Technology in Society最新文献_第7页

How automotive firms enable value creation within mature innovation ecosystems: The case of Polestar 汽车企业如何在成熟的创新生态系统中实现价值创造：以北极星为例

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-03 DOI: 10.1016/j.techsoc.2026.103218

Maya Hoveskog , Magnus Holmén , Anya Ernest , Magnus Bergquist

Complementors and their role in inducing and supporting the value co-creation of other complementors have rarely been in focus in innovation ecosystems studies. Specifically, the literature does not explain how a complementor can transition from a peripheral role to becoming a focal complementor. This paper explains how a peripheral complementor characterized by scarce resources and poorly aligned capabilities can overcome these obstacles through co-creation with other complementors and the focal actor of an innovation ecosystem. Through a qualitative case study approach, we show how a product-centric company, the automotive firm Polestar, entered a mature innovation ecosystem centered on the digital platform Android Automotive OS, thereby enhancing Polestar's onboard app development during the period 2018–2022. Using a thematic analysis, the paper shows how a complementor can transition to a focal position by creating and enabling a sub-ecosystem within a mature innovation ecosystem. The focal complementor is capable of aligning complementors to co-create value while simultaneously exploiting the focal actor's resources. The paper explains how the three mechanisms of strategic focus, agile practices, and capability building allow the focal complementor to maintain internal and external legitimacy and mobilize resources.

互补体及其在诱导和支持其他互补体共同创造价值中的作用在创新生态系统研究中很少受到关注。具体来说，文献没有解释互补如何从外围角色转变为焦点互补。本文解释了以资源稀缺和能力不一致为特征的外围互补企业如何通过与其他互补企业和创新生态系统的核心参与者共同创造来克服这些障碍。通过定性案例研究方法，我们展示了以产品为中心的汽车公司Polestar如何进入一个以数字平台Android automotive OS为中心的成熟创新生态系统，从而在2018-2022年期间增强了Polestar的车载应用程序开发。通过专题分析，本文展示了如何通过在成熟的创新生态系统中创建和启用子生态系统来实现互补过渡到焦点位置。焦点互补者能够协调互补者共同创造价值，同时利用焦点行动者的资源。本文解释了战略焦点、敏捷实践和能力建设这三种机制如何使焦点互补保持内部和外部合法性并调动资源。

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引用次数: 0

Beyond ‘good’ or ‘bad’: Investigating trust and techno-resistance in postgraduate students' voluntary use of AI technologies 超越“好”或“坏”：调查研究生自愿使用人工智能技术的信任和技术抵制

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.techsoc.2026.103213

Norzaidi Mohd Daud

The rise of generative artificial intelligence (AI) has created both opportunities and tensions in postgraduate education, where voluntary adoption is shaped not only by technical functionality but also by perceptions of trust, content quality, and academic integrity. This study extends technology adoption theories by proposing a dual-path model that distinguishes the drivers of voluntary adoption from those of techno-resistance—two processes often treated as identical in prior research. Using survey data from 170 postgraduate students in Malaysia, the findings demonstrate that functional trust (confidence in AI’s stability and reliability) significantly predicts voluntary usage (β = 0.168, p < 0.001). In contrast, evaluative trust (confidence in AI’s intellectual adequacy and academic validity) does not reduce resistance. This highlights an asymmetry in the role of trust, where technical dependability promotes adoption, but academic credibility does not automatically diminish resistance. The study also introduces the construct of epistemic utility, defined as the perceived richness, relevance, and scholarly value of AI-generated content. Results show that epistemic utility is the strongest predictor of adoption (β = 0.785, p < 0.001), underscoring students’ emphasis on content quality over technical reliability. Moreover, while system reliability reduces techno-resistance (β = −0.176, p = 0.034), adoption and resistance stem from distinct antecedents. Significantly, voluntary usage improves academic performance (β = 0.270) more than resistance hinders it (β = −0.210). Together, these findings advance theory by clarifying trust differentiation and introducing epistemic utility as a critical lens for understanding postgraduate engagement with AI.

生成式人工智能（AI）的兴起在研究生教育中既创造了机会，也带来了紧张，在研究生教育中，自愿采用不仅受到技术功能的影响，还受到信任、内容质量和学术诚信的影响。本研究扩展了技术采用理论，提出了一个双路径模型，将自愿采用的驱动因素与技术抵抗的驱动因素区分开来，这两个过程在之前的研究中通常被视为相同。使用来自马来西亚170名研究生的调查数据，研究结果表明，功能信任（对人工智能稳定性和可靠性的信心）显着预测自愿使用（β = 0.168, p < 0.001）。相比之下，评估性信任（对人工智能智力充分性和学术有效性的信心）并没有减少阻力。这凸显了信任角色的不对称，技术上的可靠性促进了采用，但学术上的可信度并不会自动减少抵制。该研究还介绍了认知效用的结构，定义为人工智能生成内容的感知丰富性、相关性和学术价值。结果显示，认知效用是采用的最强预测因子（β = 0.785, p < 0.001），强调学生对内容质量的重视超过技术可靠性。此外，虽然系统可靠性降低了技术阻力（β = - 0.176, p = 0.034），但采用和阻力源于不同的前因。值得注意的是，自愿使用手机能提高学习成绩（β = 0.270），而不使用手机会阻碍学习成绩（β = - 0.210）。总之，这些发现通过澄清信任差异和引入认知效用作为理解研究生参与人工智能的关键视角，推进了理论的发展。

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引用次数: 0

Causal forest estimation of heterogeneous effects of digital technologies on the national entrepreneurial process in emerging and developing countries 新兴和发展中国家数字技术对国家创业过程异质效应的因果森林估计

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-12-23 DOI: 10.1016/j.techsoc.2025.103208

Najeh Aissaoui , Zahida Ayari , Abir Smiti

Digital technologies are creating unprecedented entrepreneurial opportunities to overcome the main challenges facing emerging and developing economies. This paper analyzes data from 35 emerging and developing countries spanning 2001 to 2023 to examine the multifaceted effects of digital technologies on key aspects of entrepreneurship, including motivation, entrepreneurial intention, business creation, innovation, and viability. Using the causal forest method, our empirical findings show that while digital technologies significantly boost motivation, entrepreneurial intention, the conversion of this intention into actual business creation, innovation, and viability strongly depends on the institutional context-particularly government support, access to finance, and social norms. Our study also reveals heterogeneity based on income levels, with stronger effects observed in less mature markets. These results emphasize the need to complement digital investments with tailored policies to fully unlock entrepreneurial potential.

数字技术正在创造前所未有的创业机会，以克服新兴和发展中经济体面临的主要挑战。本文分析了35个新兴国家和发展中国家2001年至2023年的数据，考察了数字技术对创业关键方面的多方面影响，包括创业动机、创业意图、商业创造、创新和生存能力。利用因果森林方法，我们的实证研究结果表明，虽然数字技术显著提高了创业动机和创业意向，但这种意向转化为实际的商业创造、创新和生存能力在很大程度上取决于制度背景，特别是政府支持、融资渠道和社会规范。我们的研究还揭示了基于收入水平的异质性，在不太成熟的市场中观察到更强的影响。这些结果强调，需要通过量身定制的政策来补充数字投资，以充分释放创业潜力。

引用次数: 0

Industrial upgrading policies and export resilience: An empirical assessment of technology investment in Taiwan's manufacturing sector 产业升级政策与出口弹性：台湾制造业技术投资的实证评估

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-12-19 DOI: 10.1016/j.techsoc.2025.103204

Chiu-Chia Chen , Chien-Yi Huang

Amid global digital transformation and the restructuring of manufacturing supply chains, enhancing export resilience has become a central focus of industrial policy. Although many countries have promoted technology upgrading and capital incentives, empirical evaluations of their industry-level structural effects remain limited. This study examines Taiwan's manufacturing sector from 2016 to 2023, employing a fixed-effects panel model to assess the impact of technology investment penetration (a proxy for policy-driven investment) on export structure performance. The results show that technology investment significantly enhances export orientation and maintains positive effects during external shocks. However, early transformation stages exhibit increased volatility and lagged effects, reflecting a dynamic pattern where short-term instability coexists with long-term upgrading. The effects of policy incentives are moderated by industrial scale; outcomes in sectors with a higher proportion of large enterprises tend to be more pronounced but exhibit greater short-term fluctuations. By proposing an integrated structural-dynamic framework, this study shows that technology-oriented investment not only drives upgrading and technology absorption but also reinforces export stability and industrial resilience. These findings offer timely policy insights for export-oriented economies undergoing similar transitions.

在全球数字化转型和制造业供应链重组的背景下，增强出口韧性已成为产业政策的核心重点。虽然许多国家都促进了技术升级和资本激励，但对其产业层次结构效应的实证评价仍然有限。本研究以2016年至2023年台湾制造业为研究对象，采用固定效应面板模型评估技术投资渗透（政策驱动投资的代理）对出口结构绩效的影响。结果表明，技术投资显著增强了出口导向，并在外部冲击中保持正向效应。然而，早期转型阶段表现出更大的波动性和滞后效应，反映了短期不稳定与长期升级并存的动态模式。政策激励的效果受产业规模的调节；在大企业比例较高的部门，结果往往更为明显，但短期波动较大。通过构建一体化的结构-动力框架，本研究表明，技术导向型投资不仅能促进升级和技术吸收，还能增强出口稳定性和产业弹性。这些发现为正在经历类似转型的出口导向型经济体提供了及时的政策见解。

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引用次数: 0

Rethinking AI anthropomorphism: A holistic conceptualization and scale across AI systems and service contexts 重新思考人工智能拟人化：在人工智能系统和服务环境中的整体概念化和规模

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-12-11 DOI: 10.1016/j.techsoc.2025.103189

Yingwei (Wayne) Xu , Christina G. Chi , Dogan Gursoy , Ruiying (Raine) Cai

Building on Gestalt theory, this research introduces a holistic framework for defining artificial intelligence (AI) anthropomorphism, which guides the development of a parsimonious Scale of AI Anthropomorphism (SAIA). Through a systematic literature review, seven focus group discussions, and rigorous six-step scale development procedures, the research conceptualizes and validates a multidimensional framework that captures both external and internal human-like traits, including virtues and vices of anthropomorphic AI. Based on 2944 valid responses from five studies, a 40-item, six-dimensional parsimonious SAIA was developed, namely, human-like appearance, cognitive competency, adaptive capacity, social intelligence, morality, and fallibility. The scale demonstrated strong psychometric properties through comprehensive qualitative and quantitative validation. The SAIA serves as a robust tool for assessing the anthropomorphism of both tangible (e.g., robots) and intangible (e.g., chatbots) AI across normal service and service failure contexts.

在格式塔理论的基础上，本研究引入了一个定义人工智能（AI）拟人化的整体框架，该框架指导了人工智能拟人化简约量表（SAIA）的开发。通过系统的文献综述、七个焦点小组讨论和严格的六步规模开发程序，该研究概念化并验证了一个多维框架，该框架捕捉了外在和内在的类人特征，包括拟人化人工智能的优点和缺点。基于5项研究的2944份有效问卷，构建了一个包含40个项目的六维精简SAIA，即类人外貌、认知能力、适应能力、社会智力、道德和易错性。通过全面的定性和定量验证，该量表显示出较强的心理测量特性。SAIA是一个强大的工具，用于评估在正常服务和服务故障环境中有形（例如，机器人）和无形（例如，聊天机器人）人工智能的拟人化。

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引用次数: 0

Grassroots digital humanitarianism and regenerative synergy in the 2023 Türkiye earthquake 2023年日本地震中的基层数字人道主义和再生协同

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-11-21 DOI: 10.1016/j.techsoc.2025.103174

Deniz Tuncalp , Dilek Cetindamar

Large-scale disasters often reveal a structural disconnect between formal state agencies and agile grassroots humanitarian organizations. This study investigates how digital platforms can bridge this institutional gap. Employing a qualitative case study of the grassroots organization Ahbap during the 2023 Türkiye earthquakes, we thematically analyze 1577 X posts. Findings demonstrate that Ahbap leveraged social media not only for resource mobilization and community engagement but also for performing radical transparency and engaging in strategic coordination with formal state actors. Based on these findings, the study develops the "regenerative synergy" framework, which illustrates how digital platforms can facilitate a hybrid governance model that links the agility of grassroots actors with the scale of formal institutions. This study makes concrete theoretical contributions to disaster management literature and provides actionable insights for policymakers and practitioners on integrating grassroots digital practices into formal response strategies.

大规模的灾难往往暴露出正式的国家机构和敏捷的基层人道主义组织之间的结构性脱节。本研究探讨了数字平台如何弥合这一制度差距。本文以2023年基耶地震期间基层组织Ahbap为定性案例，对1577x条帖子进行了主题分析。调查结果表明，Ahbap不仅利用社交媒体调动资源和社区参与，而且还实现了彻底的透明度，并与正式的国家行为体进行战略协调。基于这些发现，该研究开发了“再生协同”框架，该框架说明了数字平台如何促进将基层行动者的敏捷性与正式机构的规模联系起来的混合治理模式。本研究对灾害管理文献做出了具体的理论贡献，并为政策制定者和实践者提供了将基层数字实践纳入正式应对策略的可操作性见解。

引用次数: 0

Technology assessment through a hybrid scenario-based decision Making: Case of wind energy 基于混合场景决策的技术评估：风能案例

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-02 DOI: 10.1016/j.techsoc.2025.103205

Chih-Hung Hsieh , Dana Bakry , Tugrul Daim

This study combines the CRITIC and DEMATEL methods and introduces a new hybrid scenario analysis approach that identifies cross-scenario strategies. We use Taiwan's wind energy industry as a case study to validate the process. Although scenario analysis has been applied across various fields and organization types—including strategic planning, education, training, and recent environmental issues—scholars have highlighted problems such as the subjectivity of qualitative analysis and the lack of quantitative evidence. To address this, this study integrates scenario analysis with quantitative multi-criteria decision analysis to support decision makers in conducting scenario evaluations. We achieve this by applying a multi-criteria approach to analyze the weights of uncertainty axes and causal relationships, leading to management prioritization that yields near-optimal decision analysis and enhances decision quality. Our methodology is validated with a case study in Taiwan's wind energy sector. In the best-case scenario, Taiwan's green energy substitution rate surpasses 20 %, simultaneously fostering new industrial chains in green manufacturing, energy storage, and carbon management. Conversely, under a pessimistic scenario, challenges such as land acquisition issues, tense international relations, grid delays, or regulatory uncertainties could limit renewable energy penetration to below 20 %.

该研究结合了CRITIC和DEMATEL方法，并引入了一种新的混合场景分析方法，用于识别跨场景策略。我们以台湾的风能产业为案例来验证这一过程。尽管情景分析已经应用于各个领域和组织类型，包括战略规划、教育、培训和最近的环境问题，但学者们强调了定性分析的主观性和缺乏定量证据等问题。为了解决这一问题，本研究将情景分析与定量多准则决策分析相结合，以支持决策者进行情景评估。我们通过应用多标准方法来分析不确定性轴和因果关系的权重，从而实现管理优先级，从而产生接近最优的决策分析并提高决策质量。我们的方法通过台湾风能行业的案例研究得到了验证。在最好的情况下，台湾的绿色能源替代率超过20%，同时培育绿色制造、能源储存和碳管理等新产业链。相反，在悲观的情况下，诸如土地征用问题、紧张的国际关系、电网延迟或监管不确定性等挑战可能会将可再生能源的渗透率限制在20%以下。

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引用次数: 0

Innovating against the odds? The impact of regulatory challenges on technology commercialization and product innovation performance 克服困难进行创新？监管挑战对技术商业化和产品创新绩效的影响

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-05 DOI: 10.1016/j.techsoc.2026.103214

Samuel Adomako , Mai Dong Tran

This study investigates how regulatory burden influences product innovation performance in emerging markets. Integrating the institutional theory, we propose that regulatory burden undermines firms’ perceived ability to commercialize new technologies, termed technology commercialization potential, which mediates the negative impact on innovation outcomes. We further examine how this relationship is shaped by two contextual factors: intangible resource advantage and environmental hostility. Using a two-wave, multi-informant survey data from 336 Vietnamese SMEs, the results confirm the mediating role of commercialization potential. Moreover, while intangible resource advantage strengthens the commercialization–innovation link, environmental hostility unexpectedly weakens it, indicating that external pressures can overwhelm firms’ commercialization efforts. These findings contribute to regulatory science and innovation research by highlighting commercialization potential as a critical mechanism through which institutions affect innovation. The study offers insights for managers seeking to overcome institutional barriers and for policymakers aiming to create more innovation-friendly regulatory environments.

本研究探讨监管负担如何影响新兴市场的产品创新绩效。结合制度理论，我们提出监管负担削弱了企业将新技术商业化的感知能力，即技术商业化潜力，从而中介了对创新结果的负面影响。我们进一步研究了这一关系是如何由两个背景因素形成的：无形资源优势和环境敌意。通过对336家越南中小企业的两波、多信息来源调查数据，结果证实了商业化潜力的中介作用。此外，虽然无形资源优势加强了商业化与创新的联系，但环境敌意出人意料地削弱了这种联系，这表明外部压力可以压倒企业的商业化努力。这些发现通过强调商业化潜力作为制度影响创新的关键机制，有助于监管科学和创新研究。这项研究为寻求克服制度障碍的管理者和旨在创造更有利于创新的监管环境的政策制定者提供了见解。

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引用次数: 0

Paradoxical adoption of consumer-facing service technologies: Investigating the role of mindset, learning paradox, and technological context 面向消费者的服务技术的矛盾采用：调查心态、学习悖论和技术背景的作用

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-12-11 DOI: 10.1016/j.techsoc.2025.103196

Xiaodi Liu , Kum Fai Yuen , Miao Su , Xueqin Wang

Human–technology interactions are often infused with paradoxes. This study adopts a paradox perspective to examine the adoption of consumer-facing service technologies (CFSTs). Specifically, we explore how experienced tension and paradoxical mindset influence users' adoption intention through two paradoxical perceptual pathways: functional perceptions (efficiency versus inefficiency) and emotional perceptions (enjoyment versus exhaustion), with learning paradox acting as a mediating mechanism (Study 1). Contextual variations between human- and technology-dominant settings are also examined (Study 2). Data were collected through an online survey of 350 participants and analysed using structural equation modelling. Study 1 shows that both experienced tension and paradoxical mindset shape the paradoxical perceptions. Efficiency and enjoyment positively affect adoption, whereas inefficiency and exhaustion exert non-significant or negative effects. Nevertheless, all perceptions influence adoption positively through the learning paradox, which shows that users transform contradictory experiences into adaptive engagement. Study 2 provides further evidence of contextual differences: paradoxical perceptions are more pronounced in technology-dominant service contexts (e.g., autonomous delivery robot) than in human-dominant contexts (e.g., self-service locker).

人类与技术的互动往往充满了悖论。本研究采用悖论视角考察面向消费者服务技术的采用情况。具体而言，我们通过功能感知（效率与低效率）和情感感知（享受与疲惫）两种矛盾的感知途径，探讨了体验性紧张和矛盾心态如何影响用户的采用意愿，其中学习悖论作为中介机制（研究1）。研究还检查了人类和技术主导环境之间的上下文差异（研究2）。数据是通过350名参与者的在线调查收集的，并使用结构方程模型进行分析。研究1表明，经历过的紧张和矛盾的心态共同塑造了矛盾的感知。效率和享受对收养产生积极影响，而效率低下和疲惫对收养产生不显著或负向影响。然而，所有的感知都通过学习悖论积极地影响采用，这表明用户将矛盾的体验转化为适应性参与。研究2提供了上下文差异的进一步证据：在以技术为主导的服务环境（例如，自动送货机器人）中，矛盾感知比在以人类为主导的环境（例如，自助储物柜）中更为明显。

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引用次数: 0

Why smallholders (do not) adopt productivity-increasing technologies? Developing a smallholder adoption-process model through an in-depth qualitative study in Ethiopia 为什么小农（不）采用提高生产力的技术？通过在埃塞俄比亚进行深入的定性研究，开发一个小农收养过程模型

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-12-27 DOI: 10.1016/j.techsoc.2025.103211

Tamiru Amanu Abetu , Paul T.M. Ingenbleek , K.E. Giller , Endalkachew Wolde-Meskel , Edward Baars

Research and innovation have developed an impressive number of technologies that can increase the agricultural productivity of African smallholders. The impact of technology is nevertheless hindered by the heterogenous and unpredictable adoption patterns of smallholders. Most current studies examine farm-level constraints and environmental barriers (e.g., distance to market and access to financial capital) as the main explanation for variations in adoption. We take a complementary approach that draws on adoption theories from consumer psychology, thus considering the interplay between contextual barriers and the micro-level decision making processes of smallholders with regard to the adoption of technology. Qualitative data on the adoption of legume technologies by Ethiopian smallholders reveal barriers that hinder adoption at three stages of the process: as negative expectations, as impediments to translating adoption intentions into behaviour and as impediments to impact after adoption, thus hindering the continued use of technologies. To overcome adoption barriers, our findings suggest that more attention should be devoted to business innovations through effective product design and the marketing of the technologies, as well as to the development of value chains and business ecosystems within which to bundle technological products with other products and services.

研究和创新已经开发出大量可以提高非洲小农农业生产力的技术。然而，技术的影响因小农采用技术的方式不同和不可预测而受到阻碍。目前的大多数研究将农场层面的限制和环境障碍（例如，到市场的距离和获得金融资本的机会）作为采用差异的主要解释。我们采用了一种互补的方法，借鉴了消费者心理学的采用理论，从而考虑了环境障碍与小农在技术采用方面的微观决策过程之间的相互作用。关于埃塞俄比亚小农采用豆类技术的定性数据揭示了在这一过程的三个阶段阻碍采用的障碍：消极的期望，将采用意图转化为行为的障碍，以及采用后影响的障碍，从而阻碍了技术的继续使用。为了克服采用障碍，我们的研究结果表明，应该更多地关注通过有效的产品设计和技术营销进行业务创新，以及开发价值链和商业生态系统，将技术产品与其他产品和服务捆绑在一起。

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引用次数: 0