Search results

In modern e-commerce and omnichannel management, consumers can utilize visual information delivered by augmented reality interactive technology (ARIT) to relate to products and view them worn on themselves. Accordingly, ARIT is increasingly common in online retail environments because this dynamicproduct imagery decreases the gap between online and offline shopping. On the basis of construal-level theory (CLT), this study not only examines the system characteristics that impact the perceived ease of use and usefulness of ARIT but also explores how these system characteristics can successfully affect online consumers to adopt ARIT in retail settings.

In this study, ARIT is applied mainly in an online clothes fitting context. By conducting a task-based laboratory study, 344 valid samples were collected. Structure equation modeling (SEM) was employed for further analysis.

Navigation structure, graphic style and information content were identified as the three system characteristics that affect perceived ease of use and usefulness of ARIT. Of the three characteristics, information content has the greatest impact on perceived ease of use and usefulness of ARIT. The study also found that navigation structure, graphic style and information content all shape ARIT system characteristics, and this explains and predicts the perceived usefulness and perceived ease of use effect better than any original single system characteristic.

Interactive marketing research indicates that the influence of immediately visualizing consumer–product matching effects creates excitement, arouses emotions and triggers curiosity to explore additional product purchase experiences. This study contributes to the present body of knowledge of the concept of ARIT systems. This is a pioneer research that uses CLT to act as a crucial psychological mechanism that dominates online fitting and apparel appraisal for consumers using ARIT. This study serves as a reference for designing and employing multisensory ARIT applications in interactive marketing to drive online sales.

Augmented reality (AR) has emerged as a new interactive technology, swiftly transforming the field of marketing. Driven by its rapid uptake in marketing practices, academic research on AR has proliferated. This study aims to offer a holistic view of the past, present and future of augmented reality marketing (ARM) scholarship by analyzing its current and evolving research profile as well as its social and conceptual structures to inspire further research.

This study enriches the ARM scholarship by integrating a quantitative bibliometric analysis with a chronological-thematic review and a qualitative content analysis to develop a more comprehensive understanding of this novel area and suggest future research courses.

The bibliometric analysis reveals the key performance indicators as well as the social and conceptual structure of the ARM research field. The chronological-thematic review exhibits the advancement of ARM research over time and forecasts the emerging trends for the domain. Finally, the content analysis of recent articles reveals the current research hotspots and provides future research directions.

The database limits the selection of literature, as the information in databases such as Scopus is updated regularly, resulting in alterations in the number of articles and citations.

AR developers and brand managers may use this study’s findings to understand the current ARM landscape better and make strategic decisions based on AR adoption and consumption patterns.

This study is singular in using a mixed methods approach by integrating the findings from bibliometric and content analyses for more reliable results and to offer a holistic perspective of the ARM sector, thereby significantly advancing the field of technology-led marketing.