23
Summary No-10
Profile of the Student:
Name: Sarah Lalhriatpuii
Degree Programme: MBA
University/Institute: Department of Management, Mizoram University
Profile of the Mentor:
Name: P.K.Saha
Designation: AGM
Department: Not Available
Name of Regional Office: Mizoram (Aizawl)
Objectives of the Study:
•
To analyze the present status of handloom sector in the state
•
To study the diversification of handloom products
•
To study the market status of the handloom industry of the state
•
To study and determine the future scope of the handloom industry for the state
Research Methodology
• The research is undertaken with both primary and secondary sources of data. The primary data is
collected through survey questionnaires taken from weavers of the two biggest handloom clusters of
the state – Thenzawl and Aizawl, and information collected from handloom entrepreneurs, various
retail shops selling handloom products of the state and the MizoramApex Handloom and Handicraft
Co
Operative Society (MAHCO).
• To conduct the research, an exploratory research design was adopted. An exploratory design is
conducted about a research problem when there are few or no earlier studies to refer to or rely upon
to predict an outcome. The focus is on gaining insights and familiarity for later investigation or
undertaken when research problems are in a preliminary stage of investigation. Exploratory designs
are often used to establish an understanding of how best to proceed in studying an issue or what
methodology would effectively apply to gathering information about the issue.
Sources of Data:
Primary Data: Primary data is that data which is being collected specifically for the purpose of our
research project. An advantage of primary data is that it is specifically tailored to our research needs. A
disadvantage is that it is expensive to obtain. For the purpose of this research, primary data was collected
through survey questionnaires from weavers and handloom entrepreneurs, and personal interviews as
well.
Secondary Data: Secondary data is the data that have been already collected by and readily available
from other sources. Such data are cheaper and more quickly obtainable than the primary data and also
may be available when primary data cannot be obtained at all. Secondary data analysis can save time
that would otherwise be spent collecting data and, particularly in the case of quantitative data, can
provide larger and higher-quality databases that would be unfeasible for any individual researcher to
