a limited effect on the adoption of technology and the evolution of a network. Specifically, in the case studied, the network of leaders around the Foundation comprised peer leadership networks but not collective leadership networks focused on action on social challenges.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102809"},"PeriodicalIF":10.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170937","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":"Social avoidance needs boost AI's nonsocial attribute valuation in secret consumption","authors":"Jian Li ,&nbsp;Jingdi Zhao ,&nbsp;Jinsong Huang","doi":"10.1016/j.techsoc.2025.102817","DOIUrl":"10.1016/j.techsoc.2025.102817","url":null,"abstract":"<div><div>Consumers have a significant demand for receiving services in secret consumption, and choosing artificial intelligence (AI) to provide confidential services is becoming an option for them. However, the underlying mechanism behind their choice of AI service provider in secret consumption is not clear. Based on social avoidance theory, this paper finds that consumers appreciate AI in the context of secret consumption. They wish to hide their information and reduce social ties with service providers, thus preferring AI service providers with nonsocial attributes over human service providers. The underlying mechanism for this phenomenon is the need for social avoidance during secret consumption, which increases the value of AI's nonsocial attribute.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102817"},"PeriodicalIF":10.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170436","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":"What happened to the driver? Implications of electrification, digitalization, and automation on truck and taxi drivers","authors":"Jindan Gong ,&nbsp;Maria Xylia ,&nbsp;Claudia Strambo ,&nbsp;Björn Nykvist ,&nbsp;Sirin Celik","doi":"10.1016/j.techsoc.2025.102816","DOIUrl":"10.1016/j.techsoc.2025.102816","url":null,"abstract":"<div><div>Electrification, digitalization and automation are three trends driving the low-carbon transition of the transport sector. For the transition to be just, it is essential to ensure that those affected by these trends view the changes they bring as acceptable and fair. Transport policy development, however, mostly remains expert-driven. To explore just transitions in the context of transport electrification, digitalization and automation, we use Sweden as a case to analyse how taxi and truck drivers perceive the implications of these trends on six aspects of their quality of working life: skill requirements, work organization, job security, identity, safety and health. We also explore how these perceptions vary across dimensions of age, gender and geography. We found several perceived challenges related to skill requirements and identity, though drivers also see the potential for the trends to improve their work environment, safety and performance. However, these potential benefits are not taken for granted. The perceived implications may also raise potential distributional, procedural and recognition injustices, for instance regarding costs of reskilling, drivers' autonomy and the recognition of drivers' knowledge. We conclude that the technologies can have both positive and negative implications, and it is rather institutional arrangements, social processes, and broader societal and industrial shifts that cause transport workers to question their future in this sector. Incorporating drivers' insights into decision-making can enhance the drivers’ quality of working life and wellbeing while preserving their dignity.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102816"},"PeriodicalIF":10.1,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170936","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":"Evaluating the ecological footprints of Entrepreneurial activities: Insights from a cross-country assessment","authors":"Mohsen Khezri ,&nbsp;Jamal Mamkhezri","doi":"10.1016/j.techsoc.2025.102815","DOIUrl":"10.1016/j.techsoc.2025.102815","url":null,"abstract":"<div><div>This study aims to deepen our understanding of green entrepreneurship and its effects on ecological footprints, focusing on fishing grounds and CO₂ emissions—areas often underexplored in environmental research. Utilizing panel data from 2002 to 2018 across 14 countries, this research investigates the environmental impacts of eleven distinct entrepreneurial activities. Methodologically, the study incorporates a variety of control variables, including GDP per capita, trade openness, energy intensity, natural resource rents, and urbanization, to ensure robust analysis. Key findings illustrate the dual aspects of the Kuznets curve: 1) A positive squared GDP per capita coefficient of 0.514 indicates increasing ecological impacts from fishing as economic growth progresses. In contrast, a negative coefficient of −0.140 for CO2 emissions suggests diminishing impacts with further economic development. 2) The results reveal that entrepreneurial activities have a differential impact: reducing the ecological footprint associated with fishing activities while increasing CO2 emissions. 3) The relationship between GDP and ecological footprints varies by a country's economic status and the intensity of entrepreneurial activity, highlighting how different indices such as internal market dynamics and physical and services infrastructure interact uniquely with these environmental outcomes. The study underscores the importance of tailored economic and environmental policies to mitigate the diverse impacts of entrepreneurship on the ecosystem.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102815"},"PeriodicalIF":10.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170934","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":"Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions","authors":"Jens Peter Andersen ,&nbsp;Lise Degn ,&nbsp;Rachel Fishberg ,&nbsp;Ebbe K. Graversen ,&nbsp;Serge P.J.M. Horbach ,&nbsp;Evanthia Kalpazidou Schmidt ,&nbsp;Jesper W. Schneider ,&nbsp;Mads P. Sørensen","doi":"10.1016/j.techsoc.2025.102813","DOIUrl":"10.1016/j.techsoc.2025.102813","url":null,"abstract":"<div><div>This study explores the use of generative AI (GenAI) and research integrity assessments of use cases by researchers, including PhD students, at Danish universities. Conducted through a survey sent to all Danish researchers from January to February 2024, the study received 2534 responses and evaluated 32 GenAI use cases across five research phases: idea generation, research design, data collection, data analysis, and writing/reporting. Respondents reported on their own and colleagues' GenAI usage. They also assessed whether the practices in the use cases were considered good research practice. Through an explorative factor analysis, we identified three clusters of perception: \"GenAI as a work horse\", \"GenAI as a language assistant only\", and \"GenAI as a research accelerator\". The findings further show varied opinions on GenAI's research integrity implications. Language editing and data analysis were generally viewed positively, whereas experiment design and peer review tasks faced more criticism. Controversial areas included image creation/modification and synthetic data, with comments highlighting the need for critical and reflexive use of GenAI. Usage differed by main research area, with technical and quantitative sciences reporting slightly higher usage and more positive assessments. Junior researchers used GenAI more than senior colleagues, while no significant gender differences were observed. The study underscores the need for adaptable, discipline-specific guidelines for GenAI use in research, developed collaboratively with experts to align with diverse research practices and minimize ethical and practical misalignment.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102813"},"PeriodicalIF":10.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170935","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":"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}