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Reputation, trust, and norms as mechanisms forming academic reciprocity in data sharing: an empirical test of theory of collective action
Aslib Journal of Information Management ( IF 2.4 ) Pub Date : 2022-05-13 , DOI: 10.1108/ajim-08-2021-0242
Youngseek Kim 1
Affiliation  

Purpose

This research investigated how biological scientists' perceived academic reputation, community trust, and norms all influence their perceived academic reciprocity, which eventually leads to their data sharing intentions.

Design/methodology/approach

A research model was developed based on the theory of collective action, and the research model was empirically evaluated by using the Structural Equation Modeling method based on a total of 649 survey responses.

Findings

The results suggest that perceived academic reputation significantly increases perceived community trust, norm of data sharing, and academic reciprocity. Also, both perceived community trust and norm of data sharing significantly increases biological scientists' perceived academic reciprocity, which significantly affect their data sharing intentions. In addition, both perceived community trust and norm of data sharing significantly affect the relationship between perceived academic reciprocity and data sharing intention.

Research limitations/implications

This research shows that the theory of collective action provides a new theoretical lens for understanding scientists' data sharing behaviors based on the mechanisms of reputation, trust, norm, and reciprocity within a research community.

Practical implications

This research offers several practical implications for facilitating scientists' data sharing behaviors within a research community by increasing scientists' perceived academic reciprocity through the mechanisms of reputation, trust, and norm of data sharing.

Originality/value

The collective action perspective in data sharing has been newly proposed in this research; the research sheds light on how scientists' perceived academic reciprocity and data sharing intention can be encouraged by building trust, reputation, and norm in a research community.



中文翻译:

声誉、信任和规范作为在数据共享中形成学术互惠的机制:集体行动理论的实证检验

目的

这项研究调查了生物科学家感知的学术声誉、社区信任和规范如何影响他们感知的学术互惠,最终导致他们的数据共享意图。

设计/方法/方法

建立了基于集体行动理论的研究模型,并根据总共 649 份调查回复,使用结构方程建模方法对研究模型进行了实证评估。

发现

结果表明,感知学术声誉显着增加感知社区信任、数据共享规范和学术互惠。此外,感知到的社区信任和数据共享规范都显着增加了生物科学家的学术互惠感知,这显着影响了他们的数据共享意图。此外,感知社区信任和数据共享规范均显着影响感知学术互惠与数据共享意愿之间的关系。

研究限制/影响

这项研究表明,集体行动理论为理解科学家基于研究社区内的声誉、信任、规范和互惠机制的数据共享行为提供了一个新的理论视角。

实际影响

本研究通过数据共享的声誉、信任和规范机制增加科学家感知的学术互惠,为促进科学家在研究社区内的数据共享行为提供了若干实际意义。

原创性/价值

本研究新提出了数据共享中的集体行动观点;该研究揭示了如何通过在研究社区中建立信任、声誉和规范来鼓励科学家感知的学术互惠和数据共享意图。

更新日期:2022-05-13
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