Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Alternativ können Sie versuchen, selbst über Ihren lokalen Bibliothekskatalog auf das gewünschte Dokument zuzugreifen.
Bei Zugriffsproblemen kontaktieren Sie uns gern.
55 Ergebnisse
Sortierung:
SSRN
Working paper
SSRN
Working paper
SSRN
Working paper
In: NBER Working Paper No. w25223
SSRN
Working paper
SSRN
In: NBER Working Paper No. w23815
SSRN
Working paper
SSRN
In: MIT Sloan Research Paper No. 6925-23
SSRN
SSRN
Working paper
In: Journal of Economics & Management Strategy, Band 26, Heft 4, S. 782-805
SSRN
SSRN
Working paper
In: Cambridge Handbook of Surveillance Law
SSRN
SSRN
Working paper
In: Marketing intelligence review. [Englische Ausgabe], Band 8, Heft 2, S. 24-29
Abstract
The explosion of available data has created much excitement among marketing practitioners about their ability to better understand the impact of marketing investments. Big data allows for detecting patterns and often it seems plausible to interpret them as causal. While it is quite obvious that storks do not bring babies, marketing relationships are usually less clear. Apparent "causalities" often fail to hold up under examination. If marketers want to be sure not to walk into a causality trap, they need to conduct field experiments to detect true causal relationships. In the present digital environment, experiments are easier than ever to execute. However, they need to be prepared and interpreted with great care in order to deliver meaningful and genuinely causal results that help improve marketing decisions.
In: NBER Working Paper No. w22596
SSRN