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  <title>DSpace Collection: MBA Project Reports</title>
  <link rel="alternate" href="http://dspace.dtu.ac.in:8080/jspui/handle/123456789/16289" />
  <subtitle>MBA Project Reports</subtitle>
  <id>http://dspace.dtu.ac.in:8080/jspui/handle/123456789/16289</id>
  <updated>2026-06-29T11:48:58Z</updated>
  <dc:date>2026-06-29T11:48:58Z</dc:date>
  <entry>
    <title>QUICK COMMERCE IN INDIA:  HOW DELIVERY EXPERIENCE SHAPES  CUSTOMER SATISFACTION AND REPEAT  PURCHASES</title>
    <link rel="alternate" href="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22884" />
    <author>
      <name>JANGIR, Chetanya Jangir</name>
    </author>
    <author>
      <name>Shankar, Veenu (SUPERVISOR)</name>
    </author>
    <id>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22884</id>
    <updated>2026-06-25T04:42:39Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: QUICK COMMERCE IN INDIA:  HOW DELIVERY EXPERIENCE SHAPES  CUSTOMER SATISFACTION AND REPEAT  PURCHASES
Authors: JANGIR, Chetanya Jangir; Shankar, Veenu (SUPERVISOR)
Abstract: This project is about something that's crept into everyday life for a lot of Indian &#xD;
consumers — the ability to get groceries or household essentials delivered in under &#xD;
half an hour. Platforms like Blinkit, Zepto, and Swiggy Instamart have grown faster &#xD;
than most people predicted, and the promise they're selling is a simple one: whatever &#xD;
you need, right now. &#xD;
The question I wanted to answer was whether keeping that promise actually &#xD;
builds satisfied, loyal customers — and more specifically, which aspects of the &#xD;
delivery experience carry the most weight. &#xD;
To find out, I put together a 28-question survey covering five dimensions of &#xD;
delivery experience: speed, order accuracy, app usability, packaging, and customer &#xD;
support. Ninety respondents filled it out — mostly students and young working &#xD;
professionals. &#xD;
The data had some surprises. Speed — which everyone assumes is the core of &#xD;
Q-commerce — turned out to be only part of the picture. App usability actually scored &#xD;
higher (mean 3.85/5) and had a stronger correlation with satisfaction than speed did. &#xD;
Customer support, by contrast, scored the lowest of all five dimensions (mean 3.29/5) &#xD;
and was the area where respondents felt most let down. Overall satisfaction came in at &#xD;
3.56/5, and its relationship with repeat purchase intent was notably strong (r = 0.72). &#xD;
All seven hypotheses were supported at the 0.01 significance level. Cronbach's &#xD;
Alpha values were comfortably above the 0.70 threshold for every construct, &#xD;
confirming the survey instrument was internally consistent.</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>ROLE OF SOCIAL MEDIA ALGORITHM FATIGUE IN SHAPING CONSUMER CHOICE BEHAVIOR</title>
    <link rel="alternate" href="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22883" />
    <author>
      <name>DHINGRA, KANISHK</name>
    </author>
    <author>
      <name>Seema (SUPERVISOR)</name>
    </author>
    <id>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22883</id>
    <updated>2026-06-25T04:38:47Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: ROLE OF SOCIAL MEDIA ALGORITHM FATIGUE IN SHAPING CONSUMER CHOICE BEHAVIOR
Authors: DHINGRA, KANISHK; Seema (SUPERVISOR)
Abstract: Social media platforms and algorithm-based recommendations have revolutionized consumer &#xD;
behavior and decision-making online. All social media platforms are constantly bombarding &#xD;
their users with personalised advertising, recommended information, influencer promotions &#xD;
and re-hashing of information to boost engagement and retain users. &#xD;
While algorithmic personalisation is useful for making information more relevant and &#xD;
convenient for users, it can also result in information overload, mental fatigue, and social &#xD;
media fatigue, especially when users are exposed to too much information at the same time. &#xD;
These psychological impacts can then impact the way consumers assess options and make &#xD;
online buying choices. &#xD;
The current study seeks to explore the effect of algorithm-induced social media fatigue on &#xD;
consumer decision making. Particularly, it explores the algorithm-exposure, information &#xD;
overload, social media fatigue, and decision difficulty among social media users. The study &#xD;
was carried out using primary data obtained from a structured questionnaire which was given &#xD;
to the active social media users.  &#xD;
A total of 75 valid responses were obtained and analyzed by means of the statistical &#xD;
techniques of the Excel software. The study used descriptive statistics, reliability analysis, &#xD;
Pearson correlation analysis and regression analysis to investigate the relationship between &#xD;
the variables. The results showed that there was a strong positive correlation between &#xD;
information overload and social media fatigue, suggesting that the exposure to digital content &#xD;
to the extent of information overload has a significant impact on the mental fatigue of the &#xD;
users.  &#xD;
Another interesting discovery that emerged from the study was that Social Media Fatigue has &#xD;
a positive effect on consumer decision difficulty. Information Overload was found to be a &#xD;
strong predictor of Social Media Fatigue and it was also found to be a significant predictor &#xD;
for the difficulties associated with consumers’ decision-making processes via regression &#xD;
analysis. This study indicates that algorithm-based social media platforms may pose negative &#xD;
implications for consumer welfare and decision-making if consumers are overwhelmed by &#xD;
their usage. &#xD;
The implications of these findings indicate that a balanced approach must be adopted &#xD;
towards digital marketing efforts and a better content management strategy needs to be put &#xD;
forth to overcome cognitive overload and social media fatigue. In addition, the study provides &#xD;
useful knowledge for marketing professionals and scholars interested in learning about the &#xD;
implications of consumers' exposure to algorithm-based content.</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>IMPACT OF ALGORITHM-INDUCED SOCIAL MEDIA  FATIGUE ON CONSUMER DECISION-MAKING</title>
    <link rel="alternate" href="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22882" />
    <author>
      <name>KAPOOR, DHRUV</name>
    </author>
    <author>
      <name>Shankar, Veenu (SUPERVISOR)</name>
    </author>
    <id>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22882</id>
    <updated>2026-06-25T04:35:03Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: IMPACT OF ALGORITHM-INDUCED SOCIAL MEDIA  FATIGUE ON CONSUMER DECISION-MAKING
Authors: KAPOOR, DHRUV; Shankar, Veenu (SUPERVISOR)
Abstract: Social media platforms and algorithm-based recommendations have revolutionized consumer &#xD;
behavior and decision-making online. All social media platforms are constantly bombarding &#xD;
their users with personalised advertising, recommended information, influencer promotions &#xD;
and re-hashing of information to boost engagement and retain users. &#xD;
While algorithmic personalisation is useful for making information more relevant and &#xD;
convenient for users, it can also result in information overload, mental fatigue, and social media &#xD;
fatigue, especially when users are exposed to too much information at the same time. These &#xD;
psychological impacts can then impact the way consumers assess options and make online &#xD;
buying choices. &#xD;
The current study seeks to explore the effect of algorithm-induced social media fatigue on &#xD;
consumer decision making. Particularly, it explores the algorithm-exposure, information &#xD;
overload, social media fatigue, and decision difficulty among social media users. The study &#xD;
was carried out using primary data obtained from a structured questionnaire which was given &#xD;
to the active social media users.  &#xD;
A total of 75 valid responses were obtained and analyzed by means of the statistical techniques &#xD;
of the Excel software. The study used descriptive statistics, reliability analysis, Pearson &#xD;
correlation analysis and regression analysis to investigate the relationship between the &#xD;
variables. The results showed that there was a strong positive correlation between information &#xD;
overload and social media fatigue, suggesting that the exposure to digital content to the extent &#xD;
of information overload has a significant impact on the mental fatigue of the users.  &#xD;
Another interesting discovery that emerged from the study was that Social Media Fatigue has &#xD;
a positive effect on consumer decision difficulty. Information Overload was found to be a &#xD;
strong predictor of Social Media Fatigue and it was also found to be a significant predictor for &#xD;
the difficulties associated with consumers’ decision-making processes via regression analysis. &#xD;
This study indicates that algorithm-based social media platforms may pose negative &#xD;
implications for consumer welfare and decision-making if consumers are overwhelmed by their &#xD;
usage. &#xD;
The implications of these findings indicate that a balanced approach must be adopted towards &#xD;
digital marketing efforts and a better content management strategy needs to be put forth to &#xD;
overcome cognitive overload and social media fatigue. In addition, the study provides useful &#xD;
knowledge for marketing professionals and scholars interested in learning about the &#xD;
implications of consumers' exposure to algorithm-based content.</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>TO STUDY THE AWARENESS OF THE COLLEGE STUDENTS TOWARDS THE HEALTH INSURANCE PLANS</title>
    <link rel="alternate" href="http://dspace.dtu.ac.in:8080/jspui/handle/repository/22881" />
    <author>
      <name>MALIK, DEV</name>
    </author>
    <author>
      <name>Shankar, Veenu (SUPERVISOR)</name>
    </author>
    <id>http://dspace.dtu.ac.in:8080/jspui/handle/repository/22881</id>
    <updated>2026-06-25T04:31:55Z</updated>
    <published>2026-06-01T00:00:00Z</published>
    <summary type="text">Title: TO STUDY THE AWARENESS OF THE COLLEGE STUDENTS TOWARDS THE HEALTH INSURANCE PLANS
Authors: MALIK, DEV; Shankar, Veenu (SUPERVISOR)
Abstract: Health insurance has become an important financial protection tool in today’s healthcare &#xD;
environment, especially with the continuous rise in medical expenses, hospitalization costs, &#xD;
and lifestyle-related diseases. Despite the availability of various government and private &#xD;
health insurance schemes in India, awareness and understanding among young individuals, &#xD;
particularly college students, remain limited. This study focuses on examining the &#xD;
awareness level of college students towards health insurance plans and understanding their &#xD;
perception regarding the benefits, coverage, and importance of health insurance. &#xD;
The research was conducted using a descriptive research design with a quantitative &#xD;
approach. Primary data was collected through a structured questionnaire from 97 &#xD;
respondents belonging to different educational and demographic backgrounds. The study &#xD;
analysed factors such as awareness level, understanding of policy terms, purchasing &#xD;
behaviour, transparency of insurance companies, and knowledge regarding risk coverage &#xD;
and financial security. Statistical tools including percentage analysis, descriptive statistics, &#xD;
correlation analysis, regression analysis, and reliability analysis were used to interpret the &#xD;
collected data. &#xD;
The findings of the study reveal that although most students have basic knowledge about &#xD;
health insurance, many still lack detailed understanding regarding policy benefits, claim &#xD;
procedures, premium structures, and coverage terms. Social media, television, newspapers, &#xD;
and family members were identified as major sources of awareness. The study also found &#xD;
that awareness regarding financial protection and risk coverage positively influences the &#xD;
willingness of students to purchase health insurance plans. In addition, transparency and &#xD;
clear communication from insurance companies play a significant role in building trust and &#xD;
improving consumer perception. &#xD;
The study concludes that there is a growing awareness of health insurance among college &#xD;
students; however, there is still a strong need for better financial literacy and simplified &#xD;
insurance education. Educational institutions, policymakers, and insurance providers &#xD;
should work together to promote awareness programs, workshops, and digital campaigns &#xD;
to help young consumers make informed healthcare and financial decisions in the future.</summary>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
  </entry>
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