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3. RESEARCH DESIGN
3.1 Introduction
The previous chapter has discussed the relevant literature, along with the
theoretical framework and the hypotheses. This chapter will explain the research
design. A research design is “a blueprint or plan for the collection, measurement,
and analysis of data, created to answer your research questions” (Sekaran & Bougie,
2016, p. 95). In this research, the research design will explain the foundation of the
research, the description of the variables, and the description of the data collection
as well as the method of analysis.
3.2 Foundations of Research
The foundations of research are known as the principle of the research
(Bryman, 2012). This section will discuss the foundations of the research, which
consist of the researcher’s philosophical stance, the research methodology and
methods, and the ethical standard of the research.
3.2.1 Philosophical Stance
Saunders, Lewis, and Thornhill (2009) state that philosophical stance relates
to the development of knowledge and the nature of knowledge. The foundation of
philosophy in research has two philosophical stances, which are ontology and
epistemology (Sekaran & Bougie, 2016). These two considerations will be defined
in Table 3.1. Regarding the research question, this research will follow objectivism
research doctrine as the ontological position, and positivism research doctrine as
the epistemological position. Therefore, this research will adopt a quantitative
approach.
Table 3.1 Philosophical Stances
Philosophical Stances Philosophy of Research
Ontology Objectivism: Social phenomena have existed as
The understanding of nature in social independent social actors beyond control or
entities. influence.
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Table 3.1 Philosophical Stances (continued)
Constructionism: Social actors are continually
accomplishing social phenomena and its meanings.
Positivist: A knowledge that advocates the
Epistemology application of natural science methods to the study
The understanding of what is regarded as of social reality.
adequate knowledge. Interpretivist: A knowledge that requires the
researcher to grasp the subjective meaning of social
action.
Source: Bryman (2012)
3.2.2 Methodology and Method
Saunders, Lewis, and Thornhill (2009) define research methodology as the
theory of how research should be undertaken. However, research methodology is
completely different from the research method, which is known as a selected
technique and procedure to obtain and analyze data (Saunders, Lewis, & Thornhill,
2009).
In this research, the researcher will use a survey as the research methodology.
Fink (2003) defines survey as a “system of collecting information from or about
people to describe, compare, or explain their knowledge, attitudes, and behavior.”
(in Sekaran & Bougie, 2016, p. 97). On the other hand, the research method that is
used to collect the data involves distributing self-administered questionnaires.
Bryman (2012) defines a self-administered questionnaire as a set of questions that
the respondent answers without the aid of an interviewer. Therefore, the research
instrument used is a questionnaire distributed to the respondent who continuously
uses OVO.
For the data processing method, the researcher will use multiple linear
regression analysis. The explanation of multiple linear regression will be discussed
in the analytical procedures subsection.
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3.2.3 Research Ethics
According to Cooper and Schindler (2014), ethics is known as “norms or
standards of behavior that guide moral choice about our behavior and our
relationship with others.” (p. 28). Furthermore, Cooper and Schindler (2014) state
that the goal of ethics in conducting research is to ensure that no one is getting
offended or harmed upon the consequences of research activities.
Diener and Crandall (1978) stated that there are four ethical principles, which
will be explained in Table 3.2 (in Bryman, 2012, p. 135).
Table 3.2. The Researcher’s Ethical Principles
Elements Explanation How will the researcher comply with
ethical standards?
Protection from A preventive action that should The researcher will not threaten the
Harm be conducted to avoid harming respondents to answer the questionnaire
the participant without their agreement.
Respondents must be provided The researcher will inform the
Informed with as much information need respondents to about the research
consent to decide whether they want to question, objective, and process of the
be involved in the research or research in the questionnaire.
not.
Anonymity means that the The researcher will ensure the
identity of the respondents confidentiality of given information by
Anonymity and should be protected, while not forcing them to reveal their identity
Confidentiality confidentiality means the when they are filling the questionnaire.
researcher need to protect the
research data.
Deception occurs when the The researcher assures that this research
No Deception researcher represents other’s has been made honestly and authentically.
works.
Source: Bryman (2012)
3.3 Description of Variables
The previous chapter has explained the conceptual definition of variables.
These variables will be operationalized in this section. Cooper and Schindler (2014)
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define operationalization as “a term we used earlier in discussing how concepts are
transformed into variables to make them measurable and subject to testing” (p. 195).
The variables that will be operationalized are independent and dependent
variables. The independent variable is known as “the one that influences the
dependent variable in either a positive or negative way.” (Sekaran & Bougie, 2016,
p. 97), while the dependent variable is known for the primary interest of the
researcher (Sekaran & Bougie, 2016). In this research, there are seven independent
variables, which are perceived usefulness, perceived ease of use, social influence,
facilitating condition, price value, perceived technology security, and personal
innovativeness, while the dependent variable is the continuance intention on
technology use.
3.3.1 Performance Expectancy
The first independent variable, which is performance expectancy, is based on
the user’s perceived usefulness in using the technology (Venkatesh, Morris, Davis,
& Davis, 2003). The operationalization of this variable will be broken down into
several items in Table 3.3.
Table 3.3. Performance Expectancy Operationalization
Dimensions Parameter
Performance Expectancy: Evaluates PE1: Using OVO enables me to pay quickly
whether the m-payment service is capable PE2: Using OVO is the efficient way to do
of providing efficiency and increasing payment
productivity for the current users. PE3: Using OVO is very useful for my daily life
Source: Teng, Ling, & Seng (2018); Venkatesh Thong, & Xu (2012)
3.3.2 Effort Expectancy
The second independent variable, which is effort expectancy, is based on the
users’ perceived of ease of using the provided technology (Venkatesh, Morris,
Davis, & Davis, 2003). The operationalization of this variable is explained in Table
3.5
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