Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis

Purpose: The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effe...

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Main Authors: Ma, Bohao, Limierta, Jessica, Teo, Chee-Chong, Wong, Yiik Diew
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178206
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author Ma, Bohao
Limierta, Jessica
Teo, Chee-Chong
Wong, Yiik Diew
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Ma, Bohao
Limierta, Jessica
Teo, Chee-Chong
Wong, Yiik Diew
author_sort Ma, Bohao
collection NTU
description Purpose: The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effect magnitudes and nonlinear patterns of service quality have been overlooked in the current literature. Design/methodology/approach: The quantitative Kano method is adopted. A Kano questionnaire was first developed by synthesizing and operationalizing existing evidence on OFD service qualities. The questionnaire solicited consumers’ evaluations of 21 OFD service attributes, and it was distributed to an online panel in Singapore. With 580 valid responses, the functions that quantitatively depict effects of each attribute on consumer’s satisfaction were subsequently derived. Findings: The results reveal that among Singaporean consumers, food quality, reliability of delivery, responsiveness of customer support, ease-of-use of digital interfaces and promotions are pivotal attributes contributing to above-average satisfaction improvement across all performance levels. Meanwhile, delivery riders’ attitudes and real-time tracking functions emerge as substantial contributors to satisfaction at high-performance levels. Practical implications: The findings provide crucial insights for OFD practitioners in Singapore in resource prioritization and service optimization. This study demonstrated the importance of streamlining customer support services and focusing on the utilitarian aspects of OFD services. Moreover, these results can be employed in advanced service improvement procedures, providing a roadmap for future OFD service enhancements. Originality/value: This study pioneers the development of a quantitative quality evaluation model in the OFD context. With the established quantitative Kano model, the study addresses the omission of effect magnitudes and nonlinear patterns of service quality. It highlights the transition from a binary “does it affect satisfaction” to a more nuanced “how much does it affect satisfaction” approach, offering a robust understanding of consumer’s satisfaction dynamics.
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spelling ntu-10356/1782062024-06-05T06:47:50Z Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis Ma, Bohao Limierta, Jessica Teo, Chee-Chong Wong, Yiik Diew School of Civil and Environmental Engineering Business and Management Engineering Online food delivery Consumer research Purpose: The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effect magnitudes and nonlinear patterns of service quality have been overlooked in the current literature. Design/methodology/approach: The quantitative Kano method is adopted. A Kano questionnaire was first developed by synthesizing and operationalizing existing evidence on OFD service qualities. The questionnaire solicited consumers’ evaluations of 21 OFD service attributes, and it was distributed to an online panel in Singapore. With 580 valid responses, the functions that quantitatively depict effects of each attribute on consumer’s satisfaction were subsequently derived. Findings: The results reveal that among Singaporean consumers, food quality, reliability of delivery, responsiveness of customer support, ease-of-use of digital interfaces and promotions are pivotal attributes contributing to above-average satisfaction improvement across all performance levels. Meanwhile, delivery riders’ attitudes and real-time tracking functions emerge as substantial contributors to satisfaction at high-performance levels. Practical implications: The findings provide crucial insights for OFD practitioners in Singapore in resource prioritization and service optimization. This study demonstrated the importance of streamlining customer support services and focusing on the utilitarian aspects of OFD services. Moreover, these results can be employed in advanced service improvement procedures, providing a roadmap for future OFD service enhancements. Originality/value: This study pioneers the development of a quantitative quality evaluation model in the OFD context. With the established quantitative Kano model, the study addresses the omission of effect magnitudes and nonlinear patterns of service quality. It highlights the transition from a binary “does it affect satisfaction” to a more nuanced “how much does it affect satisfaction” approach, offering a robust understanding of consumer’s satisfaction dynamics. Nanyang Technological University This study is supported by the Transport Research Centre at Nanyang Technological University 2024-06-05T06:47:49Z 2024-06-05T06:47:49Z 2024 Journal Article Ma, B., Limierta, J., Teo, C. & Wong, Y. D. (2024). Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis. British Food Journal, 126(2), 834-863. https://dx.doi.org/10.1108/BFJ-06-2023-0503 0007-070X https://hdl.handle.net/10356/178206 10.1108/BFJ-06-2023-0503 2-s2.0-85181669947 2 126 834 863 en British Food Journal © 2023 Emerald Publishing Limited. All rights reserved.
spellingShingle Business and Management
Engineering
Online food delivery
Consumer research
Ma, Bohao
Limierta, Jessica
Teo, Chee-Chong
Wong, Yiik Diew
Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title_full Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title_fullStr Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title_full_unstemmed Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title_short Unveiling consumers' nonlinear evaluation of service performances in online food delivery: a quantitative Kano analysis
title_sort unveiling consumers nonlinear evaluation of service performances in online food delivery a quantitative kano analysis
topic Business and Management
Engineering
Online food delivery
Consumer research
url https://hdl.handle.net/10356/178206
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