• Understanding the continuation of firm activities when entrepreneurs exit their firms: Using theory of planned behavior

      Leroy, Hannes; Manigart, Sophie; Meuleman, Miguel; Collewaert, Veroniek (Journal of Small Business Management, 2015)
      Up to now, little attention has been paid to the continuity of a firm when entrepreneurs exit. Survey data from 175 entrepreneurs confirm the theory of planned behavior as an appropriate framework to understand whether entrepreneurs, when leaving, sell or liquidate their firm. Entrepreneurs' sale attitudes are related to sale intentions, which are associated with firm sale. Further, sale attitudes are positively related to whether entrepreneurs perceive firm continuation to be out of free will, their experience, the number of employees, and whether the firm is a multigeneration family business.
    • Understanding the salespeople's "feedback-satisfaction" linkage: What role does job perceptions play?

      Srivastava, Rajesh; Rangarajan, Deva (Journal of Business and Industrial Marketing, 2008)
    • Understanding today's music acquisition mix: a latent class analysis of consumers' combined use of music platforms

      Weijters, Bert; Goedertier, Frank (Marketing Letters, 2016)
      In response to diversifying music delivery modes, consumers increasingly combine various music platforms, both online and offline, legal and illegal, and free or paying. Based on survey data (N?=?685), the current study segments consumers in terms of the combination of music delivery modes they use. We identify four latent classes based on their usage frequency of purchasing CDs, copying CDs, streaming music, streaming music videos, peer-to-peer file sharing, and purchased downloading. All-round users (9.9 %) use most or all acquisition modes, but at a low frequency. Traditionalist (33.7 %) typically makes no use of any of the acquisition modes except buying CDs. Streamers-downloaders (20.7 %) use several acquisition modes intensively, especially streaming (video and/or music only) and downloading (legal and illegal). Light users (35.6 %) also use multiple acquisition modes, but less frequently. We draw theoretical and practical implications, discuss limitations, and suggest ideas for future research.
    • Unfolding the concept of a TMT-Diversification strategy fit

      Weiss, Martin; Schneider, D.; Lebid, J. (Team Performance Management: An International Journal, 2015)
      This paper aims to develop a conceptual foundation of a fit between top management teams (TMTs) and their company's corporate strategy. The authors fortify the importance of the concept of fit if the impact of upper echelons on organizational performance is trying to be explained. Yet, a constitutive concept of fit for the corporate strategy, a particularly important dimension of strategy, was previously neglected.
    • The unhealthy = tasty belief is associated with BMI through reduced consumption of vegetables: A cross-national and mediational analysis

      Briers, Barbara; Huh, Young Eun; Chan, Elaine; Mukhopadhyay, Anirban (Appetite, 2020)
      Obesity is one of the greatest public health challenges of modern times and its prevalence is increasing worldwide. With food so abundant in developed countries, many people face a conflict between desires for short-term taste and the goal of long-term health, multiple times a day. Recent research suggests that consumers often resolve these conflicts based on their lay beliefs about the healthiness and tastiness of food. Consequently, such lay beliefs can play critical roles not just in food choice but also weight gain. In this research, we show, across six countries and through mediation analysis, that adults who believe that tasty food is unhealthy (the Unhealthy = Tasty Intuition, or “UTI”; Raghunathan, Naylor, & Hoyer 2006) are less likely to consume healthy food, and thereby have a higher body mass index (BMI). In Study 1, we conducted a cross-sectional survey in five countries (Australia, Germany, Hong Kong, India, and the UK), and found that greater strength of belief in UTI was associated with higher BMI, and this relationship was mediated by lower consumption of fruits and vegetables. The observed patterns largely converged across the sampled Western and Asian-Pacific countries. In Study 2, we teased apart the mediating role of vegetable versus fruit consumption and also addressed the issue of reversed causality by predicting BMI with a measure of UTI belief taken 30 months previously. We found that vegetable consumption, but not fruit consumption, mediated the association between UTI belief and BMI. Our findings contribute to the literature by showing how lay beliefs about food can have pervasive and long-lasting effects on dietary practices and health worldwide. Implications for public policy and health practitioners are discussed.
    • University spin-out companies and venture capital

      Wright, Mike; Lockett, Andy; Clarysse, Bart; Binks, Martin (Research Policy, 2006)
    • Unlocking the value of personalised healthcare in Europe — breast cancer stratification

      Van Dyck, Walter; Gassull, Daniel; Vértes, Gergely; Jain, Prateek; Palaniappan, Muhilan; Schulthess, Duane; Tambuyzer, Erik; Hudson, Richard; Moran, Nuala (Health Policy and Technology, 2012)
      Through stratification, this simulation shows that there is great potential to improve the efficiency of treating breast cancer. By segmenting the female population at the age of 50 based on family history and genetic testing, our model shows a reduction in costs of breast cancer treatments by 37% with no loss of efficacy accomplished primarily through a 60% drop in incidence of metastatic stages of the disease. These programmes are not inexpensive, and require substantial upfront investments of roughly 2 billion GBP and continued annual investments of several hundred million GBP. However, our simulations show a positive NPV and ROI in approximately year 7 of the programme.
    • Unveiling smart city implementation challenges: The case of Ghent Authors

      Van den Bergh, Joachim; Viaene, Stijn (Information Polity: The International Journal of Government & Democracy in the Information Age, 2016)
      The `smart city' label is 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 to prepare their cities for the future. There are decent definitions for what a smart city is, but it is much harder to find a trustworthy description of what it takes to become a smart city and how a city administration is impacted by that effort. This paper sets out to investigate how a city, aspiring to become a `smart city', can manage its internal organization to realize that ambition. Specifically, it 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. The study contributes to a more professional pursuit of the smart city concept and elaborates the academic body of knowledge on smart city development, as an instance of IT-enabled transformation in public services.
    • USDI on the up: AmCham study tracks investment and R&D trends

      Bowen, Harry; Onkelinx, Jonas (AmCham Business Journal, 2007)
    • Use of proximal policy optimization for the joint replenishment problem

      Vanvuchelen, Nathalie; Gijsbrechts, Joren; Boute, Robert (Computers in Industry, 2020)
      Deep reinforcement learning has been coined as a promising research avenue to solve sequential decision making problems, especially if few is known about the optimal policy structure. We apply the proximal policy optimization algorithm to the intractable joint replenishment problem. We demonstrate how the algorithm approaches the optimal policy structure and outperforms two other heuristics. Its deployment in supply chain control towers can orchestrate and facilitate collaborative shipping in the Physical Internet.
    • Using activity sensitivity and network topology information to monitor project time performance

      Vanhoucke, Mario (Omega - International Journal of Management Science, 2010)
    • Using ad hoc measures for response styles. A cautionary note

      De Beuckelaer, A.; Weijters, Bert; Rutten, A. (Quality and Quantity, 2010)
    • Using earned value management and schedule risk analysis with resource constraints for project control

      Song, Jie; Martens, Annelies; Vanhoucke, Mario (European Journal of Operational Research, 2021)
      The main goal of project control is to measure the actual project progress such that the deviations from the plan can be identified and corrective actions can be taken to bring the project back on track. However, in resource-constrained projects, disrupted activities affect their successors due to precedence relations and the other activities due to resource constraints, both of which will result in deviations during project progress. Since the project control approaches solely focus on the deviations based on the network analysis, they do not accurately reflect the progress of resource-constrained projects. This paper extends project control approaches for resource-constrained projects to measure and evaluate whether the project progress is acceptable. Moreover, we design three scenarios considering possible resource conflicts to take corrective actions when needed. In the computational experiment, this project control process is applied to a large set of projects with different characteristics and further validated on real-life project data. The results show that the proposed scenarios and different project control approaches are efficient and reliable, but their use depends on project network structure and resource scarceness.
    • Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities

      André de Andrade, Paulo; Martens, Annelies; Vanhoucke, Mario (Automation in Construction, 2019)
      Since project control involves taking decisions that affect the future, the ability to accurately forecast the final duration and cost of projects is of major importance. In this paper, we focus on improving the accuracy of project duration forecasting by introducing a forecasting approach for Earned Value Management (EVM) and Earned Duration Management (EDM) that combines the schedule performance and schedule adherence of the project in progress. As the schedule adherence has not yet been defined formally for EDM, we extend the EVM-based measure of schedule adherence, the p-factor, to EDM and refer to this measure as the c-factor. Moreover, we aim to improve the ability to indicate the expected forecasting accuracy for a project by extending the EVM concept of project regularity to EDM. The introduced forecasting approach and the EDM project regularity indicator are applied to a large number of real-life projects, mainly situated in the construction sector. The conducted empirical experiment shows that the project duration forecasting accuracy can be increased by focusing on both the schedule performance and schedule adherence. Further, this study shows that the EDM project regularity indicator is indeed a more reliable indicator of forecasting accuracy.
    • 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.
    • Using styles for more effective learning in multicultural and e-learning environments

      Cools, Eva; Evans, Carol; Redmond, J.A. (Multicultural Education and Technology journal, 2009)
    • Using the right emotion to promote the right product to the right person

      Faseur, Tine; Geuens, Maggie (Communication Research, 2010)