How safe is it to shop? Estimating the amount of space needed to safely social distance in various retail environments

Ntounis, Nikos; Mumford, Christine L.; Loroño-Leturiondo, Maria; Parker, Catherine; Still, Keith

doi:10.1016/j.ssci.2020.104985

Cited by 21 publications

(19 citation statements)

References 28 publications

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“…Therefore, the finding confirms and supports H3 (b = 0.18, p = 0.00), H4 (b = 0.34, p = 0.00), H5 (b = 0.40, p = 0.00), and H6 (b = 0.70, p = 0.05). The result signifiedthat perceived usefulness has a significant and positive impact on user intention to use mobile payment.This finding is in agreement with the previous studies [23,67,68,[70][71][72], where it could be explained that the higher the use of mobile payment system, the greater the user intention is to use it.…”

Section: Structural Modelsupporting

confidence: 93%

“…The degree that consumers accept that online transactions by internet payment will provide valuable information, convenience in comparison to others, and speed up the shortcut purchase process [67]. In mobile payment systems, different studies demonstrated that a user realizes the highest level of usefulness when the consumer intends to use m-payment service [23,[67][68][69][70][71][72]. In the adoption of mobile payment technology, perceived usefulness is the most widely studied factor.…”

Section: Perceived Usefulnessmentioning

confidence: 99%

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Influence of Social Distancing Behavior and Cross-Cultural Motivation on Consumers’ Attitude to Using M-Payment Services

et al. 2021

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With the sustainable economy and the development of innovative technology, China is anticipated to have a large number of mobile payment (m-payment) users due to cultural influences and population size. This payment culture leads to a significant motivation to adopt m-payment services, which can stimulate new users from other groups. The role of cultural motivation is the most important factor in the m-payment context. This paper empirically examines the impact of cross-cultural motivation in the context of the practicing of social distancing behavior due to COVID-19 and the mobile payment (m-payment) context. We develop a conceptual model to validate user intention to use mobile payment systems during the COVID-19 crisis. Data were surveyed from 409 international students in China, and the model is validated using the AMOS structural equation modeling approach. Similar to the results of previous studies based on the adoption of mobile payment, this study also confirms the hypothesis testing. The key and robust result is that, due to cultural motivation and social distancing behavior, international students respond swiftly to the use of mobile payment services during COVID-19. Subsequently, perceived usefulness and awareness influence behavior intention to use mobile payment services. The findings of this study suggest that motivational characteristics, including the awareness of efficiency and the social distancing behavior due to COVID-19, play an important role in the adoption of mobile payment. As a result, the empirical results of this research provide useful information to stakeholders so that they can enhance m-payment services strategies and implement these successfully by considering various factors.

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Section: Structural Modelsupporting

confidence: 93%

Section: Perceived Usefulnessmentioning

confidence: 99%

Influence of Social Distancing Behavior and Cross-Cultural Motivation on Consumers’ Attitude to Using M-Payment Services

et al. 2021

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“…However, the current research has considered a similar approach as the studies conducted by Gössling and Scott [14] and Ntounis and Mumford [103], who proved that the tourist shopping as well as food places and services have been affected by COVID−19, but food service has been seriously affected due to limited liquidity, small profit margins [14], and COVID transmission through food [104]. In non-shopping malls, such as a night markets, the situation is more vulnerable, especially in Malaysia, because most of the vendors are categorised in the B40 (bottom 40% of people), where their incomes are under 3000 MYR (700 US Dollars) per month.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Vendors’ Attitudes and Perceptions towards International Tourists in the Malaysia Night Market: Does the COVID-19 Outbreak Matter?

et al. 2021

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Although the negative economic impacts of COVID-19 are undiscovered, the tourism industry is recognized as one of the most vulnerable sectors. Considering tourism’s contribution to Malaysia’s GDP, this study aims to examine vendors’ attitudes and perceptions towards international tourists in night markets after the emergence of COVID-19 and the impacts of propagation power of COVID-19 on vendors’ perceptions in Malaysia. As large numbers of informal workers lost 60% of their income worldwide due to the pandemic, a lack of research is observed on vendors’ attitudes after the pandemic, especially in Southeast Asia. The study model was derived on the basis of the revised social exchange theory (SET). A questionnaire survey was conducted among local vendors in Malaysia using a multistage probability sampling method. Findings revealed that place attachment has a significant effect on positive perception but not negative perception towards international tourists’ receptiveness. Results indicate that positive perceptions towards international tourists significantly and positively mediate the relationship among place attachment, economic gain, and involvement with tourist receptiveness. Moreover, the research concluded that vendors still have positive attitudes towards international tourists’ receptiveness due to economic gain and their place attachment and involvement levels during the COVID-19 pandemic.

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“…Yet, confusion about what steps have to be taken is hindering the efforts of retail traders, and there is an immediate necessity to comprehend how distancing can be secure. Ntounis, Mumford et al [ 33 ] estimated the amount of space needed to safely social distance in various retail environments when there are people present. The proposed method can work as a step forward in understanding the very practical problem of capacity, which can allow retail spaces to operate safely and minimise the risk of virus transmission.…”

Section: Discussionmentioning

confidence: 99%

“…In conjunction with the retail sector, the latest research of [ 32 ] argues that the willingness of shoppers to return to shopping depends on their feeling of safety, which is strongly related to measures like providing hand sanitiser, limiting the number of people in stores and monitoring social distancing. With the aim to solve the issue of social distancing [ 33 ], exploit theoretical knowledge in different areas of research such as crowd science [ 34 ] or operational research of ergonomics [ 35 ]. With this theoretical foundation, the researchers developed an extensive method to determine the minimum amount of space an individual needs for social distancing in closed and open commercial spaces.…”

Section: Literature Reviewmentioning

confidence: 99%

Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach

Furxhi

Kia

Shannon

et al. 2021

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Background From February 2020, both urban and rural Ireland witnessed the rapid proliferation of the COVID-19 disease throughout its counties. During this period, the national COVID-19 responses included stay-at-home directives issued by the state, subject to varying levels of enforcement. Methods In this paper, we present a new method to assess and rank the causes of Ireland COVID-19 deaths as it relates to mobility activities within each county provided by Google while taking into consideration the epidemiological confirmed positive cases reported per county. We used a network structure and rank propagation modelling approach using Personalised PageRank to reveal the importance of each mobility category linked to cases and deaths. Then a novel feature-selection method using relative prominent factors finds important features related to each county's death. Finally, we clustered the counties based on features selected with the network results using a customised network clustering algorithm for the research problem. Findings Our analysis reveals that the most important mobility trend categories that exhibit the strongest association to COVID-19 cases and deaths include retail and recreation and workplaces . This is the first time a network structure and rank propagation modelling approach has been used to link COVID-19 data to mobility patterns. The infection determinants landscape illustrated by the network results aligns soundly with county socio-economic and demographic features. The novel feature selection and clustering method presented clusters useful to policymakers, managers of the health sector, politicians and even sociologists. Finally, each county has a different impact on the national total.

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How safe is it to shop? Estimating the amount of space needed to safely social distance in various retail environments

Cited by 21 publications

References 28 publications

Influence of Social Distancing Behavior and Cross-Cultural Motivation on Consumers’ Attitude to Using M-Payment Services

Influence of Social Distancing Behavior and Cross-Cultural Motivation on Consumers’ Attitude to Using M-Payment Services

Vendors’ Attitudes and Perceptions towards International Tourists in the Malaysia Night Market: Does the COVID-19 Outbreak Matter?

Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach

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