Using affective content to promote high-involvement services on social media

被引:1
|
作者
Tran, Hai-Anh [1 ]
Farrell, Andrew [2 ]
Evanschitzky, Heiner [1 ]
Nguyen, Bach [3 ]
Ackfeldt, Anna-Lena [2 ]
机构
[1] Univ Manchester, Alliance Manchester Business Sch, Manchester, England
[2] Aston Univ, Aston Business Sch, Birmingham, England
[3] Univ Exeter, Business Sch, Exeter, England
关键词
Affective content; High -involvement services; Purchase intentions; Social media; REGULATORY FOCUS; EMOTIONAL EXPRESSIONS; PERCEIVED RISK; DISCRETE EMOTIONS; DECISION-MAKING; BRAND POSTS; INFORMATION; ENGAGEMENT; CONSUMERS; IMPACT;
D O I
10.1016/j.jbusres.2024.114676
中图分类号
F [经济];
学科分类号
02 ;
摘要
Service providers' communication on social media has become a viable method to influence customer purchasing behavior and firm outcomes. Because services are intangible, one of the most pertinent challenges is to design text-based social media content to reduce customers' perceived risk and enhance desired outcomes. According to Emotions as Social Information (EASI) theory, affective expression can positively influence observer's reactions. Yet, evidence suggests that affective content (i.e., the use of affective words) is less helpful in high-involvement situations, as customers prefer cognitive information to reduce risk. However, four experiments reveal that highinvolvement service providers can enhance customers' purchase intentions by employing affective content in their online communication. This is because affective content signals effort of the provider, reducing perceived risk, and increasing purchase intentions. Results also demonstrate affective content works better for prevention(vs. promotion) focused customers and for providers with high-quality reputations, indicating the relative primacy of inferential over affective processes when evaluating affective content. Practically, service providers should carefully rebalance their communication to increase affective content in social media posts.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] USING FORUM AND SEARCH DATA FOR SALES PREDICTION OF HIGH-INVOLVEMENT PROJECTS
    Geva, Tomer
    Oestreicher-Singer, Gal
    Efron, Niv
    Shimshoni, Yair
    MIS QUARTERLY, 2017, 41 (01) : 65 - +
  • [2] See it, share it: what makes social media content viral in the higher education context? The power of positive affective content
    Yang, Hsiao-Pei
    Chan, Tommy K. H.
    Tran, Hai-Anh
    Nguyen, Bach
    Lin, Han
    INFORMATION TECHNOLOGY & PEOPLE, 2024,
  • [3] Measuring Similarity between Brands using Social Media Content
    Zhang, Yiwei
    Wang, Xueting
    Sakai, Yoshiaki
    Yamasaki, Toshihiko
    ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 2021, 9 (04): : 262 - 275
  • [4] Influencers and brands successful collaborations: A mutual reinforcement to promote products and services on social media
    Ibanez-Sanchez, Sergio
    Flavian, Marta
    Casalo, Luis V.
    Belanche, Daniel
    JOURNAL OF MARKETING COMMUNICATIONS, 2022, 28 (05) : 469 - 486
  • [5] Using Social Media to Promote Student Entrepreneurship
    Surachim, Ahim
    Hurriyati, Ratih
    Lisnawati, L.
    Sulastri, S.
    Mulyadi, Hari
    PERTANIKA JOURNAL OF SOCIAL SCIENCE AND HUMANITIES, 2018, 26 : 173 - 183
  • [6] Partisan news sources produce and spread more high arousal negative affective content on social media
    Hsu, Tiffany W.
    Knutson, Brian
    Tsai, Jeanne L.
    AFFECTIVE SCIENCE, 2022, 3 (01)
  • [7] Digital Affective Encounters: The Relational Role of Content Circulation on Social Media
    Shamayleh, Ghalia
    Arsel, Zeynep
    JOURNAL OF CONSUMER RESEARCH, 2025,
  • [8] Toward using social media to support ridesharing services: challenges and opportunities
    Tang, Lei
    Duan, Zongtao
    Zhao, Yaling
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2019, 42 (04) : 355 - 379
  • [9] Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis
    Runge, Claire A.
    Hausner, Vera H.
    Daigle, Remi M.
    Monz, Christopher A.
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2020, 2 (07):
  • [10] High-Quality Content Recognition in Social Media
    Zhao Q.
    Hu J.
    Fang Q.
    Qian S.
    Xu C.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2020, 32 (06): : 943 - 949