Now showing items 1-20 of 6067

    • 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.
    • Business intelligence (BI) success and the role of BI capabilities

      Isik, Öykü; Jones, Mary; Sidorova, Anna (Wiley, 2011)
      Business intelligence (BI) has become the top priority for many organizations who have implemented BI solutions to improve their decision‐making process. Yet, not all BI initiatives have fulfilled the expectations. We suggest that one of the reasons for failure is the lack of an understanding of the critical factors that define the success of BI applications, and that BI capabilities are among those critical factors. We present findings from a survey of 116 BI professionals that provides a snapshot of user satisfaction with various BI capabilities and the relationship between these capabilities and user satisfaction with BI. Our findings suggest that users are generally satisfied with BI overall and with BI capabilities. However, the BI capabilities with which they are most satisfied are not necessarily the ones that are the most strongly related to BI success. Of the five capabilities that were the most highly correlated with overall satisfaction with BI, only one was specifically related to data. Another interesting finding implies that, although users are not highly satisfied with the level of interaction of BI with other systems, this capability is highly correlated with BI success. Implications of these findings for the successful use and management of BI are discussed.
    • Business intelligence success: The roles of BI capabilities and decision environments

      Isik, Öykü; Jones, Mary; Sidororva, Anna (Elsevier, 2013)
      This study examines the role of the decision environment in how well business intelligence (BI) capabilities are leveraged to achieve BI success. We examine the decision environment in terms of the types of decisions made and the information processing needs of the organization. Our findings suggest that technological capabilities such as data quality, user access and the integration of BI with other systems are necessary for BI success, regardless of the decision environment. However, the decision environment does influence the relationship between BI success and capabilities, such as the extent to which BI supports flexibility and risk in decision making.
    • 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.
    • Are modular and customizable smartphones the future, or doomed to fail? A case study on the introduction of sustainable consumer electronics

      Hankammer, Stephan; Jiang, Ruth; Kleer, Robin; Schymanietz, Martin (Elsevier, 2018)
      Mass Customization (MC) has become a major trend in the consumer goods market in recent years. While the economic chances and threats are already described very well, the social and environmental impact of MC products remain unclear. Phonebloks, a design study of a modular smartphone launched in 2013, created a vision about fostering sustainability through MC. Teaming up with Google’s Project Ara, a modular and customizable smartphone approach seemed very likely to reach market maturity. In 2016, Google canceled Project Ara shortly before the awaited market introduction. Analyzing the rise and fall of the first large scale MC based business model that was initially designed to foster sustainability in the consumer electronics market, gives us the opportunity to revise the economic, social and ecologic potential of modular and customizable smartphones in general. Furthermore, with constantly growing consumer requirements for new product iterations in shorter time frames, traditional measures for success, such as time-to-market, could change inherently as we are moving closer towards iterative product development processes and much shorter product life-cycles. This, in turn, leads to major changes for ramp-up processes. Using a qualitative case study approach based on expert interviews at two different stages of the Project Ara development process (2015 and 2017), we shed light on the future of modular and customizable smartphones and their economic, social and ecologic sustainability potential. We show that while Project Ara failed in the end, it had the economic potential to outperform its competitors in the field of modular smartphones. We find that an MC approach could lead to longer smartphone or, at least, component life cycles. Finally, we affirm a positive potential for influencing sociocultural behavior in the long tail of the smartphone market.
    • Collaborative value creation from a degrowth perspective

      Hankammer, Stephan; Kleer, Robin (Elsevier, 2018)
      The concept of degrowth aims fundamentally at reducing material and energy throughput equitably, while questioning the desirability of further economic growth. In order to achieve this reduction of society’s throughput, radical changes in the ways goods and services are produced, distributed and used are required. In this think piece, concepts of consumer integration into the value creation process and (new) enabling technologies are discussed as possible constituting elements of alternative organizational models in a degrowth society. To date, collaborative value creation concepts, such as crowdsourcing and mass customization, have been discussed almost exclusively as business model patterns for companies in economies that are set to grow. The same applies to the assessment of (new) technologies, such as additive manufacturing, web-based user interfaces for co-creation, and other flexible production technologies that allow for collaborative and individualized production. Potential positive and negative effects of these concepts and technologies with regard to the objectives of degrowth are discussed in order to initiate a debate about the inclusion of CVC for the design of alternative organizational models that are in line with degrowth thinking. This think piece illustrates that several elements of collaborative value creation and its enabling technologies coincide with degrowth objectives but do not lead per se to their attainment. Thereby, a starting point for future (empirical) work in this area is generated.
    • Access decision-making in the Belgian Commission for reimbursement of medicines 2010-2017: Investigating the readiness for value-based pricing

      Van Dyck, Walter; Schoonaert, Lies; Geldof, Tine; Govaerts, Laurenz (2018)
      To balance the societal need for affordability of medicines with the industrial need for sustained innovation, the present pharmaceutical technology supply-driven system needs to become a societal demand-driven system. Value-based pricing is considered to be a key component of such a system, next to the conditional dialogue between payer and industry we proposed in previous work (Van Dyck, De Grève et al. 2016) in which it should be embedded. To find out how far Belgian pharmaceutical healthcare-related decision-making has evolved within this paradigm, we empirically investigated the access and reimbursement decision-making of the Belgian Commission for Reimbursement of Medicines (CRM) for the period 2010 – 2017. We combined this investigation with previous work in a meta-analysis in order to have the most complete picture possible of the present factors influencing decision-making in the Belgian system.
    • Real-world evidence gathering in oncology: The need for a biomedical big data insight-providing federated network (Published Online)

      Geldof, Tine; Huys, Isabelle; Van Dyck, Walter (Frontiers Editorial Office, 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.
    • 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.