Vlerick Repository
The Vlerick Repository is a searchable open-access publication database, containing the complete archive of research output written by Vlerick Business School faculty and researchers.
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Item Conflict management 101: how emotional intelligence can make or break a manager(Emerald, 2025)Purpose Previous research suggests that emotional intelligence (EI) may benefit managers when resolving conflicts. However, past studies relied on self-reports of EI and conflict management styles, and a theoretical model explaining the mechanisms of the link between EI and conflict management outcomes for managers is still missing. This study aims to test a theoretical model proposing that during conflicts, managers with higher performance-based ability EI are perceived as warmer and more competent, which in turn contributes to higher conflict management effectiveness. Design/methodology/approach A total of 108 Executive MBA students with managerial experience completed a performance-based EI test designed for the workplace and engaged in a conflict management exercise during which they were videotaped. In the exercise, managers spontaneously responded to video-based vignettes in which “employees” addressed them regarding a work-related conflict (e.g. a disagreement regarding tasks and working hours). Independent observers ( n = 262) rated the managers’ videotaped responses on items tapping warmth, competence and conflict management effectiveness. Findings Managers with higher performance-based EI (in particular, emotion regulation in oneself and emotion management in others) received higher observer ratings on warmth, competence and conflict management effectiveness. Warmth and competence fully mediated the link between EI and effectiveness. Originality/value These results demonstrate that managers’ performance-based EI translates into actual work-related behaviors and outcomes. Implications for training EI and effective conflict management are discussed.Item The Adoption of MBA Programs in Germany: An Institutional Perspective(Academy of Management, 2023)This study examines the adoption of MBA programs by higher education institutions in Germany. Using arguments from neo-institutional theory and imprinting theory, we propose that private ownership, mimetic processes, and founding period are likely to impact MBA adoption. In an empirical analysis of 86 German universities over the period 1999–2015, we show that private universities are more likely to offer MBA programs. For public universities, we find that prior adoption by other universities and an early foundation period (prior to World War II) positively influence MBA adoption. Interaction analyses show that the positive impact of prior adoption by other universities is attenuated by organizational status and augmented by the regional density of academic institutions. Our findings thus elucidate the major role of institutional factors for the diffusion of MBA programs among German universities.Item The Value of Control in Private Companies(De Gruyter, 2025-05)The controlling shareholder of a company has the potential to extract private benefits of control (PBC). In contrast to shared benefits, PBC are proceeds that accrue only to the majority shareholders. They can take a variety of forms that range from outright theft to a (covert) compensation for private costs incurred in controlling the company. It is notoriously difficult to measure PBC and the literature only provides a rough guidance based on two methods: the control premium method and the voting premium method. These two methods are based on the logic that PBC must be the reason why the controlling shareholder pays a premium over the market price for a controlling block or why voting and non-voting shares are priced differently. This paper introduces a third method to estimate the PBC. We look at the discount (compared to a baseline valuation made at the controlling level) that minority shareholders ask to invest in a company. In the context of private companies, we find a discount of 16.72 % that translates into estimated PBC of 20.08 % (premium per share). We argue that the discount for lack of control can be explained as a discount for private benefits.Item The use of continuous action representations to scale deep reinforcement learning for inventory control(Oxford University Press (OUP), 2025)Abstract Accepted by: M. Zied Babai Deep reinforcement learning (DRL) can solve complex inventory problems with a multi-dimensional state space. However, most approaches use a discrete action representation and do not scale well to problems with multi-dimensional action spaces. We use DRL with a continuous action representation for inventory problems with a large (multi-dimensional) discrete action space. To obtain feasible discrete actions from a continuous action representation, we add a tailored mapping function to the policy network that maps the continuous outputs of the policy network to a feasible integer solution. We demonstrate our approach to multi-product inventory control. We show how a continuous action representation solves larger problem instances and requires much less training time than a discrete action representation. Moreover, we show its performance matches state-of-the-art heuristic replenishment policies. This promising research avenue might pave the way for applying DRL in inventory control at scale and in practice.