Recent Submissions

  • Using schedule risk analysis with resource constraints for project control

    Song, Jie; Martens, Annelies; Vanhoucke, Mario (European Journal of Operational Research, 2021)
    Schedule Risk Analysis (SRA) has shown to provide reliable activity sensitivity information for taking corrective actions during project control. More precisely, by selecting a small subset of activities with high sensitivity values for taking corrective actions, the project outcome can be improved. In resource constrained projects, disrupted activities can affect both their successors as well as other activities when resource conflicts are induced. Since SRA focuses solely on the project network to determine the sensitivity of activities, the traditional SRA metrics do not accurately reflect the activity sensitivity for resource constrained projects. In this paper, the traditional SRA metrics are extended for resource constrained projects, and a novel resource-based sensitivity metric is introduced (RC-SRA metrics). A computational experiment is conducted to investigate the ability of the RC-SRA metrics to identify activities with higher sensitivity values. In addition, two activity selection strategies, defined as the normal strategy and sequential strategy, are designed to select activities for taking corrective actions. Further, two types of corrective actions are proposed to reduce the activity duration or resource demand in case of delays, respectively. Finally, the impact of dynamically updating the RC-SRA metrics during project execution is examined. The computational results show that the normal activity selection strategy is recommended for serial projects, while the sequential strategy is preferred for parallel projects. The results also indicate that reducing the activity durations performs better than reducing the resource demand of activities. Finally, it is shown that updating the RC-SRA metrics dynamically during project execution improves the efficiency of the corrective action taking process.
  • The role of internal quality relations in driving sustainability performance

    Alsawafi, Ahmed; Lemke, Fred; Ying, Yang (Procedia Manufacturing, 2019)
    There are contradictory debates about the impact of quality management and sustainability performance. By taking the internal dimensional view of quality management practices (management and employee), this study develops a research framework that investigates the relationships of internal quality relations and sustainability performance. Survey data were collected from 430 service and manufacturing firms from the UK. Structural equation modelling was used to test the framework. The results indicated positive relationships of all tested hypotheses. This study offers an integrated framework with empirical evidence that identifies the role of internal quality relations in driving the sustainability performance.
  • The Importance of supply chain resilience: An empirical investigation

    Alfarsi, Fahd; Lemke, Fred; Ying, Yang (Procedia Manufacturing, 2019)
    This study aims to explore how supply chain resilience (SCRes) influences firm reputation. SCRes dimensions and their underlying mechanisms in relation to firm reputation attributes are investigated. For gaining a deep understanding of SCRes and its benefits, seventeen in-depth interviews were conducted with key informants in the UK manufacturing sector. The study results show the process by which SCRes plays a role in sustaining and maintaining a good firm reputation. Underlying mechanisms of these relationships are identified, within the supply chain network. The majority of extant studies have focused on the elements and strategies that can increase supply chain resilience. However, the value of SCRes has not been explored yet. To the best of our knowledge, this exploration represents the first study that delivers empirical insights into the relationship between SCRes and firm reputation. The results of this study clearly outline the structure and mechanism of SCRes that practitioners can use as a guiding framework to protect their firms from disruptions. Suggestions for protecting firm performance are also given.
  • Are you part of the crowd? The role of sex and environmental characteristics for crowdfunding awareness

    Vaznyte, Egle; Andries, Petra; Manigart, Sophie (Journal of Small Business Management, 2020)
    Crowdfunding has become an alternative source of financing for entrepreneurial new ventures and social projects. While several studies have analysed the success factors of crowdfunding campaigns, and identifying and “tapping the right crowd” has been shown crucial in this respect, we still lack a basic understanding of the individuals who are in the crowd. This study aims to increase our understanding of the supply side of crowdfunding by focussing on individuals’ crowdfunding awareness. Integrating information processing theory with insights from financial literacy and institutional theory, and using a sample of 1,042 individuals in Flanders (Belgium), we find that individuals’ awareness of specific crowdfunding initiatives is very low. A favourable normative environment and a conducive environment increases an individual’s awareness of crowdfunding in general, and women tend to derive their crowdfunding awareness to a larger extent from these environmental characteristics than men. These results have important practical and theoretical implications.
  • The effect of traffic-light labels and time pressure on estimating kilocalories and carbon footprint of food

    Panzone, Luca; Sniehotta, Falko; Comber, Rob; Lemke, Fred (Appetite, 2020)
    Food consumption decisions require consumers to evaluate the characteristics of products. However, the literature has given limited attention to how consumers determine the impact of food on health (e.g., kilocalories) and on the environment (e.g., carbon footprint). In this exercise, 1511 consumers categorised 43 food products as healthy/unhealthy and good/bad for the environment, and estimated their kilocalories and carbon footprint, which were known to the investigator. The task was performed either with no stimuli (a control group), under time pressure only, with traffic-light labels only, or both. Results show that traffic-light labels: 1) operate through improvements in knowledge, rather than facilitating information processing under pressure; 2) improve the ability to rank products by both kilocalories and carbon footprint, rather than the ability to use the metric; 3) reduce the threshold used to categorise products as unhealthy/bad for the environment, whilst raising the threshold used to classify products as good for the environment (but not healthy). Notably, traffic-light increase accuracy by reducing the response compression of the metric scale. The benefits of labels are particularly evident for carbon footprint. Overall, these results indicate that consumers struggle to estimate numerical information, and labels are crucial to ensure consumers make sustainable decisions, particularly for unfamiliar metrics like carbon footprint.
  • Local manufacturing and structural shifts in competition: Market dynamics of additive manufacturing

    Kleer, Robin; Pillier, Frank T. (International Journal of Production Economics, 2019)
    Additive manufacturing (AM) allows to build components and finished series products directly from 3D data, without the need for tooling or other setup cost. An often discussed, but hardly investigated opportunity of AM is to establish economical and scalable local production facilities for innovating consumers (who turn into “prosumers”). In this paper, we investigate the effect of such a local production (enabled by AM) on consumer welfare, market structure, and competitive dynamics. Doing so, we provide a new perspective on the fundamental trade-off between the instant availability of (perfectly fitting) products manufactured by and in close proximity to a consumer and the efficiency gains of realizing economies of scale by producing standard products in a central facility. We analyze AM from the perspective of the established theories of user innovation and spatial competition. Building on two game-theoretical (Hotelling) models, we show that there is scope for the improvement of consumer welfare arising from local production by consumer producers. Our analysis allows us to make a number of propositions concerning the effects of AM on market structure when adopted by local users, and to identify the specific conditions of these shifts.
  • Customer coproduction in healthcare service delivery: Examining the influencing effects of the social context

    Osei-Frimpong, Kofi; McLean, Graeme; Wilson, Alan; Lemke, Fred (Journal of Business Research, 2020)
    This study furthers our understanding of service coproduction by examining some pertinent antecedents and the consequent effect on customer adherence to medical instructions in healthcare service delivery. Through a cross-sectional quantitative survey design, data collected from 594 healthcare customers were analysed through structural equation modelling using AMOS 23. The findings indicate significant influences of social context on participation in service coproduction and adherence. Additionally, the mediating effect of customer role clarity on social context (nature of interactions, access to healthcare information, service climate) and coproduction are established. This study also determined moderation effects of provider-customer orientation on the coproduction process. Further, customer health condition-type (acute or chronic) does not present different effects on their coproduction behaviours. From a social cognitive theoretical perspective, this study has established that customers’ coproduction behaviours are motivated by the social system in relation to the social context.
  • Variability in hospital costs of adult spinal deformity care

    Jacobs, Karel; Dewilde, Thibault; Vandoren, Cindy; Cardoen, Brecht; Vansteenkiste, Nancy; Scheys, Lennart; Roodhooft, Filip; Moke, Lieven; Kesteloot, Katrien (Spine, 2020)
    Objective: To calculate the total clinical hospital cost of the Adult Spinal Deformity (ASD) care trajectory, to explain cost variability by patient and surgery characteristics, and to identify areas of process improvement opportunities. Summary of background data: ASD is associated with a high financial and clinical burden on society. ASD care thus requires improved insights in costs and its drivers as a critical step toward the improvement of value, i.e., the ratio between delivered health outcome and associated costs. Methods: Patient characteristics and surgical variables were collected following ethical approval in a cohort of 139 ASD patients, treated between December, 2014 and January, 2018. Clinical hospital costs were calculated, including all care activities, from initial consultation to 1 year after initial surgery (excl. overhead) in a university hospital setting. Multiple linear regression analysis was performed to analyze the impact of patient and surgical characteristics on clinical costs. Results: 75.5% of the total clinical hospital cost (€27,865) was incurred during initial surgery with costs related to the operating theatre (80.3%), nursing units (11.9%), and intensive care (2.9%) being the largest contributors. 57.5% of the variation in total cost could be explained in order of importance by surgical invasiveness, age, coronary disease, single or multiple-staged surgery, and mobility status. Revision surgery, unplanned surgery due to complications, was found to increase average costs by 87.6% compared with elective surgeries (€ 44,907 (± € 23,429) vs. € 23,944 (± € 7302)). Conclusion: This study identified opportunities for process improvement by calculating the total clinical hospital costs. In addition, it identified patient and treatment characteristics that predict 57.5% of cost variation, which could be taken into account when developing a payment system. Future research should include outcome data to assess variation in value.
  • Analysing the impact of alternative network structures on resource-constrained schedules: Artificial and empirical experiments

    Servranckx, Tom; Vanhoucke, Mario; Vanhouwaert, Giel (Computers and Industrial Engineering, 2020)
    In this research, we investigate an extension of the resource-constrained project scheduling problem (RCPSP) with alternatives in the project structure, the so-called RCPSP with alternative subgraphs (RCPSP-AS). The RCPSP-AS consists of a selection subproblem to decide amongst the alternatives in the project structure and a scheduling subproblem to schedule the selected activities in the resulting project structure. In case of a high number of alternatives, however, the selection subproblem might become very complex. In this research, we therefore present a two-step procedure to reduce the complexity of the selection subproblem of the RCPSP-AS. First, we construct a set of high-quality schedules and, subsequently, we analyse the selected alternatives in this set of schedules. Based on two thresholds, defined as the schedule diversity and choice frequency thresholds, we aim at reducing the number of alternatives in the problem. In doing so, the selection subproblem becomes easier to solve thanks to the lower number of alternatives to choose from, and consequently, the solution procedure to solve the RCPSP-AS should now focus on the scheduling subproblem. However, the computational experiments show that both thresholds should be set with care since the low complexity of the selection subproblem might result in some side effects. More precisely, we investigate the impact of both thresholds on the quality of the final schedule as they impact the stop criterion and the size of the neighbourhood in a solution procedure. We have developed our approach based on empirical case studies and validated the results on a large set of artificial projects.
  • Pricing service maintenance contracts using predictive analytics

    Deprez, Laurens; Antonio, Katrien; Boute, Robert (European Journal of Operational Research, 2020)
    As more manufacturers shift their focus from selling products to end solutions, full-service maintenance contracts gain traction in the business world. These contracts cover all maintenance related costs during a predetermined horizon in exchange for a fixed service fee and relieve customers from uncertain maintenance costs. To guarantee profiftability, the service fees should at least cover the expected costs during the contract horizon. As these expected costs may depend on several machine-dependent characteristics, e.g. operational environment, the service fees should also be differentiated based on these characteristics. If not, customers that are less prone to high maintenance costs will not buy into or renege on the contract. The latter can lead to adverse selection and leave the service provider with a maintenance-heavy portfolio, which may be detrimental to the profi tability of the service contracts. We contribute to the literature with a data-driven tarif plan based on the calibration of predictive models that take into account the different machine profi les. This conveys to the service provider which machine pro files should be attracted at which price. We demonstrate the advantage of a differentiated tarif plan and show how it better protects against adverse selection.
  • The effect of multi-sensor data on condition-based maintenance policies

    van Staden, Heletjé E.; Boute, Robert (European Journal of Operational Research, 2020)
    Industry 4.0 promises reductions in maintenance costs through access to digital technologies such as the Internet of Things, cloud computing and data analytics. Many of the promised benefts to maintenance are, however, dependent on the quality of the data obtained through sensors and related technologies. In this work, we consider the effect of access to different levels of deterioration data quality, resulting in partial information about the underlying state of the system being monitored, by means of sensors, on condition based maintenance policies. The sensors may be either internal company sensors, or more informative external sensors of which access is obtained at a cost. We analyze the structure of the optimal policy, where the actions are either to perform maintenance, to pay for external sensor information or to continue system operation with internal sensor information only. We show that the optimal policy consists of at most four regions based on the believed deterioration state of the system. The analysis allows us to numerically investigate the decision maker's willingness to pay for more informative external sensor information with respect to the level of external sensor informativeness, when compared to that of the internal sensor, and the cost thereof.
  • Product platform replacement: Impact of performance objectives, innovation speed, and competition

    Van den Broeke, Maud; Devoldere, Bart; Creemers, Stefan; Boute, Robert (International Journal of Technology Management, 2020)
    Product platforms are assets shared by multiple products. Their primary purpose is to offer product variety while keeping time-to-market and operational costs down. As new products are developed over time, the question arises when to replace a platform. The repetitive use of the same platform for multiple product generations keeps platform development time and costs low. As the platform gets obsolete, however, the time and efforts to adapt the platform to the newest product will go up. With these dynamics in mind, we develop a simulation model to gain insight into the desired platform replacement planning. We examine how platform replacements are impacted by a fi rm's performance objectives, the speed of innovation, and the competitive landscape.
  • Stretch yourself: Benefits and burdens of job crafting that goes beyond the job

    Rogiers, Philip; De Stobbeleir, Katleen; Viaene, Stijn (Academy of Management Discoveries, 2020)
    As employees cannot always readily stretch their competencies and professional identity on the job through regular job crafting, we ask the question: are there alternative ways of crafting inside organizations through which people can stretch themselves? Using grounded theory methods, we step into the shoes of federal employees active in Open Opportunities, a digital market for temporary assignments in the U.S. federal government. We find that employees use such temporary assignments to craft a liminal space in which they can explore new skills, establish new professional ties, and claim new professional identities unavailable in their full-time jobs. However, due to its visibility, this way of crafting can also generate substantial supervisory pressures resisting it. These pressures may induce an image cost, and trigger increased frustration, stress, and strain in people’s jobs. As we describe this new job crafting pattern, we pay attention to both its benefits and burdens, and the impact thereof on people’s efforts to stretch themselves at work. We discuss the theoretical and practical implications of our study and its consequences for future research on job crafting, professional identity development, and the future of work.
  • Variability in hospital treatment costs: A time-driven activity-based costing approach for early-stage invasive breast cancer patients

    Roman, Erin; Cardoen, Brecht; Decloedt, Jan; Roodhooft, Filip (BMJ Open, 2020)
    Given the cost challenge in healthcare, the need for greater cost transparency has become imperative. Through our analysis, we generate initial insights into the drivers of cost variability for breast cancer. We found evidence that disease characteristics such as severity and more aggressive cancer forms such as HER2-enriched and triple negative have a significant impact on treatment cost across the different subtypes. Similarly, patient factors such as age and presence of gene mutation contribute to differences in treatment cost variability within molecular subtypes.
  • Nonlinear financial econometrics JoE special issue introduction

    Rombouts, Jeroen; Scaillet, Olivier; Veredas, David; Zakoian, Jean-Michel (Journal of Econometrics, 2020)
    This special issue is based upon the conference in honour of Professor Luc Bauwens, held in Brussels on October 2017. The conference was sponsored by UCLouvain and the theme was nonlinear financial econometrics. The generality of the theme reflects precisely the broad research scope of Luc Bauwens. During his career, he has contributed to various areas of time series econometrics, always with applications in economics and finance in mind, and, although being a Bayesian econometrician, he developed both Bayesian and frequentist inference.
  • Opening the gates: A framework for an open banking strategy

    Standaert, Willem; Muylle, Steve; Cumps, Bjorn (Journal of Digital Banking, 2020)
    This paper provides decision makers in digital banking with a framework for developing their open banking strategies. Based on interviews with experts from leading banks and insurers, FinTech and big tech, a large consultancy and the regulator, we have identified five strategic dimensions of open banking — product innovation, customer experience integration, ecosystem competition, datascape and geographical scope — and mapped the relationships between them. Decision makers in financial services can assess their position on these important dimensions of open banking and set their strategic direction. Using the framework, we also illustrate how hitherto relatively closed banks with a dominant market position are starting to transform into open ecosystem players that embrace digital innovation. Likewise, we show how open banking initiatives of big tech and FinTech can be mapped on the framework. In addition, the paper reviews how regulation, market and digital technology impact open banking strategy.
  • From crisis to enlivenment: An AOM president responds to EO13769

    Pirson, Michael; Adler, Paul; Barney, Jay; Bartunek, Jean; Patient, David; Phillips, Nelson; Pitelis, Christos (Journal of Management Inquiry, 2019)
    In assembly of short responses, noted scholars—including former presidents of the Academy of Management (AOM)—share their perspectives on the events related to AOM leadership following EO13769. The pieces are reflections on the micro-level aspects of leadership and the ethical and moral choices therein.
  • Antecedents and consequences of collective psychological ownership: The validation of a conceptual model

    Giordano, Ana Paula; Patient, David; Passos, Ana Margarida; Sguera, Francesco (Journal of Organizational Behavior, 2020)
    We investigate team member feelings of collective psychological ownership (CPO) over teamwork products, the psychological paths that lead to it, and its impact on team workers' evaluations of team effectiveness, turnover intentions, and intentions to champion teamwork products. We focus on the teamwork product as an important target of ownership feelings, building on theories of self‐extension, psychological ownership, and team emergent states. In Study 1, we validate measures for three ownership activating experiences (OAE) that have been proposed as paths to CPO (control over, intimate knowledge regarding, and investment in the teamwork product) using two samples of individual team workers (n = 210 and n = 140). In Study 2 (n = 183) and Study 3 (n = 200), we use surveys and a multiwave design to show that team workers' feelings of CPO mediate the relationship between investment in and intimate knowledge regarding the product and team effectiveness evaluations, team turnover intentions, and intentions to champion the work product. In Study 4 (n = 48 teams), CPO was predicted by the ownership activating experiences, at the team level. This research additionally highlights the benefits to organizations of creating conditions for the emergence of employee feelings of shared ownership over teamwork products.
  • Investigating the co-creation of IT consulting service value: Empirical findings of a matched pair analysis

    Oesterle, Severin; Buchwald, Arne; Urbach, Nils (Electronic Markets, 2020)
    Digitalization is increasingly and broadly impacting on companies throughout all industries. To cope with digital transformation, organizations need specific IT skills and often face a bottleneck between required and existing capabilities. Thus, organizations revert to support from IT consultants. However, such collaborations need to create value so as to make client organizations future-proof in the long term. We therefore need a better understanding of how value is created in IT consulting projects. We build on service-dominant (S-D) logic as the theory base and evaluate our structural model, which explains IT consulting service value based on 77 matched pairs of IT consulting projects using structural equation modeling. We provide empirical support for the assumptions of S-D logic in the IT consulting industry and reveal determinants that significantly contribute to the overall IT consulting service value. Our results contribute to the ongoing discourse in the S-D logic literature and provide meaningful insights for practice.
  • Demographic and attitudinal antecedents of consumers' use and self-investment trajectories over time in an online TV content platform

    Van der Linden, Sam; Nimmegeers, Stef; Geskens, Kristof; Weijters, Bert (Journal of Service Management, 2020)
    Purpose To investigate if online TV content platforms create value for consumers (and increase use) by offering its users the possibility to self-invest in the service (by giving personal content preferences). We link demographic and attitudinal antecedents to the relation between self-investment and use. Design/methodology/approach Data were collected together with a Belgian media company (N = 4,136). To test the effects a latent growth model was composed in a multigroup setting with gender as the grouping variable. The model is analyzed through structural equation modeling in Mplus 8.0. Findings In general, strong relations between self-investment and increased use were found, although the effect of self-investment on use was stronger for female consumers. Furthermore, we established strong hedonic effects on using and investing in the service. For men, easy to use platforms lead to less self-investment. Research limitations/implications Our findings are restricted to free services. Furthermore, attitudinal variables are antecedents of behaviors. However, a more complex interplay between behavioral and attitudinal variables is possible. Further research could use repeatedly measured attitudinal measures and link these to behaviors over time. Practical implications Service developers could offer different platform interactions to different segments to create consumer value. Women seem more receptive for extra functionalities, such as the possibility to indicate preferences. Men mainly focus on the content offered. Originality/value This study focuses on a new form of media distribution, online TV content platforms, where we investigate two related behaviors of users over time (self-investment and use) instead of a general approximation of use. Multi-source data were used.

View more