Evaluation and Selection of Online Food Delivery (OFD) Companies in Perlis Using Fuzzy Analytical Hierarchy Process (AHP

Authors

  • Zurina Kasim Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Nur Anis Liyana Muhamad Rosli Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch

DOI:

https://doi.org/10.24191/jcrinn.v7i2.302

Keywords:

online food delivery, fuzzy AHP, MCDM, Multicriteria decision making

Abstract

The COVID-19 pandemic has accelerated the global expansion of online food delivery (OFD) services. Food delivery services are comparable to courier services in that the ordered food is delivered to customers by workers or rider delivery companies. As the number of OFD companies continues to rise, the selection of OFD companies, such as GrabFood, Foodpanda, Halo Delivery, and others, is extremely competitive. Customers must choose carefully which OFD companies offer the best services. The objectives of this research are to investigate the evaluation criteria for OFD companies, then evaluate the OFD companies based on the evaluation criteria and rank the best OFD companies that provide the best services to customers in Perlis based on certain criteria. As a result, this study proposes a solution to this problem by developing a technique from multi criteria decision making (MCDM) known as the Fuzzy Analytical Hierarchy Process (FAHP) to determine the relative importance of criteria used in ranking OFD services. This study’s findings indicate that Foodpanda is the most preferred food delivery service, followed by Grabfood and Halo Delivery. The most crucial main criteria is the economy, with discounts and offers as the priority sub-criteria. The second most important criterion is service quality, and the last is technology.

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References

Ajjipura Shankar, H.U, Kodipalya Nanjappa, U.K, Alsulami, M.D, Prasannakumara, B.C. (2022). A fuzzy AHP-fuzzy TOPSIS urged baseline aid for execution amendment of an online food delivery affability. Mathematics 2022,10,2930. https://doi.org/10.3390/math10162930

ArkansasDemocrat Gazette, (2020).Delivery services a concern for eateries. https://www.arkansasonline.com/news/2020/jun/10/delivery-services-a-concern-for-eateries/?business

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247.

Das, J., (2018). Consumer perception towards online food ordering and delivery services: An empirical study. Journal of Management, 5(5), 155-163. http://www.iaeme.com

Ganapathi, P., & Abu-Shanab, E. A. (2020). Customer satisfaction with online food ordering portals in Qatar. International Journal of E-services Mobile Application. 12(1), 57-79

Gonzalez, R., Gasco, J., & Llopis, J. (2022). Information and communication technologies in food services and restaurants:A systematic review. International Journal of Contemporary Hospitality Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJCHM-05-2021-0624

Gunden, N., Morosan, C., & DeFranco, A. L. (2020). Consumers’ persuasion in online food delivery systems .Journal of Hospitality and Tourism Technology, 11(3),495–509. https://doi.org/10.1108/JHTT-10-2019-0126

Mat Nayan. N., & Hasaan. M. K. A. (2020). Customer Satisfaction Evaluation for Online Food Service Delivery System in Malaysia. Journal of Information System and Technology Management.5(19), 123-136. DOI: 10.35631/JISTM.5190010

Nguyen, N. B. T., Lin, G.-H., & Dang, T.-T. (2021). Fuzzy multi-criteria decision-making approach for online food delivery (OFD) companies evaluation and selection: A case study in Vietnam. Processes, 9(8), 1274. https://doi.org/10.3390/pr9081274

Peetawan. W. (2019). Using AHP to quantify decision factors for selecting a food delivery service provider. Panyapiwat Journal, 11(3), 138-150. https://so05.tci-thaijo.org/index.php/pimjournal/article/view/232441

Saad, A.T. (2020). Factors affecting online food delivery service in Bangladesh: An empirical study. British Food Journal. 123(2), 535-550. DOI: 10.1108/BFJ-05-2020-0449

Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York

Saaty, T.L. (1994). How to make a decision: the analytic hierarchy process. Interface,24(6),19- 43.

Saaty, T. L. (2006). Rank from comparisons and from ratings in the analytic

hierarchy/network processes. European Journal of Operational Research, 168(2), 557-570.

Sun, C.C. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst. Appl. 2010, 37, 7745–7754

Zhu, K. J., Jing, Y., & Chang, D. Y. (1999). A discussion on extent analysis method and

applications of fuzzy AHP. European journal of operational research, 116(2), 450-456.

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Published

2022-09-30

How to Cite

Kasim, Z., & Muhamad Rosli, N. A. L. (2022). Evaluation and Selection of Online Food Delivery (OFD) Companies in Perlis Using Fuzzy Analytical Hierarchy Process (AHP. Journal of Computing Research and Innovation, 7(2), 175–185. https://doi.org/10.24191/jcrinn.v7i2.302

Issue

Section

General Computing