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The Ecosystem of e-Business: Technologies, Stakeholders, and Connections : 17th Workshop on e-Business, WeB 2018, Santa Clara, CA, USA, December 12, 2018, Revised Selected Papers / edited by Jennifer J. Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Xu, Jennifer J., editor.
Zhu, Bin, editor.
Liu, Xiao, editor.
Shaw, Michael J., editor.
Zhang, Han, editor.
Fan, Ming, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in business information processing 1865-1348 ; 357.
Lecture Notes in Business Information Processing, 1865-1348 ; 357
Language:
English
Subjects (All):
Electronic commerce.
Application software.
Computer security.
Machine learning.
e-Commerce/e-business.
e-Business/e-Commerce.
Computer Appl. in Administrative Data Processing.
Information Systems Applications (incl. Internet).
Privacy.
Machine Learning.
Local Subjects:
e-Commerce/e-business.
e-Business/e-Commerce.
Computer Appl. in Administrative Data Processing.
Information Systems Applications (incl. Internet).
Privacy.
Machine Learning.
Physical Description:
1 online resource (X, 199 pages) : 29 illustrations, 19 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
This book constitutes revised selected papers from the 17th Workshop on e-Business, WeB 2018, which took place in Santa Clara, CA, USA, in December 2018. The purpose of WeB is to provide an open forum for e-Business researchers and practitioners world-wide, to share topical research findings, explore novel ideas, discuss success stories and lessons learned, map out major challenges, and collectively chart future directions for e-Business. The WeB 2018 theme was "The Ecosystem of e-Business: Technologies, Stakeholders, and Connections." There was a total of 47 submissions and 41 papers were presented at the conference. Of these, 19 revised papers are presented in this volume. These contributions are organized in the following topical sections: social, policy, and privacy issues; e-market; FinTech; and artificial intelligence. .
Contents:
Social, Policy, and Privacy Issues
Impact of Social Media on Real Estate Sales
An Ecological Business Model for Intelligent Operation and Maintenance of Urban Infrastructure
Data-Driven Business Models and Professional Services Firms: A Strategic Framework and Transitionary Pathways
Impacts of Information Provision and Visualization on Collaborative Decision Making
Why Monetary Gift Giving? The Role of Immediacy and Social Interactivity
Revealing the Black Box of Privacy Concern: Understanding How Self-disclosure Affects Privacy Concern in the Context of On-demand Services through Two Competing Models
e-Market
Competitive Analysis of "Buy Online and Pick Up in Store" Channel
An Empirical Analysis of Brand Effects on Online Consumer Repurchase Behavior after Unsatisfied Experience
How to Sell Your House for More
How Do Novice Consumers Learn from Online Expert Reviews
FinTech
An Empirical Investigation of Equity-based crowdfunding Campaigns in the United States
How Content Features of Charity Crowdfunding Projects Attract Potential Donors? Empirical Study of the Role of Project Images and Texts
Do Achievement Goals and Work Nature Affect Contributor Performance in Gamified Crowdsourcing? An Exploratory Study in an Academic Setting
Is a Blockchain-based Game a Game for Fun or a Tool for Speculation? An Empirical Analysis of Player Behavior in Crypokitties
Artificial Intelligence
You Are Not You When You Are Hungry: Machine Learning Investigation of Impact of Ratings on Ratee Decision Making
Ensemble Classification Method for Imbalanced Data Using Deep Learning
Color Trend Forecasting with Emojis
Artificial Intelligence (AI) and Cognitive Apportionment for Service Flexibility
How Long Will Your Videos Remain Popular? Empirical Study of the Impact of Video Features on YouTube Trending Using Deep Learning Methodologies.
Other Format:
Printed edition:
ISBN:
978-3-030-22784-5
9783030227845
9783030227838
9783030227852
Access Restriction:
Restricted for use by site license.

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