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Abstract: Background and Purpose: E-commerce has reshaped consumer behaviour by offering unparalleled convenience, variety and accessibility, while creating new opportunities for businesses to grow revenues. Despite its prominence, there remains a need for parsimonious models that explain online purchase intention in terms of core consumer perceptions. This study aims to develop and test a structural equation model (SEM) in which consumer perceived benefits and attitudes toward the web drive intention to purchase online. Methods: An online survey was administered to 190 Slovenian consumers. Questionnaire items were drawn from established scales measuring (a) perceived benefits of online shopping, (b) attitude toward the web, and (c) online purchase intention. Internal consistency was assessed via Cronbach’s alpha. SEM was then applied using IBM SPSS AMOS to evaluate both measurement and structural components of the model, testing hypotheses that perceived benefits influence both attitude and intention, and that attitude further mediates intention. Results: The survey instrument demonstrated excellent reliability (Cronbach’s α = 0.92). The three-construct SEM explained 74 % of the variance in online purchase intention. Fit indices indicated very good model performance (NFI = 0.969, NNFI = 0.970, CFI = 0.979, IFI = 0.979). All hypothesized paths were significant, confirming that higher perceived benefits enhance both positive web attitudes and purchase intentions, and that web attitudes further bolster intention. Conclusion: This streamlined SEM offers a robust and well-fitting explanation of consumer online purchase intentions. E-commerce platforms can leverage these insights by emphasizing the specific benefits consumers value and cultivating positive web experiences to drive sales. The model offers both practical guidance for online retailers and a foundation for future research, such as incorporating environmental consciousness, to refine our understanding of sustainable e-commerce adoption.
Keywords: attitude toward web, perceived benefits, online purchase intention, SEM, consumer behaviour, e-commerce
Published in DKUM: 14.11.2025; Views: 0; Downloads: 0
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Abstract: This paper investigates emerging technological trends in web commerce and examines user perceptions through a pilot survey. Key innovations include IoT, AI, ML, chatbots, social and voice commerce, as well as immersive technologies like AR and VR. These tools enhance personalization, automate services, and support better consumer decision-making. The pilot study, based on an online questionnaire, explores user behaviour, expectations, and attitudes toward these developments. Results show that while users are familiar with technologies like chatbots and personalization, awareness of AR and VR remains low. Concerns about security and data privacy significantly influence user trust. The findings highlight the need for seamless technological integration, increased user education, and transparent communication to build trust and improve the digital shopping experience.
Keywords: web commerce, e-commerce trends, internet of things (IoT), artificial intelligence (AI), machine learning (ML), chatbots, augmented reality (AR), virtual reality (VR), voice commerce, user perception, digital transformation, data privacy
Published in DKUM: 29.08.2025; Views: 0; Downloads: 3
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Keywords: new economy, enterprises, corporations, electronic commerce, interactions, virtual reality, retail sale, competition, customer, globalization, information technology, computer networks, internet, World Wide Web, HTML, Hypertext Markup Language, client/server, models, application, business strategy
Published in DKUM: 01.06.2012; Views: 2499; Downloads: 59
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