Data presentation Data analysis
5.1.8 Implications for the theory
In any theory-testing research, both the confirmation and the rejection of a hypothesis can be artefacts produced by research errors, even if the procedures have been conducted correctly. Assuming that the study was conducted adequately, a confirmation of the hypothesis shows that the proposition is true in one case namely the one that was studied and this might be taken as an indi- cation of the likelihood that the proposition is also supported in other cases. It can, however, not be concluded that the proposition is correct for all cases in the domain to which the theory is assumed to apply. Only after many failures to reject the proposition in different “least likely” instances, can we begin to accept the “generalizability” of the proposition. Assuming that a study was conducted adequately, a rejection of the hypothesis can mean a that there is something wrong with the prop- osition i.e. that A is not a sufficient condition for B or that it is not a necessary condition for B, or b that something is wrong with the domain that was specified in the theory i.e. A may be a sufficient or a necessary condition for B in other instances of the domain. The researcher must try to explain the result of the test on the basis of other information about the case. This information may help to develop an improved version of the original proposition or of the spec- ification of the boundaries of its domain. If the hypothesis is rejected in the first test, then the researcher can interpret the rejection as meaning that the proposition is not correct. Such a conclusion cannot be drawn lightly, presuming that the explo- ration at the beginning of the research was conducted seriously and that, thus, the proposition that was formulated and tested was based on sound practical and theoretical insights. However, if it is decided that the proposition should be changed, then the reformulated proposi- tion needs to be tested in new theory-testing research.5.1.9 Replication strategy
Any rejection or confirmation of a hypothesis needs to be replicated in further tests. If the hypothesis was tested for the first time, we recom- mend a strategy of replication in which the same proposition is tested again in similar cases. If the hypothesis is confirmed in such replica- tions, then it can be concluded that the proposition is supported for at least a part of the domain. Before continuing with further replications in less similar cases, in order to determine whether the proposition holds also in other parts of the domain, we recommend with necessary conditions first to conduct a test for trivialness. A necessary condition is trivial if there is no variation in either the dependent or the independent concept, or in both. An example is a proposition that states that globalization is a necessary condition for the success of off-shoring projects, which is trivial because globaliza- tion is present for all off-shoring projects, both unsuccessful and suc- cessful ones. A simple way of testing for trivialness consists of selecting a case in a different manner from that used in earlier tests. If initial tests were conducted in cases that were selected on the basis of the pres- ence of the dependent concept, a next case should be selected on the basis of the absence of the independent concept or the reverse. In our example, it would immediately become clear that no off-shoring projects without globalization could be found. After having found initial support for the proposition and, in case of necessary conditions, having found that it is not trivial, we recommend aParts
» 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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