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
tarafından
 
Xu, Jennifer J. editor. (orcid)0000-0001-5615-9967

Başlık
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

Yazar
Xu, Jennifer J. editor. (orcid)0000-0001-5615-9967

ISBN
9783030227845

Edisyon
1st ed. 2019.

Fiziksel Niteleme
X, 199 p. 29 illus., 19 illus. in color. online resource.

Seri
Lecture Notes in Business Information Processing, 357

İçindekiler
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.

Özet
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. .

Konu Başlığı
E-commerce.
 
E-business.
 
Electronic commerce.
 
Application software.
 
Computer security.
 
Machine learning.
 
e-Commerce/e-business. https://scigraph.springernature.com/ontologies/product-market-codes/I26000
 
e-Business/e-Commerce. https://scigraph.springernature.com/ontologies/product-market-codes/522060
 
Computer Appl. in Administrative Data Processing. https://scigraph.springernature.com/ontologies/product-market-codes/I2301X
 
Information Systems Applications (incl. Internet). https://scigraph.springernature.com/ontologies/product-market-codes/I18040
 
Privacy. https://scigraph.springernature.com/ontologies/product-market-codes/I28010
 
Machine Learning. https://scigraph.springernature.com/ontologies/product-market-codes/I21010

Yazar Ek Girişi
Xu, Jennifer J.
 
Zhu, Bin.
 
Liu, Xiao.
 
Shaw, Michael J.
 
Zhang, Han.
 
Fan, Ming.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-22784-5


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book428591-1001HF5415.1265Springer E-Book Collection