Examining Factors Correlating with Social Commerce Behavior in Generation X

Bernardinus Harnadi, Aurelia Inten Astari, Sentot Suciarto

Abstract


The purpose of this study was to investigate the behavioral factors that influence the acceptance of Generation X in making purchases at social commerce.

The research was conducted using the FGD method and interviews with representatives of generation X and social media experts to capture the phenomenon of this generation's acceptance of social commerce technology. A literature review study was carried out to reveal the factors that influence the acceptance of social commerce and propose hypotheses and research models based on these findings. The questionnaire was developed based on the hypothesis and distributed to this generation as many as 189 respondents using a purposive sampling method. Data testing was carried out using descriptive statistical methods, validity, reliability, and correlation tests. Analysis of individual respondent factors was carried out to reveal the characteristics of generation X. Correlation analysis was carried out to gain insight into the relationship between the factors studied and the acceptance factor of generation X for social commerce technology.

The results of this study will provide insight into the buying behavior of Generation X in making purchases on social commerce. These insights will be useful to marketing scientists, those wishing to do business with this generation and marketing policy makers. How to use the factors resulting from this research to attract generation X to purchase products in social commerce..


Keywords


social commerce; technology acceptance; generation X; social media; E-commerce

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References


Media Indonesia. 2022. Pengguna Internet Tembus 204,7 Juta, Kemenkominfo: Literasi Digital Penting. https://mediaindonesia.com/ekonomi/510689/pengguna-internet-tembus-2047-juta-kemenkominfo-literasi-digital-penting

Intelligence, I. (2021). Social Commerce 2021: Brand Trends & Marketing Strategies. https://www.insiderintelligence.com/insights/social-commerce-brand-trendsmarketing strategies/

Lewis, Khenilyn P. et al. 2018. Social Commerce Acceptance of Students in a State University in the Phillipines: A Unified View. Circulation in Computer Science, Vol.3, No.3, pp: (1-5), May 2018. http://dx.doi.org/10.22632/ccs-2018-252-80

Gatautis, Rimantas and Audrone Medziausiene. 2013. Factors Affecting Social Commerce Acceptance in Lithuania. Contemporary Issues in Business, Management and Education 2013. http://dx.doi.org/10.1016/j.sbspro.2013.12.970

Beaven, M. 2007. Generational Differences in the Workplace: Thinking Outside the Boxes. Contemporary Journal of Anthropology and Sociology, 4(1), 68-80. https://www.researchgate.net/publication/260307671_Generational_Differences_in_the_Workplace_Thinking_Outside_the_Boxes

Fozahard, J.L. and H-W. Wahl. 2012. Age and Cohor Effects in Gerontechology a Reconsideration. Gerontotechnology 11, pg 10-21. http://dx.doi.org/10.4017/gt.2012.11.01.003.00

Venkatesh, V., Morris, M., Davis, G. and Davis, F. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J., Xu, X., 2012. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36 (1), 157–178. https://doi.org/10.2307/41410412

Rose, S., Hair, N., Clark, M., 2011. Online customer experience: a review of the business‐to‐consumer online purchase context. Int. J. Manag. Rev. 13 (1), 24–39. https://doi.org/10.1111/j.1468-2370.2010.00280.x

Wong, C.H., Lee, H.S., Lim, Y.H., Chua, B.H., Tan, G.W.H., 2012. Predicting the consumers’ intention to adopt mobile shopping: an emerging market perspective. Int. J. Netw. Mob. Technol. 3 (3), 24–39. https://www.researchgate.net/publication/279298682

Zhang, L., Zhu, J., Liu, Q., 2012. A meta-analysis of mobile commerce adoption and the moderating effect of culture. Comput. Human. Behav. 28 (5), 1902–1911. http://dx.doi.org/10.1016/j.chb.2012.05.008

Agrebi, S., Jallais, J., 2015. Explain the intention to use smartphones for mobile shopping. J. Retail. Consum. Serv. 22 (1), 16–23. https://doi.org/10.1016/j.jretconser.2014.09.003

Holmes, A., Byrne, A., Rowley, J., 2014. Mobile shopping behaviour: insights into attitudes, shopping process involvement and location. Int. J. Retail Distrib. Manag. 42 (1), 25–39. https://doi.org/10.1108/IJRDM-10-2012-0096

Hung, M.C., Yang, S.T., Hsieh, T.C., 2012. An examination of the determinants of mobile shopping continuance. Int. J. Electron. Bus. Manag. 10 (1), 29–37. http://nhuir.nhu.edu.tw/bitstream/987654321/27104/1/An+Examination.pdf

San-Martin, S., López-Catalán, B., 2013. How can a mobile vendor get satisfied customers? Ind. Manag. Data Syst. 113 (2), 156–170. http://dx.doi.org/10.1108/02635571311303514

Ström, R., Vendel, M., Bredican, J., 2014. Mobile marketing: a literature review on its value for consumers and retailers. J. Retail. Consum. Serv. 21 (1), 1001–1012. http://dx.doi.org/10.1016/j.jretconser.2013.12.003

Benamati, J., Fuller, M.A., Serva, M.A., Baroudi, J., 2010. Clarifying the integration of trust and TAM in e-commerce environments: implications for systems design and management. Eng. Manag. IEEE Trans. 57 (3), 380–393. http://dx.doi.org/10.1109/TEM.2009.2023111

Lin, J., Lu, Y., Wang, B., Wei, K.K., 2011. The role of inter-channel trust transfer in establishing mobile commerce trust. Electron. Commer. Res. Appl. 10 (6), 615–625. http://dx.doi.org/10.1016/j.elerap.2011.07.008

Luo, X., Li, H., Zhang, J., Shim, J.P., 2010. Examining multi-dimensional trust and multifaceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decis. Support Syst. 49 (2), 222–234. http://dx.doi.org/10.1016/j.dss.2010.02.008

McCole, P., Ramsey, E., Williams, J., 2010. Trust considerations on attitudes towards online purchasing: the moderating effect of privacy and security concerns. J. Bus. Res. 63 (9), 1018–1024. http://dx.doi.org/10.1016/j.jbusres.2009.02.025

Slade, E.L., Dwivedi, Y.K., Piercy, N.C., Williams, M.D., 2015. Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychol. Mark. 32 (8), 860–873. https://research-information.bris.ac.uk/files/130785321/SladeetalPM2015Final.pdf

Faqih, K.M., 2011. Integrating perceived risk and trust with technology acceptance model: An empirical assessment of customers' acceptance of online shopping in Jordan. In Research and Innovation in Information Systems (ICRIIS), 2011 International Conference on pp. 1–5. IEEE. http://dx.doi.org/10.1109/ICRIIS.2011.6125686

Gefen, D., 2000. E-commerce: the role of familiarity and trust. Omega 28 (6), 725–737. http://dx.doi.org/10.1016/S0305-0483(00)00021-9

Gefen, D., Straub, D.W., 2004. Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega 32 (6), 407–424. http://dx.doi.org/10.1016/j.omega.2004.01.006

Porter, C.E., Donthu, N., Baker, A., 2012. Gender differences in trust formation in virtual communities. J. Mark. Theory Pract. 20 (1), 39–58. http://dx.doi.org/10.2307/23243694

Chiu, H.C., Hsieh, Y.C. and Kao, C.Y. (2005) ‘Website quality and customer’s behavioral intention: an exploratory study of the role of information asymmetry’. Total Quality Management and Business Excellence, Vol. 16, No. 2, pp.185–197. https://doi.org/10.1080/14783360500054277

Al-Louzi, B., Iss, B., 2011. Factors influencing customer acceptance of m-commerce services in Jordan. J. Commun. Comput. 9, 1424–1436. https://www.semanticscholar.org/paper/Factors-Influencing-Customer-Acceptance-of-Services-Basem-Al-Louzi/93c8697ebecf215104d545e88212a89c3eaca234

Jaradat, M., Rababaa, M., 2013. Assessing key factor that influence on the acceptance of mobile commerce based on modified UTAUT. Int. J. Bus. Manag. 8 (23), 102–112. http://dx.doi.org/10.5539/ijbm.v8n23p102

Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., 2017. Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust. Int. J. Inf. Manage. 37, 99–110. http://dx.doi.org/10.1016/j.ijinfomgt.2017.01.002

Arenas-Gaitán, J., Peral-Peral, B., Ramón-Jerónimo, M.A., 2015. Elderly and Internet Banking: an application of UTAUT2. J. Internet Banking Commerce 20 (1), 1–23. https://www.researchgate.net/publication/277924056_Elderly_and_internet_banking_An_application_of_UTAUT2

Lallmahomed, M.Z., Lallmahomed, N., Lallmahomed, G.M., 2017. Factors influencing the adoption of e-Government services in Mauritius. Telematics Inf. 34 (4), 57–72. http://dx.doi.org/10.1016/j.tele.2017.01.003

Wang, Y. S. and Liao, Y. W. 2008. Understanding individual adoption of mobile booking services: an empirical investigation. Cyber Psychol. Behav. 1 (5), 603-605. http://dx.doi.org/10.1089/cpb.2007.0203




DOI: https://doi.org/10.24167/sisforma.v11i2.10843

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