RESEARCH PAPERS

Influencing Factors and Mechanisms of User Engagement in Public Digital Cultural Services

  • Liu Jiajing ,
  • Zhu Shenping ,
  • Yao Shanji ,
  • Zheng Jianming
Expand
  • 1 School of Economics and Management, Nanjing Tech University, Nanjing 211816;
    2 School of Information Management, Nanjing University, Nanjing 210023
Liu Jiajing, Lecturer, PhD; Zhu Shenping, Master’s Candidate; Yao Shanji, Dean, Professor, PhD; Zheng Jianming, Professor, PhD,Doctoral Supervisor, Corresponding Author, E-mail: zhengjm@nju.edu.cn.

Received date: 2025-07-03

  Revised date: 2025-10-21

  Online published: 2026-09-08

Supported by

This work is supported by the National Social Science Fund of China key project titled “Research on the Construction of Public Digital Culture Governance System in Digital and Intelligent Scenarios” (Grant No. 24&ZD182); and the youth project of Jiangsu Provincial Social Science Fund of China titled “Research on the Differentiated Paths for New Public Cultural Spaces in Jiangsu to Empower Balanced and Accessible Service Provision” (Grant No. 25ZHC026).

Abstract

[Purpose/Significance] This study explores the external and internal influencing mechanisms of user engagement in public digital cultural services (PDCS), which is of great theoretical and practical significance for enhancing user experience and improving PDCS effectiveness. [Method/Process] Based on the Stimulus-Organism-Response (S-O-R) theoretical framework, this study constructs a conceptual model of the influencing mechanisms of PDCS user engagement. It employs a fixed-mixed research method. Quantitative analysis is performed on questionnaire data via a structural equation model to test research hypotheses; qualitative analysis is performed on user interview data to interpret the findings and assist in the formulation of optimization strategies. [Result/Conclusion] The findings of this study indicate that in terms of the external influencing mechanism, expectation confirmation and trust beliefs have a significant positive impact on cognitive engagement. Basic psychological need satisfaction positively affects both cognitive and affective engagement, while privacy concerns have a significant negative impact on affective and behavioral engagement. Regarding the internal influencing mechanism, cognitive engagement positively drives affective and behavioral engagement, and affective engagement further exerts a positive influence on behavioral engagement. [Innovation/Value] Grounded in the research findings, this paper proposes three PDCS optimization strategies: adopting a user-engagement orientation, advancing culture-technology integration, and fostering a sustainable trust ecosystem.

Cite this article

Liu Jiajing , Zhu Shenping , Yao Shanji , Zheng Jianming . Influencing Factors and Mechanisms of User Engagement in Public Digital Cultural Services[J]. Library and Information Service, 2026 , 70(18) : 38 -55 . DOI: 10.13266/j.issn.0252-3116.2026.18.003

References

[1] 刘佳静,孙红蕾,张婷,等.国内外公共数字文化研究现状与展望[J].图书馆论坛, 2024, 44(4): 70-83. (LIU J J, SUN H L, ZHANG T, et al. Status and prospects of public digital culture studies at home and abroad[J]. Library tribune, 2024, 44(4): 70-83.)
[2] 余敏,完颜邓邓.公共数字文化服务需求影响因素研究[J].图书馆, 2020(3): 14-20. (YU M, WANYAN D D. Research on the factors affecting the demands of public digital cultural services[J]. Library, 2020(3): 14-20.)
[3] 张奎.公共图书馆文化旅游融合的数字化:作用机理与创新路径[J].国家图书馆学刊, 2023, 32(6): 38-49. (ZHANG K. Digitalization of cultural tourism integration in public libraries: mechanism and innovative path[J]. Journal of the National Library of China, 2023, 32(6): 38-49.)
[4] 光明日报.数字化赋能非物质文化遗产传承保护[EB/OL].[2025-10-10]. https://news.gmw.cn/2025-04/28/content_37994729.htm. (Guangming Daily. Empowering the inheritance and protection of intangible cultural heritage through digitalization[EB/OL].[2025-10-10]. https://news.gmw.cn/2025-04/28/content_37994729.htm.)
[5] 刘佳静,匡莉,潘婕,等.省级公共文化云微信用户持续使用意愿研究[J].图书馆杂志, 2022, 41(7): 47-57. (LIU J J, KUANG L, PAN J, et al. Research on users’ continuance intention for provincial public cultural cloud wechat[J]. Library journal, 2022, 41(7): 47-57.)
[6] 王锰,华钰文,陈雅. S-O-R理论视角下东部地区乡村公共数字文化服务用户流失行为研究[J].图书馆杂志, 2022, 41(2): 36-46. (WANG M, HUA Y W, CHEN Y. A study on user churn of rural public digital cultural services in eastern china from the perspective of S-O-R theory[J]. Library journal, 2022, 41(2): 36-46.)
[7] 刘佳静,姚山季,郑建明,等.公共数字文化服务用户契合:概念内涵与结构维度[J].图书情报工作, 2025, 69(23): 58-68. (LIU J J, YAO S J, ZHENG J M, et al. Conceptual connotation and structural dimensions of user engagement in public digital cultural services[J]. Library and information service, 2025, 69(23): 58-68.)
[8] 李彩宁.智能可穿戴健康技术(SWHTs)用户契合及对健康行为的影响研究[D].长春:吉林大学, 2023. (LI C N. Research on user engagement with smart wearable health technologies (SWHTs) and impacts on health behavior[D]. Changchun: Jilin University, 2023.)
[9] HSU C L. Applying cognitive evaluation theory to analyze the impact of gamification mechanics on user engagement in resource recycling[J]. Information & management, 2022, 59(2): e103602.
[10] IBRAHIM B, ALJARAH A. The role of social media marketing activities in driving self-brand connection and user engagement behavior on Instagram: a moderation-mediation approach[J]. European journal of innovation management, 2024, 27(5): 1723-1742.
[11] 张跃先,崔航,李慢.移动服务场景对顾客契合行为的影响:一个链式中介作用模型[J].管理现代化, 2022, 42(4): 65-76. (ZHANG Y X, CUI H, LI M. The effect of mobile service scape on customer engagement behaviors: a chain mediation model[J]. Modernization of management, 2022, 42(4): 65-76.)
[12] ZHAI M, CHEN Y. How do relational bonds affect user engagement in e-commerce livestreaming? The mediating role of trust[J]. Journal of retailing and consumer services, 2023, 71: e103239.
[13] CHARRY K, PONCIN I, KULLAK A, et al. Gamification’s role in fostering user engagement with healthy food-based digital content[J]. Psychology & marketing, 2024, 41(1): 69-85.
[14] JIAO Z, LI C, CHEN J. Knowledge platform affordances and knowledge collaboration performance: the mediating effect of user engagement[J]. Frontiers in psychology, 2022, 13: e1041767.
[15] 杨志勇,翟少铃.服务消费中人工智能信息透明与顾客契合的关系研究——基于顾客信任和拟人化的分析[J].价格理论与实践, 2022(4): 193-196. (YANG Z Y, ZHAI S L. Research on the relationship between artificial intelligence information transparency and customer engagement in service consumption——analysis based on customer trust and personification[J]. Price: theory & practice, 2022(4): 193-196.)
[16] ALGHARABAT R, RANA N P, ALALWAN A A, et al. Investigating the antecedents of customer brand engagement and consumer-based brand equity in social media[J]. Journal of retailing and consumer services, 2020, 53: e101767.
[17] 邵景波,张君慧,蔺晓东.什么驱动了顾客契合行为?——形成机理分析与实证研究[J].管理评论, 2017, 29(1): 155-165. (SHAO J B, ZHANG J H, LIN X D. What drives customer engagement behavior?——formation mechanism and empirical analysis[J]. Management review, 2017, 29(1): 155-165.)
[18] QU F, WANG N, ZHANG X, et al. Exploring the effect of use contexts on user engagement toward tourism short video platforms[J]. Frontiers in psychology, 2022, 13: e1050214.
[19] DAĞ K, ÇAVUŞOĞLU S, DURMAZ Y. The effect of immersive experience, user engagement and perceived authenticity on place satisfaction in the context of augmented reality[J]. Library hi tech, 2024, 42(4): 1331-1346.
[20] 冯颖如,杨忠瑞.虚拟社区特征与顾客契合行为关系的实证研究[J].商业经济研究, 2019(19): 72-77. (FENG Y R, YANG Z R. An empirical study on the relationship between virtual community characteristics and customer engagement behavior[J]. Journal of commercial economics, 2019(19): 72-77.)
[21] VIVEK S D, BEATTY S E, MORGAN R M. Customer engagement: exploring customer relationships beyond purchase[J]. Journal of marketing theory and practice, 2012, 20(2): 122-146.
[22] 王锰,陈雅.国内外公共数字文化服务的治理研究进展[J].图书馆, 2018(12): 67-73. (WANG M, CHEN Y. Research progress on governance of public digital culture service[J]. Library, 2018(12): 67-73.)
[23] WANYAN D, HU J. How to provide public digital cultural services in China?[J]. Library hi tech, 2020, 38(3): 504-521.
[24] 肖希明. “国外公共数字文化服务资源整合研究”专题引言[J].图书与情报, 2015(1): 1. (XIAO X M. Introduction to the special topic on “Research on the integration of foreign public digital cultural service resources”[J]. Library & information, 2015(1): 1.)
[25] 胡唐明,郑建明.公益性数字文化建设内涵、现状与体系研究[J].图书情报知识, 2012(6): 32-38. (HU T M, ZHENG J M. Research on the connotation, development status and service system of public digital culture[J]. Documentation, information & knowledge, 2012(6): 32-38.)
[26] 国家公共文化云正式开通[J].国家图书馆学刊, 2018, 27(1): 47. (The official launch of the national public cultural cloud[J]. Journal of the National Library of China, 2018, 27(1): 47.)
[27] 姜照君.优质文化资源直达基层数字创新生态系统:内在结构、运行机制与建构路径[J].求索, 2025(3): 70-78. (JIANG Z J. A digital innovation ecosystem for direct delivery of high-quality cultural resources to the grassroots: internal structure, operating mechanism, and construction pathways[J]. Seeker, 2025(3): 70-78.)
[28] 王锰,陈雅,郑建明.公共数字文化服务效能的关键影响因素及其机理研究[J].中国图书馆学报, 2018, 44(3): 35-51. (WANG M, CHEN Y, ZHENG J M. Key influence factors and mechanism of public digital culture service effectiveness[J]. Journal of library science in China, 2018, 44(3): 35-51.)
[29] 陈则谦,郑娜静,李亚灿,等.一站式公共数字文化服务平台支持用户参与的服务现状、主要问题与优化建议[J].图书情报工作, 2021, 65(7): 78-89. (CHEN Z Q, ZHENG Y J, LI Y C, et al. The service status, main problems and optimization suggestions of one-stop public digital culture service platform supporting user participation[J]. Library and information service, 2021, 65(7): 78-89.)
[30] 陈则谦,刘昱杉,聂曲晗.我国公共文化云的服务内容与特征分析[J].图书馆, 2018(8): 27-31, 46. (CHEN Z Q, LIU Y S, NIE Q H. Analysis of service content and characteristics of public cultural cloud in China[J]. Library, 2018(8): 27-31, 46.)
[31] 闫静,李雪婷,董乐颖,等.红色文化资源数字叙事服务:概念内涵、关键维度与实践路径[J].山西档案, 2025(1): 37-46, 50. (YAN J, LI X T, DONG L Y, et al. Digital narrative service of red cultural resources: conceptual connotation, key dimensions and practical path[J]. Shanxi archives, 2025(1): 37-46, 50.)
[32] 吴若明.虚拟叙事与空间生产:一种迭代式敦煌艺术展的物像再现[J].东南文化, 2024(2): 169-175. (WU R M. Virtual narrative and spatial production: the reproduction of objects and contexts in iterative exhibitions of Dunhuang art[J]. Southeast culture, 2024(2): 169-175.)
[33] LEE H, JUNG T H, TOM DIECK M C, et al. Experiencing immersive virtual reality in museums[J]. Information & management, 2020, 57(5): 103229.
[34] 赵学奇.基于沉浸式体验的苏州河历史文化数字展馆设计研究[D].上海:东华大学, 2024. (ZHAO X Q. Research on digital exhibition of Suzhou Rive history and culture based on immersion[D]. Shanghai: Donghua University, 2024.)
[35] 徐延章.可及性视域下博物馆智慧服务的创新维度[J].东南文化, 2024(6): 155-163. (XU Y Z. Innovating museum smart services from the perspective of accessibility[J]. Southeast culture, 2024(6): 155-163.)
[36] 谢紫悦,王丹,陈雅.我国新基建模式与公共图书馆融合发展契合价值分析研究[J].图书馆学研究, 2022(3): 18-23, 10. (XIE Z Y, WANG D, CHEN Y. Analysis and research of the value and fitness of the new infrastructure modes and the integrated development of public libraries[J]. Research on library science, 2022(3): 18-23, 10.)
[37] 刘文艳,完颜邓邓,戴艳清.我国公共数字文化服务可及性现状调查研究[J].国家图书馆学刊, 2023, 32(2): 70-80. (LIU W Y, WANYAN D D, DAI Y Q. Investigation and research on the accessibility of public digital cultural services in China[J]. Journal of the National Library of China, 2023, 32(2): 70-80.)
[38] 陈朝兵,刘翰林.我国公共数字文化服务供给研究进展与评析[J].国家图书馆学刊, 2023, 32(6): 72-81. (CHEN C B, LIU H L. Research progress and analysis on public digital cultural service supply in China[J]. Journal of the National Library of China, 2023, 32(6): 72-81.)
[39] 邢磊.公共数字文化资源联动的模式建构与实践探索[J].图书馆, 2025(5): 48-56. (XING L. Model construction and practice exploration of public digital cultural resource linkage[J]. Library, 2025(5): 48-56.)
[40] TOLMAN E C. Purposive behavior in animals and men[M]. California: University of California Press, 1932.
[41] 黄艳,刘默扬,李卫东.政务短视频用户信息分享行为研究——以抖音和快手平台的“青年学党史”作品合集为例[J].北京航空航天大学学报(社会科学版), 2022, 35(1): 92-101. (HUANG Y, LIU M Y, LI W D. Information sharing behaviors of government short video users: a case study of the collection of videos of “youth learning party history” on TikTok and Kuaishou platforms[J]. Journal of Beijing University of Aeronautics and Astronautics (social sciences edition), 2022, 35(1): 92-101.)
[42] 潘文年,李祎雯.新媒体情境下电商直播对个体消费行为的影响研究——基于淘宝直播的SOR模型分析[J].现代传播(中国传媒大学学报), 2023, 45(10): 132-143. (PAN W N, LI W W. A study on the impact of e-commerce live streaming on individual consumer behavior under the new media context: a SOR model analysis based on Taobao live streaming[J]. Modern communication (journal of Communication University of China), 2023, 45(10): 132-143.)
[43] WANG M, HUA Y, SUN H L, et al. User churn behavior model of rural public digital cultural services: an empirical study in China[J]. Library hi tech, 2022, 40(5): 1267-1288.
[44] LECKIE C, NYADZAYO M W, JOHNSON L W. Antecedents of consumer brand engagement and brand loyalty[J]. Journal of marketing management, 2016, 32(5/6): 558-578.
[45] HOLLEBEEK L D, GLYNN M S, BRODIE R J. Consumer brand engagement in social media: conceptualization, scale development and validation[J]. Journal of interactive marketing, 2014, 28(2): 149-165.
[46] O’BRIEN H L, TOMS E G. The development and evaluation of a survey to measure user engagement[J]. Journal of the American society for information science and technology, 2010, 61(1): 50-69.
[47] 袁顺波.基于期望确认的移动商务用户持续使用行为元分析[J].情报杂志, 2022, 41(3): 191-197. (YUAN S B. A metaanalysis of continuance behavior towards mobile commerce based on expectation-confirmation[J]. Journal of intelligence, 2022, 41(3): 191-197.)
[48] TAM C, SANTOS D, OLIVEIRA T. Exploring the influential factors of continuance intention to use mobile Apps: extending the expectation confirmation model[J]. Information systems frontiers, 2020, 22(1): 243-257.
[49] BHATTACHERJEE A. Understanding information systems continuance: an expectation-confirmation model[J]. MIS quarterly, 2001, 25(3): 351-370.
[50] OLIVER R L. A cognitive model of the antecedents and consequences of satisfaction decisions[J]. Journal of marketing research, 1980, 17(4): 460-469.
[51] LEE M C. Explaining and predicting users’ continuance intention toward e-learning: an extension of the expectation-confirmation model[J]. Computers & education, 2010, 54(2): 506-516.
[52] KATZ E, BLUMLER J G, GUREVITCH M. Uses and gratifications research[J]. The public opinion quarterly, 1973, 37(4): 509-523.
[53] 吴飞,孙梦如,杨龙梦珏,等.社交媒体使用对线上公共协商程度的差异化效果研究——基于使用动机的中介作用[J].当代传播, 2023(5): 15-22. (WU F, SUN M R, YANG L M Y, et al. A study on the differentiated effects of social media use on the extent of online public deliberation: based on the mediating role of usage motives[J]. Contemporary communication, 2023(5): 15-22.)
[54] GREEN JR P I, FINKEL E J, FITZSIMONS G M, et al. The energizing nature of work engagement: toward a new needbased theory of work motivation[J]. Research in organizational behavior, 2017(37): 1-18.
[55] DECI E L, RYAN R M. Intrinsic motivation and selfdetermination in human behavior[M]. New York: Springer science & business media, 1985.
[56] 范哲,刘奔.用户人格特质对虚拟社区信息分享行为的影响研究——以基本心理需要为中介变量[J].现代情报, 2019, 39(11): 69-79, 97. (FAN Z, LIU B. The effect of personality traits on information sharing in the virtue community——based on basic psychological needs as intermediaries[J]. Journal of modern information, 2019, 39(11): 69-79, 97.)
[57] 杨学成,涂科.信任氛围对用户契合的影响——基于共享经济背景下的价值共创视角[J].管理评论, 2018, 30(12): 164-174. (YANG X C, TU K. The influence of trust climate to user engagement: based on the perspective of the value co-creation theory in the sharing economy mode[J]. Management review, 2018, 30(12): 164-174.)
[58] 李晓明,张辉.顾客品牌契合行为的心理机制研究:自我决定理论视角[J].旅游学刊, 2017, 32(7): 57-68. (LI X M, ZHANG H. The psychological mechanism of customer brand engagement behaviors: a self-determinant theory perspective[J]. Tourism tribune, 2017, 32(7): 57-68.)
[59] BLOMQVIST K. The many faces of trust[J]. Scandinavian journal of management, 1997, 13(3): 271-286.
[60] 张跃先,张星,崔航,等.虚拟品牌社区中内、外部激励对顾客契合的影响研究[J].管理学报, 2022, 19(2): 263-270. (ZHANG Y X, ZHANG X, CUI H, et al. The influence of internal and external incentives on customer engagement in virtual brand community[J]. Chinese journal of management, 2022, 19(2): 263-270. )
[61] WONGKITRUNGRUENG A, ASSARUT N. The role of live streaming in building consumer trust and engagement with social commerce sellers[J]. Journal of business research, 2020, 117: 543-556.
[62] 吴川徽,黄仕靖,袁勤俭.社会交换理论及其在信息系统领域的应用与展望[J].情报理论与实践, 2020, 43(8): 70-76. (WU C H, HUANG S J, YUAN Q J. Social exchange theory and its application and prospect in the field of information system research[J]. Information studies: theory & application, 2020, 43(8): 70-76.)
[63] KONOVSKY M A, PUGH S D. Citizenship behavior and social exchange[J]. Academy of management journal, 1994, 37(3): 656-669.
[64] PROUDFOOT J G, WILSON D, VALACICH J S, et al. Saving face on Facebook: privacy concerns, social benefits, and impression management[J]. Behaviour & information technology, 2018, 37(1): 16-37.
[65] 张静,马跃如,黄尧.社会化商务中顾客间互动对顾客品牌契合的影响[J].财经理论与实践, 2022, 43(5): 138-145. (ZHANG J, MA Y R, HUANG Y. The Impact of customer-tocustomer interaction on customer brand engagement in social commerce[J]. The theory and practice of finance and economics, 2022, 43(5): 138-145.)
[66] 张学波,李铂.信任与风险感知:社交网络隐私安全影响因素实证研究[J].现代传播(中国传媒大学学报), 2019, 41(2): 153-158, 166. (ZHANG X B, LI B. Trust and risk perception: an empirical study on the influencing factors of social network privacy and security[J]. Modern communication (journal of Communication University of China), 2019, 41(2): 153-158, 166.)
[67] 胡昌平,仇蓉蓉.虚拟社区用户隐私关注研究综述[J].情报理论与实践, 2018, 41(12): 149-154. (HU C P, QIU R R. Review on users’ privacy concerns in virtual community[J]. Information studies: theory & application, 2018, 41(12): 149-154.)
[68] FOX G, CONNOLLY R. Mobile health technology adoption across generations: Narrowing the digital divide[J]. Information systems journal, 2018, 28(6): 995-1019.
[69] SMITH H J, DINEV T, XU H. Information privacy research: an interdisciplinary review[J]. MIS quarterly, 2011, 35(4): 989-1015.
[70] SOLOVE D J. A taxonomy of privacy[J]. University of pennsylvania law review, 2006, 154(3): 477-564.
[71] BLAU P M. Exchange and power in social life[M]. Piscataway, NJ: Transaction Publishers, 1964.
[72] 张德鹏,陈春峰,张凤华.社交媒体情境下个性化广告对用户态度的影响研究[J].管理学报, 2021, 18(3): 441-447. (ZHANG D W, CHEN C F, ZHANG F H. The impact of personalized advertising on users’ attitudes in social media[J]. Chinese journal of management, 2021, 18(3): 441-447.)
[73] 张雨航.电商平台中隐私关注和感知风险对顾客满意度的影响[J].商业经济研究, 2021(19): 104-107. (ZHANG Y H. The impact of privacy concerns and perceived risks on customer satisfaction in e-commerce platforms[J]. Journal of commercial economics, 2021(19): 104-107.)
[74] 毕达天,张雪,米艳霖,等.算法感知视角下跨平台信息推荐用户接受意愿研究[J].图书情报工作, 2023, 67(21): 100-110. (BI D T, ZHANG X, MI Y L, et al. Research on users’ willingness to accept cross-platform information recommendation from the perspective of algorithm perception[J]. Library and information service, 2023, 67(21): 100-110.)
[75] MEHRABIAN A. RUSSELL J A. An approach to environmental psychology[M]. Cambridge: The MIT Press, 1974.
[76] 张跃先,王家琛.网购情景线索、情感特征与顾客契合行为——多阶段动态关联研究[J].经济与管理, 2023, 37(5): 63-71. (ZHANG Y X, WANG J C. Online shopping context cues, emotional characteristics and customer engagement behavior: a multi-stage dynamic relationship study[J]. Economy and management, 2023, 37(5): 63-71.)
[77] 谢雨杉,柯青.图书情报学混合方法的应用情境及协同策略研究——以四种图情学刊为例[J].情报科学, 2023, 41(3): 164-172. (XIE Y S, KE Q. Study on the application context and collaboration strategy of mixed methods in library and information science: taking four LIS journals as an example[J]. Information science, 2023, 41(3): 164-172.)
[78] GEFEN D, KARAHANNA E, STRAUB D W. Trust and TAM in online shopping: an integrated model[J]. MIS quarterly, 2003, 27(1): 51-90.
[79] MALHOTRA N K, KIM S S, AGARWAL J. Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model[J]. Information systems research, 2004, 15(4): 336-355.
[80] XI N N, HAMARI J. Does gamification satisfy needs? A study on the relationship between gamification features and intrinsic need satisfaction[J]. International journal of information management, 2019, 46: 210-221.
[81] 刘佳静,朱娠萍,姚山季,等.公共数字文化服务用户契合:量表开发与实证检验[J].图书情报工作, 2026, 70(16): 148-160. (LIU J J, ZHU S P, YAO S J, et al. Scale development and empirical testing of user engagement in public digital cultural service[J]. Library and information service, 2026, 70(16): 148-160.)
[82] HAIR J F, SARSTEDT M, RINGLE C M, et al. An assessment of the use of partial least squares structural equation modeling in marketing research[J]. Journal of the academy of marketing science, 2012, 40(3): 414-433.
[83] CHIN W W. The partial least squares approach to structural equation modeling[J]. Modern methods for business research, 1998, 295(2): 295-336.
[84] 完颜邓邓,宋众利.公共数字文化沉浸式体验空间用户需求模型构建[J].图书馆学研究, 2024(7): 47-55. (WANYAN D D, SONG Z L. Construction of user demand model for public digital culture immersive experience space[J]. Research on library science, 2024(7): 47-55.)
[85] 汤丹丹,温忠麟.共同方法偏差检验:问题与建议[J].心理科学, 2020, 43(1): 215-223. (TANG D D, WEN Z L. Statistical approaches for testing common method bias: problems and suggestions[J]. Journal of psychological science, 2020, 43(1): 215-223.)
[86] HU L, BENTLER P M. Fit indices in covariance structure modeling: sensitivity to under parameterized model misspecification[J]. Psychological methods, 1998, 3(4): 424-453.
[87] TENENHAUS M, VINZI V E, CHATELIN Y M, et al. PLS path modeling[J]. Computational statistics & data analysis, 2005, 48(1): 159-205.
[88] KOMIAK S X, BENBASAT I. Understanding customer trust in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce[J]. Information technology and management, 2004, 5(1): 181-207.
Outlines

/

〈 〉