The impact of user perceptions of AR on purchase intention of location-based AR navigation systems

Jung, Timothy; Bae, Sanghyuk; Moorhouse, Natasha; Kwon, Ohbyung

doi:10.1016/j.jretconser.2021.102575

Cited by 37 publications

(23 citation statements)

References 146 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the technology-empowered experience, the fourth layer, technology goes beyond the supporting role in the second and third layers as it brings virtuality to the tourism and hospitality experience (Buhalis et al, 2019). New technologies integrate AR and VR to enhance real environments or recreate spaces (Buhalis and Karatay, 2022;Gursoy et al, 2022, Jung et al, 2021, Rauschnabel, Babin et al, 2022. Technology integrates virtual elements within the experience creation process as a prequisite part.…”

Section: Metaverse For Hospitalitymentioning

confidence: 99%

Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing

Buhalis

Lin

Leung

2022

IJCHM

235

117

View full text Add to dashboard Cite

Purpose Metaverse blends the physical and virtual worlds, revolutionizing how hospitality customers and hospitality organizations facilitate the co-creation of transformational experiences and values. This paper aims to explore the opportunities and challenges that Metaverse introduces for hospitality and tourism management and marketing as part of the customer experience and value co-creation process. This paper also discusses how the advent and development of Metaverse can potentially transform hospitality customer experience and value co-creation. Design/methodology/approach A comprehensive literature review was undertaken to explore conceptual developments on Metaverse and best practice examples from around the world. Findings Metaverse not only opens many exciting opportunities for hospitality and tourism but also poses some great challenges. Hospitality and tourism organizations need to use the Metaverse strategically to customize and co-create hybrid virtual and physical experiences, allowing consumers to engage with them and also with other customers before, during and after their visit. A range of research opportunities also emerge for the adoption and operationalization of Metaverse. Research limitations/implications This paper critically analyzes the early applications of Metaverse in hospitality and tourism as well as promotes future solutions for hospitality and tourism management and marketing. The conceptual model in this study can help different stakeholders better understand the flow, logic and potential of Metaverse in the hospitality and tourism industry. Originality/value The paper defines and conceptualizes the potential of Metaverse in hospitality customer experience and value co-creation. Besides putting forward a research agenda for further exploiting the full potential for both hospitality customers and hospitality organizations, this paper elucidates the impacts of Metaverse on hospitality management, rooted in the previous literature in value co-creation and technology-enhanced experience.

show abstract

Section: Metaverse For Hospitalitymentioning

confidence: 99%

Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing

Buhalis

Lin

Leung

2022

IJCHM

235

117

View full text Add to dashboard Cite

show abstract

“…With the proliferation of AR applications, the availability of more data collection methods and data analysis techniques will increase significantly. Thus, future research can investigate additional outcome variables and mediating variables obtained from the AR application systems in natural settings ( Pantano et al, 2017 ; Smink et al, 2020 ; Castillo and Bigne, 2021 ; Javornik et al, 2021 ; Poushneh, 2021 ; Qin et al, 2021a ; Tan et al, 2022 ) or measured via consumer neuroscience methods ( Jung et al, 2021 ; Pozharliev et al, 2021 ). For instance, except for the examination of the effects of AR on product purchase intention, WOM intention, recommendation intention, and personal data disclosure intention, future research can shed light on the effects of AR on actual purchase behavior, WOM behavior, recommendation behavior, personal data disclosure, post-purchase product satisfaction, customer retention, and product return rate ( Smink et al, 2019 ; Kowalczuk et al, 2021 ; Qin et al, 2021a ).…”

Section: Future Research Agendamentioning

confidence: 99%

“…With the fast-growing the application of AR in marketing, consumers using these applications, and products/services offered through these application, future research can delve deeper into the heterogenous effects of AR on consumers’ responses and behavior across consumer characteristics such as gender ( tom Dieck et al, 2018a ; Smink et al, 2019 ; Batat, 2021 ; Chen et al, 2021 ; Daassi and Debbabi, 2021 ; Javornik et al, 2021 ; Yuan et al, 2021 ), age groups (e.g., children, middle-aged people, and elder) ( Jung et al, 2015 ; Pantano et al, 2017 ; Plotkina and Saurel, 2019 ; Smink et al, 2019 ; Batat, 2021 ; Chiu et al, 2021 ; Daassi and Debbabi, 2021 ; Kowalczuk et al, 2021 ; Plotkina et al, 2021 ; Qin et al, 2021b ; Yuan et al, 2021 ), educational level ( He et al, 2018 ; Yuan et al, 2021 ), occupation ( Song et al, 2019 ), culture background ( Jung et al, 2015 , 2021 ; Rese et al, 2017 ; Rauschnabel, 2018 ; Jiang et al, 2019 ; Plotkina and Saurel, 2019 ; Jessen et al, 2020 ; Chen et al, 2021 ; Chiu et al, 2021 ; Javornik et al, 2021 ; Lim et al, 2021 ; Plotkina et al, 2021 ; Qin et al, 2021a ; Yuan et al, 2021 ), personality traits ( Tussyadiah et al, 2018 ; Park and Stangl, 2020 ; Uribe et al, 2021 ), cognitive style ( Fan et al, 2020 ), processing style ( Heller et al, 2019b ), innovativeness ( Huang and Liao, 2015 ; Huang, 2019 ; Smink et al, 2019 ; Yim and Park, 2019 ; Daassi and Debbabi, 2021 ), expertise regarding the products/services (e.g., novice vs. experienced) ( He et al, 2018 ; Jung et al, 2021 ), need for touch (e.g., high vs. low) ( Hilken et al, 2017 ; ...…”

Section: Future Research Agendamentioning

confidence: 99%

Augmented Reality Marketing: A Systematic Literature Review and an Agenda for Future Inquiry

Wang

2022

Front. Psychol.

View full text Add to dashboard Cite

Augmented reality (AR) is a potentially disruptive technology that enriches the consumer experience and transforms marketing. With the surging popularity of AR in marketing practice, academic efforts to investigate its effects on consumer experience, response, and behavior have increased significantly. To obtain an integrated and comprehensive view of the front-line in AR marketing research and identify the gaps for future research, we analyze the existing AR marketing literature through a systematic literature review. Using 99 journal articles selected from the Web of Science core collections, this research sheds light on the general characteristics such as publication year, publication outlet, research design, and research method. Moreover, this research also gains insight into the AR marketing relevant factors such as application area, application context, AR type, and theoretical lenses. The findings of the analyses reveal the state-of-the-art of scholarly publications on AR marketing research. First, the number of journal articles on AR marketing increased rapidly in the past few years, and the journals that published articles on AR marketing cover a wide range of disciplines. Second, the empirical studies in most literature adopted the quantitative research design and used survey or experiment methods. Third, the studies in more than half of the journal articles used mobile AR applications in various online contexts. Fourth, the Technology Acceptance Model (TAM) and the Stimulus-Organism-Response (S-O-R) framework are the two most widely used theoretical lenses used in the literature. After that, the major application areas of AR in marketing are retail, tourism, and advertising. To identify the focal themes discussed in the three application areas, this research summarizes the studies by the outcome variables. Specifically, the outcome variables have five categories: technology-related, product-related, brand-related, tourist destination-related, and advertisement-related. Finally, this research proposes the agenda for future academic efforts in AR marketing.

show abstract

“…[64] Multi levels analysis (17) [25], [37], [44], [45], [46], [48], [49], [51], [55], [56], [59], [62], [65], [66], [67], [68], [69] Limited to one region (16) [30], [32], [33], [37], [38], [46], [47], [48], [49], [54], [56], [58], [59], [63], [68], [70] Tailored to a specific AR product (14) [45], [46], [47], [52], [53], [54], [57], [61], [62], [64], [65], [67], [68], [70] Small Sample Size (10) [30], [32], [33],…”

Section: Limitationsmentioning

confidence: 99%

“…References Not consider other factors (21) [25], [26], [30], [31], [32], [38], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57] Convenience sampling (19) [32], [35], [37], [40], [43], [45], [46], [50], [52], [53], [55], [57], [58], [59], [60], [61], [62], [63],…”

Section: Limitationsmentioning

confidence: 99%

A systematic review of structural equation modeling in augmented reality applications

Nguyen

2022

IJEECS

View full text Add to dashboard Cite

The purpose of this study is to present a comprehensive review of the use of structural equation modeling (SEM) in augmented reality (AR) studies in the context of the COVID-19 pandemic. IEEE Xplore Scopus, Wiley Online Library, Emerald Insight, and ScienceDirect are the main five data sources for data collection from Jan 2020 to May 2021. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach was used to conduct the analysis. At the final stage, 53 relevant publications were included for analysis. Variables such as the number of participants in the study, original or derived hypothesized model, latent variables, direct/indirect contact with users, country, limitation/suggestion, and keywords were extracted. The results showed that a variety of external factors were used to construct the SEM models rather than using the parsimonious ones. The reports showed a fair balance between the direct and indirect methods to contact participants. Despite the COVID-19 pandemic, few publications addressed the issue of data collection and evaluation methods, whereas video demonstrations of the augmented reality (AR) apps were utilized. The current work influences new AR researchers who are searching for a theory-based research model in their studies.

show abstract

The impact of user perceptions of AR on purchase intention of location-based AR navigation systems

Cited by 37 publications

References 146 publications

Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing

Metaverse as a driver for customer experience and value co-creation: implications for hospitality and tourism management and marketing

Augmented Reality Marketing: A Systematic Literature Review and an Agenda for Future Inquiry

A systematic review of structural equation modeling in augmented reality applications

Contact Info

Product

Resources

About