The influence of flow experience in the augmented reality context on psychological ownership

Yuan, Chunlin; Wang, Shuman; Yu, Xiaolei; Kim, Kyung Hoon; Moon, Hakil

doi:10.1080/02650487.2020.1869387

Cited by 59 publications

(51 citation statements)

References 69 publications

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“…Specifically, AR integrates digital information or objects into consumers’ perceptions of the physical objects and environments, thus providing consumers with rich information about products or services and allowing them to experience products and services easily. Specifically, AR not only improves online experiences and engagement but creates novel and fantastic on-site experiences ( Javornik, 2016 ; Yuan et al, 2021 ).…”

Section: Augmented Reality and Augmented Reality Marketingmentioning

confidence: 99%

“…Specifically, it overcomes the limitations of online shopping by allowing prospects to try on products, such as makeup ( Smink et al, 2019 ; Hsu et al, 2021 ; Javornik et al, 2021 ), eyewear ( Pantano et al, 2017 ; Yim et al, 2017 ; Yim and Park, 2019 ), clothing ( Huang and Liu, 2014 ; Huang and Liao, 2017 ; Plotkina and Saurel, 2019 ), shoes ( Hilken et al, 2018 ; Plotkina et al, 2021 ), and furniture ( Rauschnabel et al, 2019 ; Kowalczuk et al, 2021 ; Qin et al, 2021b ) virtually without having to interact physically with them. Major online retailing platforms, such as Amazon ( McLean and Wilson, 2019 ), JingDong ( Fan et al, 2020 ), Alibaba ( Fan et al, 2020 ), and eBay ( Banerjee and Longstreet, 2016 ), as well as leading brands, such as Tiffany & Co. ( Whang et al, 2021 ), L’Oréal ( Hilken et al, 2017 ), Sephora ( Smink et al, 2019 ), Nike ( Hilken et al, 2018 ), Converse ( Whang et al, 2021 ), Zara ( Yuan et al, 2021 ), IKEA ( McLean and Wilson, 2019 ; Qin et al, 2021b ), Mini ( Carmigniani et al, 2011 ), and Lego ( Hinsch et al, 2020 ), have devoted lots of efforts to introduce various forms of AR. They strive to enhance consumers’ vicarious experience of physical products in online settings and make it more immersive, interactive, informative, enjoyable, and satisfactory ( Yim et al, 2017 ).…”

Section: Augmented Reality and Augmented Reality Marketingmentioning

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%

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

Wang

2022

Front. Psychol.

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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.

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Section: Augmented Reality and Augmented Reality Marketingmentioning

confidence: 99%

Section: Augmented Reality and Augmented Reality Marketingmentioning

confidence: 99%

Section: Future Research Agendamentioning

confidence: 99%

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

Wang

2022

Front. Psychol.

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“…This study is limited in that the app was perceived through a video that demonstrated the AR-based SST. It is recommended that future studies be conducted in physical stores with customers using the technology in real shopping experiences (Yuan et al, 2021). This will reduce any bias in the results, given that the study used active Internet users, who might be more accepting of new technologies.…”

Section: Ijrdm 497mentioning

confidence: 99%

A model of adoption of AR-based self-service technologies: a two country comparison

Bigné

2021

IJRDM

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PurposeThis paper proposes a model that extends the technology acceptance model (TAM) by identifying factors that influence consumers' acceptance of augmented reality (AR) self-service technologies (AR-based SSTs) in the retail sector, resulting in the Augmented Reality in Retail Model (ARiR Model).Design/methodology/approachThis study is based on an online questionnaire responded to by 284 makeup-using women from Nicaragua and the USA. It is based on an AR mobile app used to shop in retail stores. Partial least squares-structural equation modelling was used to validate the ARiR model and test the hypotheses.FindingsAesthetics and navigation are significant predictors of perceived usefulness and perceived ease of use (PEOU), and self-efficacy also explains perceived ease of use. Technology readiness and the need for personal interaction were not found to be influencing factors. A cross-cultural comparison indicated that both countries have similar overall attitudes towards AR-based SSTs.Research limitations/implicationsThis paper provides insights into the perceived value of, and motives for customer acceptance of, AR-based SSTs, which can serve as guidelines for their future implementation. Furthermore, it validates and confirms the application of the proposed ARiR model for technology acceptance in both developed and developing countries.Practical implicationsThe paper provides new insights for retailers on the implementation of AR at the point of sale.Originality/valueThe model extends the original TAM to AR and introduces five new constructs: need for personal interaction, aesthetics, navigation, self-efficacy and technology readiness. It was tested in both a developing and a developed country.

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“…Extant studies have referred to website aesthetics as web appearance (Peng et al, 2017), visual appeal (Zheng et al, 2020), perceived attractiveness (Longstreet et al, 2021), design aesthetics (Chaouali et al, 2019), and perceived aesthetics (Yuan et al, 2021). Useable, intuitive, and transparent websites with a logical architecture and easy navigation design enable users to perform tasks effectively.…”

Section: Perceived Aesthetics and Purchase Intentionmentioning

confidence: 99%

Factors influencing smartphone based online shopping: an empirical study of young Women shoppers

Shukla

Misra

2021

APJML

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PurposeThe study examines how young working women are motivated by online shopping. The study tests the relationship between Internet self-efficacy (ISE), website aesthetics, and purchase intention through perceived benefit. An investigation of the impact of perceived risk on purchase intention is also carried out.Design/methodology/approachThe paper carried out a quantitative study based on a purposive sample of 180 working women from the Delhi-NCR region of India and used Structural Equation Modelling (SEM) to test hypotheses based on the extended TAM model.FindingsPerceived benefit, website aesthetics, and ISE positively and significantly impact working women's purchase intention. The study also finds an indirect relationship between ISE and purchase intention through perceived benefit. Perceived risk has a negative and insignificant influence on working women's purchase intention for online shopping.Practical implicationsThe study finding reflects that perceived website aesthetics fill the gap between offline and online environments. ISE makes shopping easy and increases the shopper's confidence. A mobile-optimized website with ease of navigation would increase women shoppers' conversion rates on mobile devices, leading to a favourable impact on revenue generation for online retailers.Originality/valueDespite the vast literature on constructs derived from the TAM model, very few studies have researched young women consumers from an emerging economy perspective. The novelty of this research lies in identifying the factors that influence young working women's online shopping intention using smartphone through the glance of ISE and perceived aesthetics in the Indian context.

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The influence of flow experience in the augmented reality context on psychological ownership

Cited by 59 publications

References 69 publications

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

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

A model of adoption of AR-based self-service technologies: a two country comparison

Factors influencing smartphone based online shopping: an empirical study of young Women shoppers

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