Grasp how mobile, big data, and analytics are combining to change business processes Right Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and Big Data illustrates how businesses can use mobility, big data, and analytics to enhance or change business processes,...

chapter 1. Analytics background and architectures -- chapter 2. Mathematical and statistical preliminaries -- chapter 3. Statistics for descriptive analytics -- chapter 4. Bayesian probability and inference -- chapter 5. Inferential statistics and predictive analytics -- chapter 6. Artificial...

Grundlagen der IT-gestützten Logistik -- IT-gestütztes Logistiksystem -- Informations- und Kommunikationstechnologien als Enabler -- Prozesse und Anwendungen der IT-gestützten Logistik (Beschaffungs-, Produktions-, Lager-, (Re-)Distributions-, Instandhaltungslogistik - Supply Chain) --...

Kennzeichnung, Erfolgsfaktoren und Ziele des Online-Marketings -- Verbreitung und Nutzung des Online-Marketings -- Ausgestaltung der Corporate Website -- Suchmaschinen-Marketing (SEO, SEA), Online-Werbung -- Social-Media-Marketing, E-Mail-Marketing, Affiliate-Marketing -- E-Commerce -- Trends im...

An important but often overlooked obstacle in multivariate discrete data models is the specification of endogenous covariates. Endogeneity can be modeled as latent or observed, representing competing hypotheses about the outcomes being considered. However, little attention has been applied to...

Using German firm-level data, an endogenous switching regression model within a production function framework is estimated in order to explore differences in labor productivity between IT outsourcing and non-IT outsourcing firms. This approach takes possible complementarities between IT...