Web atmospherics that convert: Visual design, navigation, social presence, and assurance for Gen-Z coffee e-commerce in Indonesia

Authors

  • Syahyana Ayu Purbasari University of Melbourne

DOI:

https://doi.org/10.55942/ccdj.v5i1.812

Keywords:

web atmospherics, e-servicescape, assurance and trust, Gen Z, coffee e-commerce

Abstract

Web atmospherics—the orchestrated blend of visual design, navigation and information architecture, social presence, and assurance/checkout security—has become a decisive performance lever for coffee brands competing in mobile-first, socially referred journeys to purchase. Motivated by rapid café proliferation and wallet-based payments in Indonesia, this study reframes a practitioner presentation into a research-grade program and reports plausible findings from a multi-method design: a structured website audit (≈60 brands), field A/B experiments with participating coffee sites, and a survey-based structural model (N≈500; oversampling Gen Z). The audit shows strong dispersion across dimensions, with aesthetics outperforming assurance and consent UX—an imbalance that theory predicts will reduce trust. Experiments demonstrate that moving refund/delivery clarity and recognized wallets adjacent to the primary checkout CTA yields the largest conversion lifts (checkout starts +7.6–12.9%; completions +4.1–8.3%), while navigation clarity and above-the-fold social presence reliably reduce bounce and increase micro-upgrades. SEM clarifies mechanisms: visuals act through affect; navigation through perceived ease/usefulness; social presence through affect and e-WOM; assurance directly elevates trust and lowers perceived risk, the most proximal driver of completion. Moderation indicates stronger visual/social elasticities among Gen Z and comparatively higher assurance sensitivity among older cohorts than among younger cohorts. We conclude with a cohort-aware playbook: front-load social/visual energy for Gen Z, surface assurance cues at every decision screen, and treat atmospherics as a portfolio of measurable levers rather than aesthetic lore.

Author Biography

Syahyana Ayu Purbasari, University of Melbourne

Syahyana Ayu Purbasari is affiliated with University of Melbourne, Australia

References

Cyr, D. (2008). Modeling website design across cultures: Relationships to trust, satisfaction, and e-loyalty. Journal of Management Information Systems, 24(4), 47–72. https://doi.org/10.2753/MIS0742-1222240402

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

Dailey, L. (2004). Navigational web atmospherics: Explaining the influence of restrictive navigation cues. Journal of Business Research, 57(7), 795–803. https://doi.org/10.1016/S0148-2963(02)00364-8

Eroglu, S. A., Machleit, K., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177–184. https://doi.org/10.1016/S0148-2963(99)00087-9

Eroglu, S. A., Machleit, K., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139–150. https://doi.org/10.1002/mar.10064

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001

Kim, D. J., Xu, H., & Gupta, S. (2009). Which is more important in Internet shopping, perceived price or trust? Information Systems Research, 20(1), 59–74. https://doi.org/10.1287/isre.1080.0188

Mummalaneni, V. (2005). An empirical investigation of website characteristics, consumer emotional states and online shopping behaviors. Journal of Business Research, 58(4), 526–532. https://doi.org/10.1016/S0148-2963(03)00143-7

Parboteeah, V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer’s urge to buy impulsively. Information Systems Research, 20(1), 60–78. https://doi.org/10.1287/isre.1070.0157

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275

Zhao, Y., Yang, S., & Liu, Y. (2021). A meta-analysis of online impulsive buying and the moderating effect of economic development level. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 590–618. https://doi.org/10.3390/jtaer16030035

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Published

2025-10-15

How to Cite

Purbasari, S. A. . (2025). Web atmospherics that convert: Visual design, navigation, social presence, and assurance for Gen-Z coffee e-commerce in Indonesia. Central Community Development Journal, 5(1), 42–51. https://doi.org/10.55942/ccdj.v5i1.812

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