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Comparing journal articles
Carrine Kezia Aulia | 102183022
International Journal of Marketing
Studies
European Journal of Marketing
OUTLINE
1. In General
Hypothesis
Importance of the study
Design
Method
Main findings
1. Impact factor
1st
Article
GENERAL
HYPOTHESIS & VARIABLE 
1. What is the hypothesis or the research question, if any, guiding the
research?
Brand Name
Product Quality
Price
Promotion
Service Quality
Store
Environment
Brand Loyalty
FRAMEWORK 
1. What is the hypothesis or the research question, if any, guiding the
research?
Brand Loyalty
FRAMEWORK 
1. What is the hypothesis or the research question, if any, guiding the
research?
Consumer Buying
Behavior
IMPORTANCE OF THE STUDY 
2. Why do the authors believe it is important to investigate this?
PURPOSE 
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
METHOD 
4. Were that methods appropriate to address this question?

METHOD 
4. Were that methods appropriate to address this question?

>0.8
METHOD 
4. Were that methods appropriate to address this question?

METHOD 
4. Were that methods appropriate to address this question?

☐
ANOVA
METHOD 
4. Were that methods appropriate to address this question?

☐
IMPACT FACTOR
2nd
Article
GENERAL
HYPOTHESIS & VARIABLE 
1. What is the hypothesis or the research question, if any, guiding the
research?
HYPOTHESIS & VARIABLE 
1. What is the hypothesis or the research question, if any, guiding the
research?
HYPOTHESIS & VARIABLE 
1. What is the hypothesis or the research question, if any, guiding the
research?
HYPOTHESIS & VARIABLE 
1. What is the hypothesis or the research question, if any, guiding the
research?
IMPORTANCE OF THE STUDY 
2. Why do the authors believe it is important to investigate this?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
DESIGN 
3. What method did the authors use to collect evidence? What was their
design?
NFI
0.921
NFI
0.921
NFI
0.924
METHOD 
4. Were that methods appropriate to address this question?
Descriptive 
METHOD 
4. Were that methods appropriate to address this question?
Descriptive 
METHOD 
4. Were that methods appropriate to address this question?
Reliability and Validity ☐
METHOD 
4. Were that methods appropriate to address this question?
Structural
Equation
Modeling

FINDINGS 
5. Are the findings statistically, scientifically, and practically significant?
IMPACT FACTOR
THANK YOU

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Comparing Journal Articles

Editor's Notes

  1. Purpose Sample Method Findings
  2. Significant p value should mark with * Table not clear, descriptive and inferential in 1 table, hard to understand Anova used for see the significant of the model,
  3. Significant p value should mark with * Correlation just explain correlation on 1 iv and 1 dv not as one unit, its not in line with the hypothesis and purpose of the study. Need regression to get the answer if these 7 factor have influence to brand loyalty as one unit.
  4. Also explain past studies that has already been done to find out antecedent or factor that influence repurchase intention, but really specific such as just use single variable and never been done with general variable
  5. Table to make reader easier to catch the point, also provide the paragraph that explain each interrelation and why this research use this interrelation in more detail
  6. They change their model
  7. They change their model
  8. Stratified : di kelompokan berdasarkan umur, dll Lebih jelas di describe di paragraph
  9. Structural Equation Modeling (SEM) is used to estimates causal relationship between multiple independent, dependent, and latent variable.
  10. Supported * = p value < 0.05 Strongly supported ** = p value < 0.01 Very strongly supported *** = p value < 0.001 Not supported hypotheses were removed from the model during the process