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Getting a deal: A study on innovation and acquisition value 达成交易:创新与收购价值研究
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.technovation.2025.103423
Joshua B. Sears
The value of technological acquisitions has continued to climb, with an increasing volume of megadeals exceeding $5 billion. While there has been a plethora of research focused on either post-acquisition innovative productivity or value creation, there has been a lack of research that accounts for the post-acquisition innovative productivity of the target employees relative to the cost to acquire the target. We utilize social identity theory to explicate how technological overlap and similarity in technological prestige affect the antecedents of organizational identification (i.e., distinctiveness, prestige, and continuity) and thus, post-acquisition innovative productivity, while we utilize a strategic factor market perspective to examine their effect on the price paid for the target. In doing so, we develop a measure of innovation return on innovation (i.e., innovative productivity/target price). We submit and find evidence that technological overlap and similarity in prestige facilitate identification as the acquirer receives a greater innovation ROI with target and acquirer collaboration; however, we find that the target having higher prestige negatively influences collaborative innovation ROI. Finally, we find that the acquisition value moderates the effects that technological overlap, similarity in prestige, and the target being more prestigious have on innovation ROI from target and acquirer collaboration.
技术收购的价值继续攀升,大型交易的数量不断增加,超过50亿美元。虽然有大量的研究集中在收购后的创新生产力或价值创造上,但相对于收购目标的成本,目标员工的收购后创新生产力的研究一直缺乏。我们利用社会认同理论来解释技术声望中的技术重叠和相似性如何影响组织认同的前因(即独特性、声望和连续性),从而影响收购后的创新生产率,同时我们利用战略因素市场视角来研究它们对收购目标所支付价格的影响。在此过程中,我们开发了一种衡量创新回报的方法(即创新生产率/目标价格)。我们提交并发现证据表明,技术重叠和声誉相似性有助于识别,因为收购方在目标和收购方合作下获得更大的创新投资回报率;然而,我们发现拥有更高声望的目标对协同创新的投资回报率有负向影响。最后,我们发现收购价值调节了技术重叠、声望相似和目标更有声望对并购双方合作创新投资回报率的影响。
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引用次数: 0
Perceived innovativeness: A supervised latent-dirichlet-allocation-based approach 感知创新:一种基于监督的潜在狄利克雷分配方法
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2025-12-06 DOI: 10.1016/j.technovation.2025.103440
Fabian Stein, Jennifer Schein, Niklas Bayrle-Kelso, Merlin Bartel
Innovation is a crucial driver of competitiveness, yet traditional metrics fail to capture its full scope. Therefore, holistic approaches encompassing a wider variety of innovation types are needed. We conceptualize perceived innovativeness as an externally attributed judgment formed under information asymmetry, where financial analysts act as informed intermediaries translating firms’ disclosures into credible innovation signals. Following this concept, this paper extends an existing LDA method by introducing a supervised approach (sLDA), trained with Research & Development (R&D) intensity. This variation addresses the gap between the dynamic, multifaceted nature of innovation and the limitations of prevailing metrics. We analyzed 1606 analyst reports from 499 European companies to test our approach. Our findings show that, compared to unsupervised approaches, the sLDA approach yields more accurate results in modelling perceived innovativeness. Furthermore, we demonstrate robust results over the period of 2019–2022: the supervised model achieves consistently lower mean absolute rank errors compared to the unsupervised baseline and, in most industries, than R&D-based benchmarks. We also identify influential topics and find fixed-effects-robust associations with patent indicators, with rank-based evaluation reducing sensitivity to outliers. This study contributes to the ongoing discourse on innovation assessment and benchmarking by linking language-based perception with signaling theory and offering a method that captures perceived innovation as expressed in analyst language. It provides managers with a tool to support strategic planning, investors with an additional signal of perceived innovation and regulators with insights into innovation narratives complementing R&D and patent disclosures.
创新是竞争力的关键驱动力,但传统的衡量标准未能充分体现创新的范围。因此,需要包含更广泛的创新类型的整体方法。我们将感知创新性概念化为信息不对称下形成的外部归因判断,其中金融分析师充当知情中介,将公司的披露转化为可信的创新信号。遵循这一概念,本文通过引入监督方法(sLDA)扩展了现有的LDA方法,该方法经过了研究与开发(R&;D)强度的训练。这种变化解决了创新的动态、多面性与现行指标的局限性之间的差距。我们分析了来自499家欧洲公司的1606份分析师报告来检验我们的方法。我们的研究结果表明,与无监督方法相比,sLDA方法在模拟感知创新方面产生了更准确的结果。此外,我们在2019-2022年期间展示了稳健的结果:与无监督基线相比,监督模型的平均绝对排名误差始终较低,并且在大多数行业中,比基于研发的基准更低。我们还确定了有影响力的主题,并发现固定效应与专利指标之间的强大关联,基于排名的评估降低了对异常值的敏感性。本研究通过将基于语言的感知与信号理论联系起来,并提供一种捕捉以分析师语言表达的感知创新的方法,为正在进行的创新评估和基准测试的讨论做出了贡献。它为管理者提供了一种支持战略规划的工具,为投资者提供了感知创新的额外信号,为监管机构提供了对创新叙述的见解,补充了研发和专利披露。
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引用次数: 0
Employee wellbeing: A computational review on the consequences of workplace automation 员工福利:对工作场所自动化后果的计算回顾
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2025-11-28 DOI: 10.1016/j.technovation.2025.103424
Alena Valtonen , Jaan-Pauli Kimpimäki , Nina Savela
The integration of automation into workplaces presents complex implications for employee wellbeing. Drawing on the Job Demands–Resources (JD-R) model, this study reviews how automation-enabling technologies generate new job demands and resources across four dimensions of employee wellbeing: performance, physical wellbeing, mental wellbeing, and workplace relationships. Combining a computational literature review with qualitative content analysis, we identify and synthesize a multidisciplinary body of related literature. Our analysis reveals that automation disproportionately introduces new or intensified demands—particularly in performance, mental and relational dimensions—while resources tend to cluster around performance and physical wellbeing. Further, we show how these effects often spill across wellbeing dimensions, with technologies designed to improve efficiency often resulting in unintended cognitive, emotional, or social strain. Our synthesis extends the JD-R framework to better capture the distribution, alignment, and cross-domain effects of automation-induced changes in job characteristics, offering a structured agenda for future research and highlighting practical implications for human-centric technology design, organizational management, and employee support.
自动化与工作场所的融合对员工的幸福感产生了复杂的影响。利用工作需求-资源(JD-R)模型,本研究回顾了自动化技术如何在员工福利的四个维度上产生新的工作需求和资源:绩效、身体健康、心理健康和工作场所关系。结合计算文献回顾与定性内容分析,我们确定并综合相关文献的多学科体。我们的分析表明,自动化不成比例地引入了新的或强化的需求——特别是在绩效、心理和关系维度上——而资源往往集中在绩效和身体健康上。此外,我们还展示了这些影响是如何渗透到健康维度的,旨在提高效率的技术往往会导致意想不到的认知、情感或社会压力。我们的综合扩展了JD-R框架,以更好地捕捉自动化引起的工作特征变化的分布、对齐和跨领域影响,为未来的研究提供了一个结构化的议程,并强调了以人为中心的技术设计、组织管理和员工支持的实际含义。
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引用次数: 0
Editorial on emerging technologies, crowdfunding, and entrepreneurship in emerging markets 关于新兴技术、众筹和新兴市场创业的社论
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2025-12-31 DOI: 10.1016/j.technovation.2025.103461
Nadia Zahoor , Albert Danso , Jie Wu , Samuel Adomako , Zaheer Khan
This special issue explores how emerging technologies are transforming entrepreneurial finance through crowdfunding in emerging markets. While entrepreneurs in these contexts face institutional voids and limited access to traditional finance, digital technologies such as mobile payments, platform algorithms, and machine learning are enabling new forms of resource mobilization. This editorial highlights three key insights: 1) digital technologies such as mobile payments and platform algorithms are transforming resource mobilization and legitimacy-building for entrepreneurs facing institutional voids; 2) crowdfunding serves not only as an alternative financing mechanism but also as a catalyst for inclusion, resilience, and innovation; and 3) platform governance and algorithmic mediation raise pressing questions of fairness and trust. We outline future research opportunities in digital affordances, informal–formal financing interactions, and policy frameworks for financial inclusion and sustainable development. The discussion advances theoretical perspectives on digitally mediated finance while offering practical guidance for entrepreneurs, policymakers, and development institutions seeking to leverage crowdfunding for venture growth in underrepresented economies.
本期特刊探讨了新兴技术如何通过新兴市场的众筹改变创业融资。虽然这些情况下的企业家面临制度空白和传统金融渠道有限,但移动支付、平台算法和机器学习等数字技术正在实现新形式的资源调动。这篇社论强调了三个关键观点:1)移动支付和平台算法等数字技术正在改变面临制度空白的企业家的资源动员和合法性建设;2)众筹不仅可以作为另一种融资机制,还可以作为包容性、弹性和创新的催化剂;3)平台治理和算法调解提出了公平和信任的紧迫问题。我们概述了未来在数字支持、非正式-正式融资互动以及普惠金融和可持续发展政策框架方面的研究机会。讨论提出了数字中介金融的理论观点,同时为寻求在代表性不足的经济体中利用众筹促进风险增长的企业家、政策制定者和发展机构提供了实践指导。
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引用次数: 0
Towards regenerative innovation: A holistic sextuple helix innovation model for pursuing the digital, ecological, and just transitions 走向再生式创新:追求数字化、生态化、公正化转型的整体六螺旋创新模式
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.technovation.2026.103480
Gema del Río Castro, María Camino González Fernández, Ángel Uruburu Colsa
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引用次数: 0
Revisiting technology races: Evidence from Indian healthcare EMR data 重新审视技术竞赛:来自印度医疗保健电子病历数据的证据
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.technovation.2026.103481
Sawan Rathi , Anindya S. Chakrabarti , Chirantan Chatterjee , Anthony Vipin Das , Raja Narayanan
Technology replacement is a frequent feature of firms’ innovation journey. However, the internal working of replacement of an old technology by a new one is typically blurred – with three simultaneously interacting mechanisms – demand-pull, technology-push, and a combination of market and non-market institutions. In this paper, we disentangle them using novel electronic medical records (EMR) data from one of the largest eye-care hospital chains in Asia. Specifically, we study a race between a newer high-end medical scanning technology replacing an older and less costly technology. We exploit the COVID-19 lockdown shock in a natural experiment setup, which led to concurrent shifts in the demand and supply of a medical scanning technology. Demand-pull generated via patients propelled new technology adoption as the supply of new technology increased in tandem. This was a cohort-specific phenomenon on the supply side, with an age-identified cohort of physicians driving the adoption, and the replacement was measurably welfare-enhancing. Fixed price for treatment ensures that the replacement was not driven by market-led incentives. We conclude by discussing management of innovation through demand- and supply-side as a strategy for the firms.
技术替代是企业创新过程中经常出现的特征。然而,新技术替代旧技术的内部运作通常是模糊的,有三种同时相互作用的机制——需求拉动、技术推动以及市场和非市场机构的结合。在本文中,我们使用来自亚洲最大的眼科连锁医院之一的新型电子医疗记录(EMR)数据来解开它们。具体来说,我们研究了一种新的高端医疗扫描技术取代旧的、成本更低的技术之间的竞争。我们在自然实验设置中利用COVID-19封锁冲击,导致医疗扫描技术的需求和供应同时发生变化。随着新技术供应的增加,由患者产生的需求拉动推动了新技术的采用。这是供给侧的一种特定群体现象,一群年龄确定的医生推动了这种采用,这种替代可以显著提高福利。治疗的固定价格确保了替代不受市场激励的驱动。最后,我们讨论了通过需求侧和供给侧作为企业战略的创新管理。
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引用次数: 0
Developing a holistic circular business model framework for the EV battery closed-loop supply chain: A data-driven approach 为电动汽车电池闭环供应链开发整体循环商业模式框架:数据驱动方法
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-31 DOI: 10.1016/j.technovation.2026.103487
Mao Xu , Quang Huy Duong , Carlos Fernandez De Arroyabe Arranz , Wenxian Sun , Li Zhou
The transition toward circularity in the electric vehicle batteries (EVBs) sector demands circular business models that address environmental, economic, and regulatory challenges. Grounded in the resource-based view (RBV) and industrial ecology (IE) perspectives, this study develops a data-driven framework to map circular business models (CBMs) across the EVBs' closed-loop supply chain (CLSC). The framework is developed by identifying CBMs from existing academic literature and analysing industry practices through press releases, resulting in a detailed map of value creation across the EVBs' lifecycle. A hybrid methodology combining topic modelling and literature synthesis was employed, using data from over 1800 industry press releases and academic databases. The findings reveal nine CBMs in literature and industry: battery leasing, charging as a service, remanufacturing, repurposing, recycling, repairing, refurbishing, EV sharing, and technology-led models, with notable applications across the EVBs’ CLSC. This study makes significant theoretical and practical contributions by integrating CBMs within an EVB CLSC framework, thus highlighting value creation, value delivery, and value capture mechanisms across phases from production to second-life applications. The findings offer strategic insights for industry practitioners and policymakers, supporting sustainable EVB lifecycles and advancing circularity objectives. This framework provides a roadmap for industry implementation and informs broader sustainable practices in resource-intensive sectors.
电动汽车电池(evb)行业向循环转型需要循环的商业模式,以应对环境、经济和监管方面的挑战。基于资源基础观点(RBV)和工业生态学(IE)的观点,本研究开发了一个数据驱动的框架,以映射evb闭环供应链(CLSC)中的循环商业模式(CBMs)。该框架是通过从现有的学术文献中确定信任措施,并通过新闻稿分析行业实践来开发的,从而得出evb整个生命周期中价值创造的详细地图。采用了主题建模和文献综合的混合方法,使用了来自1800多个行业新闻稿和学术数据库的数据。研究结果揭示了文献和行业中的九个CBMs:电池租赁、充电即服务、再制造、再利用、回收、维修、翻新、电动汽车共享和技术主导模式,这些CBMs在电动汽车制造商的CLSC中得到了显著应用。本研究通过在EVB CLSC框架内整合CBMs,从而突出了从生产到第二生命应用的各个阶段的价值创造、价值交付和价值获取机制,做出了重要的理论和实践贡献。研究结果为行业从业者和政策制定者提供了战略见解,支持可持续的EVB生命周期和推进循环目标。该框架为行业实施提供了路线图,并为资源密集型行业更广泛的可持续实践提供了信息。
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引用次数: 0
Automation — Augmentation of Artificial Intelligence and Human Intelligence 自动化——人工智能和人类智能的增强
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-02 DOI: 10.1016/j.technovation.2025.103462
Rishav Raj , Amit Kumar Srivastava , Ratikanta Behera
We studied how Artificial Intelligence (AI) and Human Intelligence (HI) can substitute (automate) and complement (augment) each other over time. Through the adaptation of the Lotka–Volterra predator–prey model, we provide a mathematical framework to depict the cyclical interaction. These models are supported by real-world examples that highlight how AI and HI co-evolve, continuously optimizing task efficiency. The findings challenge the “either-or” view of automation and augmentation, presenting a nuanced perspective on how AI–HI mutually enhance each other over time.
我们研究了人工智能(AI)和人类智能(HI)如何随着时间的推移相互替代(自动化)和补充(增强)。通过对Lotka-Volterra捕食者-猎物模型的改进,我们提供了一个描述周期性相互作用的数学框架。这些模型由现实世界的例子支持,这些例子突出了AI和HI如何共同进化,不断优化任务效率。研究结果挑战了自动化和人工智能“非此即彼”的观点,对人工智能和人工智能如何随着时间的推移相互增强提出了微妙的观点。
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引用次数: 0
Buying from a friend via Online Platforms? A cautionary tale of using friendship to support transactions 通过在线平台从朋友那里购买?一个利用友谊来支持交易的警世故事
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.technovation.2026.103483
Weiyi Zhang , Yong Wang , Zhen Sun , Ke Rong
While observational studies have long suggested a positive correlation between social relationships and online transactions, surprisingly little research demonstrates a causal link. Effects identified in observational data generally conflate the causal Information Effect with the non-causal Homophily/environment Effect. Against this background, we conducted a large-scale randomized field experiment on a major Chinese P2P platform, in which we manipulate buyer and seller's awareness of their pre-existing friendship ties. We provide the first empirical evidence that the effect of revealing friendship information between transaction parties is statistically insignificant. To explain this counterintuitive result, we develop a theoretical model of “relationship risk,” proposing that in high-friction settings, the fear of a transaction-related misunderstanding damaging a valuable social bond can counteract the benefits of trust. We also demonstrate that reliance on observational estimates of the “Total Effect” of friendship significantly overstates the benefits of providing friendship information. Our findings contribute to a better understanding of online anonymous P2P transactions, highlight the potential fallacy of relying on observational data in business studies, and introduces the “relationship risk” model to explain why social ties may fail to facilitate, or even hinder, commerce in high-friction settings.
虽然观察性研究长期以来一直表明社交关系与在线交易之间存在正相关关系,但令人惊讶的是,很少有研究表明两者之间存在因果关系。在观测数据中发现的效应通常将因果信息效应与非因果同质性/环境效应混为一谈。在此背景下,我们在中国一家主要的P2P平台上进行了一项大规模的随机现场实验,在实验中,我们操纵了买家和卖家对他们已经存在的友谊关系的认识。我们提供了第一个经验证据,表明交易双方之间的友谊信息披露的影响在统计上不显著。为了解释这个违反直觉的结果,我们建立了一个“关系风险”的理论模型,提出在高摩擦环境中,对交易相关误解破坏宝贵社会关系的恐惧会抵消信任的好处。我们还证明,依赖于对友谊“总效应”的观察性估计,大大夸大了提供友谊信息的好处。我们的发现有助于更好地理解在线匿名P2P交易,强调了在商业研究中依赖观察数据的潜在谬误,并引入了“关系风险”模型来解释为什么在高摩擦环境中,社会关系可能无法促进甚至阻碍商业。
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引用次数: 0
Can artificial intelligence orientation enhance supply chain trust? evidence of corporate trade credit 以人工智能为导向能否增强供应链信任?公司贸易信用证明
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.technovation.2026.103486
Yunfang Guan , Hao Tian , Zhen Tang , Ming Tian , Xiaotong Li
Despite extensive research on the internal benefits of artificial intelligence (AI) for organizations, only limited attention has been given to the question of how AI orientation influences external supply chain relationships, particularly with respect to the trust mechanisms associated with financial cooperation. This study addresses this gap by investigating whether and how firms' AI orientation affects suppliers' trade credit provision decisions (a tangible indicator of supply chain trust). Drawing on signaling theory and knowledge spillover theory, we examine how AI orientation serves as both a quality signal and a source of knowledge spillovers that enhance interorganizational trust within supply chain networks. Utilizing a comprehensive dataset of 4183 publicly listed Chinese firms from 2000 to 2022, we find that AI orientation positively influences trade credit provision, with supply chain transparency, knowledge breadth, and generalist CEO serving as positive moderators, while supply chain efficiency acts as a negative moderator. Our findings deepen the understanding of AI's external value creation mechanisms and provide new insights for supply chain relationship management.
尽管对人工智能(AI)对组织的内部利益进行了广泛的研究,但对人工智能导向如何影响外部供应链关系,特别是与金融合作相关的信任机制的问题的关注有限。本研究通过调查企业的人工智能取向是否以及如何影响供应商的贸易信贷提供决策(供应链信任的有形指标)来解决这一差距。利用信号理论和知识溢出理论,我们研究了人工智能取向如何作为质量信号和知识溢出的来源,从而增强供应链网络中组织间的信任。利用2000年至2022年4183家中国上市公司的综合数据集,我们发现人工智能导向正向影响贸易信贷供应,供应链透明度、知识广度和多面手CEO是正向调节因子,而供应链效率是负向调节因子。我们的研究结果加深了对人工智能外部价值创造机制的理解,并为供应链关系管理提供了新的见解。
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引用次数: 0
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Technovation
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