Now showing items 1-20 of 6322

    • Distressed M&A and the role of m&a in corporate restructuring

      Bruyland, Evy (2013)
      The global financial and economic crisis have led to a moderation in global M&A activity. The large M&A deals have disappeared and deal volume has fallen. Nonetheless, M&A remains a core part of business growth. Firms continue to look for acquisitions that allow them to capture a new customer base, technologies and products, access new markets and increase market share. While some years ago the M&A market was characterized by growing firms with a healthy track record, transactions involving distressed firms are increasing. Many investors, managers, advisors and academics are familiar with traditional mergers and acquisitions but little is known about distress-related M&A. However the surge in restructurings and failures has marked the M&A landscape and triggered a growing interest in these type of transactions. The practitioner-oriented and academic literature provide us with some insights but the risks and benefits of such transactions remain largely ambiguous. The goal of this dissertation is to increase our understanding of transactions involving troubled firms.
    • Digital transformation know how. Connecting digital transformation, agility and leadership

      Viaene, Stijn (2020)
      In recent years, digital development has accelerated and digital turbulence is the new normal. So, it’s time for a synthesis, time to bring stability to that turbulence: What have we learned? What do we know? What should we no longer have doubts about? Whether you’re a CEO or a dedicated worker, you have an important role to play in your organisation’s digital transformation. But it’s hard when you don’t have a common frame of reference or common language. What’s the big picture? How do things align? How can you contribute? This book offers you a practical perspective on six critical elements of successful digital transformation design: Strategy for the digital age: Digital transformation invests in strengthening the core and growing the more . Customer experience design: Great customer experience emerges from the way you solve your customers’ problems . Data and analytics: Giving data hands and feet is crucial to the success of a digital transformation. Digital partnership strategies: Combinatorial innovation drives digital partnerships, but they still must be earned. Digital transformation leadership: Technology skills are an organisation’s ticket to ride, agility its ticket to heaven . Scaling agility: The paradox involved in scaling agility is introducing fast flexibility and stability at the same time. gility: The paradox involved in scaling agility is introducing fast flexibility and stability at the same time.
    • 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 (Accepted)

      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.
    • Promoting economic and other benefits of transactional mediation: An under-researched and under-utilised process

      Jordaan, Barney (2020)
      This is a book compiling 63 short “think pieces” related to the “Appreciating our Legacy and Engaging the Future: An International Conference for Dispute Resolution Teachers, Scholars, and Leaders” Conference held in June 2019 or were part of the online “Theory-of-Change” Symposium. It is organized in the following sections: reflections on the “Past-and-Future” conference, the big picture, impact and use of technology, legal education, professional training and practice, and research and scholarship. It includes recommendations for development of the dispute resolution field based on the authors’ suggestions.
    • 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.
    • Empty pockets full stomachs: How monetary scarcity and monetary primes lead to caloric desire

      Briers, Barbara; Laporte, Sandra (2010)
      Monetary scarcity and money primes may induce people to desire more calories. This Pavlovian association between money and food appears driven by the instrumental, secondary reinforcer value of money rather than by its primary rewarding qualities: The effect only holds for food choices but does not generalize to nonfood items and is not moderated by individual sensitivity for reward (study 1). The effect also is restricted to persons who adopt an instrumental value of money (study 2). In addition, merely priming people with money can lead to caloric desire, but this effect disappears with monetary satiation (study 3). In line with the value heuristic, people lacking money or those primed with money perceive food items as less caloric because they value calories more. Accordingly, they prefer bigger portions.
    • 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 (Published Online)

      Oosterlinck, Dries; Benoit, Dries F.; Baecke, Philippe (European Journal of Operational Research, 2019)
      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.
    • How online labor platforms transform talent management

      Rogiers, Philip; Viaene, Stijn; Leysen, J. (2019)
    • Five years of the Vlerick Energy Centre. An overview of results and lessons learned

      Broeckx, Saskia; Meeus, Leonardo (2019)
      An overview of results and lessons learned from five years of the Vlerick Energy Centre. Energy concerns all of us. Being intertwined with the debate on decarbonisation and climate change, energy is a potentially hot topic. Two extreme positions have attracted significant media coverage during the past year. At one end of the spectrum are those people who feel the transition cannot happen fast enough, engaging in climate protests inspired by Greta Thunberg. At the other end are the Gilets Jaunes, applying the brakes because they believe, on the contrary, that things are moving too fast and life has become too expensive.
    • Creating high-trust cultures - what can we learn from Belgium's best workplaces

      Meulemans, Silke; Van Bruystegem, Kristien (2019)
      What can we learn from Belgium’s Best Workplaces™ when it comes to people practices? Organisations are reinventing themselves to keep pace with the challenges of this fluid, unpredictable world. Both local and global markets are transforming continuously, and new digital technologies and business models are causing a significant level of disruption. Enterprises are being forced to rethink their existing structures and to continuously improve themselves.
    • 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.