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

AvKarl R. Lang,Jennifer Xu

Häftad, Engelska, 2021

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-01-31
Mått:155 x 235 x 14 mm
Vikt:382 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Business Information Processing
Antal sidor:237
Förlag:Springer Nature Switzerland AG
ISBN:9783030677800

Utforska kategorier

E-handel inom Ekonomi och Ledarskap
Informationsteknik: allmänt inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

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.