Data Collection Method

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Business Research Process 4

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Planning Research Strategies & Research Designs

Motivation

-Research Problem

-Research Objectives

- Theoretical Framework

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360 DEGRE

EOF RM theoretical perspective conceptual framework taxonomy adhoc reality concept dimensions

Conceptual definition proposition hypothesis

Quantify one\two tail test type I & type II error statement, testable theory deductive variables

Probability srs/sys/strat/clus sampling

Longitudinal model types inductive

Case study

Cross section

Survey

Experimental

Exploratory

Qual.

Scientific method

Descriptive

Causal limitations

Quant.

Types of research

New inquiry\further research

Suggestions implications Findings conclusion

Uni \ Bi \ Multivariate

Data analysis

& statistical test

Scale of measurement

Objective of study

Sample nature

Sample number

Sample size

Number of I/V & D/V

Inter-item reliability

Review of literature

Motivation

Research

Problem

Objective

Goodness of data

Alpha=Nρ/[1+ ρ(N-1)]

Split halves

Test-retest

Parallel form sampling

Non probability sampling frame sample size population judg/conv/quo

(Z*Sd/E) 2

(p*q)z 2 /E 2

Standard error σ/√n

(Pop. mean)

Measurement

Of scale

Nominal ordinal nonmetric

Interval ratio metric secondary

Operational definition validity

Collection of data content construct criterion predictive discriminate convergent concurrent primary

Questionnaire

Observation

Focus group

Projective techq.

Journals

Magazine

Govt. updates

Bulletins monograph

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Two Broad Categories of Research

• 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?

• Purposiveness

The research proceeds with a definite objective and a clear purpose

• Rigor

Has strong theoretical grounds, clearly defined framework and a sound methodological design

• Testability

The study is able to arrive at testable hypotheses that have been logically developed.

• Replicability

Research results supported and consistent when the study is repeated in other similar circumstances

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What is a Good Scientific Research?

• Precision

Closeness of findings to reality

• Confidence

Probability that estimations arising from the research findings are correct

• Objectivity

Conclusions drawn are based on facts resulting from the actual data whose measurements are valid and reliable

• Generalizability

The scope of applicability of the research findings in one settings to other settings, i.e. ability to draw similar conclusion to the population

• Parsimony

Simple in explaining phenomena or problems that occur, and in the application of solutions to problems

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Research Process

Adopted from Sekaran (2003)

OBSERVATION

Broad area of research interest identified

PROBLEM

DEFINITION

Research problem delineated

THEORETICAL

FRAMEWORK

Variables clearly identified and labeled

PRELIMINARY DATA

GATHERING

Interviewing &

Literature Survey

DEDUCTION

Hypotheses substantiated?

Research questions answered

HYPOTHESES

GENERATION

SCIENTIFIC

RESEARCH

DESIGN

DATA COLLECTION,

ANALYSIS AND

INTERPRETATION

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PROBLEM DEFINITION

• 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

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

• 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

• 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?

• 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?

• 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?

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

• 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

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

• 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

• 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

• The Moderating variable is one that has a strong contingent effect on the independent variabledependent 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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Dichotomous

Discrete

Continuous

Types of Variables

Male/Female

Employed/ Unemployed

Ethnic background

Educational level

Religious affiliation

Income

Temperature

Age

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Exhibit 2-4 Independent and Dependent Variables

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)

• 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)

• 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)

• 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

A logically conjectured relationship between two or more variables expressed in the form of testable statements

Testing of a hypothesis and establishing an assumed relationship enable one to solve a

problem.

Format 1: Difference

Format 2: If-Then

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Examples of Hypotheses

If there is good communication among cockpit crew, then there is less air-traffic violation.

If the pilots are given adequate training to handle midair crowded situations, air-safety violations will be reduced

Training has an interaction effect on the relationship between communication among cockpit crew and air-traffic violation

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Null and Alternative Hypotheses

• 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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Sustainability of Malaysian Transportation

Economic

- Economic growth

- Profitable return in Public bus

Transport

- Optimal utilization rate

Social

- Less accident rate

- Increase quality of life

Environmental

- Better and healthier environment

- Reduction in private car usage

- Less air pollution

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A GENDA

§ 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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I NTRODUCTION

Deficiencies of public bus transport (PBT) services

High dependency on private transport

Traffic congestion, accidents, casualties, air pollution

Underutilization of

PBT service

Sustainability of transport system

& Quality of life

(Steg & Gifford, 2005)

▪ 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)

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P ROBLEM S TATEMENT

§ 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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R ESEARCH O BJECTIVES & Q UESTIONS

Introduction

To determine the best preferred combination(s) of public bus transport (PBT) service rated by the commuters and non-commuters in

Malaysia.

What is 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 noncommuters.

What is 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 influence of social demographic factors on the perceived utilization of PBT service?

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S IGNIFICANCE OF THE S TUDY

Introduction

§ Provide a better understanding on the perceived utilization of PBT service of Malaysian citizens

§ Relevant to the 6 th 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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L ITERATURE R EVIEW

Category

Public Transport (PT) Dargay et al. (2007); Sanchez (2008); Steg (2003).

Service Drivers

Reliability of

Schedule (ROS)

Safety and Comfort

(SAC)

Information Service

(IFS)

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).

Liu & Shen (2007); Liu et al. (2007); Palma & Lindsey (2001) ; Rűetschi (2007);

Yan & Chen (2002); Yan et al. (2006); Zolfaghari et al. (2004).

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).

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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T HEORY OF R EASONED A CTION (TRA)

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

Different

Service Drivers considerations

Subjective norm

Perceived

Utilization of

PBT Service

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Source: Ajzen and Fishbein (1980)

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C ONCEPTUAL M ODEL

PBT service

Reliability of schedule (ROS):

1.Exact time (ET)

2.Approximate time (AT)

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)

Ticket pricing (TKP):

1.Flat (F)

2.Varying (V)

Analysis:

Descriptive &

Multidimensional

Scaling (MDS)

Full factorial design

(conjoint profiles)

= 2 * 2 * 2 * 2 * 2 = 32

Perceived utilization of

PBT service

(PU * )

Note: * perceived direct utilization (PUD), perceived indirect utilization (PUID), perceived recommendation (PUR)

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T HEORETICAL F RAMEWORK

Independent variables

Introduction

PBT service drivers:

H1

Reliability of schedule (ROS)

H2

Safety and comfort (SAC)

H3

Information service (IFS)

H4

Season ticket (STK)

H5

Ticket pricing (TKP)

Analysis:

Independent samples ttest, chi-square test, twogroup discriminant analysis

Dependent variable

Perceived utilization of

PBT service

(PU * )

Demographic profiles:

Gender

Age

Monthly salary

Possession of own vehicle

Commuter/non-commuter

H6

Note: * perceived direct utilization (PUD), perceived indirect utilization (PUID), perceived recommendation (PUR)

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H YPOTHESES

H1

Introduction

Reliability of schedule (ROS) is

There is relationship between positively influencing the

H6a perceived utilization of PBT gender and the perceived utilization of PBT service.

service.

H2

H3

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.

H6b

H6c

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.

H4

H5

Season ticket (STK) is positively influencing the perceived utilization of PBT service.

Ticket pricing (TKP) is positively influencing the perceived utilization of PBT service.

H6d

H6e

There is relationship between the possession of private vehicle and the perceived utilization of PBT service.

There is relationship between the status of commuter/noncommuter and the perceived utilization of PBT service.

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M ETHODOLOGY

Research Design

• Quantitative

• Exploratory Study

• Cross-sectional Design Information

Gathering

Desk Research /

Literature Review

Email to

Government

Authorities

Interview with

Expert from

Rapid Penang

Focus Group

Opinion Survey

Observation

Construct

Reliability of schedule (ROS)

Safety and comfort (SAC)

Information service (IFS)

Season ticket (STK)

Ticket pricing (TKP)

Number of

Items

7

8

7

5

6

Online Survey

(English + Malay)

Face Validation by Rapid Penang

Pilot Study (30 respondents)

Empirical Survey

(17 days)

Personal Structured

Interview (Rapid

Penang bus terminal)

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)

Penang Residents

(Commuters + Noncommuters

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

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Research Framework

Purchase characteristics of VDS

Product category

Brand image

Store image

Scheme characteristics

Message framing

Subjective norms

Consumer internal evaluation of benefits

Perceived savings

Perceived quality

Perceived selfexpression

Perceived convenience

Intention to purchase products on volume discount

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