This proposal outlines a study on the role of digital and social media marketing on consumer behavior. The objectives are to examine how digital marketing influences purchase decisions, evaluate which channels consumers prefer for buying over traditional channels, and analyze the impact of social media on buying behavior. The methodology will include surveys to collect both primary and secondary data using convenient sampling of both online and offline respondents. Data will be analyzed using statistical and graphical techniques as well as ISM-Dematel and network relation mapping models.

1. Proposal of the Comprehensive Project on
A comprehensive study on the Role of Digital
and Social Media Marketing on Consumer
Behavior
Name- Soumyajit Karmakar
Roll No- 21PGDM-BHU102

2. Project Title:
“A comprehensive study on the Role of Digital and Social Media Marketing on the Consumer
Behaviour “
Project Objective:
 To examine the implication of digital marketing in the consumer purchase decision and to find out
that the consumers are aware of digital marketing and the digital channels influence in their purchase
decision.
 To evaluate the various channels preferred by consumers for buying decisions over traditional
channels.
 To analyze the impact of social media on consumer buying behavior.
Project Summary:
The automotive industry has always been an example in the field of Project Management and Leadership
and, of course, as far as quality is concerned. Increasing global competition over the past decade has
forced automotive companies to improve quality and efficiency. Using the management tools that are
relevant to the organization’s needs has become a strategic issue for companies in today’s competitive
environment. Data-driven quality management enables to pre-emptively identify possible defect points
before and during as opposed to after production. This approach involves:
 Systematically collecting and analysing real-time quality data
 Using data to build quality models and profiles
 Comparing product samples and machinery status to the quality models and profiles in real time
Data-driven quality management delivers a more accurate and efficient way to identify the exact point of
potential defects, improving problem solving and resulting in products that adhere more closely to
predetermined standards.
The aim of this research is to identify the various types of barriers that an automotive component
manufacturing company faces when attempting to introduce data driven quality management. So, the
future scope of this study is huge.
The process flow of the project will be:
1. Identifying the barriers of data driven quality management.
2. Consulting with industry professionals to get more clarity about these barriers.
3. Then analysis will be done based on the previous two.
4. The findings and limitations of the research will be noted.
5. Then the future scopes of improvements of the study will be recommended.

3. Research Methodology:
• Research Design: Exploratory
• Source of the data: Both Primary and Secondary Data.
• Sampling Plan: Convenient Sampling.
• Sample Location: Both Online and Offline Survey.
• Research models to be used: ISM-Dematel, Network relation Map
• Data Analysis and Representation: Both graphical and statistical analysis of data.