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De l’analyse à l’empathie et à la créativité : La révolution de l’IA dans la pratique et l’enseignement du marketing
No full textLes progrès rapides de l’intelligence artificielle (IA) exigent de comprendre son impact sur la pratique et l’enseignement du marketing. En adoptant une approche scientométrique et le cadre TCCM (Théorie, Contexte, Caractéristiques, Méthode), notre analyse hybride de la littérature existante synthétise 312 articles sur l’IA dans le domaine du marketing et du comportement du consommateur. Nous identifions cinq domaines de recherche : l’interaction entre l’homme et l’IA dans les services, le traitement du langage naturel ( natural language processing, NLP) et la vision par ordinateur pour la compréhension du consommateur, l’IA pour l’e-commerce et l’aide à la décision, l’automatisation du marketing et la créativité, et l’éthique de l’IA. L’évolution de l’IA est marquée par une transition des technologies analytiques vers des technologies empathiques et intuitives telles que l’informatique affective et l’IA générative. Nous mettons en évidence l’évolution de la dynamique entre les humains et l’IA, l’intégration de l’IA dans les pratiques de marketing et l’éducation, et la transformation du lieu de travail marketing amélioré par l’IA. Nous soulignons l’importance des considérations éthiques, du bien-être des utilisateurs et de l’intégration des outils d’IA générative. Cette étude constitue un guide pour les recherches à venir, les applications pratiques et les progrès éducatifs dans le domaine du marketing et l’IA
Drijfveren voor groei in KMO's
No full textKMO’s die duurzaam willen groeien, moeten consequent investeren in tien verschillende groeicompetenties. Terwijl veel KMO’s het goed doen op vlak van productontwikkeling, leiderschap en financieel management liggen de uitdagingen vooral op vlak van bestuur, digitalisering en HR. Externe investeerders hebben duidelijk een positieve invloed op de bedrijfsgroei. Ook eigenaars-managers met een economisch opleiding investeren meer in groeicompetenties. Familiebedrijven scoren echter voor veel groeicompetenties lager dan het gemiddelde. Tot slot staan grote KMO’s – met uitzondering van digitalisering – over de hele lijn verder wat betreft groeicompetenties dan kleinere bedrijven. Dat zijn de belangrijkste conclusies van een onderzoek bij 162 Vlaamse KMO’s* dat in kaart brengt waarom bepaalde bedrijven sterker groeien dan andere. Het onderzoek werd uitgevoerd door professoren Miguel Meuleman en Yannick Dillen van het Centre for Excellence in KMO Management aan Vlerick Business School in samenwerking met Bank Van Breda en Titeca. Uniek aan dit onderzoek is het holistische perspectief op groei. Enerzijds analyseerden de onderzoekers hoe de bevraagde KMO’s scoren op 10 groeicompetenties die een duurzame bedrijfsgroei beïnvloeden: Purpose, Strategie, Mensen, Financiën, Product, Leiderschap, Besluitvorming en Bestuur, Go-to-market, Structuren en Processen, en Digitalisering. Anderzijds werd er ook gekeken naar kenmerken op vlak van bedrijfsprofiel, de eigenaar-manager, de ondernemende ingesteldheid en de groeimotivatie. Tot slot werd ook de bedrijfsgrootte in rekening gebracht
A solution framework for multi-skilled project scheduling problems with hierarchical skills
No full textMulti-skilled project scheduling concerns the assignment of multi-skilled resources to activities and the scheduling of these activities in order to minimise the project makespan. Since the resources in these problems can be discerned based on their mastered categorical skills, they are considered to be individual entities (human beings) rather than a general class or type of resources. Therefore, researchers have been looking into multi-skilled resources to investigate which other characteristics differentiate them from one another. A main line of research in the last years studies the incorporation of hierarchical skills and their impact on the decision-making in scheduling problems. Hierarchical skills indicate the level at which resources can perform their different skills. In this paper, we present six multi-skilled resource-constrained project scheduling problems with hierarchical skills. In each of these problems, the hierarchical skills have a different impact on the project and its objectives. Solutions are constructed using a solution framework where new problem-specific local searches are embedded in a genetic algorithm. This new framework is tested on existing data from the literature. Computational experiments compare the quality of the solution approaches and the local searches to an integer programming solver. Furthermore, the principal features and tendencies of each problem are discussed. Finally, best-known solutions and lower bounds for all presented problems will be provided.(Flemish Government, Research Foundation - Flanders
Advancing the cognitive perspective on strategy: Organizational consequences of how CEOs and shareholders think
No full textThis dissertation advances the cognitive perspective on strategy by extending fundamental strategic management theories in which CEO cognition has received little attention so far, more specifically, the Behavioral Theory of the Firm and Real Options Theory. Through the integration of insights from strategic leadership with those theories, this work aims to come to a more complete understanding of why firms behave differently. After studying CEO cognition and contributing to those two theories, the final study brings light on cognitive thinking by the organization’s most important stakeholder: the shareholder. This research, building on Signaling Theory and the Sensemaking literature, explains how shareholders may engage in a more complex and holistic assessment of an equivocal firm practice. In addition to advancing the cognitive perspective on strategy, the empirical work in this dissertation brings attention to the European context by leveraging novel datasets of European listed firms
A Data-Driven Component Risk Matrix to Assess Supply Chain Disruption Risk
No full textWe present a data-driven approach to assess supply chain disruption risk at the component level. Our ‘Component Risk Matrix’ categorizes components based on their predicted stock break frequency and severity. Our predictive models employ an XGBoost model with his- torical disruption data and each component’s unique characteristics. Our approach enables prioritizing components for resilience measures by quantifying their criticality and identifying the key drivers behind this criticality. We validate our methodology on 1,867 components from an original equipment manufacturer, demonstrating its practical applicability and pro- viding insights toward risk mitigation. This data-driven approach empowers companies to strategically build supply chain resilience in designing their products and supply chains
The use of IoT sensor data to dynamically assess maintenance risk in service contracts
No full textWe explore the value of operational sensor data to assess the maintenance risk. A GBM estimates the maintenance cost using risk factors known at the contract start. We update this risk assessment based on operational sensor data during the contract. Directions are provided to translate the maintenance risk reassessment into practice. We validate our approach using data from more than 4000 maintenance contracts.We explore the value of using operational sensor data to improve the risk assessment of service contracts that cover all maintenance-related costs during a fixed period. An initial estimate of the contract risk is determined by predicting the maintenance costs via a gradient-boosting machine based on the machine’s and contract’s characteristics observable at the onset of the contract period. We then periodically update this risk assessment based on operational sensor data observed throughout the contract period. These sensor data reveal operational machine usage that drives the maintenance risk. We validate our approach on a portfolio of about 4,000 full-service contracts of industrial equipment and show how dynamic sensor data improves risk differentiation
Market value of R&D, patents, and CEO characteristics
No full textThe contribution of knowledge capital to firm value has increased significantly, from 25% in the 1970s to 45% in the 2010s (Belo et al. in Decomposing firm value J Financ Econ 143:619–639, 2022). However, what influences firms’ ability to maximize the effect of knowledge capital on firm value? Drawing on insights from upper echelons, agency, and behavioral agency theories, we show that CEO characteristics are crucial in enabling firms to take advantage of knowledge stock. We empirically demonstrate that short-term CEO compensation structures are detrimental to a firm’s ability to take advantage of its knowledge stock. We further show that CEO power enhances knowledge stock and R&D intensity. Our study provides direct empirical evidence of the importance of CEO compensation structure and corporate governance in understanding firm value in a knowledge economy.This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors
Advanced therapy medicinal products are coming of age: A pipeline analysis of the clinical trial landscape
No full textAdvanced therapy medicinal products (ATMPs) are a unique class of biological medicines that are based on cells, genes, or tissues. Searching four databases, this analysis identified 2008 trials that investigated ATMPs and characterised them according to various characteristics, such as the sponsor type and phase of clinical development. This characterisation revealed that the market for ATMPs is maturing in terms of the number of products in development, the diseases being targeted, and the technologies being pursued. This characterisation is meant to help further the discussion on the ever-growing clinical trial landscape of ATMPs and inform healthcare payers.(European Commission, KU Leuven
Conflict management 101: how emotional intelligence can make or break a manager
No full textPurpose Previous research suggests that emotional intelligence (EI) may benefit managers when resolving conflicts. However, past studies relied on self-reports of EI and conflict management styles, and a theoretical model explaining the mechanisms of the link between EI and conflict management outcomes for managers is still missing. This study aims to test a theoretical model proposing that during conflicts, managers with higher performance-based ability EI are perceived as warmer and more competent, which in turn contributes to higher conflict management effectiveness. Design/methodology/approach A total of 108 Executive MBA students with managerial experience completed a performance-based EI test designed for the workplace and engaged in a conflict management exercise during which they were videotaped. In the exercise, managers spontaneously responded to video-based vignettes in which “employees” addressed them regarding a work-related conflict (e.g. a disagreement regarding tasks and working hours). Independent observers ( n = 262) rated the managers’ videotaped responses on items tapping warmth, competence and conflict management effectiveness. Findings Managers with higher performance-based EI (in particular, emotion regulation in oneself and emotion management in others) received higher observer ratings on warmth, competence and conflict management effectiveness. Warmth and competence fully mediated the link between EI and effectiveness. Originality/value These results demonstrate that managers’ performance-based EI translates into actual work-related behaviors and outcomes. Implications for training EI and effective conflict management are discussed
2025 M&A Monitor. Shedding light on M&A in Belgium
No full textIn 2024, the Belgian mergers and acquisitions market remained stable overall, albeit still at historic low levels. Larger transactions did experience a negative trend. Financial buyers also found it more difficult to close deals, with private equity firms encountering problems on the exit side. Valuations remained stable, with the exception of major deals, where prices saw a slight increase. There are clear regional price disparities, with Walloon companies receiving lower valuations than their Flemish counterparts. The gap between initial offers and seller expectations also appears to be significant. Finally, warranty and indemnity insurance was used significantly more often in the medium-sized segment