Perception of Social Media Use on Home Industry Product Promotion: Expectations-Confirmation Theory (ECT) Perspective

Authors

  • Anggy Qurnia Raafi Hasibuan Universitas Dharmas Indonesia

DOI:

https://doi.org/10.35134/jbe.v9i1.253

Keywords:

Perception, Social Media, Promotion, Home Industry Products, Expectations-Confirmation Theory

Abstract

This study discusses the perception of the use of social media in the promotion of home industry products with the perspective of Expectations Confirmation Theory (ECT). This type of research uses an explanatory research method that explains the causal relationship (cause and effect) to test the hypothesis to explain the relationship and influence between variables. Data collection in this study used a questionnaire instrument using a closed-ended question. The data in this study were analyzed using the smartPLS application. The results showed (1) there was a significant effect of Confirmation on Satisfication, (2) there was a significant positive effect of Service Quality on Satisfication, (3) there was an insignificant effect of Confirmation on Continuance Intention, (4) there was a significant effect of Confirmation on Continuance Intention, (5) there is an insignificant effect of Satisfication on Continuance Intention, (6) there is an insignificant effect of Confirmation on Continuance Intention through Satisfication. Then Continuance Intention will decrease through Satisfication, and Continuance Intention will increase if directly influenced by Confirmation, (7) there is an insignificant effect of Service Quality on Continuance Intention through Satisfication. Then Continuance Intention will decrease through Satisfication. Continuance Intention will increase if directly influenced by Service Quality.

References

Alruwaie, M., El-Haddadeh, R., & Weerakkody, V. (2020). Citizens’ continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction. Government Information Quarterly, 37(3), 101485.

Andersson, U., Cuervo-Cazurra, A., & Nielsen, B. B. (2020). Explaining interaction effects within and across levels of analysis. Research Methods in International Business, 331–349.

Constantinides, E., Romero, C. L., & Boria, M. A. G. (2009). Social media: a new frontier for retailers? European Retail Research, 1–28.

Daneji, A. A., Ayub, A. F. M., & Khambari, M. N. M. (2019). The effects of perceived usefulness, confirmation and satisfaction on continuance intention in using massive open online course (MOOC). Knowledge Management & E-Learning, 11(2), 201–214.

De Ona, J., de Oña, R., Eboli, L., Forciniti, C., & Mazzulla, G. (2016). Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction. Transportmetrica A: Transport Science, 12(5), 385–412.

Fu, X., Zhang, J., & Chan, F. T. S. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476–490.

Hossain, M. A., & Quaddus, M. (2012). Expectation–confirmation theory in information system research: A review and analysis. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, 441–469.

Huang, P.-L., Lee, B. C. Y., & Chen, C.-C. (2019). The influence of service quality on customer satisfaction and loyalty in B2B technology service industry. Total Quality Management & Business Excellence, 30(13–14), 1449–1465.

Kasiri, L. A., Cheng, K. T. G., Sambasivan, M., & Sidin, S. M. (2017). Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty. Journal of Retailing and Consumer Services, 35, 91–97.

Khayer, A., Bao, Y., & Nguyen, B. (2020). Understanding cloud computing success and its impact on firm performance: an integrated approach. Industrial Management & Data Systems, 120(5), 963–985.

Kim, H. (2018). The Effects of e-Service Quality on Satisfaction and Continuance Intention in Cryptocurrency Exchange. Journal of the Korea Industrial Information Systems Research, 23(6), 113–123.

Li, Y. (2022). Identity construction in social media: A study on blogging continuance. Behaviour & Information Technology, 41(8), 1671–1688.

Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34–47.

Shao, Z., Li, X., Guo, Y., & Zhang, L. (2020). Influence of service quality in sharing economy: Understanding customers’ continuance intention of bicycle sharing. Electronic Commerce Research and Applications, 40, 100944.

Sharafizad, J. (2016). Women business owners’ adoption of information and communication technology. Journal of Systems and Information Technology, 18(4), 331–345.

Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers, 22, 243–257.

Tran, L. T. T., Pham, L. M. T., & Le, L. T. (2019). E-satisfaction and continuance intention: The moderator role of online ratings. International Journal of Hospitality Management, 77, 311–322.

Downloads

Published

2024-01-10

How to Cite

Hasibuan, A. Q. R. . (2024). Perception of Social Media Use on Home Industry Product Promotion: Expectations-Confirmation Theory (ECT) Perspective. UPI YPTK Journal of Business and Economics, 9(1), 37–41. https://doi.org/10.35134/jbe.v9i1.253