International Journal of Hospitality and Tourism Systems

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Analyzing Online Food Delivery Industries using Pythagorean Fuzzy Relation and Composition


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1 Associate Professor, Department of Hotel Management, Christ (Deemed to be University), Bangalore, Karnataka, India
     

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Analyzing Online Food DeFood and beverages constitute a significant portion of the family expenditure, which motivates the food delivery companies in striving hard to meet the customer needs through their dynamic food delivery apps. The online food ordering system is one of the most profitable marketing strategies for restaurant businesses. The face of the restaurant industry has shifted from the traditional dine-in culture to takeaways, online ordering, and home deliveries. Digital technology and social media have a significant role in ensuring the efficiency and popularity of a food delivery app. The four essential factors for a food delivery company to satisfy the needs of the consumers in day to day life are choice of restaurants, speed of delivery, payment option and quality of service. The objective of this study is to discern and analyse these four essential factors adopted by the leading four food delivery companies and evaluate the perceptions of the consumers. The best online food delivering company is identified using Pythagorean Fuzzy Relation (PFR)and composition. The analysis concludes that Zomato food application is the best in consumer’s perception.The outcome of the survey is made more efficient by adopting a mathematical approach.livery Industries using Pythagorean Fuzzy Relation and Composition.

Keywords

Choice of Restaurants, Payment Option, Pythagorean Fuzzy Relation, Speed of Delivery, Quality of Device
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  • Bhasin, H. (2020, July 3). SWOT analysis of Swiggy. Marketing91. Retrieved from https://www.marketing91.com/swot-analysis-of-swiggy/

  • Bureau, F. E. (2019, October 11). Online food delivery may touch $12.53 billion by 2023. The Financial Express. Retrieved from https://www.financialexpress.com/industry/online-food-delivery-may-touch-12-53-billion-by-2023/1732353/

  • Das, J. (2018). Consumer perception towards’ onlne food ordering and delivery services: An empirical study. Journal of Management (JOM), 5(5), 155-163. Retrieved from http://www.iaeme.com/MasterAdmin/UploadFolder/JOM_05_05_015/JOM_05_05_015.pdf

  • Deepanker (2019, July 18). 8 best food delivery apps to order food online in India. TechloMedia. Retrieved from https://techlomedia.in/top-apps/best-food-delivery-a

  • Ejegwa, P. A. (2019). Pythagorean fuzzy set and its application in career placements based on academic performance using max–MIN–max composition. Complex & Intelligent Systems, 5(2), 165-175. doi:https://doi.org/10.1007/s40747-019-0091-6

  • Feng, F., Fujita, H., Ali, M. I., Yager, R. R., & Liu, X. (2018). Another view on generalised intuitionistic fuzzy soft sets and related multiattribute decision making methods. IEEE Transactions on Fuzzy Systems, 27(3), 474-488. doi:https://doi.org/10.1109/tfuzz.2018.2860967

  • Gao, H., & Wei, G. (2018). Multiple attribute decision making based on interval-valued Pythagorean uncertain linguistic aggregation operators. International Journal of Knowledge-based and Intelligent Engineering Systems, 22(1), 59-81. doi:https://doi.org/10.3233/kes-180375

  • Hatim, S. M., Mohamad Zamani, N. A., Abdul Latif, L. M., Kardri, M. A., Ahmad, N., Kamaruddin, N., & Hussain, A. (2019). E-food cart: An online food ordering service. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(4), 203-207. Retrieved from https://www.ijitee.org/wp-content/uploads/papers/v8i4s/DS2861028419.pdf

  • Khan, M. S., Abdullah, S., Ali, A., & Amin, F. (2018). Pythagorean fuzzy prioritised aggregation operators and their application to multi-attribute group decision making. Granular Computing, 4(2), 249-263. doi:https://doi.org/10.1007/s41066-018-0093-6

  • Kaew, P. (2020, March 19). Advantages and disadvantages of 4 delivery applications. Medium. Retrieved from https://medium.com/@prakaikaew/advantages-and-disadvantages-of-4-delivery-applications-18531a415635

  • Kumari, V. K. (2019). An impact of customer behaviour towards online food services. International Journal of Recent Technology and Engineering, 8(1), 497-499. doi:https://doi.org/10.35940/ijrte.d1083.1284s319

  • Kwong, G. S., Soo-Ryue, N. G., Shiun-Yi, W., & Lily, C. (2017). Outsourcing to online food delivery services: Perspective of F&B business owners. Journal of Internet Banking and Commerce, 22(2), 1-13. Retrieved from http://www.icommercecentral.com/open-access/out sourcing-to-online-food-delivery-services-perspective-of-fb-business-owners.pdf

  • Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability, 11(11), 3141. doi:https://doi.org/10.3390/su11113141

  • Liang, D., & Xu, Z. (2017). The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets. Applied Soft Computing, 60, 167-179. doi:https://doi.org/10.1016/j.asoc.2017.06.034

  • Liu, Z., Liu, P., Liu, W., & Pang, J. (2017). Pythagorean uncertain linguistic partitioned Bonferroni mean operators and their application in multi-attribute decision making. Journal of Intelligent & Fuzzy Systems, 32(3), 2779-2790. doi:https://doi.org/10.3233/jifs-16920

  • Peng, X. (2018). New similarity measure and distance measure for Pythagorean fuzzy set. Complex & Intelligent Systems, 5(2), 101-111. doi:https://doi.org/10.1007/s40747-018-0084-x

  • Rahman, K., Abdullah, S., Ahmed, R., & Ullah, M. (2017). Pythagorean fuzzy Einstein weighted geometric aggregation operator and their application to multiple attribute group decision making. Journal of Intelligent & Fuzzy Systems, 33(1), 635-647. doi:https://doi.org/10.3233/jifs-16797

  • Rahman, H. U., Ashraf, M., & Abrar, M. (2019). A review of the usable food delivery apps. International Journal of Engineering Research and Technology, V8(12). doi:https://doi.org/10.17577/ijertv8is120052

  • Roopana. (2018, August 10). Zomato Gold features for adjunct benefits. Blog. Retrieved from https://trioangle.com/blog/zomato-gold-features-for-adjunct-benefits/

  • Vinaik, A., Goel, R., Sahai, S., & Garg, V. (2019). The study of interest of consumers in mobile food ordering apps. International Journal of Recent Technology and Engineering (IJRTE), 8(1), 3424-3429. doi:https://www.ijrte.org/wp-content/uploads/papers/v8i1/A9219058119.pdf

  • Wei, G., & Lu, M. (2017). Pythagorean fuzzy Maclaurin symmetric mean operators in multiple attribute decision making. International Journal of Intelligent Systems, 33(5), 1043-1070. doi:https://doi.org/10.1002/int.21911

  • Zhang, S., & Zhong, H. (2019). Mining users trust from e-commerce reviews based on sentiment similarity analysis. IEEE Access, 7, 13523-13535. doi:https://doi.org/10.1109/access.2019.2893601


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  • Analyzing Online Food Delivery Industries using Pythagorean Fuzzy Relation and Composition

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Authors

Usha Dinakaran
Associate Professor, Department of Hotel Management, Christ (Deemed to be University), Bangalore, Karnataka, India

Abstract


Analyzing Online Food DeFood and beverages constitute a significant portion of the family expenditure, which motivates the food delivery companies in striving hard to meet the customer needs through their dynamic food delivery apps. The online food ordering system is one of the most profitable marketing strategies for restaurant businesses. The face of the restaurant industry has shifted from the traditional dine-in culture to takeaways, online ordering, and home deliveries. Digital technology and social media have a significant role in ensuring the efficiency and popularity of a food delivery app. The four essential factors for a food delivery company to satisfy the needs of the consumers in day to day life are choice of restaurants, speed of delivery, payment option and quality of service. The objective of this study is to discern and analyse these four essential factors adopted by the leading four food delivery companies and evaluate the perceptions of the consumers. The best online food delivering company is identified using Pythagorean Fuzzy Relation (PFR)and composition. The analysis concludes that Zomato food application is the best in consumer’s perception.The outcome of the survey is made more efficient by adopting a mathematical approach.livery Industries using Pythagorean Fuzzy Relation and Composition.

Keywords


Choice of Restaurants, Payment Option, Pythagorean Fuzzy Relation, Speed of Delivery, Quality of Device

References