Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new...

Bei der Diskussion um die Finanzierung bzw. Eigenkapitalausstattung mittelständischer Unternehmen rücken gegenwärtig die Möglichkeiten zur Fremdkapitalaufnahme, neue Finanzierungsformen und damit die sich verändernden Rahmenbedingungen bei der Kreditvergabe an kleine und mittlere...

Bei der Diskussion um die Finanzierung bzw. Eigenkapitalausstattung mittelständischer Unternehmen rücken gegenwärtig die Möglichkeiten zur Fremdkapitalaufnahme, neue Finanzierungsformen und damit die sich verändernden Rahmenbedingungen bei der Kreditvergabe an kleine und mittlere...

In this article, we investigate the differences in smoking behavior between male Turkish immigrants and male Germans, using data from the German Socio-Economic Panel (SOEP). More specifically, we use a Blinder-Oaxaca decomposition method for count data models, and isolate differences in the...

This paper presents a multi-stakeholder approach for developing an appropriate privacy regulation in the age of big data. We develop our argument in five steps, starting (1) with a review of the current academic debate on privacy regulation. We analyze a dysfunctional mutual excludability...

This book offers a unique view of how innovativeness and competitiveness improve when organizations establish alliances with partners who have strong capabilities and broad social capital, allowing them to create value and growth as well as technological knowledge and legitimacy through new...

Research design and types -- Research methods -- Research problems and hypotheses -- Univariate data analysis -- Bivariate and multivariate data analysis -- Attribute data analysis -- Experimental design -- Survey sampling -- Data to knowledge

Through an intertemporal budget constraint, jurisdictions may gain advantages in tax and spending competition by 'competing' on debt. While the existing spatial econometric literature focuses on tax and spending competition, very little is known about spatial interaction via public debt. This...

This paper presents the treatment effects from participating in a subsidized vocational training program targeted at women residing in low-income households in India. We combine pre-intervention data with two rounds of post-intervention data from a randomized field experiment to quantify the 6-...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...

Through an intertemporal budget constraint, jurisdictions may gain advantages in tax and spending competition by 'competing' on debt. While the existing spatial econometric literature focuses on tax and spending competition, very little is known about spatial interaction via public debt. This...

Previous research on unemployment and life satisfaction has focused on the effects of unemployment on individuals but neglected the effects on their partners. In the present study, we used dyadic multilevel models to analyze longitudinal data from 2,973 couples selected from a German...

The rootogram is a graphical tool associated with the work of J. W. Tukey that was originally used for assessing goodness of t of univariate distributions. Here we show that rootograms are also useful for diagnosing and treating issues such as overdispersion and/or excess zeros in regression...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

Through an intertemporal budget constraint, jurisdictions may gain advantages in tax and spending competition by 'competing' on debt. While the existing spatial econometric literature focuses on tax and spending competition, very little is known about spatial interaction via public debt. This...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...

We show how the rootogram - a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions - can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper sheds light on the role of family networks in the dynamics of a West African labour market, i.e. in the transitions from unemployment to employment, from wage employment to self-employment, and from self-employment to wage employment. It investigates the effects of three dimensions of...