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on Economics of Strategic Management |
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Issue of 2025–11–24
seven papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Kikuchi, Tatsuru |
| Abstract: | This paper investigates how executive demographics—particularly age and gender—influence artificial intelligence (AI) investment decisions and subsequent firm productivity using comprehensive data from over 500 Japanese enterprises spanning 2018-2023. Our central research question addresses the role of executive characteristics in technology adoption, finding that CEO age and technical background significantly predict AI investment propensity. Employing these demographic characteristics as instrumental variables to address endogeneity concerns, we identify a statistically significant 2.4\% increase in total factor productivity attributable to AI investment adoption. Our novel mechanism decomposition framework reveals that productivity gains operate through three distinct channels: cost reduction (40\% of total effect), revenue enhancement (35\%), and innovation acceleration (25\%). The results demonstrate that younger executives (below 50 years) are 23\% more likely to adopt AI technologies, while firm size significantly moderates this relationship. Aggregate projections suggest potential GDP impacts of ¥1.15 trillion from widespread AI adoption across the Japanese economy. These findings provide crucial empirical guidance for understanding the human factors driving digital transformation and inform both corporate governance and public policy regarding AI investment incentives. |
| Keywords: | Artificial Intelligence, Executive Demographics, Technology Adoption, Productivity, Digital Transformation |
| JEL: | D24 L25 M12 O33 O47 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:126734 |
| By: | Mohamed Zahidi (UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar)); Sara Ousghir (UCD - Université Chouaib Doukkali); Hajar Makry (UCD - Université Chouaib Doukkali); Ayoub Kassimi (UH2C - Université Hassan II de Casablanca = University of Hassan II Casablanca = جامعة الحسن الثاني (ar)) |
| Abstract: | Numerous studies have focused on the relationship between proximitymainly geographical -and business innovation in a given territory (Chesbrough, 2003; Laursen & Salter, 2006; Mongo, 2013). The objective of our research is to study the link between the proximity of all forms and start-ups' level of innovation in the Casablanca-Settat region of Morocco by applying structural equation modelling (PLS-SEM) using the Smart PLS 3.3.9 software. Moreover, a structural model is proposed that can be used to assess the level of innovation in organizations based on their internal capacities (human, financial, and technical capital) and the logic of proximity established within their local and global environment. To verify our hypotheses, the proposed model is tested on a sample of 98 Moroccan start-ups, relying on the mixed methodology of the hypothetico- |
| Keywords: | proximity, innovation, internal capabilities, Moroccan start-ups, PLS-SEM approach |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05243699 |
| By: | Nripendra Rana (University of Bradford); Jawaher Abdulrahman Alomar; Kumod Kumar; Ransome Epie Bawack (Audencia Business School); Muhammad Ovais Ahmad |
| Abstract: | This study investigates the impact of perceived organizational support (POS) on employees' intentions to continue using business analytics (BA) tools. By integrating Organizational Support Theory (OST) and technology adoption models, the research highlights the critical roles of technical and top management support in influencing perceived compatibility and usefulness, which drive BA continuance intentions. Data were collected between August and October 2021 from employees across various industries in Ireland, Finland, and Sweden who used BA tools in their work. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data, the findings reveal significant relationships between the organizational support types and continuance intentions, with technical support being particularly crucial for long-term use. This study extends OST by emphasizing the importance of technical support and confirms the relevance of perceived compatibility and usefulness in technology continuance. |
| Keywords: | Business analytics, Organizational support, Technical support, Top management support, Business analytics continuance intentions, Organizational support theory |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05325248 |
| By: | Salvatore Viola (AQR-IREA, University of Barcelona); Ernest Miguelez (AQR-IREA, University of Barcelona); Rosina Moreno (AQR-IREA, University of Barcelona); Davide Consoli (Universitat Politècnica de València - CSIC-UPV); François Perruchas (Universitat Politècnica de València) |
| Abstract: | One important factor in addressing climate change is the development and deployment of environmental-related, or green, technologies (GT). Environmental-related technologies are distinct, requiring specific conditions to be developed which vary depending on their relative level of technological maturity. Recent studies have focused on the role of migrant inventors in creating these conditions and spurring regional diversification into new technological domains. Regional diversification helps regions avoid lock-in and even escape fossil fuel dependencies. While the contribution of migrants to science and innovation is well documented, less attention has been given to migrants and diversification, especially in the case of GT and along the technological life cycle. In this study, we investigate the role of US-based migrant inventors in regional GT diversification using patent data from the USPTO between the year 1990 and 2012. We find that migrant inventors are positively associated with regional GT diversification, partly as a result of their previous patenting experience as well as the specializations of their countries of origin. With regard to the technological life cycle, while geographically diffused technologies rely on corresponding inventor experience, emergent technological diversification benefits from inventors from specialized countries. These findings highlight the bridging role that migrant inventors in international knowledge transfer and their importance in regional diversification in particular environmental-related technologies. |
| Keywords: | Regional Diversification; Green Technology; Immigration; Technological Life Cycle JEL classification:O33; Q55; J61; R11 |
| Date: | 2025–11 |
| URL: | https://d.repec.org/n?u=RePEc:aqr:wpaper:202508 |
| By: | Tanveer Ahsan (Rennes SB - Rennes School of Business); Ammar Ali Gull (DVHE - De Vinci Higher Education); Sabri Boubaker (EM Normandie - École de Management de Normandie = EM Normandie Business School); Riadh Manita (NEOMA - Neoma Business School) |
| Abstract: | This paper examines the effects of COVID‑19 and business strategy on the performance of Chinese-listed firms. Using a sample of 2, 606 Chinese non financial listed firms over 2010-2022, we provide evidence that the COVID‑19 (business strategy) pandemic has a significant negative (positive) impact on firm performance and business strategy positively moderates the negative relationship of COVID‑19 on firm performance. We further show that firms with a proactive business strategy had better resilience during the COVID‑19 pandemic than firms with a defensive business strategy. We also find that these relationships are more pronounced for state-owned and large firms. Our results are robust to a battery of robustness tests and contribute to the growing debate on the role of business strategy during crises, offering insights to regulators and policymakers. |
| Keywords: | COVID- 19, Business strategy, Corporate resilience, Firm performance |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05289833 |
| By: | Eugenie Dugoua; Jacob Moscona |
| Abstract: | This chapter examines the economics of climate innovation and its role in the clean technology transition. It outlines the incentives, market failures, and policy levers that shape the development and diffusion of clean technologies; traces global patterns in technology development and deployment; and highlights frontier challenges and open questions related to climate adaptation, critical mineral supply chains, artificial intelligence, and geopolitics. The analysis explores the role of effective climate policy, stressing the relevance of coordinated approaches that match instruments to technology maturity and local context. |
| Keywords: | climate change, innovation, R&D, clean energy, energy transition, industrial policy, climate adaptation, critical minerals, AI |
| JEL: | O3 Q5 O13 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_12267 |
| By: | Vitor Furlanetto Barrionuevo (UFSCar - Federal University of São Carlos); Mario Henrique Callefi (Chemnitz University of Technology / Technische Universität Chemnitz); Moacir Godinho Filho (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School); Matthias Thürer (Chemnitz University of Technology / Technische Universität Chemnitz); Gilberto Miller Devós Ganga (UFSCar - Federal University of São Carlos); Marina Ivanova (Chemnitz University of Technology / Technische Universität Chemnitz) |
| Abstract: | Road freight transportation is a crucial enabler of the global economy due to its cost and flexibility advantages. However, road freight transportation also significantly impacts the environment, contributing to greenhouse gas emissions, traffic congestion, and pollution. To address this trade‐off, this study investigates the synergistic effects of tech‐enabled capabilities on the sustainability of road freight transportation. Grounded in the natural resource‐based view (NRBV) theory, it identifies tech‐enabled capabilities for sustainability, explores their interrelationship, and determines how these capabilities can contribute to a competitive advantage. A mixed‐methods approach was employed, comprising five phases: capability identification, expert validation using the Fuzzy Delphi method, development of a structural model via Interpretive Structural Modeling (ISM), analysis of interrelationships using Cross‐Impact Matrix Multiplication Applied to Classification (MICMAC), and creation of an Integrated Capabilities Framework for Sustainability in Road Freight Transportation (ICF‐SRT). Findings highlight three groups of capabilities—pioneer, integrator, and ancillary—each playing a distinct role in enhancing sustainability and competitive advantage in road freight transportation. The study advances NRBV theory by mapping the interdependencies of tech‐enabled capabilities and demonstrating their role in fostering sustainable practices. It provides road freight companies with a strategic framework for integrating and optimizing technologies to improve sustainability efforts, align with environmental and social governance (ESG) standards, and maintain a competitive edge in an eco‐conscious market. |
| Keywords: | Competitive Advantage, Interpretive Structural Modeling (ISM), Natural Resource- |
| Date: | 2025–08–01 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05290558 |