4-1 business research process 4. 4-2 2 -motivation -research problem -research objectives -...
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4-1
Business Research Process 4
4-2 2
-Motivation
-Research Problem
-Research Objectives
- Theoretical Framework
2
Planning Research Strategies & Research Designs
4-3 3
Types of research
Scientific method
Review ofliterature
sampling
MeasurementOf scale
Collection ofdata
Goodness of data
Data analysis& statisticaltest
MotivationResearch Problem Objective
Qual.
Quant.
Exploratory
DescriptiveCausal
Case study
SurveyExperimental
Longitudinal
Crosssection
concept
dimensions
variables
proposition
hypothesistheory
inductive
deductive
one\two tail test
type I & type II error
model
theoretical perspective
conceptualframework
taxonomy
adhocstatement, testable
types
population
sampling frame samplesize
Standard error σ/√n(Pop. mean)
Probability
Non probability
(Z*Sd/E)2
(p*q)z2/E2
Nominalordinal
Intervalratio
nonmetric
metric
reality
primary
secondary
QuestionnaireObservationFocus groupProjective techq.
JournalsMagazineGovt. updatesBulletinsmonograph
srs/sys/strat/clussampling
judg/conv/quoTime fa
ctor
validity
reliability
Test-retest
Parallel formSplit halves
Inter-itemScale of measurementObjective of studySample natureSample numberSample size
Number of I/V & D/V
Findings
limitations
Suggestions implications
conclusion
New inquiry\further research
content
criterionconstruct
discriminate
convergent
predictive
concurrent
Alpha=Nρ/[1+ ρ(N-1)]
Conceptual definition
Operationaldefinition
Quantify
Uni \ Bi \ Multivariate
360 DEGRE EOF RM
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Two Broad Categories of Research
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• Applied Research: Research done with the aim of using the results of its finding to solve specific real-life problems currently being experienced in the organization.
• Basic Research: Also referred to as pure research, done with the aim to generate more knowledge in order to enhance understanding of certain phenomena. The research outcome may not have immediate application, instead it enables the researcher to develop theories based on the research results.
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What is a Good Scientific Research?
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• PurposivenessThe research proceeds with a definite objective and a clear purpose
• RigorHas strong theoretical grounds, clearly defined framework and a sound methodological design
• TestabilityThe study is able to arrive at testable hypotheses that have been logically developed.
• ReplicabilityResearch results supported and consistent when the study is repeated in other similar circumstances
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What is a Good Scientific Research?
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• PrecisionCloseness of findings to reality
• ConfidenceProbability that estimations arising from the research findings are correct
• ObjectivityConclusions drawn are based on facts resulting from the actual data whose measurements are valid and reliable
• GeneralizabilityThe scope of applicability of the research findings in one settings to other settings, i.e. ability to draw similar conclusion to the population
• ParsimonySimple in explaining phenomena or problems that occur, and in the application of solutions to problems
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Research ProcessAdopted from Sekaran (2003)
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OBSERVATION
Broad area of research interest
identifiedPROBLEM
DEFINITION
Research problem
delineated
PRELIMINARY DATA GATHERING
Interviewing & Literature Survey
THEORETICAL FRAMEWORK
Variables clearly identified and
labeled
HYPOTHESES GENERATION
DATA COLLECTION, ANALYSIS AND
INTERPRETATION
DEDUCTION
Hypotheses substantiated?
Research questions answered
SCIENTIFICRESEARCH
DESIGN
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PROBLEM DEFINITION
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• The adage “a problem well defined is a problem half solved”
• The identification of a specific (business decision) area that will be clarified by answering some research questions
• “Begin with the end in mind”
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Examples of Problem Definitions
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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?
Do the income statement and the balance sheet elicit the same kind of reader reactions toward the company as the cash flow statement?
What are the effects of downsizing on the long-range growth patterns of companies?
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Relationship between Literature Review and Problem Statement
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• What is problem statement?• Something researcher has an interest/ real
problem/or filling gaps about phenomenon.• A phenomenon – for example, management
accounting systems (MAS) and how it can enhance managerial performance. Two concepts – are MAS & Managerial performance.
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Relationship between Literature Review and Problem Statement
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• Stated in a statement:• How the design of management accounting
systems (timeliness, integration, broad scope and aggregation) can enhance managerial performance?
• Alternatively:• Interested to know why there are differences in
managers’ performance in manufacturing companies? Our focus now is on the performance of managers. Your interest to investigate how MAS can explain the differences in managerial performance.
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What are the concepts need to be discussed in literature review?
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• The concept of MAS with four dimensions, namely timeliness, broad scope, aggregation and integration
• Managerial performance – specifically, what performance are you looking at.
• Perhaps: Moderator if any.
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What is a review of the literature?
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• As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your argumentative thesis).
• It is not just a descriptive list of the material available, or a set of summaries.
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What you gain from literature review?
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• Information seeking: the ability to scan the literature efficiently, using manual or computerized methods, to identify a set of useful articles and books
• Critical appraisal: the ability to apply principles of analysis to identify unbiased and valid studies
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A literature review must do these things
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• be organized around and related directly to the thesis or research question you are developing
• synthesize results into a summary of what is and is not known – a-state-of-the-art
• identify areas of controversy in the literature
• formulate questions that need further research
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Theoretical Framework
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A conceptual model of how one theorizes the relationships among the several factors that have been identified as important to the problem
Helps us to postulate and test certain relationships so as to improve our understanding of the dynamics of the situation
Network of relationships among the variables considered important to the study
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Theoretical Framework Basic features
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• Variables clearly identified• Theorizing and discussion on important
relationships among variables• Direction of relationships• Clear explanation of reasons for relationships• A schematic diagram
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VARIABLES
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• A Variable is anything that can take on differing or varying values. (e.g., length of service, performance, size)
• The Dependent variable is the variable of primary interest. The goal is to understand (explain and predict) the DV. (e.g., performance, motivation)
• An Independent variable is one that influences the dependent variable in either a positive or a negative way. (e.g., usage, participation)
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VARIABLES
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• The Moderating variable is one that has a strong contingent effect on the independent variable-dependent relationship. (e.g., size and the relationship between usage and performance)
• An intervening variable is one that surfaces between the time the independent variables operate to influence the dependent variable and their impact on the dependent variable. (e.g., participation is associated with effectiveness because the former leads to commitment)
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Types of Variables
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DichotomousDichotomousMale/Female
Employed/ UnemployedMale/Female
Employed/ Unemployed
DiscreteDiscreteEthnic backgroundEducational level
Religious affiliation
Ethnic backgroundEducational level
Religious affiliation
ContinuousContinuousIncome
TemperatureAge
IncomeTemperature
Age
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Exhibit 2-4 Independent and Dependent Variables
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Independent Variable (IV)
• Predictor• Presumed cause• Stimulus• Predicted from…• Antecedent• Manipulated
Dependent Variable (DV)
• Criterion• Presumed effect• Response• Predicted to….• Consequence• Measured outcome
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Moderating Variables (MV)
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• The switch to commission from a salary compensation system (IV) will lead to increased sales productivity (DV) per worker, especially among younger 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).
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Extraneous Variables (EV)
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• 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).
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Intervening Variables (IVV)
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• The switch to a commission compensation system (IV) will lead to higher sales productivity (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).
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Hypotheses Generation
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A logically conjectured relationship between two or more variables expressed in the form of testable statements
Format 1: Difference
Testing of a hypothesis and establishing an assumed relationship enable one to solve a problem.
Format 2: If-Then
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Examples of Hypotheses
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If there is good communication among cockpit crew, then there is less air-traffic violation.
Training has an interaction effect on the relationship between communication among cockpit crew and air-traffic violation
If the pilots are given adequate training to handle midair crowded situations, air-safety violations will be reduced
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Null and Alternative Hypotheses
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• Null hypothesis is a proposition that states a definitive, exact relationship between two variables
• Null hypothesis is formulated so that it can be tested for possible rejection
• If the null hypothesis is rejected …..? Our faith on the alternative hypothesis is based on theory
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Is bus underutilization a major issue? A conceptual model for assessment and evaluation:
Empirical evidence for Malaysia transport sustainability
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Sustainability of Malaysian Transportation
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Economic- Economic growth- Profitable return in Public bus Transport - Optimal utilization rate
Environmental- Better and healthier environment - Reduction in private car usage- Less air pollution
Social- Less accident rate- Increase quality of life
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AGENDA§ Introduction § Problem Statement§ Research Objectives & Questions§ Significance of the Study§ Literature Review§ Theory of Reasoned Action§ Conceptual Model & Theoretical Framework§ Hypotheses§ Methodology§ Profile of Respondents§ SPSS Analysis and Results§ Summary of Significant Findings§ Discussion§ Implications§ Limitations & Future Research§ Conclusion§ References
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INTRODUCTION
▪ 6th National Key Result Areas (NKRAs) - ↑ PT users from 16% to 25% by 2012 (The Star, 2009d)▪ Budget 2009 (2009 - 2014) - RM 35 billion (Bernama, 2008)▪ 9th Malaysia Plan (2006 - 2010) - RM 31.8 billion (Government of Malaysia, 2006)▪ Establishment of RapidKL (2004) and Rapid Penang (2007)
Traffic congestion, accidents,
casualties, air pollution
High dependency on private transport
Under-utilization of PBT service
Deficiencies of public bus transport (PBT) services
Sustainability of transport system & Quality of life (Steg & Gifford, 2005)
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PROBLEM STATEMENT§ Poor utilization rate and resistance of public to utilize PBT services
• PT users in Malaysia = 16% (The Star, 2009d)• PT users in KL = 19.7% (Kuala Lumpur City Hall, 2004)• PT users in Penang = 10% (Mok, 2009)
This study therefore is to investigate and conceptualize the perceived utilization of PBT service among commuters and non-commuters in Malaysia
Perceived utilization • “is assumed to be an exponentially weighted average of past utilization” (Repenning, 1990, p. 23)• the degree to which commuters or non-commuters believe that they will utilize the PBT service based on their perception on and preference of the rendered services if their needs and expectations are fulfilled.
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Introduction
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RESEARCH OBJECTIVES & QUESTIONS
To determine the best preferred combination(s) of public bus transport (PBT) service rated by the commuters and non-commuters in Malaysia.
To investigate the PBT service drivers influencing the perceived utilization of commuters and non-commuters.
To study the influence of social demographic factors on the perceived utilization of PBT service.
What is the best preferred combination(s) of public bus transport (PBT) service rated by the commuters and non-commuters in Malaysia?
What is the PBT service drivers influencing the perceived utilization of commuters and non-commuters?
What is the influence of social demographic factors on the perceived utilization of PBT service?
Objectives Questions
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Introduction
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SIGNIFICANCE OF THE STUDY
§ Provide a better understanding on the perceived utilization of PBT service of Malaysian citizens§ Relevant to the 6th NKRA§ Improve PBT service in Malaysia to
• increase utilization, profit in PBT sector• reduce traffic congestion, accidents, air pollution• improve economic growth & quality of life• ensure sustenance (viability) of PBT
§ A customizable conceptual model§ Value of the study indicated by
• the Ministry of Transport, Malaysia sought permission to use the questionnaires
• positive feedback from Rapid Penang
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Introduction
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LITERATURE REVIEWCategory Literature Review / Desk Research
Public Transport (PT) Dargay et al. (2007); Sanchez (2008); Steg (2003).
Service Drivers Andaleeb et al. (2007); Ang et al. (2006); Kamba et al. (2007); Kasipillai & Chan (2008); Mohamad & Kiggundu (2007); Nor et al. (2006); Nurdden et al. (2007); Paulley et al. (2006); Sheikh et al. (2006).
Reliability of Schedule (ROS)
Liu & Shen (2007); Liu et al. (2007); Palma & Lindsey (2001); Rűetschi (2007); Yan & Chen (2002); Yan et al. (2006); Zolfaghari et al. (2004).
Safety and Comfort (SAC)
Brenac & Clabaux (2005); Shek & Chan (2008); Wåhlberg (2002, 2004); Wong et al. (2008); Act 333 (1987); Act 685 (2008); Malaysia Institute of Road Safety Research (2009); The Malaysian Road Transport Department (2007); UNECE (2000-2008).
Information Service (IFS)
Dziekan & Kottenhoff (2007); Grotenhuis et al. (2007); Khattak et al. (2003); Molin & Timmermans (2006); Neuherz et al. (2000); Polydoropoulou et al. (1997); Wolinetz et al. (2001); Vance & Balcombe (1997).
Season Ticket (STK) FitzRoy & Smith (1998); FitzRoy & Smith (1999); Ruiz (2004).
Ticket Pricing (TKP) Litman (2004); Nurdden et al. (2007); Paulley et al. (2006); Schade & Schlag (2003); Schlag & Teubel (1997); Sheikh et al. (2006).
Sustainability Goldman & Gorham (2006); Gudmundsson & Höjer (1996); Robinson (2004); Steg & Gifford (2005); EMW (2010); UN (2005); UNECE Transport (2000-2008); WCED (1987).
Theory of Reasoned Action (TRA)
Ajzen (1985); Davis (1989); Fishbein & Ajzen (1975); Heath & Gifford (2002); Icek Ajzen & Fishbein (1980); Ivancevich et al. (2008); Trice & Treacy (1986).
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THEORY OF REASONED ACTION (TRA)
Attitude toward the behavior
Subjective norm
Intention Behavior
The person’s beliefs that the behavior leads to certain outcomes and his evaluation of these outcomes
The person’s beliefs that specific individuals or groups think he should or should not perform the behavior and his motivation to comply with the specific referents
Relative importance of attitudinal and normative considerations
Source: Ajzen and Fishbein (1980)
Perceived Utilization of PBT Service
Different Service Drivers
Attitude toward the behavior
Intention Behavior
The person’s beliefs that the behavior leads to certain outcomes and his evaluation of these outcomes
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CONCEPTUAL MODELReliability of schedule (ROS):1.Exact time (ET)2.Approximate time (AT)
Perceived utilization of PBT service
(PU*)
Ticket pricing (TKP):1.Flat (F)2.Varying (V)
Safety and comfort (SAC):1.Utmost priority (UP)2.Moderate priority (MP)
Information service (IFS):1.Full information (FI)2.Moderate information (MI)
Season ticket (STK):1.Season ticket (ST)2.Regular ticket (RT)
PBT service
Note: * perceived direct utilization (PUD), perceived indirect utilization (PUID), perceived recommendation (PUR)
Analysis: Descriptive & Multidimensional Scaling (MDS)Full factorial design (conjoint profiles) = 2 * 2 * 2 * 2 * 2 = 32
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Introduction
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THEORETICAL FRAMEWORK
Perceived utilization of PBT service
(PU*)
PBT service drivers:
Information service (IFS)
Season ticket (STK)
Safety and comfort (SAC)
Reliability of schedule (ROS)
Ticket pricing (TKP)
GenderAgeMonthly salaryPossession of own vehicleCommuter/non-commuter
Independent variables
Dependent variable
Demographic profiles:
H1
H2
H3
H4
H5
H6
Note: * perceived direct utilization (PUD), perceived indirect utilization (PUID), perceived recommendation (PUR)
Analysis: Independent samples t-test, chi-square test, two-group discriminant analysis
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Introduction
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HYPOTHESESReliability of schedule (ROS) is positively influencing the perceived utilization of PBT service.
Safety and comfort (SAC) is positively influencing the perceived utilization of PBT service.
Information service (IFS) is positively influencing the perceived utilization of PBT service.
Season ticket (STK) is positively influencing the perceived utilization of PBT service.
Ticket pricing (TKP) is positively influencing the perceived utilization of PBT service.
There is relationship between gender and the perceived utilization of PBT service.
There is relationship between age and the perceived utilization of PBT service.
There is relationship between monthly salary and the perceived utilization of PBT service.
There is relationship between the possession of private vehicle and the perceived utilization of PBT service.
There is relationship between the status of commuter/non-commuter and the perceived utilization of PBT service.
H1
H2
H3
H4
H5
H6a
H6b
H6c
H6d
H6e
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Construct Number of Items
Reliability of schedule (ROS) 7
Safety and comfort (SAC) 8
Information service (IFS) 7
Season ticket (STK) 5
Ticket pricing (TKP) 6
METHODOLOGY Research Design• Quantitative• Exploratory Study• Cross-sectional Design
Questionnaire Design:• Conjoint Profile (Select 3 from 11 combinations)• Direct measurement of service drivers’ importance (5-point Likert scales)• Categorical Scale for Perceived Utilization (PUD, PUID, PUR)
Information Gathering
Desk Research / Literature Review
Email to Government Authorities
Interview with Expert from
Rapid Penang
Focus Group Opinion Survey
Observation
Face Validation by Rapid Penang
Pilot Study (30 respondents)
Empirical Survey (17 days)
Online Survey (English + Malay)
Personal Structured Interview (Rapid
Penang bus terminal)
Penang Residents (Commuters + Non-
commuters
Convenience & Purposive Sampling
(N= 195)
SPSS Data Analysis
Factor Analysis & Reliability
Analysis
Descriptive Statistics
Pearson Correlation
Analysis
Multidimensional Scaling
Independent Samples t-test Chi-square Test
Two-group Discriminant
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Suggestions from Respondents
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Consumer reflections on the usage of plastic bags to parcel hot edible items: An empirical study in Malaysia-Framework
4242
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Consumer internal evaluation of
benefits
Purchase characteristics of VDS
Product category
Brand image
Store image
Scheme characteristics
Subjective norms
Message framing Perceived self-
expression
Perceived convenience
Perceived quality
Perceived savings
Intention to
purchase products
on volume discount
Research Framework