摘要： [目的/意義]情感體驗(yàn)是用戶與產(chǎn)品交互的純主觀感受,探究用戶情感體驗(yàn)作用下在線健康社區(qū)的用戶參與行為和影響因素對(duì)留存用戶意義明顯。[方法/過程]以25位在線健康平臺(tái)的真實(shí)用戶為研究對(duì)象,通過訪談獲取研究資料。借助扎根理論對(duì)訪談原始資料進(jìn)行編碼,挖掘?qū)υ诰€健康社區(qū)用戶參與產(chǎn)生作用的因素范疇,并基于“認(rèn)知-情感遞歸模型”,構(gòu)建情感體驗(yàn)維度下影響用戶參與的因素模型與反饋機(jī)制。最后從199份調(diào)查問卷中篩選有效案例,基于fsQCA探究用戶參與行為和情感反饋影響因素的組態(tài)。[結(jié)果/結(jié)論]編碼提取的主范疇可劃分為認(rèn)知評(píng)估,情感體驗(yàn)與參與行為3個(gè)維度。實(shí)證結(jié)果發(fā)現(xiàn)認(rèn)知評(píng)估會(huì)促進(jìn)用戶情感的產(chǎn)生,從而引發(fā)實(shí)際參與行為。參與過程中諸要素會(huì)相互影響,雙向作用于用戶參與行為和用戶認(rèn)知評(píng)估。組態(tài)條件分析發(fā)現(xiàn),平臺(tái)體驗(yàn)和需求動(dòng)機(jī)是影響用戶參與在線健康社區(qū)的核心條件,用戶情感,環(huán)境和平臺(tái)認(rèn)知3個(gè)單因素變量不必然影響用戶參與行為的產(chǎn)生。

關(guān)鍵詞: 在線健康社區(qū), 用戶參與, 影響因素, 組態(tài)效應(yīng), 情感體驗(yàn)

Abstract: [Purpose/Significance] Emotional experience is a purely subjective feeling of the interaction between users and products. Exploring user participation behavior and influencing factors in online health communities under the influence of user emotional experience has obvious significance for retaining users. [Method/Process] A total of 25 users of the online health platform were selected as the research objects. The semi-structured interview method was used, and the basic information of the interviewees was combined with the questionnaire. With the help of grounded theory, the original interview data were coded, and the factors influencing user participation in online health communities were analyzed. Then, the emotional experience and feedback mechanism model of user participation in online health communities was constructed by combining the "emotion-cognitive recursive model". Finally, effective cases were screened from the questionnaire, and the configuration of the influencing factors of user participation behavior and affective feedback was explored based on the principle of qualitative comparative analysis and calculation of fuzzy sets. [Results/Conclusions] Through the grounded theory coding, six factors affecting user participation behavior are obtained: risk perception, platform cognition, demand motivation, platform experience, user emotion and environment. Then combined with the cognitive-affective model, the seven main categories derived from the rooted coding were divided into three dimensions: cognitive assessment, affective experience and participatory behavior. The feedback mechanism of emotional experience after participating behavior is further studied. It is found that the cognitive evaluation including risk perception, platform cognition and demand motivation affects the emotional experience of users, thus affecting their actual participation behavior. In the process of user participation in online health community, the factors of cognitive assessment, emotional experience and participation behavior interact with each other, and have a two-way effect on user participation behavior and user cognitive assessment. Further verification by fuzzy set qualitative comparative analysis (fsQCA) shows that among the six factors affecting user participation behavior, platform experience and demand motivation are the core conditions affecting user participation in online health community, and the three single factor variables of user emotion, environment and platform cognition do not necessarily affect the generation of user participation behavior. The extraction of influencing factors and the definition of user behavior are not comprehensive, and some real variables and key engagement behaviors may be overlooked. In addition, there is an imbalance in the number of samples on each platform. Follow-up related research can improve the pertinence of the platform and expand the sample capacity.

Key words: online health community, user participation, influence factors, configuration effect, emotional experience

中圖分類號(hào): 

朱益平, 朱怡, 張誠. 情感體驗(yàn)維度下在線健康社區(qū)用戶參與行為影響因素研究[J]. 農(nóng)業(yè)圖書情報(bào)學(xué)報(bào), 2022, 34(10): 15-18.

ZHU Yiping, ZHU Yi, ZHANG Cheng. Influencing Factors of User Participation Behavior in Online Health Community under the Dimension of Emotional Experience[J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 15-18.

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