Pub Date : 2025-02-04DOI: 10.1016/j.technovation.2025.103183
Yue Liu , Baogui Xin , Lei Xie
Digital piracy poses a grave threat to content creators and distributors. Recently, non-fungible tokens (NFTs) have garnered attention as a potential solution, though views diverge on their efficacy. Moreover, NFT practices often engender complex tradeoffs between business value and externalities. To elucidate this divergence and inform strategic decisions, we develop an analytical model of a digital content supply chain incorporating piracy competition across three operating models: reselling, agency-selling, and NFT-based. Our analysis suggests that: (i) the NFT model mitigates piracy more effectively than traditional models when content asset value is high or consumer NFT acceptance costs are low; (ii) the creator's NFT adoption hinges on the NFT platform service fee, fixed adoption costs, and consumer perceived net NFT value; and (iii) higher legal content transaction costs catalyze more pirate demand. This study clarifies the complex interplay between piracy, NFTs, and digital supply chain design. It provides creators and distributors an enhanced framework for strategically leveraging NFTs to combat piracy while maximizing value and mitigating risks.
{"title":"Strategic NFT adoption to combat digital piracy","authors":"Yue Liu , Baogui Xin , Lei Xie","doi":"10.1016/j.technovation.2025.103183","DOIUrl":"10.1016/j.technovation.2025.103183","url":null,"abstract":"<div><div>Digital piracy poses a grave threat to content creators and distributors. Recently, non-fungible tokens (NFTs) have garnered attention as a potential solution, though views diverge on their efficacy. Moreover, NFT practices often engender complex tradeoffs between business value and externalities. To elucidate this divergence and inform strategic decisions, we develop an analytical model of a digital content supply chain incorporating piracy competition across three operating models: reselling, agency-selling, and NFT-based. Our analysis suggests that: (i) the NFT model mitigates piracy more effectively than traditional models when content asset value is high or consumer NFT acceptance costs are low; (ii) the creator's NFT adoption hinges on the NFT platform service fee, fixed adoption costs, and consumer perceived net NFT value; and (iii) higher legal content transaction costs catalyze more pirate demand. This study clarifies the complex interplay between piracy, NFTs, and digital supply chain design. It provides creators and distributors an enhanced framework for strategically leveraging NFTs to combat piracy while maximizing value and mitigating risks.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"141 ","pages":"Article 103183"},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183308","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 : 2025-02-03DOI: 10.1016/j.technovation.2025.103173
Chad M. Baum , Nathalie Sick , Stefanie Bröring
No one discipline or knowledge area can spur the rise of novel technologies and solutions pivotal to mitigate the grand challenges confronting society. Such solutions increasingly require broad-based collaborations, new spaces for knowledge creation, and the emergence of interdisciplinary knowledge areas (IKAs). Little is known about the drivers for IKA emergence, specifically how their legitimacy can be built. Drawing on knowledge of emerging innovation ecosystems, we conceive legitimacy in terms of the need to align the views, skills, and motivations of diverse actors – between academia and industry and across disciplines as well. This exploratory study employs the mixed-methods approach of group concept mapping to examine drivers of new IKAs and specifically how legitimacy can be fostered from an actor-level perspective. This approach entails a series of steps whereby discussion is facilitated around a focus prompt, ideas are generated, the resulting statements are sorted (by participants) into categories and rated (for importance and changeability), and then analyzed and described using visual outputs. Employing synthetic life sciences as a case, an actor-based perspective is first provided of the drivers seen as most important and changeable, and how this varies by type of actor. We thereby elucidate initiatives promoting the emergence of IKAs, by stressing the importance of key actors or engaging with public concerns. Second, by examining similarities across actors, areas of consensus are highlighted, outlining a guiding vision to align their interests and goals. Third, by examining universities as a form of interdisciplinary invention ecosystem, we illustrate how universities are meaningful not only as a locus for groundbreaking research but a space where actors can collaborate for knowledge creation and exchange. Engaging universities through this lens, we finally provide a discussion of initiatives (outlined as propositions) that can promote the establishment of invention ecosystems, particularly around legitimacy-building by promoting broad-based collaboration.
{"title":"Drivers for the emergence of interdisciplinary knowledge areas: An actor-level perspective on building legitimacy for the case of synthetic life sciences","authors":"Chad M. Baum , Nathalie Sick , Stefanie Bröring","doi":"10.1016/j.technovation.2025.103173","DOIUrl":"10.1016/j.technovation.2025.103173","url":null,"abstract":"<div><div>No one discipline or knowledge area can spur the rise of novel technologies and solutions pivotal to mitigate the grand challenges confronting society. Such solutions increasingly require broad-based collaborations, new spaces for knowledge creation, and the emergence of interdisciplinary knowledge areas (IKAs). Little is known about the drivers for IKA emergence, specifically how their legitimacy can be built. Drawing on knowledge of emerging innovation ecosystems, we conceive legitimacy in terms of the need to align the views, skills, and motivations of diverse actors – between academia and industry and across disciplines as well. This exploratory study employs the mixed-methods approach of group concept mapping to examine drivers of new IKAs and specifically how legitimacy can be fostered from an actor-level perspective. This approach entails a series of steps whereby discussion is facilitated around a focus prompt, ideas are generated, the resulting statements are sorted (by participants) into categories and rated (for importance and changeability), and then analyzed and described using visual outputs. Employing synthetic life sciences as a case, an actor-based perspective is first provided of the drivers seen as most important and changeable, and how this varies by type of actor. We thereby elucidate initiatives promoting the emergence of IKAs, by stressing the importance of key actors or engaging with public concerns. Second, by examining similarities across actors, areas of consensus are highlighted, outlining a guiding vision to align their interests and goals. Third, by examining universities as a form of interdisciplinary invention ecosystem, we illustrate how universities are meaningful not only as a locus for groundbreaking research but a space where actors can collaborate for knowledge creation and exchange. Engaging universities through this lens, we finally provide a discussion of initiatives (outlined as propositions) that can promote the establishment of invention ecosystems, particularly around legitimacy-building by promoting broad-based collaboration.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"141 ","pages":"Article 103173"},"PeriodicalIF":11.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Design thinking is an innovation approach that emphasizes developing and testing hypotheses about the desirability, feasibility, and viability of an idea through iterative experimentation. Although widely used, there is limited empirical evidence to support the effectiveness of experimentation practices in design thinking projects. Similarly, the impact of integrating digital technologies into experimentation processes remains underexplored. This study addresses these gaps by analyzing data from 246 design thinking projects to examine how early and frequent experimentation influences innovation performance, specifically in terms of effectiveness and efficiency. It also examines how the use of digital technologies moderates these relationships. The results show that both early and frequent experimentation positively influence innovation effectiveness, while only early experimentation significantly improves innovation efficiency. Moreover, the use of digital technologies strengthens the positive effects of early experimentation on both effectiveness and efficiency. This research provides valuable theoretical and practical insights by deepening our understanding of how experimentation and digital tools drive innovation performance in design thinking projects.
{"title":"Unpacking experimentation in design thinking: Contributions to innovation performance and the moderating role of digital technologies","authors":"Stefano Magistretti , Claudio Dell’Era , Marina Candi , Scott K. Swan , Mattia Bianchi , Giulia Calabretta , Ileana Stigliani , Roberto Verganti","doi":"10.1016/j.technovation.2025.103187","DOIUrl":"10.1016/j.technovation.2025.103187","url":null,"abstract":"<div><div>Design thinking is an innovation approach that emphasizes developing and testing hypotheses about the desirability, feasibility, and viability of an idea through iterative experimentation. Although widely used, there is limited empirical evidence to support the effectiveness of experimentation practices in design thinking projects. Similarly, the impact of integrating digital technologies into experimentation processes remains underexplored. This study addresses these gaps by analyzing data from 246 design thinking projects to examine how early and frequent experimentation influences innovation performance, specifically in terms of effectiveness and efficiency. It also examines how the use of digital technologies moderates these relationships. The results show that both early and frequent experimentation positively influence innovation effectiveness, while only early experimentation significantly improves innovation efficiency. Moreover, the use of digital technologies strengthens the positive effects of early experimentation on both effectiveness and efficiency. This research provides valuable theoretical and practical insights by deepening our understanding of how experimentation and digital tools drive innovation performance in design thinking projects.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"141 ","pages":"Article 103187"},"PeriodicalIF":11.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-02-01DOI: 10.1016/j.technovation.2024.103166
Dong Wu, Fan Zou
Dominant design is ultimately shaped by market forces, and users serve as the primary driver. Previous research has revealed that dominant design is a turning point for innovation phases and firm survival. While existing research has examined dominant design from the vantage point of technology, institution, or other market factors, there remains a dearth of studies that delve into the user-driven perspective on dominant design, in which users have presented significant value in the digital era. As user-driven innovation becomes increasingly prevalent, it is impossible for dominant design to avoid the influence of users. Therefore, exploring dominant design must incorporate a user-driven perspective to account for the active agency users hold in the digital era. In this article, we develop a dynamic user interaction model to elucidate how users drive the emergence of dominant design. Specifically, leveraging simulations, we modeled a spectrum of evolution pathways for user preferences, reflecting the complex interaction environments arising from digitalization. The simulations illustrate how dominant design emergences hinge on individual micro-level interactions in undifferentiated competition, grounded in opinion dynamics theory. The results indicate that interaction dynamics, sequence, and frequency disrupt the equilibrium of undifferentiated competition, increasing the likelihood of occasional events leading to a dominant design in this context. This study aims to shed light on the proactive role of users in affecting the dominant design and the subsequent generation of new user values stemming from it.
{"title":"Dominant design selected by users: Dynamic interaction and convergence of users","authors":"Dong Wu, Fan Zou","doi":"10.1016/j.technovation.2024.103166","DOIUrl":"10.1016/j.technovation.2024.103166","url":null,"abstract":"<div><div>Dominant design is ultimately shaped by market forces, and users serve as the primary driver. Previous research has revealed that dominant design is a turning point for innovation phases and firm survival. While existing research has examined dominant design from the vantage point of technology, institution, or other market factors, there remains a dearth of studies that delve into the user-driven perspective on dominant design, in which users have presented significant value in the digital era. As user-driven innovation becomes increasingly prevalent, it is impossible for dominant design to avoid the influence of users. Therefore, exploring dominant design must incorporate a user-driven perspective to account for the active agency users hold in the digital era. In this article, we develop a dynamic user interaction model to elucidate how users drive the emergence of dominant design. Specifically, leveraging simulations, we modeled a spectrum of evolution pathways for user preferences, reflecting the complex interaction environments arising from digitalization. The simulations illustrate how dominant design emergences hinge on individual micro-level interactions in undifferentiated competition, grounded in opinion dynamics theory. The results indicate that interaction dynamics, sequence, and frequency disrupt the equilibrium of undifferentiated competition, increasing the likelihood of occasional events leading to a dominant design in this context. This study aims to shed light on the proactive role of users in affecting the dominant design and the subsequent generation of new user values stemming from it.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103166"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164423","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 : 2025-02-01DOI: 10.1016/j.technovation.2024.103153
Xiangpeng Lian , Yi Zhang , Mengjia Wu , Ying Guo
Exploratory innovation relies heavily on a constant stream of new external knowledge that can be combined and recombined with existing knowledge. Scientific knowledge flows, derived from research articles, provide essential external knowledge elements for exploratory innovation. However, few studies have explored the role of scientific knowledge flows in this context. This study examines how three characteristics of scientific knowledge flows—intensity, breadth, and novelty—impact exploratory innovation, using US biomedical and life sciences firms as the sample. Additionally, we investigate the moderating role of a firm's internal knowledge base diversity in these relationships. Using a novel topic-based content analysis method, Scientific Evolutionary Pathways, we measure the breadth and novelty of scientific knowledge flows. Our results indicate that intensive scientific knowledge flows tend to generate more exploratory innovation, while the breadth and novelty of scientific knowledge flows exhibit inverted U-shaped relationships with exploratory innovation. Furthermore, the diversity of a firm's internal knowledge base negatively moderates the relationship between the intensity of scientific knowledge flows and exploratory innovation and flattens the inverted U-shaped relationships between the breadth and novelty of scientific knowledge flows and exploratory innovation.
{"title":"Do scientific knowledge flows inspire exploratory innovation? Evidence from US biomedical and life sciences firms","authors":"Xiangpeng Lian , Yi Zhang , Mengjia Wu , Ying Guo","doi":"10.1016/j.technovation.2024.103153","DOIUrl":"10.1016/j.technovation.2024.103153","url":null,"abstract":"<div><div>Exploratory innovation relies heavily on a constant stream of new external knowledge that can be combined and recombined with existing knowledge. Scientific knowledge flows, derived from research articles, provide essential external knowledge elements for exploratory innovation. However, few studies have explored the role of scientific knowledge flows in this context. This study examines how three characteristics of scientific knowledge flows—intensity, breadth, and novelty—impact exploratory innovation, using US biomedical and life sciences firms as the sample. Additionally, we investigate the moderating role of a firm's internal knowledge base diversity in these relationships. Using a novel topic-based content analysis method, Scientific Evolutionary Pathways, we measure the breadth and novelty of scientific knowledge flows. Our results indicate that intensive scientific knowledge flows tend to generate more exploratory innovation, while the breadth and novelty of scientific knowledge flows exhibit inverted U-shaped relationships with exploratory innovation. Furthermore, the diversity of a firm's internal knowledge base negatively moderates the relationship between the intensity of scientific knowledge flows and exploratory innovation and flattens the inverted U-shaped relationships between the breadth and novelty of scientific knowledge flows and exploratory innovation.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103153"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165626","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 : 2025-02-01DOI: 10.1016/j.technovation.2024.103145
Yeolan Lee, Eric A. Fong
Many organizations use external components in open innovation (OI) projects, which impacts their innovation search time. This paper builds theory about how innovation search time changes as OI projects adopt an increasing number of external components for innovation activity. It further examines how complexity moderates the relationship between the number of external components and innovation search time. Using a sample of 276 pharmaceutical product development projects, we found that complexity is an important moderator. Our results show that under low complexity there is an inverted U-shaped relationship between the number of external components and innovation search time. In contrast, under high complexity, there is a U-shaped relationship between the number of external components and innovation search time. Our results provide implications regarding the marginal effect of external technologies on innovation search time under varying degrees of complexity.
{"title":"The marginal effect of external technologies on innovation speed under complexity","authors":"Yeolan Lee, Eric A. Fong","doi":"10.1016/j.technovation.2024.103145","DOIUrl":"10.1016/j.technovation.2024.103145","url":null,"abstract":"<div><div>Many organizations use external components in open innovation (OI) projects, which impacts their innovation search time. This paper builds theory about how innovation search time changes as OI projects adopt an increasing number of external components for innovation activity. It further examines how complexity moderates the relationship between the number of external components and innovation search time. Using a sample of 276 pharmaceutical product development projects, we found that complexity is an important moderator. Our results show that under low complexity there is an inverted U-shaped relationship between the number of external components and innovation search time. In contrast, under high complexity, there is a U-shaped relationship between the number of external components and innovation search time. Our results provide implications regarding the marginal effect of external technologies on innovation search time under varying degrees of complexity.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103145"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165631","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}
Health Technology Assessment (HTA) is an evaluation and decision-support tool used by healthcare decision-makers, payers, and policymakers to inform decisions regarding the adoption, reimbursement, and utilization of health technologies. mHealth apps offer new ways of prognosis and treatment and their use is rapidly growing. Yet, they need to undergo an HTA process to justify their credibility, usability and acceptance. The aim of this study is to analyze specific domains of the HTA framework and tailor them to mHealth apps by considering patient and societal perspectives retrieved from app store information and analytics. An example of the mental mHealth apps is examined to showcase the factors affecting patients' engagement and a specific mental mHealth app performance is benchmarked against overall sector's (mental mHealth apps) and immediate competitors' performance and user preferences. This is achieved through in-depth analysis of the observed features and market characteristics of 172 mental mHealth apps and the associations observed among user preferences and app capabilities/features. The study aims to provide guidance to HTA agencies for rigorous evaluation of mHealth apps and app developers for complying with required standards and user preferences.
{"title":"Patient and societal indicators for mHealth apps’ evaluation using Health Technology Assessment framework","authors":"Korina Katsaliaki , Sameer Kumar , Panagiota Galetsi","doi":"10.1016/j.technovation.2024.103143","DOIUrl":"10.1016/j.technovation.2024.103143","url":null,"abstract":"<div><div>Health Technology Assessment (<span>HTA</span>) is an evaluation and decision-support tool used by healthcare decision-makers, payers, and policymakers to inform decisions regarding the adoption, reimbursement, and utilization of health technologies. mHealth apps offer new ways of prognosis and treatment and their use is rapidly growing. Yet, they need to undergo an HTA process to justify their credibility, usability and acceptance. The aim of this study is to analyze specific domains of the HTA framework and tailor them to mHealth apps by considering patient and societal perspectives retrieved from app store information and analytics. An example of the mental mHealth apps is examined to showcase the factors affecting patients' engagement and a specific mental mHealth app performance is benchmarked against overall sector's (mental mHealth apps) and immediate competitors' performance and user preferences. This is achieved through in-depth analysis of the observed features and market characteristics of 172 mental mHealth apps and the associations observed among user preferences and app capabilities/features. The study aims to provide guidance to HTA agencies for rigorous evaluation of mHealth apps and app developers for complying with required standards and user preferences.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103143"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164421","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 : 2025-02-01DOI: 10.1016/j.technovation.2024.103159
Llewellyn D.W. Thomas , Yuliya Snihur
Existing research into entrepreneurial framing has investigated how entrepreneurs use leadership, abstraction and familiarity emphasis in their framing to build legitimacy. However, how the media and financial analysts resonate with such framing is not known. Media and financial analysts are important information intermediaries that evaluate ecosystems and their orchestrators, as they are expert monitors offering consolidated assessments. Accordingly, we examine how the media and financial analysts resonate with the framing of a novel value proposition through an in-depth longitudinal case study of Amazon's early years. We found that Amazon differentially deployed leadership, abstraction, and familiarity framing between 1995 and 2003, decreasing leadership and increasing abstraction emphasis over time, while keeping familiarity constant. Information intermediaries resonated differently with framing: financial analysts focused more on the projective growth possibilities of the emerging ecosystem and its orchestrator, and the media focused more on real-world implications of the novel value proposition. We contribute insights about the process of entrepreneurial framing in emerging ecosystem contexts and highlight the various trade-offs that ecosystem orchestrators face when seeking resonance with the media and financial analysts. We also offer methodological suggestions for research on framing resonance that leverages linguistic analysis techniques.
{"title":"Ecosystem framing and infomediary resonance: Amazon’s early years (1995–2003)","authors":"Llewellyn D.W. Thomas , Yuliya Snihur","doi":"10.1016/j.technovation.2024.103159","DOIUrl":"10.1016/j.technovation.2024.103159","url":null,"abstract":"<div><div>Existing research into entrepreneurial framing has investigated how entrepreneurs use leadership, abstraction and familiarity emphasis in their framing to build legitimacy. However, how the media and financial analysts resonate with such framing is not known. Media and financial analysts are important information intermediaries that evaluate ecosystems and their orchestrators, as they are expert monitors offering consolidated assessments. Accordingly, we examine how the media and financial analysts resonate with the framing of a novel value proposition through an in-depth longitudinal case study of Amazon's early years. We found that Amazon differentially deployed leadership, abstraction, and familiarity framing between 1995 and 2003, decreasing leadership and increasing abstraction emphasis over time, while keeping familiarity constant. Information intermediaries resonated differently with framing: financial analysts focused more on the projective growth possibilities of the emerging ecosystem and its orchestrator, and the media focused more on real-world implications of the novel value proposition. We contribute insights about the process of entrepreneurial framing in emerging ecosystem contexts and highlight the various trade-offs that ecosystem orchestrators face when seeking resonance with the media and financial analysts. We also offer methodological suggestions for research on framing resonance that leverages linguistic analysis techniques.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103159"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-02-01DOI: 10.1016/j.technovation.2024.103160
Ehab Abu Sa’a , Fredrik Asplund
This study investigates the role of University–Industry Collaboration (UIC) in enabling cross-industry knowledge sharing, focusing on the implications of structural social capital within these collaborations. Through a multiple case study involving three distinct UIC structures, we explore how the nature of these collaborations, whether research-focused or networking-focused, influences cross-industry knowledge sharing. Our findings reveal that research-focused UIC, characterized by formal and structured interactions, primarily leverages cognitive social capital to abstract and disseminate knowledge across industries. Conversely, networking-focused UIC, which operates through informal and less-structured channels, relies mainly on relational social capital to foster direct, trust-based knowledge sharing between industries. We identify key enablers and distinctions in these UIC structures, illustrating how they shape cross-industry knowledge sharing. Specifically, we propose a conceptual model, highlighting the mediating role of social capital dimensions and the moderating effects of interest and funding. This model offers new insights into the relationship between structural social capital and cross-industry knowledge sharing in UIC. From a managerial perspective, our study suggests that whether firms engaged in UIC can leverage UIC structures for cross-industry knowledge sharing largely comes down to their own strategical development and management of social capital. From a policy perspective, our study suggests that augmenting already existing policy toward cross-regional knowledge sharing by considering aspects of networking-focused UIC and cross-industrial knowledge sharing, could leverage gains from UIC.
{"title":"Unpacking social capital in University–Industry Collaborations: Pathways to cross-industry knowledge sharing","authors":"Ehab Abu Sa’a , Fredrik Asplund","doi":"10.1016/j.technovation.2024.103160","DOIUrl":"10.1016/j.technovation.2024.103160","url":null,"abstract":"<div><div>This study investigates the role of University–Industry Collaboration (UIC) in enabling cross-industry knowledge sharing, focusing on the implications of structural social capital within these collaborations. Through a multiple case study involving three distinct UIC structures, we explore how the nature of these collaborations, whether research-focused or networking-focused, influences cross-industry knowledge sharing. Our findings reveal that research-focused UIC, characterized by formal and structured interactions, primarily leverages cognitive social capital to abstract and disseminate knowledge across industries. Conversely, networking-focused UIC, which operates through informal and less-structured channels, relies mainly on relational social capital to foster direct, trust-based knowledge sharing between industries. We identify key enablers and distinctions in these UIC structures, illustrating how they shape cross-industry knowledge sharing. Specifically, we propose a conceptual model, highlighting the mediating role of social capital dimensions and the moderating effects of interest and funding. This model offers new insights into the relationship between structural social capital and cross-industry knowledge sharing in UIC. From a managerial perspective, our study suggests that whether firms engaged in UIC can leverage UIC structures for cross-industry knowledge sharing largely comes down to their own strategical development and management of social capital. From a policy perspective, our study suggests that augmenting already existing policy toward cross-regional knowledge sharing by considering aspects of networking-focused UIC and cross-industrial knowledge sharing, could leverage gains from UIC.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103160"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Failing to capitalize on the learning opportunity offered by innovation failure can lead to the risk of what may be called a ‘double-loop’ failure. However, the scholarly literature has not examined the risk of failing to learn from the experienced innovation failure in sufficient detail. We address the deficit in insights by conducting a qualitative study with firms that have experienced innovation failure to decompose the risk of ‘double-loop’ failure. Inductive analysis of 49 responses revealed consequences and responses that characterize the post-innovation failure phase: collateral damage, precipitous response, and missed learning opportunity. Collateral damage captures resource loss, external embarrassment, and jeopardized future innovation as the outcome of failed innovation; precipitous response comprises deliberate avoidance, blame game, and negative affectivity as the reaction of internal stakeholders to failure; and missed learning opportunity unpacks into failing the stakeholders, failure to unlearn, and failure to capture knowledge. These post-innovation failure consequences and responses exacerbate the risk of double-loop failure, reducing firms' capacity to salvage any value from the failure. Based on these findings, we propose a framework, which conceptualizes the post-innovation failure dynamics as a chain reaction leading to double-loop failure. The findings and the framework serve as the basis for offering tangible and actionable suggestions for scholars and managers.
{"title":"Decomposition of double-loop failure risk in post-innovation failure phase","authors":"Juthamon Sithipolvanichgul , Amandeep Dhir , Shalini Talwar , Puneet Kaur","doi":"10.1016/j.technovation.2024.103121","DOIUrl":"10.1016/j.technovation.2024.103121","url":null,"abstract":"<div><div>Failing to capitalize on the learning opportunity offered by innovation failure can lead to the risk of what may be called a ‘<em>double-loop</em>’ failure. However, the scholarly literature has not examined the risk of failing to learn from the experienced innovation failure in sufficient detail. We address the deficit in insights by conducting a qualitative study with firms that have experienced innovation failure to decompose the risk of ‘<em>double-loop</em>’ failure. Inductive analysis of 49 responses revealed consequences and responses that characterize the post-innovation failure phase: collateral damage, precipitous response, and missed learning opportunity. Collateral damage captures resource loss, external embarrassment, and jeopardized future innovation as the outcome of failed innovation; precipitous response comprises deliberate avoidance, blame game, and negative affectivity as the reaction of internal stakeholders to failure; and missed learning opportunity unpacks into failing the stakeholders, failure to unlearn, and failure to capture knowledge. These post-innovation failure consequences and responses exacerbate the risk of double-loop failure, reducing firms' capacity to salvage any value from the failure. Based on these findings, we propose a framework, which conceptualizes the post-innovation failure dynamics as a chain reaction leading to double-loop failure. The findings and the framework serve as the basis for offering tangible and actionable suggestions for scholars and managers.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"140 ","pages":"Article 103121"},"PeriodicalIF":11.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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