International Journal of Crowd Science 2017, 1(1): 39-47 https://doi.org/10.1108/IJCS-01-2017-0002

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Open Access | Issue | Published: 06 March 2017

Crowd wisdom drives intelligent manufacturing

Show Author's Information Hide Author's Information Jiaqi Lu, Shijun Liu(

), Lizhen Cui, Li Pan, Lei Wu

Shandong University, Jinan, China

Keywords:

Big Data, Crowd science, Crowd wisdom, Intelligent manufacturing

Cite this article:

Lu J, Liu S, Cui L, et al. Crowd wisdom drives intelligent manufacturing. International Journal of Crowd Science, 2017, 1(1): 39-47. https://doi.org/10.1108/IJCS-01-2017-0002

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Abstract Full text About this article

Abstract

Purpose

A fundamental problem for intelligent manufacturing is to equip the agents with the ability to automatically make judgments and decisions. This paper aims to introduce the basic principle for intelligent crowds in an attempt to show that crowd wisdom could help in making accurate judgments and proper decisions. This further shows the positive effects that crowd wisdom could bring to the entire manufacturing process.

Design/methodology/approach

Efforts to support the critical role of crowd wisdom in intelligent manufacturing involve theoretical explanation, including a discussion of several prevailing concepts, such as consumer-to-business (C2B), crowdfunding and an interpretation of the contemporary Big Data mania. In addition, an empirical study with three business cases was conducted to prove the conclusion that our ideas could well explain the current business phenomena and guide the future of manufacturing.

Findings

This paper shows that crowd wisdom could help make accurate judgments and proper decisions. It further shows the positive effects that crowd wisdom could bring to the entire manufacturing process.

Originality/value

The paper highlights the importance of crowd wisdom in manufacturing with sufficient theoretical and empirical analysis, potentially providing a guideline for future industry.

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About this article

Crowd wisdom drives intelligent manufacturing

Show Author's information Hide Author's Information Jiaqi Lu, Shijun Liu(

), Lizhen Cui, Li Pan, Lei Wu

Shandong University, Jinan, China

Abstract

Purpose

Design/methodology/approach

Findings

This paper shows that crowd wisdom could help make accurate judgments and proper decisions. It further shows the positive effects that crowd wisdom could bring to the entire manufacturing process.

Originality/value

The paper highlights the importance of crowd wisdom in manufacturing with sufficient theoretical and empirical analysis, potentially providing a guideline for future industry.

Keywords: Big Data, Crowd science, Crowd wisdom, Intelligent manufacturing

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Publication history

Acknowledgements

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Publication history

Received: 04 November 2016

Revised: 13 January 2017

Accepted: 17 January 2017

Published: 06 March 2017

Issue date: March 2017

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Acknowledgements

The authors would like to acknowledge the support provided by the Fundamental Research Funds of Shandong University, the National Natural Science Foundation of China (61402263, 61503217), the National High Technology Research and Development Program of China (2014AA01A302), the special funds of Taishan Scholar Construction Project, the Independent Innovation Projects of Shandong Province (2014ZZCX08102, 2014ZZCX03409) and the Natural Science Foundation of Shandong Province (ZR2014FQ031, ZR2014FP002).

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Jiaqi Lu, Shijun Liu, Lizhen Cui, Li Pan and Lei 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