2. Study vs. Research
Knowledge
Time
Study
Uptake of available
(preexistence) knowledge
Research
Production
of new knowledge
Individual
Collective
Doing good research requires
an adequate knowledge
about the subject matter.
The review of the relevant
scientific literature is a
necessary preparation.
5. Research structure
Problem statement and
justification
Analysis
Literature review
Theoretical background
(& hypothesis backup)
Methodology (design,
technique, procedures, etc.)
Conclusion
6. Problem statement
• Explanation of the problem or gap identified
• Requires (almost) a complete understanding of the topic
• Requires precision, clarity and order
• Information with solid, trustworthy references
• Like a story, must guide naturally to the problem or objective
• Variables or constructs must be mentioned and defined
• Relationships between them bust be also explained (if)
7. Qualitative research questions
The question should be directed to be answered with the data that will be collected with the
research.
Do not pose questions…
• directed to the theoretical framework or the methodological section.
• that are insufficiently supported or unimportant.
• without reviewing the literature first.
• that cannot be answered through objective methods and through the study.
• biased or value-laden.
• with imaginary scenarios.
• With extra variables (other than those included in the study).
• with more than one topic or possible answer.
8. Quantitative research question(s)
• Help presenting the topic with more clarity:
Which is the effect of Service Quality on Purchase Intention?
Purchase intention
(unidimensional)
Responsiveness
Service reliability
Assurance
Empathy
Tangibles
(multidimensional)
(Future hypothesis)
9. Relevance / contribution
• Why this research must be done?
• What is going to be the final contribution?
• Ladik & Stewart (2008):
(The contribution continuum)
10. Theoretical background
• Explanation of key theories, models and concepts
• Structure must be clear (variables, theories, evolution, contrast, etc.)
• If quantitative, hypothesis must be well explained and backed up
• A literature review is highly recommended
11. Literature review steps
Search this keywords in repositories and search engines
2
Identify relevant papers (closeness to topic, date of publishing, ranking position, etc.)
3
Find theories, models and key authors or journals (go backwards on the references)
4
Structure the body of your review (matrix)
5
1
Identify key words for your topic (concepts, constructs or variables)
Write the review keeping in mind the tone, tense and syntax.
6
Check for mistakes, typos or improvements.
7
14. Identification
Sarasvathy et al. (2003),
Shane (2012), Shane et al.
(2003), Shane y
Venkataraman (2000).
Support
Recognition
DeTienne y Chandler (2004),
Garud y Giuliani (2013),
Sarasvathy et al. (2003),.
Creation
Buchanan y Vanberg (1991),
Garud y Giuliani (2013),
DeTienne y Chandler (2004),
Sarasvathy et al. (2003).
Discovery
DeTienne y Chandler (2004),
Garud y Giuliani (2013),
Sarasvathy et al. (2003),
Shane y Venkataraman
(2000).
Definition
Bae et al. (2014), Henry et al. (2005a,
2005b), Jones y English (2004), Kuratko
(2005), Martin et al. (2013), Onstenk
(2003), Piperopoulos y Dimov (2015).
Classification
Henry et al. (2005a, 2005b), Jones y
English (2004), Kuratko (2005), Onstenk
(2003), Piperopoulos y Dimov (2015),
Shane y Venkataraman (2000).
Evaluation
Duval-Couetil (2013), Henry et al.
(2005b), McMullen y Shepherd (2006),
Moberg et al. (2014), Schelfhout et al.
(2016).
Skills
Baron (2006), Barucic y
Umihanic (2016),
Brandstätter (2011), Corbett
(2005), Moberg et al. (2014).
Knowledge
Ardichvili et al. (2003),
Coleman, 1988, Corbett
(2005), Eckhardt y Shane
(2003, 2010), Jain (2011).
Traits
Abuzhuri y Hashim (2017),
Brandstätter (2011), Driessen
y Zwart (2006), Jain (2011),
Lehner y Kaniskas (2012).
Motivations
Driessen y Zwart (2006), Jain
(2011), Oosterbeek et al.
(2010), Rauch y Frese (2007),
Shane et al. (2003).
Entrepreneurial
model
Entrepreneurship
education
Entrepreneurship
competences
15. Theories & Models
Science:
Body of knowledge represented through different theories derived from the scientific method.
Theories:
Explanations of social or natural phenomena, events or behaviors.
Models:
Graphic representation of a hole or part of a Theory.
16. Multidimensional constructs
Which is the effect of Service Quality on Purchase Intention?
Purchase intention
(unidimensional)
Responsiveness
Service reliability
Assurance
Empathy
Tangibles
(multidimensional)
17. Theory & Theorical Model
• Why should this relationship happen?
• How could this effect take place?
Which is the effect of Service Quality on Purchase Intention?
18. Multidimensional constructs
Which is the effect of Service Quality on Purchase Intention?
Purchase intention
Responsiveness
Service reliability
Assurance
Empathy
Tangibles
Hypothesis
H1
H2
H3
H4
H5
19. H1: Quality of tangibles positively affects PI
H2: Assurance positively affects PI
H3: Empathy of employees positively affects PI
H4: Service reliability positively affects PI
H5: Responsiveness positively affects PI
Which is the effect of Service Quality on Purchase Intention?
Purchase intention (PI)
Responsiveness
Service reliability
Assurance
Empathy
Tangibles
Hypothesis
H1
H2
H3
H4
H5
20. Theories
• Expectancy-value (motivation).
• Self-efficacy (individual performance).
• Human capital (individual performance).
• Reasoned action (behavior).
• Agency theory (interactions between firms).
• Information asymmetries (decision making).
• Regulatory focus (behavior).
• Learning theories (behavioral, cognitive,
situational, social).
• Socio-cognitive theory.
• Regret theory.
• Contract theory.
• Counterfactual thinking.
• Theory of economies of scale.
• Game theory
• Classical conditioning
• Diffusion of innovations
21. Methodology
• Type of research (design, approach, paradigm)
• Sample (units of analysis, location, organization, etc.)
• Sampling technique (random vs. non-random sampling)
• Variables (conceptualization and operationalization)
• Data collection process (technique, instrument, scale, validity and reliability of instruments,
data analysis and procedure, etc.)