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on Knowledge Management and Knowledge Economy |
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Issue of 2026–03–30
three papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Debin Ma (Fudan University); Jared Rubin (Chapman University); Weiwen Yin (University of Macau) |
| Abstract: | This paper revisits the old thesis of the contrasting paths of modernization between Japan and China. It develops a new analytical framework regarding the role of knowledge acquisition (propositional vs. prescriptive) and political centralization as the key drivers behind these contrasting paths. Our model and historical data highlight how the introduction of these elements contributed to Meiji Japan’s decisive turn towards the West and Qing China’s lethargic response to Western imperialism. Our analytical framework, developed from a comparative historical narrative and quantitative data, sheds new light on the importance of knowledge acquisition in enabling developing countries to reach the world’s economic frontier. |
| Keywords: | propositional knowledge, prescriptive knowledge, China, Japan, economic development, economic divergence, Meiji Reform, centralization, decentralization |
| JEL: | P52 N45 N40 Z10 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:chu:wpaper:26-04 |
| By: | Peng Hu'An (Guangxi Normal University); Fateh Saci (CHROME - Détection, évaluation, gestion des risques CHROniques et éMErgents (CHROME) - Nîmes Université - UNIMES - Nîmes Université, UMay - Université de Mayotte (UMay)); Javid Iqbal (CUI - COMSATS University Islamabad); Mohamad Ahmad (LARGEPA - Laboratoire de recherche en sciences de gestion Panthéon-Assas - Université Paris-Panthéon-Assas); Wafa Ghardallou (Princess Nourah Bint Abdulrahman University); Ubaldo Comite (Giustino Fortunato University) |
| Abstract: | Amongst escalating environmental challenges, organizations are increasingly adopting leadership approaches that advance sustainability-oriented outcomes. This study investigates the influence of Green Servant Leadership (GSL) on Green Innovation (GI), emphasizing the mediating role of Tacit Green Knowledge (TK) and the moderating effect of Organizational Green Culture (OC). Drawing on empirical data collected from China's manufacturing sector and employing structural equation modeling via SmartPLS, the results demonstrate that GSL significantly fosters TK, which subsequently promotes GI. Furthermore, the moderation analysis indicates that OC positively strengthens the relationship between GSL and TK (β = 0.121, T = 3.562, p < 0.001), suggesting that the impact of green leadership on knowledge-sharing behaviors is amplified in organizations that cultivate a strong green culture. This moderated mediation effect implies that organizational culture not only enhances the dissemination of tacit green knowledge but also strengthens the indirect influence of leadership on innovation. |
| Keywords: | Moderated Mediation, Knowledge-Based, Organizational Green Culture, Green Innovation, Tacit Green Knowledge, Leadership |
| Date: | 2026–01–20 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05551357 |
| By: | Drydakis, Nick |
| Abstract: | Artificial intelligence (AI) is increasingly recognised as a key driver of business innovation, yet its adoption among small and medium-sized enterprises (SMEs) varies considerably. This study examines whether AI Capital, defined as AI-related knowledge, skills and capabilities, is associated with business innovation among SMEs in England. Using a two-wave longitudinal panel dataset comprising 504 observations from SMEs collected in 2024 and 2025, the study develops and validates a 45-item AI Capital of Business scale. Business innovation is measured across five dimensions: product and service innovation, process innovation, technology adoption, market and customer engagement, and organisational culture and strategy. Regression models, including pooled OLS, Random Effects, and Fixed Effects specifications, are employed. The findings reveal a robust positive association between AI Capital and business innovation across all model specifications. This association holds across all business innovation dimensions and remains consistent for SMEs with differing levels of financial performance, size, and operational maturity. Each component of AI Capital independently exhibits a positive association with business innovation outcomes. The results highlight the central role of AI Capital in enabling SMEs to translate AI adoption into tangible business innovation. From a policy perspective, the findings indicate the value of targeted interventions that prioritise AI upskilling, organisational capability development, and accessible support mechanisms to promote inclusive and sustainable AI-driven business innovation among SMEs. |
| Keywords: | Artificial Intelligence, Artificial Intelligence Capital, Business Innovation, Innovation, SMEs |
| JEL: | O31 O33 O32 L26 L25 M15 D83 J24 O14 O39 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:glodps:1723 |