Thursday, February 23, 2017

Process of Research

Introduction:
The importance of a research proposal in management decision-making was discussed in the chapter research proposal. The research process starts once the research proposal has been approved . The process beings with the definition of the research problem and ends with the final reporting of the results to the decision marker. The involvement of the decision-marker is essential in almost all the steps excepting a few which involve pure research and analysis.

Research Process Steps:

These steps are interdependent and simulations, though they are treated here as if they were sequential. 

Thus the steps given here only indicative of the possible major steps that can be taken in a marketing research project and do not represent the exact sequence of the steps that are taken. This sequence varies for one problem to another.

1. Defining the Research Problem:
Problem identification in a research project is like choosing the destination for a journey. A research project without identifying the right problem is as meaningless as a journey without a destination. A problem as presented to the researcher is only a tentative problem and it is just a statement of the problem of perceived by the decision maker. It may not be the real problem in most cases, and it is the duty of the researcher to identify it correctly.

2. Cost/Value analysis of the Information:
The major cost constraints in marketing research are time and money. These costs are justified only by the value of the information, which is the result of the research. The decision maker depends on research for some  additional information that can reduce the uncertainty about the situation. But the additional data does not have any value if it is not supplied in time. So the time factor is important in research. Thus time can be considered a major resource for marketing research.

3. Selection of the Data Collection method:
A researcher can use two types of data, data exclusively collected for the current problem:
secondary data collected for some other purpose and which is useful in the present research. In an exploratory survey, secondary data is used more regularly because of its cost and time advantages, whereas in conclusive research the usage depends upon the case,

4. Selection of the Sample:
Due to this size, it has become impossible to collect information from the entire population of a target market, sampling is used to overcome this problem.
i) population ii)Sampling iii)probability iv)Non probability v)sample size.

5. Selection of the Method of analysis:
A given method of analysis requires a particular data element in a particular format. Since each analytical method requires different data elements , in different forms, it is necessary to determine the analytical method before venturing into data collection. Again, the method of analysis depends on the nature of the sampling process and the data collection method .

6. Estimate the Resources Needed : 
The resources needed for research for research are time, finance and personnel. Time and financial requirements are inversely dependent on each other. i.e.,if one likes to reduce financial expenses then the research may take a longer time period, and if one tries to conduct the same research in lesser time period the financial expenses may increase. Researchers need to strike a balance between the use to these two.

7.Prepare the Research Proposal:
A written research proposal puts down on paper the management problem, the research objectives, the research methodology and the resource requirements. This will help the researcher and the decision-maker to be in perfect agreement in each other that the research is on the right track. 

8. Data Collection:
Data collection requires trained people for ensuring the validity of research. If a firm's requirement does not warrant a permanent team, it can out store personnel from data collector suppliers. When the firm hires data collectors, it should take care that these hires are well trained.

9. Data Analysis:
Before data collected is analyzed, it needs to be edited, coded and tabulated. Once it is tabulated the data is analyzed using statistical analysis. The results obtained from analysis are interpreted to some extent by the researcher. The rest of the interpretation is done by the decision-maker himself, as he understands the problem situation more clearly than the researcher. The reliability of the analysis estimated by error estimation methods. Once the analysis is done and the  interpretation is made, the researcher needs to report the research to the decision-marker.

10. Reporting:
Reporting is the culmination of a research effort. Since it involves communication, one should take care of the factors affecting communication. This means that the report should contain both technical detail and managerial implications. It should consist of an executive summery that mentions the managerial implications. This should be then supplemented by the technical details, so that the decision-marker can refer to them as and when needed. The report should also cover the methodology used in the research.



Characteristics and Nature

Nature of Research

1. Objective and Logical:
Research strives to be objective and logical, applying every possible test to validate the procedure employed , the data collected and the conclusion reached.

2. Future Occurrence:
Research emphasizes the development of generalization, principles of theories that will be helpful in predicting future occurrences.

3. Courage:
Research some times requires courage

4. Solve the Problem :
Research is directed towards the solution of a problem. It may attempt to answer a question to determine the relation between two or more variables.

5. Experiences:
Research is based upon observable experience

6.Recording and reporting:
Research is carefully recorded and reported.

7. Expertise:
Research requires expertise; the researcher knows what is already known about the problem and how others have investigated it.

8. Collection of Data: 
Research involves gathering new data from primary sources or using existing data for new purpose.

9. Research demands accurate descriptions.

Objectives of Research Methodology

Some of the important objectives of research methodology are:


  • Exploratory/Formulative Research: To gain familiarity with a phenomenon to achieve new sights into it.
  • Descriptive Research: To portray accurately the characteristics of a particular individual, situation or a group.
  • Diagnostic Research: To determine the frequency with which something occurs or with which it is associated with something else.
  • Hypothesis Testing Research: To test a hypothesis of a causal relationship between variables.

What is Research

Research is the systematic process of collecting and analyzing information to increase our understanding of the phenomenon under study. It is the function of the research to contribute to the understanding of the phenomenon and to communicate that understanding to others.

Research refers to search for knowledge. It can also be defined as a scientific and systematic search for gaining information and knowledge on specific topic or phenomena. Research is a systematic approach to gather information required for sound management decisions.

Research  means:
> Careful or thorough search.
> Serious inquiry or examination
> Collecting of information about a particular subject.

Definitions of research

a) Research is a systematized effort to gain new knwledge
                                                                 "Redman and Mory"

b) Research is a careful investigation or inquiry especially through search for new facts in and branch of knowledge.
                                                                          "Advanced Learner's Dictionary"


Role of Quantitative Techniques in Business and Industry

The role of quantitative techniques in business and industry, Some of the industrial,government and business problems which can be analysed by or approach have been arranged by functional areas as follows:

1. Finance and Accounting:
=> Dividend policies, investment and portfolio management,                 auditing, balance sheet and cash flow analysis
=>  Claim and complaint procedure, and public accounting
=> Break -even analysis , capital budgeting, cost allocation and             control, and financial planning
=> Establishing costs for by-products and developing standard               costs.

2. Marketing:
=> Selection of product-mix, marketing and export planning
=> Advertising, media planning, selection and effective packing            alternatives
=> Best time to launch a new product
=> Predicting customer loyalty

3. Purchasing, Procurement and Exploration:
=> Optimal buying and reordering with or without price quantity           discount
=> Transportation planning
=> Replacement policies 
=> Bidding policies
=> Vendor analysis
4. Production Management:

i) Facilities and Planning

=> Location and size of warehouse or new plant, distribution                centers and retail outlets 
=> Logistics, layout and engineering desing
=> Transportation, planning and scheduling

ii) Manufacturing:

=> Aggregate production planning, assembly line, blending,                  purchasing and inventory control 
=> Employment, training, layoffs and quality control 
=> Allocating R&D budgets most effectively

iii) Maintenance and project scheduling:

=> Maintenance policies and preventive maintenance
=> Maintenance crew size and scheduling
=> Project scheduling and allocation of resources.

iv) Personnel Management:

=> Manpower planning, wage/salary administration
=> Designing organization structures more effectively
=> Negotiation in a bargaining situation
=> Skills and wages balancing
=> Scheduling of training programmes to maximize skill                     development and retention.

v) Techniques and General Management:

=> Decision support systems and MIS, forecasting
=> Making quality control more effective
=> Project management and  strategic planning

vi) Government:

=> Economic planning natural resources, social planning and                energy 
=> Urban and housing problems
=> Military, police, pollution control, etc



Statistical Techniques

These techniques are used in conducting the statistical inquiry concerning  a certain phenomenon. They are including all the statistical methods beginning from the collection of data till task of interpretation of the collected data. More clearly, the methods of collection of statistical data, the technique of classification and tabulation of the collected data, the calculation of various statistical measures such as mean , standard deviation, coefficient of correlation etc, the techniques of analysis and interpretation and finally the task of deriving inference and judging their reliability are some of the important statistical techniques that can show whether and how strongly pairs of variables are related.

Correlation can tell you just how much of the variation in peoples' weighs is related to their heights. Although this correlation is fairly obvious your data may contain unsuspected correlations. You may also suspect there are correlations, but don't know which are the strongest. An intelligent correlation analysis can lead to a greater understanding of your data.

There are several different correlation techniques. The survey system's optional statistics Module includes the most common type called person or product-moment correlation. The module also includes a variation on this type called partial correlation. The latter is useful when you want to look at the relationship between two variables while removing the effect of one or two other variables. Like all statistical techniques, correlation is only appropriate for certain kinds of data. Correlation works for quantifiable data in which numbers are meaningful, usually quantities of some sort. It cannot be used for purely categorical data, such as gender, brands purchased , or favorite  color .

Wednesday, February 22, 2017

Classifications of Quantitative Techniques

The following chart enlists the names of the important quantitative techniques:


                                      Quantitative
                                       Techniques                                                                                                                                                                          Statistical Techniques                Programming Techniques
          (statistical methods and                (operation research)
                 measures)


  1. Methods of collecting data 
  2. Classification and tabulation of collected data
  3. Probability theory and sampling analysis
  4. Correlation and regression 
  5. Index number
  6. Time series analysis
  7. Interpolation and Extrapolation
  8. Survey techniques and methodolgy
  9. Ratio analysis
  10. Statistical quality control
  11. Analysis of variance
  12. Statistical Inferences and interpretation
  13. Theory of Attributes or Techniques
  • Linear programming
  • Decision Theory
  • Theory of Games
  • Simulation
      a) Monte carlo Techniques
      b) System simulation

     

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