The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing
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Published By Springer International Publishing

9783030227838, 9783030227845

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_6 ◽

2019 ◽

pp. 53-62

Author(s):

Chenwei Li ◽

Patrick Y. K. Chau

Keyword(s):

Black Box ◽

Privacy Concern ◽

Self Disclosure ◽

On Demand ◽

Competing Models

Artificial Intelligence (AI) and Cognitive Apportionment for Service Flexibility

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_18 ◽

2019 ◽

pp. 182-189

Author(s):

Xue Ning ◽

Jiban Khuntia ◽

Abhishek Kathuria ◽

Benn R. Konsynski

Keyword(s):

Artificial Intelligence

You Are Not You When You Are Hungry: Machine Learning Investigation of Impact of Ratings on Ratee Decision Making

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_15 ◽

2019 ◽

pp. 151-161

Author(s):

Abhishek Kathuria ◽

Prasanna P. Karhade

Keyword(s):

Machine Learning ◽

Decision Making

An Empirical Investigation of Equity-Based Crowdfunding Campaigns in the United States

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_11 ◽

2019 ◽

pp. 111-123

Author(s):

Son Bui ◽

Quang “Neo” Bui

Keyword(s):

United States ◽

Empirical Investigation ◽

The United States

How Content Features of Charity Crowdfunding Projects Attract Potential Donors?

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_12 ◽

2019 ◽

pp. 124-131

Author(s):

DongIl Lee ◽

JaeHong Park

How Long Will Your Videos Remain Popular? Empirical Study of the Impact of Video Features on YouTube Trending Using Deep Learning Methodologies

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_19 ◽

2019 ◽

pp. 190-197

Author(s):

Min Gyeong Choe ◽

Jae Hong Park ◽

Dong Won Seo

Keyword(s):

Deep Learning ◽

Empirical Study ◽

The Impact

Ensemble Classification Method for Imbalanced Data Using Deep Learning

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_16 ◽

2019 ◽

pp. 162-170 ◽

Cited By ~ 1

Author(s):

Yoon Sang Lee

Keyword(s):

Deep Learning ◽

Imbalanced Data ◽

Ensemble Classification ◽

Classification Method

Color Trend Forecasting with Emojis

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_17 ◽

2019 ◽

pp. 171-181

Author(s):

Wenwen Li ◽

Michael Chau

Keyword(s):

Trend Forecasting

Impacts of Information Provision and Visualization on Collaborative Decision Making

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_4 ◽

2019 ◽

pp. 39-45

Author(s):

Anh Luong ◽

Karl R. Lang ◽

Shadi Shuraida

Keyword(s):

Decision Making ◽

Information Provision ◽

Collaborative Decision Making ◽

Collaborative Decision

Is a Blockchain-Based Game a Game for Fun, or Is It a Tool for Speculation? An Empirical Analysis of Player Behavior in Crypokitties

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-22784-5_14 ◽

2019 ◽

pp. 141-148

Author(s):

Jaehwan Lee ◽

Byungjoon Yoo ◽

Moonkyoung Jang

Keyword(s):

Empirical Analysis

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

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

Artificial Intelligence (AI) and Cognitive Apportionment for Service Flexibility

You Are Not You When You Are Hungry: Machine Learning Investigation of Impact of Ratings on Ratee Decision Making

An Empirical Investigation of Equity-Based Crowdfunding Campaigns in the United States

How Content Features of Charity Crowdfunding Projects Attract Potential Donors?

How Long Will Your Videos Remain Popular? Empirical Study of the Impact of Video Features on YouTube Trending Using Deep Learning Methodologies

Ensemble Classification Method for Imbalanced Data Using Deep Learning

Color Trend Forecasting with Emojis

Impacts of Information Provision and Visualization on Collaborative Decision Making

Is a Blockchain-Based Game a Game for Fun, or Is It a Tool for Speculation? An Empirical Analysis of Player Behavior in Crypokitties

The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - Lecture Notes in Business Information Processing
Latest Publications