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on Economics of Strategic Management |
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Issue of 2022‒04‒11
seven papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Hille, Carsten; Morcinczyk-Meier, Daria; Schneider, Sarah; Mietzner, Dana |
| Abstract: | In this paper, we address a specific tool-InnoMix-that is implemented to overcome the lack of university-industry interaction in a selected region facing structural change with its corresponding impact on the economy and society. InnoMix is facilitated and implemented by university-based transfer scouts who act as mediators and translators between the players of the regional innovation system. These transfer scouts are part of the Innovation Hub 13, in which the region's partners and stakeholders, infrastructures and competencies are systematically networked with each other to set new impulses for knowledge and technology transfer. These new impulses are brought into the region through new transfer approaches ranging from people and tools to infrastructure. InnoMix can be considered to be a highly interactive tool to overcome the weak, direct interaction between researchers and potential corporate partners in the region to foster strong collaboration between academia and industry. InnoMix especially aims to strengthen interdisciplinary exchange to shed light on cross-disciplinary perspectives. For that reason, transfer scouts focusing on transfer activities related to the life sciences, digitalisation and lightweight construction are involved in the implementation of InnoMix. Based on 11 InnoMix running since 2019, we provide insights into the planning and preparation phase of InnoMix and the selection of relevant topics and requirements for matching participants. Furthermore, we clearly indicate which formats of InnoMix work best and in which way university-industry interactions could be curated after InnoMix is implemented. |
| Keywords: | collaboration,transfer scouts,knowledge and technology transfer (KTT),innovation,innovation hub,networking/matchmaking |
| Date: | 2021 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:thwftt:001&r= |
| By: | Massimiliano Mazzanti (University of Ferrara); Francesco Nicolli (University of Ferrara); Stefano Pareglio (Università Cattolica del Sacro Cuore); Marco Quatrosi (University of Ferrara) |
| Abstract: | Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The set of questions span from economic and financial performances to innovation adoption (product, process, organization), to circular economy implementation and environmental protection. Clustering has been chosen to identify groups of firms with respect to multiple and diverse characteristics without any preexisting hypothesis on a possible relationship among the variables. Results will group profiles of enterprises considering the information on multi-dimensional aspects of a firm. Indeed, the overarching aim of this work is to single out common characteristics among the diverse landscape of enterprises within the manufacturing sector. This will in turn support (local and national) policy makers in better designing and targeting an appropriate set of policy instruments with respect to the relevant areas (i.e., circular economy, environmental protection, eco-innovation) of the ecological/sustainability transition. If the one-size-fits-all has not been proved a viable approach in policy making, a more targeted intervention at policy level tackling the consistent heterogeneity of the manufacturing tissue might improve the effectiveness of (sectorial) policies. |
| Keywords: | Circular Economy, Sustainable production, Environmental Innovation, Cluster analysis, Firm profile |
| JEL: | O30 O44 O55 |
| Date: | 2022–02 |
| URL: | http://d.repec.org/n?u=RePEc:fem:femwpa:2022.06&r= |
| By: | Da Silva, Filipe; Núñez Reyes, Georgina |
| Abstract: | The data economy has presented challenges that go far beyond the scope of traditional regulatory frameworks and competition policies. The role of data, digitalization and the dynamic those factors have imposed on the economy have created significant challenges that the regulatory authorities must confront. At the heart of the debate is the impact of digitally-enabled business models and the digital platforms themselves. In this context, many enterprises, particularly small ones, are facing unfair competition from digitally native companies. The digitalization of the economy, the digitally-enabled business model and the intensive use of data are generating opportunities for enterprises and governments. The creation of data marketplaces and the elimination of barriers to the free flow of data have the potential to improve innovation and productivity in the economy. From a fiscal perspective, understanding the role of data and pricing them are therefore essential to closing gaps and levelling the playing field. Moreover, it is primarily start-ups and disruptor companies that benefit from the pricing of databases.The data economy has presented challenges that go far beyond the scope of traditional regulatory frameworks and competition policies. The role of data, digitalization and the dynamic those factors have imposed on the economy have created significant challenges that the regulatory authorities must confront. At the heart of the debate is the impact of digitally-enabled business models and the digital platforms themselves. In this context, many enterprises, particularly small ones, are facing unfair competition from digitally native companies. The digitalization of the economy, the digitally-enabled business model and the intensive use of data are generating opportunities for enterprises and governments. The creation of data marketplaces and the elimination of barriers to the free flow of data have the potential to improve innovation and productivity in the economy. From a fiscal perspective, understanding the role of data and pricing them are therefore essential to closing gaps and levelling the playing field. Moreover, it is primarily start-ups and disruptor companies that benefit from the pricing of databases. |
| Keywords: | ECONOMIA BASADA EN EL CONOCIMIENTO, TECNOLOGIA DIGITAL, MERCADOS, BASES DE DATOS, COMERCIALIZACION, ESTRATEGIA EMPRESARIAL, TECNOLOGIA DE LA INFORMACION, TECNOLOGIA DE LAS COMUNICACIONES, INTERNET, BANCOS, OPERACIONES BANCARIAS, COMPETENCIA, KNOWLEDGE-BASED ECOMOMY, DIGITAL TECHNOLOGY, MARKETS, DATABASES, MARKETING, CORPORATE STRATEGIES, INFORMATION TECHNOLOGY, COMMUNICATION TECHNOLOGY, INTERNET, BANKS, BANKING, COMPETITION |
| Date: | 2022–03–04 |
| URL: | http://d.repec.org/n?u=RePEc:ecr:col022:47773&r= |
| By: | Rammer, Christian; Es-Sadki, Nordine |
| Abstract: | Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditure and patents - provide an incomplete picture as they represent inputs and throughputs in the innovation process. Output measurement of innovation has strongly been relying on survey data such as the Community Innovation Survey (CIS), but suffers from several short-comings typical to sample surveys, including incomplete coverage of the firm sector, low timeliness and limited comparability across industries and firms. The availability of big data sources has initiated new efforts to collect innovation data at the firm level. This paper discusses recent attempts of using digital big data sources on firms for generating firm-level innovation indicators, including Websites and social media. It summarises main challenges when using big data and proposes avenues for future research. |
| Keywords: | Big data,innovation indicators,CIS,literature review |
| JEL: | O30 C81 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:22007&r= |
| By: | Davide Antonioli (University of Ferrara); Claudia Ghisetti (Università degli Studi di Milano-Bicocca); Stefano Pareglio (Università Cattolica del Sacro Cuore); Marco Quatrosi (University of Ferrara) |
| Abstract: | This paper builds on the available knowledge on what drives firms’ production choices towards circular economy practices to shed new light on a so far quite neglected dimension: the role of organizational settings. Being the transition to a more circular economy systemic in nature, itdraws not only on technological but also on organizational changes and new set-ups. Coherently, the paper investigates how certain organizational settings (such as practices of communication to employees on critical aspects of the life of the company, the implementation of new performance evaluation mechanisms and incentive-based payment methods and the implementation of changes in recruitment and training of (new) employees affect the adoption of circular economy innovation. The work is empirical, and it draws on a newly collected dataset representative for Italian manufacturing firms in 2017-2018. Results show new light on the role of such organizational set-ups, which are found to be making the transition towards a circular economy more effective. |
| Keywords: | Circular Economy, Sustainable Production, Environmental Innovation, Organisational Change |
| JEL: | O30 O44 O55 |
| Date: | 2022–02 |
| URL: | http://d.repec.org/n?u=RePEc:fem:femwpa:2022.07&r= |
| By: | Antonioli, Davide; Ghisetti, Claudia; Mazzanti, Massimiliano; Nicolli, Francesco |
| Abstract: | Assessing the economic consequences of sustainable production choices aimed at reducing environmental negative externalities is crucial for policy making, in light of the increasing interest and awareness experienced in the recent EU policy packages (Circular Economy package; European Green Deal and Recovery Fund to support sustainable transition). This assessment is one of the goal of the current work, which tries to provide new empirical evidence on the economic returns of such choices, drawing on previous literature on the underlying determinants of greener production choices, which are stated to differ from standard technological innovations as they are subject to a knowledge and an environmental externality. Using an original dataset on about 3000 Italian manufacturing firms we provide evidence on the relations among innovations related to the Circular Economy concept and economic outcome in the short run. The evidence shows that in the short run it is difficult to obtain economic gains, especially for the SMEs. |
| Keywords: | Livestock Production/Industries, Production Economics |
| Date: | 2022–02–22 |
| URL: | http://d.repec.org/n?u=RePEc:ags:feemwp:319761&r= |
| By: | Noack, Anika |
| Abstract: | Even before the corona pandemic broke out in 2020, the role of digitalisation became more and more apparent within Knowledge and Technology Transfer (KTT) processes. Since the pandemic,intermediary organisations that bridge the distance between academia and the world of business to pave the way for successful university-industry linkages have not primarily been able to build on face-to-face-encounters to create those relations. Based on an ongoing research project, this paper examines how digitally mediated communications potentially enhance or limit knowledge and technology transfer that is primarily based on face-to-face interactions.On the one hand, the use of digitally mediated communications seem to foster the spatial expansion of networks, save travel times and costs and foster a special form of social inclusion. University-industry-relations, on the other hand,still rely on a positive evaluation of face-to-face contacts and geographical proximity for trust to develop between heterogeneous partners. Here, actors with bridging functions like transfer scouts are vital in enabling a regular communicative exchange to create commitment, social cohesion and cooperation in digital contexts. Although the relevance of digitalised transfer processes has been increasing over time, an important set of activities, involving face-to-face contacts and co-location, currently still plays a major role for transfer intermediaries in university-industry-relations. |
| Keywords: | Knowledge and technology transfer (KTT),transfer intermediaries,face-to-faceinteractions,mutual trust,focused ethnography |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:thwftt:004&r= |