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Comprehensive summary of the lectures of MBEO (2019) £4.72   Add to cart

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Comprehensive summary of the lectures of MBEO (2019)

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This comprehensive summary contains all the necessary substances for the MBEO course. By studying this substance you will gain enough knowledge to make the profession with ease

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  • December 14, 2019
  • 23
  • 2018/2019
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Lecture 1 30-1




When does a business problem occur?
-Desired state: Actual situation is not seriously wrong but can be improved
-Actual state: The actual situation is seriously wrong and needs to be solved asap.

4. What makes a good business problem (manager-focused)?
 Feasibility
-Is the problem demarcated?
-Can the problem be expressed in variables?
-Are you able to gather the required data? (Existing or new data)
 Relevance
 Managerial Relevance: Who benefits from having the problem solved?
 Managers:
-of one company
-of one industry
-of multiple industries
 End users
 Public policy makers
 Academic Relevance: Has the problem not already been solved in prior research?
 Completely new topic: No research available at all, although the topic is important
 New context: Prior research is available but not in the same context
 Integrate scattered research: E.g., different studies have focused on different IVs /
moderators; consequently, their relative importance is not clear
 Reconcile contradictory research: Solve the contradictions through introducing one or
more moderators
5. What makes a good problem statement? (research-focused)
 Formulated in terms of:
-variables, and
-relations
 Open-ended question
 Stated clearly/unambiguously
(is managerially and academically relevant)

, 6. What makes good research questions?
 Should collectively address the problem statement
One problem statement is translated into multiple research questions
 First theoretical, then practical research questions
In the same order as they will be addressed in your research report!
 Statedclearly/unambiguously
No vague elements

 Theoretical research questions
-context question
-conceptualization question
-relationship questions
 Practical research questions
-Relationship questions
-Implication question

7. Developing a theoretical framework
A Theoretical framework consists of:
 Viariable definitions
-based on a careful literature review
-always use EXACTLY the same variable names throughout your research
 Conceptual model – graphical representation
Variables are building blocks
-Dependent variables(criterion variable): The variable of primary interest
-Independent variables (predictor variable): influences the dependent
-Mediating variables: A variable that explains the mechanism at work between X and Y
Full mediation: X only has an effect on Y through MED
Partial mediation: X has an indirect and direct effect on Y through MED
-Moderating variables: A variable that alters the strength and sometimes even the direction of the
relationship between X and Y
Quasi moderation: MOD moderates the relationship between X and Y, but it also has a direct effect
on Y
Pure moderation: MOD moderates the relationship between X and Y, but it has no direct effect on Y
Relationships are arrows
-Main effect
-Direct/indirect effect
-Moderating effect
 Hypotheses – relationships between variables
A tentative statement about the coherence between 2 or more variables
What makes a good hypothesis?
-Derived from theory
-Testable
-Unambigous
 Directional hypotheses (one-sided)
-A merger is likely to decrease employee morale.
-The effect of employee morale on employee productivity is more negative for older employees.
 Undirectionalhypotheses (two-sided)
-A merger is likely to affect employee morale.
-The effect of employee morale on employeebproductivity depends on employee age

,  Null hypothesis
-Expresses no relationship between variables or no difference between groups
-Set up in order to be rejected (in favor of the alternate hypothesis)
 Alternate hypothesis
-Expresses a relationship between variables or a difference between groups
= research hypothesis
Null hypotheses are rarely presented in research reports

Lecture 2 06-02
Choose a research design (stap 4)
Research Design = A plan for the collection, measurement, and analysis of data.
=Plan voor de verzameling, het meten en analyseren van jouw data. Hoe ga jij je onderzoek
aanpakken?
First research question, then research design.
Critical research design decions:
- Choosing between (deductive) research strategies
- Choosing between statistical techniques
- Choosing between sampling designs.
Research types:
 Causal research: Causaal: oorzaak-gevolg relatie.
4 criteria voor bepalen of er sprake is van een causaal verband:
1) X and Y occur  Significant correlation between X and Y
2) A logical explanation for the effect of X on Y
3) X precedes Y in time: the cause must come before the effect
4) There is no other cause (Z) that explains co-occurence of X and Y
-lab experiments: is a artificial (kunstmatig) environment, in which one or more Independent
variables are manipulated, after which the effect on the dependent varible is measured.
-field experiments: An experiment carried out in the natural environment, in which work/life goes as
usual, but manipulation is possible. Je hebt geen gecontroleerde omgeving, maar natuurlijke
omgeving.

 Correlational research
-archival research: Research based on data that already exists
External archival research: data generated by sources outside the firm (publiekelijk, CBS)
Internal archival research: existing company data (in-house information)
-survey research: Research based on a questionnaire to which respondents record their answers,
typically with closely defined alterntives. Onderzoek gebaseerd op vragenlijst met gesloten antw.

Lecture 3 13-02
Choosing between statistical techniques
Raw data means nothing without the proper tools to analyze and interpret them  Statistical
techniques  Helpen van data ook kennis te maken
 Descriptive statistics: Methods of summarizing the data in an informative way. Geven je eerst
informatie van jouw data, ze vatten het samen, en geven inzicht hoe de data eruitziet
-Measures of central tendency. Centrale maten: mean, median, mode
-Measures of dispersion. Verspreidingsmaten: Range, stadard deviation, variance, interquartile range
 Inferential statistics: Methods to draw conclusions. Die kun je gebruiken om hypotheses te testen en
conclusies te trekken.
-Mean difference test
-Chi-square test
-Analysis of variance

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