Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory

Su, Diep Ngoc; Nguyen, Nguyen An Ngoc; Nguyen, Ly Ngoc Thi; Nguyen-Phuoc, Duy Quy

doi:10.1080/19368623.2022.2020199

Cited by 57 publications

(42 citation statements)

References 164 publications

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“…Indeed, responsible service personnel are well-equipped to address inquiries about the use of mobile travel apps. The meaningful findings are consistent with forgoing service quality studies [29][30][31].…”

Section: Confirmatory Factor Analysissupporting

confidence: 89%

“…Preceding literature has established a significant relationship between service quality and customer satisfaction [29]. Similarly, service quality has a positive direct and indirect effect on satisfaction and behaviour intentions [30][31]. System quality depends upon the elasticity, consistency, accuracy, online response time, and easiness to use of an information system [32].…”

Section: Service Quality System Quality and Information Qualitymentioning

confidence: 99%

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Mobile Travel Apps Engagement: Measuring Tourists’ Perception

Imtiaz

Suki

2022

Int. J. Interact. Mob. Technol.

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Mobile travel apps have revolutionised the way people book flights, hotels, and excursions, as well as how travel firms contact clients. This study examines tourists’ perception of mobile travel apps engagement in Pakistan. A field intercept survey was distributed to 500 respondents approached at tourism sites with a high flow of tourists in Northern Pakistan. Data were analyzed using exploratory factor analysis (EFA) via the Statistical Package for Social Sciences (SPSS) version 23 and conﬁrmatory factor analysis (CFA) the Partial Least Square-Structural Equation Modeling (PLS-SEM) approach using Smart-PLS 3.0 software. The EFA analysis by using the principal component method of extraction and the varimax method of rotation yielded five factors. Respondents heavily emphasize item TS2 “I am very satisfied with the mobile travel apps” of tourist satisfaction factor. Likewise, this item emerged as the most dominant in the CFA analysis, followed by item TS3 "I am happy with the mobile travel apps", and item TS4 "I am satisfied with the way mobile travel app organizes the trip". The findings are vital to advancing extant mobile travel apps engagement research, while also guiding their developers to better design mobile travel apps to boost tourists’ trust and satisfaction. Direction for further research is furnished.

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Section: Confirmatory Factor Analysissupporting

confidence: 89%

Section: Service Quality System Quality and Information Qualitymentioning

confidence: 99%

Mobile Travel Apps Engagement: Measuring Tourists’ Perception

Imtiaz

Suki

2022

Int. J. Interact. Mob. Technol.

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“…However, this is also a limitation, as, by definition, any repeat user of an MDA will no longer be naive. After creating an account and ordering, it is likely that food outlets and menu items presented to the user will be optimised based on their previous orders and other information provided on sign-up [ 40 , 50 , 51 ]. Over time, these will be much more significant factors for the potential consumption and therefore health impacts of these services than what they show to a new user.…”

Section: Discussionmentioning

confidence: 99%

Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand

et al. 2022

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Access to unhealthy commodities is a key factor determining consumption, and therefore influences the prevalence of non-communicable diseases. Recently, there has been an increase in the availability of food ‘on-demand’ via meal delivery apps (MDAs). However, the public health and equity impacts of this shift are not yet well understood. This study focused on three MDAs in New Zealand and aimed to answer (1) what is the health profile of the foods being offered on-demand, (2) how many food outlets are available and does this differ by physical access or neighbourhood demographics and (3) does the health profile of foods offered differ by physical access or neighbourhood demographics? A dataset was created by sampling a set of street addresses across a range of demographic variables, and recording the menu items and number of available outlets offered to each address. Machine learning was utilised to evaluate the healthiness of menu items, and we examined if healthiness and the number of available outlets varied by neighbourhood demographics. Over 75% of menu items offered by all MDAs were unhealthy and approximately 30% of all menu items across the three MDAs scored at the lowest level of healthiness. Statistically significant differences by demographics were identified in one of the three MDAs in this study, which suggested that the proportion of unhealthy foods offered was highest in areas with the greatest socioeconomic deprivation and those with a higher proportion of Māori population. Policy and regulatory approaches need to adapt to this novel mode of access to unhealthy foods, to mitigate public health consequences and the effects on population groups already more vulnerable to non-communicable diseases.

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“…Platform interaction, such as rating and feedback, forums and groups, recommendations and referrals, and interactivity, has been the focus of previous platform success studies [19]. Interaction between online and offline channels had a detrimental influence on brand engagement, but a non-significant beneficial impact on high brand involvement [20]. According to the data, customer trust is positively correlated with TAM variables (perceived ease of use and perceived usefulness), M-SEQUAL components (interface quality, interaction quality, and information quality), and personalization [21].…”

Section: E-service Quality and E-trustmentioning

confidence: 99%

Untitled

2022

IJOSSAHR

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Under the pressure of e-commerce, the delivery service is a fast-growing industry. In the long history of the postal sector, 2019 was a defining moment. As the sector's traffic, revenue, business models, and infrastructure continued to shift beyond recognition, trends that had been developing gradually for decades gained traction. The global economy has been reshaped by the fight against the COVID-19 epidemic. Governments took extreme measures in reaction to the fast increase in reported instances. In 2020, the pandemic had an unprecedented impact on the global economy, global trade, and cross-border supply networks, with a level of contraction not seen since World War II. ii. At the same time, because postal services have remained to work during most global lockdowns, their importance to people has grown. In addition, in several countries, ecommerce sales have surged, thus boosting demand for postal services. This paper determined Delone and McLean's Information system success model to measure the effect of system quality, e-trust on the reuse intention of the website-based delivery service in Mongolia. Data were collected by surveying 150 customers who had experience, using SPSS 21.0 and AMOS 20.0 statistic package program. The statistical results supported all four proposed hypotheses. The study confirmed that electronic service quality of system quality were significant predictors of e-trust.

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Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory

Cited by 57 publications

References 164 publications

Mobile Travel Apps Engagement: Measuring Tourists’ Perception

Mobile Travel Apps Engagement: Measuring Tourists’ Perception

Food Outlet Access and the Healthiness of Food Available ‘On-Demand’ via Meal Delivery Apps in New Zealand

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