Pub Date : 2025-03-24DOI: 10.1016/j.jengtecman.2025.101871
Qiao Shi , Liu Zhiwei , Wu Jie , Guo Zeng , Wu Han
The aim of this study was to investigate the associations among generative AI, knowledge-based dynamic capabilities and innovation performance of the construction enterprises. A model reflecting the relationship between these factors was proposed based on structural equation model. The relationships between these factors were revealed via the analysis of survey data from 268 participants in the construction enterprises. The results showed that generative AI positively influenced knowledge-based dynamic capabilities and innovation performance of the construction enterprises; knowledge integration and knowledge absorption had mediating effects on the influence of generative AI and knowledge search on innovation performance of the construction enterprises.
{"title":"Generative AI on innovation performance of construction enterprises: A knowledge-based dynamic capabilities perspective","authors":"Qiao Shi , Liu Zhiwei , Wu Jie , Guo Zeng , Wu Han","doi":"10.1016/j.jengtecman.2025.101871","DOIUrl":"10.1016/j.jengtecman.2025.101871","url":null,"abstract":"<div><div>The aim of this study was to investigate the associations among generative AI, knowledge-based dynamic capabilities and innovation performance of the construction enterprises. A model reflecting the relationship between these factors was proposed based on structural equation model. The relationships between these factors were revealed via the analysis of survey data from 268 participants in the construction enterprises. The results showed that generative AI positively influenced knowledge-based dynamic capabilities and innovation performance of the construction enterprises; knowledge integration and knowledge absorption had mediating effects on the influence of generative AI and knowledge search on innovation performance of the construction enterprises.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"76 ","pages":"Article 101871"},"PeriodicalIF":3.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-18DOI: 10.1016/j.jengtecman.2025.101870
Jacopo Cricchio , Saverio Barabuffi , Antonio Crupi , Alberto Di Minin
This study examines the Chinese Artificial Intelligence Open Innovation Platforms (AIOIPs) through a descriptive patent-based network analysis to uncover patterns of open innovation (OI). By analyzing brokerage roles and patent quality measures, we propose a typology of brokers—Forerunners, Explorers, Settlers, and Seekers—each reflecting distinct innovation and knowledge dissemination strategies. Our findings highlight how firms strategically balance collaboration and specialization through brokerage roles, linking these dynamics to patent quality and network positioning. These insights offer actionable guidance for enhancing the adaptability and efficiency of AI innovations within OI ecosystems, with implications for both managers and policymakers.
{"title":"China’s new knowledge brokers. A patent citations network analysis of the artificial intelligence open innovation ecosystem","authors":"Jacopo Cricchio , Saverio Barabuffi , Antonio Crupi , Alberto Di Minin","doi":"10.1016/j.jengtecman.2025.101870","DOIUrl":"10.1016/j.jengtecman.2025.101870","url":null,"abstract":"<div><div>This study examines the Chinese Artificial Intelligence Open Innovation Platforms (AIOIPs) through a descriptive patent-based network analysis to uncover patterns of open innovation (OI). By analyzing brokerage roles and patent quality measures, we propose a typology of brokers—Forerunners, Explorers, Settlers, and Seekers—each reflecting distinct innovation and knowledge dissemination strategies. Our findings highlight how firms strategically balance collaboration and specialization through brokerage roles, linking these dynamics to patent quality and network positioning. These insights offer actionable guidance for enhancing the adaptability and efficiency of AI innovations within OI ecosystems, with implications for both managers and policymakers.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"76 ","pages":"Article 101870"},"PeriodicalIF":3.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 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.
{"title":"Examining the role of team boundary buffering as a proactive and reactive stress intervention for boundary spanning new product teams","authors":"Ana I. Rodriguez-Escudero , Pilar Carbonell , Hector Perez-Fernandez , Victor Temprano Garcia","doi":"10.1016/j.jengtecman.2025.101861","DOIUrl":"10.1016/j.jengtecman.2025.101861","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"75 ","pages":"Article 101861"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 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.
{"title":"Developing artificial intelligence (AI) capabilities for data-driven business model innovation: Roles of organizational adaptability and leadership","authors":"Swapan Ghosh","doi":"10.1016/j.jengtecman.2024.101851","DOIUrl":"10.1016/j.jengtecman.2024.101851","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"75 ","pages":"Article 101851"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 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.
{"title":"Multi-network embeddedness and innovation quality: A panel data analysis based on fsQCA","authors":"Taiye Luo , Juanjuan Qu , Shuo Cheng","doi":"10.1016/j.jengtecman.2025.101860","DOIUrl":"10.1016/j.jengtecman.2025.101860","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"75 ","pages":"Article 101860"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 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.
{"title":"Swimming against the stream in Argentina: ’Contrarian’ paths to latecomer catch-up under adversity","authors":"Javier Papa , Mike Hobday","doi":"10.1016/j.jengtecman.2024.101859","DOIUrl":"10.1016/j.jengtecman.2024.101859","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"75 ","pages":"Article 101859"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 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.
{"title":"Business model innovation in the banking sector: How digital technologies transform innovation drivers in value mechanisms innovations","authors":"Ilaria Mancuso , Antonio Messeni Petruzzelli , Umberto Panniello , Giovanni Vaia","doi":"10.1016/j.jengtecman.2024.101858","DOIUrl":"10.1016/j.jengtecman.2024.101858","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"75 ","pages":"Article 101858"},"PeriodicalIF":3.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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。
{"title":"Patent pool and dominant design: An empirical study of patent pool from MPEG-LA","authors":"Yunsheng Zhang , Chen Peng , Oluwolenurudeen Omonijo","doi":"10.1016/j.jengtecman.2024.101847","DOIUrl":"10.1016/j.jengtecman.2024.101847","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"74 ","pages":"Article 101847"},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 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.
{"title":"Using big data analytics (BDA) for improving decision-making performance in projects","authors":"Jiwat Ram, Clément Desgourdes","doi":"10.1016/j.jengtecman.2024.101849","DOIUrl":"10.1016/j.jengtecman.2024.101849","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"74 ","pages":"Article 101849"},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 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.
{"title":"How to design prototypes to prevent potential dominant logic conflict during the iterative learning process","authors":"Xi Song , Zelong Wei","doi":"10.1016/j.jengtecman.2024.101850","DOIUrl":"10.1016/j.jengtecman.2024.101850","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"74 ","pages":"Article 101850"},"PeriodicalIF":3.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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