Smart Business: Technology and Data Enabled Innovative Business Models and Practices

18th Workshop on e-Business, WeB 2019, Munich, Germany, December 14, 2019, Revised Selected Papers
Herausgegeben:Lang, Karl R.; Xu, Jennifer; Zhu, Bin; Liu, Xiao; Shaw, Michael J.; Zhang, Han; Fan, Ming

• Broschiertes Buch

Produktbeschreibung

This book constitutes revised selected papers from the 18th Workshop on e-Business, WeB 2019, which took place in Munich, Germany, in December 2019.

The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2019 theme was "Smart Business: Technology and Data Enabled Innovative Business Models and Practices."

The 20 papers included in this volume were carefully reviewed and selected from a total of 42 submissions. The contributions are organized in topical sections as follows: crowdfunding and blockchain; business analytics; digital platforms and social media; managing e-Business projects and processes; and global e-Business.

Produktdetails

• Lecture Notes in Business Information Processing 403
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-67780-0
• 1st ed. 2020
• Seitenzahl: 248
• Erscheinungstermin: 31. Januar 2021
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 382g
• ISBN-13: 9783030677800
• ISBN-10: 303067780X
• Artikelnr.: 60759674

Inhaltsangabe

Crowdfunding and Blockchain.- How Social Networks Dynamics can affect Collaborative Decision Making on Crowdfunding Platforms.- Go in The Opposite Direction? The Impact of Unavailability on Crowdfunding Success.- The Challenges and Countermeasures of Blockchain Applications to Finance and Intellectual Property Management.- The Impact of Blockchain on Medical Tourism Medical.- Business Analytics.- Creating a Data Factory for Data Products - Practice Oriented Research.- An Empirical Investigation of Analytics Capabilities in the Supply Chain.- Finding Real-life Doppelgangers on Campus with MTCNN and CNN-based Face Recognition.- Time Series Analysis of Open Source Projects Popularity.