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Can death effects exist without dead artists? Evidence from the second-hand toy market
No full textInternational audienceWith the burgeoning of collaborative platforms, the interplay between valuation channels in primary and secondary markets has emerged as a pivotal concern for a wide range of economic actors. We investigate, in line with the literature on collectables valuation, the effect of size, rarity, and themes on the price of second-hand official LEGO sets. Our data was collected from the BrickLink platform, a prominent online marketplace for second-hand LEGO sets, a few months prior to its acquisition by the LEGO Group. Using an original sample of 7585 different sets, representing 227,920 lots for sale and spanning 107 LEGO themes, we find that sets from discontinued themes experience a death effect, with price increases akin to those observed in the art market after an artist's demise. Additionally, corroborating existing literature, we find evidence of a positive size effect and we confirm that the relative rarity of certain LEGO sets on the market positively affects their price. As for LEGO themes, we document that sets belonging to the most popular and researched themes exhibit higher prices, all other things being equal. Other findings include the positive effect of LEGO elements' diversity, occurrence of minifigures, and sets' age of first release
Digital Transformation in Industrial SMEs: A Holistic Approach to Symbiotic Relationships with Technology
No full textInternational audienceDigital Transformation (DT) has become crucial to growing and developing small and medi-um-sized enterprises (SMEs) worldwide. Integrating digital tools and technologies in SMEswill increase efficiency, productivity, and profitability. Adopting digital solutions can helpSMEs become more competitive, enter new markets, and internationalize operations. How-ever, in the real world, gaps that limit the ability of SMEs to integrate digital assets are stillobserved, remarkably in small countries such as Portugal. This article aims to discover andanalyze how the managers of industrial SMEs in Northern Portugal face the DT process andmodify their SMEs’ operations due to the DT process. Through semi-structured interviewsand subsequent thematic analysis, this study fills a gap in empirical studies on industrialSMEs passing through DT. It proposes a practical and foundational DT strategy for SMEmanagers. The findings demonstrate an informational deficit among managers and the sci-entific field, with a need for conceptual clarifications. Nonetheless, the results of digital toolintegration and their consequent changes offer clear advantages to SMEs that implementthem. Therefore, besides a strategic proposal for SMEs interested in DT, this study raisesnovel pertinent questions about DT in industrial SMEs
Mergers, Acquisitions, and Geopolitical Challenges in the Global Market: an overview
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An Integrated Big Data Analytics Architecture for Resilience: A Case Study of Last-Mile Agri-Food Delivery
No full textInternational audienceIn the wake of global crises and the rising need for robust supply chains, this study delves into the role of big data analytics in agrifood logistics. Emphasizing the need for uninterrupted access to essential food supplies, we use a case study approach to outline the requirements for a comprehensive big data solution. This solution, which includes descriptive, predictive, and prescriptive analytics, is based on industry standards, academic research, and the specific needs of a large B2B2C last-mile food delivery company. The proposed system architecture enhances resilience by integrating these three types of analytics, enabling improved anticipation, response, and recovery from supply chain disruptions.</div
Expert Knowledge, Ambidexterity, and IS in Automotive Industry Engineering Projects (AIEP): Overview of a post Clinical Research
No full textInternational audienceThis paper introduces a new form of ambidexterity in IS projects, drawing from the falsification of a clinical research conducted in an automotive engineering company, focusing on process reengineering and ERP implementation. It bridges clinical research (1997-2001) with expert insights (2002-2021). Addressing a gap in IS project literature, particularly within Automotive Industry Engineering Projects (PAUTs), the study highlights that exploration-exploitation strategies may become dysfunctional in turbulent, cyclical environments. The article criticizes the short-sighted results of ERP strategies applied to simple automotive projects, and encourages better dialogue between practitioners and decision-makers, with a view to resourcing the IS in line with business cycles.Cet article propose une nouvelle forme d'ambidextrie dans les projets de systèmes d'information (SI), basée sur la réfutation partielle d'une recherche clinique menée dans une entreprise d'ingénierie automobile, centrée sur la réingénierie de pilotage de la performance et la mise en œuvre d'un ERP. Il combine des recherches cliniques (1997-2001) avec des avis d'experts (2002-2021). En comblant une lacune dans la littérature sur les projets SI dans le contexte des projets d'ingénierie automobile (PAUTs), l'étude souligne que les stratégies d'exploration et d'exploitation peuvent devenir dysfonctionnelles dans des environnements turbulents et cycliques. L'article critique les résultats à courte vue des stratégies ERP appliquées aux projets automobiles simples et encourage un meilleur dialogue entre praticiens et décideurs, en vue de ressourcer le SI en fonction des cycles d’activités
Toward Trustworthy ESG Risk Assessment through XAI: a State-of-the-Art Review
No full textInternational audienceAs artificial intelligence (AI) becomes increasingly central to environmental, social, and governance (ESG) risk assessment, concerns about model opacity and stakeholder trust have come to the forefront Traditional ESG scoring systems face limitations such as inconsistent data, lack of transparency, and potential bias issues that are often exacerbated by complex, black-box AI models. This paper examines the role of explainable AI (XAI) and responsible AI (RAI) in enhancing the credibility and ethical alignment of ESG assessments. A comprehensive review of the literature highlights critical research gaps, including the absence of standardised explainability metrics, minimal empirical validation in real-world contexts, and the neglect of cultural variability in trust formation. To address these gaps, the paper introduces a theoretical framework that integrates trust determinants, RAI principles, and XAI techniques. The model also incorporates human-centric moderators and feedback loops to ensure adaptability across stakeholder groups. By linking interpretability, ethical safeguards, and user-centred design, the framework offers a path toward more trustworthy and transparent ESG systems. Ultimately, this study contributes to the development of AI-powered tools that support responsible decision-making in sustainable finance while reinforcing stakeholder confidence and accountability
Integrating soil natural capital into agricultural total factor productivity analysis
No full textInternational audienceFarm productivity is influenced by various factors, notably economic and soil components. Understanding the interplay between these elements is crucial for enhancing agricultural performance. This paper presents an approach to assess agricultural productivity, focusing on soil characteristics alongside traditional economic factors. Drawing upon the framework of the Luenberger-Hicks-Moorsteen productivity indicator, we propose an Agricultural Soil Productivity (ASP) measurement. By integrating soil dynamics into productivity analysis, our method offers a comprehensive understanding of farm performance. Through empirical investigation, we demonstrate the applicability of the ASP indicator in agricultural productivity assessment based on a non parametric analytical framework. This paper contributes to the discourse on sustainable agriculture by bridging the gap between economic performance and soil health considerations, and by providing practitioners with valuable insights to enhance farm management practices
Adolescent financial literacy: viewing peers as good financial role models
No full textInternational audiencePurpose This study aims to develop a peer financial modelling scale to ascertain any correlations between the role modelling of peers and the financial literacy of adolescents. The theoretical foundation for this aim lies in Social Learning Theory. This study also examines the reliability of the recently developed short and minimal versions of the Parent Financial Socialisation Scale. Design/methodology/approach Using a survey administered through Qualtrics, data were collected from a sample of 382 15- to 19-year-olds. Confirmatory factor analysis was used to measure model fit of any proposed scale, with Cronbach’s alpha calculated to assess for internal consistency reliability. An ordinary least squares regression was then run to assess any correlation between the scale developed and financial literacy, incorporating control variables for gender and socioeconomic status. Findings A Peer Financial Modelling Scale is developed and found to be negatively correlated with financial literacy levels. Adolescents with lower financial literacy are more likely to view their peers as good financial role models. All three versions of the Parent Financial Socialisation Scale were found to be positively correlated with financial literacy knowledge. Research limitations/implications Limitations include the lack of a general cognitive ability measure and personality measure in the ordinary least squares regressions. Practical implications A previously undiscovered advantage of higher financial literacy levels among adolescents is a lower likelihood to see peers as appropriate financial role models. Originality/value To the best of the authors’ knowledge, this study is the first to develop a scale to capture the socialising effect of peers in the context of financial literacy
Commensurability of performance metrics in production management
No full textInternational audienceThis chapter examines the commensurability condition, also known as the unit invariance property, of performance measurements in production economics or related areas. This notion is presented through efficiency and productivity measures. This property is crucial for practitioners to obtain robust and reliable performance metrics, enabling them to adopt appropriate management strategies in production management. To emphasize the significance of this property in production management, the chapter begins by presenting the key performance metrics commonly used in the field. It then explains the commensurability condition through the lens of these metrics. This discussion highlights the practical implications of this property in production management, particularly in scenarios where management strategies depend on accurate performance evaluation
