THE INFLUENCE OF PERCEIVED INFORMATION QUALITY, USER INTERFACE ATTRACTIVENESS AND SOCIAL PROOF OF QUICK SERVICE RESTAURANT APPLICATIONS ON DECISION CONFIDENCE AND PURCHASING BEHAVIOR

ผู้แต่ง

คำสำคัญ:

Quick Service Restaurant, Information Quality, Social Proof, Consumer Confidence, Purchase Behavior

บทคัดย่อ

The Thai quick service restaurant (QSR) industry experienced rapid expansion along with the increasing use of mobile food ordering applications. This study investigates the effects of application design attributes on consumer behavior by examining how perceived information quality, user interface attractiveness, and social proof affect perceived control and the extent to which perceived control influences decision confidence and purchase behavior. Based on Cognitive Load Theory, Elaboration Likelihood Model, and Theory of Planned Behavior, this study proposes an integrated framework to explain consumers' interaction with quick service restaurant (QSR) mobile applications. Data were collected from 400 Thai consumers who used the QSR application. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study confirmed the interdependence between key constructs. The results show that perceived information quality is the strongest predictor of perceived control, followed by user interface attractiveness and social proof. Perceived control has a strong influence on decision confidence, which is a strong predictor of purchase behavior. In addition, decision confidence fully mediates the impact of application design features on ultimate purchase behavior. The results have important implications for application developers and QSR operators.

เอกสารอ้างอิง

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

Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. https://doi.org/10.1016/j.im.2006.12.008

Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008

ASEAN Food & Beverage. (2024, 28 October). Thailand’s quick service restaurant market is experiencing notable growth. https://www.aseanfnb.com/index.php?m=home&c=View&a=index&aid=116

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921

Bhandari, U., Neben, T., Chang, K., & Chua, W. Y. (2017). Effects of interface design factors on affective responses and quality evaluations in mobile applications. Computers in Human Behavior, 72, 525-534. https://doi.org/10.1016/j.chb.2017.02.044

Cannon, C. D., & Rucker, D. D. (2022). Motives underlying human agency: How self-efficacy versus self-enhancement affect consumer behavior. Current Opinion in Psychology, 46, 1-6. https://doi.org/10.1016/j.copsyc.2022.101335

Chen, Y. C., Shang, R. A., & Kao, C. Y. (2009). The effects of information overload on consumers' subjective state towards buying decision in the internet shopping environment. Electronic Commerce Research and Applications, 8(1), 48–58. https://doi.org/10.1016/j.elerap.2008.09.001

Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21-36. https://doi.org/10.1108/02635570710719034

Cheung, C. M., Sia, C. L., & Kuan, K. K. (2012). Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. Journal of the Association for Information Systems, 13(8), 618-635. https://doi.org/10.17705/1jais.00305

Chopdar, P. K., & Balakrishnan, J. (2020). Consumers' response to m-commerce applications: SOR approach. International Journal of Information Management, 53, 102106. https://doi.org/10.1016/j.ijinfomgt.2020.102106

Chopdar, P. K., & Paul, J. (2023). The impact of brand transparency of food delivery apps in interactive brand communication. Journal of Research in Interactive Marketing, 18(2), 238-256. https://doi.org/10.1108/jrim-12-2022-0368

Cyr, D., Head, M., & Larios, H. (2010). Colour appeal in website design within and across cultures: A multi-method evaluation. International Journal of Human-Computer Studies, 68(1-2), 1-21. https://doi.org/10.1016/j.ijhcs.2009.08.005

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

Euromonitor International. (2024). Consumer foodservice in Thailand. https://www.euromonitor.com/consumer-foodservice-in-thailand/report

Foroughi, B., Iranmanesh, M. and Hyun, S.S. (2019), Understanding the determinants of mobile banking continuance usage intention, Journal of Enterprise Information Management, 32(6), 1015-1033. https://doi.org/10.1108/JEIM-10-2018-0237

Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174-185. https://doi.org/10.1016/j.tourman.2015.05.007

Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the factors that influence travelers' adoption of information from online reviews. Journal of Travel Research, 53(1), 44-57. https://doi.org/10.1177/0047287513481274

Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). How online product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2), 217-232. https://doi.org/10.1016/j.jretai.2014.04.004

Ha, J., & Jang, S. S. (2012). The effects of dining atmospherics on behavioral intentions through quality perception. Journal of Services Marketing, 26(3), 204-215. https://doi.org/10.1108/08876041211224004

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. SAGE Publications. https://doi.org/10.1007/978-3-319-05542-8_15-1

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19, 139-151. https://doi.org/10.2753/MTP1069-6679190202

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8

Jiang, Z., & Benbasat, I. (2007). Research note—investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18(4), 454-470.

Kasikorn Research Center. (2024, 16 December). The Thai food and beverage business sector in 2025 is projected to expand by 4.6%, reaching a market value of 657,000 million baht. https://www.kasikornresearch.com/th/analysis/k-social-media/Pages/IAO111-Restaurant-Industry-FB-16-12-2024.aspx

Kim, H. (2024). Does Beauty Matter to Service Consumers? The Influence of Visual Appeal on Self-Service Technology (SST) Acceptance. International Journal of Human–Computer Interaction, 41(8), 5120–5136. https://doi.org/10.1080/10447318.2024.2357910

Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention. Journal of Research in Interactive Marketing, 7(1), 33-56. https://doi.org/10.1108/17505931311316734

Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223. https://doi.org/10.1287/isre.13.2.205.83

Lee, J., Sung, Y., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability, 11(11), 3141. https://doi.org/10.3390/su11113141

Lee, J., & Lim, H. (2023). Visual aesthetics and multisensory engagement in online food delivery services. International Journal of Retail & Distribution, 51(8), 975-990 https://doi.org/10.1108/ijrdm-09-2021-0451

Lin, P. M. C., Au, W. C., & Baum, T. (2023). Service quality of online food delivery mobile application: an examination of the spillover effects of mobile app satisfaction. International Journal of Contemporary Hospitality Management, 36(3), 906-926. https://doi.org/10.1108/ijchm-09-2022-1103

McLean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a mobile applications customer experience model (MACE)–Implications for retailers. Journal of Business Research, 85, 325–336. https://doi.org/10.1016/j.jbusres.2018.01.018

Mehrabian, A., & Russell, J. A. (1974). An Approach to Environmental Psychology. MIT Press.

Park, J.-P., & Chun, H. (2022). Effects of Electronic Word-of-Mouth Quality on Information Satisfaction and Purchase Intention among Consumer Reviews on Food Delivery Apps. Gwan’gwang Le’jeo Yeon’gu, 34(5), 347–364. https://doi.org/10.31336/jtlr.2022.5.34.5.347

Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143. https://doi.org/10.2307/25148720

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2

Schumacker, R.E. and Lomax, R.G. (2004). A Beginner’s Guide to Structural Equation Modeling (2nd ed.), Lawrence Erlbaum Associates, Mahwah.

Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310-1323. https://doi.org/10.1016/j.tourman.2010.12.011

Rakuten Insight. (2025, 7 January). 2024 Food Delivery Apps Landscape in Thailand. https://insight.rakuten.com/2024-food-delivery-apps-landscape-in-thailand/

Statista. (2024). Smartphone penetration rate in Thailand. https://www.statista.com

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

Tenenhaus, M., Vinzi, V., Chatelin, Y., & Lauro, C. (2005). PLS Path Modeling. Computational Statistics & Data Analysis, 48(1), 159-205. https://doi.org/10.1016/j.csda.2004.03.005

U.S. Department of Agriculture. (2024, 26 December). Food Service – Hotel Restaurant Institutional Annual Report, Thailand. https://www.fas.usda.gov/data/thailand-food-service-hotel-restaurant-institutional-annual

Wang, W., & Benbasat, I. (2007). Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems, 23(4), 217-246. https://doi.org/10.2753/MIS0742-1222230410

Wang, Y. J., Minor, M. S., & Wei, J. (2011). Aesthetics and the online shopping environment: Understanding consumer responses. Journal of Retailing, 87(1), 46-58. https://doi.org/10.1016/j.jretai.2010.09.002

Xu, D. J., Benbasat, I., & Cenfetelli, R. T. (2009). The Effect of Perceived Service Quality, Perceived Sacrifice and Perceived Service Outcome on Online Customer Loyalty. ICIS 2009 Proceedings, 175. https://aisel.aisnet.org/icis2009/175

Yogatama, A. N. (2023). The role of product information in e-commerce: a consumer-centric analysis in the marketing 5.0 era. Jurnal Ilmiah Bisnis Dan Ekonomi Asia, 17(3), 329–345. https://doi.org/10.32815/jibeka.v17i3.1912

Zhang, Z., Ye, Q., Law, R., & Li, Y. (2014). The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews. International Journal of Hospitality Management, 29(4), 694-700. https://doi.org/10.1016/j.ijhm.2010.02.002

Zou, P., & Liu, J. (2019). How nutrition information influences online food sales. Journal of the Academy of Marketing Science, 47(6), 1132–1150. https://doi.org/10.1007/S11747-019-00668-4

ดาวน์โหลด

เผยแพร่แล้ว

2025-08-13

รูปแบบการอ้างอิง

Wathanakom, N., & Saranrom, A. (2025). THE INFLUENCE OF PERCEIVED INFORMATION QUALITY, USER INTERFACE ATTRACTIVENESS AND SOCIAL PROOF OF QUICK SERVICE RESTAURANT APPLICATIONS ON DECISION CONFIDENCE AND PURCHASING BEHAVIOR. วารสารเครือข่ายส่งเสริมการวิจัยทางมนุษยศาสตร์และสังคมศาสตร์, 8(2), 61–85. สืบค้น จาก https://so06.tci-thaijo.org/index.php/hsrnj/article/view/284997

ฉบับ

ประเภทบทความ

บทความวิจัย