Recent Submissions

  • Use of proximal policy optimization for the joint replenishment problem (Accepted)

    Vanvuchelen, Nathalie; Gijsbrechts, Joren; Boute, Robert (Computers in Industry, 2020)
    Deep reinforcement learning has been coined as a promising research avenue to solve sequential decision making problems, especially if few is known about the optimal policy structure. We apply the proximal policy optimization algorithm to the intractable joint replenishment problem. We demonstrate how the algorithm approaches the optimal policy structure and outperforms two other heuristics. Its deployment in supply chain control towers can orchestrate and facilitate collaborative shipping in the Physical Internet.
  • Business value through controlled IT: Toward an integrated model of IT governance success and its impact

    Buchwald, Arne; Urbach, Nils; Ahlemann, Frederik (Journal of Information Technology, 2014)
    Owing to increasing regulatory pressure and the need for aligned information technology (IT) decisions at the interface of business and IT, IT governance (ITG) has become important in both academia and practice. However, knowledge of integrating the determinants and consequences of ITG success remains scarce. Although some studies investigate individual aspects of ITG success and its impact, none combine these factors into a comprehensive and integrated model that would lead to a more complete understanding of the ITG concept. To address this gap, our research aims at understanding what factors influence and result from successful ITG, and at determining how they can be translated into a model to explain ITG success and the impact thereof. Therefore, we conducted interviews with 28 IT decision makers in 19 multinational organizations headquartered in Europe. Our study synthesizes the fragmented previous research, provides new empirical insights gathered on the basis of a clear ITG conceptualization, and suggests three innovative constructs heretofore not related to ITG. Moreover, we elucidate in a holistic model the factors that make ITG successful, how ITG contributes to an IT organization’s success, and how it eventually unfolds throughout the overall organization. The resulting model allows organizational decision makers to develop an effective ITG implementation and to explain the implications of successful ITG, thus providing a justification for the respective investments.
  • Implikationen von inoffiziellen Projekten für die IT-Governance

    Buchwald, Arne; Urbach, Nils (HMD Praxis der Wirtschaftsinformatik, 2014)
    Aus der IT-Governance-Perspektive ist eine zentrale Aufgabe des Projektportfoliomanagements sicherzustellen, dass offizielle Projekte auf die ihnen zugewiesenen Ressourcen zugreifen können. In der Praxis ist dabei zu beobachten, dass Mitarbeiter, die laut offiziellen Planungen für ein bestimmtes Projektvorhaben vollständig verfügbar sein sollten, tatsächlich mit anderen Vorhaben beschäftigt und somit nicht in angenommenem Umfang verfügbar sind. Als zentrale Ursache wird das Auftreten inoffizieller Projekte angeführt. Dieser Fachartikel beschreibt die ersten Zwischenergebnisse einer Fallstudienforschung mit dem Ziel der Untersuchung, welche spezifischen Typen von inoffiziellen Projekten in den untersuchten Unternehmen auftreten und welche zentralen Treiber die Entstehung dieser Projekttypen beeinflussen. Darauf aufbauend werden die Implikationen für die Ausgestaltung der IT-Governance diskutiert und Handlungsempfehlungen für das strategische IT-Management abgeleitet.
  • IT-Governance als ganzheitlicher Rahmen für die Steuerung der Unternehmens-IT

    Urbach, Nils; Buchwald, Arne; Gschwendtner, Michael (Wirtschaftsinformatik & Management, 2013)
    Das Themengebiet IT-Governance ist in den letzten Jahren insbesondere im Zusammenhang mit den Diskussionen über die Geschäftsorientierung der IT in den Blickpunkt geraten. Der Begriff IT-Governance wird von einer Vielzahl von Parteien reklamiert, die sich mit den unterschiedlichsten Aspekten von IT in Unternehmen befassen. Dazu gehören neben unternehmensinternen IT-Verantwortlichen beispielsweise Unternehmensberater, Auditoren und Hersteller von IT-Tools [1]. Die Auffassungen über die Ziele, Inhalte und Verantwortlichkeiten von IT-Governance erscheinen dabei in der Unternehmenspraxis jedoch ebenso uneinheitlich und vielschichtig wie in der einschlägigen Literatur.
  • IT-Outsourcing ist kein Selbstläufer

    Buchwald, Arne; Urbach, Nils; Würz, Tobias (Wirtschaftsinformatik & Management, 2014)
    Obwohl Unternehmen und IT-Dienstleister mit der Auslagerung von IT-Aufgaben mittlerweile jahrzehntelang Erfahrung gesammelt haben, ist die erfolgreiche Umsetzung von IT-Outsourcing-Vorhaben nach wie vor kein Selbstläufer. So ist in der Praxis auch 25 Jahre nach dem ersten größeren IT-Outsourcing weiterhin eine hohe Erfolgsvarianz zu beobachten.
  • Outsourcing: Wie man seine Ziele erreicht

    Buchwald, Arne; Urbach, Nils; Würz, Tobias (Computerworld, 2015)
    Beim Auslagern von IT-Dienstleistungen kann man viel falsch machen. Wenn die Ziele nicht erreicht werden, liegen die Gründe weniger in der gewählten Strategie als vielmehr in der operativen Umsetzung.
  • 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.
  • Is venture capital socially responsible? Exploring the imprinting effect of VC funding on CSR practices (Published Online)

    Alakent, Ekin; Goktan, Sinan M.; Khoury, Theodore Andrew (Journal of Business Venturing, 2020)
    We study how corporate social responsibility (CSR) is guided by ownership history, specifically whether a company receives venture capital (VC) funding or not. We argue that companies that receive VC funding are less likely to adopt CSR practices due to unique VC imprinting and that temporal and investment orientation moderate this relationship. We find that VC-backed companies have poorer CSR records, which do improve over time, but at a comparatively slower rate than non-VC-backed companies. However, when VC-backed companies receive funding from VC firms that have a responsible investment orientation and a broader stakeholder view, their CSR records are significantly better. This study contributes to our understanding of imprinting boundaries and related repercussions in stakeholder management strategies.
  • Too much love will kill you: The development and function of group emotional awareness

    Boros, Smaranda; Vîrgă, Delia (Team Performance Management, 2020)
    This paper aims to enhance clarity for the conceptualization and measurement of group emotional awareness by defining it as an emergent state. The authors explore the emergence of this state through two studies designed to explore the four characteristics (global, radically novel, coherent and ostensive) of emergent phenomena (Waller et al., 2016).
  • The welfare and price effects of sector coupling with power-to-gas (Published Online)

    Roach, Martin; Meeus, Leonardo (Energy Economics, 2020)
    Electricity markets with high installed capacities of Variable Renewable Energy Sources (VRES) experience periods of supply and demand mismatch, resulting in near-zero and even negative prices, or energy spilling due to surplus. The participation of emerging Power-to-X solutions in a sector coupling paradigm, such as Power-to-Gas (PTG), has been envisioned to provide a source of demand flexibility to the power sector and decarbonize the gas sector. We advance a long-run equilibrium model to study the PTG investment decision from the point of view of a perfectly competitive electricity and gas system where each sector's market is cleared separately but coupled by PTG. Under scenarios combining PTG technology costs and electricity RES targets, we study whether or not there is a convergence in the optimal deployment of PTG capacity and what is the welfare distribution across both sectors. We observe that PTG can play an important price-setting role in the electricity market, but PTG revenues from arbitrage opportunities erodes as more PTG capacity is installed. We find that the electricity and gas sector have aligned incentives to cooperate around PTG, and instead find an issue of misaligned incentives related to the PTG actor. Although not the focus of our analysis, in some scenarios we find that the welfare optimal PTG capacity results in a loss for the PTG actor, which reveals some intuition that subsidizing PTG can make sense to reduce the cost of RES subsidies. Sensitivity analyses are conducted to contextualize these findings for system specificities.
  • Controversy without conflict: How group emotional awareness and regulation can prevent conflict escalation (Published Online)

    Boros, Smaranda (Group Decision and Negotiation, 2020)
    We investigate whether group emotional awareness can prevent the escalation of controversy into conflict in project teams. We propose that group emotional awareness mitigates the impact of initial task conflicts on the development of group emotion regulation. This, in turn, prevents the escalation of task into relationship conflicts. We test our proposed model through a longitudinal design on project teams over the duration of a 3-month project, from the onset of their work together till the completion of the project. Group emotional awareness mitigates the impact of high levels of initial task conflict on the development of emotion regulation: the latter lacks conditions to develop when group emotional awareness is low and groups experience task conflict and can only develop under high emotional awareness conditions. Once in place, group emotional regulation reduces the likelihood of task conflicts escalating to relationship conflicts.
  • Multi-mode schedule optimisation for incentivised projects

    Kerkhove, Louis-Philippe; Vanhoucke, Mario (Computers and Industrial Engineering, 2020)
    This research presents a novel quantitative methodology to optimise the scheduling of subcontracted projects from the perspective of the contractor. Specifically, the scenario where the contractor’s remuneration is performance dependent is investigated. Based on the incentive methodology introduced by Kerkhove and Vanhoucke (2016), a novel mixed integer programming formulation as well as a greedy local search heuristic to solve the contractor’s problem are presented and tested in a computational experiment. For this experiment, a database containing 3,150 contract-project combinations with diverse structures has been created. The results from this experiment demonstrate the efficiency of the MIP formulation even for larger problem instances, as well as the influence of the project and contract structure on the contractor’s earnings.
  • Private equity firms' role as agents and the resolution of financial distress in buyouts (Accepted)

    Meuleman, Miguel; Wilson, N.; Wright, M.; Neckebrouck, Jeroen (Journal of Small Business Management, 2020)
  • Forecasting the project duration average and standard deviation from deterministic schedule information

    Ballesteros-Pérez, Pablo; Cerezo-Narváez, Alberto; Otero-Mateo, Manuel; Pastor-Fernández, Andrés; Zhang, Jingxiao; Vanhoucke, Mario (Applied Sciences, 2020)
    Most construction managers use deterministic scheduling techniques to plan construction projects and estimate their duration. However, deterministic techniques are known to underestimate the project duration. Alternative methods, such as Stochastic Network Analysis, have rarely been adopted in practical contexts as they are commonly computer-intensive, require extensive historical information, have limited contextual/local validity and/or require skills most practitioners have not been trained for. In this paper, we propose some mathematical expressions to approximate the average and the standard deviation of a project duration from basic deterministic schedule information. The expressions’ performance is successfully tested in a 4100-network dataset with varied activity durations and activity durations variability. Calculations are quite straightforward and can be implemented manually. Furthermore, unlike the Project Evaluation and Review Technique (PERT), they allow drawing inferences about the probability of project duration in the presence of several critical and subcritical paths with minimal additional calculation.
  • Patient-level effectiveness prediction modeling for glioblastoma using classification trees

    Geldof, Tine; Van Damme, Nancy; Huys, Isabelle; Van Dyck, Walter (Frontiers in Pharmacology, 2020)
    Little research has been done in pharmacoepidemiology on the use of machine learning for exploring medicinal treatment effectiveness in oncology. Therefore, the aim of this study was to explore the added value of machine learning methods to investigate individual treatment responses for glioblastoma patients treated with temozolomide.
  • Nearest neighbour propensity score matching and bootstrapping for estimating binary patient response in oncology: A Monte Carlo simulation

    Geldof, Tine; Dusan, Popovic; Van Damme, Nancy; Huys, Isabelle; Van Dyck, Walter (Scientific Reports: A Nature Research Journal, 2020)
  • A 2020 perspective on the building of online trust in e-business relationships (Accepted)

    Stouthuysen, Kristof (Electronic Commerce Research and Applications, 2020)
    Perhaps the most important trend we observe in an increasing digitalized landscape, is that the internet technology allows organizations and individuals to interact across the globe. More and more organizations, both start-ups and more mature ones, ranging from retail to healthcare to energy, from public to private institutions are aware about the possibilities of extending their services outside their walled offices and physical points of contacts. E-consumers also seem more satisfied with the possibility to interact and transact with organizations without the constraints of time and space.
  • From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour

    Oosterlinck, Dries; Benoit, Dries F.; Baecke, Philippe (European Journal of Operational Research, 2020)
    One-class classification is the standard procedure for novelty detection. Novelty detection aims to identify observations that deviate from a determined normal behaviour. Only instances of one class are known, whereas so called novelties are unlabelled. Traditional novelty detection applies methods from the field of outlier detection. These standard one-class classification approaches have limited performance in many real business cases. The traditional techniques are mainly developed for industrial problems such as machine condition monitoring. When applying these to human behaviour, the performance drops significantly. This paper proposes a method that improves existing approaches by creating semi-synthetic novelties in order to have labelled data for the two classes. Expert knowledge is incorporated in the initial phase of this data generation process. The method was deployed on a real-life test case where the goal was to detect fraudulent subscriptions to a telecom family plan. This research demonstrates that the two-class expert model outperforms a one-class model on the semi-synthetic dataset. In a next step the model was validated on a real dataset. A fraud detection team of the company manually checked the top predicted novelties. The results show that incorporating expert knowledge to transform a one-class problem into a two-class problem is a valuable method.
  • De zorgkostenstructuur kan veel scherper

    Roodhooft, Filip (Management Scope, 2019)
    Zorginstellingen kunnen bijdragen aan het tegengaan van stijgende zorgkosten. Feit is dat bijdragen vanuit overheid en verzekeraars niet veel zullen en kunnen stijgen: de grens is wat dat betreft bereikt. Filip Roodhooft van Vlerick Business School pleit voor slimme oplossingen in de zorg.
  • The risk implications of diversification: Integrating the effects of product and geographic diversification (Published Online)

    Mammen, Jan; Alessandri, Todd; Weiss, Martin (Long Range Planning, 2019)
    The risk implications of product diversification have received considerable attention from scholars. However, our understanding of the effects of geographic diversification on risk is more limited. Relying on resource-based theory to frame our arguments, we argue that despite some similarities, the two types of diversification have differing effects on firm risk. We first establish the risk reducing effects for product diversification. We then integrate the unique aspects of geographic diversification that serve as a boundary condition to the RBV perspective, arguing for the risk increasing effects of geographic diversification. Finally, since many firms pursue both forms of diversification simultaneously, we explore the joint effects of both product and geographic diversification. We test our hypotheses in a longitudinal model on a sample of S&P 500 firms. Our findings suggest that total product diversification, as well as related diversification reduce risk, while total geographic diversification increases risk. Furthermore, our data provide evidence of a complex combination of joint effects of these two forms of diversification. These findings offer a more complete understanding of the risk effects of corporate diversification.

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