|
on Economics of Strategic Management |
Issue of 2024‒11‒11
seven papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
By: | Yury Pukha (ESCP BUSINESS SCHOOL & INTELLIGENT EDGE CONSULTING, USA) |
Abstract: | The research investigates investment policy as a unique resource and business model innovation as a dynamic capability, considering these two elements as key factors contributing to resilience in the aftermath of an economic shock. We conduct a comprehensive statistical analysis using panel regression and DiD methods and spanning global telecommunications operators from 2012 to 2022, supplemented by case studies of operators in three countries. Authors propose theoretical framework of resilience capabilities for capital intensive sector that extends Resource Based View and Dynamic Capability theories. Findings confirm that firms that prioritize leading investments in core infrastructure outperform competitors. For capital heavy firms? innovation in business model proves to be a powerful factor of resilience but secondary to investment as unique resource. The market advantage of firms that built both capabilities extends during crises, however, making quick adjustments during crisis in investment or business model innovation strategy does not lead to significant gains in market position. |
Keywords: | Digital Resilience (DR), Investment strategy, Dynamic Capability (DC), Business Model Innovation (BMI), Crisis Management |
Date: | 2024–10 |
URL: | https://d.repec.org/n?u=RePEc:sek:iefpro:14516468 |
By: | Nwaobi, Godwin |
Abstract: | As the most populous nation in Africa, Nigeria is uniquely positioned to reap the benefits of the emerging digital economy. And by accelerating access to digital technologies spurs innovation, efficiency and productivity which brings about choice and opportunities for greater growth and inclusion. Therefore, this research project shall provide evidence with respect to some aspects of inter-firm and intra-firm diffusion digital technologies in Nigeria. In other words, the proposed study intends to provide new empirical evidence with respect to the factors determining inter-firm and intra-firm diffusion of digital technologies by Nigeria productive enterprises. Furthermore, this research paper shall ascertain the extent to which patterns of digital adoption are different for domestic and foreign-owned firms. Econometrically, we propose to use a novel firm level (micro) panel data from the Nigerian manufacturing firms for the period between 2020 and 2025 as applicable. |
Keywords: | Firms, diffusion, intrafirm, interfirm, Nigeria, panel data, probit model, digital technology, adoption, technology, enterprise, artificial intelligence, productivity, micro panel, innovations, digitalization |
JEL: | C50 C55 C8 D20 D22 L0 L50 L60 L86 L96 O1 O14 O3 O31 O32 O33 O38 |
Date: | 2024–10–14 |
URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:122392 |
By: | Sharma, Neha (Innowage Limited); Sharma, Durga Prasad; Ranka, Parul; Shinde, Sandeep; Patel, Manisha |
Abstract: | In today's rapidly evolving knowledge economy, the symbiotic relationship between academia and industry is pivotal for fostering innovation, driving economic growth, and addressing complex global challenges. This paper delves into the strategic collaboration framework of MJRP University's Global Research and Industry Partnership (GRIP), an initiative designed to bridge the gap between academic research and industrial application. Through an extensive need assessment, the paper identifies critical areas where academia and industry intersect, evaluates the benefits and challenges of such collaborations, and proposes a comprehensive plan to enhance synergy between these sectors. The GRIP framework emphasizes multi-disciplinary research, technological advancement, and real-world problem-solving, leveraging MJRP University's robust academic expertise and industry connections. This initiative aims to create a sustainable ecosystem that not only accelerates innovation but also prepares students and researchers for the demands of a dynamic workforce. The findings highlight the importance of strategic alignment, resource optimization, and continuous stakeholder engagement in maximizing the impact of academic-industry partnerships. The paper concludes with recommendations for policymakers, educational institutions, and industry leaders to foster a collaborative culture that supports mutual growth and societal advancement. |
Date: | 2024–10–08 |
URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:yhr3s |
By: | Langinier, Corinne (University of Alberta, Department of Economics); Martinez-Zarzoso, Inmaculada (University of Goettingen); Ray Chaudhuri, Amrita (University of Winnipeg) |
Abstract: | Our theoretical model predicts that green innovation is an inverted U-shaped function of emission tax under free trade, while it is upward sloping under autarky. Our empirical analysis supports this finding by using the Environmental Policy Stringency Index (EPS) as a proxy for environmental regulations. Our theory also determines the conditions under which international technology transfers increase green innovation. The empirical results indicate that technology transfers increase green innovation at any given level of EPS, although the inverted U-shape persists. We observe that OECD and non-OECD countries lie on either side of the turning point. Implementing stricter environmental regulations in non-OECD countries increases green innovation, while the reverse is likely to hold for most OECD countries. Our findings also show that market-based regulations are more effective in non-OECD countries for fostering green innovation, while non-market-based regulations are more effective in OECD countries. |
Keywords: | Green Innovation; Environmental Policy; International Trade; Technology Transfer |
JEL: | O34 Q55 Q56 Q58 |
Date: | 2024–10–10 |
URL: | https://d.repec.org/n?u=RePEc:ris:albaec:2024_008 |
By: | CONFRARIA Hugo (European Commission - JRC); GRASSANO Nicola; MONCADA PATERNO' CASTELLO Pietro (European Commission - JRC); NINDL Elisabeth (European Commission - JRC) |
Abstract: | Understanding the flow of knowledge between scientific research and policymaking is increasingly important. This study examines the influence of the EU Industrial R&D Investment Scoreboard, which has been active at the science-policy interface since 2004. We analyse citation trends in scientific publications and policy documents to assess the Scoreboard’s usage, impact, and reach. Our findings indicate that the Scoreboard is cited more frequently in policy documents, though academic interest is growing. Policy documents cite the Scoreboard more quickly, reflecting its immediate relevance for policy actors, while scientific publications take longer to cite it and utilise its data. Papers citing the Scoreboard tend to have a higher citation impact than average, underscoring its significance in a broad set of research fields. In our citation content analysis, we find that "insight" citations are more common than "data" citations. However, papers combining patent data and Scoreboard tend to receive more citations, highlighting the value of integrating R&D data with other relevant variables to better understand the innovation process. Additionally, we show that the Scoreboard has influenced EU policy discourse to address the need for structural changes towards high R&D intensity sectors, and showing EU’s strengths in green innovation. |
Date: | 2024–10 |
URL: | https://d.repec.org/n?u=RePEc:ipt:wpaper:202403 |
By: | Colin Davis; Ken-ichi Hashimoto |
Abstract: | This paper constructs a two-country model to investigate how tariff policy in- fluences productivity growth through adjustments in industry location patterns. The locations of production and innovation are determined based on trade barriers and imperfect knowledge dissemination. Tariff policy has the effect of attracting firms, reshaping the location of industry, and the productivity of investment in innovation. We show that the relationship between tariff policy and economic growth depends on the industrial share of the country where the policy is implemented. In addition, examining the welfare effects of tariffs, we find that policy trade-offs may generate positive optimal tariff rates. |
Date: | 2024–09 |
URL: | https://d.repec.org/n?u=RePEc:dpr:wpaper:1259 |
By: | Bao We Wal Bambe (LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne); Jean-Louis Combes (LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne); Kabinet Kaba (CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne); Alexandru Minea (UCA - Université Clermont Auvergne, LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne, Carleton University) |
Abstract: | We examine the impact of inflation targeting on manufacturing firm performance in developing countries. Using a panel of 31, 027 firms in 47 countries from 2006 to 2020 and applying the entropy balancing method to mitigate selection issues, we find that inflation targeting significantly increases firm growth and productivity. The findings are economically significant and robust to various checks. Moreover, we provide evidence that our results are not biased towards unobservables nor are they confounded with the effects induced by other reforms, such as IMF programs. We further show that economic and institutional factors such as the quality of judicial processes, fiscal discipline, central bank deviations from the target, and the time length since the policy adoption also influence the link between the monetary regime and firm performance. Last, we explore the main transmission channels and identify macroeconomic stability as the key driver of the regime's effectiveness. |
Keywords: | Inflation targeting, Manufacturing firm performance, Developing countries, Entropy balancing |
Date: | 2024–06 |
URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04734823 |