nep-sbm New Economics Papers
on Small Business Management
Issue of 2022‒06‒13
eleven papers chosen by
João Carlos Correia Leitão
Universidade da Beira Interior

  1. The Determinants of Internet User Skills in Europe By Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Giardinelli, Vito O. M.; Massaro, Alessandro
  2. Innovative performance and firm size: a meta-regression analysis By Bachmann, Federico; Liseras, Natacha; Graña, Fernando Manuel
  3. Assessment of the advancement of market-upstream innovations and of the performance of research and innovation projects By Svetlana Klessova; Sebastian Engell; Catherine Thomas
  4. Mapping low-carbon industrial technologies projects funded by ERDF in 2014-2020 By MARQUES SANTOS Anabela; RESCHENHOFER Peter; BACHTRÖGLER-UNGER Julia; CONTE Andrea; MEYER Niels
  5. From the Systems of Innovation Approach to a General Theory of Innovation: Do Activities and Functions Reflect what Happens in Innovation Systems? By Edquist, Charles; Laatsit, Mart
  6. Green credit policy and total factor productivity: Evidence from Chinese listed companies By Shu, Guo; ZhongXiang, Zhang
  7. Technological Innovations By Mai, Nhat Chi
  8. Value Co-Creation As A Marketing Practice: Performance And Firm-level Antecedents By Carole Charbonnel
  9. Relatedness in regional development: in search of the right specification By Yang Li; Frank Neffke
  10. Business entry and exit in the COVID-19 pandemic: A preliminary look at official data By Ryan A. Decker; John Haltiwanger
  11. Exploring Medtech Innovation Ecosystems: A Dynamic Capabilities Approach By Mathias Béjean; Anaïs Garin

  1. By: Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Giardinelli, Vito O. M.; Massaro, Alessandro
    Abstract: The following article indicates the determinants of “Internet User Skills” among European countries based on the application of the database deriving from the DESI-Index. The data were analyzed using the following econometric models, namely: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS, WLS corrected for heteroskedasticity. The Elbow method and the Silouette coefficient method were compared for the optimization of the number of clusters obtained by the k-Means algorithm. The result shows the presence of 5 clusters. A network analysis was carried out using the Euclidean distance with the result of identifying two network structures between some analyzed countries. subsequently a comparison was made between six different machine learning algorithms for the prediction of the future value of the variable of interest. The result shows that the best predictor algorithm is Gradient Boosted Tree Regression with an expected value of the predicted variable increasing by a value of 1.75%. Later a further comparison was made by comparing 6 algorithms with the increased data. The result shows that the best predictor is Simple Regression Tree. The interest variable is predicted to decrease by an amount equal to -6.099%. Statistical errors improve on average by 32.43% in the transition between the original data and the increased data.
    Keywords: Innovation, and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation
    JEL: O30 O31 O32 O33 O34
    Date: 2022–05–18
  2. By: Bachmann, Federico; Liseras, Natacha; Graña, Fernando Manuel
    Abstract: The aim of this research is to determine factors related to observed heterogeneity in the empirical literature regarding the relationship between size and innovative performance at firm level. Based on a systematic review of international literature published between 1993 and 2017, a meta-regression analysis is carried out in order to evaluate publication bias in the empirical evidence. The results show a positive relationship between firm size and innovative performance, which is moderated by diverse factors. Among them, methodological choices of the authors prevail, linked to the operationalization of size and innovation. Signs of publication bias are detected, and partially explained by methodological choices.
    Keywords: Empresas; Innovación; Desempeño; Tamaño de la Empresa; Análisis de Regresión;
    Date: 2021–11
  3. By: Svetlana Klessova (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (... - 2019) - COMUE UCA - COMUE Université Côte d'Azur (2015-2019) - CNRS - Centre National de la Recherche Scientifique - UCA - Université Côte d'Azur); Sebastian Engell (TU - Technische Universität Dortmund [Dortmund]); Catherine Thomas (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (... - 2019) - COMUE UCA - COMUE Université Côte d'Azur (2015-2019) - CNRS - Centre National de la Recherche Scientifique - UCA - Université Côte d'Azur)
    Abstract: The assessment of the advancement of technological innovations at their development stage is a difficult task, but important to judge on the performance of innovation projects. Assessments have so far been made by assessing technical characteristics, subjectively, or by counting patents. This paper proposes an approach to assess the advancement of market-upstream innovations directly and objectively, through the advancement of their technological maturity. On this basis, also the innovation performance of larger projects that were put in place to progress one or several innovations, can be assessed. The paper presents an exploratory qualitative multi-case study of 54 innovative technologies at different maturity levels, that were developed in 5 market-upstream large technological research and innovation projects with mostly engineering and IT dimensions, funded by the European Union's Research and Innovation Programmes under its sub-programme "Leadership in Enabling and Industrial Technologies". From extensive documentation and data from interviews, a refined technology readiness scale and a scoring method that reflects the increase in the required efforts to advance the maturity of the innovations is developed. The findings provide groundwork for future research on market-upstream innovation and how the innovation performance of projects can be measured at the early stages of the innovation process.
    Keywords: Innovation,Innovative technologies,Market-upstream,Maturation,R&D,Technology readiness levels,Project,Innovation performance
    Date: 2022
  4. By: MARQUES SANTOS Anabela (European Commission - JRC); RESCHENHOFER Peter; BACHTRÖGLER-UNGER Julia; CONTE Andrea (European Commission - JRC); MEYER Niels (European Commission - JRC)
    Abstract: Industry contributed for about 20% of the greenhouse gas emissions in 2019 in the EU. Cement, chemicals and steel industries are among the most energy-intensive industries. Around €26,522 Million of the European Regional Development Fund (ERDF) was used to support projects related to low-carbon industrial technologies (15% of the total ERDF in the period 2014-2020). 16% of the ERDF low-carbon project is associated with Research & Innovation (R&I) funding (€4,255 Million). 13% of R&D project in low-carbon are transnational and interregional cooperation projects (€549 Million) under the Interreg programme. Higher share of low-carbon projects over total ERDF is observed in central and eastern Europe. ERDF projects in the chemicals industry (€407 Million) registered a substantially higher amount than those in cement (€101 Million) or steel (€89 Million) industries.
    Keywords: Low-carbon technologies, R&D, Innovation, ERDF, EU
    Date: 2022–04
  5. By: Edquist, Charles (CIRCLE, Lund University); Laatsit, Mart (CIRCLE, Lund University)
    Abstract: ‘The system of innovation approach’ has been around in innovation research for more than three decades. In this paper, we ask whether the time has come to try to develop a general theory of innovation. There is now a considerable literature addressing what happens in the innovation systems (and not only which elements and components they include). This literature places the focus on the causes of innovations in terms of functions and activities in the systems. Analysing this literature, including the several lists of activities and functions, is the focus in this paper. We aim to find out whether these lists are useful for developing a general theory of innovation. We argue that we, as a ‘collective research community’, have already tried to do this, and that we have made some progress. We will indicate how this work can continue to develop the systems of innovation ‘approach’ into a ‘theory’.
    Keywords: Innovation; System of innovation; Innovation policy; Holistic innovation policy; Linear view; Research Policy
    JEL: O30 O38 O49 O52
    Date: 2022–05–16
  6. By: Shu, Guo; ZhongXiang, Zhang
    Abstract: The green credit policy plays a vital role in promoting enterprise upgrading. Using a thirteen year panel data of listed companies in China (2007 2019), this study uses the difference in differences (DID) method to examine the effects of the Green Credit Guidelines in 2012 (GCG2012) on the firm level total factor productivity (TFP). Our results show that the GCG2012 significantly increases the TFP of companies in green credit restricted industries. This finding remains robust through employing the PSM-DID model, alternating the treatment group, changing the sample period, and controlling the effects of other environmental policies and financial crises. This effect is more pronounced for private enterprises, companies with worse debt paying ability, companies in highly competitive industries and companies in regions with higher financial liberalization. The impact mechanism test indicates that increasing the green innovation and reducing the agency costs (including green agency costs and traditional agency costs) are two possible channels to boost firm level TFP. Further analysis shows that the GCG2012 is effective not only for heavily polluting industries but also for light polluting industries, and that the GCG2012 can improve the economic performance of firms in green credit restricted industries. Overall, this study reveals the micro mechanisms behind the long term impact of the GCG2012 policy on firm level TFP, providing empirical evidence and policy suggestions for improving green credit policies and promoting green development.
    Keywords: Environmental Economics and Policy, Production Economics, Productivity Analysis
    Date: 2022–05–31
  7. By: Mai, Nhat Chi
    Abstract: Technological innovation is an extended concept of innovation. While innovation is a rather well-defined concept, it has a broad meaning to many people, and especially numerous understanding in the academic and business world.
    Date: 2022–04–09
  8. By: Carole Charbonnel (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)
    Abstract: Since the seminal papers of Prahalad and Ramaswamy, and Vargo and Lusch (2004), value cocreation has engendered a wide stream of literature, especially theoretical papers. Although value co-creation is presented as a radical departure for marketing practice, we have had limited knowledge about value co-creation in managers' domain so far, especially for those operating on B to C markets. Notably, we have little insight into the factors fostering the emergence of value co-creation within firms. Furthermore, we ignore whether value co-creation has a positive effect on firms' performance. Based on two surveys of French managers involved in B to C marketing (123 junior managers and 120 senior managers), our research conceptualizes value co-creation as a unique marketing practice, encompassing value-in-use and co-production components. After analysis through PLS-SEM, our results unveil the role of firm-level antecedents related to organizational culture - adhocracy and proactive market orientation. In addition, our analysis identifies a significant positive effect of value co-creation practice on firms' performance. Thus, our research encourages managers to engage into value co-creation in case this practice lines up with their organization's culture
    Keywords: Marketing practices,Service-Dominant-Logic,Value co-creation,Strategic marketing
    Date: 2022–05–25
  9. By: Yang Li; Frank Neffke
    Abstract: A large body of research has documented that the size and growth of an industry in a city or region depends on the local size of related industries. However, there is no consensus on how to best measure, either the relatedness between industries, or how well a particular industry fits a local economy as a whole. In this paper, we perform a structured search over tens of thousands of specifications to identify optimal – in terms of out-of-sample predictions – ways to construct these quantities, using a dataset that allows us to derive relatedness from co-occurrence patterns of industries in establishments, firms, regions and countries. We find that these di
    Date: 2022–04
  10. By: Ryan A. Decker; John Haltiwanger
    Abstract: The economic effects of the COVID-19 pandemic brought new focus to questions about business entry and survival. The spring of 2020 was characterized by widespread fear of surging business exit (death).
    Date: 2022–05–06
  11. By: Mathias Béjean (IRG - Institut de Recherche en Gestion - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel); Anaïs Garin (IRG - Institut de Recherche en Gestion - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel)
    Abstract: Introduced by Moore (1993) as a way to depict a business environment in which actors both collaborate and compete to create value that individual organisations could not produce otherwise, the ecosystem concept has since then gained importance in the strategic management literature. Recently, scholars have turned their attention towards orchestrating activities, which are necessary for artificial ecosystems to develop and evolve over time (Autio, 2021; Chen et al., 2019; Yaghmaie & Vanhaverbeke, 2019). Some of these activities, performed by actors called "orchestrators", were identified by scholars (Äyväri & Spilling, 2020; Lingens et al., 2021; Roijakkers et al., 2013). However, the capabilities necessary for orchestrators to carried out their activities remain understudied. Previous research has shown the relevance of dynamic capabilities in the context of ecosystems to stimulate value creation and ecosystem renewal (Heaton et al., 2019; Helfat & Raubitschek, 2018; Linde et al., 2021). Following this stream of research, this paper draws on the dynamic capability framework to better understand ecosystem orchestration activities and determine how the study of heterogeneous ecosystems enrich the literature on dynamic capabilities in ecosystems. A single-case study of Cowork'HIT, one of the central actors in the Handicap Innovation Territoire (HIT) innovation ecosystems in Bretagne, France, helped us understand ecosystem orchestrating activities and the associated capabilities. This research contributes to the nascent literature on dynamic capabilities in ecosystems and can help policymakers to foster the emergence of orchestrators and regulate ecosystems over time.
    Date: 2022–05–05

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