A COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION: EVALUATING SERVICE QUALITY AND DELIVERYEFFICIENCYINTWO ONLINE FOOD ORDERING PLATFORMS AMONGFREQUENTAND INFREQUENT USERS

AIM This study aims to compare customer satisfaction levels between two onlinefooddelivery services, with a specific focus on how regular and occasional users perceiveeachplatform. By employing robust analytical techniques, including statistical testingandcomparative analysis, the research seeks to uncover actionable insights for service providersto enhance strategic decision-making and deepen the understanding of customer satisfactiondynamics in the online food delivery sector. MATERIALS AND METHODS ConductedinTamil Nadu, India, the study gathered data from 120 participants using Google Forms. Theresponses were analyzed using Excel and SPSS, with statistical methods such as ANOVAand t-tests applied to evaluate mean differences and correlations. The findings highlight variations in satisfaction levels between regular and occasional users, offering valuableinsights into service quality and delivery efficiency. RESULTS AND DISCUSSIONKeyresults include a one-sample t-test (t = 28.468, df = 134, p < 0.000), revealing a significant mean satisfaction difference of 1.985 between the two platforms, indicating notabledisparities in user perceptions. ANOVA results (F = 3.661, p = 0.014) demonstrate that thefrequency of issues varies across platforms, suggesting that service choice impacts problemoccurrence. Additionally, an independent t-test (p = 0.001) identified significant age-baseddifferences in ordering habits, with a mean frequency difference of -0.137, assumingequal variances. CONCLUSION The study concludes that online food delivery platforms facediverse challenges in meeting customer expectations. Swiggy, in particular, stands out for itshigh customer satisfaction ratings. The findings underscore the need for tailored strategiestoaddress varying user preferences, improve retention, and enhance overall satisfaction. Furthermore, the research highlights the critical role of user interface design in shapingthecustomer experience and fostering competitive advantage in the industry.

Authors

Publication Details

Journal
ASET Journal of Management Science
Published
2025-05-09
DOI
https://doi.org/10.47059/ajms/v4i2/02
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION: EVALUATING SERVICE QUALITY AND DELIVERYEFFICIENCYINTWO ONLINE FOOD ORDERING PLATFORMS AMONGFREQUENTAND INFREQUENT USERS

N. Kalaivani
ASET Journal of Management Science
Technology Adoption and User Behaviour
article

A COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION: EVALUATING SERVICE QUALITY AND DELIVERYEFFICIENCYINTWO ONLINE FOOD ORDERING PLATFORMS AMONGFREQUENTAND INFREQUENT USERS

N. Kalaivani
article en

Abstract

AIM This study aims to compare customer satisfaction levels between two onlinefooddelivery services, with a specific focus on how regular and occasional users perceiveeachplatform. By employing robust analytical techniques, including statistical testingandcomparative analysis, the research seeks to uncover actionable insights for service providersto enhance strategic decision-making and deepen the understanding of customer satisfactiondynamics in the online food delivery sector. MATERIALS AND METHODS ConductedinTamil Nadu, India, the study gathered data from 120 participants using Google Forms. Theresponses were analyzed using Excel and SPSS, with statistical methods such as ANOVAand t-tests applied to evaluate mean differences and correlations. The findings highlight variations in satisfaction levels between regular and occasional users, offering valuableinsights into service quality and delivery efficiency. RESULTS AND DISCUSSIONKeyresults include a one-sample t-test (t = 28.468, df = 134, p < 0.000), revealing a significant mean satisfaction difference of 1.985 between the two platforms, indicating notabledisparities in user perceptions. ANOVA results (F = 3.661, p = 0.014) demonstrate that thefrequency of issues varies across platforms, suggesting that service choice impacts problemoccurrence. Additionally, an independent t-test (p = 0.001) identified significant age-baseddifferences in ordering habits, with a mean frequency difference of -0.137, assumingequal variances. CONCLUSION The study concludes that online food delivery platforms facediverse challenges in meeting customer expectations. Swiggy, in particular, stands out for itshigh customer satisfaction ratings. The findings underscore the need for tailored strategiestoaddress varying user preferences, improve retention, and enhance overall satisfaction. Furthermore, the research highlights the critical role of user interface design in shapingthecustomer experience and fostering competitive advantage in the industry.

ASET Journal of Management ScienceVol. 4(2)
Openalex Percentile: Top 90%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION: EVALUATING SERVICE QUALITY AND DELIVERYEFFICIENCYINTWO ONLINE FOOD ORDERING PLATFORMS AMONGFREQUENTAND INFREQUENT USERS — N. Kalaivani · ASET Journal of Management Science (2025) | TGRS Research Map | TGRS