Exploring the dual routes in influencing sales and adoption in augmented reality retailing: a mixed approach of SEM and FsQCA

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Wydane w:Internet Research vol. 35, no. 1 (2025), p. 178-210
1. autor: Xu, Xiaoyu
Kolejni autorzy: Jia, Qingdan, Syed Muhammad Usman Tayyab
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Emerald Group Publishing Limited
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022 |a 1066-2243 
022 |a 2054-5657 
022 |a 1051-4805 
024 7 |a 10.1108/INTR-06-2023-0438  |2 doi 
035 |a 3157058913 
045 2 |b d20250101  |b d20251231 
084 |a 46159  |2 nlm 
100 1 |a Xu, Xiaoyu  |u School of Economics and Finance, Xi'an Jiaotong University, Xi'an, China 
245 1 |a Exploring the dual routes in influencing sales and adoption in augmented reality retailing: a mixed approach of SEM and FsQCA 
260 |b Emerald Group Publishing Limited  |c 2025 
513 |a Journal Article 
520 3 |a PurposeThis study investigates augmented reality (AR) retailing and attempts to develop a profound understanding of consumer decision-making processes in AR-enabled e-retailing.Design/methodology/approachThe study is grounded in rich informational cues and information processing mechanisms by incorporating the elaboration likelihood model (ELM) and trust transfer theory. This study employs a mixed analytic method that incorporates structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to provide a complete picture of individual information process mechanisms in AR retailing under the tenet of ELM.FindingsThe SEM analysis results confirm the relationships between the central and peripheral route factors, information processing outcomes and eventual behavioral intentions. Moreover, all configurations revealed by the fsQCA include both central and peripheral factors. Hence, the dual routes proposed in the ELM are verified by using two distinct analytical approaches.Originality/valueThis study is pioneering in validating and contextualizing ELM theory in AR retailing. In addition, this study offers a methodological paradigm by demonstrating the application of multi-analysis in exploring consumers’ information process mechanisms in AR retailing, which offers a holistic and comprehensive view to understand consumers’ decision-making mechanisms. 
653 |a Augmented reality 
653 |a Behavior 
653 |a Data processing 
653 |a Shopping 
653 |a Fuzzy sets 
653 |a Decision making 
653 |a Qualitative analysis 
653 |a Consumers 
653 |a Technology Acceptance Model 
653 |a Information processing 
653 |a Electronic commerce 
653 |a Retailing 
653 |a Reality 
653 |a Retail industry 
653 |a Sales 
653 |a Comparative analysis 
653 |a Elaboration 
653 |a Structural equation modeling 
653 |a Cues 
653 |a Methodological approaches 
653 |a Augmentation 
653 |a Merchandise Information 
653 |a Physical Environment 
653 |a Literature Reviews 
653 |a Structural Equation Models 
653 |a Influence of Technology 
653 |a Researchers 
653 |a Database Management Systems 
700 1 |a Jia, Qingdan  |u School of Economics and Finance, Xi'an Jiaotong University, Xi'an, China 
700 1 |a Syed Muhammad Usman Tayyab  |u Desautels Faculty of Management, McGill University, Montreal, Canada 
773 0 |t Internet Research  |g vol. 35, no. 1 (2025), p. 178-210 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3157058913/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3157058913/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3157058913/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch