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on Economics of Strategic Management |
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Issue of 2022‒02‒28
five papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Laureti, Lucio; Costantiello, Alberto; Matarrese, Marco Maria; Leogrande, Angelo |
| Abstract: | The determinants of enterprises providing ICT training in Europe are analyzed in this article. Data are collected from the European Innovation Scoreboard-EIS of the European Commission for 36 European countries in the period 2000-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, Dynamic Panel, WLS and Pooled OLS. Results show that the number of enterprises providing ICT training in Europe is positively associate with “Innovation Index”, “Innovators”, “New Doctorate Graduates”, “Tertiary Education” and negatively associated with “Government Procurement of Advanced Technology Products”, “Human Resources”, and “Marketing or Organisational Innovators”. In adjunct a cluster analysis is performed by using k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of four clusters. Finally, we use eight different machine learning algorithms to predict the value of the enterprises providing ICT training in Europe. We found that the Simple Tree Regression is the best predictor and that the number of enterprises providing ICT training in Europe is expected to growth of the 5,02%. |
| Keywords: | Innovation and Invention: Processes and Incentives; Management of Technological Innovation; Technological Change: Choices and Consequences; Intellectual Property and Intellectual Capital. |
| JEL: | O30 O31 O32 O33 O34 |
| Date: | 2022–01–29 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:111756&r= |
| By: | Santarelli, Enrico (University of Bologna); Staccioli, Jacopo (Università Cattolica del Sacro Cuore); Vivarelli, Marco (Università Cattolica del Sacro Cuore) |
| Abstract: | Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a whole and distinguishing core and related innovations, along a 4-level core-periphery architecture. Merging patent applications with the Orbis IP firm-level database allows us to put forward a twofold analysis based on industry of activity and geographic location. In a nutshell, results show that: (i) rather than representing a technological revolution, the new knowledge base is strictly linked to the previous technological paradigm; (ii) the new knowledge base is characterised by a considerable – but not impressively widespread – degree of pervasiveness; (iii) robotics and AI are strictly related, converging (particularly among the related technologies and in more recent times) and jointly shaping a new knowledge base that should be considered as a whole, rather than consisting of two separate GPTs; (iv) the US technological leadership turns out to be confirmed (although declining in relative terms in favour of Asian countries such as South Korea, China and, more recently, India). |
| Keywords: | robotics, artificial intelligence, general purpose technology, technological paradigm, industry 4.0, patents full-text |
| JEL: | O33 |
| Date: | 2022–01 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp15015&r= |
| By: | Julian D. Cortes |
| Abstract: | Governments and organizations recognize the need to revisit a mission-driven innovation amidst national and organizational innovation policy formulations. Notwithstanding a fertile research agenda on mission statements (hereafter mission(s)), several lines of inquiry remain open, such as crossnational and multisectorial studies and an examination of research knowledge intensive institutions. In this article, we identify similarities and differences in the content of missions from government, private, higher education, and health research knowledge intensive institutions in a sample of over 1,900 institutions from 89 countries through the deployment of sentiment analysis, readability, and lexical diversity; semantic networks; and a similarity computation between document corpus. We found that missions of research knowledge intensive institutions are challenging to read texts with lower lexical diversity that favors positive rather than negative words. In stark contrast to this, the non-profit sector is consonant in multiple dimensions in its use of Corporate Social Responsibility jargon. The lexical appearance of research in the missions varies according to mission sectorial context, and each sector has a cluster specific focus. Utilizing the mission as a strategic planning tool in higher income regions might serve to explain corpora similarities shared by sectors and continents. |
| Date: | 2022–01 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2201.07170&r= |
| By: | Melissa Liborio Zapata (SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc, LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Lamia Berrah (LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Laurent Tabourot (SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc) |
| Abstract: | Companies around the world are finding themselves in a race against the relentless evolution of digital technologies that are accelerating innovation and creating a highly competitive environment. Many works in research and practice are trying to guide companies to a Digital Transformation (DT) that allows them to take full advantage of new technologies. However, generic solutions, that are mainly focused on technological aspects, make it clear that there is a lack of understanding of the whole scope of their implications. In this sense, this work takes a step back to analyze the origin of the shortcomings of current solution approaches. The results point out a lack of theoretical foundation on identifying the business dimensions implicated in a DT that define its scope. In this sense, this study contributes with a more comprehensive view of the DT process by using a formal approach to define the business dimensions involved in such a change based on the principles of the Socio-Technical Systems (STS) theory. As a result, this proposal goes beyond the purely technological views to (1) identify five business dimensions involved in the DT process: technology, processes, structure, competencies and culture and (2) recognize the key role of strategy and performance measurement, not as dimensions but as external elements that drive and control the DT process. A multiple case study of the DT process of three French manufacturers is presented to validate the proposition. General remarks and future research concerning the implementation of these dimensions conclude this study. CCS CONCEPTS • Applied computing~Enterprise computing~Business-IT alignment • Social and professional topics~Professional topics~Computing and business~Socio-technical systems • Applied computing~Operations research~Industry and manufacturing |
| Keywords: | Digital Transformation (DT),Business Dimensions,Socio-Technical Systems (STS),Case Study Research |
| Date: | 2022–01–12 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03544876&r= |
| By: | Joel Rabinovich (City University London) |
| Abstract: | This article presents new insights on the evolving contribution of different types of investments to the growth in sales of US nonfinancial listed firms during the 1979-2018 period. By means of quantile regressions it is observed an increasing contribution over time of intangible investment vis-à-vis a decline in capital expenditure both for high-growth and slow-growth firms. However, the impact of different types of intangible investment differs depending on the kind of firm. Whereas research and development (R&D) has a positive contribution for high-growth firms, only advertising has a positive effect for their slow-growth peers. |
| Keywords: | Firm growth,Fast-growth firms,Quantile Regression,Intangibles |
| Date: | 2022–01–21 |
| URL: | http://d.repec.org/n?u=RePEc:hal:wpaper:hal-03539656&r= |