• Quality and pricing decisions in production/inventory systems

      Jalali, Hamed; Raïsa, Carmen; Van Nieuwenhuyse, Inneke; Boute, Robert (European Journal of Operational Research, 2019)
      In this article, we consider the impact of finite production capacity on the optimal quality and pricing decisions of a make-to-stock manufacturer. Products are differentiated along a quality index; depending on the price and quality levels of the products offered, customers decide to either buy a given product, or not to buy at all. We show that, assuming fixed exogenous lead times and normally distributed product demands, the optimal solution has a simple structure (this is referred to as the load-independent system). Using numerical experiments, we show that with limited production capacity (which implies load-dependent lead times) the manufacturer may have an incentive to limit the quality offered to customers, and to decrease market coverage, especially in settings where higher product quality leads to higher congestion in production. Our findings reveal that the simple solution assuming load-independent lead times is suboptimal, resulting in a profit loss; yet, this profit loss can be mitigated by constraining the system utilization when deciding on quality and price levels. Our results highlight the importance of the relationship between marketing decisions and load-dependent production lead times.
    • Quantile-based inference for tempered stable distributions

      Fabozzi, Frank; Fallahgoul, Hassan; Veredas, David (Computational Economics, 2019)
      If the closed-form formula for the probability density function is not available, implementing the maximum likelihood estimation is challenging. We introduce a simple, fast, and accurate way for the estimation of numerous distributions that belong to the class of tempered stable probability distributions. Estimation is based on the Method of Simulated Quantiles (Dominicy and Veredas (2013)). MSQ consists of matching empirical and theoretical functions of quantiles that are informative about the parameters of interest. In the Monte Carlo study we show that MSQ is significantly faster than Maximum Likelihood and the estimates are almost as precise as MLE. A Value at Risk study using 13 years of daily returns from 21 world-wide market indexes shows that MSQ estimates provide as good risk assessments as with MLE.
    • Quo vadis BI?

      De Hertogh, Steven; Van den Bunder, Annabel; Viaene, Stijn (Informatie, 2010)
    • R&D cooperation and spillovers: some empirical evidence from Belgium

      Cassiman, Bruno; Veugelers, Reinhilde (American Economic Review, 2002)
    • Radicale technologische innovatie: opportuniteit of bedreiging?

      Buelens, Marc (Vlerick Management Focus, 2004)
    • Rank based testing in linear models with stable errors

      Hallin, Marc; Swan, Yvik; Verdebout, Thomas; Veredas, David (Journal of Nonparametric Statistics, 2011)
    • Rapport in mediation

      Aaldering, H.; Codrington, T.; Jordaan, Barney (Tijdschrift Conflicthantering, 2016)
    • Rating SMEs

      Rikkers, Frieda; Thibeault, André (The Financial Executive Quarterly, 2009)
    • (Re)Testing the follow the customer hypothesis in multinational bank investment

      Paulo Esperanca, José; Gulamhussen, Azzim (Journal of Multinational Financial Management, 2001)
    • Re-framing CSR

      Louche, Céline; Dodd, T. (Reflets et perspectives de la vie économique, 2009)
    • Re-positioning business process management

      Van den Bergh, Joachim; Isik, Öykü; Viaene, Stijn; Helsen, Eddy (BP Trends, 2016)
      In this work we explore the future of BPM as management discipline and identify the key capabilities for process support units to remain meaningful in a world of business transformation. As BPM gets increasingly commoditized, we raise a call for researchers and practitioners in our discipline, to shape a future-proof BPM that is relevant for a business environment that is characterized by exploration, fast-paced change, and digitization. Therefor we propose 5 key capabilities which will help to redefine our current understanding of BPM.
    • Real-world evidence gathering in oncology: The need for a biomedical big data insight-providing federated network

      Geldof, Tine; Huys, Isabelle; Van Dyck, Walter (Frontiers in Medicine, 2019)
      Moving towards new adaptive pathways for the development and access to innovative medicines implies that real-world data (RWD) collected throughout the medicinal product life cycle is becoming increasingly important. Big data analytics on RWD can obtain new and powerful insights into medicines’ effectiveness. However, the healthcare ecosystem still faces many sector-specific challenges that hamper the use of big data analytics delivering real world evidence (RWE). We distinguish between exploratory (ExTE) and hypotheses-evaluating (HETE) studies testing treatment effectiveness in the real world. From our experience and in the context of the four V’s of data management, we show that to get meaningful results data Variety and Veracity are needed regardless of the type of study conducted. More so, for ExTE studies high data Volume is needed while for HETE studies high Velocity becomes essential. Next, we highlight what are needed within the biomedical big data ecosystem, being: (a) international data reusability; (b) real-time RWD processing information systems; and (c) longitudinal RWD. Finally, in an effort to manage the four V’s whilst respecting patient privacy laws we argue for the development of an underlying federated RWD infrastructure on a common data model, capable of bringing the centrally-conducted big data analysis to the de-centrally kept biomedical data.
    • Realizing new regional core competencies: establishing a customer-oriented SME network

      Vanhaverbeke, Wim (Entrepreneurship & Regional Development, 2001)
    • Rebranding as fuel for growth

      Haspeslagh, Philippe (Global Focus: the EFMD Business Magazine, 2012)
      Many companies have introduced the supply chain function in their organisation. Little attention, however, is devoted to the way the supply chain function is organised, e.g. the range of responsibilities it has, the position it occupies in the hierarchy and the skills it requires. The literature on this is scarce. This paper provides initial benchmarking data on company decisions regarding the roles and responsibilities of their supply chain managers and how the various supply chain tasks are coordinated and integrated. Our empirical study in the food, pharmaceutical, and chemical industries shows that differences in supply chain organisational structures are not random. We find that the way the supply chain function is organised seems to depend on the industry and its complexity and, we might speculate, on the strategy of the organisation. By highlighting and trying to explain these differences, we hope to raise top management awareness regarding the structuring options for their supply chain function and the importance of this issue for the organisation.
    • Rebuilding Trust: A challenge for Corporate Governance and Audit

      Van den Berghe, Lutgart; Baelden, Tom (Accountancy en Bedrijfskunde, 2004)
    • A reconfigurable model for implementation in the closing phase of a wind turbines project construction

      Zohrebvandi, Shakib; Vanhoucke, Mario; Soltani, Roya; Javadi, Mehrdad (Engineering, Construction and Architectural Management, 2020)
      The purpose of this paper is to introduce a reconfigurable model that is a combination of a schedule model and a queuing system M/M/m/K to reduce the duration of the wind turbine construction project closure phase and reduce the project documentation waiting time in the queue.
    • Reconstructing nurse schedules: computational insights in the problem size parameters

      Maenhout, Broos; Vanhoucke, Mario (Omega - International Journal of Management Science, 2013)
      Managing nursing personnel properly is of critical importance as these resources comprise a vast share of the hospital's operational costs. The organisational support and the managerial policy decisions on the scheduling level are important determinants for the nurses' working conditions and the related quality of care. In this paper, we gain insights and understanding in the consequences and outcomes of various personnel re-rostering characteristics and strategies. We explore the boundaries of the time horizon and the nurse staffing size to consider for the nurse re-rostering problem based on computational experiments in a real-life problem environment.
    • Recurrent changes in the work environment, job resources and distress among nurses: a comparative cross-sectional survey

      Verhaeghe, Rik; Vlerick, Peter; De Backer, G.; Van Maele, G.; Gemmel, Paul (International Journal of Nursing Studies, 2008)