Recent Submissions

  • Zingeving als rode draad door het talentmanagement

    Vandenbroucke, Astrid (HR Magazine, 2020)
    Hoe manage je talent in een cultuur die het team centraal stelt en gekenmerkt wordt door dynamische netwerken en veel zelfsturing? Vlerick Business School onderzocht hoe bedrijven dat doen die resoluut kozen voor een agile aanpak. In dit eerste deeltje gaat het over het aspect zingeving.
  • Performance- & rewardmanagement in een agile omgeving

    Vandenbroucke, Astrid (HR Magazine, 2020)
    Vanuit de nood om flexibeler en wendbaarder in te spelen op de klant, groeit de belangstelling voor het zogenaamde agile werken. Vlerick Business School onderzocht hoe een aantal bedrijven die aanpak vertalen naar performance- en rewardmanagement.
  • Meer betrokkenheid via autonomie

    Pfisterer, Matthias (HR Magazine, 2020)
    Organisaties moeten hun medewerkers betrekken bij de strategie en hen autonomie geven bij de uitvoering ervan. Dat leidt tot meer proactieve betrokkenheid, aldus het onderzoek van Matthias Pfisterer.
  • Wendbaarheid, een moeilijk te vatten prioriteit

    Buyens, Dirk (HR Magazine, 2019)
    'Agility' (wendbaarheid) wint sterk aan belangstelling in hr-middens. Het staat in de top-10 van de hr-prioriteiten van onze grootste profitbedrijven. Tegelijk hebben diezelfde hr-afdelingen het fenomeen niet zo goed onder controle.
  • HR prioriteiten in 2019

    Buyens, Dirk (HR Magazine, 2019)
    'Selecteren en rekruteren' staat met wat voorsprong bovenaan de agenda van HR in België. Verder in hun top 5 noemen de hr-afdelingen van onze grootste bedrijven 'betrokkenheid', 'leiderschapsontwikkeling', 'talent management' en 'employer branding'.
  • The impact of internal corporate social responsibility on organizational commitment: evidence from Vietnamese service firms

    Thang, Nguyen Ngoc; Fassin, Yves (Journal of Asia-Pacific Business, 2017)
    This study examines the relationship between internal corporate social responsibility (CSR) and organizational commitment in the service sector in Vietnam. Results from a survey of 256 employees indicate that internal CSR has a positive and significant correlation with organizational commitment. More specifically, labor relations, health and safety, and training and education had a significant effect on organizational commitment whereas work–life balance and social dialogue have no significant association with organizational commitment. The authors also provide implications, limitations, and recommendations for future research.
  • Project recovery: Project failures and how to get rid of them

    De Bruyne, Marie-Julie; Moens, Eva; Vanhoucke, Mario (The Journal of Modern Project Management, 2021)
    Since the 1960s, project success has been receiving much interest from both academics and practitioners. Despite these efforts, project failure is still a recurring and prevalent phenomenon. In both peer-reviewed and non-peer-reviewed project management literature, a great deal of studies generates lists of success factors and failure causes. Few studies, however,investigate concrete recovery strategies to bring failing projects back on track. The present article, therefore, draws upon the literature on critical success factors and project recovery frameworks to construct an eight-step action plan that helps in recovering from project failure. The recovery action plan was awarded the University Contest by PMI Belgium in 2019.
  • Essential skills for data-driven project management: A classroom teaching experiment

    Servranckx, Tom; Vanhoucke, Mario (The Journal of Modern Project Management, 2021)
    We investigate the performance of students in a Data-driven Project Management course module that consists of several realistic case studies derived from the book “The data-driven project manager: A statistical battle against project obstacles” (Vanhoucke 2018). Based on case study evaluations, we monitor the students’ level for various technical and non-technical skills. We identify and classify seven project management skills in management literature and, subsequently, we statistically investigate the link between these skills and the student performance during the course module. Also, a model to incorporate these skills in the Dynamic Scheduling framework is proposed and validated using Structural Equation Modeling. The results indicate that planning is key for good risk analysis and project control, and show that both types of skills are important for successful project management.
  • Deep reinforcement learning for inventory control: a Roadmap

    Boute, Robert; Gijsbrechts, Joren; van Jaarsveld, Willem; Vanvuchelen, Nathalie (European Journal of Operational Research, 2021)
    Deep reinforcement learning (DRL) has shown great potential for sequential decision-making, including early developments in inventory control. Yet, the abundance of choices that come with designing a DRL algo-rithm, combined with the intense computational effort to tune and evaluate each choice, may hamper their application in practice. This paper describes the key design choices of DRL algorithms to facilitate their implementation in inventory control. We also shed light on possible future research avenues that may elevate the current state-of-the-art of DRL applications for inventory control and broaden their scope by leveraging and improving on the structural policy insights within inventory research. Our discussion and roadmap may also spur future research in other domains within operations management.
  • Using earned value management and schedule risk analysis with resource constraints for project control

    Song, Jie; Martens, Annelies; Vanhoucke, Mario (European Journal of Operational Research, 2021)
    The main goal of project control is to measure the actual project progress such that the deviations from the plan can be identified and corrective actions can be taken to bring the project back on track. However, in resource-constrained projects, disrupted activities affect their successors due to precedence relations and the other activities due to resource constraints, both of which will result in deviations during project progress. Since the project control approaches solely focus on the deviations based on the network analysis, they do not accurately reflect the progress of resource-constrained projects. This paper extends project control approaches for resource-constrained projects to measure and evaluate whether the project progress is acceptable. Moreover, we design three scenarios considering possible resource conflicts to take corrective actions when needed. In the computational experiment, this project control process is applied to a large set of projects with different characteristics and further validated on real-life project data. The results show that the proposed scenarios and different project control approaches are efficient and reliable, but their use depends on project network structure and resource scarceness.
  • Compelling parties to mediate: Recipe for success or slippery slope?

    Jordaan, Barney (Tijdschrift Conflicthantering, 2017)
  • Generalized multi-scale stochastic reservoir Opportunity Index for enhanced well placement optimization under uncertainty in green and brownfields

    Vaseghi, Forough; Ahmadi, Mohammad; Sharifi, Mohammad; Vanhoucke, Mario (Oil & Gas Science and Technology, 2021)
    Well placement planning is one of the challenging issues in any field development plan. Reservoir engineers always confront the problem that which point of the field should be drilled to achieve the highest recovery factor and/or maximum sweep efficiency. In this paper, we use Reservoir Opportunity Index (ROI) as a spatial measure of productivity potential for greenfields, which hybridizes the reservoir static properties, and for brownfields, ROI is replaced by Dynamic Measure (DM), which takes into account the current dynamic properties in addition to static properties. The purpose of using these criteria is to diminish the search region of optimization algorithms and as a consequence, reduce the computational time and cost of optimization, which are the main challenges in well placement optimization problems. However, considering the significant subsurface uncertainty, a probabilistic definition of ROI (SROI) or DM (SDM) is needed, since there exists an infinite number of possible distribution maps of static and/or dynamic properties. To build SROI or SDM maps, the k-means clustering technique is used to extract a limited number of characteristic realizations that can reasonably span the uncertainties. In addition, to determine the optimum number of clustered realizations, Higher-Order Singular Value Decomposition (HOSVD) method is applied which can also compress the data for large models in a lower-dimensional space. Additionally, we introduce the multiscale spatial density of ROI or DM (D2ROI and D2DM), which can distinguish between regions of high SROI (or SDM) in arbitrary neighborhood windows from the local SROI (or SDM) maxima with low values in the vicinity. Generally, we develop and implement a new systematic approach for well placement optimization for both green and brownfields on a synthetic reservoir model. This approach relies on the utilization of multi-scale maps of SROI and SDM to improve the initial guess for optimization algorithm. Narrowing down the search region for optimization algorithm can substantially speed up the convergence and hence the computational cost would be reduced by a factor of 4.
  • Equity crowdfunders’ human capital and signal set formation evidence from eye tracking

    Buttice, V.; Collewaert, Veroniek; Stroe, S.; Vanacker, Tom; Vismara, S.; Walthoff-Borm, X. (2021)
    Signaling theory typically assumes that attention is always given to observable signals. We study signal receivers’ formation of signal sets—the signals to which receivers attend and that they can use for subsequent interpretations. Drawing on a cognitive perspective, we argue that signal receivers’ human capital influences the volume and type of signals they attend to and the time they take to form signal sets. Using eye tracking, we show that equity crowdfunders do not attend to many signals that are easily observable on a campaign page, and that differences in crowdfunders’ human capital uniquely affect their signal set formation.
  • The value of installed base information for spare part inventory control

    Van der Auweraer, Sarah; Zhu, Sha; Boute, Robert (International Journal of Production Economics, 2021)
    This paper analyzes the value of different sources of installed base information for spare part demand forecasting and inventory control. The installed base is defined as the set of products (or machines) in use where the part is installed. Information on the number of products still in use, the age of the products, the age of their parts, as well as the part reliability may indicate when a part will fail and trigger a demand for a new spare part. The current literature is unclear which of this installed base information adds most value – and should thus be collected – for inventory control purposes. For this reason, we evaluate the inventory performance of eight methods that include different sets of installed base information in their demand forecasts. Using a comparative simulation study we identify that knowing the size of the active installed base is most valuable, especially when the installed base changes over time. We also find that when a failure-based prediction model is used, it is important to work with the part age itself, rather than the machine age. When one is not able to collect information on the part age, a logistic regression on the machine age might be a valuable alternative to a failure-based prediction model. Our findings may support the prioritization of data collection for spare part demand forecasting and inventory control.
  • An analysis of network and resource indicators for resource-constrained project scheduling problem instances

    Vanhoucke, Mario; Coelho, José (Computers & Operations Research, 2021)
    In the past decades, the resource on the resource-constrained project scheduling problem (RCPSP) has grown rapidly, resulting in an overwhelming amount of solution procedures that provide (near)-optimal solutions in a reasonable time. Despite the rapid progress, little is still known what makes a project instance hard to solve. Inspired by a previous research study that has shown that even small instances with only up to 30 activities is sometimes hard to solve, the current study provides an analysis of the project data used in the academic literature. More precisely, it investigates the ability of four well-known resource indicators to predict the hardness of an RCPSP instance. The study introduces a new instance equivalence concept to show that instances might have very different values for their resource indicators without changing any possible solution for this instance. The concept is based on four theorems and a search algorithm that transforms existing instances into new equivalent instances with more compact resources. This algorithm illustrates that the use of resource indicators to predict the hardness of an instance is sometimes misleading. In a set of computational experiment on more than 10,000 instances, it is shown that the newly constructed equivalent instances have values for the resource indicators that are not only different than the values of the original instances, but also often are better in predicting the hardness the project instances. It is suggested that the new equivalent instances are used for further research to compare results on the new instances with results obtained from the original dataset.
  • Neue Technologien im öffentlichen Sektor: Bürgerinnen und Bürger haben nur geringe Erwartungen

    Fischer, Caroline; Willems, Jurgen; Van den Bergh, Joachim (VM Verwaltung & Management, 2021)
    Aktuelle technologische Entwicklungen (z.B. künstliche Intelligenz) führen immer wieder zu Debatten, wie diese sinnvoll für die öffentliche Verwaltung genutzt werden können. Die Verwaltung selbst und entsprechende Expertinnen und Experten diskutieren mögliche positive Wirkungen auch in Bezug auf Werte, wie Effizienz, Transparenz oder Fairness. Diese Studie untersucht, ob Bürgerinnen und Bürger von der Anwendung dieser Technologien in der öffentlichen Verwaltung ebensolche Wirkungen ebenso erwarten. Dabei wird auch analysiert, ob eine andere Erwartungshaltung als bei gewinnorientierten Unternehmen besteht. Die Befragungsergebnisse (N=1.577) zeigen, dass weder negative noch positive Erwartungen in Bezug auf Wirkungen dieser Technologien bestehen, das gilt für öffentliche wie für die privatwirtschaftliche Leistungserbringung. Es wird diskutiert, ob die Ergebnisse in der bisher mangelnden Anwendung der untersuchten Technologien begründet liegen oder aus einer unzureichenden Kommunikation mit und Einbindung von Bürgerinnen und Bürgern in entsprechende Planungs- und Implementationsprozesse resultieren.
  • Sailing on a sea of uncertainty: Reflections on operational resilience in the 21st century

    Ashby, Simon (The CAPCO Institute Journal of Financial Transformation, 2021)
    This paper reflects on operational resilience in the 21st century world of transboundary crises. Transboundary crises cross borders, including geographic and organizational boundaries and beyond. In so doing, transboundary crises can have surprising, even unique, consequences, atypical in both their nature and severity. In the case of COVID-19, the crisis spread rapidly from the biological world into politics, markets, and operations/supply chains, almost stopping the beating heart of our global economy. This paper proposes a capability-based framework for thinking about operational resilience in the face of transboundary crises. This framework incorporates formal and informal elements, along with a combination of pre-crisis planning and in-crisis adaptation. The idea is to maintain flexibility, while avoiding unstructured chaos. The case of Texan supermarket chain H-E-B is used to illustrate the framework. Though not from the financial services sector, there is much that financial organizations can learn from its example.
  • Acquisitions: a curse or blessing for direct competitors? The impact of target ownership structure  

    Mataigne, Virginie; Luypaert, Mathieu; Manigart, Sophie (Journal of Corporate Finance, 2021)
    This study examines the impact of horizontal acquisition announcements on the value of direct competitors of the combined entity. We argue that the ownership structure of the target drives competitor wealth effects. First, the stronger disciplining force of the market for corporate control for public firms compared to private firms will lead to higher competitive pressure post-acquisition when a public firm is acquired, leading to more negative valuation effects of direct competitors. Second, acquisitions of subsidiary targets, compared to stand-alone targets, are expected to lead to stronger asset utilization improvements in the target, leading to more negative competitor returns. A unique hand-collected sample of 1,038 direct competitors of 228 horizontal acquisitions in Europe empirically supports these hypotheses. Alternative explanations, such as information asymmetry or empire-building, are rejected.
  • North meets South: A call for inclusive global research

    Boros, Smaranda; Bosch, Anita; Shymko, Yuliya (Global Focus. The EFMD Business Magazine, 2020)
    The COVID-19 pandemic is emphasising the extent of inequalities, both between and within societies. In the dynamics between nations, these inequalities revolve around the reliance on international funding bodies for humanitarian aid — and what happens when these big funders withdraw their support.

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