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on Economics of Strategic Management |
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Issue of 2025–12–15
five papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Sun, Falin; Hou, Peibin; Qiu, Huanguang; Kong, Xiangwen |
| Keywords: | Agribusiness, Environmental Economics and Policy, Industrial Organization |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea24:343678 |
| By: | Thi Kim Cuong Pham (CNRS, EconomiX, Université Paris Nanterre, 92001 Nanterre); Ngoc-Sang Pham (EM Normandie - École de Management de Normandie = EM Normandie Business School, CNRS, EconomiX, Université Paris Nanterre, 92001 Nanterre); Cuong Le Van (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris, TIMAS, Thang Long University); Tin Nguyen-Trong (CNRS, EconomiX, Université Paris Nanterre, 92001 Nanterre) |
| Abstract: | We develop a dynamic endogenous-growth model with an R&D sector in which the elasticity of innovation with respect to existing knowledge can be negative. We prove the existence and uniqueness of a balanced growth path (BGP) and derive closed-form growth factors, showing that productivity and output growth are semi-endogenous and population-driven. We also establish the global stability under general production function. Under testable parameter restrictions, the economy converges to the BGP. When the knowledge elasticity is sufficiently low, a Jacobian-based condition implies instability, and an N-period innovation cycle can emerge. Comparative statics are conducted to show the role of several factors, including research efficiency, elasticity of inputs and population growth. Calibrated simulations map out transitions and mark the points at which stability is lost. They make clear when innovation frictions endanger balanced growth and provide practical guidance for R&D and demographic policy. |
| Keywords: | endogenous growth, population-driven growth, balanced growth path, stability, instability, innovation, monotone dynamical system |
| Date: | 2025–11–29 |
| URL: | https://d.repec.org/n?u=RePEc:hal:cesptp:halshs-05388671 |
| By: | Shaima Farhana; Dong Yua; Amirhossein Karamoozianc; Ali Al-shawafid; Amar N. Alsheavif |
| Abstract: | Using an integrated framework rooted in the TOE model enhanced with AI, this study looks at ways to improve industrial performance and environmental sustainability in fragile and rapidly transforming contexts such as those found in Yemen and Saudi Arabia. Data for the research are field-based and were obtained from a total of 600 SMEs operating in both countries. Based on the questionnaires' responses by 294 managers, results from the partial least squares structural equation modeling (PLS-SEM) have indicated significant positive effects of AI-TOE on environmental performance (beta = 0.487) and manufacturing performance (beta = 0.759). Results indicate that AI acts as a transformative force, though its impact differs based on the maturity of infrastructure and organizational readiness. The Saudi SMEs gain from their institutional support and advanced technologies, while those in Yemen are dependent on the low-cost adoption of AI and organizational flexibility to accept structural challenges. PLS-SEM analysis of the study showed that integrating AI into the TOE dimensions accelerates operational efficiency in order to support environmental performance. Industrial performance was found to be a very important mediator in this relationship. This study responds to the call for digital transformation literature by providing an actionable framework of AI adoption in resource-constrained environments. These findings offer insights that might guide policymakers and organizations toward more resilient and sustainable operational strategies. These findings provide valuable guidance for engineering managers within the context of negotiating digital transformation and sustainability trade-offs in fragile and resource-constrained contexts. |
| Date: | 2025–12 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2512.10333 |
| By: | Ibadoghlu, Gubad |
| Abstract: | The Information and Communication Technologies (ICT) sector holds strategic importance for Azerbaijan's ambitions to diversify beyond hydrocarbons and modernize its national economy. Yet, despite extensive public investment and infrastructure development, the sector's contribution to GDP, employment, and exports remains limited. Drawing on official statistics and policy documents for 2020-2025, this study examines the performance, structure, and constraints of Azerbaijan's ICT and digital economy. In 2024, ICT accounted for only 1.8 percent of GDP, 0.036 percent of total exports, and 1.4 percent of national employment. Research and development (R&D) expenditure remained below 0.3 percent of GDP, while Azerbaijan ranked 94th in the 2025 Global Innovation Index-well behind regional peers. The paper attributes the sector's underperformance to low innovation intensity, weak private-sector participation, and overreliance on state-led infrastructure projects such as Azercosmos, which, while symbolically important, have not produced broad technological spillovers. At the same time, Azerbaijan has made measurable progress in digital finance, with non-cash payments rising from 30 percent in 2021 to 64.2 percent in 2024. These advances, however, have not translated into a robust, innovation-driven ICT ecosystem. The findings suggest that Azerbaijan's digital transformation remains infrastructure-heavy but innovation-light, requiring a shift toward policies that promote R&D investment, entrepreneurial capacity, and integration into global digital value chains. |
| Keywords: | Azerbaijan, Digital Economy, ICT Sector, Innovation, R&D, Diversification, Azercosmos, E-Governance, Non-Cash Payments, Digital Transformation |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:esprep:333330 |
| By: | Geylani, Pinar Celikkol; Park, Timothy A.; Restrepo, Brandon J. |
| Keywords: | Productivity Analysis, Research and Development/Tech Change/Emerging Technologies, Production Economics |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:ags:aaea24:343704 |