Propositions that express a deterministic relation
4.2.4 Propositions that express a probabilistic relation
Propositions that express a probabilistic relation between concept A and concept B can be formulated as: If A is higher, then it is likely that B is higher. A probabilistic relation is a relation in which both A and B on average increase or decrease at the same time. It is assumed that A causes B. A probabilistic relation can be visualized as a scatter plot of instances of the object of study of interest, as shown in Figure 4.4, which, on the average, illustrates an increase in concept B due to an increase in concept A. Note that there can be pairs of instances in which A increases and B decreases, which would not be possible in a deterministic relation. In our example this could be formulated as: “If there is more top man- agement commitment, then it is likely that the innovation project is more successful”. Probabilistic relations between A and B can be on 70 Concept A Concept B Figure 4.3 Scatter plot of instances indicating a continuous increasing deterministic relation between concept A and concept B average increasing, or decreasing, continuously, or not continuously, depending on the proposition. Also note that we do not mean that vari- ation as shown in Figure 4.4 is due to “measurement error”. Figure 4.4 depicts the variation of the actual values of the concepts of the object of study. These actual values are interpreted as a representation of an underlying, “realistic”, probabilistic relation.4.3 Business relevance of propositions
We have presented two different types of propositions: deterministic propositions and probabilistic propositions. We consider deter- ministic propositions as “stronger” than probabilistic ones because they explain more and sometimes all variation in a dependent con- cept and, therefore, can often predict effects in individual instances. Deterministic propositions make the theory more powerful. Further- more, deterministic propositions if supported in many replications are very useful for practitioners. An insight that tells you how to act or not to act in order to create a “critical” condition for success or for the absence of failure is often more useful in managerial practice than an insight that tells you how to increase the likelihood of success. This is not to say that absolute certainty about an effect can be achieved, but an “almost certainty” see Box 8 is a powerful ground for decision making. The distinction between deterministic conditions and probabilistic relations reflects two different types of knowledge that managers might need for their decision making. Typically, managerial problems Chapter 4 Concept A Concept B Figure 4.4 Scatter plot of instances indicating a probabilistic relation between concept A and concept BParts
» BUKU | SAIDNA ZULFIQAR BIN TAHIR (VIKAR)
» Our definition of a case study
» Chapter 2: Case studies in business research
» Chapter 3: Principles of research Chapter 4: Theory-testing research general
» Chapters 10–11: Practice-oriented research Overview of the book
» Reading specific topics Overview of the book
» Suggestions for students How to read this book
» References BUKU | SAIDNA ZULFIQAR BIN TAHIR (VIKAR)
» Types of case study research
» Objectives of case study research
» Guidelines for case study research
» Evaluations of case study research
» Conclusion BUKU | SAIDNA ZULFIQAR BIN TAHIR (VIKAR)
» General research objectives of theory-oriented and practice-oriented research
» Orientation: how to choose between theory-oriented or practice-oriented research
» Theory Principles of theory-oriented research
» Theory-oriented research: contribution to theory development
» Replication Principles of theory-oriented research
» Representativeness, external validity, and generalizability
» Exploration of theory Exploration for theory-oriented research
» Exploration of practice for finding a proposition
» Exploration of practice for confirming the relevance of a proposition
» Contributions to theory development
» Practice Principles of practice-oriented research
» Practice-oriented research: contribution to a practitioner’s knowledge
» Exploration of practice Exploration for practice-oriented research
» Research objectives in theory-testing research
» Propositions that express a sufficient condition
» Propositions that express a necessary condition
» Propositions that express a deterministic relation
» Propositions that express a probabilistic relation
» Business relevance of propositions
» Strategy for testing a proposition that expresses a sufficient condition
» Strategy for testing a proposition that expresses a necessary condition
» Strategy for testing a proposition that expresses a deterministic relation
» Strategy for testing a proposition that expresses a probabilistic relation
» Testing more complex conceptual models
» Outcome and implications BUKU | SAIDNA ZULFIQAR BIN TAHIR (VIKAR)
» Summary BUKU | SAIDNA ZULFIQAR BIN TAHIR (VIKAR)
» Introduction How to test a sufficient or a necessary condition with a case study
» Candidate cases How to test a sufficient or a necessary condition with a case study
» Case selection How to test a sufficient or a necessary condition with a case study
» Hypothesis How to test a sufficient or a necessary condition with a case study
» Measurement How to test a sufficient or a necessary condition with a case study
» Data presentation Data analysis
» Replication strategy How to test a sufficient or a necessary condition with a case study
» Domain Conceptual model Theory
» Research objective Case Study 1: Theory-testing research: testing a necessary condition
» Research strategy Case Study 1: Theory-testing research: testing a necessary condition
» Candidate cases Case selection
» Hypotheses Case Study 1: Theory-testing research: testing a necessary condition
» Measurement Case Study 1: Theory-testing research: testing a necessary condition
» Radical innovation projects Data presentation
» Incremental innovation projects Data presentation
» Data analysis Case Study 1: Theory-testing research: testing a necessary condition
» Replication strategy Case Study 1: Theory-testing research: testing a necessary condition
» Theory Methodological reflection on Case Study 1
» Research objective Methodological reflection on Case Study 1
» Research strategy Methodological reflection on Case Study 1
» Candidate cases Methodological reflection on Case Study 1
» Case selection Methodological reflection on Case Study 1
» Hypothesis Measurement Methodological reflection on Case Study 1
» Data presentation Methodological reflection on Case Study 1
» Data analysis Methodological reflection on Case Study 1
» Replication strategy Methodological reflection on Case Study 1
» Research strategy Case Study 2: Theory-testing research: testing a necessary condition
» Candidate cases Case Study 2: Theory-testing research: testing a necessary condition
» Case selection Case Study 2: Theory-testing research: testing a necessary condition
» Hypothesis Case Study 2: Theory-testing research: testing a necessary condition
» Measurement Case Study 2: Theory-testing research: testing a necessary condition
» Theory Methodological reflection on Case Study 2
» Candidate cases Methodological reflection on Case Study 2
» Case selection Methodological reflection on Case Study 2
» Hypothesis Methodological reflection on Case Study 2
» Measurement Methodological reflection on Case Study 2
» Data presentation Methodological reflection on Case Study 2
» Data analysis Methodological reflection on Case Study 2
» Replication strategy Methodological reflection on Case Study 2
» Introduction How to test a deterministic relation with a case study
» Candidate cases How to test a deterministic relation with a case study
» Case selection How to test a deterministic relation with a case study
» Hypothesis How to test a deterministic relation with a case study
» Data analysis How to test a deterministic relation with a case study
» Replication strategy How to test a deterministic relation with a case study
» Introduction Case Study 3: Theory-testing research: testing a deterministic relation
» Research objective Case Study 3: Theory-testing research: testing a deterministic relation
» Research strategy Case Study 3: Theory-testing research: testing a deterministic relation
» Hypotheses Case Study 3: Theory-testing research: testing a deterministic relation
» Measurement Case Study 3: Theory-testing research: testing a deterministic relation
» Theory Methodological reflection on Case Study 3
» Research objective Research strategy
» Candidate cases Methodological reflection on Case Study 3
» Case selection Hypotheses Methodological reflection on Case Study 3
» Measurement Data presentation Methodological reflection on Case Study 3
» Introduction How to test a probabilistic relation with a case study
» Introduction Case Study 4: Theory-testing research: testing a probabilistic relation
» Research objective Case Study 4: Theory-testing research: testing a probabilistic relation
» Research strategy Case Study 4: Theory-testing research: testing a probabilistic relation
» Candidate cases Case Study 4: Theory-testing research: testing a probabilistic relation
» Case selection Case Study 4: Theory-testing research: testing a probabilistic relation
» Hypotheses Measurement Case Study 4: Theory-testing research: testing a probabilistic relation
» Data presentation Case Study 4: Theory-testing research: testing a probabilistic relation
» Data analysis Case Study 4: Theory-testing research: testing a probabilistic relation
» Theory Methodological reflection on Case Study 4
» Specifying the relation between known concepts
» Discovering a not yet known concept
» Discovering concepts and their relation
» Discovering concepts Principles of theory-building research
» Research strategies in theory-building research
» Outcome and implications Summary
» Introduction How to design and conduct a theory-building case study
» Candidate cases How to design and conduct a theory-building case study
» Case selection How to design and conduct a theory-building case study
» Extracting relevant evidence How to design and conduct a theory-building case study
» Coding How to design and conduct a theory-building case study
» Data presentation How to design and conduct a theory-building case study
» Sufficient condition Data analysis
» Necessary condition Data analysis
» Deterministic relation Data analysis
» Sufficient condition An example of data analysis
» Necessary condition An example of data analysis
» Deterministic relation Probabilistic relation
» Outcome How to design and conduct a theory-building case study
» Introduction Case Study 5: Theory-building research
» Candidate cases Case Study 5: Theory-building research
» Case selection Extracting relevant evidence
» Coding Case Study 5: Theory-building research
» Outcome Case Study 5: Theory-building research
» Justification of a theory-building case study
» Candidate cases Methodological reflection on Case Study 5
» Data analysis Methodological reflection on Case Study 5
» Outcome Methodological reflection on Case Study 5
» Research objective in hypothesis-testing research
» Research strategy in hypothesis-testing research
» Research objective in hypothesis-building research
» Research objective of descriptive practice-oriented research
» Research strategy of practice-oriented descriptive research
» Introduction How to design and conduct a practice-oriented case study
» Case selection How to design and conduct a practice-oriented case study
» Implications of the research results
» Introduction Case Study 6: Hypothesis-testing practice-oriented research
» Hypothesis Case Study 6: Hypothesis-testing practice-oriented research
» Measurement Case Study 6: Hypothesis-testing practice-oriented research
» Data analysis Case Study 6: Hypothesis-testing practice-oriented research
» Results and implications Case Study 6: Hypothesis-testing practice-oriented research
» Practice Methodological reflection on Case Study 6
» Research objective Methodological reflection on Case Study 6
» Case selection Methodological reflection on Case Study 6
» Measurement Methodological reflection on Case Study 6
» Data presentation Methodological reflection on Case Study 6
» Data analysis Methodological reflection on Case Study 6
» Implications for practice Methodological reflection on Case Study 6
» Introduction Case Study 7: Descriptive practice-oriented research
» Absence of guidelines or criteria
» Measurement Case Study 7: Descriptive practice-oriented research
» Data presentation Case Study 7: Descriptive practice-oriented research
» Concept definition Case Study 7: Descriptive practice-oriented research
» Implications Case Study 7: Descriptive practice-oriented research
» Practice Research objective Methodological reflection on Case Study 7
» Case selection Measurement Methodological reflection on Case Study 7
» Data presentation Methodological reflection on Case Study 7
» Data analysis Methodological reflection on Case Study 7
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