IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v11y2019i11p224-d279931.html
   My bibliography  Save this article

Impacts of Video Display on Purchase Intention for Digital and Home Appliance Products—Empirical Study from China

Author

Listed:
  • Ruohong Hao

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Bingjia Shao

    (School of Economics and Business Administration, Chongqing University, Chongqing 400044, China
    Chongqing Key Laboratory of Logistics at Chongqing University, Chongqing 400044, China)

  • Rong Ma

    (School of Economics and Management, Yunnan Agricultural University, Kunming 650201, China)

Abstract

Rapid online trading expansion and the bloom of internet technologies has raised the importance of effective product video presentations for online retailers. This article developed a model for the impacts of video presentations on purchase intention for digital and home appliance products. Four group experiments were designed, and empirical tests were performed. This research found that presenting videos on how to use digital and home appliance products increased purchase intention by raising the information gained by customers. Meanwhile, video tutorial information had insignificant effects related to the knowledge and experience of customers.

Suggested Citation

  • Ruohong Hao & Bingjia Shao & Rong Ma, 2019. "Impacts of Video Display on Purchase Intention for Digital and Home Appliance Products—Empirical Study from China," Future Internet, MDPI, vol. 11(11), pages 1-19, October.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:224-:d:279931
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/11/11/224/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/11/11/224/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anuj Kumar & Yinliang (Ricky) Tan, 2015. "The Demand Effects of Joint Product Advertising in Online Videos," Management Science, INFORMS, vol. 61(8), pages 1921-1937, August.
    2. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    3. Zhenhui Jiang & Izak Benbasat, 2007. "Research Note---Investigating the Influence of the Functional Mechanisms of Online Product Presentations," Information Systems Research, INFORMS, vol. 18(4), pages 454-470, December.
    4. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    5. Viglia, Giampaolo & Pera, Rebecca & Bigné, Enrique, 2018. "The determinants of stakeholder engagement in digital platforms," Journal of Business Research, Elsevier, vol. 89(C), pages 404-410.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Shu Jiang & Zhanpeng Wang & Zilai Sun & Junhu Ruan, 2022. "Determinants of Buying Produce on Short-Video Platforms: The Impact of Social Network and Resource Endowment—Evidence from China," Agriculture, MDPI, vol. 12(10), pages 1-19, October.

    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. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    2. Moradi, Masoud & Dass, Mayukh & Kumar, Piyush, 2023. "Differential effects of analytical versus emotional rhetorical style on review helpfulness," Journal of Business Research, Elsevier, vol. 154(C).
    3. Hsieh, Jung-Kuei & Hsieh, Yi-Ching & Chiu, Hung-Chang & Yang, Ya-Ru, 2014. "Customer Response to Web Site Atmospherics: Task-relevant Cues, Situational Involvement and PAD," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 225-236.
    4. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    5. Bataoui, Soffien, 2022. "When e-commerce becomes more human by transposing the hospitality concept to merchant websites," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    6. Ha-Lim Rhee & Kyu-Hye Lee, 2021. "Enhancing the Sneakers Shopping Experience through Virtual Fitting Using Augmented Reality," Sustainability, MDPI, vol. 13(11), pages 1-14, June.
    7. Adrian MICU & Marius GERU & Angela-Eliza MICU, 2017. "Developing Customer Trust in E-Commerce Using Inbound Marketing Strategies," Proceedings RCE 2017, Editura Lumen, vol. 0, pages 522-531, November.
    8. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    9. Luis Jesús Córdova-Aguirre & Juan Manuel Ramón-Jerónimo, 2024. "Designing a Sustainability Assessment Framework for Peruvian Manufacturing Small and Medium Enterprises Applying the Stakeholder Theory Approach," Sustainability, MDPI, vol. 16(5), pages 1-23, February.
    10. Agus Sugiarto & Cheng-Wen Lee & Andrian Dolfriandra Huruta & Christine Dewi & Abbott Po Shun Chen, 2022. "Predictors of Pro-Environmental Intention and Behavior: A Perspective of Stimulus–Organism–Response Theory," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    11. repec:dgr:rugsom:04f04 is not listed on IDEAS
    12. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    13. Wei-Ching Wang & Chung-Hsien Lin, 2024. "Exploring the Importance of Destination Attributes of Sustainable Urban Waterfronts: Text and Data Mining of Tourists’ Online Reviews," Sustainability, MDPI, vol. 16(6), pages 1-17, March.
    14. Ralph Stephen Leyeza & Mikka Marielle Boado & Obed Butacan & Donn Enrique Moreno & Lourdes Deocariza, 2023. "The Role of Loan-Related Risk Appetite in the Relationship between Financial Risk Considerations and MSME Growth Decision: A Mediation Analysis," JRFM, MDPI, vol. 16(5), pages 1-20, May.
    15. Collins Opoku Antwi & Jun Ren & Wenyu Zhang & Wilberforce Owusu-Ansah & Michael Osei Aboagye & Emmanuel Affum-Osei & Richard Adu Agyapong, 2022. "“I Am Here to Fly, but Better Get the Environment Right!” Passenger Response to Airport Servicescape," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    16. Mansoora Ahmed & Sun Zehou & Syed Ali Raza & Muhammad Asif Qureshi & Sara Qamar Yousufi, 2020. "Impact of CSR and environmental triggers on employee green behavior: The mediating effect of employee well‐being," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2225-2239, September.
    17. Davis, Lenita & Wang, Sijun & Lindridge, Andrew, 2008. "Culture influences on emotional responses to on-line store atmospheric cues," Journal of Business Research, Elsevier, vol. 61(8), pages 806-812, August.
    18. Prarawan Senachai & Puthipong Julagasigorn, 2024. "Retail mix instruments influencing customer perceived value and customer engagement: a conceptual framework and research agenda," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    19. Yang Zhao & Yixuan Li & Ning Wang & Ruoxin Zhou & Xin (Robert) Luo, 2022. "A Meta-Analysis of Online Impulsive Buying and the Moderating Effect of Economic Development Level," Information Systems Frontiers, Springer, vol. 24(5), pages 1667-1688, October.
    20. Adrian Micu & Alexandru Capatina & Angela-Eliza Micu & Robert Rusu & Constantin Avram, 2019. "Configurations of Causal Conditions Leading to Geotagged Image and Social Context Recognition in the Case of AI Media Platform," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 479-486.
    21. Yin, Fa-Shing & Liu, Min-Ling & Lin, Chieh-Peng, 2015. "Forecasting the continuance intention of social networking sites: Assessing privacy risk and usefulness of technology," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 267-272.

    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:jftint:v:11:y:2019:i:11:p:224-:d:279931. 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.