A capacitated multi pickup online food delivery problem with time windows: a branch-and-cut algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-021-04145-6
Abstract: Online food delivery companies, nowadays, allow a customer to place an order for a combination of dishes from one or more restaurants. To meet a customer’s demand, the company then arranges for the pickups from… read more here.
Keywords: branch cut; delivery; food delivery; time windows ... See more keywords
To survive or to thrive? China’s luxury hotel restaurants entering O2O food delivery platforms amid the COVID-19 crisis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Hospitality Management"
DOI: 10.1016/j.ijhm.2020.102855
Abstract: COVID-19 presents luxury hotels with an unenviable task of maneuvering to secure survival. One of the contingency measures of China’s five-star hotels is to salvage revenues by entering online-to-offline (O2O) food delivery platforms. However, both… read more here.
Keywords: delivery; luxury; o2o food; food delivery ... See more keywords
An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Hospitality Management"
DOI: 10.1016/j.ijhm.2021.102943
Abstract: Abstract The study employed two theories, the technology acceptance model (TAM) and the Attention-Interest-Desire-Action (AIDA) model, to provide an understanding of the process of consumers accepting an on-demand food-delivery app, and to establish the effect… read more here.
Keywords: aida; model; food delivery; marketing communication ... See more keywords
The relationships between traffic enforcement, personal norms and aggressive driving behaviors among normal e-bike riders and food delivery e-bike riders
Sign Up to like & getrecommendations! Published in 2021 at "Transport Policy"
DOI: 10.1016/j.tranpol.2021.09.014
Abstract: Compared to other cyclists, food delivery drivers travel under specific time limits, and traffic regulations for electric bikes (e-bikes) are relatively lax compared with those for motor vehicles in China. Therefore, the present study conducts… read more here.
Keywords: bike riders; aggressive driving; delivery; food delivery ... See more keywords
Food promoted on an online food delivery platform in a Brazilian metropolis during the COVID-19 pandemic: a longitudinal analysis.
Sign Up to like & getrecommendations! Published in 2022 at "Public health nutrition"
DOI: 10.1017/s1368980022000489
Abstract: OBJECTIVE To analyse food advertised on an online food delivery (OFD) platform during 16 weeks of the COVID-19 pandemic in Brazil. DESIGN Longitudinal study. We randomly selected foods advertised on the OFD app's home page,… read more here.
Keywords: online food; food; platform; food delivery ... See more keywords
Psychosocial work environment and mental wellbeing of food delivery platform workers in Helsinki, Finland: A qualitative study
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Qualitative Studies on Health and Well-being"
DOI: 10.1080/17482631.2023.2173336
Abstract: ABSTRACT Purpose Food delivery platform work is a relatively new phenomenon in Finland and has not been studied widely hence limited knowledge on its work environment. The aim of this study was to explore and… read more here.
Keywords: food delivery; work environment; delivery platform; work ... See more keywords
Online food delivery services and behavioural intention – a test of an integrated TAM and TPB framework
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DOI: 10.1108/bfj-05-2020-0418
Abstract: PurposeThis research leverages an integrated framework that uses the technology acceptance model (TAM) and the theory of planned behaviour (TPB) to analyse the main drivers of users' intention to use food delivery apps. The purpose… read more here.
Keywords: tpb; online food; tam tpb; food ... See more keywords
Factors affecting online food delivery service in Bangladesh: an empirical study
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DOI: 10.1108/bfj-05-2020-0449
Abstract: PurposeThe core idea of this paper was to empirically evaluate the factors affecting the choices of consumers while ordering food online. The goal was to explore consumer behavior in the emerging industry of online food… read more here.
Keywords: online food; food; delivery; food delivery ... See more keywords
Adoption of mobile food ordering apps for O2O food delivery services during the COVID-19 outbreak
Sign Up to like & getrecommendations! Published in 2021 at "British Food Journal"
DOI: 10.1108/bfj-09-2020-0781
Abstract: PurposeThe purpose of this paper is to develop a model to examine how different technological and cognitive cues related to mobile food ordering applications (MFOAs) impact diners' intentions to use MFOAs continuously. The moderating role… read more here.
Keywords: food; mobile food; food ordering; food delivery ... See more keywords
Profit and Satisfaction Aware Order Assignment for Online Food Delivery Systems Exploiting Water Wave Optimization
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DOI: 10.1109/access.2022.3187692
Abstract: Online Food delivery, a specialized application of mobile crowdsourcing, has accelerated its popularity due to rushed urban lifestyle in recent times. The food delivery order assignment to workers that maximizes the service qualities, such as… read more here.
Keywords: food delivery; satisfaction; order; delivery ... See more keywords
Recommending-and-Grabbing: A Crowdsourcing-Based Order Allocation Pattern for On-Demand Food Delivery
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3209722
Abstract: With the development of intelligent transportation technologies, on-demand food delivery has become a prevalent logistics service that brings convenience to our daily life. However, problems such as inappropriate assignment and delayed delivery still exist in… read more here.
Keywords: food delivery; order allocation; delivery; demand food ... See more keywords