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Repenser la Gestion des Connaissances à l’ère de l’IA Limites cognitives, tensions éthiques et enjeux organisationnels
Full text linkIn an era shaped by artificial intelligence, massive data flows, and growing organizational uncertainty, classical models of knowledge management (KM) are facing increasing limitations. Initially developed in relatively stable environments, these frameworks struggle to account for hybrid knowledge ecosystems, algorithmic mediation, and new cognitive tensions. This paper offers a critical and integrative reassessment of the main KM model families. It highlights key contemporary tensions, including knowledge reification, fragmentation of cognitive processes, and human deskilling. To address these challenges, the paper relies on the concept of composite cognitive ecology, which offers a new lens to understand the interplay between human and algorithmic agents in the production, transmission, and use of knowledge. The paper thus aims to open new avenues for research and action, fostering the emergence of organizations that are more learning-oriented, critical, and adaptive
Strategic stockpiling reduces the geopolitical risk to the supply chain of copper and lithium
Full text linkCopper and lithium are essential to the global energy transition, each playing distinct roles in enabling low-carbon technologies. However, their supply chains are highly vulnerable to geopolitical risks, posing a threat to the stability and resilience of future clean energy systems.This study proposes strategic stockpiling as a cost-effective instrument to mitigate supply disruptions due to geopolitical risks in copper and lithium supply chains. First, we develop and apply novel, stage-specific, measures of geopolitical risk for copper and lithium for each of the four key phases of their supply chain: proven reserves, extraction, refining and end-use
consumption. Second, we construct forward-looking stockpiling scenarios for both minerals, grounded in projected demand under the International Energy Agency’s Announced Pledges
(APS) and Net Zero Scenario (NZS) pathways. Our estimates indicate substantial supply shortfalls by 2040 when strategic stockpiling is incorporated. Specifically, we project the
shortfall in lithium supply to increase by a factor of 7.8 under APS and 9.8 under NZS, while copper shortages are projected to grow by 4.6 and 6.1 times, respectively. We consider Artificial Intelligence (AI)-driven productivity gains and recycling as alternative ways to alleviate shortages in both copper and lithium markets. We show that while enhanced recycling can significantly contribute to closing the supply gap for copper, its impact remains limited in the case of lithium due to technological, geological, and geographical constraints. We conclude that AI-driven productivity gains are essential to close the supply gap for both critical minerals
The relationships between political stability, military expenditures, arms imports, and oil exports: a CS-DL approach for six Gulf countries
Full text linkWe consider the relationships between military expenditures, arms imports, political stability, oil exports, gross domestic product, and greenhouse gas emissions in a panel of six oil-exporting countries of the Gulf region and annual data ranging from 2000 to 2023. Second-generation panel unit root and cointegration tests are used because of the cross-sectional dependence between our considered variables. The cross-sectional distributed lag (CS-DL) methodology is performed to estimate our long-run coefficients. Several novel results are highlighted. In the long-run, arms imports increase political stability and economic growth. While military expenditures increase oil exports, arms imports slightly reduce them. Oil exports increase military expenditures but reduce arms imports. Political stability reduces military expenditures and increases gross domestic product. These oil-exporting Gulf countries are advised to reinforce their military efforts, in particular by planning the production of high-tech weapons, to improve their oil exports and thus their gross domestic product. Economic growth combined with political stability enables them to become producing and exporting renewable energy countries through adequate energy efficiency and renewable energy strategies
Digital financial inclusion research and developments around the world
Full text linkThis study presents an overview of digital financial inclusion research and developments around the world. The literature has paid little attention to the uneven digital financial inclusion developments in different regions of the world. There is a need for an overview of the existing digital financial inclusion research and developments around the world to gain insight into digital financial inclusion trends and to chart some directions for future research. It was shown that digital financial inclusion has a beneficial positive effect on wellbeing and society. There are uneven positive developments in digital financial inclusion across regions. The determinants of digital financial inclusion are varied according to regions. Every region is faced with a unique set of challenges that limit progress in digital financial inclusion
Totalitarian Accounting and the Trumpian Risks
Full text linkThe research takes a discourse analysis approach to the bilateral information of mainland China and the United States, with a focus on how the economic game will lead to in relation to geopolitics. With the law of supply and demand and the characteristics of the Chinese socialist economy, the research analyzes the totalitarian regime’s possible future impacts on the free economy that consists of the majority of the globalized economy. The research concludes that Donald Trump’s policy agendas pose a tremendous risk for global security with the key game played out in the futures field
Career Pathways of BSN Graduates from Basilan State College: A Tracer Study
Full text linkThis tracer study investigates the career pathways of Bachelor of Science in Nursing (BSN) graduates from Basilan State College (BSC) between 2022 and 2024. Guided by the Social Cognitive Career Theory (SCCT), the study employed a quantitative, descriptive, cross-sectional design using an online survey to collect data on employment status, job roles, challenges in job searching, job satisfaction, and perceived relevance of the BSN program. Findings revealed a high overall employment rate (67.3% full-time, 17.6% part-time), with hospitals and clinics being the primary employers. A significant portion of graduates (24.8%) sought employment in Saudi Arabia, highlighting the influence of international job markets. While most graduates worked in nursing-related fields and expressed satisfaction with their jobs, a notable percentage reported neutral job satisfaction. Lack of relevant work experience, intense job competition, and difficulty finding jobs in preferred locations were identified as major challenges. The study concludes that BSC's BSN program effectively prepares graduates for nursing careers, but emphasizes the need for enhanced internship programs, strengthened career services, and further investigation into factors influencing job satisfaction. Recommendations include bolstering practical experience opportunities, providing comprehensive career support, promoting lifelong learning, and regularly conducting tracer studies to adapt to evolving workforce demands
Financial inclusion and large language models
Full text linkLarge language models have gained popularity, and it is important to understand their applications in the financial inclusion domain. This study identifies the benefits and risks of using large language models (LLMs) in the financial inclusion domain. We show that LLMs can be used to (i) summarize the key themes in financial inclusion communications, (ii) gain insights from the tone of financial inclusion communications, (iii) bring discipline to financial inclusion communications, (iv) improve financial inclusion decision making, and (v) enhance context-sensitive text analysis and evaluation. However, the use of large language models in the financial inclusion domain poses risks relating to biased interpretations of LLM-generated responses, data privacy risk, misinformation and falsehood risks. We emphasize that LLMs can be used safely in the financial inclusion domain to summarise financial inclusion speeches and communication, but they should not be used in situations where finding the truth is important to make decisions that promote financial inclusion
Reflecting on the recent banking crisis, what are the new financial stability determinants?
Full text linkLittle attention has been paid to the role of inflation and financial inclusion in influencing financial stability. These factors have become all the more important in light of the recent banking crisis in the United States. The lessons learnt from the recent banking crisis have heightened the need for financial regulators and bank supervisors to undertake continuous search for the non-traditional determinants of financial stability to identify risks early and mitigate risks to financial system stability. In this article, we examine some non-traditional determinants of financial stability using data from sixty-one countries from 2009 to 2021. The first-difference panel GMM regression method was used to estimate the model, and we find that greater financial stability in the previous period is followed by greater financial stability in the subsequent period in all regions, signalling the persistence of financial stability. The loan-to-deposit ratio improves financial stability in European and Americas countries while countries that have a high level of financial inclusion, and whose banking sector have a high loan-to-deposit ratio, are more financially stable. Financial inclusion improves financial stability in high inflation environments particularly in African and Americas countries. High levels of financial inclusion impair financial stability during a recession particularly in Asian countries. African banks with a high loan-to-deposit ratio are more financially stable during a recession. Also, Americas and African countries that have a combined high financial inclusion and inflation rates and whose banking sector have a high loan-to-deposit ratio are less financially stable, indicating that high inflation hinders financial inclusion and loan-to-deposit ratio from improving financial stability
The Evolving Landscape of Artificial Intelligence on Knowledge Acquisition: An Empirical Assessment
Full text linkArtificial Intelligence (AI) is transforming the way individuals engage with information, especially in educational environments where there is an increasing need for tailored, scalable, and effective learning models. This study offers a thorough evaluation of the changing impact of AI on knowledge acquisition, emphasising learners’ adaptability, engagement, and performance. This paper employs a mixed-methods approach with a carefully selected sample size of 150 participants from various academic institutions and learning environments to assess the effectiveness, challenges, and equity dimensions of AI-enabled educational tools. The findings indicate significant enhancements in understanding and memory retention among users of AI platforms, while also highlighting inequalities in access and the necessity for responsible implementation. The research provides practical policy recommendations to facilitate the sustainable integration of AI in knowledge delivery systems
Age dependent investment decisions in light of intergenerational altruism
Full text linkInvestment decisions differ depending on the age of the investor in terms of both the quantity and the composition of the investments. First, this age-dependency of investment decisions is due to changes in risk aversion over the life-cycle, i.e. older investors are normally less willing to bear risks compared to younger investors. Second, older individuals encounter less residual capacity in order to compensate for potential losses, i.e. a potential loss might not be neutralized within the years of residual life expectancy. Simultaneously, both channels lead to less risk taking on the financial market of older investors, and correspondingly, to lower returns on average. This paper shows that intergenerational altruism might neutralize the shift of investment decisions towards less risky assets. In particular, in case the next generation can compensate for potential losses which is internalized and recognized by the investor, the shift in investment decisions might be neutralized or even reversed