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on Economics of Strategic Management |
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Issue of 2025–10–06
seven papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Kazuyuki MOTOHASHI; Naotoshi TSUKADA; Kenta IKEUCHI |
| Abstract: | Corporate scientists that are involved in scientific activities, often leading to research paper publications, are important for corporate innovation, since science-based innovation tends to be transformative, spanning the boundaries of existing R&D pipelines. Such scientists can also play a role as a bridge between academic researchers, injecting scientific knowledge from outside the firm. However, the publication of internal corporate scientific activities could benefit competitor firms, providing them with input towards their own transformative innovation. In this study, we analyze this trade-off using a linked dataset of research papers and patents (disambiguated by paper author and patent inventor information and patent citation in research papers) of Japanese firms. Specifically, we analyzed two aspects, (1) contribution of corporate scientist research papers to in-house innovation (patent) and (2) capacity of corporate scientists to absorb scientific findings from outside their firms to obtain high quality patents. Our findings indicate that corporate scientists contribute to both aspects of innovation in their firms. |
| Date: | 2025–09 |
| URL: | https://d.repec.org/n?u=RePEc:eti:dpaper:25089 |
| By: | Ufuk Akcigit; Harun Alp; Jeremy Pearce; Marta Prato |
| Abstract: | This paper studies how individuals sort into entrepreneurship and invention-related occupations and how their interactions shape innovation and economic growth. We develop an endogenous growth model in which occupational sorting jointly determines the supply of R&D talent and entrepreneurs’ demand for it. Empirically, using Danish microdata, we show that transformative entrepreneurs—those who hire R&D workers—tend to have higher IQ and education and build faster-growing firms than other entrepreneurs. Quantitatively, the estimated model indicates that financial barriers to education misallocate talent; alleviating them through education subsidies increases both demand and supply of R&D workers, raising innovation and long-run growth. Broad startup subsidies are ineffective. |
| Keywords: | entrepreneurship; R&D Policy; innovation; IQ; endogenous growth |
| JEL: | O31 O38 O47 J24 |
| Date: | 2025–09–01 |
| URL: | https://d.repec.org/n?u=RePEc:fip:fednsr:101780 |
| By: | Laura Broccardo (UNITO - Università degli studi di Torino = University of Turin); Elisa Ballesio (UNITO - Università degli studi di Torino = University of Turin, UniCA - Université Côte d'Azur); Daniele Giordino (Università Telematica Pegaso); Elisa Giacosa (UNITO - Università degli studi di Torino = University of Turin) |
| Abstract: | The diffusion of artificial intelligence (AI) amongst organizations is profoundly revolutionizing business processes, such management control (MC) practices. However, the existing literature reveals a significant gap in understanding the contribution of AI-empowered tools to management control systems (MCSs), particularly within small and medium enterprises (SMEs), where these systems are often rudimental, informal, subjective, and short-period-oriented. To address this gap, the authors employed a mixed-methods approach, featuring an open-coding and thematic analysis of AI-generated answers to MC questions related the analysis of liquidity and profitability ratios from 37 Italian SMEs, as well as a qualitative investigation, with in-depth interviews with 15 respondents, to highlight their perceptions. Our investigation is informed by the social construction of technology theory, to explore the relevant social groups, interpretative flexibility, technological frames and patterns of closure related to AI-empowered tools and their contribution to SMEs' MCSs. We connect our findings to two frames, which highlight, on the one hand the positive contribution of such tools to SMEs' MCSs through accurate and comprehensive responses; on the other hand, a negative frame highlights concerns related to inconsistency and verbosity of the answers, which may affect trust and usability. This manuscript aims to provide an overview of the possible contribution of AI-empowered tools to SMEs' MCSs. Both scholars and practitioners can benefit from the theoretical and practical implications provided, which complements the limited number of studies in the field. Future research avenues are discussed. |
| Keywords: | Social Construction of Technology theory, Small and Medium Enterprises, SMEs, Artificial Intelligence, Management Control |
| Date: | 2025–07 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05235644 |
| By: | Becker, Annette; Hottenrott, Hanna; Mukherjee, Anwesha |
| JEL: | L26 O32 O33 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:vfsc25:325401 |
| By: | Yassine Sekaki (UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]); Hamza Ziane (UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]); Abdelhafid Khazzar (UAE - Abdelmalek Essaadi University [Tétouan] = Université Abdelmalek Essaadi [Tétouan]) |
| Abstract: | AI has risen as one of the most influential topics in scientific research over the past decade, focusing on the application of AI technologies in multiple disciplines. Management, as a science that has been studied, researched, and applied, shows great opportunities in terms of AI applications, notably as a tool for enhancing decisionmaking, sustainability in managerial practices, and so on. This bibliometric study aims to investigate the trends of AI research in management, defining the focus areas and research gap publications were gathered from the scopus database, and were processed through the bibliometrix library of the R studio analysis software , data were represented using the VOSviewer software, the research yielded a significant number of papers on different topics, data analysis comprised the country of origin, publication journal, author and keyword co-occurrence. The results showed an increase in publications stuying the uses of AI in management from 2021 to 2024 and a sharp decline of publication output in 2025. leading countries were shown to be China, india and the United States which dominated in volume of publication, while the United Kingdom dominated in citation impact. The dominating journals were ustainability, Technological Forecasting and Social Change, and IEEE Transactions on Engineering Management respectively. The Keywords co-occurrence and thematic mapping showed an increasing shift from technical applications to societal aspects such as sustainability, digital transformation, and decisionmaking support. The research shows a strategic shift in AI research, a changing landscape of pure and applied AI toward a more nuanced type of studied. |
| Keywords: | Artificial Intelligence, Management, Bibliometric Analysis, Technological Innovation, Digital Transformation |
| Date: | 2025–08–27 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05236423 |
| By: | Nina Gorovaia (Frederick University); Dildar Hussain (ESC [Rennes] - ESC Rennes School of Business) |
| Abstract: | We investigate the relationship between corporate social responsibility (CSR) and brand competitiveness in franchising. Our paper demonstrates the challenges of adopting CSR programs in franchise networks as franchisees are independent entrepreneurs whose activities are governed by franchise contracts. We measure CSR on two dimensions: proactive CSR-franchisor's strategy, and partner preference-selection of franchisees with proven CSR commitment. Grounded in the brand co-creation concept, we crowdsource the brand competitiveness data from an anonymous crowd of customers-active experiencers of the brand and use traditional survey methodology to collect brand data from the franchisors-original brand creators. The franchisor survey had 65 usable responses, with data collected from senior managers of franchise organizations in Austria. In the crowdsourced survey, each brand received a different number of assessments from min 87 to max 238, with an average of 142 assessments per brand. The results of cluster and regression analyses suggest that CSR positively influences franchise firms' brand competitiveness.Prior studies have examined the prevalence of CSR in franchising (Meiseberg and Ehrmann 2012), corporate social disclosure (Perrigot et al. 2015; Le Bot et al. 2022), the effectiveness of CSR communications (Oueslati et al. 2023), and the performance of CSR routines (Lawrence et al. 2024). However, the following three key gaps persist:1. CSR and Brand Competitiveness: No research investigates how CSR translates to brand competitivenessdefined as a brand's ability to outperform rivals through This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
| Keywords: | proactive CSR, Partner preference, Franchising, Crowdsourcing, Corporate social responsibility, brand competitiveness, brand co-creation |
| Date: | 2025–05–21 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05233649 |
| By: | Egger, Hartmut; Elke, Jahn; Meier, Philipp |
| JEL: | F23 R12 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:vfsc25:325399 |