Pub Date : 2025-04-24DOI: 10.1016/j.technovation.2025.103242
Miaomiao Yin , Jiying Li , Stephen X. Zhang
Drawing on resource orchestration theory, how proactive orientation impacts the speed of innovation in new ventures was examined along with the moderating effects of entrepreneurs’ business experience and political networking capability. Data from a survey of 574 new ventures indicate an inverted U-shaped relationship between proactive orientation and innovation speed. Political networking capability and business experience enhance the positive effects of proactive orientation on innovation speed, increasing innovation speed-related returns from proactive orientation and diminishing the negative effects of excessive proactive orientation. These findings enrich and advance research on resource orchestration and innovation speed, contributing to a deeper understanding of how new ventures can transform their proactive orientation into faster innovation despite limited resources.
{"title":"Haste makes waste: Nonlinear effects of proactive orientation on innovation speed in new ventures","authors":"Miaomiao Yin , Jiying Li , Stephen X. Zhang","doi":"10.1016/j.technovation.2025.103242","DOIUrl":"10.1016/j.technovation.2025.103242","url":null,"abstract":"<div><div>Drawing on resource orchestration theory, how proactive orientation impacts the speed of innovation in new ventures was examined along with the moderating effects of entrepreneurs’ business experience and political networking capability. Data from a survey of 574 new ventures indicate an inverted U-shaped relationship between proactive orientation and innovation speed. Political networking capability and business experience enhance the positive effects of proactive orientation on innovation speed, increasing innovation speed-related returns from proactive orientation and diminishing the negative effects of excessive proactive orientation. These findings enrich and advance research on resource orchestration and innovation speed, contributing to a deeper understanding of how new ventures can transform their proactive orientation into faster innovation despite limited resources.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103242"},"PeriodicalIF":11.1,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-23DOI: 10.1016/j.technovation.2025.103236
Zhiwei Wang , Lican Wei , Song Wang
Perceiving, interpreting, and predicting disruptive innovation ex ante are crucial but challenging. Although recognizing disruptive innovation opportunities is more likely a result of collective efforts, prior research has primarily focused on external organizational drivers and individual-level attributes or only focused on simple effect of single factors. Recent studies highlight the strategic role of team learning in building the micro-foundations of organizational dynamic capabilities. This study employs a configurational approach (fsQCA) to examine how individual and team-level antecedents interact to facilitate the recognition of disruptive innovation opportunities through team learning processes (intuition, interpretation, and integration). Drawing on field data from 65 teams, we identify three distinct configurations: Sharing-integrated, Improvisation-inspired, and Star-led. Specifically, teams can proactively recognize disruptive innovation opportunities through collective wisdom, which is generated by sharing and integration within the team, inspired by a learning process of improvisation, or catalyzed by the guidance of star performers in the team. This study contributes to the existing literature on disruptive innovation by elaborating how teams can collaboratively and creatively recognize disruptive opportunities through learning processes. Furthermore, it advances micro-foundations research on organizational capabilities in effectively managing disruption. The configurational approach provides a nuanced understanding of opportunity recognition within the context of disruptive innovation.
{"title":"Navigating disruptive innovation through opportunity recognition: A configurational approach to team learning","authors":"Zhiwei Wang , Lican Wei , Song Wang","doi":"10.1016/j.technovation.2025.103236","DOIUrl":"10.1016/j.technovation.2025.103236","url":null,"abstract":"<div><div>Perceiving, interpreting, and predicting disruptive innovation ex ante are crucial but challenging. Although recognizing disruptive innovation opportunities is more likely a result of collective efforts, prior research has primarily focused on external organizational drivers and individual-level attributes or only focused on simple effect of single factors. Recent studies highlight the strategic role of team learning in building the micro-foundations of organizational dynamic capabilities. This study employs a configurational approach (fsQCA) to examine how individual and team-level antecedents interact to facilitate the recognition of disruptive innovation opportunities through team learning processes (intuition, interpretation, and integration). Drawing on field data from 65 teams, we identify three distinct configurations: Sharing-integrated, Improvisation-inspired, and Star-led. Specifically, teams can proactively recognize disruptive innovation opportunities through collective wisdom, which is generated by sharing and integration within the team, inspired by a learning process of improvisation, or catalyzed by the guidance of star performers in the team. This study contributes to the existing literature on disruptive innovation by elaborating how teams can collaboratively and creatively recognize disruptive opportunities through learning processes. Furthermore, it advances micro-foundations research on organizational capabilities in effectively managing disruption. The configurational approach provides a nuanced understanding of opportunity recognition within the context of disruptive innovation.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103236"},"PeriodicalIF":11.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-20DOI: 10.1016/j.technovation.2025.103243
Rui Alexandre R. Pires , João J. Ferreira
Understanding the connection between innovation strategies and intellectual property (IP) is crucial for academia, policymakers, and managers. This topic has gained interest from the scientific community. However, the literature is fragmented and dispersed due to increasing knowledge, and earlier literature reviews do not provide a holistic assessment of the existing research on how innovation strategies are connected to IP. This study aims to address this gap by answering the following questions: What is the status of the art on innovation strategies and IP regarding theoretical and methodological approaches, contextual elements, and key research themes? How can this research be advanced and developed further? To this purpose, we undertake a comprehensive review and synthesis of existing knowledge in this field based on the content analysis of 144 articles indexed in the Web of Science database. Findings indicate that (i) the knowledge-based and resource-based views are the main theoretical foundations, (ii) the empirical-quantitative approach is the main methodology, (iii) the Asian, European, and North American countries are the main geographical scopes explored, and (iv) there are six major research themes addressing innovation strategies, IP protection mechanisms, determinants of innovation strategies and IP, learning and knowledge, interorganizational collaboration, and value creation and appropriation outcomes. Therefore, this study contributes to the literature on innovation and IP strategies by systematically reviewing and analyzing the existing knowledge, proposing an integrative framework highlighting the interconnections among the major research themes, and setting a roadmap for future research.
了解创新战略与知识产权（IP）之间的联系对于学术界、决策者和管理者来说至关重要。这一话题已引起科学界的兴趣。然而，由于知识的不断增长，文献变得零碎而分散，而且早期的文献综述并未对创新战略如何与知识产权相联系的现有研究进行整体评估。本研究旨在通过回答以下问题来填补这一空白：关于创新战略与知识产权的理论和方法、背景要素和关键研究主题的研究现状如何？如何进一步推进和发展这项研究？为此，我们在对 Web of Science 数据库收录的 144 篇文章进行内容分析的基础上，对该领域的现有知识进行了全面回顾和总结。研究结果表明：(i) 基于知识的观点和基于资源的观点是主要的理论基础；(ii) 实证-定量方法是主要的研究方法；(iii) 亚洲、欧洲和北美国家是主要的地域范围；(iv) 有六大研究主题，分别涉及创新战略、知识产权保护机制、创新战略和知识产权的决定因素、学习与知识、组织间合作以及价值创造和占有结果。因此，本研究通过系统地回顾和分析现有知识，提出了一个综合框架，强调了各主要研究主题之间的相互联系，并为今后的研究制定了路线图，从而为有关创新和知识产权战略的文献做出了贡献。
{"title":"Bridging innovation strategies and intellectual property: A systematic review-based conceptual framework and a roadmap for future research","authors":"Rui Alexandre R. Pires , João J. Ferreira","doi":"10.1016/j.technovation.2025.103243","DOIUrl":"10.1016/j.technovation.2025.103243","url":null,"abstract":"<div><div>Understanding the connection between innovation strategies and intellectual property (IP) is crucial for academia, policymakers, and managers. This topic has gained interest from the scientific community. However, the literature is fragmented and dispersed due to increasing knowledge, and earlier literature reviews do not provide a holistic assessment of the existing research on how innovation strategies are connected to IP. This study aims to address this gap by answering the following questions: What is the status of the art on innovation strategies and IP regarding theoretical and methodological approaches, contextual elements, and key research themes? How can this research be advanced and developed further? To this purpose, we undertake a comprehensive review and synthesis of existing knowledge in this field based on the content analysis of 144 articles indexed in the Web of Science database. Findings indicate that (i) the knowledge-based and resource-based views are the main theoretical foundations, (ii) the empirical-quantitative approach is the main methodology, (iii) the Asian, European, and North American countries are the main geographical scopes explored, and (iv) there are six major research themes addressing innovation strategies, IP protection mechanisms, determinants of innovation strategies and IP, learning and knowledge, interorganizational collaboration, and value creation and appropriation outcomes. Therefore, this study contributes to the literature on innovation and IP strategies by systematically reviewing and analyzing the existing knowledge, proposing an integrative framework highlighting the interconnections among the major research themes, and setting a roadmap for future research.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103243"},"PeriodicalIF":11.1,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-18DOI: 10.1016/j.technovation.2025.103227
Nicola Barron , Mark Palmer , Monica Masucci , Steven McGuire
The challenge of the commercialisation of science from the ‘laboratory environment’ into the ‘field environment’ is a longstanding one. This paper explores the way that this challenge is rooted in the epistemic stance of institutional members working in the life science industry. Drawing upon their lived experiences, this study contributes both conceptually and analytically towards an in-depth understanding of the micro-foundations of the recognition of opportunities to commercialise science. We unravel two unique epistemic stance perspectives from members' experiences – a science stance and a market stance –that members enact in the recognition of opportunities for science commercialisation. We uncover that members may not have to shift from a science stance to a market stance, but critically, iterate between the scaffolding mechanisms of aligning, exchanging, and integrating in order to address the challenge of bridging science and market stances in the commercialisation of scientific opportunities.
{"title":"Stance scaffolding and the recognition of commercialisation opportunities in the life science industry","authors":"Nicola Barron , Mark Palmer , Monica Masucci , Steven McGuire","doi":"10.1016/j.technovation.2025.103227","DOIUrl":"10.1016/j.technovation.2025.103227","url":null,"abstract":"<div><div>The challenge of the commercialisation of science from the ‘laboratory environment’ into the ‘field environment’ is a longstanding one. This paper explores the way that this challenge is rooted in the epistemic stance of institutional members working in the life science industry. Drawing upon their lived experiences, this study contributes both conceptually and analytically towards an in-depth understanding of the micro-foundations of the recognition of opportunities to commercialise science. We unravel two unique epistemic stance perspectives from members' experiences – a science stance and a market stance –that members enact in the recognition of opportunities for science commercialisation. We uncover that members may not have to shift from a science stance to a market stance, but critically, iterate between the scaffolding mechanisms of aligning, exchanging, and integrating in order to address the challenge of bridging science and market stances in the commercialisation of scientific opportunities.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103227"},"PeriodicalIF":11.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-16DOI: 10.1016/j.technovation.2025.103240
Swapan Ghosh , Mat Hughes , Paul Hughes , Ian Hodgkinson
Digital transformation (DT) is revolutionizing industrial businesses, with advanced technologies driving unprecedented change. However, change is uncertain, and industrial managers need clarity on the most effective digital transformation strategies. This study investigates the critical roles of digital twins, digital threads, and digital mindsets as socio-technical enablers of successful DT. We examine the interplay between these enablers and their impact on DT outcomes from the perspective of socio-technical systems theory. We comprehensively analyze these socio-technical enablers and their effects on DT using a variance-based structured equation model (PLS-SEM). Our findings reveal that digital twins and digital threads have direct, significant influences on DT success. Notably, we discover that a digital mindset plays a crucial mediating role in the relationship between digital threads and DT. In contrast, its impact on the digital twin–DT relationship is less pronounced. Based on these insights, we propose an empirically grounded framework to guide scholars, managers, and advisors in navigating the complexities of DT. This framework offers a nuanced understanding of how digital technologies and organizational mindsets interact to drive successful digital transformation. Our research contributes to the growing body of knowledge on the socio-technical systems view of DT. It provides practical implications for industrial managers seeking to optimize their DT strategies.
{"title":"Digital twin, digital thread, and digital mindset in enabling digital transformation: A socio-technical systems perspective","authors":"Swapan Ghosh , Mat Hughes , Paul Hughes , Ian Hodgkinson","doi":"10.1016/j.technovation.2025.103240","DOIUrl":"10.1016/j.technovation.2025.103240","url":null,"abstract":"<div><div>Digital transformation (DT) is revolutionizing industrial businesses, with advanced technologies driving unprecedented change. However, change is uncertain, and industrial managers need clarity on the most effective digital transformation strategies. This study investigates the critical roles of digital twins, digital threads, and digital mindsets as socio-technical enablers of successful DT. We examine the interplay between these enablers and their impact on DT outcomes from the perspective of socio-technical systems theory. We comprehensively analyze these socio-technical enablers and their effects on DT using a variance-based structured equation model (PLS-SEM). Our findings reveal that digital twins and digital threads have direct, significant influences on DT success. Notably, we discover that a digital mindset plays a crucial mediating role in the relationship between digital threads and DT. In contrast, its impact on the digital twin–DT relationship is less pronounced. Based on these insights, we propose an empirically grounded framework to guide scholars, managers, and advisors in navigating the complexities of DT. This framework offers a nuanced understanding of how digital technologies and organizational mindsets interact to drive successful digital transformation. Our research contributes to the growing body of knowledge on the socio-technical systems view of DT. It provides practical implications for industrial managers seeking to optimize their DT strategies.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103240"},"PeriodicalIF":11.1,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-15DOI: 10.1016/j.technovation.2025.103233
Tom Broekel , Torben Klarl
Innovations are widely accepted as fundamental drivers of economic growth by increasing productivity and creating new markets. However, empirical evidence on the long-term relationship between technological progress and economic growth remains scarce, with few studies considering shifts in technologies' fundamental properties, such as their degree of complexity. Yet, higher levels of complexity are argued to increase technologies' economic potential, and consequently, ignoring this dimension of technologies provides an incomplete picture of innovations’ growth effects.
We address this research gap by exploring the relationship between economic growth and technological complexity over more than 170 years in the United States (US). Utilizing patent data, the concept of the complexity frontier, and partial wavelet analysis, we find that economic growth has not been driven by patented innovation and technological complexity for most of this period. However, since the beginning of the ICT revolution in the 1990s, it has significantly contributed to GDP growth.
One Sentence Summary: Technological complexity drives economic growth.
{"title":"The long-term evolution of technological complexity and its relationship with economic growth","authors":"Tom Broekel , Torben Klarl","doi":"10.1016/j.technovation.2025.103233","DOIUrl":"10.1016/j.technovation.2025.103233","url":null,"abstract":"<div><div>Innovations are widely accepted as fundamental drivers of economic growth by increasing productivity and creating new markets. However, empirical evidence on the long-term relationship between technological progress and economic growth remains scarce, with few studies considering shifts in technologies' fundamental properties, such as their degree of complexity. Yet, higher levels of complexity are argued to increase technologies' economic potential, and consequently, ignoring this dimension of technologies provides an incomplete picture of innovations’ growth effects.</div><div>We address this research gap by exploring the relationship between economic growth and technological complexity over more than 170 years in the United States (US). Utilizing patent data, the concept of the complexity frontier, and partial wavelet analysis, we find that economic growth has not been driven by patented innovation and technological complexity for most of this period. However, since the beginning of the ICT revolution in the 1990s, it has significantly contributed to GDP growth.</div><div><strong>One Sentence Summary:</strong> Technological complexity drives economic growth.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103233"},"PeriodicalIF":11.1,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Innovation contests, such as hackathons and other time-bound competitions, foster innovation by promoting creative problem-solving, interdisciplinary collaboration, and rapid idea development. This study examines whether a Design Sprint-based contest can encourage SMEs to adopt design approaches. Conducted as a randomized controlled trial (RCT) with 190 SMEs across seven European countries, the experiment assessed the impact of a three-day contest on SMEs' knowledge, attitudes, and intentions regarding design methodologies. Results show a 19 % increase in SMEs’ understanding of the Design Sprint methodology and a 12 % improvement in their ability to implement it. However, these gains did not translate into significant changes in attitudes or intentions to adopt design practices, highlighting persistent structural barriers such as resource constraints, risk aversion, and skepticism. While the intervention reduced perceived obstacles like insufficient expertise and information, it failed to address broader organizational challenges. These findings suggest that innovation contests can cost-effectively transfer design knowledge and lower adoption barriers but require sustained support to drive lasting organizational change.
{"title":"Empowering digital innovation in SMEs: Experimental evidence from design sprint innovation contests","authors":"Davide Azzolini , Nicola Doppio , Sascha Kraus , Luca Mion , Iunio Quarto Russo , Alessio Tomelleri","doi":"10.1016/j.technovation.2025.103239","DOIUrl":"10.1016/j.technovation.2025.103239","url":null,"abstract":"<div><div>Innovation contests, such as hackathons and other time-bound competitions, foster innovation by promoting creative problem-solving, interdisciplinary collaboration, and rapid idea development. This study examines whether a Design Sprint-based contest can encourage SMEs to adopt design approaches. Conducted as a randomized controlled trial (RCT) with 190 SMEs across seven European countries, the experiment assessed the impact of a three-day contest on SMEs' knowledge, attitudes, and intentions regarding design methodologies. Results show a 19 % increase in SMEs’ understanding of the Design Sprint methodology and a 12 % improvement in their ability to implement it. However, these gains did not translate into significant changes in attitudes or intentions to adopt design practices, highlighting persistent structural barriers such as resource constraints, risk aversion, and skepticism. While the intervention reduced perceived obstacles like insufficient expertise and information, it failed to address broader organizational challenges. These findings suggest that innovation contests can cost-effectively transfer design knowledge and lower adoption barriers but require sustained support to drive lasting organizational change.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103239"},"PeriodicalIF":11.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-07DOI: 10.1016/j.technovation.2025.103235
Samuel Fosso Wamba , Maciel M. Queiroz , Krithika Randhawa , Gaurav Gupta
Generative Artificial Intelligence (Gen-AI) is reshaping business models, innovation processes, and organizational strategies across industries. This editorial highlights its transformative potential through multiple lenses, including business model adaptation, strategic agility, social impact, creative industries, and ethical governance. The special issue “Generative artificial intelligence and the challenges to adding value ethically” presents diverse perspectives on how firms leverage Gen-AI to gain competitive advantage, drive value creation, and enhance resilience while addressing regulatory, ethical, and operational challenges. The accepted papers examine Gen-AI-driven shifts in entrepreneurship, decision-making, and digital ecosystems using quantitative, qualitative, and mixed-method approaches. Their findings point out both the opportunities and tensions of Gen-AI adoption, highlighting the need for responsible governance, strategic alignment, and human-AI collaboration. By integrating multidisciplinary perspectives, this collection offers a rigorous foundation for scholars, practitioners, and policymakers to understand how Gen-AI can be harnessed to drive sustainable and strategic innovation in an evolving and challenging digital landscape.
{"title":"Generative artificial intelligence and the challenges to adding value ethically","authors":"Samuel Fosso Wamba , Maciel M. Queiroz , Krithika Randhawa , Gaurav Gupta","doi":"10.1016/j.technovation.2025.103235","DOIUrl":"10.1016/j.technovation.2025.103235","url":null,"abstract":"<div><div>Generative Artificial Intelligence (Gen-AI) is reshaping business models, innovation processes, and organizational strategies across industries. This editorial highlights its transformative potential through multiple lenses, including business model adaptation, strategic agility, social impact, creative industries, and ethical governance. The special issue <em>“Generative artificial intelligence and the challenges to adding value ethically”</em> presents diverse perspectives on how firms leverage Gen-AI to gain competitive advantage, drive value creation, and enhance resilience while addressing regulatory, ethical, and operational challenges. The accepted papers examine Gen-AI-driven shifts in entrepreneurship, decision-making, and digital ecosystems using quantitative, qualitative, and mixed-method approaches. Their findings point out both the opportunities and tensions of Gen-AI adoption, highlighting the need for responsible governance, strategic alignment, and human-AI collaboration. By integrating multidisciplinary perspectives, this collection offers a rigorous foundation for scholars, practitioners, and policymakers to understand how Gen-AI can be harnessed to drive sustainable and strategic innovation in an evolving and challenging digital landscape.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103235"},"PeriodicalIF":11.1,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-06DOI: 10.1016/j.technovation.2025.103237
Jose Piñera Salmerón , Raquel Sánz Valle , Francisco-Jose Molina-Castillo
Increasing competitiveness in domestic markets has forced many companies to undertake initiatives to sell their products abroad. The purpose of this paper is to identify factors that could help firms improve export performance. This research contributes to the literature in this field by focusing on three variables that recent literature highlights as key drivers of export performance but on which research is lacking: business model innovation, open innovation and organisational agility (operational and market agility). Based on 196 industrial exporting companies, the results indicate that business model innovation, open innovation and one of the two types of agility considered, market agility, are crucial to improving export performance. Moreover, business model innovation mediates the relationship between both open innovation and market agility and export performance. Unexpectedly, our findings show a negative relationship between operational agility and export performance, mediated by business model innovation. The implications of this paper's findings can interest companies seeking to improve their export performance.
{"title":"Beyond borders: Unraveling the tapestry of export performance through business model innovation, open innovation, and organisational agility","authors":"Jose Piñera Salmerón , Raquel Sánz Valle , Francisco-Jose Molina-Castillo","doi":"10.1016/j.technovation.2025.103237","DOIUrl":"10.1016/j.technovation.2025.103237","url":null,"abstract":"<div><div>Increasing competitiveness in domestic markets has forced many companies to undertake initiatives to sell their products abroad. The purpose of this paper is to identify factors that could help firms improve export performance. This research contributes to the literature in this field by focusing on three variables that recent literature highlights as key drivers of export performance but on which research is lacking: business model innovation, open innovation and organisational agility (operational and market agility). Based on 196 industrial exporting companies, the results indicate that business model innovation, open innovation and one of the two types of agility considered, market agility, are crucial to improving export performance. Moreover, business model innovation mediates the relationship between both open innovation and market agility and export performance. Unexpectedly, our findings show a negative relationship between operational agility and export performance, mediated by business model innovation. The implications of this paper's findings can interest companies seeking to improve their export performance.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"144 ","pages":"Article 103237"},"PeriodicalIF":11.1,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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