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The Economics of E-Commerce and Networking Decisions

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Cover of 'The Economics of E-Commerce and Networking Decisions'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Inframarginal Versus Marginal Analysis of Networking Decisions and E-Commerce
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    Chapter 3 A Review of the Literature of Inframarginal Analysis of Network of Division of Labour
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    Chapter 4 E-Commerce, Transaction Cost, and the Network of Division of Labour: a Business Perspective
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    Chapter 5 An Equilibrium Model of Hierarchy
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    Chapter 6 A General Equilibrium Model with Impersonal Networking Decisions and Bundling Sales
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    Chapter 7 Legislation, Electronic Commerce and the Common Law: the Growing Legislative Framework, How it Compares Internationally and its Failings in Australia
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    Chapter 8 E-Commerce in China: Problems and Potential
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    Chapter 9 Towards a Theory of Impersonal Networking Decisions and Endogenous Structure of the Division of Labour
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    Chapter 10 Identification of Equilibrium Structures of Endogenous Specialization: a Unified Approach Exemplified
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    Chapter 11 Transaction Efficiency, Division of Labour and Foreign Direct Investment: a Unified Model
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    Chapter 12 The Division of Labour and the Allocation of Time
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    Chapter 13 An Indirect Approach to the Identification and Measurement of Transaction Costs
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    Chapter 14 An Empirical Study on the Division of Labour and Economic Structural Changes
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    Chapter 15 Endogenous Transaction Costs and Division of Labour
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Mentioned by

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1 Wikipedia page

Citations

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Readers on

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2 Mendeley
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Title
The Economics of E-Commerce and Networking Decisions
Published by
Palgrave Macmillan UK, January 2003
DOI 10.1057/9781403938374
ISBNs
978-1-349-43329-2, 978-1-4039-3837-4
Editors

Ng, Yew-Kwang, Shi, Heling, Sun, Guang-Zhen

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Other 1 50%
Readers by discipline Count As %
Unknown 2 100%

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