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Chapter 3

                  The Research Process - The Broad Problem
                   Area and Defining the Problem Statement



© 2009 John Wiley & Sons Ltd.                                1
www.wileyeurope.com/college/sekaran
The Broad Problem Area
       Examples of broad problem areas that a manager could
        observe at the workplace:
            – Training programs are not as effective as anticipated.
            – The sales volume of a product is not picking up.
            – Minority group members are not advancing in their careers.
            – The newly installed information system is not being used by
              the managers for whom it was primarily designed.
            – The introduction of flexible work hours has created more
              problems than it has solved in many companies.




© 2009 John Wiley & Sons Ltd.                                               2
www.wileyeurope.com/college/sekaran
Preliminary Information Gathering

            Nature of information to be gathered:
            –    Background information of the organization.
            –    Prevailing knowledge on the topic.




© 2009 John Wiley & Sons Ltd.                                  3
www.wileyeurope.com/college/sekaran
Literature Review
       A good literature survey:
            – Ensures that important variables are not left out of the study.
            – Helps the development of the theoretical framework and
              hypotheses for testing.
            – Ensures that the problem statement is precise and clear.
            – Enhances testability and replicability of the findings.
            – Reduces the risk of “reinventing the wheel”.
            – Confirms that the problem is perceived as relevant and
              significant.


© 2009 John Wiley & Sons Ltd.                                                   4
www.wileyeurope.com/college/sekaran
Data sources
         Textbooks
         Academic and professional journals
         Theses
         Conference proceedings
         Unpublished manuscripts
         Reports of government departments and corporations
         Newspapers
         The Internet
© 2009 John Wiley & Sons Ltd.                                  5
www.wileyeurope.com/college/sekaran
Searching for Literature
       Most libraries have the following electronic resources at
        their disposal:
            –   Electronic journals
            –   Full-text databases
            –   Bibliographic databases
            –   Abstract databases




© 2009 John Wiley & Sons Ltd.                                       6
www.wileyeurope.com/college/sekaran
The Problem Statement
       Examples of Well-Defined Problem Statements
            – To what extent do the structure of the organization and type of information
              systems installed account for the variance in the perceived effectiveness
              of managerial decision making?
            – To what extent has the new advertising campaign been successful in
              creating the high-quality, customer-centered corporate image that it was
              intended to produce?
            – How has the new packaging affected the sales of the product?
            – What are the effects of downsizing on the long-range growth patterns of
              companies?




© 2009 John Wiley & Sons Ltd.                                                           7
www.wileyeurope.com/college/sekaran
The Research Proposal
       Key elements:
            –   Purpose of the study
            –   Specific problem to be investigated.
            –   Scope of the study
            –   Relevance of the study
            –   Research design:
                 • Sampling design
                 • Data collection methods
                 • Data analysis
            – Time frame
            – Budget
            – Selected Bibliography


© 2009 John Wiley & Sons Ltd.                          8
www.wileyeurope.com/college/sekaran
Additional & Supportive Material

         Business
      Research Methods

          William G. Zikmund


              Chapter 6:
       Problem Definition and the
          Research Proposal
A Sea Horse’s Tale
Problem Discovery                       Problem                                                                                     Selection of
  and Definition                       discovery                                                                                exploratory research
                                                                                                                                     technique
                                                                                                             Sampling

                                      Selection of
                                  exploratory research
                                       technique                                                                            Probability    Nonprobability



          Secondary
                                 Experience            Pilot              Case                                                     Collection of
          (historical)                                                                                       Data
                                   survey              study              study                                                         data
             data                                                                                            Gathering
                                                                                                                                    (fieldwork)

                                                                                                              Data
                                                                                                                                    Editing and
                                    Problem definition                                                        Processing
                                                                                                              and
                                                                                                                                      coding
                                      (statement of                                                                                    data
                                   research objectives)                                                       Analysis

                                                                                                                                       Data
                                       Selection of                                                                                 processing
Research Design                       basic research
                                         method                                                               Conclusions
                                                                                                                                   Interpretation
                                                                                                              and Report
                                                                                                                                         of
                                                                                                                                      findings
         Experiment                                   Survey
                                                                                                Secondary
     Laboratory          Field            Interview       Questionnaire           Observation
                                                                                                Data Study                            Report
Uncertainty Influences the Type of
                     Research


CAUSAL OR     COMPLETELY         ABSOLUTE    EXPLORATORY
DESCRIPTIVE   CERTAIN            AMBIGUITY
Problem Discovery and Definition
   First step
   Problem, opportunity, or monitor operations
   Discovery before definition
   Problem means management problem
“The formulation of the problem is
  often more essential than its
            solution.”

         Albert Einstein
Problem Definition
 The indication of a specific business decision area that
  will be clarified by answering some research questions.
Defining Problem Results in
Clear Cut Research Objectives
Symptom Detection



    Analysis of
   the Situation
                      Exploratory
                       Research
                       (Optional)
Problem Definition



   Statement of
Research Objectives
The Process of
     Problem Definition
Ascertain the      Determine unit of
decision maker’s   analysis
objectives



Understand         Determine
background of      relevant variables
the problem



Isolate/identify   State research
the problem, not   questions and
the symptoms       objectives
Ascertain i.e. (Establish, Determine)
the Decision Maker’s Objectives

 Decision makers’ objectives
 Managerial goals expressed in measurable terms.




                                                    18
The Iceberg Principle


 The principle indicating that the dangerous part of many
  business problems is neither visible to nor understood
  by managers.
Source:
Example
            Apple’s iPod fueled the company’s success in recent
             years, helping to increase sales from $5 billion in 2001 to
             $32 billion in the fiscal year 2008. Growth for the music
             player averaged more than 200% in 2006 and 2007,
             before falling to 6% in 2008. Some analysts believe that
             the number of iPods sold will drop 12% in 2009. “The
             reality is there’s a limited group of people who want an
             iPod or any other portable media player,” one analyst
             says. “So the question becomes, what will Apple do
             about it?”




Source: www.wileyeurope.com/college/sekaran                            21
© 2009 John Wiley & Sons Ltd.
Understand the Background of the
              Problem
 Exercising judgment
 Situation analysis - The informal gathering of
  background information to familiarize researchers or
  managers with the decision area.




                                                         22
Isolate and Identify the Problems,
          Not the Symptoms
 Symptoms can be confusing




                                       23
Examples: Symptoms Can Be Confusing
Twenty-year-old neighborhood swimming association:
 Membership has been declining for years.
 New water park -residents prefer the expensive water
  park????
 Demographic changes: Children have grown up
Example: Symptoms Can Be Confusing
(cont.)

                                           Problem Definition
Organization       Symptoms                Based on Symptom       True Problem

Twenty-year-old    Membership has been     Neighborhood           Demographic changes:
neighborhood       declining for years.    residents prefer the   Children in this 20-
swimming           New water park with     expensive water        year-old neighborhood
association in a   wave pool and water     park and have          have grown up. Older
major city.        slides moved into       negative image of      residents no longer
                   town a few years ago.   swimming pool.         swim anywhere.
What Language Is Written on This
Stone Found by Archaeologists?


              TOTI
              EMUL
              ESTO
The Language Is English: To Tie
          Mules To


             TOTI
             EMUL
             ESTO
Determine the Unit of Analysis
 Individuals, households, organizations, etc.
 In many studies, the family rather than the individual is
  the appropriate unit of analysis.




                                                              28
Determine the Relevant Variable
 Anything that may assume different numerical values




                                                        29
Types of Variables
   Categorical
   Continuous
   Dependent
   Independent
Examples of Continuous & Categorical
              Variables
 Continuous variables -- A continuous variable has numeric values such as 1,
  2, 3.14, -5, etc. The relative magnitude of the values is significant (e.g., a value
  of 2 indicates twice the magnitude of 1). Examples of continuous variables are
  blood pressure, height, weight, income, age, and probability of illness. Some
  programs call continuous variables “ordered” or “monotonic” variables.

 Categorical variables -- A categorical variable has values that function as
  labels rather than as numbers. Some programs call categorical variables
  “nominal” variables. For example, a categorical variable for gender might use
  the value 1 for male and 2 for female. The actual magnitude of the value is not
  significant; coding male as 7 and female as 3 would work just as well. As
  another example, marital status might be coded as 1 for single, 2 for married,
  3 for divorced and 4 for widowed.

Source: http://www.dtreg.com/vartype.htm
Simplified example
(Dependent & Independent Variable)
    The independent variable is typically the variable representing the value being manipulated or changed and the
     dependent variable is the observed result of the independent variable being manipulated.
      – For example:
     concerning nutrition, the independent variable of daily vitamin C intake (how
     much vitamin C one consumes) can influence the dependent variable of life
     expectancy (the average age one attains).
     Over some period of time, scientists will control the vitamin C intake in a substantial group of people. One part
     of the group will be given a daily high dose of vitamin C, and the remainder will be given a placebo pill (so that
     they are unaware of not belonging to the first group) without vitamin C. The scientists will investigate if there is
     any statistically significant difference in the life span of the people who took the high dose and those who took
     the placebo (no dose). The goal is to see if the independent variable of high vitamin C dosage has a correlation
     with the dependent variable of people's life span. The designation independent/dependent is clear in this case,
     because if a correlation is found, it cannot be that life span has influenced vitamin C intake, but an influence in
     the other direction is possible.

Source:
http://en.wikipedia.org/wiki/Dependent_and_independent_variables#Simplified_example
If you do not know where you are going,
       any road will take you there.
Hypothesis
 An unproven proposition, A possible solution to a
  problem, Guess.
 A hypothesis can be defined as a logically conjectured
  relationship between two or more
 variables expressed in the form of a testable
  statement.
Example: XYZ Corporation is a company that is focused on a stable workforce that
    has very little turnover. XYZ has been in business for 50 years and has more than
    10,000 employees. The company has always promoted the idea that its employees
    stay with them for a very long time, and it has used the following line in its recruitment
    brochures: "The average tenure of our employees is 20 years." Since XYZ isn't quite
    sure if that statement is still true, a random sample of 100 employees is taken and the
    average age turns out to be 19 years with a standard deviation of 2 years. Can XYZ
    continue to make its claim, or does it need to make a change?

   State the hypotheses.
    H 0 = 20 years
    H 1 ≠ 20 years
    Source: http://www.referenceforbusiness.com/management/Gr-Int/Hypothesis-Testing.html

    Read more: Hypothesis Testing - levels, examples, definition, type, company, business, Hypothesis testing process http://www.referenceforbusiness.com/management/Gr-
    Int/Hypothesis-Testing.html#ixzz12KQAI0sR
State the research questions and
       research objectives



                                   36
Broad research     Statement of     Exploratory
  objectives     business problem    research
                                     (optional)




  Specific          Specific         Specific
 Objective 1       Objective 2      Objective 3




                 Research Design
                                     Results
The Process of
     Problem Definition
Ascertain the      Determine unit of
decision maker’s   analysis
objectives



Understand         Determine
background of      relevant variables
the problem



Isolate/identify   State research
the problem, not   questions and
the symptoms       objectives
Research Proposal
 A written statement of the research design that includes
  a statement explaining the purpose of the study
 Detailed outline of procedures associated with a
  particular methodology
Basic Questions -
                Problem Definition

   What is the purpose of the study?
   How much is already known?
   Is additional background information necessary?
   What is to be measured? How?
   Can the data be made available?
   Should research be conducted?
   Can a hypothesis be formulated?
Basic Questions -
          Basic Research Design
 What types of questions need to be answered?
 Are descriptive or causal findings required?
 What is the source of the data?
Basic Questions -
           Basic Research Design
   Can objective answers be obtained by asking people?
   How quickly is the information needed?
   How should survey questions be worded?
   How should experimental manipulations be made?
Basic Questions -
              Selection of Sample
   Who or what is the source of the data?
   Can the target population be identified?
   Is a sample necessary?
   How accurate must the sample be?
   Is a probability sample necessary?
   Is a national sample necessary?
   How large a sample is necessary?
   How will the sample be selected?
Basic Questions -
                 Data Gathering
   Who will gather the data?
   How long will data gathering take?
   How much supervision is needed?
   What operational procedures need to be followed?
Basic Questions -
              Data Analysis
 Will standardized editing and coding procedures be
  used?
 How will the data be categorized?
 What statistical software will be used?
 What is the nature of the data?
 What questions need to be answered?
 How many variables are to be investigated
  simultaneously?
 Performance criteria for evaluation?
Basic Questions -
                 Type of Report
   Who will read the report?
   Are managerial recommendations requested?
   How many presentations are required?
   What will be the format of the written report?
Basic Questions -
               Overall Evaluation
 How much will the study cost?
 Is the time frame acceptable?
 Is outside help needed?
 Will this research design attain the stated research
  objectives?
 When should the research be scheduled to begin?
Anticipating Outcomes
 Dummy tables
 Representations of the actual tables that will be in the
  findings section of the final report; used to gain a better
  understanding of what the actual outcomes of the
  research will be.
The Research Process
The Research Process

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The Research Process

  • 1. Chapter 3 The Research Process - The Broad Problem Area and Defining the Problem Statement © 2009 John Wiley & Sons Ltd. 1 www.wileyeurope.com/college/sekaran
  • 2. The Broad Problem Area  Examples of broad problem areas that a manager could observe at the workplace: – Training programs are not as effective as anticipated. – The sales volume of a product is not picking up. – Minority group members are not advancing in their careers. – The newly installed information system is not being used by the managers for whom it was primarily designed. – The introduction of flexible work hours has created more problems than it has solved in many companies. © 2009 John Wiley & Sons Ltd. 2 www.wileyeurope.com/college/sekaran
  • 3. Preliminary Information Gathering  Nature of information to be gathered: – Background information of the organization. – Prevailing knowledge on the topic. © 2009 John Wiley & Sons Ltd. 3 www.wileyeurope.com/college/sekaran
  • 4. Literature Review  A good literature survey: – Ensures that important variables are not left out of the study. – Helps the development of the theoretical framework and hypotheses for testing. – Ensures that the problem statement is precise and clear. – Enhances testability and replicability of the findings. – Reduces the risk of “reinventing the wheel”. – Confirms that the problem is perceived as relevant and significant. © 2009 John Wiley & Sons Ltd. 4 www.wileyeurope.com/college/sekaran
  • 5. Data sources  Textbooks  Academic and professional journals  Theses  Conference proceedings  Unpublished manuscripts  Reports of government departments and corporations  Newspapers  The Internet © 2009 John Wiley & Sons Ltd. 5 www.wileyeurope.com/college/sekaran
  • 6. Searching for Literature  Most libraries have the following electronic resources at their disposal: – Electronic journals – Full-text databases – Bibliographic databases – Abstract databases © 2009 John Wiley & Sons Ltd. 6 www.wileyeurope.com/college/sekaran
  • 7. The Problem Statement  Examples of Well-Defined Problem Statements – To what extent do the structure of the organization and type of information systems installed account for the variance in the perceived effectiveness of managerial decision making? – To what extent has the new advertising campaign been successful in creating the high-quality, customer-centered corporate image that it was intended to produce? – How has the new packaging affected the sales of the product? – What are the effects of downsizing on the long-range growth patterns of companies? © 2009 John Wiley & Sons Ltd. 7 www.wileyeurope.com/college/sekaran
  • 8. The Research Proposal  Key elements: – Purpose of the study – Specific problem to be investigated. – Scope of the study – Relevance of the study – Research design: • Sampling design • Data collection methods • Data analysis – Time frame – Budget – Selected Bibliography © 2009 John Wiley & Sons Ltd. 8 www.wileyeurope.com/college/sekaran
  • 9. Additional & Supportive Material Business Research Methods William G. Zikmund Chapter 6: Problem Definition and the Research Proposal
  • 11. Problem Discovery Problem Selection of and Definition discovery exploratory research technique Sampling Selection of exploratory research technique Probability Nonprobability Secondary Experience Pilot Case Collection of (historical) Data survey study study data data Gathering (fieldwork) Data Editing and Problem definition Processing and coding (statement of data research objectives) Analysis Data Selection of processing Research Design basic research method Conclusions Interpretation and Report of findings Experiment Survey Secondary Laboratory Field Interview Questionnaire Observation Data Study Report
  • 12. Uncertainty Influences the Type of Research CAUSAL OR COMPLETELY ABSOLUTE EXPLORATORY DESCRIPTIVE CERTAIN AMBIGUITY
  • 13. Problem Discovery and Definition  First step  Problem, opportunity, or monitor operations  Discovery before definition  Problem means management problem
  • 14. “The formulation of the problem is often more essential than its solution.” Albert Einstein
  • 15. Problem Definition  The indication of a specific business decision area that will be clarified by answering some research questions.
  • 16. Defining Problem Results in Clear Cut Research Objectives Symptom Detection Analysis of the Situation Exploratory Research (Optional) Problem Definition Statement of Research Objectives
  • 17. The Process of Problem Definition Ascertain the Determine unit of decision maker’s analysis objectives Understand Determine background of relevant variables the problem Isolate/identify State research the problem, not questions and the symptoms objectives
  • 18. Ascertain i.e. (Establish, Determine) the Decision Maker’s Objectives  Decision makers’ objectives  Managerial goals expressed in measurable terms. 18
  • 19. The Iceberg Principle  The principle indicating that the dangerous part of many business problems is neither visible to nor understood by managers.
  • 21. Example  Apple’s iPod fueled the company’s success in recent years, helping to increase sales from $5 billion in 2001 to $32 billion in the fiscal year 2008. Growth for the music player averaged more than 200% in 2006 and 2007, before falling to 6% in 2008. Some analysts believe that the number of iPods sold will drop 12% in 2009. “The reality is there’s a limited group of people who want an iPod or any other portable media player,” one analyst says. “So the question becomes, what will Apple do about it?” Source: www.wileyeurope.com/college/sekaran 21 © 2009 John Wiley & Sons Ltd.
  • 22. Understand the Background of the Problem  Exercising judgment  Situation analysis - The informal gathering of background information to familiarize researchers or managers with the decision area. 22
  • 23. Isolate and Identify the Problems, Not the Symptoms  Symptoms can be confusing 23
  • 24. Examples: Symptoms Can Be Confusing Twenty-year-old neighborhood swimming association:  Membership has been declining for years.  New water park -residents prefer the expensive water park????  Demographic changes: Children have grown up
  • 25. Example: Symptoms Can Be Confusing (cont.) Problem Definition Organization Symptoms Based on Symptom True Problem Twenty-year-old Membership has been Neighborhood Demographic changes: neighborhood declining for years. residents prefer the Children in this 20- swimming New water park with expensive water year-old neighborhood association in a wave pool and water park and have have grown up. Older major city. slides moved into negative image of residents no longer town a few years ago. swimming pool. swim anywhere.
  • 26. What Language Is Written on This Stone Found by Archaeologists? TOTI EMUL ESTO
  • 27. The Language Is English: To Tie Mules To TOTI EMUL ESTO
  • 28. Determine the Unit of Analysis  Individuals, households, organizations, etc.  In many studies, the family rather than the individual is the appropriate unit of analysis. 28
  • 29. Determine the Relevant Variable  Anything that may assume different numerical values 29
  • 30. Types of Variables  Categorical  Continuous  Dependent  Independent
  • 31. Examples of Continuous & Categorical Variables  Continuous variables -- A continuous variable has numeric values such as 1, 2, 3.14, -5, etc. The relative magnitude of the values is significant (e.g., a value of 2 indicates twice the magnitude of 1). Examples of continuous variables are blood pressure, height, weight, income, age, and probability of illness. Some programs call continuous variables “ordered” or “monotonic” variables.  Categorical variables -- A categorical variable has values that function as labels rather than as numbers. Some programs call categorical variables “nominal” variables. For example, a categorical variable for gender might use the value 1 for male and 2 for female. The actual magnitude of the value is not significant; coding male as 7 and female as 3 would work just as well. As another example, marital status might be coded as 1 for single, 2 for married, 3 for divorced and 4 for widowed. Source: http://www.dtreg.com/vartype.htm
  • 32. Simplified example (Dependent & Independent Variable)  The independent variable is typically the variable representing the value being manipulated or changed and the dependent variable is the observed result of the independent variable being manipulated. – For example: concerning nutrition, the independent variable of daily vitamin C intake (how much vitamin C one consumes) can influence the dependent variable of life expectancy (the average age one attains). Over some period of time, scientists will control the vitamin C intake in a substantial group of people. One part of the group will be given a daily high dose of vitamin C, and the remainder will be given a placebo pill (so that they are unaware of not belonging to the first group) without vitamin C. The scientists will investigate if there is any statistically significant difference in the life span of the people who took the high dose and those who took the placebo (no dose). The goal is to see if the independent variable of high vitamin C dosage has a correlation with the dependent variable of people's life span. The designation independent/dependent is clear in this case, because if a correlation is found, it cannot be that life span has influenced vitamin C intake, but an influence in the other direction is possible. Source: http://en.wikipedia.org/wiki/Dependent_and_independent_variables#Simplified_example
  • 33. If you do not know where you are going, any road will take you there.
  • 34. Hypothesis  An unproven proposition, A possible solution to a problem, Guess.  A hypothesis can be defined as a logically conjectured relationship between two or more  variables expressed in the form of a testable statement.
  • 35. Example: XYZ Corporation is a company that is focused on a stable workforce that has very little turnover. XYZ has been in business for 50 years and has more than 10,000 employees. The company has always promoted the idea that its employees stay with them for a very long time, and it has used the following line in its recruitment brochures: "The average tenure of our employees is 20 years." Since XYZ isn't quite sure if that statement is still true, a random sample of 100 employees is taken and the average age turns out to be 19 years with a standard deviation of 2 years. Can XYZ continue to make its claim, or does it need to make a change?  State the hypotheses. H 0 = 20 years H 1 ≠ 20 years Source: http://www.referenceforbusiness.com/management/Gr-Int/Hypothesis-Testing.html Read more: Hypothesis Testing - levels, examples, definition, type, company, business, Hypothesis testing process http://www.referenceforbusiness.com/management/Gr- Int/Hypothesis-Testing.html#ixzz12KQAI0sR
  • 36. State the research questions and research objectives 36
  • 37. Broad research Statement of Exploratory objectives business problem research (optional) Specific Specific Specific Objective 1 Objective 2 Objective 3 Research Design Results
  • 38. The Process of Problem Definition Ascertain the Determine unit of decision maker’s analysis objectives Understand Determine background of relevant variables the problem Isolate/identify State research the problem, not questions and the symptoms objectives
  • 39. Research Proposal  A written statement of the research design that includes a statement explaining the purpose of the study  Detailed outline of procedures associated with a particular methodology
  • 40. Basic Questions - Problem Definition  What is the purpose of the study?  How much is already known?  Is additional background information necessary?  What is to be measured? How?  Can the data be made available?  Should research be conducted?  Can a hypothesis be formulated?
  • 41. Basic Questions - Basic Research Design  What types of questions need to be answered?  Are descriptive or causal findings required?  What is the source of the data?
  • 42. Basic Questions - Basic Research Design  Can objective answers be obtained by asking people?  How quickly is the information needed?  How should survey questions be worded?  How should experimental manipulations be made?
  • 43. Basic Questions - Selection of Sample  Who or what is the source of the data?  Can the target population be identified?  Is a sample necessary?  How accurate must the sample be?  Is a probability sample necessary?  Is a national sample necessary?  How large a sample is necessary?  How will the sample be selected?
  • 44. Basic Questions - Data Gathering  Who will gather the data?  How long will data gathering take?  How much supervision is needed?  What operational procedures need to be followed?
  • 45. Basic Questions - Data Analysis  Will standardized editing and coding procedures be used?  How will the data be categorized?  What statistical software will be used?  What is the nature of the data?  What questions need to be answered?  How many variables are to be investigated simultaneously?  Performance criteria for evaluation?
  • 46. Basic Questions - Type of Report  Who will read the report?  Are managerial recommendations requested?  How many presentations are required?  What will be the format of the written report?
  • 47. Basic Questions - Overall Evaluation  How much will the study cost?  Is the time frame acceptable?  Is outside help needed?  Will this research design attain the stated research objectives?  When should the research be scheduled to begin?
  • 48. Anticipating Outcomes  Dummy tables  Representations of the actual tables that will be in the findings section of the final report; used to gain a better understanding of what the actual outcomes of the research will be.