Mod001093 from innovation business model to startup 140315
Abdm4064 week 04 research methodology
1. ABDM4064 BUSINESS RESEARCH
Research Methodology
Research Methodology
by
Stephen Ong
Principal Lecturer (Specialist)
Visiting Professor, Shenzhen
2. Recap
What is Research?
Research and Business
Business Managers and Research
Approach to Business Research
3. Topics of Discussion
Research Area and Topic of Research
Sources of Research Problem
Management problem and research
problem
Literature Review
4. Learning Objectives
Understand . . .
The terminology used by professional
researchers employing scientific
thinking.
What you need to formulate a solid
research hypothesis.
The need for sound reasoning to
enhance research results.
3-4
5. Research and Attitudes
“Brand communities play a pivotal role for
a brand connecting with its consumers, and
as one of our Never Ending Friending focus
group respondent notes: “I want brands to
be my friends,” which means that
consumers would like to have common
ideas, conversations and benefits delivered
to them on their own terms.”
Judit Nagy
vice president, consumer insights
MySpace/Fox Interactive Media 3-5
6. PulsePoint:
Research Revelations
55
The percent of executives who
admitted that their companies do
not have an official policy for
social networks.
3-6
7. Language of Research
Conceptual
Conceptual
Concepts
Concepts Constructs
schemes
schemes
Operational
Operational
Models
Models definitions
definitions
Terms used
in research
Variables
Propositions/
Propositions/
Hypotheses
Hypotheses
3-7
8. Language of Research
Clear conceptualization
of concepts
Success
of
Research Shared understanding
of concepts
3-8
10. Operational Definitions
How can we define the variable
“class level of students”?
Freshman < 30 credit hours
Sophomore 30-50 credit hours
Junior 60-89 credit hours
Senior > 90 credit hours
3-10
11. A Variable Is the Property
Being Studied
Event Act
Variable
Variable
Characteristic Trait
Attribute
3-11
12. Types of Variables
Male/Female
Male/Female
Dichotomous
Dichotomous Employed/ Unemployed
Employed/ Unemployed
Ethnic background
Ethnic background
Discrete
Discrete Educational level
Educational level
Religious affiliation
Religious affiliation
Income
Income
Temperature
Continuous
Continuous Temperature
Age
Age
3-12
17. Moderating Variables (MV)
• The introduction of a four-day week (IV) will
lead to higher productivity (DV), especially
among younger workers (MV)
• The switch to commission from a salary
compensation system (IV) will lead to
increased sales (DV) per worker, especially
more experienced workers (MV).
• The loss of mining jobs (IV) leads to
acceptance of higher-risk behaviors to earn a
family-supporting income (DV) – particularly
among those with a limited education (MV).
3-17
18. Extraneous Variables (EV)
• With new customers (EV-control), a switch to
commission from a salary compensation
system (IV) will lead to increased sales
productivity (DV) per worker, especially among
younger workers (MV).
• Among residents with less than a high school
education (EV-control), the loss of jobs (IV)
leads to high-risk behaviors (DV), especially
due to the proximity of the firing range (MV).
3-18
19. Intervening Variables (IVV)
• The switch to a commission compensation
system (IV) will lead to higher sales (DV) by
increasing overall compensation (IVV).
• A promotion campaign (IV) will increase
savings activity (DV), especially when free
prizes are offered (MV), but chiefly among
smaller savers (EV-control). The results
come from enhancing the motivation to save
(IVV).
3-19
20. Propositions and Hypotheses
Brand Manager Jones (case) has a
higher-than-average achievement
motivation (variable).
Generalization
Brand managers in Company Z (cases)
have a higher-than-average
achievement motivation (variable).
3-20
21. Hypothesis Formats
Descriptive Research
Hypothesis Question
In Detroit, our What is the market
potato chip market share for our potato
share stands at
13.7%. chips in Detroit?
American cities are Are American cities
experiencing budget experiencing budget
difficulties. difficulties?
3-21
22. Relational Hypotheses
Correlational Causal
Young women (under An increase in family
35) purchase fewer income leads to an
units of our product increase in the
than women who are percentage of income
older than 35. saved.
Loyalty to a grocery
The number of suits store increases the
sold varies directly with probability of
the level of the business purchasing that store’s
cycle. private brand products.
3-22
23. The Role of Hypotheses
Guide the direction of the study
Guide the direction of the study
Identify relevant facts
Identify relevant facts
Suggest most appropriate research design
Suggest most appropriate research design
Provide framework for organizing
Provide framework for organizing
resulting conclusions
resulting conclusions
3-23
24. Characteristics of
Strong Hypotheses
Adequate
Adequate
AA
Strong
Strong Testable
Testable
Hypothesis
Hypothesis
Is
Is
Better
Better
than rivals
than rivals
3-24
28. The Scientific Method
Direct observation
Direct observation
Clearly defined variables
Clearly defined variables
Clearly defined methods
Clearly defined methods
Empirically testable
Empirically testable
Elimination of alternatives
Elimination of alternatives
Statistical justification
Statistical justification
Self-correcting process
Self-correcting process
3-28
30. Curiosity Is the
Ally of a Researcher
Synovate’s campaign
associates important
discoveries in research
to a common trait of
entrepreneurs:
curiosity.
As one of the world’s
largest research
organizations, it claims
curiosity is “what
makes us tick.”
3-30
32. Deductive Reasoning
Inner-city household
Inner-city household
interviewing is especially
interviewing is especially
difficult and expensive
difficult and expensive
This survey involves
This survey involves
substantial inner-city
substantial inner-city
household interviewing
household interviewing
The interviewing in this
The interviewing in this
survey will be especially
survey will be especially
difficult and expensive
difficult and expensive
3-32
33. Inductive Reasoning
Why didn’t sales increase during our
promotional event?
Regional retailers did not have sufficient
stock to fill customer requests during the
promotional period
A strike by employees prevented stock
from arriving in time for promotion to be
effective
A hurricane closed retail outlets in the
region for 10 days during the promotion
3-33
38. LEARNING OUTCOMES
LEARNING OUTCOMES
After studying this chapter, you should
1. Define the meaning of theory
2. Understand the goals of theory
3. Understand the terms concepts, propositions,
variables, and hypotheses
4. Discuss how theories are developed
5. Understand scientific method
6. Define ethics and understand how it applies to
business research
3–38
39.
Introduction researchers hope
Theory building is the means by which basic
to expand knowledge and search for the truth.
A theory is a formal, logical explanation of some events that
includes predictions of how things relate to one another.
It is built through a process of reviewing previous
findings of similar studies, simple logical
deduction and knowledge of applicable
theoretical areas.
It plays a role in understanding practical research
as well as academic or basic business research.
It helps the researcher know what variables need
to be included in the study and how they may
relate to one another.
3–39
40. Goals of Theory
Two issues—understanding and predicting—are the
two purposes of theory.
Accomplishing the first goal allows the
theorist to gain an understanding of the
relationship among various phenomena.
That understanding enables us to predict
the behavior or characteristics of one
phenomenon from the knowledge of
another phenomenon.
3–40
41. Example:
A business researcher may theorise that older
investors tend to be more interested in investment
income than younger investors.
This theory once verified, should allow researchers
to predict the importance of expected dividend yield
on the basis of investors’ ages.
The researcher also want to gain understanding of
the situation. So the two goals go hand in hand!
Theories provide these explanations.
3–41
42. RESEARCH CONCEPTS, CONSTRUCTS,
PROPOSITIONS, VARIABLES, AND
HYPOTHESES
Concept (or construct)
Concept (or construct) is a generalized
idea about a class of objects, attributes,
occurrences or process that has been
given a name.
Examples:
43. Concept (or construct)
(cont’d)
Concepts are the building blocks of theory.
Concepts abstract reality (i.e., concepts express in
words various events or objects).
Concepts may vary in degree of abstraction.
Ladder of abstraction —organization of concepts in
sequence from the most concrete and individual to
the most general.
Moving up the ladder of abstraction, the basic
concept becomes more general, wider in scope, and
less amenable to measurement.
3–43
44. A Ladder Of Abstraction
For Concepts
Vegetation
Increasingly more abstract
Fruit
Banana
Reality
44
45. Concept (or construct)
(cont’d)
The basic or scientific business researcher operates
at two levels—on the abstract level of concepts (and
propositions) and on the empirical level of variables
(and hypotheses).
Empirical level —
Abstract level —
3–45
46. Concepts are Abstractions of
Reality
Abstract CONCEPTS
Level
Empirical OBSERVATION OF OBJECTS
Level AND EVENTS (REALITY)
46
47. Concept (or construct) (cont’d)
Latent construct —a concept that is not directly
observable or measurable, but can be estimated
through proxy measures.
Researchers are concerned with the observable world
(i.e., reality).
Theorists translate their conceptualization of reality
into abstract ideas.
Things are not the essence of theory; ideas are.
Concepts in isolation are not theories—to construct a
theory we must explain how concepts relate to other
concepts.
3–47
48. EXHIBIT 3.2
3.2 Concepts are Abstractions of Reality
3–48
49. Research Propositions and
Hypotheses
Propositions are statements concerned with the relationships among
concepts and explain the logical linkage among certain concepts by
asserting a universal connection between concepts.
A hypothesis is a formal statement explaining some outcome.
In its simplest form, a hypothesis is a guess.
A hypothesis is a proposition that is empirically
testable, so when on estates a hypothesis, it should be
written in a manner that can be supported or shown to
be wrong through an empirical test.
It is an empirical statement concerned with the
relationship among variables.
Often apply statistics to data to empirically test
hypotheses.
50. Research Propositions and
Hypotheses (cont’d)
Empirical testing means that something has been
examined against reality using data.
When the data are consistent with a
hypotheses - hypothesis is supported.
When the data are inconsistent with a
hypothesis - hypothesis is not supported.
Variables : Anything that may assume different numerical
values or categorical values. (anything that varied or
changes in value).
Operationalizing —the process of identifying the actual
measurement scales to assess the variables of interest.
3–50
51. Proposition at Abstract Level
Concept A Concept B
(Reinforcement) (Habits)
Hypothesis at Empirical Level
V- Dollar bonus for V
sales volume Always makes
over quota four sales calls
a day
51
52. The abstract proposition “Reinforcement will
increase habit strength” may be tested empirically
with a hypothesis.
Bonus pay and sales calls are variables – reflecting
the concepts – reinforcement and habits.
Variables may be measured.
52
53. Theory Building A Process Of
Increasing Abstraction
Theories
Increasingly more abstract
Propositions
Concepts
Observation of objects
and events (reality )
54. Theory Building
Theory generation can occur at the abstract,
conceptual level and at the empirical level.
Deductive reasoning is
Inductive reasoning is
Over the course of time, theory construction is often
the result of a combination of deductive and
inductive reasoning.
3–54
55. The Scientific Method
Scientific Method Suggested steps:
A set of prescribed 1. Assess relevant existing
knowledge of phenomenon
procedures for
2. Formulate concepts and
establishing and propositions
connecting theoretical
3. State hypotheses
statements about events,
4. Design research to test the
for analyzing empirical hypotheses
evidence, and for 5. Acquire empirical data
predicting events yet
6. Analyze and evaluate data
unknown.
7. Propose an explanation of
Techniques or the phenomenon and state
procedures used to new problems raised by
analyze empirical the research
evidence in an attempt to
confirm or disprove prior
conceptions.
56. The Scientific Method:
An Overview
Assess Formulate Statement
Design
relevant concepts & of
research
existing Propositions Hypotheses
knowledge
Acquire Analyze & Provide
empirical evaluate explanation-
data data state new
problem
56
57. Introduction
Topic identification is a most difficult and yet
the most important part in the process of
research. It is the starting point of your
research, once you have clear about this, you
will be able to choose the most appropriate
research strategy and data collection and
analysis techniques. The formulating and
clarifying process is time consuming.
However, without spending time on this
stage you are far less likely to achieve
successful research.
58. Research Problem
Any question that you want answered and any
assumption or assertion that you want to challenge
or investigate can become a research problem or a
research topic for your study. But not all questions
can be transformed into research problems. As a
newcomer it might seem easy to formulate a
problem but it requires a considerable knowledge of
both the subject area and research methodology.
When we examine a question more closely we will
soon realise the complexity of formulating an idea
into a problem which is researchable.
59. Formulating a Research Problem
It is like the identification of a
destination before undertaking a
journey. In the absence of a clear
research problem, a clear and
economical plan is impossible. The
problem serves as the foundation of a
research study, it is well formulated,
you can expect a good study to follow.
60. Attributes of a Good Research
Topic
Your research topic must be something you
are capable of undertaking
Your ability to find the financial and time
resources to undertake on the topic
Data availability
Clearly defined research questions and
objectives
Link with theory
Career goals
61. Research Area and Topic
Research Topic falls within a area. Selection
of topic is more difficult part of research.
Example:
Research Area: E-Business
Research Topic:
Internet Marketing behavior among MNC’s and
Domestic companies
Factors Determining adoption of e-business among the
domestic companies in Malaysia
Cost Benefit analysis on e-business with reference to
consumer durable Goods Manufactures in Malaysia
62. Choice of the Problem
Based on the Purpose of Research:
Basic Research
Applied Research
Based on the objectives
Exploratory
Descriptive
Explanatory (Hypothesis testing)
63. Methods of Generating and
Refining Research Ideas
Rational Thinking
Examine your own strength and interest
Looking at past research reports
Discussions
Searching the literature
Creative Thinking
Exploring personal preferences using past
projects
brainstorming
64. Sources of Problem of Research
Practical Problems in your field
Literature in your specific field
Request for proposal
Secondary Data Analysis
Pilot Study
Brain Storming
Focus Groups
65. Choice of the Problem
Should be Timely
Area should not be Too Crowed
The Area should not be Too Prominent
Consumer of Research
Feasibility of the Research Study
66. Formulation of a Research Problem
The following steps may be followed to
narrowing the problem or ‘zeroing in on
the problem, to have a better
formulated research problem
67. Formulation …
Identify: a broad area
Dissect the broad area into sub-area
Select a sub-area
Raise Research questions
Formulate objectives
Assess these objectives
Double check
68. Turning Research Idea into
Research Project
Research Question
It is important that the question is sufficiently involved to
generate the sort of project. Begin with one general focus
research question that flows from your research idea. This
may leads to several more detailed questions or the
research objectives
Research Objectives
From the research question you can write a set of research
objectives. It is more generally accepted to the research
community as a evidence of the researcher’s clear sense of
purpose and direction. Research objectives require more
rigorous thinking which derives use of more formal
language.
69. Research Idea to Research
Question (General Focus)
Research idea General Focus Research Question
The sponsorship of country food What benefit do commercial
clubs by commercial organizations organizations derive from their
sponsorship of country cricket
clubs?
The adoption of Flexible workforce Why do manufacturing companies
by manufacturing company divide their workforces into core
and peripheral workers?
The future of trade unions What strategies should trade
unions adopt to ensure their
viability in the future?
70. Formulation of Objectives
Objectives should be listed under two
headings
Main objectives and
Sub-objectives
The main objective is an overall statement of
the thrust of your study. It is also a statement
of the main associations and relationships
that you seek to discover or establish. The
sub objectives are the specific aspects of the
topic that you want to investigate within the
main framework of your study.
71. Formulation of Objectives
Objectives should be listed under two
headings;
Main objective(s)
Sub-objectives
72. Research Question to Research
Objectives
Research Question Research Objectives
Why have organizations introduce To identify organization’s
team briefing? objectives for team briefing
How can the effectiveness of To establish suitable effectiveness
team- briefing schemes be criteria for team-briefing schemes.
measures?
How can the team briefing To determine the factors
effectiveness be explained? associated with the effectiveness
of the team briefing.
Has team briefing been effective? To describe the extent to which
the effectiveness criteria for team
briefing have been met.
73. Management Problems vs. Research
Problems
Most management research problems
manifest themselves as Management
Decision Problems
Situation arises, management needs to make a
decision, requires research, starts the research
process
No actionable guidance
Simply a statement of the issue that
management is dealing with
Must restatement in research terms.
74. Management Problems vs. Research
Problems
Management Problem: a statement of
the information needed by a decision
maker to help solve a management
decision problem.
75. Tips for Accurately Defining
Research Problems
Find out why the information is being sought.
Determine whether the information already
exists.
Determine whether the question really
can/should be answered.
Use exploratory research to define
background of the problem
Situation analysis
The iceberg principle
Determine relevant variables
76. Definition of Research
Objectives
Management Research Objectives: the
specific bits of knowledge that need to be
gathered to close the information gaps
highlighted in the research problem.
Stated in action terms
Serve as a standard to evaluate the quality
and value of the research
Objectives should be specific and
unambiguous
77. Putting It All Together
Management Problem
Placement office has noticed, while major companies make annual recruiting
visits to campus for engineers, not many national or local companies are
formally recruiting business majors through the placement office
Why? How do we address this?
Management Research Problems
Why are companies not taking advantage of the resources that the placement
service offers? Are companies going around the service?
Are companies aware of the University placement service?
Are companies aware of the reputation of the MBA programme?
What kind of things might generate more recruiting activity?
Management Research Objectives
To determine to what extent companies are aware of the placement service
Determine whether companies, especially locals, are aware of the strong
reputation of the Business School
To determine whether a quarterly newsletter highlighting business programs
and students might generate more recruiting activity.
78. Review of Literature
Importance
Sources
Purpose
Stages of Research and Literature
Review
Method of Presentation
79. Introduction
Literature review for a proposal or a
research study means locating and
summarizing the studies about the
topic. Often these summaries are
research studies, but it may also
include conceptual articles or thought
pieces that provide frameworks for
thinking about the topic.
80. Need and Importance
Knowledge doesn’t exist in a vacuum, and
your work only has value in relation to other
people’s work. Your work and your finding
will be significant only to the extent that they
are same as or different from others work
and findings. The items your read and write
about will enhance your subject knowledge
and help you to clarify your research
question(s) further. This process is called
critically reviewing the literature.
81. Purpose of the Literature
Review
Literature reviews help researchers limit the
scope of their inquiry.
It convey the importance of the topic of study
to the readers
It shares with the reader the results of other
studies that are closely related to the study
being reported.
It relates a study to the larger ongoing
dialogue in the literature about a topic, may
be fill in gaps and extending prior studies
82. Purpose …
It provide a frame work for the study, to
identify the important variables, to
frame hypotheses, source of data,
method of data collection,
measurement of subjective variables,
to develop questionnaire, to identify
appropriate statistical technique for
data analysis.
83. Purpose …
It serves as a benchmark for comparing
the results of a study with other
findings.
84. Forms of Literature Review
Integrative:
The researcher summarizing broad themes in
literature. This is useful, in proposal writing and
to introduce the problem and background of the
research.
Theoretical:
The researcher focuses on extant theory that
relates to the problem under study. This form is
useful for development of theoretical frame work
of the study, integration of theory in to the study.
85. Forms ….
Methodological Review:
In which the researcher focuses on
methods and definitions. The reviewers
may provide not only summary of studies
but also an actual critique of the strength
and weakness of the method sections.
Normally it is put into a separate section or
chapter, in dissertations and review of
related literature.
87. States of Research and
Review of Literature
Identification and Selection
Formulation of the Selected
problem
Operationalisation of Concepts
Research Methodology
Tools for collection of data
Writing the report
88. Presentation of the Review
By Chronological order
By Topic
Problem - Solution
Cause - effect
Argument and Counter argument
Group on the basis of a particular
Variable
89. ETHICAL ISSUES IN BUSINESS
RESEARCHQuestions
Ethical Questions Are Philosophical
Business ethics is the application of morals to behavior
related to the exchange environment.
Moral standards are principles that reflect beliefs about
what is ethical and what is unethical (e.g., the Golden
Rule).
Ethical dilemma refers to a situation in which one
chooses from alternative courses of actions, each with
different ethical implications.
Relativism is a term that reflects the degree to which
one rejects moral standards in favor of the acceptability
of some action.
3–89
90. Idealism is a term that reflects the
degree to which one bases their
morality on moral standards.
Researchers and business
stakeholders face ethical dilemmas
practically every day
3–90
91. General Rights and Obligations
of Concerned Parties
Everyone involved in research can face
an ethical dilemma:
The people actually performing the research
—the “doers.”
The research client, sponsor, or the
management team requesting the research—
the “users.”
The research participants—the actual
research respondents or subjects.
Each party has certain rights and
obligations toward the other parties.
5–91
92. EXHIBIT 5.7
5.7 Interaction of Rights and Obligations
5–92
94. Rights and Obligations: Research Participant
(cont’d)
Rights to be informed
Most business research is conducted with the
research participant’s consent (i.e., the participant is
active).
Informed consent means that the individual
understands what the researcher wants him/her to
do and agrees to in the research study.
The obligation to be truthful
In return for being truthful, the subject has the right
to expect confidentiality.
Confidentiality means that information involved in
the research will not be shared with others.
3–94
95. Rights and Obligations: Research Participant
(cont’d)
Participants’ Right to Privacy
Active Research
The issue involves the participant’s freedom to choose whether
to comply.
Be considerate of participants’ time and identify yourself.
Adhere to the principles of the “Do Not Call” policy and respect
consumers’ “Internet privacy.”
Passive Research
It is generally believed that unobtrusive observation of public
behavior is not an invasion of privacy.
Recording behavior that is not conducted in public would be a
violation of privacy.
Technology allows the passive collection of data based on
consumers’ on-line behavior, and researchers should gain
consent before harvesting information.
3–95
96. Rights and Obligations: Research Participant
Protection from Harm (cont’d)
Questions to ask to help avoid harming a research
participant:
Has the research subject provided consent to
participate in an experiment?
Is the research subject subjected to
substantial physical or psychological
trauma?
Can the research subject be easily returned
to his or her initial state?
Human subjects review committee
Reviews proposed research designs to
ensure that no harm can come to any
research participant.
5–96
97. Rights and Obligations of the
Researcher
The researcher should:
Understand that the purpose of research is
research (no sales pitch to research
participants)
Maintain objectivity
Not misrepresent research
Be honest in reporting errors
Protect the confidentiality of both subjects
and clients
5–97
98. Rights and Obligations of the
Researcher (cont’d)
Researchers have rights, too:
right to cooperation from the sponsoring
client
right to be paid as long as the work is
done professionally
right to be paid in full and in a timely
manner
3–98
99. Rights and Obligations of the Client Sponsor (User)
Ethical Behavior between Buyer and Seller
The general business ethics expected
between a purchasing agent and a sales
representative should hold in a research
situation.
An Open Relationship with Research Suppliers
To encourage objectively, a full and open
statement of the decision situation, a full
disclosure of constraints in time and money,
and any other insights that assist the
researcher should be provided.
Researcher should be provided adequate
access to key decision makers.
5–99
100. Rights and Obligations of the Client Sponsor (User)
(cont’d)
An Open Relationship with Interested Parties
Conclusions should be based on data –
not conjecture.
Advocacy research – research undertaken
to support a specific claim in a legal action
or to represent some advocacy groups.
Researchers often conduct advocacy
research in their role as an expert witness.
3–100
101. Further Reading
COOPER, D.R. AND SCHINDLER, P.S. (2011)
BUSINESS RESEARCH METHODS, 11TH EDN,
MCGRAW HILL
ZIKMUND, W.G., BABIN, B.J., CARR, J.C. AND
GRIFFIN, M. (2010) BUSINESS RESEARCH
METHODS, 8TH EDN, SOUTH-WESTERN
SAUNDERS, M., LEWIS, P. AND THORNHILL, A.
(2012) RESEARCH METHODS FOR BUSINESS
STUDENTS, 6TH EDN, PRENTICE HALL.
SAUNDERS, M. AND LEWIS, P. (2012) DOING
RESEARCH IN BUSINESS & MANAGEMENT, FT
PRENTICE HALL.
1 - 101
Hinweis der Redaktion
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Several terms are used by researchers to converse about applied and theoretical business problems. A concept is a bundle of meanings or characteristics associated with certain concrete, unambiguous events, objects, conditions, or situations. The importance of conceptualization is discussed in the following slide. A construct is a definition specifically invented to represent an abstract phenomena for a given research project. Exhibit 3-1, a depiction of job redesign constructs, is provided in Slide 2-13. A conceptual scheme is the interrelationship between concepts and constructs. An operational definition defines a variable in terms of specific measurement and testing criteria. An example of an operational definition is provided in Slide 2-14. A variable is used as a synonym for the construct being studied. Slides 2-15 through 2-20 expand on different types of variables. A proposition is a statement about observable phenomena that may be judged as true or false. (Slide 2-21) A hypothesis is a proposition formulated for empirical testing. (Slides 2-22 through 2-25) A theory is a set of systematically interrelated concepts, definitions, and propositions that are advanced to explain or predict phenomena. Slide 2-26 shows an example of a theory. A model is a representation of a system constructed to study some aspect of that system. Slide 2-27 shows an example of a model.
We must attempt to measure concepts in a clear manner that others can understand. If concepts are not clearly conceptualized and measured, we will receive confusing answers.
Exhibit 3-1 Exhibit 3-1 illustrates some of the concepts and constructs relevant to job redesign. The concepts at the bottom of the exhibit (format accuracy, manuscript errors, and keyboarding speed) are the most concrete and easily measured. Keyboarding speed is one just concept in the group that defines a construct that the human resource analyst calls Presentation Quality . It is not directly observable like keyboarding speed. It is a term used to communicate (a label) the combination of meanings presented by the three concepts. Concepts at the next level are vocabulary, syntax, and spelling. As they are related, the analyst groups them into a construct she calls language skill . Language skills is placed at a higher level of abstraction in the exhibit because two of the concepts that comprise it, vocabulary and syntax, are more difficult to observe and measure. The construct of job interest is not yet measured nor are its components specified. Researchers often refer to such constructs as hypothetical constructs because they are inferred only from the data—they are presumed to exist but no measure tests whether such constructs actually exist. If research shows the concepts and constructs in this example to be interrelated, and if the connections can be supported, then the analyst has the beginning of a conceptual scheme. One exercise you can try is to have students attempt to identify the concepts/constructs in the hypothetical construct…job interest, and discuss which elements are truly measurable…and how.
Operational definitions are definitions stated in terms of specific criteria for testing or measurement. The specifications must be so clear that any competent person using them would classify the objects in the same way. If a study of college students required classifying students by class level, a definition of each category would be necessary. Students could be grouped by class level based on self-report, number of years in school, or number of credit hours completed. Credit hours is the most precise measure.
In practice, the term variable is used as a synonym for the property being studied . In this context, a variable is a symbol of an event, act, characteristic, trait, or attribute that can be measured and to which we assign categorical values. The different types of variables are presented on the following slides.
For the purposes of data entry and analysis, we assign numerical values to a variable based on that variable’s properties. Dichotomous variables have only two values that reflect the absence or presence of a property. Variables also take on values representing added categories such as demographic variables. All such variables are said to be discrete since only certain values are possible. Continuous variables take on values within a given range or, in some cases, an infinite set.
Exhibit 3-2 Exhibit 3-2 presents the commonly used synonyms for independent and dependent variables. An independent variable is the variable manipulated by the researcher to cause an effect on the dependent variable. The dependent variable is the variable expected to be affected by the manipulation of an independent variable.
Moderating variables are variables that are believed to have a significant contributory or contingent effect on the originally stated IV-DV relationship. Whether a variable is treated as an independent or as a moderating variable depends on the hypothesis. Examples of moderating variables are shown in the slide.
Extraneous variables are variables that could conceivably affect a given relationship. Some can be treated as independent or moderating variables or assumed or excluded from the study. If an extraneous variable might confound the study, the extraneous variable may be introduced as a control variable to help interpret the relationship between variables. Examples are given in the slide.
An intervening variable (IVV) is a factor that affects the observed phenomenon but cannot be measured or manipulated. It is a conceptual mechanism through which the IV and MV might affect the DV.
A proposition is a statement about observable phenomena that may be judged as true or false. A hypothesis is a proposition formulated for empirical testing. A case is the entity or thing the hypothesis talks about. When the hypothesis is based on more than one case, it would be a generalization. Examples are provided in the slide.
A descriptive hypothesis is a statement about the existence, size, form, or distribution of a variable. Researchers often use a research question rather than a descriptive hypothesis. Examples are provided in the slide. Either format is acceptable, but the descriptive hypothesis has three advantages over the research question. Descriptive hypotheses encourage researchers to crystallize their thinking about the likely relationships. Descriptive hypotheses encourage researchers to think about the implications of a supported or rejected finding. Descriptive hypotheses are useful for testing statistical significance.
A relational hypothesis is a statement about the relationship between two variables with respect to some case. Relational hypotheses may be correlational or explanatory (causal). A correlational hypothesis is a statement indicating that variables occur together in some specified manner without implying that one causes the other. A causal hypothesis is a statement that describes a relationship between two variables in which one variable leads to a specified effect on the other variable.
This slide presents the functions served by hypotheses.
The conditions for developing a strong hypothesis are more fully developed in Exhibit 3-4.
Exhibit 3-5 What is the difference between theories and hypotheses? Theories tend to be complex, abstract, and involve multiple variables. Hypotheses tend to be simple, limited-variable statements involving concrete instances. A theory is a set of systematically interrelated concepts, definitions, and propositions that are advanced to explain or predict phenomena. To the degree that our theories are sound and fit the situation, we are successful in our explanations and predictions. The product life cycle, shown in Exhibit 3-5, is an example of a theory.
Exhibit 3-7: Business models are developed through the use of inductive and deductive reasoning. As illustrated in Exhibit 3-7, a business model may originate from empirical observations about market behavior based on researched facts and relationships among variables. Inductive reasoning allows the modeler to draw conclusions from the facts or evidence in planning the dynamics of the model. The modeler may also use existing theory, managerial experience or judgment, or facts.
Exhibit 3-6 A model is a representation of a system constructed to study some aspect of that system or the system as a whole. Models versus Theories a model’s role is to represent or describe A theory’s role is to explain . Models in business research may be descriptive, predictive, and normative. Descriptive models are used for complex systems because they allow for the visualization of numerous variables and relationships. Predictive models forecast future events and facilitate business planning. Normative models are used for control, because they indicate necessary actions. Exhibit 3-6, shown in the slide, is a distribution network model called a maximum flow model used in management science. In this example, a European manufacturer of automobiles needs an increased flow of shipping to its Los Angeles distribution center to meet demand. However the primary distribution channel is saturated and alternatives must be sought. Models allow researchers to specify hypotheses that characterize present or future conditions: the effect of advertising on consumer awareness or intention to purchase, brand switching behavior, an employee training program, or other aspects of business.
Good business research is based on sound reasoning because reasoning is essential for producing scientific results. This slide introduces the scientific method and its essential tenets. The scientific method guides our approach to problem-solving. An important term in the list is empirical . Empirical testing denotes observations and propositions based on sensory experiences and/or derived from such experience by methods of inductive logic, including mathematics and statistics. Researchers using this approach attempt to describe, explain, and make predictions by relying on information gained through observation. The scientific method is described as a puzzle-solving activity.
The steps followed by business researchers to approach a problem are presented in the slide.
This ad from Synovate reinforces the notion that researchers must be curious. Students can see the Synovate website at www.synovate.com.
Exposition consists of statements that describe without attempting to explain. Argument allows us to explain, interpret, defend, challenge, and explore meaning. There are two types of argument: deduction and induction. Deduction is a form of reasoning in which the conclusion must necessarily follow from the premises given. The next slide provides an example of a deductive argument. Induction is a form of reasoning that draws a conclusion from one or more particular facts or pieces of evidence. Slide 2-8 illustrates an inductive argument.
This slide provides an example of a deductive argument.
This slide provides an example of an inductive argument.
Exhibit 3-8 Induction and deduction can be used together in research reasoning. Induction occurs when we observe a fact and ask, “Why is this?” In answer to this question, we advance a tentative explanation or hypothesis. The hypothesis is plausible if it explains the event or condition (fact) that prompted the question. Deduction is the process by which we test whether the hypothesis is capable of explaining the fact. Exhibit 3-8 illustrates this process.