Recent Submissions

  • Supply chain resilience and customer experience.

    Lemke, Fred; Alfarsi, Fahd; Yang, Ying (2018)
  • Social sustainability: Academic and practical perspectives

    Alsawafi, Ahmed; Lemke, Fred; Yang, Ying (2018)
  • The effect of temperature cues on food intake

    Briers, Barbara; Lerouge, Davy (2011)
    Emerging literature points to, but lacks evidence, on effects of temperature exposure – heating versus air conditioning - on food intake. This study addresses that void by illustrating that people who feel cold indeed eat more. Moreover, we show that exposure to cold primes is already sufficient to activate this behavior.
  • When social comparison is demotivating for goal achievement

    Chan, Elaine; Briers, Barbara (2013)
    While the social comparison literature has mostly discussed the positive role of upward social comparison on motivation, this research provides new insights and shows that holding the distance between the self and the superior others the same, observing a superior other achieving the goal can be demotivating.
  • Conspicuous consumption reflects how redistribution influences perceived social justice

    Briers, Barbara; Wertenbroch, Klaus; Riley, Breagin (2013)
    We examine how redistribution preferences affect the value of status consumption: people who favor less (more) fiscal redistribution value status consumption more as a meaningful signal because they consider income more deserved (i.e., a stronger belief in a just world). Data come from a national consumer survey and two experiments.
  • From phonebloks to google project ara. A case study of the application of sustainable mass customization

    Hankammer, Stephan; Jiang, Ruth; Kleer, Robin (2016)
    Mass Customization (MC) has become a major trend in the consumer goods market in recent years. However, it is still unclear if MC goods have a positive impact on the environment due to the many influencing factors in comparison to mass produced goods. With Google’s “Project Ara”, a modular and customizable smartphone approach is very likely to reach market maturity and its economic, social and ecologic impacts are still unclear. Using a qualitative case study approach, we shed light on its potential economic success. Furthermore, we use the two theoretical concepts of Eco Innovation (EI) and Systemic Innovation (SI) to assess Google Ara’s potential to lead to changes in terms of ecologic and social concerns. In our analysis, we show that Project Ara has the potential to outperform its competitors of modular smartphones. We work out that Google’s modular approach could lead to a longer useful life of smartphones – or at least for some components. Finally, we affirm Project Ara’s general potential for being an SI. Even though Project Ara will very likely not change the complete smartphone market and the behavior of the involved actors, there is a potential for influencing sociocultural behavior in the long tail of the smartphone market.
  • Uncovering the perspectives to practice-based theory building

    Erden, Zeynep; Schneider, A.; Krogh, Georg von (2013)
  • A new cross-validation technique to evaluate quality of recommender systems

    Ignatov, Dmitry I.; Poelmans, Jonas; Dedene, Guido; Viaene, Stijn (2012)
    The topic of recommender systems is rapidly gaining interest in the user-behaviour modeling research domain. Over the years, various recommender algorithms based on different mathematical models have been introduced in the literature. Researchers interested in proposing a new recommender model or modifying an existing algorithm should take into account a variety of key performance indicators, such as execution time, recall and precision. Till date and to the best of our knowledge, no general cross-validation scheme to evaluate the performance of recommender algorithms has been developed. To fill this gap we propose an extension of conventional cross-validation. Besides splitting the initial data into training and test subsets, we also split the attribute description of the dataset into a hidden and visible part. We then discuss how such a splitting scheme can be applied in practice. Empirical validation is performed on traditional user-based and item-based recommender algorithms which were applied to the MovieLens dataset.
  • Human-centered text mining: A new software system

    Poelmans, Jonas; Elzinga, Paul; Neznanov, Alexei A.; Dedene, Guido; Viaene, Stijn; Kuznetsov, Sergei O. (2012)
    In this paper we introduce a novel human-centered data mining software system which was designed to gain intelligence from unstructured textual data. The architecture takes its roots in several case studies which were a collaboration between the Amsterdam-Amstelland Police, GasthuisZusters Antwerpen (GZA) hospitals and KU Leuven. It is currently being implemented by bachelor and master students of Moscow Higher School of Economics. At the core of the system are concept lattices which can be used to interactively explore the data. They are combined with several other complementary statistical data analysis techniques such as Emergent Self Organizing Maps and Hidden Markov Models.
  • Key challenges for the smart city: Turning ambition into reality

    Van den Bergh, Joachim; Viaene, Stijn (2015)
    Smart city is a label internationally used by cities, researchers and technology providers with different meanings. As a popular concept it is widely used by city administrators and politicians to promote their efforts. It is hard enough to find a good definition for smart cities, but even harder to find a trustworthy description of what it takes to become a smart city and how a city administration is impacted. This paper sets out to investigate how a city, aspiring to become a 'smart city', can manage the organization to realize that ambition. Specifically, the paper describes the case of the City of Ghent, Belgium, and the key challenges it has been facing in its ongoing efforts to be a smart city. Based on in depth interviews with city representatives six key challenges for smart city realization were identified and tested with a panel of representatives from five European cities that are in the process of becoming a smart city. This way, the study contributes to a more professional pursuit of the smart city concept.
  • How to move towards digital era governance: The case of VDAB

    Danneels, Lieselot; Viaene, Stijn (2015)
    This paper takes our research work with VDAB (Vlaamse Dienst voor Arbeidsbemiddeling en Beroepsopleiding), the public employment service for the Flemish region in Belgium, as a starting point to study the transformation of government from New Public Management (NPM) to Digital Era Governance (DEG). This study focuses on how to work towards disruptive DEG innovation in a turbulent strategic context by employing a strategy of simple rules. Together with VDAB we apply an Action Design Research (ADR) approach to develop a set of “boundary breaking rules”. Coining these simple rules represents a first significant step in VDAB’s journey towards achieving a radical business innovation. In addition to the main artifact designed using our ADR approach in the VDAB context, i.e. the “boundary breaking rules”, we derive lessons from this approach concerning the nature of this artifact specific for the VDAB case. Although this paper represents an early stage of the research and has not yet reached the final ADR stage of formalization of learning, we aim for it to lay the foundations for a more broadly applicable design theory of simple rules, useful in contexts generalizable from the specific VDAB context.
  • Fine-slicing global value chains: A protection for proprietary content

    Gooris, Julien; Peeters, Carine (2014)
    This study shows that firms adjust the scope of activities entrusted to foreign services production units to adapt their knowledge and content protection strategy to the availability of strong legal protection or internal control mechanisms. We hypothesize and empirically confirm that, when the above mechanisms are not available, firms use the substitute protection mechanism of “fine-slicing” foreign value chain activities to exploit the complementarities that exist between tasks and reduce misappropriation hazard. We also find a positive moderating effect of firm country-specific experience and content value on the propensity to use the fine-slicing mechanism.
  • Implications of switching from a to-day to a to-week patient scheduling strategy, an application at the UZ Leuven

    Samudra, Michael; Demeulemeester, Erik; Cardoen, Brecht (2013)
    In most hospitals there are some patients who receive surgery later than required. As their health condition can potentially quickly worsen, they are exposed to a health risk. In order to improve the current situation, the lateness of patients has to be, firstly, quantified and, secondly, the responsible mechanism has to be understood, namely the patient scheduling process. We analyzed the percentage of patients being served late in Belgium’s largest hospital, the UZ Leuven. At the hospital, an elective patient is associated with one of five due time intervals within which the patient has to be served. We analyzed the lateness of patients across disciplines using all data from 2012 and 22 ORs. We tried to understand many of the different aspects related to the scheduling process, which knowledge we then included into a simulation model. We investigated from the data: patient arrival patterns, the relation between estimated and realized surgery durations, rescheduling mechanisms and the allocation patterns of emergencies. We also used the model to investigate the effects of switching from the current scheduling practice of assigning surgeries directly to slots (OR and day) to a two-step procedure, where patients are scheduled to a surgery week first and only in a second step to slots. Our results suggest that in case of the two-step procedure it is very important to allow patients with shorter due times to break into the already fixed weekly schedule. Additionally, it is important that in the second step of the scheduling procedure, in the within week scheduling, the due time is considered. We conclude that improving patient scheduling can help to decrease the amount of patients served too late. As a next step, we try to develop a sound scheduling schema, which allows to further decrease the number of patients served to late.
  • Dynamics of persistent heterogeneity in the global configuration of business services value chains

    Peeters, Carine; Lewin, Arie (2014)
    The paper develops an integrative framework that identifies, describes and links the firm-specific and non-firmspecific factors that co-evolve and mutually influence the changes in configurations of global business services value chains over time. We focus on the heterogeneity of configurations resulting from idiosyncratic choices regarding what processes to unbundle, what activities to locate where, and what control mechanisms to use. Expanding current models and empirical studies in International Business, we argue in particular in favour of a behavioural approach that gives more room to decision makers and the decision making process to explain changing but persistent heterogeneity in ALC configuration (Activity-Location-Control mechanisms) of business Page 44 TUESDAY AIB 2014 Conference Proceedings services global value chains.
  • The value of neighborhood information in prospect selection models investigating the optimal level of granularity

    Van den Poel, Dirk; Baecke, Philippe (2013)
    Within analytical customer relationship management (CRM), customer acquisition models suffer the most from a lack of data quality because the information of potential customers is mostly limited to socio-demographic and lifestyle variables obtained from external data vendors. Particularly in this situation, taking advantage of the spatial correlation between customers can improve the predictive performance of these models. This study compares the predictive performance of an autoregressive and hierarchical technique in an application that identifies potential new customers for 25 products and brands. In addition, this study shows that the predictive improvement can vary significantly depending on the granularity level on which the neighborhoods are composed. Therefore, a model is introduced that simultaneously incorporates multiple levels of granularity resulting in even more accurate predictions.

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