IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v10y2020i3p2158244020939536.html
   My bibliography  Save this article

Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust

Author

Listed:
  • Syed Far Abid Hossain
  • Zhao Xi
  • Mohammad Nurunnabi
  • Khalid Hussain

Abstract

The article analyzes the role of driving m-commerce with social networking and therefore provides insight into how the application of mobile apps influences customers’ perceptions on purchasing products online and on the mode of payment. The consumers are engaged in social interactions through the internet by the new opportunities provided by social media. These interactions provide and generate certain values for both businesses and consumers. An upsurge in the application of social media on mobile phones by users is evident, giving optimism and the ability to view the role of the integration of m-commerce into social media. Certain criteria like mobile app compatibility, trust, perceived value of mobile phone apps for online shopping, and online payment are examined from the point of view of consumers who purchase products, save purchase time, and provide easy use and security through social networking sites and m-commerce. Adoption of a digital mode of payment is affected by the education level of the consumers as, if they are internet savvy, they will be more inclined to use the digital payment mode. The article not only discusses the role of education in the better understanding of consumers toward the application of online modes of transaction through mobile phones, but also indicates that there are security issues, although these have been resolved to some extent by technological advances. Yet, there is need for the retailers as well as the consumers to achieve further technological progress.

Suggested Citation

  • Syed Far Abid Hossain & Zhao Xi & Mohammad Nurunnabi & Khalid Hussain, 2020. "Ubiquitous Role of Social Networking in Driving M-Commerce: Evaluating the Use of Mobile Phones for Online Shopping and Payment in the Context of Trust," SAGE Open, , vol. 10(3), pages 21582440209, July.
    • Handle: RePEc:sae:sagope:v:10:y:2020:i:3:p:2158244020939536
    DOI: 10.1177/2158244020939536
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244020939536
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2158244020939536?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bandara, Ruwan & Fernando, Mario & Akter, Shahriar, 2020. "Explicating the privacy paradox: A qualitative inquiry of online shopping consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    2. Michael Saker & Leighton Evans, 2016. "Locative Media and Identity," SAGE Open, , vol. 6(3), pages 21582440166, August.
    3. Ström, Roger & Vendel, Martin & Bredican, John, 2014. "Mobile marketing: A literature review on its value for consumers and retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1001-1012.
    4. Capatina, Alexandru & Kachour, Maher & Lichy, Jessica & Micu, Adrian & Micu, Angela-Eliza & Codignola, Federica, 2020. "Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Okazaki, Shintaro & Navarro, Angeles & Mukherji, Prokriti & Plangger, Kirk, 2019. "The curious versus the overwhelmed: Factors influencing QR codes scan intention," Journal of Business Research, Elsevier, vol. 99(C), pages 498-506.
    6. Barari, Mojtaba & Ross, Mitchell & Surachartkumtonkun, Jiraporn, 2020. "Negative and positive customer shopping experience in an online context," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    7. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    8. Buellingen, Franz & Woerter, Martin, 2004. "Development perspectives, firm strategies and applications in mobile commerce," Journal of Business Research, Elsevier, vol. 57(12), pages 1402-1408, December.
    9. Mani, Venkatesh & Gunasekaran, Angappa, 2018. "Four forces of supply chain social sustainability adoption in emerging economies," International Journal of Production Economics, Elsevier, vol. 199(C), pages 150-161.
    10. Maryam Barkhordari & Zahra Nourollah & Hoda Mashayekhi & Yoosof Mashayekhi & Mohammad S. Ahangar, 2017. "Factors influencing adoption of e-payment systems: an empirical study on Iranian customers," Information Systems and e-Business Management, Springer, vol. 15(1), pages 89-116, February.
    11. Lee, Yong-Ki & Park, Jong-Hyun & Chung, Namho & Blakeney, Alisha, 2012. "A unified perspective on the factors influencing usage intention toward mobile financial services," Journal of Business Research, Elsevier, vol. 65(11), pages 1590-1599.
    12. Malthouse, Edward C. & Haenlein, Michael & Skiera, Bernd & Wege, Egbert & Zhang, Michael, 2013. "Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 270-280.
    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. Yoon, Jae Yeon & Lee, Chaehyeon & Choi, Jeonghye & Chang, Sue Ryung & Kim, Jikyung, 2022. "The effect of social media apps on shopping apps," Journal of Business Research, Elsevier, vol. 148(C), pages 23-32.
    2. Andro Agil Nur Rakhmad Nur Rakhmad & Dediek Tri Kurniawan Kurniawan & Yesiana Ihda Kusnayain, 2021. "Transformation electronic payment system as predictor on financial satisfaction," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(8), pages 250-256, December.
    3. Saeedeh Poormoosa Abkenar & Iman Raeesi Vanani & Babak Sohrabi & Amir Manian, 2024. "Social Commerce Mobile Application Enhancement: a hybrid text clustering - topic modeling business model analysis," Electronic Commerce Research, Springer, vol. 24(3), pages 1927-1965, September.
    4. Chakraborty, Debarun & Siddiqui, Aaliyah & Siddiqui, Mujahid & Rana, Nripendra P. & Dash, Ganesh, 2022. "Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Haitham Medhat Abdelaziz Elsayed Aboulilah & Syed Far Abid Hossain & Bui Nhat Vuong & Tawfiq Jebril, 2022. "Exploring the Relationship between WeChat Usage and E-purchase Intention During the COVID-19 Pandemic Among University Students in China," SAGE Open, , vol. 12(4), pages 21582440221, November.
    6. Lian Tang & Siti Zobidah Omar & Jusang Bolong & Julia Wirza Mohd Zawawi, 2021. "Social Media Use Among Young People in China: A Systematic Literature Review," SAGE Open, , vol. 11(2), pages 21582440211, May.
    7. Witold Chmielarz & Marek Zborowski & Alicja Fandrejewska & Mesut Atasever, 2021. "Poland–Turkey Comparison of Mobile Payments Quality in Pandemic Time," JRFM, MDPI, vol. 14(9), pages 1-22, September.

    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. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    2. Hajian, Ava & Sadeghi, Russell & Prybutok, Victor R. & Koh, Chang E., 2024. "Increasing trust and value of mobile advertising in retailing: A survey design, machine learning approach, and blockchain in the trust path," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. Josef Schwaiger & Timo Hammerl & Johannsen Florian & Susanne Leist, 2021. "UR: SMART–A tool for analyzing social media content," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1275-1320, December.
    4. März, Armin & Lachner, Michael & Heumann, Christian G. & Schumann, Jan H. & von Wangenheim, Florian, 2021. "How You Remind Me! The Influence of Mobile Push Notifications on Success Rates in Last-Minute Bidding," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 11-24.
    5. 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.
    6. Agnès Helme-Guizon & Fanny Magnoni, 2019. "Consumer brand engagement and its social side on brand-hosted social media: how do they contribute to brand loyalty?," Post-Print hal-03591683, HAL.
    7. Komal Nagar, 2018. "Assessing the Impact of Online Retailer Models on Consumer’s Attitude and Purchase Intentions," IIM Kozhikode Society & Management Review, , vol. 7(1), pages 1-12, January.
    8. Shah, Purvi, 2020. "Managing customer reactions to brand deletion in B2B and B2C contexts," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Rydén, Pernille & Ringberg, Torsten & Wilke, Ricky, 2015. "How Managers' Shared Mental Models of Business–Customer Interactions Create Different Sensemaking of Social Media," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 1-16.
    10. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Rodríguez-López, María Eugenia & Higueras-Castillo, Elena & Rojas-Lamorena, Álvaro J. & Alcántara-Pilar, Juan Miguel, 2024. "The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    12. Halloran, Timothy J. & Lutz, Richard J., 2021. "Let's Give Them Something to Talk About: Which Social Media Engagements Predict Purchase Frequency?," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 83-95.
    13. Margarita De-Miguel-Guzmán & Carlos Ronquillo-Bolaños & Alexander Sánchez-Rodríguez & Gelmar García-Vidal & Reyner Pérez-Campdesuñer & Rodobaldo Martínez-Vivar, 2020. "Analysis of the Effectiveness of Advertising Messages. Comparison by Media, Typology, and Schedule of Advertisements," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 32(1), pages 27-46.
    14. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    15. Attahiru Gana, Matthew, 2018. "Personalization Of Tourism Services Through Locationbased Social Network In Nigeria," Ilorin Journal of Business and Social Sciences, Faculty of Social Sciences, University of Ilorin, vol. 20(1), pages 104-117, March.
    16. Fredström, Ashkan & Parida, Vinit & Wincent, Joakim & Sjödin, David & Oghazi, Pejvak, 2022. "What is the Market Value of Artificial Intelligence and Machine Learning? The Role of Innovativeness and Collaboration for Performance," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    17. Xuechao Sui & Xianhui Geng, 2021. "Continuous usage intention to e-transaction cards in wholesale markets of agriproducts: empirical evidence from China," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    18. Muhammad Tanveer & Harsandaldeep Kaur & George Thomas & Haider Mahmood & Mandakini Paruthi & Zhang Yu, 2021. "Mobile Phone Buying Decisions among Young Adults: An Empirical Study of Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    19. Robin Hogrefe & Sabine Bohnet-Joschko, 2023. "The Social Dimension of Corporate Sustainability: Review of an Evolving Research Field," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    20. Carlson, Jamie & Rahman, Mohammad M. & Taylor, Alexander & Voola, Ranjit, 2019. "Feel the VIBE: Examining value-in-the-brand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 149-162.

    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:sae:sagope:v:10:y:2020:i:3:p:2158244020939536. 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: SAGE Publications (email available below). General contact details of provider: .

    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.