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 / Jennifer J. Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan (Eds.).
Workshop on E-Business (17th : 2018 : Santa Clara, Calif.); Xu, Jennifer J. editor.; Zhu, Bin, editor.; Liu, Xiao, editor.; Shaw, Michael J., editor.; Zhang, Han, editor.; Fan, Ming, editor.
2019
HF5415.1265 .W67 2018
Available Online

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Title 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 / Jennifer J. Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan (Eds.).
Meeting Name Workshop on E-Business (17th : 2018 : Santa Clara, Calif.)
ISBN 9783030227845 (electronic book)
3030227847 (electronic book)
9783030227838
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-22
Call Number HF5415.1265 .W67 2018
Dewey Decimal Classification 658.8/72
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.
Note Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on online resource; title from digital title page (viewed on August 05, 2019).
Added Author Xu, Jennifer J. editor.
Zhu, Bin, editor.
Liu, Xiao, editor.
Shaw, Michael J., editor.
Zhang, Han, editor.
Fan, Ming, editor.
Series Lecture notes in business information processing ; 357.
Available in Other Form Print version: 9783030227838
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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