Online Food Ordering and Delivery Applications: An Empirical Study of the Factors Affecting Intention to Reuse

Ganou, Evangelia; Karavasilis, George; Vrana, Vasiliki; Kehris, Evangelos

doi:10.1007/978-3-030-92491-1_57

Cited by 3 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the delivery experience was relatively more important than their emotions when evaluating the robots, the service, and delivery experience. This is inline with the findings that the quality of the service, rather than the perceived benefits of the service, is critical for consumers' intention to reuse food ordering and delivery service (Ganou et al, 2022).…”

Section: Discussionsupporting

confidence: 79%

First Time Use of an Autonomous Food Delivery Robot: Effects of Affect and Delivery Scenarios

Malcein,

Lee

2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

The objective of the study was to examine the effect of users’ emotions and delivery outcomes from sidewalk autonomous delivery robots on user experience and perception of the robots. Participants’ emotions were induced by specific clips from movies and were measured by a self-report emotion scale. Two delivery scenarios were designed to mimic two extreme delivery outcomes where the delivered food was either on time and as expected or late and not as expected. Results showed that delivery outcomes led to significantly different user experiences, whereas the induced emotions did not. In line with prior research, the current study suggests that the quality of the food delivery service is more important than user emotions in prompting users to want to use the service again and rating the robots more favorably.

show abstract

Section: Discussionsupporting

confidence: 79%

First Time Use of an Autonomous Food Delivery Robot: Effects of Affect and Delivery Scenarios

Malcein,

Lee

2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…The major themes covered by the researchers include 'assessing the shift in the buying patterns (Laguna et al, 2020)', 'surging OFODEs demand vis-à-vis environmental health (Wui Lun & Quoquab, 2023)', 'impacts of online food delivery on environment (Li et al, 2023)', 'change in the family values vis a vis food habits (Bracale and Vaccaro, 2020;Senthil et al 2020)', 'online food delivery technology and family food traditions (Pandey et al, 2022;Aiswarya & Ramasundaram, 2023)', 'online food delivery services and Halal supply chain principles (Samori et al, 2023)', 'determinants of the usage of food ordering apps (Idris et al, 2023;Bacao and Zhou, 2020)', 'future challenges of marketing online-to-offline (Rosario, 2023)', 'factors affecting online food delivery service quality (Koay et al, 2022)', and 'factors affecting customer satisfaction and loyalty towards online food delivery (Ganapathi and Abu-Shanab, 2020;Prasetyo et al, 2021)'. Some researchers emphasized on specific aspects like 'services features of OFODEs' portals and apps (Ganou et al, 2022;Pal et al, 2021)', 'food quality (Lau and Ng, 2019;Dsouza and Sharma 2021)', 'timely delivery (Lau and Ng, 2019;Dsouza and Sharma, 2021)', 'secure payment methods (Koay et al, 2022)', and 'perceived trust of service ' etc. The quality of food generally means taste, freshness, and cleanliness (Ganapathi and Abu-Shanab, 2020), however, any suspicion about an infection free food delivery makes the whole process questionable .…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Alternatives like online-to-offline food service delivery coupled with a customer centric approach has all the potential to build a strong reputation and thus, enhanced customer loyalty (Rosario, 2023). Ganou et al (2022) also argued that benefits of such service platforms convince customers to try whereas their features like 'ease of use' convince them to reuse.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Modelling the operational maturity challenges faced by online food ordering and delivery enterprises during Covid-19 lockdown in Oman: a fuzzy interpretive structural modelling approach

Abbas,

Fatima,

Akaak

et al. 2023

JGOSS

View full text Add to dashboard Cite

Purpose This research aims to ascertain the various operational maturity challenges faced by the online food ordering and delivery enterprises (OFODE), their nature and their interactive relationships. In particular, this paper aims to (a) identify the most relevant operational maturity challenges faced by the OFODE during the COVID-19 lockdown in Oman, (b) explore and establish any likely structural relationship among these challenges and (c) put them into logical clusters. Design/methodology/approach Experts helped to reduce the 18 initially identified maturity challenges to 13 most pressing ones. Mutual relationships, dominance of interactions and their classifications were explored using fuzzy interpretive structural modeling (FISM) and fuzzy MICMAC analysis. Findings The study of situation-specific operational maturity challenges convinced the authors to propose a distinct FISM model that depicts the relationship among these challenges. Keeping commissions and fees reasonable emerges as the challenge which all other challenges seemingly culminate into. One of the most important situation-specific challenges (i.e. customer confidence about infection free delivery) emerges as a linkage challenge which aggravates as well as is aggravated by certain challenges. Research limitations/implications Besides enriching literature, the proposed model has implications for practitioners particularly when the similar lethal waves are experienced anywhere. The number of respondents, subjective approach, specific context as well as the geographical area coverage are the key limitations. Originality/value To the best of the authors’ knowledge, this study is the first known scientific effort which attempts to model the operational maturity challenges faced by the OFODE during COVID-19 lockdown period. The authors used the FISM modeling approach to forge these interrelated challenges into a structural model.

show abstract

Revealing repeat use intention of online food delivery services in Indonesia: what really counts?

Wahid,

Indarti,

Manik

et al. 2024

Journal of Foodservice Business Research

View full text Add to dashboard Cite

Online Food Ordering and Delivery Applications: An Empirical Study of the Factors Affecting Intention to Reuse

Cited by 3 publications

References 42 publications

First Time Use of an Autonomous Food Delivery Robot: Effects of Affect and Delivery Scenarios

First Time Use of an Autonomous Food Delivery Robot: Effects of Affect and Delivery Scenarios

Modelling the operational maturity challenges faced by online food ordering and delivery enterprises during Covid-19 lockdown in Oman: a fuzzy interpretive structural modelling approach

Revealing repeat use intention of online food delivery services in Indonesia: what really counts?

Contact Info

Product

Resources

About