Pub Date : 2023-02-16DOI: 10.1080/13662716.2022.2144146
Hyunjae Jung
ABSTRACT Using Oracle’s enterprise software platform ecosystem, we demonstrate how the platform players involved in or affected by alliances adjust their post-alliance technology search behaviours to address potential competitive challenges. While both platform owners and platform participants increase searches for each other’s technology after the formation of a technology alliance, we find that the latter also increase the technology searches for the main rival platform owner, likely in order to hedge the risk of being exclusively tied to the former. We further find that the rival platform owner also increases searches for the technology of the platform participant in order to neutralise potential competitive threats from the focal alliance. In doing so, this study cross-pollinates the separate research streams of platform ecosystems and alliances in order to examine the competitive interplays between platform player and the resulting technological evolution in a platform ecosystem.
{"title":"Platform participants hedging risk: post-alliance technology search of a platform participant and a rival platform","authors":"Hyunjae Jung","doi":"10.1080/13662716.2022.2144146","DOIUrl":"https://doi.org/10.1080/13662716.2022.2144146","url":null,"abstract":"ABSTRACT Using Oracle’s enterprise software platform ecosystem, we demonstrate how the platform players involved in or affected by alliances adjust their post-alliance technology search behaviours to address potential competitive challenges. While both platform owners and platform participants increase searches for each other’s technology after the formation of a technology alliance, we find that the latter also increase the technology searches for the main rival platform owner, likely in order to hedge the risk of being exclusively tied to the former. We further find that the rival platform owner also increases searches for the technology of the platform participant in order to neutralise potential competitive threats from the focal alliance. In doing so, this study cross-pollinates the separate research streams of platform ecosystems and alliances in order to examine the competitive interplays between platform player and the resulting technological evolution in a platform ecosystem.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"719 - 753"},"PeriodicalIF":3.9,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49236453","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 : 2023-02-07DOI: 10.1080/13662716.2023.2173561
Francesco Di Lorenzo, C. Sabel
{"title":"Corporate Venture Capital and Startup Outcomes: The Roles of Investment Timing and Multiple Corporate Investors","authors":"Francesco Di Lorenzo, C. Sabel","doi":"10.1080/13662716.2023.2173561","DOIUrl":"https://doi.org/10.1080/13662716.2023.2173561","url":null,"abstract":"","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44958280","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 : 2023-01-31DOI: 10.1080/13662716.2022.2152313
J. Zotti, C. Socci, F. Severini, Giancarlo Infantino
ABSTRACT The simple but deep sense of technological progress (TP) lies in the possibility of improving human life. The immediate question thereafter is clearly about the distribution of the gains from TP. With the diffusion of automation and artificial intelligence, fears about the implications of TP on employment and wages have gained renewed importance. While scholars are divided on the effects of this new wave of TP, they agree that every economy will be affected differently, and hence, it will require tailored policy measures. In this paper, we frame how TP could affect the Italian economy, as it is now. We simulate four different scenarios through a dynamic computable general equilibrium model with three types of labour and six types of households. We calibrate the model on the social accounting matrix, and we find that TP returns higher growth patterns albeit with disruptive effects on labour.
{"title":"Scenarios of technological progress in Italy: what can we expect?","authors":"J. Zotti, C. Socci, F. Severini, Giancarlo Infantino","doi":"10.1080/13662716.2022.2152313","DOIUrl":"https://doi.org/10.1080/13662716.2022.2152313","url":null,"abstract":"ABSTRACT The simple but deep sense of technological progress (TP) lies in the possibility of improving human life. The immediate question thereafter is clearly about the distribution of the gains from TP. With the diffusion of automation and artificial intelligence, fears about the implications of TP on employment and wages have gained renewed importance. While scholars are divided on the effects of this new wave of TP, they agree that every economy will be affected differently, and hence, it will require tailored policy measures. In this paper, we frame how TP could affect the Italian economy, as it is now. We simulate four different scenarios through a dynamic computable general equilibrium model with three types of labour and six types of households. We calibrate the model on the social accounting matrix, and we find that TP returns higher growth patterns albeit with disruptive effects on labour.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"1029 - 1059"},"PeriodicalIF":3.9,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47330535","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 : 2023-01-23DOI: 10.1080/13662716.2022.2161874
E. Golovko, Cindy Lopes-Bento, W. Sofka
ABSTRACT Exporting provides important learning opportunities for firms. Learning by exporting literature has primarily focused on general performance outcomes of learning such as productivity or technological innovation outcomes such as patents or product innovation. We use learning mechanisms from this literature and develop arguments for marketing innovation outcomes of learning by exporting. We further theorise how learning outcomes vary across firms depending on firms’ levels of marketing and technological capabilities. We test these hypotheses using a panel of Spanish manufacturing firms for 2007–2013 and find that exporting is associated with more marketing innovations. This learning effect is stronger for firms with leading marketing capabilities, and this effect is independent from the technological leadership status of the firm.
{"title":"Learning by exporting for marketing innovation","authors":"E. Golovko, Cindy Lopes-Bento, W. Sofka","doi":"10.1080/13662716.2022.2161874","DOIUrl":"https://doi.org/10.1080/13662716.2022.2161874","url":null,"abstract":"ABSTRACT Exporting provides important learning opportunities for firms. Learning by exporting literature has primarily focused on general performance outcomes of learning such as productivity or technological innovation outcomes such as patents or product innovation. We use learning mechanisms from this literature and develop arguments for marketing innovation outcomes of learning by exporting. We further theorise how learning outcomes vary across firms depending on firms’ levels of marketing and technological capabilities. We test these hypotheses using a panel of Spanish manufacturing firms for 2007–2013 and find that exporting is associated with more marketing innovations. This learning effect is stronger for firms with leading marketing capabilities, and this effect is independent from the technological leadership status of the firm.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"607 - 635"},"PeriodicalIF":3.9,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47235965","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 : 2023-01-19DOI: 10.1080/13662716.2023.2168519
J. Woolley
ABSTRACT Collaborating with one competitor is difficult but collaborating with several competitors is a monumental challenge. However, multi-competitor coopetition, or cooperation between multiple competitors, is increasing. This study examines how recent advancements in artificial intelligence (AI) and blockchain can support multi-competitor coopetition by enhancing governance. Examining two coopetitive R&D consortia in pharmaceuticals and medical imaging, we find that a nascent form of AI called federated learning can address key coopetition concerns such proprietary and confidential data protection, knowledge leakage, data sovereignty and silos thereby maintaining organisational boundaries and autonomy. The use of federated learning and blockchain increases transparency and accountability, which reduces information asymmetries and power differential inequities. Together, these technologies decentralise governance and authority, reducing the tension between collective value creation and individual value appropriation inherent in coopetition, particularly those with multiple competitors. Finally, this study illustrates how emerging technologies challenge traditional assumptions about organisational boundaries, distributed innovation, and coopetition.
{"title":"Getting along with frenemies: enhancing multi-competitor coopetition governance through artificial intelligence and blockchain","authors":"J. Woolley","doi":"10.1080/13662716.2023.2168519","DOIUrl":"https://doi.org/10.1080/13662716.2023.2168519","url":null,"abstract":"ABSTRACT Collaborating with one competitor is difficult but collaborating with several competitors is a monumental challenge. However, multi-competitor coopetition, or cooperation between multiple competitors, is increasing. This study examines how recent advancements in artificial intelligence (AI) and blockchain can support multi-competitor coopetition by enhancing governance. Examining two coopetitive R&D consortia in pharmaceuticals and medical imaging, we find that a nascent form of AI called federated learning can address key coopetition concerns such proprietary and confidential data protection, knowledge leakage, data sovereignty and silos thereby maintaining organisational boundaries and autonomy. The use of federated learning and blockchain increases transparency and accountability, which reduces information asymmetries and power differential inequities. Together, these technologies decentralise governance and authority, reducing the tension between collective value creation and individual value appropriation inherent in coopetition, particularly those with multiple competitors. Finally, this study illustrates how emerging technologies challenge traditional assumptions about organisational boundaries, distributed innovation, and coopetition.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43355554","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 : 2023-01-18DOI: 10.1080/13662716.2022.2164257
Marc D. Bahlmann
ABSTRACT Understanding heuristics in stage financing is imperative, given the consequences of staging for both new venture entrepreneurs and VC investors. This study documents how entrepreneurs’ physical attractiveness affects VCs’ staging intensity during the early stages of the funding process, while taking into account the ethnic constellation of a given VC – entrepreneur dyad. Using a dataset for a representative sample of 231 European IT-ventures, the study finds that physical attractiveness of the lead entrepreneur and the ethnic constellation of a given VC-entrepreneur dyad independently and jointly affect a VC’s staging intensity during the early stages of the financing process. These findings were subjected to a two-stage least squares analysis and Heckman selection models.
{"title":"Attractiveness, ethnicity, and stage financing: exploring heuristics in venture capital staging","authors":"Marc D. Bahlmann","doi":"10.1080/13662716.2022.2164257","DOIUrl":"https://doi.org/10.1080/13662716.2022.2164257","url":null,"abstract":"ABSTRACT Understanding heuristics in stage financing is imperative, given the consequences of staging for both new venture entrepreneurs and VC investors. This study documents how entrepreneurs’ physical attractiveness affects VCs’ staging intensity during the early stages of the funding process, while taking into account the ethnic constellation of a given VC – entrepreneur dyad. Using a dataset for a representative sample of 231 European IT-ventures, the study finds that physical attractiveness of the lead entrepreneur and the ethnic constellation of a given VC-entrepreneur dyad independently and jointly affect a VC’s staging intensity during the early stages of the financing process. These findings were subjected to a two-stage least squares analysis and Heckman selection models.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"392 - 421"},"PeriodicalIF":3.9,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49463757","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 : 2023-01-11DOI: 10.1080/13662716.2022.2163882
Anna Bergek, Hans Hellsmark, K. Karltorp
ABSTRACT In the new paradigm of ‘transformative’ or ‘mission-oriented’ innovation policy, which addresses broad societal challenges, policy makers are given a large responsibility for setting or shaping the direction of socio-technical transitions. However, the literature has so far not provided much concrete advice on how to achieve directionality in practice. The main argument of this conceptual article is that a more detailed approach is needed to better understand the challenges policy makers might face when they attempt to translate societal goals into more concrete and actionable policy agendas. It identifies and discusses eight analytically derived directionality challenges: handling goal conflicts, defining system boundaries, identifying realistic pathways, formulating strategies, realising destabilisation, mobilising relevant policy domains, identifying target groups, and accessing intervention points. To illustrate these challenges, the article uses examples from the implementation of the Swedish climate goal in the process industry.
{"title":"Directionality challenges for transformative innovation policy: lessons from implementing climate goals in the process industry","authors":"Anna Bergek, Hans Hellsmark, K. Karltorp","doi":"10.1080/13662716.2022.2163882","DOIUrl":"https://doi.org/10.1080/13662716.2022.2163882","url":null,"abstract":"ABSTRACT In the new paradigm of ‘transformative’ or ‘mission-oriented’ innovation policy, which addresses broad societal challenges, policy makers are given a large responsibility for setting or shaping the direction of socio-technical transitions. However, the literature has so far not provided much concrete advice on how to achieve directionality in practice. The main argument of this conceptual article is that a more detailed approach is needed to better understand the challenges policy makers might face when they attempt to translate societal goals into more concrete and actionable policy agendas. It identifies and discusses eight analytically derived directionality challenges: handling goal conflicts, defining system boundaries, identifying realistic pathways, formulating strategies, realising destabilisation, mobilising relevant policy domains, identifying target groups, and accessing intervention points. To illustrate these challenges, the article uses examples from the implementation of the Swedish climate goal in the process industry.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"1110 - 1139"},"PeriodicalIF":3.9,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49296087","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 : 2023-01-02DOI: 10.1080/13662716.2022.2151873
Henry Lopez‐Vega, Jerker Moodysson
ABSTRACT Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26 digital technology topics that are transforming the automotive industry. The digital technology topics are distributed across four ideal-typical technology categories for transformation: augmenting, spanning, transforming, and disrupting. This study illustrates the value of studying digital technologies’ transformative nature using an integrating framework; it reveals that digital technologies in the automotive industry have mainly incremental characteristics but that these characteristics provide necessary preconditions for the few more radical technologies to achieve their potential in transforming the industry.
{"title":"Digital Transformation of the Automotive Industry: An Integrating Framework to Analyse Technological Novelty and Breadth","authors":"Henry Lopez‐Vega, Jerker Moodysson","doi":"10.1080/13662716.2022.2151873","DOIUrl":"https://doi.org/10.1080/13662716.2022.2151873","url":null,"abstract":"ABSTRACT Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26 digital technology topics that are transforming the automotive industry. The digital technology topics are distributed across four ideal-typical technology categories for transformation: augmenting, spanning, transforming, and disrupting. This study illustrates the value of studying digital technologies’ transformative nature using an integrating framework; it reveals that digital technologies in the automotive industry have mainly incremental characteristics but that these characteristics provide necessary preconditions for the few more radical technologies to achieve their potential in transforming the industry.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"67 - 102"},"PeriodicalIF":3.9,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42257982","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 : 2023-01-02DOI: 10.1080/13662716.2022.2161875
E. Cefis, Riccardo Leoncini, L. Marengo, Sandro Montresor
ABSTRACT The unfolding of the digital transformation, often associated with the advent of the Fourth Industrial Revolution, has been attracting increasing attention in diverse academic disciplines. The related research has already populated several special issues that represent important guideposts for future studies on the topic. However, a paper collection with an ‘Industry and Innovation’ perspective, dealing with how firms behave, innovate, and perform in the new industrial paradigm, is still missing. This special issue aims to fill this gap. The six research articles investigate how firms face digital transformation from three different angles, looking at its determinants, the patterns of its unfolding, and its techno-economic effects. The variety of the theoretical backgrounds, data sources, and empirical methodologies, along with the originality and managerial/policy relevance of their results, make the special issue a privileged point of view to investigate the new industrial paradigm.
{"title":"Firms and innovation in the new industrial paradigm of the digital transformation","authors":"E. Cefis, Riccardo Leoncini, L. Marengo, Sandro Montresor","doi":"10.1080/13662716.2022.2161875","DOIUrl":"https://doi.org/10.1080/13662716.2022.2161875","url":null,"abstract":"ABSTRACT The unfolding of the digital transformation, often associated with the advent of the Fourth Industrial Revolution, has been attracting increasing attention in diverse academic disciplines. The related research has already populated several special issues that represent important guideposts for future studies on the topic. However, a paper collection with an ‘Industry and Innovation’ perspective, dealing with how firms behave, innovate, and perform in the new industrial paradigm, is still missing. This special issue aims to fill this gap. The six research articles investigate how firms face digital transformation from three different angles, looking at its determinants, the patterns of its unfolding, and its techno-economic effects. The variety of the theoretical backgrounds, data sources, and empirical methodologies, along with the originality and managerial/policy relevance of their results, make the special issue a privileged point of view to investigate the new industrial paradigm.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"1 - 16"},"PeriodicalIF":3.9,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44087047","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 : 2022-12-26DOI: 10.1080/13662716.2022.2156851
M. Damiani, F. Pompei, A. Kleinknecht
ABSTRACT In our analysis of the impact of robot adoption on the use of flexible contracts in six European countries, we find that control for the type of innovation model that is dominant in an industry is crucial. In a ‘high knowledge cumulativeness’ innovation regime, robot adoption reduces the probability that high-skilled workers will receive temporary contracts, while no significant effect has been found for medium- and low-skilled workers. The rationale is: In a high cumulativeness regime, innovation depends on a firm’s internal knowledge sources, and high-skilled (rather than medium- and low-skilled) workers are crucial carriers of knowledge. The situation is different in ‘low-cumulativeness’ regimes. In the latter, firms are primarily using externally acquired knowledge in their innovation process. This makes workers more easily interchangeable and robot adoption significantly increases the probability to get temporary jobs for both medium- and high-skilled workers, but leaves low-skilled workers unaffected.
{"title":"Robots, skills and temporary jobs: evidence from six European countries","authors":"M. Damiani, F. Pompei, A. Kleinknecht","doi":"10.1080/13662716.2022.2156851","DOIUrl":"https://doi.org/10.1080/13662716.2022.2156851","url":null,"abstract":"ABSTRACT In our analysis of the impact of robot adoption on the use of flexible contracts in six European countries, we find that control for the type of innovation model that is dominant in an industry is crucial. In a ‘high knowledge cumulativeness’ innovation regime, robot adoption reduces the probability that high-skilled workers will receive temporary contracts, while no significant effect has been found for medium- and low-skilled workers. The rationale is: In a high cumulativeness regime, innovation depends on a firm’s internal knowledge sources, and high-skilled (rather than medium- and low-skilled) workers are crucial carriers of knowledge. The situation is different in ‘low-cumulativeness’ regimes. In the latter, firms are primarily using externally acquired knowledge in their innovation process. This makes workers more easily interchangeable and robot adoption significantly increases the probability to get temporary jobs for both medium- and high-skilled workers, but leaves low-skilled workers unaffected.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"30 1","pages":"1060 - 1109"},"PeriodicalIF":3.9,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48537028","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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