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Market Engineering

Overview of attention for book
Cover of 'Market Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Information and Market Engineering at KIT: Quo Vadis?
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    Chapter 2 Market Success: The Quest for the Objectives and Success Factors of Markets
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    Chapter 3 Decision Analytics for Initial Public Offerings: How Filing Sentiment Influences Stock Market Returns
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    Chapter 4 Taxonomy Development for Business Research: A Hands-On Guideline
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    Chapter 5 Understanding Emotions in Electronic Auctions: Insights from Neurophysiology
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    Chapter 6 Studying Conceptual Modeling Processes: A Modeling Tool, Research Observatory, and Multimodal Observation Setup
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    Chapter 7 Engineering Energy Markets: The Past, the Present, and the Future
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    Chapter 8 Can Immersive Systems Help Address Sustainability Goals? Insights from Research in Information Systems
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    Chapter 9 How at the Institute of Information Systems and Marketing One Thing Leads to Another and Eventually Results in a Low-Trade Theorem
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    Chapter 10 On the Potency of Online User Representation: Insights from the Sharing Economy
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    Chapter 11 Legal Tech and Lawtech: Towards a Framework for Technological Trends in the Legal Services Industry
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    Chapter 12 The Socialoid: A Computational Model of a City
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    Chapter 13 Data Analytics for Smart Decision-Making and Resilient Systems
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    Chapter 14 Academic Poem for Christof
Attention for Chapter 10: On the Potency of Online User Representation: Insights from the Sharing Economy
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Citations

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Chapter title
On the Potency of Online User Representation: Insights from the Sharing Economy
Chapter number 10
Book title
Market Engineering
Published by
Springer, Cham, April 2021
DOI 10.1007/978-3-030-66661-3_10
Book ISBNs
978-3-03-066660-6, 978-3-03-066661-3
Authors

Timm Teubner, Marc T. P. Adam, Florian Hawlitschek, Teubner, Timm, P. Adam, Marc T., Hawlitschek, Florian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor > Associate Professor 1 17%
Other 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 33%
Unspecified 1 17%
Computer Science 1 17%
Business, Management and Accounting 1 17%
Unknown 1 17%