Decoding digital desires: Satisfaction and struggles of college students with India’s leading online shopping apps
Abstract
This study was conducted in the Parbhani district located in the Marathwada region of Maharashtra state, to examine the online shopping behavior of college students. A total of 150 students, evenly distributed by gender and aged between 20 and over 25 years, participated in the study. Data was collected through structured questionnaires combined with personal interviews and analyzed using statistical methods to identify patterns of user satisfaction and common challenges encountered. The investigation focused on popular online shopping platforms in India, revealing that Flipkart and Amazon emerged as the top performers in terms of consumer satisfaction, achieving mean satisfaction scores of 4.03 and 3.98, respectively. These scores indicate strong approval from the user base. Following them were Myntra, Ajio, and Meesho, while Snapdeal and JioMart were among the least satisfactory platforms, the latter reflecting significant service awareness or accessibility issues, as evidenced by a high proportion of respondents who had not used it. Key problems faced by consumers in online shopping were also identified: issues related to product quality and size dissatisfaction were reported by 23.97% of respondents, while 21.07% experienced delays in delivery. Additional challenges included receiving damaged goods (18.18%) and discrepancies between the product ordered and the product delivered (15.29%). Payment transaction failures affected 9.92% of users, and difficulties encountered during product returns were reported by 9.50% of respondents. Other problems such as issues with delivery personnel were less common but still significant. These findings underscore critical areas needing improvement within the Indian e-commerce sector. Addressing product quality controls, enhancing delivery reliability, simplifying return processes, and strengthening payment systems are essential to improving consumer satisfaction and fostering customer loyalty. The study highlights the importance of continuous monitoring and upgrading of online retail services to meet growing consumer expectations in a highly competitive environment.
Full Text
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Introduction
The rapid growth of e-commerce in India has led to significant shifts in consumer behavior, with college students constituting a vital segment due to their ease with technology and online environments. These students prioritize online shopping because of the convenience it provides, the wide variety of available products, and the ability to access global brands all of which strongly influence their purchasing decisions (Antony, 2022; Vaidya & Vaidya, 2017; Ganeshkumar, 2019) [1,16,6] . Mobile applications have become the dominant platform for online retail, enabling consumers to easily compare products, read reviews, and make purchases seamlessly (Arul & Sobhana, 2025) [2] . As a result, understanding consumer attitudes and satisfaction with these apps is critical for businesses seeking to enhance user experience, increase customer retention, and remain competitive in the expanding digital marketplace (Regatipally, 2025; Sreekanth, Ilavenil, & Nedumaran, 2024) [12,15] . This study is significant since it focusses on user impressions of several online shopping apps, emphasising satisfaction levels and challenges encountered when shopping online. The insights obtained are intended to help developers and marketers create more user-friendly applications, improve customer support, and resolve pain spots that impede consumers from having great purchasing experiences. Furthermore, the findings of this study can be used to inform marketing tactics aimed at increasing confidence and trustworthiness in online buying platforms (Khare, 2011) [9] . Although online shopping offers substantial convenience, users frequently face challenges such as delayed deliveries, payment failures, data privacy concerns, and insufficient customer support. Such challenges negatively impact overall satisfaction and can decrease long-term engagement with the apps. Therefore, this study aims to explore how satisfaction levels and encountered problems influence consumer attitudes toward different online shopping platforms (Antony, 2022; www.extensionjournal.com Ganeshkumar, 2019) [1,6] . By examining consumer perceptions within a specific demographic and geographic scope, the study investigates critical factors like app usability, functional reliability, quality of service, and postpurchase experiences. The aim is to provide actionable recommendations to e-commerce businesses for refining their apps, increasing customer interaction, and maintaining loyalty amid intense competition (Vaidya & Vaidya, 2017; Regatipally et.al., 2025) [16,12] .
Materials and Methods
Location of the Study
The present study was conducted in the Parbhani district, located in the Marathwada region of Maharashtra state.
Target Group
A purposive random sampling technique was used to select the sample for this research based on the researcher's specific area of interest. The sample comprised 150 collegegoing students, equally divided between males (75) and females (75), aged between 20 and above 25 years. All participants selected were active users of online shopping applications.
Data Collection and Analysis
Primary data was collected through personal interviews utilizing a structured questionnaire designed to capture users' satisfaction levels and issues faced during online shopping.
Attitudes towards different online shopping apps
A purposeful selection of prominent online shopping mobile apps in India that provide a very wide range of product varieties was considered for study. These apps include Amazon, Flipkart, Snapdeal, Myntra, Meesho, AJIO, and Jiomart. To assess respondents' attitudes towards different online shopping apps. Respondents were asked to rate their satisfaction with each app using a 5-point satisfaction Likert scale ranging from highly satisfied to highly dissatisfied. To make it convenient for the respondents who didn't use any apps, an additional 'not used' option was added to improve the Likert scale.
Si. No
Highly satisfied 5 2. Satisfied 4 3. Undescribed 3 4. Dissatisfied 2 5.
The data was analysed using descriptive statistics to summarise the data for each app and ranking was given to apps based on mean satisfaction level of the respondents for each app.
Consumer challenges
The data is organization in Excel by arranging each predefined challenge in its dedicated column. For each respondent, a score of 1 is given if they selected that challenge, and left blank or 0 was given if they didn't. then the data is statistically analysed using frequencies and percentages. To identify the most commonly faced problems, a ranking is done for the challenges based on their percentages. A bar chart was created showing the percentage of respondents for each challenge to compare the prevalence of different issues. Finally, it was discovered that 139 (92.67%) respondents were familiar with computer and mobile technologies, whereas 11 (7.33%) were not.
Results and Discussion
Personal Characteristics of consumers
Attitude of consumers towards different online shopping apps
The distribution of consumers according to their satisfaction levels with various online shopping applications has been extensively analyzed. Users were categorized based on their reported satisfaction scores, revealing that platforms like Flipkart and Amazon were associated with the highest satisfaction ratings. The data was collected and processed to evaluate user experiences, highlighting significant variations in consumer perceptions across different apps. Satisfaction levels were influenced by factors such as product quality, delivery timelines, payment security, and customer support. These findings were utilized to identify key areas of improvement critical for enhancing the overall consumer experience in the rapidly evolving online retail sector. The table 2 showed the attitude of the consumer towards different online shopping apps that they use based on their satisfaction with the apps. Which provided crucial insights into user perception and competitive positioning. Amazon and Flipkart emerge as the clear leaders in terms of user satisfaction. Flipkart records the highest mean satisfaction score of 4.03 (Ranked I), closely followed by Amazon with a mean of 3.98 (Ranked II). Both platforms show a strong majority of users reporting being "Satisfied" or "Highly Satisfied" (Flipkart: 54.67% S, 31.3% HS; Amazon: 47.3% S, 32.0% HS). Myntra secures the third position with a mean satisfaction score of 3.66 (Ranked III). Ajio follows closely with a mean of 3.51 (Ranked IV), slightly lower, satisfaction level with some respondents. Meesho ranks fifth with a mean of 3.37 (Ranked V). In contrast, Snapdeal and Jiomart exhibit significantly lower satisfaction. Snapdeal registers a low mean satisfaction score of 2.31 (Ranked VI). Even more notably, Jiomart records the lowest mean satisfaction score of 0.41 (Ranked VII), This extremely low score, with 86.67% of respondents indicating "Not used,". The high percentage of "Not used" for Jiomart is a critical point, indicating that for most respondents, a satisfaction level could not even be assessed, highlighting a significant challenge in the availability of service or awareness for this particular platform within the surveyed area and group. The findings are consistent with those of Antony (2022) [1] who observed that Flipkart is the most preferred online shopping portal. Furthermore, these findings also resonate with the earlier works done by Vaidya and Vaidya (2017) [16] and Ganeshkumar (2019) [6] .
Consumer issues while shopping online
Conclusion
It has been observed that Flipkart and Amazon are positioned as the leaders in user satisfaction, with Flipkart attaining the highest average satisfaction score of 4.03, followed closely by Amazon with a score of 3.98. A significant majority of users have reported being either satisfied or highly satisfied with these platforms. Lower satisfaction scores have been recorded for platforms like Myntra, Ajio, and Meesho, while Snapdeal and JioMart have been found to have notably lower satisfaction levels. The exceptionally low score for JioMart has been attributed to a high percentage of respondents who have not used the service, indicating a lack of availability or awareness within the target population. Problems related to product quality and sizing were reported by nearly 24% of respondents, and delivery delays were experienced by about 21%. Damaged products and mismatches between ordered and delivered goods were also significant issues, reported by 18.18% and 15.29% of respondents, respectively. Issues related to failed payments and difficulties in returning rejected products have been encountered by approximately 10% of users, while less common problems with delivery personnel constituted a smaller fraction. It is suggested that improvements be made in product quality control, logistic efficiency, and customer service to address these challenges. Enhanced quality checks and transparent product descriptions are recommended to reduce dissatisfaction relating to product mismatches. Payment systems are advised to be made more reliable, and return policies simplified. The integration of advanced technologies such as AI for personalized user experience and efficient logistics management is encouraged. These measures would be expected to improve customer satisfaction and loyalty in the currently expanding and competitive e-commerce market.
References
- Antony S. Online shopping behaviour among college students: An empirical study. Int J Bus Manag Res. 2022;10(2):56-64.
- Arul K, Sobhana SJ. A study on online shopping and buying behaviour among college students (with special reference to Coimbatore City). Int J Res Public Rev. 2025;6(9):4884-8.
- Dasari P, Puri SG. Boosting consumer loyalty and strategic guide to increasing online shopping frequency with six key factors. STAPS J. 2025;11(8):945-59. https://stapsjournal.com/volume-11-issue-8-2025/
- Dasari P, Puri SG. Evaluating consumer attitude with online shopping mobile app features and its influence on shopping frequency. Novyi Mir Res J. 2025;10(8):206-16. doi: 10.5281/zenodo.16842300
- Dasari P, Puri SG. Understanding young adults' online shopping experiences and satisfaction. Int J Agric Exten Soc Dev. 2025;8(10):395-400.
- Ganeshkumar K. A study on consumer awareness and satisfaction of online shopping consumers with special reference to Coimbatore District. J Eng Sci. 2019;10(12):907-13.
- Geetha G, Elayaraja F. Customers' satisfaction of online shopping in Thanjavur District. IOSR Int Organ Sci Res J Bus Manag. 2019;21(12):12-18.
- Gupta D, Gahlawat R. Buying behaviour of consumer in online shopping. Indian J Econ Bus. 2021;20(1):7738.
- Khare A. Antecedents of online shopping behavior in India. J Internet Commer. 2011;10(3):73-87.
- Malavika KP. Consumer behaviour towards online shopping: Project report. St. Thomas College. 2023. https://aqar2021.stthomas.ac.in/wpcontent/uploads/2023/02/495-1.pdf
- Rafsanjani MA. Unveiling impulsive buying behavior during e-commerce discount events among students. Int J Online Electron Retail. 2025;15(4):205-18. https://ijoerar.net/index.php/ijoerar/article/view/92
- Regatipally D, Salunke R, Biradar G, Mantur MK. Understanding consumer buying behavior among www.extensionjournal.com college students: A study on preferences and influences. Int J Adv Biochem Res. 2025;9(9S):280-90.
- Sengupta A, Pandey RR. A study of customer's satisfaction towards online shopping in Gorakhpur. Int J Multidiscip Res Anal. 2022;5(8):2273-82.
- Shruthi S, Prabhakar S. Influence of social media on online shopping among college students in India. J Mark Res Adv. 2024;9(3):132-45.
- Sreekanth K, Ilavenil R, Nedumaran G. A study of online shopping behavior of college-going young adults in Hyderabad: Motivations and challenges. Int J Emerg Knowl Stud. 2024;3(2):68-75. https://ijeks.com/wpcontent/uploads/2024/03/IJEKS-3-02-002.pdf
- Vaidya R, Vaidya S. Factors influencing online shopping behavior of college students in India. J Retail Consum Serv. 2017;39:123-32.
- Viknesh T, Joe Dhinakaran TS. An in-depth analysis of college students' online purchasing behavior: Trends, influences, and implications. Res Militaria J Soc Sci. 2023;11(1):45-60. https://resmilitaris.net/uploads/paper/94c5b97f02b2f2b db6238e38f91bb1a2.pdf
- Vinitha, Sakthivel M. A study on factors influencing the consumer satisfaction and consumer patronage towards on-line shopping portals. IOSR J Bus Manag. 2018;20(2):60-63.
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