This thesis provides an examination of judgement autonomy of Dutch commercial real estate valuers in relation to client orientation. The valuation of commercial real estate such as offices or retail properties requires in-depth analysis due to its uniqueness by location, building type and usage details. Essentially, a register-valuer is qualified and instructed to assess a property value to one’s best cognitive effort and inform others of this outcome by means of a valuation report. In the Netherlands, concerns over independence risks and client-related judgement risks of valuers have been raised by regulative authorities as the Dutch Central Bank (DNB) and the Dutch Authority for the Financial Markets (AFM). A significant part of these concerns followed the 2008 financial crisis, which appeared to be at least partially driven by unreliable and incomparable valuations of Dutch commercial real estate (AFM, 2014; DNB, 2012; 2015). Among other things, these concerns led to the instigation of the Nederlands Register Vastgoed Taxateurs (NRVT) in 2015. NRVT is a new Dutch central register of valuation practitioners set up in order to improve self-regulation, quality control and compliance of valuation practitioners. Currently, the chamber for commercial real estate valuation holds about 2,000 commercial valuation registrations (NRVT, 2020). The introduction of NRVT, and other measures taken, reflect an instrumental view towards enhancing professionalism of Dutch valuers. This view is based on a systematic orientation to professional conduct in which good practice is primarily objectively determined (Van Ewijk, 2019). However, Wassink and Bakker (2016) point out that individuals make personal choices in order to deal with work complexity. Insight into and reflection on individual choices is part of what is referred to as normative aspects of professionalisation: what norms prevail in individual judgement and decision-making and why (Van Ewijk, 2019). In this regard, insight into judgement reasoning of valuation practitioners may contribute to normative levels of professional development of valuers. The need for such is expressed through community concerns over how individual judgement autonomy may become subdued due to instrumental-driven developments taking place in the sector. The combination of authoritative concerns over professional quality in the Netherlands and lack of (scientific) insight on how client influence affects judgement in valuation practice poses a problem: How may practitioners address client-related judgement bias risks and improve valuation accuracy from this viewpoint, if little is known on how such risks may occur in daily practice? The seemingly scarce scientific insights available in this regard in the Netherlands may also prevent educational programs to adequately address valuer independence and objectivity risks in relevant training programs. In order to address this knowledge gap, the present PhD research examines the following research problem: 169 Summary “How does client orientation affect professional judgement autonomy of commercial real estate valuers in the Netherlands?” The term ‘client orientation’ should be broadly interpreted and may refer to valuers’ perception, understanding and meaning given to alleged, actual or anticipated client-related aspects. Information on such client aspects is not required for the performance of valuation instructions. It should also be noted that this research examines the context of how client orientation may affect valuer judgement reasoning patterns during work practice, yet not its effect in terms of decision on final value opinion.
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Previous research shows that automatic tendency to approach alcohol plays a causal role in problematic alcohol use and can be retrained by Approach Bias Modification (ApBM). ApBM has been shown to be effective for patients diagnosed with alcohol use disorder (AUD) in inpatient treatment. This study aimed to investigate the effectiveness of adding an online ApBM to treatment as usual (TAU) in an outpatient setting compared to receiving TAU with an online placebo training. 139 AUD patients receiving face-to-face or online treatment as usual (TAU) participated in the study. The patients were randomized to an active or placebo version of 8 sessions of online ApBM over a 5-week period. The weekly consumed standard units of alcohol (primary outcome) was measured at pre-and post-training, 3 and 6 months follow-up. Approach tendency was measured pre-and-post ApBM training. No additional effect of ApBM was found on alcohol intake, nor other outcomes such as craving, depression, anxiety, or stress. A significant reduction of the alcohol approach bias was found. This research showed that approach bias retraining in AUD patients in an outpatient treatment setting reduces the tendency to approach alcohol, but this training effect does not translate into a significant difference in alcohol reduction between groups. Explanations for the lack of effects of ApBM on alcohol consumption are treatment goal and severity of AUD. Future ApBM research should target outpatients with an abstinence goal and offer alternative, more user-friendly modes of delivering ApBM training.
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Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.
