Purchase Intention Determinants for Social Networking Sites During the Post-Pandemic Period: A Structural Equation Modeling Approach

Main Article Content

Phyo Min Tun
Benjawan Srisura
Atikom Srivallop
Veerawan Vararuth

Abstract

Aim/Purpose: Social networking sites (SNS) have become essential platforms not only for socializing, but also for conducting business operations such as buying and selling. Therefore, it is important to examine the factors that influence customers' intention to purchase on these platforms. In the post-pandemic period, advancements in technology and the increasing use of social networking sites have led to a surge in shopping on social media platforms. This research study aimed to investigate the determinants of the intention to purchase products and services on SNS during the post-pandemic period. Social media has become an indispensable technology in daily life, with Facebook emerging as a dominant platform for exploring, comparing, buying, and selling products and services anytime, anywhere.


Introduction/Background: The emergence of social media technology has changed the ways and methods of conducting business, most notably during the COVID-19 pandemic. Social media technology supports a new environment and functions that businesses can use to grow and interact with their customers regularly without having a physical location or direct contact. Social media platforms have emerged as popular channels for online shopping, magnifying interactions between online sellers and buyers. They provide businesses with a new avenue to showcase, present, and sell their products and services, so understanding social media marketing has become crucial. There are about 54 million people in Myanmar, and 41.5 million of them are Internet users. Almost all Internet users also use social media platforms, and notably, 14.5 million of them are active on the Facebook platform. Social commerce is a new form of e-commerce that takes place on social media platforms, facilitating social activities like communication, contribution, interaction, and sharing throughout the buying and selling process.


Methodology: A deductive, cross-sectional, quantitative research method was employed in this study, involving 332 Facebook users from Myanmar. A non-probability convenience sampling method was employed, and a survey questionnaire was created using a Google Form to save time and costs; this was an effective way to gather data from a large number of respondents. A 5-point Likert scale was used to measure all construct variables except for the demographic variables. Structural equation modeling was used to analyze the collected data, and data analysis was performed in AMOS software.


Findings: All the constructs were examined using confirmatory factor analysis for validity and reliability. The Average Variance Extracted and Composite Reliability values for each construct demonstrated how effectively the indicators converged to represent the underlying constructs. According to the hypotheses testing results, two hypotheses (H3, H5) were accepted, while three hypotheses (H1, H2, H4) were rejected. Therefore, among the five determinants (Social Influence, Word-of-Mouth, Perceived Ease of Use, Trust, and Perceived Enjoyment), only two (Perceived Ease of Use and Perceived Enjoyment) were statistically significant for the intention to purchase products and services on social networking sites.


Contribution/Impact on Society: Enjoyment was more important than Ease of Use for social media users when shopping online. Social Influence and Word-of-Mouth did not effectively encourage social media users to make purchases on social networking sites. In addition, Trust was not necessary, especially for users with online shopping experience. Sellers on SNS platforms should recognize that customers favor buying products and services on these platforms because of their ease of use and adaptability. These platforms help users discover the products and services that they may need, and customers find the purchasing process straightforward to learn. Online retailers should develop a simple and transparent purchasing process, making product details, price comparisons, order placement, payment options, and shipping methods easily accessible and user-friendly. This study's findings indicate that Perceived Enjoyment influenced purchase intention more than Perceived Ease of Use. Therefore, e-retailers should prioritize creating engaging and enjoyable content rather than focusing solely on simplifying the purchasing process.


Recommendations: This research study should be replicated on other social networking sites, such as TikTok, X (formerly known as Twitter), and Instagram, with additional factors and a larger sample size. Conducting similar research in different regions, cultures, and circumstances is also recommended. Moreover, this study was carried out solely in Myanmar, indicating that the research model used may not be applicable to other countries, as online shopping behaviors may vary considerably across different social media platforms.


Research Limitations: A primary limitation of this study was its focus on only five factors as antecedents of the intention to purchase products and services through SNS platforms. This study excluded other potential constructs that may influence purchasing intentions. Furthermore, all respondents were Facebook users with previous online shopping experience, which may not reflect the behavior of users on other SNS platforms. Although the sample of Facebook users was relevant given their prevalence in Myanmar's social media scene, the findings were limited by concerns about representativeness.


Future Research: The current research model could be extended with additional constructs, and a longitudinal study could be conducted since users' behavior changes over time. Similar research studies should be conducted in other contexts such as mobile commerce, e-commerce, and online commerce.

Article Details

Section
Research Articles

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Al-Alawi, A. I., Almohammedsaleh, Z., Saffar, E. M., & Wahab, F. (2020). Factors affecting consumers’ online purchase intention through social media platforms in Saudi Arabia and Bahrain. Arab Gulf Journal of Scientific Research, 38(4), 241–259. https://doi.org/10.51758/AGJSR-04-2020-0014

Al-Haddad, S., Sharabati, A.-A. A., Harb, L., Husni, A., & Abdelfattah, M. (2022). E-WOM and consumers’ purchase intention: An empirical study on Facebook. Innovative Marketing, 18(3), 149–158. https://doi.org/10.21511/im.18(3).2022.13

Andijani, A., & Kang, K. (2022). Social commerce acceptance after post COVID-19 pandemic in Saudi women customers: A multi-group analysis of customer age. Sustainability, 14(16), 10213. https://doi.org/10.3390/su141610213

Avakiat, S., & Roopsuwankun, P. (2021). The important factors influencing the purchase decision of products via online application (Mobile application) of consumers in Bangkok. Apheit International Journal, 10(2), 45–56. https://so04.tci-thaijo.org/index.php/ATI/article/view/254397/173697

Bernard, D. T., Munasinghe, A. A., Premarathne, I. K., & Wijayarathne, S. (2020). The influence of Facebook marketing on consumer buying intention of clothing: Evidence from young adults. Archives of Business Review, 8(9), 37–51. https://doi.org/10.14738/abr.89.8992

Bokhari, S. I., Ihsan, D. H., & Jamshaid, F. (2021). Impact of social network Facebook marketing predictors on customer purchase intention. The Journal of Contemporary iIssues in Business and Government, 27(5), 2238–2252. https://cibgp.com/au/index.php/1323-6903/article/view/2081

Chandara, V., Pongpaibool, P., & Norng, S. (2023). Factors influencing behavioral intention to purchase online on Facebook platform: A case study in Phnom Penh city. Journal of ASEAN PLUS Studies, 4(1), 61–74. https://so06.tci-thaijo.org/index.php/aseanplus/article/view/264894

Chetioui, Y., Butt, I., & Lebdaoui, H. (2021). Facebook advertising, eWOM and consumer purchase intention-Evidence from a collectivistic emerging market. Journal of Global Marketing, 34(3), 220–237. https://doi.org/10.1080/08911762.2021.1891359

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates.

Dang, H. L., Bao, N. V., & Cho, Y. (2023). Consumer behavior towards E-commerce in the post-COVID-19 pandemic: Implications for relationship marketing and environment. Asian Journal of Business Environment, 13(1), 9–19. https://doi.org/10.13106/ajbe.2023.vol13.no1.9

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human-Computer Studies, 45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040

Elshaer, I. A., Alrawad, M., Lutfi, A., & Azazz, A. M. (2024). Social commerce and buying intention post COVID-19: Evidence from a hybrid approach based on SEM – fsQCA. Journal of Retailing and Consumer Services, 76(1), 103548. https://doi.org/10.1016/j.jretconser.2023.103548

Ferdiansyah, O. A., & Nugroho, S. H. (2023). Consumer purchase intention post COVID-19 pandemic through marketplace : An action learning study. Jurnal Ilmiah Pangabdhi, 9(2), 184–194. https:/doi.org/10.21107/pangabdhi.v9i2.22848

Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Addison-Wesley.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Gupta, S., Agarwal, A. K., & Chauhan, A. K. (2019). Factors influencing the purchase decision of apparel brands through social media platforms. Indian Journal of Economics & Business, 8(2), 541–554. https://www.ashwinanokha.com/resources/6-Swati%20Gupta.pdf

Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Prentice-Hall.

Hanaysha, J. R. (2018). An examination of the factors affecting consumer’s purchase decision in the Malaysian retail market. PSU Research Review, 2(1), 7–23. https://doi.org/10.1108/PRR-08-2017-0034

Ikhlash, M., & Linda, K. R. (2024). The effect of risk perception and online trust on purchase intention in E-commerce. International Review of Management and Marketing, 14(6), 109–118. https://doi.org/10.32479/irmm.17111

Indrawan, Y. P., Tulung, J. E., & Arie, F. V. (2022). The effectiveness of Facebook advertising on consumer purchase intention on millennial generation in Manado. Jurnal EMBA, 10(3), 184–192. https://doi.org/10.35794/emba.v10i3.41628

Kemp, S. (2023, February 13). Digital 2023: Myanmar. Datareportal. https://datareportal.com/reports/digital-2023-myanmar

Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). The Guilford Press.

Lim, Y. S., Ng, T. H., Mohamad, W. N., & Lim, C. E. (2022). Facebook live: How it affects the purchase intention of generation Y in Malaysia? Journal of Business Management and Accounting, 12(1), 25–49. https://doi.org/10.32890/jbma2022.12.1.2

Lorenzo-Romero, C., Constantinides, E., & Alarco´n-del-Amo, M. C. (2011). Consumer adoption of social networking sites: Implications for theory and practice. Journal of Research in Interactive, 5(2/3), 170–188. https://doi.org/10.1108/17505931111187794

Neuman, W. L. (2006). Social research methods: Qualitative and quantitative approaches (6th ed.). Allyn and Bacon.

Ramirez-Correa, P. E., Arenas-Gaitan, J., Rondan-Cataluna, F. J., Grandon, E. E., & Ramirez-Santana, M. (2023). Adoption of social networking sites among older adults: The role of the technology readiness and the generation to identifying segments. PLoS ONE, 18(4), e0284585. https://doi.org/10.1371/journal.pone.0284585

Rao, K. S., Rao, B., & Acharyulu, G. (2021). Examining ePWOM-purchase intention link in Facebook brand fan pages: Trust beliefs, value co-creation and brand image as mediators. IIMB Management Review, 33(4), 309–321. https://doi.org/10.1016/j.iimb.2021.11.002

Saprikis, V., Markos, A., Zarmpou, T., & Vlachopoulou, M. (2018). Mobile shopping consumers’ behavior: An exploratory study and review. Journal of Theoretical and Applied Electronic Commerce Research, 13(1), 71–90. https://doi.org/10.4067/S0718-18762018000100105

Statista. (2025). Most popular social networks worldwide as of February 2025, ranked by number of monthly active users (in millions) [Graph]. https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

Shin, Y. H., & Hancer, M. (2016). The role of attitude, subjective norm, perceived behavioral control, and moral norm in the intention to purchase local food products. Journal of Foodservice Business Research, 19(4), 338–351. https://doi.org/10.1080/15378020.2016.1181506

Supotthamjaree, W., & Srinaruewan, P. (2021). The impact of social media advertising on purchase intention: The mediation role of consumer brand engagement. International Journal of Internet Marketing and Advertising, 15(5/6), 498–526. https://erp.mju.ac.th/openFile.aspx?id=NDc1ODc3&method=inline

Taemkongka, S., Pariyaprasert, W., & Leelakasemsant, C. (2022). The factors that influencing the online purchase intentions of furniture through online shopping platforms during the Covid-19 pandemic in Thailand. AU Hybrid International Conference 2024 on " Entrepreneurship & Sustainability in the Digital Era" Under the Theme of "People Centric Knowledge in Intelligence World", 3(1), 344–354. http://www.assumptionjournal.au.edu/index.php/icesde/article/view/6943

Tun, P. M. (2021). Female users’ behavioral intention to purchase in social commerce through social networking sites. Shirkah: Journal of Economics and Business, 6(2), 137–160. https://doi.org/10.22515/shirkah.v6i2.416

Tun, P. M. (2022). What is the role of T.E.A concept between positive recommendation and behavioural intention to purchase in social media? The South East Asian Journal of Management, 16(2), 23–42. https://doi.org/10.21002/seam.v16i2.1101

Yasmin, I., & Khanam, F. (2022). The effect of Facebook marketing on consumers’ purchase intention. Academic Journal on Business Administration, Innovation & Sustainability, 2(4), 13–25. https://www.researchgate.net/publication/380938153_The_Effect_of_Facebook_Marketing_on_Consumers'_Purchase_Intention

Zulqarnain, M., Iqbal, M., & Muneer, S. (2023). Impact of Social media marketing on purchase intention: Themoderating role of perceived enjoyment. Journal of Social Media Marketing, 2(2), 35–48. https://doi.org/10.33422/jsmm.v2i2.1171