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Developing artificial intelligence (AI) capabilities for data-driven business model innovation: Roles of organizational adaptability and leadership
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101851
Swapan Ghosh
More and more industrial businesses leverage AI to optimize operations and introduce new and innovative business models for competitive advantage. Businesses are collecting huge amounts of data from their business processes and plan to utilize them for better customer experience and insights. However, industrial managers are still determining the AI capabilities they need to analyze the data and develop customer-centric business models. Based on the discussions with twenty-five elite informants from five large industrial businesses, in this study, we propose a set of AI capabilities that can help managers develop data-driven business models. We offer a conceptual framework of AI capabilities and their influence on data-driven business model innovation that can guide managers in their transformation journeys.
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引用次数: 0
Examining the role of team boundary buffering as a proactive and reactive stress intervention for boundary spanning new product teams 研究团队边界缓冲作为对跨越边界的新产品团队进行主动和被动压力干预的作用
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2025.101861
Ana I. Rodriguez-Escudero , Pilar Carbonell , Hector Perez-Fernandez , Victor Temprano Garcia
In today’s rapidly evolving business landscape, the capacity of new product development (NPD) teams to innovate hinges significantly on their ability to leverage external networks, known as ‘team boundary spanning’. While this activity is traditionally viewed as beneficial, its potential to exacerbate job stress and consequently diminish team satisfaction and NPD performance demands closer examination. Our research extends this area of inquiry by exploring the impact of team boundary spanning on job stress within NPD teams. Drawing on the conservation of resources theory, we hypothesize that team boundary spanning increases job stress which, in turn, decreases job satisfaction and NPD performance. This study also investigates the role of team boundary buffering as both a proactive and reactive intervention to mitigate the stress experienced by teams. Data were collected from 140 NPD projects in high and medium-high technology firms. Results reveal that team boundary spanning indeed elevates job stress and that high levels of stress correlate with declines in product quality and job satisfaction. Additionally, our results indicate that while team boundary buffering is not an effective proactive stress intervention, it is beneficial as a reactive intervention to the stress precipitated by boundary spanning activities.
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引用次数: 0
Multi-network embeddedness and innovation quality: A panel data analysis based on fsQCA
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2025.101860
Taiye Luo , Juanjuan Qu , Shuo Cheng
Organizations’ embeddedness in networks pertaining to collaboration and knowledge exerts a significant impact on their innovation. This study utilizes patent data from the field of 5 G (the fifth generation of cellular network technology) to examine the effects of organizations’ network embeddedness characteristics—specifically, collaboration breadth and depth, knowledge breadth and depth, and combination breadth and depth—on innovation quality. Furthermore, we utilize panel data fsQCA to explore paths (i.e., configurations of the six specified conditions) that can lead to high innovation quality. The analysis yields four sustainable configurations, which can be categorized as either a collaboration-knowledge dual-driven strategy (with collaboration breadth, collaboration depth, and combination depth as core conditions) or a deep knowledge-driven strategy (with knowledge depth and combination depth as core conditions). These findings provide a comprehensive understanding of the mechanisms influencing innovation quality within the framework of multi-network embeddedness.
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引用次数: 0
Swimming against the stream in Argentina: ’Contrarian’ paths to latecomer catch-up under adversity
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101859
Javier Papa , Mike Hobday
This article examines two unexpectedly successful latecomer firms which emerged from Argentina, a crisis ridden developing economy where the vast majority of firms have languished behind the technology frontier set by global leaders. By comparing the experience of these two unusual firms with that of general trends among successful, mainly Asian latecomers, we hope to throw light on the opportunities facing other firms struggling under adverse economic and policy conditions. Through appreciative theorising we aim to incorporate some ideas from evolutionary economic theory to hopefully extend ‘normal’ (mainly Asian based) latecomer catch-up conceptualisation. The empirical findings, based on a unique and original dataset, suggest that in order to catch-up with global competitors the two latecomer firms were forced to develop strong entrepreneurial capabilities to follow a ‘contrarian path’ in terms of corporate strategy, organizational structures and technological and management capabilities, when policy incentives and macroeconomic conditions pointed them in the opposite direction. The article introduces a new framework to analyse latecomers within the macroeconomic and policy context and raises questions for future latecomer theory, policy and research on latecomer firms’ strategies under adversity.
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引用次数: 0
Business model innovation in the banking sector: How digital technologies transform innovation drivers in value mechanisms innovations
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101858
Ilaria Mancuso , Antonio Messeni Petruzzelli , Umberto Panniello , Giovanni Vaia
Business model innovation (BMI) involves innovating firms’ value creation, delivery, and capture. This paper categorizes the key drivers of BMI, i.e., crucial factors that trigger BMI and sustain the innovation of firms’ value mechanisms, emphasizing how to transform innovation drivers into value mechanisms’ innovations thanks to digital technologies. Through the longitudinal study of four banks’ BMI, we identified three innovation drivers (i.e., globalization, crisis, and customer expectations), triggering three distinct BMI phases (i.e., “stretching”, “streamlining”, and “synergizing”). Findings reveal that the transformation of innovation drivers into value mechanisms innovations requires a growing application of digital technologies across the three phases.
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引用次数: 0
Patent pool and dominant design: An empirical study of patent pool from MPEG-LA 专利池与主导设计:来自 MPEG-LA 的专利池实证研究
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101847
Yunsheng Zhang , Chen Peng , Oluwolenurudeen Omonijo
A patent pool is a marketing alliance that licenses technology to manufacturers. We build on previous research on patent pools that have mainly focused on transaction cost theory to explore the impact of patent pools on innovation. Our results show that the pool's influence on the dominant design depends on the technical characteristics of both the patent pool and the licensor. We found an inverted U-shaped relationship between the age of the patent pool and the dominant design. The difficulty of technology development and the number of licensors in the pool actively moderate the relationship between the age of the patent pool and the dominant design. Our research also found that when licensors are vertically integrated, the dominant patent pool design increases as the pool grows.
专利池是一种向制造商提供技术许可的营销联盟。以往关于专利池的研究主要集中于交易成本理论,我们在此基础上探讨了专利池对创新的影响。我们的研究结果表明,专利池对主导设计的影响取决于专利池和许可人的技术特征。我们发现,专利池的年龄与主导设计之间存在倒 U 型关系。技术开发的难度和专利池中许可人的数量对专利池年龄与主导设计之间的关系有积极的调节作用。我们的研究还发现,当许可人进行垂直整合时,专利池的主导设计会随着专利池的扩大而增加。
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引用次数: 0
Using big data analytics (BDA) for improving decision-making performance in projects 利用大数据分析(BDA)提高项目决策绩效
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101849
Jiwat Ram, Clément Desgourdes
Big data analytics (BDA) is regarded as improving decision-making performance. As projects are confronted with a variety of constraints, BDA can help with timely and informed decision-making. However, little knowledge exists on the subject. Data collected through twenty-five semi-structured interviews was analyzed using NVivo. Results show that BDA improves project decision-making performance by providing insights on issues emerging throughout project lifecycle, prompting timely and rational decisions. However, not everyone is convinced, pointing out that organizations lack maturity in data management and face ethical/bias issues. Study makes six propositions in addition to its findings to advance the literature on BDA-driven decision-making.
大数据分析(BDA)被认为可以提高决策绩效。由于项目面临各种制约因素,大数据分析有助于及时做出明智决策。然而,人们对这一主题知之甚少。我们使用 NVivo 对通过 25 个半结构式访谈收集到的数据进行了分析。结果表明,BDA 能够洞察整个项目生命周期中出现的问题,及时做出合理决策,从而提高项目决策绩效。然而,并非所有人都对此深信不疑,他们指出组织在数据管理方面不够成熟,并面临道德/偏见问题。除研究结果外,本研究还提出了六项主张,以推动有关 BDA 驱动决策的文献的发展。
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引用次数: 0
How to design prototypes to prevent potential dominant logic conflict during the iterative learning process 在迭代学习过程中,如何设计原型以防止潜在的主导逻辑冲突
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101850
Xi Song , Zelong Wei
Although prototype-based iterative learning is receiving increasing attention from research on lean startups, this stream of literature has a narrow focus on customer feedback and neglects the challenges of managing internal cognitive coherence during iterative learning processes. Without a shared dominant logic, the iterative revision of a prototype may fail. This research addresses this limitation by distinguishing the effects of different prototype strategies on dominant logic conflict and examining the moderating effect of socialization. Four hypotheses are developed and examined with survey data from 299 Chinese high-tech firms. We find that a basic prototype strategy results in low dominant logic conflict while an enhanced prototype strategy results in high dominant logic conflict during prototype-based iterative learning. Furthermore, socialization amplifies the negative and positive respective effects of these two prototype strategies. This research contributes to the literature on prototype-based iterative learning (e.g., for lean startups) and offers new managerial implications for practice.
虽然基于原型的迭代学习越来越受到精益初创企业研究的关注,但这一文献流狭隘地关注客户反馈,忽视了在迭代学习过程中管理内部认知一致性所面临的挑战。如果没有共同的主导逻辑,原型的迭代修改可能会失败。本研究通过区分不同原型策略对主导逻辑冲突的影响以及研究社会化的调节作用来解决这一局限性。研究提出了四个假设,并利用 299 家中国高科技企业的调查数据进行了检验。我们发现,在基于原型的迭代学习过程中,基本原型策略会导致较低的主导逻辑冲突,而增强原型策略则会导致较高的主导逻辑冲突。此外,社会化会放大这两种原型策略各自的负面和正面效应。这项研究为有关基于原型的迭代学习(如精益初创企业)的文献做出了贡献,并为管理实践提供了新的启示。
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引用次数: 0
Rethinking the trade-off relationship between innovation quantity and quality: the evidence from public energy R&D programs in South Korea 反思创新数量与质量之间的权衡关系:韩国公共能源研发项目的证据
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101848
Dohyoung Kim
This study examines the relationship between quantitative and qualitative aspect of innovation in South Korea’s public energy research and development programs. Through an analysis of 1170 projects, the study confirms a complementary association between the quantity and quality of patents. The findings underscore the importance of a strategic approach to managing innovation, challenging the notion of a trade-off and advocating balance. It also discusses how this relationship varies across technological fields. This emphasizes the need to consider moderating variables in future research on this domain. This study thus not only contributes theoretically by expanding the discourse on innovation dynamics but also offers practical insights for policymakers and industry practitioners.
本研究探讨了韩国公共能源研发项目中创新的数量与质量之间的关系。通过对 1170 个项目的分析,研究证实了专利数量和质量之间的互补关系。研究结果强调了采用战略方法管理创新的重要性,对权衡概念提出了质疑,并提倡平衡。研究还讨论了这种关系在不同技术领域的差异。这强调了在未来有关该领域的研究中考虑调节变量的必要性。因此,本研究不仅在理论上拓展了关于创新动态的讨论,还为政策制定者和行业从业者提供了实用的见解。
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引用次数: 0
Systemic entrepreneurship in the digital era: Tesla's vision and social transformation 数字时代的系统创业:特斯拉的愿景与社会变革
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101844
Fernanda Arreola , Federico Platania , Celina Toscano Hernandez , Gregory Unruh
This paper investigates the phenomenon of systemic entrepreneurship in the digital age, using Tesla, Inc., and its leader Elon Musk as a case study. Systemic entrepreneurship is explored as a multifaceted concept that extends beyond traditional business management, encompassing the integration of digital technologies and the capacity to instigate significant social change. The study reveals that systemic entrepreneurship involves a strategic amalgamation of financial, social, and human capital, utilized effectively to drive transformative shifts in societal norms and practices. Elon Musk's role as a systemic entrepreneur is dissected, highlighting his unique capabilities in networking, resource utilization, and social influence. His leadership in introducing disruptive innovations and altering market landscapes exemplifies the profound impact of systemic entrepreneurship on societal evolution. This study not only enriches academic understanding of systemic entrepreneurship in the context of digital transformation but also highlights its critical importance in driving sustainable and progressive societal transformations thanks to technology.
本文以特斯拉公司及其领导人埃隆-马斯克(Elon Musk)为案例,探讨了数字时代的系统创业现象。系统创业是一个多层面的概念,它超越了传统的企业管理,包括数字技术的整合和引发重大社会变革的能力。研究揭示,系统创业涉及金融、社会和人力资本的战略整合,有效利用这些资本推动社会规范和实践的变革性转变。研究剖析了埃隆-马斯克作为系统创业者的角色,强调了他在网络、资源利用和社会影响方面的独特能力。他在引入颠覆性创新和改变市场格局方面的领导力,体现了系统创业对社会演变的深远影响。这项研究不仅丰富了学术界对数字转型背景下系统创业精神的理解,还强调了技术在推动可持续和渐进的社会转型方面的至关重要性。
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Journal of Engineering and Technology Management
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