专业虚拟社区知识增值的路径模型建构

赵欣, 赵琳, 李佳倩

知识管理论坛 ›› 2021, Vol. 6 ›› Issue (1) : 37-45.

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PDF(1337 KB)
知识管理论坛 ›› 2021, Vol. 6 ›› Issue (1) : 37-45. DOI: 10.13266/j.issn.2095-5472.2021.004
学术探索

专业虚拟社区知识增值的路径模型建构

作者信息 +

Study on Paths Model of Knowledge Proliferation in Professional Virtual Community

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文章历史 +

摘要

[目的/意义] 基于Delone & Mclean的成功模型,提出检验专业虚拟社区成功与否的标准——知识增值,指出知识应用过程可以提炼通用知识、修正已有知识、拓展原理论、引入新理论,建构了专业虚拟社区实现知识增值的路径模型。[方法/过程] 基于332份问卷数据,采用结构方程模型,本文实证检验了专业虚拟社区知识增值的四条路径。[结果/结论] 研究发现,用户搜寻知识,应用并修正知识、应用并开发新理论,而后将新知识回馈给PVC,是专业虚拟社区实现知识增值的主要路径。

Abstract

[Purpose/significance] Based on Delone & Mclean's IS success model, This paper proposes a criterion, knowledge proliferation, to test the success of professional virtual community. In view of the shortcomings of the current research, this paper introduces the knowledge utilization, and points out that the knowledge application process can refine the general knowledge, modify the existing knowledge, expand the original theory and introduce the new theory. Then, this paper construct the paths model of knowledge proliferation in professional virtual community. [Method/process] Based on 332 valid questionnaires and using structural equation model, this paper empirically tested four paths of knowledge proliferation in professional virtual community. [Results/conclusion] The research finds that users first search for knowledge, then apply and modify knowledge, apply and develop new theories, and finally feed new knowledge back to PVC, which is the main paths to realize knowledge proliferation in professional virtual community.

关键词

专业虚拟社区 / 知识增值 / 知识应用 / 路径模型

Key words

professional virtual community / knowledge proliferation / knowledge utilization / path model

引用本文

导出引用
赵欣 , 赵琳 , 李佳倩. 专业虚拟社区知识增值的路径模型建构[J]. 知识管理论坛. 2021, 6(1): 37-45 https://doi.org/10.13266/j.issn.2095-5472.2021.004
Zhao Xin , Zhao Lin , Li Jiaqian. Study on Paths Model of Knowledge Proliferation in Professional Virtual Community[J]. Knowledge Management Forum. 2021, 6(1): 37-45 https://doi.org/10.13266/j.issn.2095-5472.2021.004
中图分类号: G203   

参考文献

[1]
CHEN C J, HUNG S W. To give or to receive? factors influencing members’ knowledge sharing and community promotion in professional virtual communities [J]. Information & management, 2010, 47(4):226-236.
[2]
DELONE W H, MCLEAN E R. The DeLone and McLean Model of information systems success: a ten-year update[J]. Journal of management information systems, 2003, 19(4):9-30.
[3]
CHEN I Y L. The factors influencing members' continuance intentions in professional virtual communities — a longitudinal study [J]. Journal of information science, 2007, 33(4):451-467.
[4]
LIN H F. Determinants of successful virtual communities: contributions from system characteristics and social factors [J]. Information & management, 2008, 45(8):522-527.
[5]
CHIU C M, HSU M H, WANG E T G. Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories [J]. Decision support systems, 2006, 42(3):1872–1888.
[6]
ZHENG Y M, ZHAO K, STYLIANOU A. The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: an empirical investigation [J]. Decision support systems, 2013, 56(1):513-524.
[7]
GANG K W, RAVICHANDRAN T. Exploring the determinants of knowledge exchange in virtual communities [J]. IEEE transactions on engineering management, 2015, 62(1):89-99.
[8]
PARK J H, GU B, LEUNG A C M, et al. An investigation of information sharing and seeking behaviors in online investment communities[J]. Computers in human behavior, 2014, 31(FEB.):1-12.
[9]
YAN Y L, DAVISON R M. Exploring behavioral transfer from knowledge seeking to knowledge contributing: the mediating role of intrinsic motivation [J]. Journal of the American Society for Information Science & Technology, 2013, 64(6):1144–1157.
[10]
李力. 虚拟社区用户持续知识共享意愿影响因素实证研究——以知识贡献和知识搜寻为视角[J]. 信息资源管理学报, 2016 (6):91-100.
[11]
赵欣,王倩雯,张长征. 从知识搜寻者到知识贡献者——PVC用户角色转变的机理研究[J]. 情报科学, 2017 (10):20-24.
[12]
赵欣,李佳倩,赵琳,等.在线社区的知识增值:用户行为与用户信任的互惠关系研究[J].现代情报,2020,40(10):84-92.
[13]
ZACK M H. Managing codified knowledge [J]. Sloan management review, 1999,40(4):45-58.
[14]
李金明, 戴昌钧. 知识原理、知识具体与企业知识创新[J]. 南开管理评论, 2002, 5(1):70-74.
[15]
汤建民. 类比源、类比泉和类比知识单元[J]. 科学学研究, 2003, 21(5):467-469.
[16]
MARKUS M L, MAJCHRAZAK A, GASSER L. A design theory for systems that support emergent knowledge process [J]. MIS quarterly, 2002,26(3):179-212.
[17]
YAKHLEF A. Knowledge transfer as the transformation of context[J]. Journal of high technology management research, 2007, 18(1):43-57.
[18]
MARKUS M L. Toward a theory of knowledge reuse: types of knowledge reuse situations and factors in reuse success[J]. Journal of management information systems, 2001, 18(1):57-93.
[19]
黄梦婷, 张鹏翼. 社会化问答社区的协作方式与效果研究:以知乎为例[J]. 图书情报工作, 2015,54(12):85-92.
[20]
CHEN L, BAIRD A, STRAUB D. Why do participants continue to contribute? evaluation of usefulness voting and commenting motivational affordances within an online knowledge community[J]. Decision support systems, 2019, 118(3): 21-32.
[21]
BHATTACHERJEE A. Understanding information systems continuance: an expectation-confirmation model[J]. MIS quarterly, 2001, 25(3):351-370.
[22]
BHATTACHERJEE A, BARFAR A. Information technology continuance research: current state and future directions[J]. Asia Pacific journal of information systems, 2011, 21(2):1-18.
[23]
ARASE Y, XIE X, HARA T, et al. Mining people's trips from large scale geo-tagged photos[C]// Proceedings of international conference on multimedia 2010. Firenze: DBLP, 2010:133-142.
[24]
BRAUNHOFER M, RICCI F. A context-aware model for proactive recommender systems in the tourism domain[C]// Proceedings of international conference on human-computer interaction with mobile devices and services adjunct. New York: ACM, 2015:1070-1075.
[25]
蒋建洪, 马瑞云. 基于文本挖掘的个性化旅游偏好特征属性分析[J]. 企业经济, 2017(12):129-133.
[26]
ALAVI M, LEIDNER D E. Review: Knowledge management and knowledge management systems: conceptual foundations and research issues [J]. MIS quarterly, 2001,25(1):107-136.

作者贡献说明:

赵欣: 提出知识增值概念、路径假设,修改论文;

赵琳: 进行数据分析与论文执笔;

李佳倩: 进行数据收集与数据分析。

基金

国家自然科学基金面上项目“在线社区的知识共建:用户检验行为与个人-大众知识转化研究”(71872149)
国家自然科学基金青年项目“专业虚拟社区与企业电子知识库间的知识转移研究:大数据与用户行为相结合的视角”(71402136)
陕西省教育厅人文社会科学专项“专业虚拟社区的知识增值过程研究——探索新兴网络中的知识创造规律”(18JK0544)

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