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on Economics of Strategic Management |
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Issue of 2025–09–01
nine papers chosen by |
| By: | Yassin Allammari (Abdelmalek Essaadi University); Ouiam Boujaddaine (Higher Institute of Nursing and Health Techniques Professions); Ahmed Taqi (Abdelmalek Essaadi University) |
| Abstract: | Although previous studies have established a positive relationship between market orientation (MO), innovation capabilities (IC), and SME performance, the specific context of Moroccan SMEs remains underexplored. This study aims to examine how MO and IC interact to enhance the performance of Moroccan SMEs. A quantitative survey was conducted among 84 SME managers operating in various sectors. Data analysis was performed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method via SmartPLS 4. The results indicate that MO has a positive and direct effect on the performance of Moroccan SMEs. Additionally, IC play a partial mediating role in this relationship. The theoretical and practical implications of these findings provide concrete guidance for SME managers and policymakers, highlighting the strategic importance of strengthening MO and enhancing IC to foster sustainable SME performance in Morocco. |
| Keywords: | Market Orientation, Innovation Capabilities, SME Performance, Moroccan Smes |
| Date: | 2025–02–23 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05161581 |
| By: | Jun Cui |
| Abstract: | This study examines the relationship between human-AI technology integration transformation and green Environmental, Social, and Governance (ESG) performance in Chinese retail enterprises, with green technology innovation serving as a mediating mechanism. Using panel data comprising 5, 400 firm-year observations from 2019 to 2023, sourced from CNRDS and CSMAR databases, we employ fixed-effects regression models to investigate this relationship. Our findings reveal that human-AI technology integration significantly enhances green ESG performance, with green technology innovation serving as a crucial mediating pathway. The results demonstrate that a one standard-deviation increase in human-AI integration leads to a 12.7% improvement in green ESG scores. The mediation analysis confirms that approximately 35% of this effect operates through enhanced green technology innovation capabilities. Heterogeneity analysis reveals stronger effects among larger firms, state-owned enterprises, and companies in developed regions. These findings contribute to the growing literature on digital transformation and sustainability by providing empirical evidence of the mechanisms through which AI integration drives environmental performance improvements in emerging markets. |
| Date: | 2025–07 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2507.03057 |
| By: | Serguey Braguinsky; Joonkyu Choi; Yuheng Ding; Karam Jo; Seula Kim |
| Abstract: | We provide evidence that mega firms have played an increasingly important role in shaping new technological trajectories in recent years. While the share of novel patents---defined as patents introducing new combinations of technological components---produced by mega firms declined until around 2000, it has rebounded sharply since then. Furthermore, we find that the technological impact and knowledge diffusion of novel patents by mega firms have grown relative to those by non-mega firms after 2001. We also explore potential drivers of this trend, presenting evidence that the rise in novel patenting by mega firms is tied to their disproportionate increase in cash holdings and the expansion of their technological scope. Our findings highlight an overlooked positive role of mega firms in the economywide innovation process. |
| Keywords: | Mega Firms; Innovation; Novel Patents; Knowledge Diffusion |
| JEL: | O31 O33 O34 L11 L25 |
| Date: | 2025–08–06 |
| URL: | https://d.repec.org/n?u=RePEc:fip:fedgfe:2025-60 |
| By: | Brandão, Tiago |
| Abstract: | This paper offers a critical historical analysis of the intellectual and institutional precursors to the open innovation paradigm. Challenging the perception of open innovation as a radical departure from earlier models, the paper demonstrates that many of its core principles—such as external collaboration, absorptive capacity, and distributed knowledge flows—have deep roots in 20th-century innovation practices and theories. Through an extensive review of foundational literature in innovation studies, strategic management, and organizational learning, this extended paper traces how ideas of inter-firm cooperation, technological brokering, and institutional embeddedness shaped current open innovation frameworks. Emphasis is placed on the path-dependent nature of absorptive capacity, the strategic management of complementary assets, and the evolution of innovation networks. By revisiting contributions from Mowery, Teece, Cohen and Levinthal, March, Hagedoorn, Powell, and others, the study repositions open innovation within a broader intellectual trajectory, offering a more nuanced understanding of its origins and limitations. |
| Date: | 2025–08–05 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:2nbs3_v1 |
| By: | Yousra Nassou (UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]); Zakaria Bennani |
| Abstract: | In response to the dynamic challenges posed by today's business environment, this study investigates the interplay between organizational structure and managerial performance in Moroccan SMEs. Traditional hierarchies are scrutinized for their limitations in adapting to uncertainty, prompting a reevaluation towards decentralized structures (Fernandez, 2017; Mintzberg, 1979). Citing a broad spectrum of literature, the research establishes a clear link between decentralized structures and heightened managerial performance, emphasizing the pivotal role of alignment between the Accounting Information System (AIS) and organizational structure (Chenhall, 2003; Gul and Chia, 1994). The paper culminates in hypothesis, positing that decentralized companies exhibit superior managerial performance (Boubakary et al., 2020). This abstract provides a succinct overview of the study's exploration of organizational design and managerial efficacy, serving as a valuable resource for businesses navigating the intricacies of the modern business landscape. This study delves into the dynamic interplay between organizational structure and managerial performance in Moroccan Small and Medium Enterprises (SMEs), employing a quantitative research approach. Acknowledging the limitations of traditional hierarchies in adapting to the uncertainties of the contemporary business environment, the research focuses on 96 SMEs in Morocco to scrutinize the efficacy of decentralized structures. |
| Keywords: | SME Morocco business environment decentralization organizational structure, SME, Morocco, business environment, decentralization, organizational structure |
| Date: | 2023–11–01 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05163954 |
| By: | Arenal Alberto (Universidad Politecnica de Madrid); Armuna Cristina (Universidad Politecnica de Madrid); Feijoo Claudio (Universidad Politecnica de Madrid); Ramos Sergio (Universidad Nacional de Educacion a Distancia); Xu Zimu (Cranfield University Cranfield School of Management); Moreno Ana Maria (Universidad Politecnica de Madrid) |
| Abstract: | Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and prospects of China's AI innovation ecosystem by developing a Triple Helix framework particularized for this case. Based on an in-depth qualitative study and on interviews with experts, the analysis section summarizes the way in which the AI innovation ecosystem in China is being built, which are the key features of the three spheres of the Triple Helix -governments, industry and academic/research institutions-as well as the dynamic context of the ecosystem through the identification of main aspects related to the flows of skills, knowledge and funding and the interactions among them. Using this approach, the discussion section illustrates the specificities of the AI innovation ecosystem in China, its strengths and its gaps, and which are its prospects. Overall, this revisited ecosystem approach permits the authors to address the complexity of emerging environments of innovation to draw meaningful conclusions which are not possible with mere observation. The results show how a favourable context, the broad adoption rate and the competition for talent and capital among regional-specialized clusters are boosting the advance of AI in China, mainly in the business to customer arena. Finally, the paper highlights the challenges ahead in the current implementation of the ecosystem that will largely determine the potential global leadership of China in this domain. |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2508.16526 |
| By: | Luisa Corrado; Stefano Grassi; Aldo Paolillo (Cambridge Judge Business School, University of Cambridge) |
| Abstract: | Recent studies suggest that space activities generate significant economic benefits. This paper attempts to quantify these effects by modelling both business cycle and long-run effects driven by space sector activities. We develop a model in which technologies are shaped by both a dedicated R&D sector and spillovers from space-sector innovations. Using U.S. data from the 1960s to the present day, we analyse patent grants to distinguish between space and core sector technologies. By leveraging the network of patent citations, we further examine the evolving dependence between space and core technologies over time. Our findings highlight the positive impact of the aerospace sector on technological innovation and economic growth, particularly during the 1960s and 1970s. |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:jbs:wpaper:202502 |
| By: | Francois de Soyres; Ethan Hunt; Ana Maria Santacreu |
| Abstract: | This blog post looks at China’s transition from technology absorber to innovation leader and exporter of technologies in sectors dominated by advanced economies. |
| Keywords: | China; innovation; technology |
| Date: | 2025–08–14 |
| URL: | https://d.repec.org/n?u=RePEc:fip:l00001:101465 |
| By: | Sipeng Zeng; Xiaoning Wang; Tianshu Sun |
| Abstract: | Although Artificial Intelligence (AI) holds great promise for enhancing innovation and productivity, many firms struggle to realize its benefits. We investigate why some firms and industries succeed with AI while others do not, focusing on the degree to which an industrial domain is technologically integrated with AI, which we term "domain AI readiness". Using panel data on Chinese listed firms from 2016 to 2022, we examine how the interaction between firm-level AI capabilities and domain AI readiness affects firm performance. We create novel constructs from patent data and measure the domain AI readiness of a specific domain by analyzing the co-occurrence of four-digit International Patent Classification (IPC4) codes related to AI with the specific domain across all patents in that domain. Our findings reveal a strong complementarity: AI capabilities yield greater productivity and innovation gains when deployed in domains with higher AI readiness, whereas benefits are limited in domains that are technologically unprepared or already obsolete. These results remain robust when using local AI policy initiatives as instrumental variables. Further analysis shows that this complementarity is driven by external advances in domain-AI integration, rather than firms' own strategic pivots. Time-series analysis of IPC4 co-occurrence patterns further suggests that improvements in domain AI readiness stem primarily from the academic advancements of AI in specific domains. |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2508.09634 |