A Study on Factors Impacting Consumers' Intention to Use On-demand Food Delivery Applications in Bangkok, Thailand

2018 ◽  
Author(s):  
Dinesh Elango ◽  
Kitikorn Dowpiset ◽  
Jirachaya Chantawaranurak
2021 ◽  
Vol 7 (1) ◽  
pp. 13
Author(s):  
Nur Shahrulliza Muhammad ◽  
Muhamad Raziq Mohd Razak ◽  
Shahira Ariffin ◽  
Hasman Abdul Manan ◽  
Fairus Hamdan

This study is aimed at investigating the determinants of intention-to-use online food delivery (OFD) service among corporate workers in Klang Valley where the market is made up largely of time starved people that are enduring difficulties in balancing working time and rest time or leisure time at their convenience. The research focuses on workers ranging from managers, executives, to junior level employees as well as interns in different corporate companies located in Kuala Lumpur to cover a wider range of audience with different background of working experiences that contribute to the high growth of corporate world.  The respondents were 139 of corporate workers. Data processed and interpreted using the SPSS 23.0 in generating the mean and standard deviation of seven respective factors. The result shows that the respondents had moderate intention to use online food delivery service in helping them managing their time. The apps are trusted, provide reliable information and it is statistically proved that the online food delivery improved their quality of life.


The Winners ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rano Kartono ◽  
Jane Kartika Tjahjadi

Currently, mobile applications are rapidly developing. One of the most frequently used services by society is online food delivery services. The research intended to scrutinize aspects affecting intentions to use online food delivery services during extraordinary event, like Coronavirus (COVID-19) outbreak in Jabodetabek (Jakarta metropolitan) area. The research adopted TRA (Theory of Reasoned Action) that integrated perceived trustworthiness, perceived relative advantage, perceived risk and attitude toward using to give insights on factors affecting consumers’ intention when using online food delivery services. The data collection was conducted through quantitative, non-probability, purposive sampling method using online questionnaires, that were spread out to all people who have experienced in using online food delivery services at least once, during COVID-19 outbreak (Feb-May 2020). In total, there were valid 127 questionnaires used to analyze the data variables using PLS-SEM method through SMART-PLS 2.0 M3 software. The results find that perceived trustworthiness, perceived relative advantage and perceived risk positively affect consumers’ attitudes toward using. Perceived trustworthiness and attitude toward using positively affects intention to use online food delivery services during Coronavirus outbreak in Jabodetabek area. However, perceived risk negatively affects intention to use online food delivery services during Coronavirus (COVID-19) outbreak in Jabodetabek area.


2021 ◽  
Author(s):  
Ulrich Marcus ◽  
Daniel Schmidt ◽  
Susanne Barbara Schink ◽  
Uwe Koppe

Abstract Data on PrEP use in Germany is not collected systematically. We aim to estimate the number of PrEP users among men having sex with men (MSM) and describe PrEP use in Germany from 2017 through 2020. Moreover, we analyse whether PrEP needs expressed in 2017 could have been met by the expansion of PrEP until 2020. We estimated the number of PrEP users using drug prescription data, information on on-demand/intermittent PrEP use from online surveys, and number of online profiles indicating PrEP use, based on varying assumptions about the proportion of on-demand/intermittent and daily PrEP users and on the average number of PrEP pills used. Factors associated with intention to use PrEP were identified by a multivariable logistic regression analysis among respondents to an online survey. We estimated the number of MSM in need for PrEP in 2017 based on four groups defined among the survey respondents, combining respondents intending to use PrEP and respondents indicating substantial sexual risks. We used data and assumptions on self-selection biases to estimate a range for the absolute size of these groups among gay men in Germany. Depending on assumptions, we estimated a total of 15,600 to 21,600 PrEP users in Germany by the end of June 2020, which corresponds to between 40 and 55% of men with the intention to use PrEP in 2017. Distributions of PrEP users from different data sources and PrEP prescriptions by federal state in Germany were highly correlated, except for major deviations for Berlin with a higher proportion of prescriptions in Berlin compared to the proportion of survey participants using PrEP. A correlation between the regional distribution of intention to use PrEP in 11/2017 and actual PrEP use by 06/2020 suggested an unequal regional distribution of unsatisfied needs. The number of men with unmet PrEP needs ranged between 27,500 and 93,000 in 06/2020. PrEP use in Germany has increased considerably between 10/2017 and 06/2020, but large regional inequalities persist. Results suggested that PrEP is not fully accessible and that there is a need to expand services and encourage demand.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arianna Seghezzi ◽  
Riccardo Mangiaracina

PurposeThis paper focusses on on-demand food delivery (ODFD), i.e. the delivery of freshly prepared meals to customers' homes, enabled by the use of online platforms. In ODFD, a key process is represented by last-mile deliveries (LMDs): they directly affect customers (the delivery price influences their purchase intention), riders (the compensation drives their willingness to perform deliveries) and platforms (deliveries are very expensive). In this context, this work aims to investigate the economic performances of ODFD LMDs.Design/methodology/approachThis study adopts a multi-method threefold process. First, it develops a model that – after the generation of customers' demand and the assignment of deliveries to available riders – identifies incomes and costs faced by an ODFD operator. Second, the model is applied to a base case in Milan (Italy). Third, sensitivity analyses are performed (on daily demand and riders' salary).FindingsThe analyses allow – besides the identification of significant values associated to ODFD profitability – to draw general insights about delivery price (e.g. free delivery is not economically sustainable), daily demand (e.g. greater demand values do not only improve positive results but also worsen negative ones) and fixed/variable wage mix (e.g. increasing the variable wage enhances the profitability for platforms).Originality/valueOn the academic side, this word enhances extant literature about ODFD, proposing a model – with multidisciplinary implications – to strategically investigate profitability conditions of LMDs. On the managerial side, it provides support for (logistics/marketing) ODFD practitioners since it allows to evaluate the potential impact of significant decisions on profitability.


2021 ◽  
pp. 089124162199467
Author(s):  
Peter Timko ◽  
Rianne van Melik

On-demand delivery platforms have become a common feature of urban economies across the globe. Noted for their hyper-outsourced, “lean” business models and reliance on independent contractors, these companies evade traditional employer obligations while still controlling workers through complex algorithmic management techniques. Using food delivery platform Deliveroo as a case-study, this paper investigates the diverse array of practices that on-demand workers carry out in order to enact this new platform labor arrangement in different spatial contexts. One of us conducted an auto-ethnographic project, working as a Deliveroo Rider in Nijmegen and Berlin for a period of nine months. Additionally, we interviewed 13 fellow platform workers. The findings reveal the motley, contingent, and conditional ways in which on-demand labor comes together on the ground. The paper concludes with discussing the uneven distribution of these practices across locations and social groups, and the sometimes contradictory impacts they have on the structure of platform labor.


2021 ◽  
Vol 29 (2) ◽  
pp. 18-28
Author(s):  
Intan Muliana Rhamdhani

Online food delivery (OFD) is an innovative and simple way of purchasing food online. This study aims to examine consumer purchase intentions to use OFD Go-food services during the Covid-19 Pandemic. This study uses a survey of 100 consumers who have the Go-jek application in Kebumen to fill out the questionnaire. The sample technique was taken by using purposive sampling technique, then the data were processed using SPSS version 25.0 and analyzed using path analysis. The findings of this study indicate that the convenience motivation and perceived ease of use are proven unable to directly influence consumer intention to use OFD. Meanwhile, convenience motivation and perceived ease of used have an effect on perceived usefulness. Other results indicate that perceived usefulness is able to act as a mediating variable between convenience motivation, perceived ease of use on consumer purchase intentions using OFD    


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