1. “EFFECTS OF QUALITY AND RELIABILTY OF STATISTICAL DATA ON
INDUSTRY SALES/MARKET SHARE ON MANAGERIAL DEPENDENCY ON USE
OF MARKET SHARE FOR STRATEGY FORMATION”
By
ZOHAIB JAWED – Group Leader
FARHANA SADRUDDIN
MARVI NAUZER
AIJAZ KAROWALIA
IRFAN KAREDIA
ANAS JAWAID DURANI
Defence View, Shaheed-e-Millat Road (Ext.)
Karachi, Pakistan
16th, December, 2013

2. RESEARCH PROPOSAL
Research Topic:
Effects of quality and reliability of statistical data on industry sales / market
share on managerial dependency on use of market share for strategy formation.
Introduction:
Raw Data which we are collecting should be reliable and qualitative enough so we can
formulate a statistical data on its basis. Once the statistics will be generated then we will
evaluate the reliability and quality of the statics which will help us to predict our standing
in the market.
(Feerrier, Smith, Grimm, 1999)
The elements of statistical data includes hypothesis, out layers, graphical data, regression
etc. A graphical reorientation of the interaction effect may help to test whether the term
statistically significant. This way the data collected is reliable and qualitative which as a
result allow managers to formulate strategy for an organization.
( Tracey, Vonderembse, Su Lim,1999)
This facilitates the decision making process taking in an account essential factors such as:
industry sales, market share. The latter will highlight the company’s reputation in the
market. This also examines internal factor which contribute to the strengthening and
positioning of the business for success. Also it will highlight weakness in an organization
such as lack of commitment; technological issues etc.
( Tracey, Vonderembse, Su Lim,1999)

3. On the other side external factor such as competition, niche market, and target market will
also be consider which will help us determine customer satisfaction.
(Hennig-Thurau, Klee, 1997)
In order to cater to the above mentioned customize data is preferred over standardize data.
( Tracey, Vonderembse, Su Lim,1999)
Whereas standardize data would be miss leading for the managers who will use it for their
research and strategy formulation.
Statement Of Problem:
To study the effects of quality and reliability of statistical data on industry sales/market
share on managerial dependency on use of market share for strategy formation
Model/Framework To Be Used:
TO BE DECIDED
Variables To Be Studied:
TO BE DECIDED
Proposed Hypothesis:
TO BE DECIDED
Source Of Information:
These informations will collect from different respondents.

4. Sampling Technique & procedure:
Un-restricted non-probability sampling (convenient sampling) technique and
procedure will be used.
Sample Size:
Sample size will between hundred and eighty (280)
Method Of Data Collection & Procedure:
The method of data collection will be personal survey method
Instrument of Data Collection:
The questionnaire will be in likert scale
Statistical Test to be used:
TO BE DECIDED
Possible Findings:
TO BE DECIDED

5. References:
Ferrier, W. J., Smith, K. G., & Grimm, C. M. (1999). The Role of Competitive Action in
Market Share Erosion and Industry Dethronement: A Study of Industry Leaders
and Challengers. Journal, 42(4), 372-388. Retrieved November 28, 2013
Hennig-Thurau, T., & Klee, A. (1998). The impact of customer satisfaction and
relationship quality on customer retention: A critical reassessment and model
development. Psychology and Marketing, 14(8), 737-764. Retrieved November 26,
2013
Tracey, M., Vonderembse, M. A., & Lim, J. (1999). Manufacturing technology and
strategy formulation: keys to enhancing competitiveness and improving
performance. Journal of Operations Management, 17(4), 411–428. Retrieved
November 24, 2013
______________________ _______________________
Thesis Supervisor Head Research IURC

6. References:
Ferrier, W. J., Smith, K. G., & Grimm, C. M. (1999). The Role of Competitive Action in
Market Share Erosion and Industry Dethronement: A Study of Industry Leaders
and Challengers. Journal, 42(4), 372-388. Retrieved November 28, 2013
Hennig-Thurau, T., & Klee, A. (1998). The impact of customer satisfaction and
relationship quality on customer retention: A critical reassessment and model
development. Psychology and Marketing, 14(8), 737-764. Retrieved November 26,
2013
Tracey, M., Vonderembse, M. A., & Lim, J. (1999). Manufacturing technology and
strategy formulation: keys to enhancing competitiveness and improving
performance. Journal of Operations Management, 17(4), 411–428. Retrieved
November 24, 2013
______________________ _______________________
Thesis Supervisor Head Research IURC