|
on Economics of Strategic Management |
|
Issue of 2022‒02‒14
five papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Leonardo Costa Ribeiro (Cedeplar/UFMG); Jorge Nogueira de Paiva Britto (Universidade Federal Fluminense); Eduardo da Motta e Albuquerque (Cedeplar/UFMG) |
| Abstract: | The unit of analysis of this paper is an international knowledge link (IKL), a knowledge flow that leaves a trace and connects two nodes – different institutions, firms and universities, in different countries. We present and analyze 17,240,834 international knowledge links (data from 2017). These international knowledge links form three basic networks. These three international layers overlap and interweave, forming a network of networks. The contribution of this paper is the identification and preliminary analysis of this overlapping and intertwinement. These networks are robust and their properties suggest a hierarchical structure of a multilayer network that is asymmetric. These networks are interpreted as new layers of innovation systems, with implications for the dynamic of innovation – a reorganization of different levels of innovation systems, now a more complicated structure with interaction between local, sectoral and national levels, as well as these overlapping international networks. |
| Keywords: | International Knowledge flows; Innovation Systems; Networks of networks |
| JEL: | O32 O34 O39 |
| Date: | 2022–01 |
| URL: | http://d.repec.org/n?u=RePEc:cdp:texdis:td640&r= |
| By: | Priit Vahter; Maaja Vadi |
| Abstract: | This paper explores the dynamic nature of complementarities between technological and organizational innovation at firms. Using Spanish firm level panel data (PITEC) over period 2008-2016, it investigates how the formation, keeping and ending of the joint adoption of these two core types of innovation is associated with firm performance. In the case of the general static test of complementarities we find no evidence of complementarities. However, once we focus on the analysis of within-firm changes in the complementarity bundle of innovation types, we observe clear evidence that some sequential as well as simultaneous strategy switches towards combining technological and organizational novelties are associated with significant performance premia at firms. Our findings point out the key role of technological innovation in these complementarities. We find evidence of sequential complementarity only when organizational innovation is added to the already existing technological innovation at the firm, not when organizational innovation is added as first component before technological innovation. In the case of dissolving the complementarity bundle of innovation types, the key disadvantage for the firm is related to dropping the technological innovation. Giving up only organizational innovation while keeping the technological innovation appears to have no negative effect, on average, on firm performance. |
| Keywords: | technological innovation, organizational innovation, complementarities, sequential complementarity |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:mtk:febawb:138&r= |
| By: | Santarelli, Enrico (Department of Economics, University of Bologna, and Department of Economics and Management, University of Luxembourg); Staccioli, Jacopo (Department of Economic Policy, Catholic University of the Sacred Heart, and Institute of Economics, Sant’Anna School of Advanced Studies); Vivarelli, Marco (UNU-MERIT, Maastricht University, and Department of Economic Policy, Catholic University of the Sacred Heart, and Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA)) |
| 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 |
| JEL: | O25 O31 O33 O34 |
| Date: | 2022–01–17 |
| URL: | http://d.repec.org/n?u=RePEc:unm:unumer:2022003&r= |
| By: | E. Raguseo (DIGEP - Department of Management and Production Engineering [Politecnico di Torino] - Polito - Politecnico di Torino = Polytechnic of Turin); Pigni, F. (Grenoble Ecole de Management); Claudio Vitari (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon, AMU ECO - Aix-Marseille Université - Faculté d'économie et de gestion - AMU - Aix Marseille Université) |
| Abstract: | Firms can achieve a competitive advantage by leveraging real-time Digital Data Streams (DDSs). The ability to profit from DDSs is emerging as a critical competency for firms and a novel area for Information Technology (IT) investments. We examine the relationship between DDS readiness and competitive advantage by studying the mediation effect of product effectiveness and process efficiency. The research model is tested with data obtained from 302 companies, and the results confirm the existence of the mediation effects. Interestingly, we confirm that competitive advantage is more significantly impacted by IT investments affecting product effectiveness than those affecting process efficiency |
| Keywords: | Streams of big data,process efficiency,product effectiveness,competitive advantage |
| Date: | 2021 |
| URL: | http://d.repec.org/n?u=RePEc:hal:gemptp:hal-03323663&r= |
| By: | Christian Voegtlin (Audencia Business School); Andreas Scherer; Günter Stahl; Olga Hawn |
| Abstract: | Grand societal challenges (GSCs) represent complex, multi-level, multi-dimensional problems that require concerted efforts by various actors-public, private, and non-profit-to be successfully addressed. Businesses-alone or in conjunction with governmental and nonprofit organizations-are relevant actors in this regard, as they represent a source of innovation. Responsible innovation (RI) is a framework that allows for the governance and evaluation of innovations with regard to their potential harmful consequences and positive contributions to societal challenges. Moreover, it stipulates that this evaluation process should be facilitated by appropriate governance structures at various levels. The aim of this article is to expand theorizing on GSCs and RI and to encourage research that explores their links. We outline pertinent characteristics of GSCs that make current conceptualizations of corporate social responsibility and social innovation limited in addressing GSCs. We explicate the reflexive and participative capacities of RI governance as a complementary and promising way forward. Finally, we introduce the contributions to this Special Issue as illustrations of relevant theoretical and empirical groundwork around GSCs and RI, and outline the agenda for future research. |
| Keywords: | COVID-19,sustainable development,deliberation,global and corporate governance,responsible innovation,Grand societal challenges |
| Date: | 2022–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03466563&r= |