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Purpose

In the crowd intelligence networking era, the smart connections of human, machines and things enable point-to-point trustable transactions and distributed efficient collaboration; the smart connections among government, enterprises, organizations and the public would enable active participation of the public in society management and decision-making and improve the efficiency of government management and services. All interactions among various agents can be viewed as the transaction activity. The social division of labor system drives the evolution of transaction. The transaction mode also differentiated into different patterns with the development of human society. What will be the intelligent transaction in the crowd intelligence networking era? What will be the transactions modes and rules in the crowd intelligence networking era? The answers to these questions are of great importance to the future development of transactions.

Design/methodology/approach

The authors review the evolution of traditional transaction and transaction modes and analyze the driving forces of it. They attempt to give the definitions of intelligent transaction and intelligent transaction mode. They also review the traditional transaction modes and rules, analyze the characteristics of the intelligent transaction and classify the intelligent transaction modes.

Findings

The authors find the intelligent transaction is mainly reflected in the intellectualization of transaction subject, transaction object and transaction process. They summarize the characteristics of intelligent transaction and develop four modes for the intelligent transactions based on the modularization level of the transaction objects and the quantity of transaction subjects, including the demand side and the supply side. The authors also show representative examples to further illustrate rules and features of these transaction modes and point out the potential research directions.

Originality/value

This study is among the first to analyze the characteristics of the intelligent transaction, and the proposed division framework of the intelligent transaction modes could not only add value to the future research of intelligent transaction modes and rules but also help to guide the transactions in the crowd intelligence network.


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Intelligent transaction: definition, modes, and research directions

Show Author's information Leiju Qiu1Yang Zhao1( )Qian Liu1Baowen Sun1Xiaolin Wu2
China Center for Internet Economy Research, Central University of Finance and Economics, Beijing, China
Department of Finance, China Mobile Communications Group Co. Ltd, Beijing, China

Abstract

Purpose

In the crowd intelligence networking era, the smart connections of human, machines and things enable point-to-point trustable transactions and distributed efficient collaboration; the smart connections among government, enterprises, organizations and the public would enable active participation of the public in society management and decision-making and improve the efficiency of government management and services. All interactions among various agents can be viewed as the transaction activity. The social division of labor system drives the evolution of transaction. The transaction mode also differentiated into different patterns with the development of human society. What will be the intelligent transaction in the crowd intelligence networking era? What will be the transactions modes and rules in the crowd intelligence networking era? The answers to these questions are of great importance to the future development of transactions.

Design/methodology/approach

The authors review the evolution of traditional transaction and transaction modes and analyze the driving forces of it. They attempt to give the definitions of intelligent transaction and intelligent transaction mode. They also review the traditional transaction modes and rules, analyze the characteristics of the intelligent transaction and classify the intelligent transaction modes.

Findings

The authors find the intelligent transaction is mainly reflected in the intellectualization of transaction subject, transaction object and transaction process. They summarize the characteristics of intelligent transaction and develop four modes for the intelligent transactions based on the modularization level of the transaction objects and the quantity of transaction subjects, including the demand side and the supply side. The authors also show representative examples to further illustrate rules and features of these transaction modes and point out the potential research directions.

Originality/value

This study is among the first to analyze the characteristics of the intelligent transaction, and the proposed division framework of the intelligent transaction modes could not only add value to the future research of intelligent transaction modes and rules but also help to guide the transactions in the crowd intelligence network.

Keywords: Crowd science, Crowd intelligence network, Intelligent transaction, Transaction mode, Transaction rule

References(8)

Baba, N., Sakurai, Y. and Packer, F. (2012), “Foreign exchange futures, forwards, and swaps”, in Handbook of Exchange Rates, John Wiley and Sons, Hoboken, NJ.https://doi.org/10.1002/9781118445785.ch23
DOI

Brynjolfsson, E. and Smith, M.D. (2000), “Frictionless commerce? A comparison of internet and conventional retailers”, Management Science, Vol. 46 No. 4, pp. 563-585.

Chai, Y., Miao, C., Sun, B., Zheng, Y. and Li, Q. (2017), “Crowd science and engineering: concept and research framework”,International Journal of Crowd Science, Vol. 1 No. 1, pp. 2-8.

He, Q. (2010), The Theory of Exchange, Xinhua Publishing House, Beijing.
Johnson, M.W. (2010), Seizing the White Space: Business Mode Innovation for Growth and Renewal, Harvard Business Press, Boston, MA.
Kotler, P. and Armstrong, G. (2010), Principles of Marketing, Pearson education, London.

Myerson, R.B. (1981), “Optimal auction design”, Mathematics of Operations Research, Vol. 6 No. 1, pp. 58-73.

Sundararajan, A. (2016), The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism, The MIT Press, Cambridge, MA.
Publication history
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Publication history

Received: 20 August 2018
Revised: 23 January 2019
Accepted: 29 January 2019
Published: 03 April 2019
Issue date: June 2019

Copyright

© The author(s)

Acknowledgements

Acknowledgements

The authors thank the participants in the International Conference on Crowd Science and Engineering (ICCSE’ 2018) for their useful comments. All remaining errors are the authors’. They are grateful for the financial support from the National Key Research and Development Program of China (2017YFB1400100), the National Nature Science Foundation of China (NSFC71804206 and71702206), the Beijing Social Science Foundation Research Base Project (16JDYJB037, 17JDYJB018).

Rights and permissions

Leiju Qiu, Yang Zhao, Qian Liu, Baowen Sun and Xiaolin Wu. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

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