Tilburg University

About: Tilburg University is a education organization based out in Tilburg, Noord-Brabant, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 5550 authors who have published 22330 publications receiving 791335 citations.

Firm-Level Political Risk: Measurement and Effects

Abstract: We adapt simple tools from computational linguistics to construct a new measure of political risk faced by individual US firms: the share of their quarterly earnings conference calls that they devote to political risks. We validate our measure by showing it correctly identifies calls containing extensive conversations on risks that are political in nature, that it varies intuitively over time and across sectors, and that it correlates with the firm's actions and stock market volatility in a manner that is highly indicative of political risk. Firms exposed to political risk retrench hiring and investment and actively lobby and donate to politicians. These results continue to hold after controlling for news about the mean (as opposed to the variance) of political shocks. Interestingly, the vast majority of the variation in our measure is at the firm level rather than at the aggregate or sector level, in the sense that it is neither captured by the interaction of sector and time fixed effects, nor by heterogeneous exposure of individual firms to aggregate political risk. The dispersion of this firm-level political risk increases significantly at times with high aggregate political risk. Decomposing our measure of political risk by topic, we find that firms that devote more time to discussing risks associated with a given political topic tend to increase lobbying on that topic, but not on other topics, in the following quarter.

Meta-analysis in marketing when studies contain multiple measurements

Abstract: Most meta-analyses in marketing contain studies which themselves contain multiple measurements of the focal effect. This paper compares alternative procedures to deal with multiple measurements through the analysis of synthetic data sets in a Monte Carlo study and a re-analysis of a published marketing data set. We show that the choice of procedure to deal with multiple measurements is by no means trivial and that it has implications for the results and for the validity of the generalizations derived from meta-analyses. Procedures that use the complete set of measurements outperform procedures that represent each study by a single value. The commonly used method of treating all measurements as independent performs reasonably well but is not preferable. We show that the optimal procedure to account for multiple measurements in meta-analysis explicitly deals with the nested error structure, i.e., at the measurement level and at the study level, which has not been practiced before in marketing meta-analyses.

Understanding the factors that promote employability orientation: The impact of employability culture, career satisfaction, and role breadth self-efficacy

Abstract: This study among 702 Dutch employees working in the health care and welfare sector examined individual and organizational factors that are related to workers' employability orientation and turnover intention. Additionally, push and pull motives were examined of employees who aimed to leave their job. Results indicated that a strong employability culture adds extra variance over and above individual factors such as career satisfaction and role breadth self-efficacy in the explanation of employability orientation, turnover intention, and push motives of employees who aim to leave their job. That is, employability culture is positively related to employability orientation, but negatively related to turnover intention and to push motives of those who aim to leave. Pull motives of employees who want to leave are explained by individual factors only, such as career dissatisfaction and role breadth self-efficacy, but not by employability culture. These findings suggest that organizations that need to adapt to changing environments should implement a strong employability culture, because such a culture stimulates employability orientations among their employees while simultaneously decreasing turnover intentions.

Consumer and Market Drivers of the Trial Probability of New Consumer Packaged Goods

Abstract: We examine the effect of consumer and market factors on the trial probability of new consumer packaged goods. We distinguish between three sources of variation in consumer trial probability: (1) within new products, across consumers; (2) within new products, over time; and (3) across new products. Hypotheses are developed for the different variables concerning their likely effect on trial probability. The hypotheses are tested on weekly household-panel scanner data on the occurrence and timing of first purchases for 239 new consumer packaged goods over a 52-week period after introduction for a sample of over 3,500 consumers. We combine these household panel purchase data with consumer questionnaire data, retail scanner data, data on advertising expenditure, and expert ratings. We find support for most hypotheses. One of our main findings is that the effects of the consumers' personal makeup on the probability that they will try the new product are systematically moderated by elements of the marketing strategy associated with the new product and by category characteristics. The extensive data set provides a strong context for the generalizability of the findings.

Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis.

Abstract: Importance Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures Patient Health Questionnaire–9 (PHQ-9) scores. Results Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, −0.8; 95% CI, −1.4 to −0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9. Conclusions and Relevance In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.