Private Domain Flow Information Sharing and Platform Merchant Electronic Word-of-mouth

FAN Xiaoming, LIN Liwen

Chinese Journal of Journalism & Communication ›› 2024, Vol. 46 ›› Issue (2) : 97-119.

PDF(1546 KB)
PDF(1546 KB)
Chinese Journal of Journalism & Communication ›› 2024, Vol. 46 ›› Issue (2) : 97-119.
Research Articles

Private Domain Flow Information Sharing and Platform Merchant Electronic Word-of-mouth

Author information +
History +

Abstract

With the development of the platform economy, the communication and marketing value of private domain flow is particularly important. This study uses interviews and surveys to explore the mechanisms by which the level of private domain flow information sharing (high vs. low) affects platform merchants’ electronic word-of-mouth (eWOM). It is found that high private domain flow information sharing level positively affects platform merchants’ e-WOM, and the effect is mediated by social connections in the common meaning space. It is also found that the above indirect effect is negatively moderated by consumers’ information privacy concerns, specifically, high information privacy concerns attenuate the relationship between private domain flow information sharing and platform merchants’ IWOM through social connections in the common meaning space, while on the contrary, low information privacy concerns enhance the impact of this relationship. Additionally, this paper also found that private domain flow information sharing has a positive spillover effect on consumers’ purchase intentions. The conclusions of this study provide new strategies to improve platform merchants’ e-WOM, provide realization paths for private domain flow transformation, and have theoretical and practical value for platform management and traffic economy development.

Key words

private domain flow / platform / space of common meaning / electronic word of mouth / information privacy concerns

Cite this article

Download Citations
FAN Xiaoming , LIN Liwen. Private Domain Flow Information Sharing and Platform Merchant Electronic Word-of-mouth[J]. Chinese Journal of Journalism & Communication. 2024, 46(2): 97-119

References

[1]
艾瑞咨询(2023). 2023中国私域运营洞察白皮书.检索于https://www.iresearch.com.cn/Detail/report?id=4193&isfree=0.
[2]
范晓明, 王晓玉, 杨祎(2018). 消费者感知视角的网络发言人特质对品牌关系投资意愿影响机制研究. 《南开管理评论》,(5),64-72.
[3]
范晓明, 杨祎, 王晓玉(2021). 互联网平台多属策略、经营模式与商家绩效. 《中国管理科学》,(2),51-60.
[4]
冯志强, 祁蕊, 陈景辉(2021). 基于新媒体矩阵的出版机构私域流量搭建. 《出版广角》,(15),22-25.
[5]
郭全中, 李祖岳(2023). 企业营销数字化转型初探:一个基于私域流量运营的视角. 《新闻爱好者》,(1),19-23.
[6]
李士振(2022). 融合发展背景下出版机构私域流量运营策略探析. 《科技与出版》,(6),78-82.
[7]
佘世红, 杨锦玲(2021). 营销4.0时代出版企业私域流量的渠道建设与运营策略. 《出版发行研究》,(8),28-32+16.
[8]
王芳(2022). 情报学视角下的政府信息公开、共享与数据开放研究:二十年回顾与未来展望. 《图书与情报》,(4),51-65.
[9]
王海玉(2022). 场景理论视角下的图书直播互动研究. 《出版发行研究》,(1),41-46+53.
[10]
王勇, 刘乐易, 迟熙, 张玮艺(2022). 流量博弈与流量数据的最优定价——基于电子商务平台的视角. 《管理世界》,(8),116-132.
[11]
吴茜, 姚乐野(2022). 互联网用户隐私披露行为影响因素研究. 《现代情报》,(6),121-131.
[12]
吴晓, 王凌瑾, 宁昱西, 何彦(2020). 从社交网络到地理网络——基于南京市高校新浪微博用户的分析. 《经济地理》,(4),83-95.
[13]
吴凤颖(2022). 私域营销:品牌破局之新方向. 《传媒》,(2),30-32.
[14]
肖玉琴(2023). 网络行为广告感知特性对消费者犬儒反应的影响:隐私担忧的中介效应. 《国际新闻界》,(5),121-139.
[15]
宣长春, 陈素白(2023). 隐私侵犯经历对个人信息保护意愿的影响:基于“风险-收益”和调节定向的理论视角. 《国际新闻界》,(4),138-156.
[16]
徐敬宏, 侯伟鹏, 程雪梅, 王雪(2018). 微信使用中的隐私关注、认知、担忧与保护:基于全国六所高校大学生的实证研究. 《国际新闻界》,(5),160-176.
[17]
薛可, 余明阳(2022). 私域流量的生成、价值及运营. 《人民论坛》,(Z1),114-116.
[18]
赵建国(2019). 论共识传播. 《现代传播(中国传媒大学学报)》,(5),36-41.
[19]
周克清, 郑皓月(2022). 平台经济下第三方平台信息共享对个税遵从的影响研究. 《西南民族大学学报(人文社会科学版)》,(9),96-101.
[20]
曾春华, 林仪凤(2022). 共同机构所有权与企业创新:协同治理与信息共享视角. 《科技进步与对策》, (13),21-31.
[21]
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
[22]
Black, I., & Veloutsou, C. (2017). Working consumers: Co-creation of brand identity, consumer identity and brand community identity. Journal of Business Research, 70, 416-429.
[23]
Bore, I., Rutherford, C., Glasgow, S., Taheri, B., & Antony, J. (2017). A systematic literature review on eWOM in the hotel industry: Current trends and suggestions for future research. Hospitality & Society, 7(1), 63-85.
[24]
Breves, P. L., Liebers, N., Abt, M., & Kunze, A. (2019). The perceived fit between Instagram influencers and the endorsed brand: How influencer-brand fit affects source credibility and persuasive effectiveness. Journal of Advertising Research, 59(4), 440-454.
[25]
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148-155.
[26]
Cantallops, A. S., & Salvi, F. (2014). New consumer behavior: A review of research on eWOM and hotels. International Journal of Hospitality Management, 36, 41-51.
[27]
Casado-Díaz, A. B., Andreu, L., Beckmann, S. C., & Miller, C. (2020). Negative online reviews and webcare strategies in social media: Effects on hotel attitude and booking intentions. Current Issues in Tourism, 23(4), 418-422.
[28]
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61-80.
While privacy is a highly cherished value, few would argue with the notion that absolute privacy is unattainable. Individuals make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth the risk of information disclosure. This research attempts to better understand the delicate balance between privacy risk beliefs and confidence and enticement beliefs that influence the intention to provide personal information necessary to conduct transactions on the Internet. A theoretical model that incorporated contrary factors representing elements of a privacy calculus was tested using data gathered from 369 respondents. Structural equations modeling (SEM) using LISREL validated the instrument and the proposed model. The results suggest that although Internet privacy concerns inhibit e-commerce transactions, the cumulative influence of Internet trust and personal Internet interest are important factors that can outweigh privacy risk perceptions in the decision to disclose personal information when an individual uses the Internet. These findings provide empirical support for an extended privacy calculus model.
[29]
Guo, T. C., & Cheng, Z. C. (2016). Sense of belonging based on novel posting: Individuals’ processes of social and psychological integration into virtual groups. Online Information Review, 40(2), 204-217.
– Although novel posting is a universal phenomenon in virtual communities (VCs), few studies have addressed the benefits of novel posting for group members. The purpose of this paper is to identify the social and psychological outcomes of novel posting, particularly whether and how sense of belonging can be produced by it. Sense of belonging implies an individual’s integration or assimilation into virtual groups.
[30]
Gustafson, P. (2001). Meanings of place: Everyday experience and theoretical conceptualizations. Journal of Environmental Psychology, 21(1), 5-16.
[31]
Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-computer Studies, 65(8), 689-708.
[32]
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis:A regression-based approach. New York, NY: The Guilford Press.
[33]
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of Interactive Marketing, 18(1), 38-52.
Through Web-based consumer opinion platforms (e.g., epinions.com), the Internet enables customers to share their opinions on, and experiences with, goods and services with a multitude of other consumers; that is, to engage in electronic word-of-mouth (eWOM) communication. Drawing on findings from research on virtual communities and traditional word-of-mouth literature, a typology for motives of consumer online articulation is developed. Using an online sample of some 2,000 consumers, information on the structure and relevance of the motives of consumers’ online articulations is generated. The resulting analysis suggests that consumers’ desire for social interaction, desire for economic incentives, their concern for other consumers, and the potential to enhance their own self-worth are the primary factors leading to eWOM behavior. Further, eWOM providers can be grouped based on what motivates their behavior, suggesting that firms may need to develop different strategies for encouraging eWOM behavior among their users.
[34]
Holbrook, M. B. (2006). Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay. Journal of Business Research, 59(6), 714-725.
[35]
Hong, W., & Thong, J. Y. L. (2013). Internet privacy concerns: An integrated conceptualization and four empirical studies. Mis Quarterly, 275-298.
[36]
Izogo, E. E., & Mpinganjira, M. (2020). Behavioral consequences of customer inspiration: The role of social media inspirational content and cultural orientation. Journal of Research in Interactive Marketing, 14(4), 431-459.
Although previous research emphasized the importance of inspiration in influencing consumer behavior, there is no categorical response to how social-media inspirational content inspires consumers across cultures. This paper aims to take on this agenda through a vignette experimental study.
[37]
Jackson, S. J., & Welles, B. F. (2015). Hijacking #myNYPD: Social media dissent and networked counterpublics. Journal of Communication, 65(6), 932-952.
[38]
Jin, H., Park, S. T., & Li, G. (2015). Factors influencing customer participation in mobile SNS: Focusing on Wechat in China. Indian Journal of Science and Technology, 8(26), 1-8.
[39]
Jozani, M., Ayaburi, E., Ko, M., & Choo, K. R. (2020). Privacy concerns and benefits of engagement with social media-enabled apps: A privacy calculus perspective. Computers in Human Behavior, 107, 106260.
[40]
Kim, J. M., & Hyun, S. (2021). Differences in online reviews caused by distribution channels. Tourism Management, 83, 104230.
[41]
Liu, H., Jayawardhena, C., Dibb, S., & Ranaweera, C. (2019). Examining the trade-off between compensation and promptness in eWOM-triggered service recovery: A restorative justice perspective. Tourism Management, 75, 381-392.
[42]
Lopes, A. I., Dens, N., De Pelsmacker, P., & Malthouse, E. C. (2023). Managerial response strategies to eWOM: A framework and research agenda for webcare. Tourism Management, 98, 104739.
[43]
Macias, W. (2003). A beginning look at the effects of interactivity, product involvement and web experience on comprehension: Brand web sites as interactive advertising. Journal of Current Issues & Research in Advertising, 25(2), 31-44.
[44]
Matute, J., Polo-Redondo, Y., & Utrillas, A. (2016). The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness. Online Information Review, 40(7), 1090-1110.
With the expansion of internet as a tool for exchanging information, companies include in their websites a virtual space to share information among users. The purpose of this paper is to explore the characteristics of consumers’ reviews (electronic word-of-mouth quantity, credibility and quality) as antecedents of customers’ online repurchase intentions. Specially, it proposes a model where trust on an online seller and perceived usefulness of a website mediate the influence of electronic word-of-mouth (EWOM) characteristics on repurchase intentions.
[45]
Mead, G. H. (1934). Mind, self, and society (Vol. 111). Chicago, IL: University of Chicago Press.
[46]
Mukhopadhyay, S., Pandey, R., & Rishi, B. (2023). Electronic word of mouth (eWOM) research-a comparative bibliometric analysis and future research insight. Journal of Hospitality and Tourism Insights, 6(2), 404-424.
In recent times, the growing use of electronic word of mouth (eWOM) has attracted consumers, organizations and marketers alike. The objective of this study is to summarize and compare the current mass of eWOM research published in leading hospitality and tourism journals with research published in the other fields of both business and management.
[47]
Macias, W. (2003). A beginning look at the effects of interactivity, product involvement and web experience on comprehension: Brand web sites as interactive advertising. Journal of Current Issues & Research in Advertising, 25(2), 31-44.
[48]
Müller, B., & Chandon, J. L. (2004). The impact of a World Wide Web site visit on brand image in the motor vehicle and mobile telephone industries. Journal of Marketing Communications, 10(2), 153-165.
[49]
Okazaki, S., Li, H., & Hirose, M. (2009). Consumer privacy concerns and preference for degree of regulatory control. Journal of Advertising, 38(4), 63-77.
[50]
Proserpio, D., & Zervas, G. (2017). Online reputation management: Estimating the impact of management responses on consumer reviews. Marketing Science, 36(5), 645-665.
We investigate the relationship between a firm’s use of management responses and its online reputation. We focus on the hotel industry and present several findings. First, hotels are likely to start responding following a negative shock to their ratings. Second, hotels respond to positive, negative, and neutral reviews at roughly the same rate. Third, by exploiting variation in the rate with which hotels respond on different review platforms and variation in the likelihood with which consumers are exposed to management responses, we find a 0.12-star increase in ratings and a 12% increase in review volume for responding hotels. Interestingly, when hotels start responding, they receive fewer but longer negative reviews. To explain this finding, we argue that unsatisfied consumers become less likely to leave short indefensible reviews when hotels are likely to scrutinize them. Our results highlight an interesting trade-off for managers considering responding: fewer negative ratings at the cost of longer and more detailed negative feedback.
[51]
Qin, Y. S. (2020). Fostering brand-consumer interactions in social media: The role of social media uses and gratifications. Journal of Research in Interactive Marketing, 14(3), 337-354.
An increasing number of brands are using algorithms to embed brand-related content to targeted consumers’ social media pages. This paper aims to analyze how do consumers’ motives of using social media in general influence their potential brand–consumer interactions and the following branding outcomes. To examine this, this study selected Facebook as the social media platform and Nike as the brand to conduct an online survey experiment to examine the effects of social media usage motives on consumers’ interactions with the brand in social media.
[52]
Raney, A. A., Arpan, L. M., Pashupati, K., & Brill, D. A. (2003). At the movies, on the web: An investigation of the effects of entertaining and interactive web content on site and brand evaluations. Journal of Interactive Marketing, 17(4), 38-53.
An experiment was conducted to examine the effects of including entertaining and/or interactive content on evaluations of automotive Web sites and automotive brands. Research participants visited and evaluated four Web sites from major automotive manufactures. The four sites exhibited varying degrees of entertaining content and interactivity. The highly entertaining site (which included a mini, suspenseful movie) was associated with the most positive site evaluations, greatest intent to return to the site, and highest levels of arousal, as compared to the three other sites that included video product footage only, video footage and audio, or video footage and audio with an interactive feature. Significant increases in purchase intent were associated only with the brand featured in the site with the mini movie.
[53]
Sheng, J., Amankwah-Amoah, J., Wang, X., & Khan, Z. (2019). Managerial responses to online reviews: A text analytics approach. British Journal of Management, 30(2), 315-327.
This study tests the effects of online managerial responses and returning customers' future satisfaction (measured as review ratings) by performing social media text analytics on a hotel sample. Essentially, this paper provides insight into meaningful differences in future ratings between responding and non-responding hotels, as well as differences in response styles between ratings improvement and non-improvement. The results indicate that: (1) subsequent ratings are higher if customers receive responses to their previous online reviews; (2) increase in ratings is more significant among low-satisfaction customers, and a decrease in ratings is mitigated if responses are provided; (3) responding to loyal customers - those who have visited and rated the same hotel more than three times - has a limited impact on ratings; (4) responses are longer and sentiment is slightly lower in scenarios where subsequent ratings are improved, but there is no significant difference in the effect of response speed between the two groups; (5) changes in ratings also affect styles of responding to current reviews - if customer satisfaction has improved, response length tends to be shorter and sentiment level tends to be higher. The findings offer both theoretical and managerial implications by demonstrating the utility of social media text analytics.
[54]
Shin, D. H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428-438.
[55]
Siddiqui, M. S., Siddiqui, U. A., Khan, M. A., Alkandi, I. G., Saxena, A. K., & Siddiqui, J. H. (2021). Creating electronic word of mouth credibility through social networking sites and determining its impact on brand image and online purchase intentions in India. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1008-1024.
The aim of this study is to identify the factors affecting the credibility of electronic word-of-mouth (eWOM) stimulation through Social Networking Sites (SNSs) through an empirical model providing both theoretical understandings and practical implications. The proposed framework explicates the consumer’s use of SNSs as a tool for information sharing and its effect on brand image and online purchase intentions. The consumer survey was done through a structured questionnaire developed in accordance with the literature. Data was collected from 256 respondents, using both offline and online modes from 4 different cities of India. Structural Equation Modeling was employed to estimate the proposed model and determine the antecedents of consumer eWOM credibility and in turn its effect on brand image leading to consumer purchase intentions. The results show SNS activities play a significant role in creating eWOM credibility, which leads to shaping the brand image and purchase intentions. The findings would help companies to create a positive brand image to enhance their purchase intentions through eWOM aroused via SNSs.
[56]
Skinner, G., Han, S., & Chang, E. (2006). An information privacy taxonomy for collaborative environments. Information Management & Computer Security, 14(4), 382-394.
[57]
Smith, H. J., Dinev, T., & Xu, H. (2011). Information privacy research: An interdisciplinary review. Mis Quarterly, 989-1015.
[58]
Smith, A. N., Fischer, E., & Chen, Y. (2012). How does brand-related user-generated content differ across YouTube, Facebook, and Twitter?. Journal of Interactive Marketing, 26(2), 102-113.
This study tests hypotheses regarding differences in brand-related user-generated content (UGC) between Twitter (a microblogging site), Facebook (a social network) and YouTube (a content community). It tests them using data from a content analysis of 600 UGC posts for two retail-apparel brands (Lululemon and American Apparel), which differ in the extent to which they manage social media proactively. Comparisons are drawn across six dimensions of UGC; the dimensions were drawn from a priori reading and an inductive analysis of brand-related UGC. This research provides a general framework for comparing brand-related UGC, and helps us to better understand how particular social media channels and marketing strategies may influence consumer-produced brand communications.
[59]
Solove, D. J. (2006). A taxonomy of privacy. University of Pennsylvania Law Review, 154(3), 477-564.
[60]
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
[61]
Stevens, J. L., Spaid, B. I., Breazeale, M., & Jones, C. L. E. (2018). Timeliness, transparency, and trust: A framework for managing online customer complaints. Business Horizons, 61(3), 375-384.
[62]
Van Noort, G., & Willemsen, L. M. (2012). Online damage control: The effects of proactive versus reactive webcare interventions in consumer-generated and brand-generated platforms. Journal of Interactive Marketing, 26(3), 131-140.
Web 2.0 has empowered consumers to voice complaints with reduced costs (physical and psychological), and to share these with a multitude of other consumers on the Internet. As a public phenomenon, online complaints have a negative impact on consumers’ evaluations of brands that are under attack in online complaints. By means of an experiment, we study the most effective means for companies to counter complaints as expressed in negative electronic word of mouth (NWOM). The results show that negative brand evaluations engendered by NWOM can be attenuated by webcare interventions dependent on type of strategy (proactive vs. reactive) and platform used (consumer-generated vs. brand-generated blog). This effect appeared to be mediated by conversational human voice. The findings are discussed in the light of practical implications for online complaint management.
[63]
Wang, C. L. (2021). New frontiers and future directions in interactive marketing: Inaugural Editorial. Journal of Research in Interactive Marketing, 15(1), 1-9.
[64]
Wang, Y., & Chaudhry, A. (2018). When and how managers’ responses to online reviews affect subsequent reviews. Journal of Marketing Research, 55(2), 163-177.
In this study, the authors investigate the externalities of managers' responses (MRs) to online reviews on popular travel websites. Specifically, the authors examine the effect of publicly responding to hotel guests' reviews on subsequent reviewer ratings. The authors find that manager responses to negative reviews (MR-N) can significantly influence subsequent opinion in a positive way if those responses are observable at the time of reviewing. Notably, the findings show this externality to be negative for manager responses to positive reviews (MR-P). The authors conduct a topic analysis on review texts and corresponding MRs to study the moderating role of response tailoring on the opinion externalities of MR. The authors show that tailored MR amplifies the positive (negative) impact of MR-N (MR-P) on subsequent opinion. Intuitively, tailoring an MR-N adds specificity to the hotel's complaint management strategy, bolstering the positive effects of MR-N on subsequent opinion. However, by highlighting specific positive elements of a review, managers' intent for responding is brought into question as they take advantage of reviewers' positive feedback to promote their hotel.
[65]
Wynveen, C. J., Kyle, G. T., & Sutton, S. G. (2012). Natural area visitors’ place meaning and place attachment ascribed to a marine setting. Journal of Environmental Psychology, 32(4), 287-296.
[66]
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
[67]
Xiang, H., Wang, Q., Cui, J., Yang, J., & Zhang, Y. (2021). The Effectiveness of Private Domain Traffic Strategy in Large Cooperation. Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021), 2712-2716.
[68]
Xie, K. L., Zhang, Z., Zhang, Z., Singh, A., & Lee, S. K. (2016). Effects of managerial response on consumer eWOM and hotel performance: Evidence from TripAdvisor. International Journal of Contemporary Hospitality Management, 28(9), 2013-2034.
This study aims to measures the effects of managerial response on consumer electronic word-of-mouth (eWOM) and hotel performance.
[69]
Tan, S., & Chen, W. (2021). Building consumer trust in online food marketplaces: The role of WeChat marketing. International Food and Agribusiness Management Review, 24(5), 845-862.
Consumer trust receives high attention in food marketplaces, however, little research focuses on how to build consumer trust in the online context. Drawing on signaling theory and presence theory, this paper proposes a comprehensive framework with which to explain the influence mechanism of WeChat food marketing on consumer trust. Utilizing data from 672 consumers in China’s WeChat food marketplaces, this study conducted a partial least squares structural equation modeling analysis. The findings indicate that food seller’s content behavior and interactive behavior on WeChat positively affect consumer trust through the mediating effect of consumer’s perceived information quality and presence. And consumer trust can enhance consumer loyalty. This study extends the research on consumer trust in online food marketplaces. It also provides certain theoretical guidance for food marketers to make better use of WeChat for trust building.
[70]
Yan, L., Keh, H. T., & Chen, J. (2021). Assimilating and differentiating: The curvilinear effect of social class on green consumption. Journal of Consumer Research, 47(6), 914-936.
Building on optimal distinctiveness theory, this research examines the effects of social class on green consumption. Across six studies, we find a curvilinear effect of social class on green consumption, with the middle class having greater propensity for green consumption compared to the lower and upper classes. This effect can be explained by tension between need for assimilation (NFA) and need for differentiation (NFD) that varies among the three social classes in establishing their optimally distinctive identities. The lower class has a dominant NFA, the upper class has a dominant NFD, and the middle class has dual motivation for assimilation and differentiation. Concomitantly, green consumption has the dual function of assimilation and differentiation. The middle class perceives green consumption as simultaneously assimilating and differentiating, which satisfies their dual motivation and enhances their propensity for green consumption. By contrast, the lower class perceives the differentiation function of green consumption as contradicting their dominant NFA, and the upper class perceives the assimilation function as contradicting their dominant NFD, which lower both their propensities for green consumption. Furthermore, these effects are moderated by consumers’ power distance belief. These novel findings have significant theoretical and practical implications on building a more sustainable society.
[71]
Zhu, M., Wu, C., Huang, S., Zheng, K., Young, S. D., Yan, X., & Yuan, Q. (2021). Privacy paradox in mHealth applications: An integrated elaboration likelihood model incorporating privacy calculus and privacy fatigue. Telematics and Informatics, 61, 101601.

Funding

Natural Science Foundation of Zhejiang Province(LQ24G030005)
The China Postdoctoral Science Foundation(2022M710809)
PDF(1546 KB)

Accesses

Citation

Detail

Sections
Recommended

/