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International Journal of Crowd Science 2019, 3(2): 117-137 https://doi.org/10.1108/IJCS-01-2019-0007
Literature review | Open Access | Issue | Published: 16 July 2019

Knowledge payment research: status quo and key issues

Show Author's Information Tuotuo Qi,  Tianmei Wang( ),  Yanlin Ma,  Xinxue Zhou
Central University of Finance and Economics, Beijing, China
Keywords:
Knowledge payment, Knowledge demander, Knowledge payment platform, Knowledge provider, Paid Q&A, Knowledge supplier
Cite this article:
Qi T, Wang T, Ma Y, et al. Knowledge payment research: status quo and key issues. International Journal of Crowd Science, 2019, 3(2): 117-137. https://doi.org/10.1108/IJCS-01-2019-0007
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Abstract Full text About this article
Purpose

Knowledge sharing has entered the stage of knowledge payment with the typical models of paid Q&A, live session, paid subscription, course column and community service. Numerous knowledge suppliers have begun to pour into the knowledge payment market, and users' willingness to pay for premium content has increased. However, the academic research on knowledge payment has just begun.

Design/methodology/approach

In this paper, the authors searched several bibliographic databases using keywords such as “knowledge payment”, “paid Q&A”, “pay for answer”, “social Q&A”, “paywall” and “online health consultation” and selected papers from aspects of research scenes, research topics, etc. Finally, a total of 116 articles were identified for combing studies.

Findings

This study found that in the early research, scholars paid attention to the definition of knowledge payment concept and the discrimination of typical models. With the continuous enrichment of research literature, the research direction has gradually been refined into three main branches from the perspective of research objects, i.e. knowledge provider, knowledge demander and knowledge payment platform.

Originality/value

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, the authors found out conflicting and contradictory research results and research gaps in the existing research and then put forward the urgent research topics.


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About this article

Knowledge payment research: status quo and key issues

Show Author's information Tuotuo Qi, Tianmei Wang( ), Yanlin Ma, Xinxue Zhou
Central University of Finance and Economics, Beijing, China

Abstract

Purpose

Knowledge sharing has entered the stage of knowledge payment with the typical models of paid Q&A, live session, paid subscription, course column and community service. Numerous knowledge suppliers have begun to pour into the knowledge payment market, and users' willingness to pay for premium content has increased. However, the academic research on knowledge payment has just begun.

Design/methodology/approach

In this paper, the authors searched several bibliographic databases using keywords such as “knowledge payment”, “paid Q&A”, “pay for answer”, “social Q&A”, “paywall” and “online health consultation” and selected papers from aspects of research scenes, research topics, etc. Finally, a total of 116 articles were identified for combing studies.

Findings

This study found that in the early research, scholars paid attention to the definition of knowledge payment concept and the discrimination of typical models. With the continuous enrichment of research literature, the research direction has gradually been refined into three main branches from the perspective of research objects, i.e. knowledge provider, knowledge demander and knowledge payment platform.

Originality/value

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, the authors found out conflicting and contradictory research results and research gaps in the existing research and then put forward the urgent research topics.

Keywords: Knowledge payment, Knowledge demander, Knowledge payment platform, Knowledge provider, Paid Q&A, Knowledge supplier

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Publication history
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Publication history

Received: 30 January 2019
Revised: 09 May 2019
Accepted: 16 June 2019
Published: 16 July 2019
Issue date: September 2019

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© The author(s)

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Tuotuo Qi, Tianmei Wang, Yanlin Ma and Xinxue Zhou. 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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