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Generative AI tools in customer service : beyond the hype of "prompt engineering"

Deecke, Thedda; Wulfmeyer, Sina; Schögel, Marcus - In: Marketing review St. Gallen : Marketingfachzeitschrift … 40 (2023) 6, pp. 22-31

Persistent link: https://www.econbiz.de/10014419622

Addressing the privacy paradox on the organizational level : review and future directions

Gotsch, Mauro Luis; Schögel, Marcus - In: Management review quarterly 73 (2023) 1, pp. 263-296

Persistent link: https://www.econbiz.de/10014227430

Distributionsmanagement : das Management der Absatzkanäle

Schögel, Marcus - 2012

Persistent link: https://www.econbiz.de/10009654984

Kooperationsfähigkeiten im Marketing : Eine empirische Untersuchung

Schögel, Marcus - 2006

Persistent link: https://www.econbiz.de/10004909751

Interaktives Marketing : Neue Wege zum Dialog mit Kunden

Belz, Christian - 2008

Persistent link: https://www.econbiz.de/10004923609

Innovation Driven Marketing : vom Trend zur innovativen Marketinglösung

Belz, Christian (ed.); Schögel, Marcus (contributor); … - 2007 - 1. Aufl.

Persistent link: https://www.econbiz.de/10003389241

Innovation Driven Marketing : Vom Trend zur innovativen Marketinglösung

Belz, Christian - 2007

Persistent link: https://www.econbiz.de/10008756775

Grundprinzipien des Channel-Managements

Schögel, Marcus; Pernet, Nicolas - 2010 - 1. Aufl., Ausg.: N1050

Persistent link: https://www.econbiz.de/10008911694

Profiting from customer relationship management

Herhausen, Dennis; Schögel, Marcus - In: Management Decision 51 (2013) 8, pp. 1678-1700

Purpose – This study aims to examine the direct and moderating effects of generative learning on customer performance. Design/methodology/approach – The authors test the relationships between customer relationship management (CRM) capabilities, generative learning, customer performance, and...

Persistent link: https://www.econbiz.de/10014935884