Data-driven decisions in enterprises - implications for business education and cases
Data driven business at Miele : an implementation case in the manufacturing industry / Stefan Breit, Yuan Liu -- Process mining as a tool for corporate value production / Alessandro Spano, Serena Racis, Sonia Cocco -- A cross-sector comparative analysis of a multidimensional framework of value creat...
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Format: | UnknownFormat |
Sprache: | eng |
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Berlin, Bruxelles, Istanbul, Lausanne, New York, Oxford
Peter Lang
2023
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Zusammenfassung: | Data driven business at Miele : an implementation case in the manufacturing industry / Stefan Breit, Yuan Liu -- Process mining as a tool for corporate value production / Alessandro Spano, Serena Racis, Sonia Cocco -- A cross-sector comparative analysis of a multidimensional framework of value creation through big data / Margareta Teodorescu, Ela Sibel Bayrak Meydanoğlu -- Data-driven security / Achim Schmidtmann -- AI enabled "just walkout technlology" in shopping malls : empirical evidence to predict consumer purchase intention with moderating role of shopping convenience / Suraj Shah, Maurvi Vasavada, Sameer Rohadia, Mahendra Sharma -- Business valuation methods in Europe : similarities and differences / Thomas Walther -- Applying situated visualization for supporting consumer decision making / Ela Sibel Bayrak Meydanoğlu -- Resource based theory : insights in a managerial point of view / Olta Nexhipi, Mario Gjoni, Erisa Musabelliu -- Data reports with dynamic documents : using R, Makdown, RStudio, Shiny / Wolfgang Kohn -- Analysis of an SME company using the Altman Z-Score model / Arjeta Hallunovi -- A constructive learning model for digital skills in treasury / Andreas Uphaus -- Using researched-based learning on barriers to digital transformation to impact student engagement during a pandemic / Sven Packmohr, Henning Brink -- Teaching business students to code : thoughts on why and how / Felix Zeidler. |
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Beschreibung: | 1. Bielefeld International Conference on Applied Business, BiCAB - Internet FH Bielefeld Pressemitteilung vom 12.05.2022 Literaturangaben |
Beschreibung: | 230 Seiten Illustrationen, Diagramme |
ISBN: | 9783631878712 978-3-631-87871-2 |