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on Economics of Strategic Management |
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Issue of 2025–02–24
five papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Dam, John; Rickon, Henry |
| Abstract: | This literature review aims to elucidate the nuanced relationship between data openness and innovation within the field of Artificial Intelligence (AI). As the significance of AI continues to expand across various sectors, understanding the role of open data in fostering innovation becomes increasingly critical. Through this review, we systematically explore and analyze the wealth of existing literature on the topic. We address key concepts, theoretical perspectives, and empirical findings, shedding light on the multi-dimensional facets of data openness, including accessibility and usability, and their impact on AI innovation. Furthermore, the review highlights the practical implications and potential strategies to leverage data openness in propelling AI innovation. We also identify existing gaps and limitations in current literature, suggesting avenues for future research. This comprehensive review contributes to the evolving discourse in AI studies, offering valuable insights to researchers, data managers, and AI practitioners alike. |
| Date: | 2023–05–15 |
| URL: | https://d.repec.org/n?u=RePEc:osf:thesis:a3zwu_v1 |
| By: | Marco Bellandi; Gianluca Fiorindi; Jasna PoÄ ek; Sara Pucci; Silvia Ramondetta |
| Abstract: | This paper focuses on the Tuscany’s innovation and entrepreneurial ecosystem of the Life Sciences. We pay attention to innovative startups and SMEs within more consolidated entrepreneurial fabrics, where large companies have a greater role compared to the typical production sectors of the region. We highlight the role of triple and quadruple helix relationships for innovation, therefore not only between companies, but also between these and research actors, levels of governments, and non-governmental organizations. The features of a dynamic regional ecosystem are thus outlined. Elements of relative weakness also emerge compared to other Italian regions. Finally, we consider policies supporting the development of this ecosystem and some prospects for related in-depth studies and research. |
| Keywords: | Innovation and Entrepreneurial Ecosystems; Life Sciences; Tuscany |
| JEL: | O31 R11 R58 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:frz:wpaper:wp2024_28.rdf |
| By: | Djidonou, Robert (RS: GSBE other - not theme-related research, Mt Economic Research Inst on Innov/Techn); Foster-McGregor, Neil (RS: GSBE MGSoG, Mt Economic Research Inst on Innov/Techn); Mathew, Nanditha (Maastricht Graduate School of Governance, RS: GSBE MORSE, RS: GSBE MGSoG) |
| Abstract: | Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in reducing poverty and inequality by generating the majority of jobs, income, and pathways to better employment opportunities. However, informal enterprises are often characterized by low productivity and significant decent work deficits. In Sub-Saharan Africa, where a large share of the workforce is engaged in informal enterprises, transitioning to formality is essential for enhancing productivity, fostering economic growth, and ensuring decent work for all. A critical pathway for informal firms to formalize is through production and worker linkages with formal firms. Using a sample of 13, 626 informal firms from three Sub-Saharan African countries, this study examines the performance effects of informal firms with formal linkages and explores the mediating role of human capital. We find that formal backward linkages—where informal firms source inputs from formal firms—are significantly more common than other types of formal-informal linkages. Employing heteroskedasticity-based identification, our findings reveal that the productivity gains from these linkages are not automatic - higher human capital is essential for firms to benefit from knowledge and technology transfers. This highlights the critical role of absorptive capacity in enabling informal firms to leverage knowledge and technology transferred through formal backward linkages, thereby emphasizing the importance of targeted capacity-building interventions in fostering inclusive economic growth. |
| JEL: | J40 L14 L25 O12 O17 O33 |
| Date: | 2025–02–14 |
| URL: | https://d.repec.org/n?u=RePEc:unm:unumer:2025006 |
| By: | Abdullah Al Abrar Chowdhury; Azizul Hakim Rafi; Adita Sultana; Abdulla All Noman |
| Abstract: | The escalating challenge of climate change necessitates an urgent exploration of factors influencing carbon emissions. This study contributes to the discourse by examining the interplay of technological, economic, and demographic factors on environmental sustainability. This study investigates the impact of artificial intelligence (AI) innovation, economic growth, foreign direct investment (FDI), energy consumption, and urbanization on CO2 emissions in the United States from 1990 to 2022. Employing the ARDL framework integrated with the STIRPAT model, the findings reveal a dual narrative: while AI innovation mitigates environmental stress, economic growth, energy use, FDI, and urbanization exacerbate environmental degradation. Unit root tests (ADF, PP, and DF-GLS) confirm mixed integration levels among variables, and the ARDL bounds test establishes long-term co-integration. The analysis highlights that AI innovation positively correlates with CO2 reduction when environmental safeguards are in place, whereas GDP growth, energy consumption, FDI, and urbanization intensify CO2 emissions. Robustness checks using FMOLS, DOLS, and CCR validate the ARDL findings. Additionally, Pairwise Granger causality tests reveal significant one-way causal links between CO2 emissions and economic growth, AI innovation, energy use, FDI, and urbanization. These relationships emphasize the critical role of AI-driven technological advancements, sustainable investments, and green energy in fostering ecological sustainability. The study suggests policy measures such as encouraging green FDI, advancing AI technologies, adopting sustainable energy practices, and implementing eco-friendly urban development to promote sustainable growth in the USA. |
| Date: | 2024–12 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2501.14747 |
| By: | Amiti, Mary; Duprez, Cedric; Konings, Jozef; Van Reenen, John |
| Abstract: | Using firm-to-firm transactions, we show that starting to supply a ‘superstar’ firm (large domestic firms, exporters and multinationals) boosts productivity by 8% after three years. Placebos on starting relationships with smaller firms and novel identification strategies support a causal interpretation of “superstar spillovers”. Consistent with a model of technology transfer, we find bigger treatment effects from technology-intensive superstars and also falls in markups (in order to win superstar contracts). We also show that firms that start supplying superstar firms enjoy a ‘dating agency’ effect — an increase in the number of new buyers that is particularly strong within the superstar firm’s network. Taken together, the results suggest an important role for raising productivity through superstars’ supply chains regardless of multinational status. |
| Keywords: | FDI; productivity; spillovers |
| JEL: | F23 O30 F21 |
| Date: | 2024–11–01 |
| URL: | https://d.repec.org/n?u=RePEc:ehl:lserod:124676 |