|
on Economics of Strategic Management |
Issue of 2023‒04‒10
seven papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
By: | Zhi-Guang Li (School of Management, Hefei University of Technology, Hefei, China); Yanrui Wu (Business School, The University of Western Australia); Yao-Kuang Li (School of Management, Hefei University of Technology, Hefei, China) |
Abstract: | Technology entrepreneurship and corporate innovation are important for the development of indigenous innovation. In the digital age, founders are subject to fundamental changes in their strategy choices, which in turn affect corporate innovation performance. This paper aims to explore the strategic choices adopted by technical founders of listed companies in China’s STAR market to reap the rewards of innovation in a digital context. Based on the annual reports of 124 listed companies in China’s STAR Market, this paper applies machine learning methods to quantify digital transformation of enterprises, and empirically analyzes the relationship between technical founders and innovation performance by constructing a moderated mediating model. Our results show that companies with technical founders are more likely to adopt digital transformation and thus show better innovation performance. In terms of heterogeneity, the empirical results demonstrate that firms with technical founders show better performance in digital transformation, followed in turn by those with business founders and academic founders. Both the positive relationship between enterprise digital transformation and innovation performance and the mediating effect of digital transformation are positively moderated by venture capital or private equity support. The findings reveal the microscopic mechanism of the role of technology-based founders on corporate innovation performance and hence have practical implications for promoting corporate digital transformation and enhancing firm technological innovation. |
Keywords: | Technical founder; Technological Innovation; Technology entrepreneurship; Digital transformation; Innovation performance; STAR Market |
Date: | 2023 |
URL: | http://d.repec.org/n?u=RePEc:uwa:wpaper:23-03&r=cse |
By: | Sea Matilda Bez (UM - Université de Montpellier, Labex Entreprendre - UM - Université de Montpellier, MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School); Frédéric Le Roy |
Abstract: | While the open innovation literature has always acknowledged the competitor as a source of innovative knowledge — i.e. to increase the breadth of open innovation practices — competitors have been relatively neglected relative to other sources such as universities, suppliers, customers, and employees. Growing research in open innovation includes more and more of this counter-intuitive partner and acknowledges that the drivers and management of the open innovation practice with competitors are specific relative to the one with a non-competitive partner. In parallel and independently from the open innovation literature, the research on coopetition and coopetitive innovation has grown and explored when, why, and how a competitor is a relevant partner for innovation. These frameworks develop by the coopetition literature brought into the open innovation research generate new insights and a whole research agenda. The main one is: coopetitive open innovation defined as open innovation with competitors embracing a "coopetitive mindset" and specific managerial principles (i.e. cooperation and competition should be simultaneously pursued and the competition dimension should not be reduced). |
Keywords: | open innovation, coopetition, competitors, co-creation, coopetition mindset |
Date: | 2023–11–08 |
URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03920452&r=cse |
By: | Andrés Mauricio Gomez-Sanchez (Universidad del Cauca, Colombia.); Juan A. Máñez Castillejo (Universidad de Valencia and ERICES, Valencia, España.); Juan Alberto Sanchis-Llopis (Universidad de Valencia and ERICES, Valencia, España.) |
Abstract: | The objective of this document is to explore the effect of ICT on the performance of Colombian manufacturing SMEs in export markets. To our knowledge, this is the first piece of evidence that explores this issue for an emerging economy. In doing so, we include some cutting-edge novelties such as persistence in export intensity; cross effect from imports to exports, and the role of initial conditions problem. We replicate the Tobit II-Heckman model procedure by using a dynamic Generalized Linear Model (GLM) because the export intensity is a proportion and include the inverse Mills ratio to deal with the selection problem. We merge three databases namely The Annual Manufacturing Survey (EAM); the Innovation and Technological Development Survey (EDIT) and the Annual ICT Manufacturing Survey (EAM-TIC); published by the National Administrative Department of Statistics (DANE) in six waves since 2013 to 2018. In general, our main results suggest that the impacts of information technologies on export intensity are always positive, regardless of the ICT analysed. Other results show persistence in exports, cross effects and self-selection in export markets, among others. |
Keywords: | ICT, Exports, Sunk costs, Cross effects, Empirical Studies of Trade, Emerging economies, Empirical Analysis |
JEL: | L16 L96 F14 O33 C23 D22 D24 |
Date: | 2023–04 |
URL: | http://d.repec.org/n?u=RePEc:eec:wpaper:2304&r=cse |
By: | Horbach, Jens |
Abstract: | The paper analyses the relationship between digitalisation and sustainability strategies at the firm level. In a first step, operational definitions of digitalisation and sustainability allowing the development of fitting empirical indicators are discussed. The possible technical and social transmission channels of the effects of digitalisation on a sustainable firm development are analysed. From a technical side of view, less energy consumption induced by intelligent sensoring systems or the reduction of meetings in presence by video conferences or the promotion of home office work leading to less travel activities might lead to a more sustainable production. Digitalisation might also act as pre-condition of eco-process innovations (e. g. the introduction of intelligent control systems leading to material and energy savings). From a societal perspective, digitalisation might lead to a higher availability of information on sustainability issues promoting a faster spread of environmentally related social norms. The empirical analysis is based on firm data of the recent Eurobarometer 486/2020 of the European Commission. The econometric results show that 'digitally active' firms seem to be more sustainable for all available indicators. All considered digitalisation measures such as artificial intelligence, machine learning, or the use of smart devices and intelligent sensors are positively correlated to eco-innovation and other sustainability-related activities of the questioned firms. |
Keywords: | Digitalisation, sustainability, eco-innovation, probit analysis, negative binomial regression |
JEL: | C35 O31 Q01 Q55 |
Date: | 2023 |
URL: | http://d.repec.org/n?u=RePEc:zbw:rwirep:1001&r=cse |
By: | MOTOHASHI Kazuyuki |
Abstract: | As the use of AI and big data advances in the manufacturing industry, we are seeing changes in manufacturing, including the shift to digital services. In this paper, we used platform theory to examine the current state of digital innovation in the manufacturing industry and competitive strategies with other industries, including Internet platformers like GAFA. The IoT applications of existing companies such as Komatsu and GE are not in a position to directly compete with B2C Internet platformers, but the network effect of the platform economy will use the power to rapidly transform the industrial structure. As a manufacturing company, it is essential to promote the development of digital services that utilize customer data. In addition, the importance of strategies that focus on building an ecosystem that includes companies in other industries is increasing, and the ability to predict the future through scenario analysis and the ability to respond flexibly to changes in circumstances is required. |
Date: | 2023–03 |
URL: | http://d.repec.org/n?u=RePEc:eti:rpdpjp:23003&r=cse |
By: | Flavio Calvino; Luca Fontanelli |
Abstract: | This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large – and to some extent across young – firms. AI users tend to be more productive, especially the largest ones. Complementary assets, including ICT skills, high-speed digital infrastructure, and the use of other digital technologies, which are significantly related to the use of AI, appear to play a critical role in the productivity advantages of AI users. |
Keywords: | AI, artificial intelligence, productivity, technology adoption |
Date: | 2023–04–11 |
URL: | http://d.repec.org/n?u=RePEc:oec:stiaaa:2023/02-en&r=cse |
By: | Ralf Martin |
Abstract: | Public investment in developing energy sources that don't cause climate change is a strategy for economic growth that could also contribute to the UK's levelling up agenda, says Ralf Martin. His analysis indicates that subsidies for research and development in 'clean' technologies can bring returns more than 40% higher than average. |
Keywords: | innovation, knowledge spillovers, clean technology, innovation policy, patent data, Green Growth |
Date: | 2022–10–20 |
URL: | http://d.repec.org/n?u=RePEc:cep:cepcnp:636&r=cse |