2021
DOI: 10.1007/978-981-33-4134-0_6
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How COVID-19 Could Accelerate the Adoption of New Retail Technologies and Enhance the (E-)Servicescape

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Cited by 19 publications
(21 citation statements)
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“…However, it must be observed that the study data were collected in the midst of the COVID-19 pandemic, during which a notable number of customers have perceived in-store shopping as vector of infection and took corresponding precautions that might disrupt or mitigate Autotelic NFT (e.g., disinfecting their hands; Szymkowiak et al, 2021 ). Additionally, customers’ product-touching habits themselves have changed ( Willems et al, 2021 ). Hence, we believe that customers’ fear of contracting COVID-19 might have resulted in lower levels of Autotelic NFT, and possibly also lower levels of Instrumental NFT.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, it must be observed that the study data were collected in the midst of the COVID-19 pandemic, during which a notable number of customers have perceived in-store shopping as vector of infection and took corresponding precautions that might disrupt or mitigate Autotelic NFT (e.g., disinfecting their hands; Szymkowiak et al, 2021 ). Additionally, customers’ product-touching habits themselves have changed ( Willems et al, 2021 ). Hence, we believe that customers’ fear of contracting COVID-19 might have resulted in lower levels of Autotelic NFT, and possibly also lower levels of Instrumental NFT.…”
Section: Discussionmentioning
confidence: 99%
“… 1 This study was preregistered ( https://osf.io/b4ejm ). Due to current events, namely, the possible impact of the COVID-19 pandemic on customers’ spending behavior ( Di Crosta et al, 2021 ) and touch preferences ( Willems et al, 2021 ), the current study deviates from the preregistration (e.g., in the present work we do not specifically test the relationships between the Big Five traits and Autotelic and Instrumental NFT). However, all preregistered variables are included in the manuscript, and the corresponding zero-order bivariate correlations mentioned in the preregistration can be found in Table 2 .…”
mentioning
confidence: 97%
“…Additional Examination of Purchase Channels. Our review shows that online shopping intentions have been extensively researched while new, emerging technologies such as virtual reality, augmented reality, and social commerce-but also traditional in-store shopping environments-are still under-researched Moreover, the COVID-19 pandemic has created a "new normal" with changes in customers' shopping behaviors (e.g., staying away from crowded spaces [80] or changing touch habits in stores to minimize the risk of getting infected [80,81]). As an example, people prefer to use e-wallets over cash [80].…”
Section: Research Agenda and Managerial Implications 41 Research Agendamentioning
confidence: 99%
“…Consumers are now more inclined to routinely work and shop remotely, but the level of adoption of different users varies, spurring marketers to try to improve the adoption of online platforms (Kirk and Rifkin, 2020); however, this can also create more opportunities for marketers to use advanced marketing techniques by deploying interactive technologies to Understanding the accessibility of retail MB improve the accessibility of the technology through addressing consumer accessibility constraints (Caboni and Hagberg, 2019;Nabity-Grover et al, 2020). The use of augmented reality (AR) apps in different industries and mobile banking has significantly increased during the pandemic as people are restricted to their homes and have had to adopt these online apps to maintain social distancing (Hassounah et al, 2020;Willems et al, 2021). The use of mobile apps for shopping and banking have become habits for many consumers, and though there are some accessibility issues with these apps, the COVID-19 pandemic continues to compel societies to use technologies that limit exposure to possible infection (Hassounah et al, 2020;Willems et al, 2021).…”
Section: Theoretical Backgroundmentioning
confidence: 99%