Title: Chapter 4: The Business Research Process
1Chapter 4 The Business Research Process
2INFORMATION
- REDUCES UNCERTAINTY
- HELPS FOCUS DECISION MAKING
3TYPES OF RESEARCH
- EXPLORATORY
- DESCRIPTIVE
- CAUSAL
4UNCERTAINTY INFLUENCES THE TYPE OF RESEARCH
CAUSAL OR DESCRIPTIVE
EXPLORATORY
COMPLETELY CERTAIN
ABSOLUTE AMBIGUITY
5Degree of Problem Definition
Exploratory Research Descriptive
Research Causal Research (Unaware of
Problem) (Aware of Problem) (Problem Clearly
Defined) Our sales are declining and What
kind of people are buying Will buyers purchase
more of we dont know why. our product? Who
buys our our products in a new package? compet
itors product? Would people be interested
Which of two advertising in our new
product idea? What features do buyers
prefer campaigns is more effective? in our
product?
possible situation
6EXPLORATORY RESEARCH
Secondary Data Experience Survey Pilot Studies
(Focus Groups)
7EXPLORATORY RESEARCH
- INITIAL RESEARCH CONDUCTED TO CLARIFY AND DEFINE
THE NATURE OF A PROBLEM - DOES NOT PROVIDE CONCLUSIVE EVIDENCE
- SUBSEQUENT RESEARCH EXPECTED
8DESCRIPTIVE RESEARCH
- DESCRIBES CHARACTERISTICS OF A POPULATION OR
PHENOMENON - SOME UNDERSTANDING OF THE NATURE OF THE PROBLEM
9DESCRIPTIVE RESEARCH EXAMPLE
- Weight Watchers average customer
- Woman about 40 years old
- Household income of about 50,000
- At least some college education
- Trying to juggle children and a job
10DESCRIPTIVE RESEARCH EXAMPLE
- Mens fragrance market
- 1/3 size of womens fragrance market
- But growing at a faster pace
- Women buy 80 of mens fragrances
11CAUSAL RESEARCH
- CONDUCTED TO IDENTIFY CAUSE AND EFFECT
RELATIONSHIPS
12IDENTIFYING CAUSALITY
A causal relationship is very difficult to
prove. Evidence of causality 1. The
appropriate causal order of events 2.
Concomitant variation--two phenomena vary
together 3. An absence of alternative plausible
explanations
13STAGES IN THE RESEARCH PROCESS
- PROBLEM DISCOVERY AND PROBLEM DEFINITION
- RESEARCH DESIGN
- SAMPLING
- DATA GATHERING
- DATA PROCESSING AND ANALYSIS
- CONCLUSIONS AND REPORT
14The Business Research Process
15The Research Process (cont.)
16RESEARCH STAGES
- Cyclical process - conclusions generate new ideas
- Stages can overlap chronologically
- Stages are functionally interrelated
- Forward linkages
- Backward linkages
17Selection of sampling Technique/design
Problem discovery
Problem Discovery and Definition
Sampling
Selection of exploratory research technique
Probability
Nonprobability
Secondary (historical) data
Experience survey
Pilot study
Case study
Collection of data (fieldwork)
Data Gathering
Data Processing and Analysis
Editing and coding data
Problem definition (statement of research
objectives)
Data processing
Selection of basic research method
Research Design
Conclusions and Report
Interpretation of findings
Experiment
Survey
Observation
Secondary Data Study
Report
Laboratory
Field
Interview
Questionnaire
18PROBLEM DISCOVERY AND DEFINITION
- FIRST STEP
- PROBLEM, OPPORTUNITY, OR MONITOR OPERATIONS
- DISCOVERY BEFORE DEFINITION
19State the research questions and research
objectives
20HYPOTHESIS
- A STATEMENT
- THAT CAN BE REFUTED
- BY EMPIRICAL DATA
21Secondary (historical) Data
Exploratory Research
22EXPLORATORY RESEARCH TECHNIQUES - TWO EXAMPLES
- SECONDARY DATA (HISTORICAL DATA)
- Previously Collected
- Census of Population
- Literature Survey
- PILOT STUDY
- A Number of Diverse Techniques
23FOCUS GROUP INTERVIEW
24Focus groups.
- Group dynamics and synergy.
- Small samples.
- Not just open ended but discussion and analysis.
25RESEARCH DESIGN
- MASTER PLAN
- FRAMEWORK FOR ACTION
- SPECIFIES METHODS AND PROCEDURES
26BASIC RESEARCH METHODS
Surveys Experiments Secondary Data
Studies Observations Studies
27Forms of Survey Research
Common Forms of Survey Research
In-Home or Mall
Telephone
E-Mail/ Internet
Mail Survey
28Experiments.
- Causal relationships.
- Lab or field.
- Experimental design, causation and control of
extraneous factors.
29Observation Research.
- Personal - Mystery shoppers, One-way mirrors.
- Mechanical - Traffic counters.
- Electrical - e.g., video carts, people meters.
- Scanners.
30Selecting a Sample
Sample subset of a larger population.
SAMPLE
POPULATION
31SAMPLING
- WHO IS TO BE SAMPLED
- HOW LARGE A SAMPLE
- HOW WILL SAMPLE UNITS BE SELECTED
- PROBABILITY OR NON-PROBABILITY.
32DATA GATHERING STAGE
33DATA PROCESSING AND ANALYSIS
34CONCLUSIONS AND REPORT WRITING
- EFFECTIVE COMMUNICATION OF THE RESEARCH FINDINGS