• Partner selection decisions in interfirm collaborations: The paradox of relational embeddedness

      Meuleman, Miguel; Lockett, Andy; Manigart, Sophie; Wright, Mike (Journal of Management Studies, 2010)
      By combining insights from relational network theory and agency theory we identify the boundary conditions to the embeddedness approach to partner selection decisions in interfirm collaborations. Employing a longitudinal dataset comprising the investment syndicates for the population of UK management buyouts between 1993 and 2003, we find that relational embeddedness is less important for selecting partners when agency risks are low, allowing firms to expand their networks. Furthermore, reputational capital may act as a partial substitute for relational embeddedness, again permitting firms to expand their networks. Our findings enhance understanding of the boundary conditions associated with the relational network approach to partner selections and network behaviour.
    • Patent pools and clearinghouses in the life sciences

      Van Zimmeren, Esther; Vanneste, Sven; Matthijs, Gert; Vanhaverbeke, Wim; Van Overwalle, Geertrui (Trends in Biotechnology, 2011)
    • Patent related indicators for assessing knowledge-generating institutions: towards a contextualised approach

      Van Looy, Bart; Callaert, J.; Debackere, Koenraad; Verbeek, A. (Journal of Technology Transfer, 2003)
    • Path-dependent evolution versus intentional management of investment ties in science-based entrepreneurial firms

      Meuleman, Miguel; Vanacker, Tom; Manigart, Sophie (Entrepreneurship: Theory and Practice, 2014)
      This paper studies the role of entrepreneurs in investment tie formation in science–based entrepreneurial firms. Specifically, we address why investment tie formation is path dependent for some firms but more amenable to intentional management for others. Using longitudinal case studies, our evidence suggests that early investment tie formation is path dependent because scientific entrepreneurs typically approach only one or a few prospective investors from within their institutional context. Differences in experience between early investors affect the professionalization of entrepreneurial teams (or lack thereof), which influences the extent to which subsequent investment tie formation becomes more amenable to intentional management or remains path dependent.
    • Patient co-creation activities in healthcare service delivery at the Micro level: The influence of online access to healthcare information

      Osei-Frimpong, K.; Wilson, A.; Lemke, Fred (Technological forecasting and social change, 2018)
      The healthcare sector has undergone a number of transformations in recent years, partly due to recent advances in technology. This triggered our study to examine patients' desire to seek health information largely driven by increased access via the Internet and the cumulative impacts on value co-creation. We employed a sequential exploratory design involving a phenomenological approach in the qualitative phase, followed by a quantitative survey design to further our understanding of the influence of technology in co-creating value in healthcare at the micro level. Advances in technology have empowered patients to be informed, which enabled them to play an active role in clinical encounters with the doctor. The findings suggest pre-encounter information search impacts positively on improved service engagement and commitment to compliance with medical instructions. It does this by shaping the nature of interactions, enhancing provider-patient orientation, and increasing their involvement in a shared decision-making process. From a theoretical perspective, our study integrates multiple research perspectives (e.g., access to information, online information seeking and knowledge creation, healthcare consultation models, etc.) and extends research on patient integration, participation, and co-creation of value. The conceptualization of value co-creation activities in this study suggests a need for service providers to adopt delivery approaches that would effectively integrate patient resources to co-create value.
    • Patient preferences to assess value in gene therapies: Protocol development for the paving study in Hemophilia

      van Overbeeke, Eline; Hauber, Brett; Michelsen, Sissel; Goldman, Michel; Simoens, Steven; Huys, Isabelle (Frontiers in Medicine, 2021)
      Introduction: Gene therapies are innovative therapies that are increasingly being developed. However, health technology assessment (HTA) and payer decision making on these therapies is impeded by uncertainties, especially regarding long-term outcomes. Through measuring patient preferences regarding gene therapies, the importance of unique elements that go beyond health gain can be quantified and inform value assessments. We designed a study, namely the Patient preferences to Assess Value IN Gene therapies (PAVING) study, that can inform HTA and payers by investigating trade-offs that adult Belgian hemophilia A and B patients are willing to make when asked to choose between a standard of care and gene therapy. Methods and Analysis: An eight-step approach was taken to establish the protocol for this study: (1) stated preference method selection, (2) initial attributes identification, (3) stakeholder (HTA and payer) needs identification, (4) patient relevant attributes and information needs identification, (5) level identification and choice task construction, (6) educational tool design, (7) survey integration, and (8) piloting and pretesting. In the end, a threshold technique survey was designed using the attributes "Annual bleeding rate," "Chance to stop prophylaxis," "Time that side effects have been studied," and "Quality of Life." Ethics and Dissemination: The Medical Ethics Committee of UZ KU Leuven/Research approved the study. Results from the study will be presented to stakeholders and patients at conferences and in peer-reviewed journals. We hope that results from the PAVING study can inform decision makers on the acceptability of uncertainties and the value of gene therapies to patients.
    • 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.
    • Patients' perceptions of service quality and patient satisfaction in nuclear medicine

      De Man, Stefanie; Gemmel, Paul; Vlerick, Peter; Van Rijk, P.; Dierckx, Rudi (European Journal of Nuclear Medicine, 2002)
    • Payment models and net present value optimization for resourceconstrained project scheduling

      Leyman, Pieter; Vanhoucke, Mario (Computers and Industrial Engineering, 2016)
      This manuscript focuses on the single- and multi-mode resource-constrained project scheduling problem with discounted cash flows (RCPSPDC and MRCPSPDC) and three payment models. The contribution of the paper is twofold. First, we extend a new scheduling technique, which moves activities in order to improve the project net present value. This more general version is applicable to multiple problem formulations and provides an overarching framework in which these models can be implemented. The changes in activity finish times take other activities and the possible changes in the finish times of these other activities into account, by forming a set of activities which is subsequently moved in time. The scheduling technique is implemented within a genetic algorithm metaheuristic and employs two penalty functions, one for deadline feasibility and one for non-renewable resource feasibility. Second, we test the proposed approach on several datasets from literature and illustrate the added value of each part of the algorithm. The influence of data parameters on the project net present value is highlighted. The detailed results provided in this paper can be used as future benchmarks for each of the six models discussed.
    • Payments: Refurbish or rebuild

      Slagmulder, Regine; Cumps, Bjorn; Dillen, Yannick (Journal of Digital Banking, 2018)
      The payments industry is facing its most radical change in decades. This is due to at least four change drivers — increased regulation, changing customer behaviour, technological innovation and new entrants. The sector faces increased competition from large established tech companies and small FinTech start-ups that are moving into the payments space. Based on the authors’ work with companies in the financial services industry and expert interviews, this paper identifies two distinct types of trends: those enhancing the existing payments system and those trying to build a completely new system. It is clear that a lot of the innovations focus on disintermediating the incumbent organisations. But how can these organisations best address these changes? Building on previous research the authors discuss four crucial capabilities for incumbents to master in an increasingly turbulent environment like the payments sector — designing superior customer experiences, setting up data-driven infrastructures, building multiparty collaborations and providing platform-based solutions. It is impossible for organisations to predict what will happen, but they will be better prepared for the road ahead by investing in these four capabilities.
    • Pecking order and debt capacity considerations for high-growth companies seeking financing

      Vanacker, Tom; Manigart, Sophie (Small Business Economics, 2010)
    • Perceived important and problematic aspects of running a new firm

      Auwers, Tom; Deschoolmeester, Dirk (FGF Entrepreneurship-Research Monographien, 1994)
    • Perceptions of industrial design: The “means” and the “ends”

      Micheli, Pietro; Jaina, Joe; Goffin, Keith; Lemke, Fred; Verganti, Roberto (The Journal of Product Innovation Management, 2012)
      It is widely accepted that industrial design can play an important role in the development of innovative products, but integrating design‐thinking into new product development (NPD) is a challenge. This is because industrial designers have very different perspectives and goals than the other members of the NPD team, and this can lead to tensions. It has been postulated that the communications between NPD managers and industrial designers are made more difficult because each group uses very different language. This research made the first empirical investigation of the language used by designers and managers in describing “good” and “poor” industrial design. In‐depth interviews were conducted with a sample of 19 managers and industrial designers at five leading companies. Multiple sources of data were utilized, including the repertory grid technique to elicit the key attributes of design, from the perspective of managers and designers. Using a robust, systematic coding approach to maximize the validity and reliability of qualitative data analysis, it was established that managers and industrial designers do not use a completely different vocabulary as previously supposed. Rather, it was found that managers and industrial designers use some common terms augmented by additional terms that are specific to each group: managers are commercially orientated in the “ends” they want to achieve and designers perceive more antecedents (“means”) necessary to achieve their “ends”—iconic design. This research led to a grounded conceptual model of the role of design, as perceived by managers and industrial designers. The implications of the results achieved are wide: they indicate how managers and designers can interact more productively during NPD; they highlight the need for more research on the language of designers and managers; and they point to issues that need to be covered in the education of industrial designers. Finally, this work suggests how managers and designers can engage in a more fruitful dialogue that will help to make NPD more productive.
    • Perceptions of the value of the HR-function

      Buyens, Dirk; De Vos, Ans (HRM Journal, 2001)
    • Performance comparison of activity sensitivity metrics in schedule risk analysis

      Ballesteros-Pérez, Pablo; Cerezo-Narváez, Alberto; Otero-Mateo, Manuel; Pastor-Fernández, Andrés; Vanhoucke, Mario (Automation in Construction, 2019)
      In Schedule Risk Analysis (SRA), activity sensitivity metrics measure the importance of activities in a project schedule. Highly sensitive activities are those more likely to increase project duration variability and/or cause project duration extensions. Several activity sensitivity metrics have been proposed over the years, but a comparison of all of them has never been made. This has made it difficult to know which metrics perform better and under what circumstances. In this paper, an extensive comparison of all relevant SRA activity sensitivity metrics is performed using a set of 4100 artificial projects. Unlike previous studies, the comparison framework is decoupled from corrective actions (e.g. activity crashing) which allows the merits of each metric to be assessed individually. Additionally, a new metric that performs better for overall sensitivity ranking is proposed. Results show that most sensitivity metrics do not perform well unless they are applied iteratively (the sensitivity of the remaining scheduled activities has to be recalculated whenever the duration variability of at least one activity has been restricted). However, if applied iteratively, most metrics can enhance project monitoring and control, while significantly shortening project duration.
    • Performance evaluation of a production/inventory system with periodic review and endogenous lead times

      Boute, Robert; Lambrecht, Marc; Van Houdt, Benny (Naval Research Logistics, 2007)
    • Performance improvement through supply chain collaboration in Europe

      Vereecke, Ann; Muylle, Steve (International Journal of Operations and Production Management, 2006)
    • Performance na een buy-out: een Empirische studie in België

      Goossens, Lotte; Manigart, Sophie; Meuleman, Miguel (Accountancy en Bedrijfskunde Maandschrift, 2007)
    • 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.