Candidate cases Methodological reflection on Case Study 2
5.5.5 Case selection
From the pool of 30 candidate cases, 15 projects were successful and could therefore be included in the case study to test the necessary condition proposition. It further turned out that these cases were divided unequally amongst the six types of innovation projects Table 5.6. Table 5.6 Number of selected cases by product innovation type Type of innovation Number of cases Incremental innovation for core components 1 Incremental innovation for peripheral components 4 Modular innovation 3 Architectural innovation for core components 1 Architectural innovation for peripheral components 1 Radical innovation 5 The result of this case selection procedure was that this study was partly a single case study namely for projects aiming at products with incremental core component change as well as for projects aim- ing at architectural innovation of core or peripheral components, and partly a parallel case study for the other three types of product innovation.5.5.6 Hypothesis
Because the proposition in this study specified necessary conditions and the selection was done on the basis of the presence of the dependent concept, the hypothesis was that the condition was present in each case that was studied.5.5.7 Measurement
In order to select and classify cases, first the type of innovation was determined, and then the success of each case. Next, the organiza- tional configuration was determined in order to compare the observed configuration with the expected ideal type. Success of the product innovation project was determined with a ques- tionnaire that was filled out by the project manager of that project. Project managers rated, for a number of success indicators on a five- point scale, whether there had been a “disappointing” performance or one “well beyond expectations”. Successful projects were defined as projects with an average score of three equal to expectations or higher. The 15 successful projects in which the hypothesis was tested were selected according to this criterion: their performance had not disappointed the project managers. Several questions could be raised regarding the measurement validity of success, when success is meas- ured by the “degree to which expectations have been met”: the problem of measurement validity of success is briefly addressed in 5.4.11, where reasons for not confirming the hypothesis are discussed. Case Study 2 also provides a quite detailed description of how type of innovation was determined. It is clear that this categorization was not achieved by a straightforward application of a set of clear-cut decision rules. The values of the four dimensions of the organizational configuration coordination integration, ownership integration, task integration, and knowledge integration were derived from a qualitative interview with the project manager and, for two dimensions, compared with the project manager’s rating on a five-point scale in a questionnaire. No major deviations were found between these two assessments.5.5.8 Data presentation
Case Study 2 does not give detailed descriptions of the different projects such as provided in Case Study 1, which would enable experts who know one or more projects to evaluate the correctness of, for example, the categorization of type of innovation or the estimation of success. For all 15 successful projects, all relevant data for testing are provided in Table 5.5, i.e. its type of innovation and the organizational configuration in terms of the values of the four organizational dimensions.5.5.9 Data analysis
The hypothesis-testing consisted of comparing the “observed” typolo- gies with the predicted ones see Table 5.5. The four values for the organizational dimensions formed an observed “pattern” that could be compared with the ideal typical configuration. This test was performedParts
» 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
Show more