Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Nick Deschacht is active.

Publication


Featured researches published by Nick Deschacht.


Journal of Occupational and Organizational Psychology | 2017

Cross-cultural differences in self-promotion: A study of self-citations in management journals

Nick Deschacht; Birgitt Maes

We study cross-cultural differences in self-promotion by comparing the self-citation behaviour of scholarly authors originating from individualist and collectivist cultures, using original data on 1,346 journal articles published between 2009 and 2014 in the fields of Management and Business. Our main finding is that articles by authors from individualist cultures are about twice as likely to contain many self-citations. Our results confirm the presence of a gender gap in self-citations, but we show that this effect is smaller than the cultural effect and that the effect appears to be stable across cultures. These findings show that the structure of rewards and costs associated with particular self-promotion tactics differ from culture to culture. Implications of cultural variations in self-promotion are discussed. Practitioner points We develop theory and provide empirical evidence about cultural and gender differences in self-promoting behaviour. As the workforce diversifies, a broader awareness of these differences might affect the actions of both employees and HR departments.


Measuring scholarly impact : methods and practice / Ding, Ying [edit.]; et al. | 2014

Limited Dependent Variable Models and Probabilistic Prediction in Informetrics

Nick Deschacht; Tim C.E. Engels

This chapter explores the potential for informetric applications of limited dependent variable models, i.e., binary, ordinal, and count data regression models. In bibliometrics and scientometrics such models can be used in the analysis of all kinds of categorical and count data, such as assessments scores, career transitions, citation counts, editorial decisions, or funding decisions. The chapter reviews the use of these models in the informetrics literature and introduces the models, their underlying assumptions and their potential for predictive purposes. The main advantage of limited dependent variable models is that they allow us to identify the main explanatory variables in a multivariate framework and to estimate the size of their (marginal) effects. The models are illustrated using an example data set to analyze the determinants of citations. The chapter also shows how these models can be estimated using the statistical software Stata.


Computers in Education | 2015

The effect of blended learning on course persistence and performance of adult learners

Nick Deschacht; Katie Goeman


Journal of Vocational Behavior | 2015

Why are unemployed aged fifty and over less likely to find a job? A decomposition analysis

Sarah Vansteenkiste; Nick Deschacht; Luc Sels


Explorations in Economic History | 2015

Rural crisis and rural exodus? Local migration dynamics during the crisis of the 1840s in Flanders (Belgium)☆

Nick Deschacht; Anne Winter


Journal of Labor Research | 2017

Part-Time Work and Women’s Careers: a Decomposition of the Gender Promotion Gap

Nick Deschacht


Archive | 2015

Examining adult learners’ persistence and performance in blended business education

Katie Goeman; Nick Deschacht


Archive | 2015

Selection bias in educational issues and the use of Heckman’s sample selection model

Nick Deschacht; Katie Goeman


LoopbaanVisie | 2015

Waarom komen werkloze 50-plussers moeilijk aan een baan?

Sarah Vansteenkiste; Nick Deschacht; Luc Sels


Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 459-479 | 2014

Persistence and Performance of Adult Learners in Blended Business Education

Katie Goeman; Nick Deschacht

Collaboration


Dive into the Nick Deschacht's collaboration.

Top Co-Authors

Avatar

Katie Goeman

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Sarah Vansteenkiste

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Luc Sels

The Catholic University of America

View shared research outputs
Top Co-Authors

Avatar

Anne Winter

Vrije Universiteit Brussel

View shared research outputs
Top Co-Authors

Avatar

Birgitt Maes

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Luc Sels

The Catholic University of America

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge