IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8097-d1148291.html
   My bibliography  Save this article

How Mobile Health Livingstreaming Engages the Consumer-Insights from a Dual-Process Model

Author

Listed:
  • Fuyong Lu

    (Institute of Education and Economy Research, University of International Business and Economics, Beijing 100029, China
    These authors contributed equally to this work.)

  • Xintao Wang

    (School of Business, Renmin University of China, Beijing 100872, China
    These authors contributed equally to this work.)

  • Siheng Li

    (Institute of Education and Economy Research, University of International Business and Economics, Beijing 100029, China)

  • Qun Zhao

    (School of Information Resource Management, Renmin University of China, Beijing 100872, China)

Abstract

Mobile health livestreaming has rapidly grown and become a popular platform for consumers to receive sustainable health consultation services. However, the factors influencing consumer engagement in this context still need clarification. To address this gap, we propose a framework based on dual-process theory, which suggests that cognitive mechanism and affective mechanism are two pathways that can cultivate consumer engagement in mobile health livestreaming. Using data from 499 Chinese consumers and the partial least squares structural equation modeling (PLS-SEM) approach, we empirically corroborated our framework. The results show that perceived intelligence significantly predicts consumer engagement, while concentration is positively associated with consumer engagement. Our results also indicate that concentration moderates the relationship between perceived intelligence and consumer engagement. In addition, mobile health livestreaming features can activate the two mechanisms. Perceived synchronicity and perceived vicariousness have a significant influence on perceived intelligence, while arousal and affinity are positively associated with concentration. This study carries considerable implications for the industry in support of promotional policies to engage consumers in mobile health livestreaming.

Suggested Citation

  • Fuyong Lu & Xintao Wang & Siheng Li & Qun Zhao, 2023. "How Mobile Health Livingstreaming Engages the Consumer-Insights from a Dual-Process Model," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8097-:d:1148291
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8097/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/8097/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wongkitrungrueng, Apiradee & Assarut, Nuttapol, 2020. "The role of live streaming in building consumer trust and engagement with social commerce sellers," Journal of Business Research, Elsevier, vol. 117(C), pages 543-556.
    2. Shahbaznezhad, Hamidreza & Dolan, Rebecca & Rashidirad, Mona, 2021. "The Role of Social Media Content Format and Platform in Users' Engagement Behavior," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 47-65.
    3. Ladhari, Riadh & Massa, Elodie & Skandrani, Hamida, 2020. "YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Tong, Xinjia & Chen, Yuangao & Zhou, Shasha & Yang, Shuiqing, 2022. "How background visual complexity influences purchase intention in live streaming: The mediating role of emotion and the moderating role of gender," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    5. Hamed Taherdoost, 2019. "What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale," Post-Print hal-03741841, HAL.
    6. Nazir, Sajjad & Khadim, Sahar & Ali Asadullah, Muhammad & Syed, Nausheen, 2023. "Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach," Technology in Society, Elsevier, vol. 72(C).
    7. Osei-Frimpong, Kofi & Wilson, Alan & Lemke, Fred, 2018. "Patient co-creation activities in healthcare service delivery at the micro level: The influence of online access to healthcare information," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 14-27.
    8. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    9. McLean, Graeme & Osei-Frimpong, Kofi & Barhorst, Jennifer, 2021. "Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement," Journal of Business Research, Elsevier, vol. 124(C), pages 312-328.
    10. Yan, Min & Filieri, Raffaele & Raguseo, Elisabetta & Gorton, Matthew, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    11. Wu, Chuanhui & Zhou, Yusheng & Wang, Rui & Huang, Shijing & Yuan, Qinjian, 2022. "Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Hamed Taherdoost, 2019. "What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale," Post-Print hal-02557308, HAL.
    13. Bitrián, Paula & Buil, Isabel & Catalán, Sara, 2021. "Enhancing user engagement: The role of gamification in mobile apps," Journal of Business Research, Elsevier, vol. 132(C), pages 170-185.
    14. Tseng, Hsiao-Ting & Ibrahim, Fahad & Hajli, Nick & Nisar, Tahir M. & Shabbir, Haseeb, 2022. "Effect of privacy concerns and engagement on social support behaviour in online health community platforms," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    15. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    16. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    17. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Yuanyuan & Zhang, Kexin & Wang, Chaoyou, 2022. "Way to success: Understanding top streamer's popularity and influence from the perspective of source characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. Schaefers, Tobias & Falk, Tomas & Kumar, Ashish & Schamari, Julia, 2021. "More of the same? Effects of volume and variety of social media brand engagement behavior," Journal of Business Research, Elsevier, vol. 135(C), pages 282-294.
    3. Santos-Vijande, María Leticia & Gómez-Rico, Mar & Molina-Collado, Arturo & Davison, Robert M., 2022. "Building user engagement to mhealth apps from a learning perspective: Relationships among functional, emotional and social drivers of user value," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. Soren, Anup Anurag & Chakraborty, Shibashish, 2023. "The formation of habit and word-of-mouth intention of over-the-top platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Liao, Junyun & Pang, Jiecong & Dong, Xuebing, 2023. "More gain, more give? The impact of brand community value on users’ value co-creation," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. Yan, Ying & Chen, Hongquan & Shao, Bingjia & Lei, Yuanyang, 2023. "How IT affordances influence customer engagement in live streaming commerce? A dual-stage analysis of PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    7. Abu Elnasr E. Sobaih & Ahmed Hasanein & Ibrahim Elshaer, 2020. "Influences of Green Human Resources Management on Environmental Performance in Small Lodging Enterprises: The Role of Green Innovation," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    8. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    10. Conde, Rita & Casais, Beatriz, 2023. "Micro, macro and mega-influencers on instagram: The power of persuasion via the parasocial relationship," Journal of Business Research, Elsevier, vol. 158(C).
    11. Anna S. Cui & Fang Wu, 2016. "Utilizing customer knowledge in innovation: antecedents and impact of customer involvement on new product performance," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 516-538, July.
    12. Alyahya, Mansour & Agag, Gomaa & Aliedan, Meqbel & Abdelmoety, Ziad H., 2023. "A cross-cultural investigation of the relationship between eco-innovation and customers boycott behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Samuel Adomako, 2020. "Environmental collaboration, sustainable innovation, and small and medium‐sized enterprise growth in sub‐Saharan Africa: Evidence from Ghana," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1609-1619, November.
    14. Keszey, Tamara, 2018. "Trust, perception, and managerial use of market information," International Business Review, Elsevier, vol. 27(6), pages 1161-1171.
    15. Koryoe Anim-Wright & Rhodalene Amartey, 2024. "Examining the Effect of Brand Like and Brand Love on Brand Loyalty," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(2), pages 1-51, March.
    16. Fournier, Pierre-Luc & Chênevert, Denis & Jobin, Marie-Hélène, 2021. "The antecedents of physicians’ behavioral support for lean in healthcare: The mediating role of commitment to organizational change," International Journal of Production Economics, Elsevier, vol. 232(C).
    17. Zhang, Haisu & Wu, Fang & Cui, Anna Shaojie, 2015. "Balancing market exploration and market exploitation in product innovation: A contingency perspective," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 297-308.
    18. Maduku, Daniel K. & Mpinganjira, Mercy & Rana, Nripendra P. & Thusi, Philile & Ledikwe, Aobakwe & Mkhize, Njabulo Happy-boy, 2023. "Assessing customer passion, commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    19. Osei-Frimpong, Kofi & McLean, Graeme & Wilson, Alan & Lemke, Fred, 2020. "Customer coproduction in healthcare service delivery: Examining the influencing effects of the social context," Journal of Business Research, Elsevier, vol. 120(C), pages 82-93.
    20. Mortimer, Gary & Fazal-e-Hasan, Syed Muhammad & Grimmer, Martin & Grimmer, Louise, 2020. "Explaining the impact of consumer religiosity, perceived risk and moral potency on purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8097-:d:1148291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.