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on Economics of Strategic Management |
By: | Adrien Hervouet (GAEL [2020-....] - Laboratoire d'Economie Appliquée de Grenoble [2020-....] - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA [2020-....] - Université Grenoble Alpes [2020-....] - Grenoble INP [2020-....] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2020-....] - UGA [2020-....] - Université Grenoble Alpes [2020-....]); Michel Trommetter (GAEL [2020-....] - Laboratoire d'Economie Appliquée de Grenoble [2020-....] - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA [2020-....] - Université Grenoble Alpes [2020-....] - Grenoble INP [2020-....] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2020-....] - UGA [2020-....] - Université Grenoble Alpes [2020-....]) |
Abstract: | Knowledge sharing is crucial for the success of most R&D cooperations. This paper investigates the best conditions for fostering knowledge sharing in R&D cooperation and looks at how the establishment of Public-Private R&D Partnerships (PPP in R&D) could be a useful tool for this purpose. In this end, it proposes a theoretical model, related to the R&D cooperation literature, that takes into consideration the impacts of firms outside R&D cooperation and the presence of two kinds of spillover: a technology spillover and a product rivalry effect. The model shows that both spillovers can affect knowledge sharing negatively, and that PPP in R&D can be useful to promote knowledge sharing. First, public authorities can choose partners that will facilitate efficient knowledge sharing. Second, to avoid the negative impacts of spillovers on behavior in terms of knowledge sharing, public laboratories should be used as intermediaries for the prior and strategic knowledge of firms. Public labs can use the prior knowledge of firms to innovate, and then spread this innovation among the partners of the PPP, without spreading the prior knowledge of the firms. |
Keywords: | Public-private R&D partnership,R&D cooperation,Knowledge sharing,Spillovers |
Date: | 2020–07 |
URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:hal-02906270&r=all |
By: | Andersson, Martin (Department of Industrial Economics Blekinge Institute of Technology (BTH)); Kusetogullari, Anna (Department of Industrial Economics Blekinge Institute of Technology (BTH)); Wernberg, Joakim (Swedish Entrepreneurship Forum) |
Abstract: | Several scholars as well as industry professionals have claimed that there is a “software-biased shift” in the nature and direction of innovation in that software development is a core part of innovation activities in firms across a wide array of industries. Empirical firm-level evidence of such a shift is still scant. We employ new and unique firm-level survey data on the frequency and nature of software development among firms in Sweden, matched with the Community Innovation Survey (CIS). We find robust evidence supporting a software-bias in innovation in that software development is associated with a higher likelihood of introducing innovations as well as higher innovation sales among firms in both manufacturing and services industries. Furthermore, this positive relationship is stronger for firms employing in-house software developers than for those that only use external developers, suggesting that there is a hierarchy but possibly also a complementarity between internal and external software development. We also find support for complementarity between software-based technology and human capital; the estimated marginal effect of software development on innovation is particularly strong for firms that combine in-house software development with a highly educated workforce in STEM as well as in other disciplines. |
Keywords: | Innovation; Software; Software development; Digitalization; Human capital; Software bias; Digital technology; Absorptive capacity |
JEL: | L25 O15 O32 O33 O43 |
Date: | 2020–06–30 |
URL: | http://d.repec.org/n?u=RePEc:hhs:iuiwop:1347&r=all |
By: | Kerr, William R.; Robert-Nicoud, Frédéric |
Abstract: | Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully foster them. We describe the growing influence of advanced technologies for businesses outside of traditional tech fields, the strains and backlash that tech clusters are experiencing, and emerging research questions for theory and empirical work. |
Keywords: | agglomeration; Clusters; entrepreneurship; Innovation; patents |
Date: | 2019–11 |
URL: | http://d.repec.org/n?u=RePEc:cpr:ceprdp:14143&r=all |
By: | António Carlos de Campos (State University of Maringá, Department of Economics); Luís Lopes (University of Coimbra, Centre for Business and Economics Research, CeBER and Faculty of Economics); Carlos Carreira (University of Coimbra, Centre for Business and Economics Research, CeBER and Faculty of Economics) |
Abstract: | This article analyzes spatial autocorrelations and the formation of clusters of exports, based on Research and Development (R&D) intensity in Portugal. The central idea is that exports show relative interdependence and spillover effects among nearby regions and a direct relationship with R&D expenditures. It adopts the new taxonomy of the OECD, separating exports by manufacturing and non-manufacturing activities. Methodologically, is was used Exploratory Spatial Data Analysis (ESDA), utilizing Global Moran's Index and LISA. The results showed the presence of positive spatial autocorrelation of exports and the formation of a cluster of the High-High type for the Porto metropolitan region and Aveiro region. There was no confirmation of positive spatial autocorrelation for R&D expenditures among the regions of Portugal. However, there was both a positive spatial autocorrelation for exports associated with R&D expenditures as well as the formation of a regional cluster with high-high pattern for the Aveiro region. This outcome can be explained, in part, by nationally and internationally recognized universities and research centers surrounding the region, favoring knowledge spillovers across the regions. |
Keywords: | Export; R&D expenditures; Spatial autocorrelation; Technological intensity; Clusters; Spillovers; Portugal. |
JEL: | F10 F14 O32 R12 |
Date: | 2020 |
URL: | http://d.repec.org/n?u=RePEc:gmf:papers:2020-13&r=all |
By: | Estrin, Saul; Korosteleva, Julia; Mickiewicz, Tomasz |
Abstract: | We posit that entrepreneurs who engage in strategic activities will have high growth aspirations. Our proposed mechanism is that strategic engagements, specifically product innovation, process innovation and internationalization, open entrepreneurial ventures to learning, and thereby greater growth opportunities. Furthermore, these learning effects are reinforced in research-intensive industrial environments. We apply multilevel random slope estimation for individuals from 74 countries, 2001–2015, to derive results consistent with our hypotheses. The findings are robust to potential reverse causality between strategic behavior and growth aspirations, and to selection bias resulting from strategic engagements being only observed for actual entrepreneurs. |
Keywords: | entrepreneurship; exporting; global entrepreneurship monitor; growth aspirations; innovation; knowledge |
JEL: | R14 J01 J1 |
Date: | 2020–03–26 |
URL: | http://d.repec.org/n?u=RePEc:ehl:lserod:104043&r=all |
By: | William R. Kerr; Frédéric Robert-Nicoud |
Abstract: | Tech clusters like Silicon Valley play a central role for modern innovation, business competitiveness, and economic performance. This paper reviews what constitutes a tech cluster, how they function internally, and the degree to which policy makers can purposefully foster them. We describe the growing influence of advanced technologies for businesses outside of traditional tech fields, the strains and backlash that tech clusters are experiencing, and emerging research questions for theory and empirical work. |
JEL: | L26 M13 O30 O31 R11 R12 |
Date: | 2020–06 |
URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:27421&r=all |
By: | Amat Adarov (The Vienna Institute for International Economic Studies); Robert Stehrer (The Vienna Institute for International Economic Studies) |
Abstract: | The study analyses the relationships between capital dynamics, productivity, global value chains and foreign direct investment using panel data techniques. Among other results, we confirm the high importance of tangible and intangible ICT capital for productivity and GVC integration. We examine the extent of underinvestment in ICT in the EU relative to other major economies and identify bottlenecks for efficient capital allocation. The sluggish economic performance of the EU in the post-crisis period has been further challenged by the COVID-19 outbreak. Consolidating policy efforts to facilitate ICT investment, tackling the barriers to ICT adoption and broad-based digitalisation are critical for the EU in order to maintain a competitive edge and unlock new growth opportunities in the new normal. |
Keywords: | productivity, digitalisation, ICT capital, FDI, global value chains, barriers to ICT investments, intangible capital |
JEL: | F14 F15 F21 E22 O47 |
Date: | 2020–06 |
URL: | http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc121096&r=all |
By: | Bruno Bittencourt (UNISINOS - Universidade do Vale do Rio dos Sinos); Aurora Zen (UFRGS - Universidade Federal do Rio Grande do Sul [Porto Alegre]); Diego Santos (UFRGS - Universidade Federal do Rio Grande do Sul [Porto Alegre]) |
Abstract: | The universities have become more entrepreneurial and constitute innovation ecosystems, responsible for promoting innovation and generating development for people, busines and regions. Although the theme of innovation ecosystems has been expanding in the literature, there is a gap about the management/orchestration of those environments. Therefore, this paper aims at understanding which are the roles and activities of the orchestrator of the university innovation ecosystem. For that, we conducted an action research in the innovation ecosystem of UFRGS, orchestrated by its Science and Technological Park, Zenit. We identified key success factors for that process and we understood that the orchestrator of the university has as roles and activities: ap and compose the network, link complementary actors, construct knowledge activation, facilitate transactions) a demands, recognize and commercialize innovation, manage innovation appropriability). From that, we proposed some insigths to facilitate actions for the orchestration of the innovation ecosystem in the university. |
Keywords: | innovation ecosystem,universities,network orchestrator,orchestration |
Date: | 2020–04–01 |
URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-02865709&r=all |
By: | Alola, Uju; Asongu, Simplice; Alola, Andrew |
Abstract: | Applying the conservation of resources theory and the self-efficacy theory, this study investigates the relationship between supervisor incivility, self-efficacy, cynicism and the job embeddedness of employees in the hotel industry. The role of self-efficacy, as an important variable that mediates the relationship between the predictor and the criterion variable, is significantly evaluated. A non-probability sampling technique was used to collect 245 questionnaires from frontline employees of five- and four-star hotels in Nigeria. The findings reveal that supervisor incivility has a negative effect on self-efficacy and a positive effect on cynicism, and that self-efficacy negatively affects cynicism. There was no significant relationship with job embeddedness in the study. Importantly, the investigation establishes that self-efficacy is a mediating variable between supervisor incivility and cynicism. The study noted the importance of adopting a policy that introduces periodic seminars and professional training for both employees and supervisors, as a means for curbing incivility and cynicism. The study concludes with theoretical and practical implications, leaving room for further investigation. |
Keywords: | supervisor incivility; cynicism; self-efficacy; job embeddedness; Nigeria |
JEL: | D23 M12 O55 |
Date: | 2019–01 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:102055&r=all |
By: | Becchetti, Leonardo; Conzo, Gianluigi; Conzo, Pierluigi; Salustri, Francesco (University of Turin) |
Abstract: | he uneven geographical distribution of the novel coronavirus epidemic (COVID-19) in Italy is a puzzle given the intense flow of movements among the different geographical areas before lockdown decisions. To shed light on it, we test the effect of the quality of air (as measured by particulate matter and nitrogen dioxide) and lockdown restrictions on daily adverse COVID-19 outcomes at province level. We find that air pollution is positively correlated with adverse outcomes of the epidemic, withlockdown being strongly significant and more effective in reducing deceases in more polluted areas. Results are robust to different methods including cross-section, pooled and fixed-effect panel regressions (controlling for spatial correlation), instrumental variable regressions, and difference-in-differences estimates of lockdown decisions through predicted counterfactual trends. They are consistent with the consolidated body of literature in previous medical studies suggesting that poor quality of air creates chronic exposure to adverse outcomes from respiratory diseases. The estimated correlation does not change when accounting for other factors such as temperature, commuting flows, quality of regional health systems, share of public transport users, population density, the presence of Chinese community, and proxies for industry breakdown such as the share of small (artisan) firms. Our findings provide suggestions for investigating uneven geographical distribution patterns in other countries, and have implications for environmental and lockdown policies. |
Date: | 2020–06 |
URL: | http://d.repec.org/n?u=RePEc:uto:dipeco:202014&r=all |