情报研究

人文学者数字囤积行为模式及形成机理探索——基于关键事件技术法的访谈

  • 贾明霞 ,
  • 赵宇翔 ,
  • 宋小康
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  • 1 南京理工大学经济管理学院 南京 210094;
    2 徐州医科大学管理学院 徐州 221004
贾明霞,博士研究生;宋小康,讲师,博士。

收稿日期: 2022-07-21

  修回日期: 2022-10-07

  网络出版日期: 2023-03-04

基金资助

本文系国家自然科学基金面上项目“公共文化服务领域开放数据的价值共创机制及实现模式研究”(项目编号:72074112)研究成果之一。

The Behavioral Pattern and Formation Mechanism of Digital Hoarding Among Humanists: Evidences from Critical Incident Interviews

  • Jia Mingxia ,
  • Zhao Yuxiang ,
  • Song Xiaokang
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  • 1 School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094;
    2 School of Management, Xuzhou Medical University, Xuzhou 221004

Received date: 2022-07-21

  Revised date: 2022-10-07

  Online published: 2023-03-04

摘要

[目的/意义] 拓展并深化数字囤积的理论研究,针对人文学者的数字囤积行为进行情境化探索。[方法/过程] 采用半结构访谈、关键事件技术法和主题分析法研究人文学者的数字囤积行为。首先通过半结构化访谈采集19名人文学者数字囤积的关键事件,然后对访谈语料进行开放式编码,最终析出数字囤积相关的三大模块和7项子主题。[结果/结论] 多维度揭示人文学者在学术信息实践中的数字囤积行为,包括对人文学者数字囤积行为的概念化解析、行为模式的动态演化及囤积者类型的识别、数字囤积的情境因素挖掘,在此基础上构建多元要素和多情境方向发展的数字囤积行为形成机理模型。最后,从认知科学、行为科学和设计科学的理论视角以及量化自我的实践视角出发,为进一步探索和优化人文学者在数字化学术环境下的学术信息管理行为提供理论指导和实践参考。

本文引用格式

贾明霞 , 赵宇翔 , 宋小康 . 人文学者数字囤积行为模式及形成机理探索——基于关键事件技术法的访谈[J]. 图书情报工作, 2023 , 67(4) : 55 -67 . DOI: 10.13266/j.issn.0252-3116.2023.04.006

Abstract

[Purpose/Significance] Expand and deepen the theoretical research of digital hoarding, and conduct a contextualized exploration of the digital hoarding behavior of humanities scholars.[Method/Process] Semi-structured interviews, critical incident techniques and thematic analysis were used to study the digital hoarding behavior of humanities scholars. First, the key events of 19 humanists' digital hoarding were collected through semi-structured interviews, and then the interview corpus was open coded, and finally three modules and seven sub topics related to digital hoarding were separated out.[Result/Conclusion] This paper reveals the digital hoarding behavior of humanists in academic information practice from multiple dimensions, including the conceptual analysis of humanists' digital hoarding behavior, the dynamic evolution characteristics of behavior patterns and the identification of hoarders' types, and the mining of situational factors of digital hoarding. On this basis, it constructs a mechanism model of digital hoarding behavior with multiple factors and multi situational development. Finally, from the theoretical perspective of cognitive science, behavioral science and design science and the practical perspective of quantitative self, it provides theoretical guidance and practical reference for further exploring and optimizing the academic information management behavior of humanities scholars in the digital academic environment.

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