Technology in Society最新文献

{"title":"Innovative resources driven artificial intelligence orientation: The moderating role of environmental and executives’ characteristics","authors":"Wucheng Han ,&nbsp;Weijie Zhu ,&nbsp;Zhaoli Song ,&nbsp;Ruoyu Lu","doi":"10.1016/j.techsoc.2025.102837","DOIUrl":"10.1016/j.techsoc.2025.102837","url":null,"abstract":"<div><div>In the era of rapid artificial intelligence (AI) technology advancement, enterprises increasingly consider AI as a strategic imperative. However, the determinants of AI adoption and strategy formulation in enterprises remain elusive. Drawing on an integrated Resource-Based View (RBV) and Strategic Choice Theory (SCT) framework, this study presents a theoretical model that scrutinizes the factors and boundary conditions influencing enterprises in crafting AI strategies. Empirical assessments of theoretical hypotheses were conducted utilizing survey data gathered from 717 executives across global firms. We found strong evidence that internal innovation resources (IIR) and collaborative innovation networks (CIN) have a positive impact on firm's AI orientation. The study revealed that environmental uncertainty (EU) can negatively moderate the relationship between internal innovation resources, collaborative innovation networks, and AI orientation. A positive moderating effect was observed between corporate digital culture (DC) and the relationship between internal innovation resources, collaborative innovation networks, and AI orientation. Meanwhile, we found a positive moderating effect of Executives' Not-Invented-Here Syndrome (NIHS) on the relationship between internal innovation resources and AI orientation. This research contributes to the ongoing discourse on AI strategy in management and offers valuable guidance for organizations seeking to harness the potential of AI in a rapidly changing business environment.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102837"},"PeriodicalIF":10.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422628","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":"Algorithmic trust and regulation: Governance, ethics, legal, and social implications blueprint for Indonesia's central banking","authors":"Arif Perdana ,&nbsp;Saru Arifin ,&nbsp;Novi Quadrianto","doi":"10.1016/j.techsoc.2025.102838","DOIUrl":"10.1016/j.techsoc.2025.102838","url":null,"abstract":"<div><div>Algorithm-driven financial systems significantly influence monetary stability and payment transactions. While these systems bring opportunities like automation and predictive analytics, they also raise ethical concerns, particularly biases embedded in historical data. Recognizing the critical role of governance, ethics, legal considerations, and social implications (GELSI), this study introduces a framework tailored for algorithmic systems in financial services, focusing on Indonesia's evolving regulatory environment. Using the Multiple Streams Approach (MSA) as our theoretical lens, we offer a framework that augments existing quantitative methodologies. Our study provides a nuanced, qualitative perspective on algorithmic trust and regulation. We proffer actionable strategies for the Central Bank of Indonesia (BI), emphasizing stringent data governance, system resilience, and cross-sector collaboration. Our findings highlight the critical importance of ethical guidelines and robust governmental policies in mitigating algorithmic risks. We combine theory and practical advice to show how to align problems, policies, and politics to create practical opportunities for algorithmic governance. This study contributes to the evolving discourse on responsible financial technology. Our study recommends a balanced way to manage the challenges of innovation, regulation, and ethics in the age of algorithms.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102838"},"PeriodicalIF":10.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445697","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":"Combining a conjoint experiment and machine learning model to include end-users in a constructive technology assessment: The case of seasonal thermal energy storage","authors":"Guillaume Zumofen","doi":"10.1016/j.techsoc.2025.102833","DOIUrl":"10.1016/j.techsoc.2025.102833","url":null,"abstract":"<div><div>By definition, the mapping of technological development occurs in the context of uncertainty and with a risk of failure. Decisions taken at the onset of the development phase are significant because the technology has not reached the market yet. The technology loses its malleability during the development phase because of entrenchment. Thus, the objective of a constructive technological assessment is to embed social aspects – additional perspectives – in the context of technological developments. In line with extant literature, a pivotal perspective is the (future) end-user of the technology. Hence, market acceptance remains a constraining factor in technological development, notably for renewable energy technology. However, existing studies have not included (future) end-users in development phases. They have always taken place after the technology has reached the market.</div><div>To bring technological development and market acceptance closer, this study develops an innovative method that combines a conjoint experiment with a supervised machine learning model to predict the behavioural intention of end-users to accept a new (energy) technology. This study illustrates the proposed methodology through a conjoint experiment on seasonal thermal energy storage. The ML model uses input from a survey with a conjoint experiment to predict end-users’ market acceptance. With N = 12,096 (1008 participants exposed to 6 x 2 conjoint tasks), the ML model predicts behavioural intention with an accuracy of RMSE = 1.55 on a 10-point scale. The model is then used to predict hypothetical acceptance from mock end-users’ profiles and varying technological features. Thus, this study opens new perspectives for constructive technology assessment and conjoint experiment literature, and furthers discussions on social acceptance of energy technologies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102833"},"PeriodicalIF":10.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429155","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":"Designing engagement: Exploring affordances in freemium digital games","authors":"Ha Eun (Grace) Park","doi":"10.1016/j.techsoc.2025.102840","DOIUrl":"10.1016/j.techsoc.2025.102840","url":null,"abstract":"<div><div>The freemium business model has gained increasing attention in digital game design. Drawing on affordance theory, this research examines how the affordances of freemium game design can be leveraged to foster engagement. Data was collected over two years of netnographic study, culminating in 10,927 posts and nine relevant forum topics. The findings identify different game mechanics - farming, loot boxing, raiding, and rewarding - and different types of affordances actualized by free-to-play and pay-to-win players. This research discusses how two levels of technology affordances at individual and team levels foster engagement in a progressive manner. This study provides insights for scholars and game designers to better understand the dynamics of designing freemium digital games in facilitating long-standing engagement.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102840"},"PeriodicalIF":10.1,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422626","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 SME resilience through artificial intelligence and strategic foresight: A framework for sustainable competitiveness","authors":"Elias G. Carayannis ,&nbsp;Roman Dumitrescu ,&nbsp;Tommy Falkowski ,&nbsp;George Papamichail ,&nbsp;Nikos - Rigert Zota","doi":"10.1016/j.techsoc.2025.102835","DOIUrl":"10.1016/j.techsoc.2025.102835","url":null,"abstract":"<div><div>This article explores the integration of artificial intelligence (AI) and strategic foresight as a comprehensive framework for enhancing resilience in small and medium-sized enterprises (SMEs). It examines AI applications such as predictive analytics, scenario planning, and risk identification to improve operational efficiency and decision-making. By combining AI tools with foresight methodologies, the proposed framework helps SMEs anticipate market disruptions, adapt to evolving business environments, and build sustainable growth strategies. Addressing challenges like financial constraints and regulatory issues, this article provides practical insights for industry professionals and academics, highlighting effective strategies for leveraging AI to strengthen SME resilience and competitiveness.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102835"},"PeriodicalIF":10.1,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436987","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 transformation and socio-economic development in emerging economies: A multinational analysis","authors":"Lemuel Kenneth David ,&nbsp;Jianling Wang ,&nbsp;William Brooks ,&nbsp;Vanessa Angel","doi":"10.1016/j.techsoc.2025.102834","DOIUrl":"10.1016/j.techsoc.2025.102834","url":null,"abstract":"<div><div>While digital technologies have the potential to significantly boost socio-economic development, their impact varies across emerging economies. This study investigates the influence of internet and mobile penetration on economic growth and human development indices in 30 emerging economies from 2008 to 2023. Using advanced econometric models, structural equation modeling (SEM), and data envelopment analysis (DEA), the research offers a detailed analysis of digital transformation's role in these regions. Case studies from Ghana, Indonesia, and Venezuela provide contextual insights, highlighting the importance of robust digital governance. The results indicate a strong correlation between digital penetration and GDP growth, contingent on effective governance structures. The study concludes with key policy recommendations to enhance digital infrastructure and governance for sustainable development.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102834"},"PeriodicalIF":10.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429238","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 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":"Forecasting the green behaviour level of Chinese enterprises: A conjoined application of the autoregressive integrated moving average (ARIMA) model and multi-scenario simulation","authors":"Liping Wang ,&nbsp;Longjun Chen ,&nbsp;Shucen Jin ,&nbsp;Chuang Li","doi":"10.1016/j.techsoc.2025.102825","DOIUrl":"10.1016/j.techsoc.2025.102825","url":null,"abstract":"<div><div>Enterprises' green behaviour level (EGBL) is an important reflection of a country's green development progress. Gaining foresight into the future trends of EGBL can provide a roadmap for achieving national carbon peak and carbon neutrality ('dual carbon') goals. However, existing research has primarily focused on the factors influencing corporate green behaviour and their potential impacts, whereas predictive studies on EGBL remain underexplored. To address this research gap, this study first combines the characteristics of sustainable development of enterprises and develops a more comprehensive Chinese EGBL evaluation system from 26 evaluation indicators including five positive dimensions and one negative dimension. And then it calculates EGBL based on panel data from 828 industrial enterprises between 2010 and 2020. Subsequently, the study develops the Autoregressive Integrated Moving Average model (ARIMA) and scenario analysis models to conduct a comprehensive, multilevel forecast of the EGBL. The prediction results of EGBL based on the ARIMA model show that: Whether in 2030 or 2060, the EGBL in the middle reaches of the Yangtze River is the highest, and the EGBL in the northeast region is the lowest. The EGBL of state-owned enterprises was higher than that of non-state-owned enterprises. In terms of industry, EGBL ranks highest to lowest in the high-tech, manufacturing, energy, and resource industries. The results of the prediction of EGBL based on the scenario analysis method showed that regardless of the scenario, the overall trend of EGBL continued to increase. In similar scenarios, the evolution of environmental regulations and technological progress from slow to medium growth has a limited effect on EGBL. Only if environmental regulations and technological progress develop rapidly can a significant increase in EGBL be achieved. A cross-scenario analysis shows that for certain environmental regulations and technological progress, the gap in the EGBL caused by changes in economic growth, industrial structure and the degree of urbanisation is relatively small. Therefore, environmental regulations and technological progress are important factors contributing to differences in EGBL. Finally, based on the above prospective analysis, this study identified possible future development paths to improve EGBL in different regions of China.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102825"},"PeriodicalIF":10.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372910","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":"How do users adopt AI-generated content (AIGC)? An exploration of content cues and interactive cues","authors":"Chenxi Li ,&nbsp;Yixun Lin ,&nbsp;Ruqing Chen ,&nbsp;Jing (Elaine) Chen","doi":"10.1016/j.techsoc.2025.102830","DOIUrl":"10.1016/j.techsoc.2025.102830","url":null,"abstract":"<div><div>Despite the growing adoption of AI-generated content (AIGC), its full potential remains underexplored. This study investigates the factors driving AIGC adoption and uncovers the psychological mechanisms underlying this process, grounded on the Information Adoption Model (IAM) integrated with the Cognition-Motivation-Emotion framework. Based on Structural Equation Modeling analysis, we find that AIGC adoption is shaped by content cues (perceived intelligence and anthropomorphism) and interactive cues (performance and effort expectancy), with emotions mediating the adoption process. This study enriches information processing literature by advancing IAM to accommodate the dynamic and iterative nature of AIGC adoption. It also establishes AIGC as a distinct category of digital content for the digital content adoption literature. Moreover, it shifts the focus of AI adoption research from technology adoption to content adoption.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102830"},"PeriodicalIF":10.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422627","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}