Excellence in Innovation Management [electronic resource] : A Meta-Analytic Review on the Predictors of Innovation Performance /
Sattler, Markus.author.
Innovation management is commonly understood as a central system and function of a firm’s ability to keep up with developments in the market. Markus Sattler reviews the predictors of successful innovation management on firm level with a meta-analytic approach. His findings suggest that the role of knowledge management and an environment of learning are important success factors on which managers can have a substantial effect. Furthermore a clear managerial commitment to innovations and a sophisticated innovation process are further central predictors of a successful innovation management.
Description based upon print version of record.
Foreword; Preface; Table of Contents; 1 Introduction; 1.1 Research problem and objective; 1.2 Outline of the dissertation; 2 Successful innovation management in current research literature; 2.1 Theoretical foundations of innovation management; 2.1.1 Innovation as research object; 2.1.2 Innovation management as a function and system; 2.2 Research on success factors in innovation management; 2.2.1 Success factors and success in the empirical research on innovation management; 2.2.2 Current status of the empirical research in the field of innovation management
2.2.3 Critical discussion of research on success factors in innovation management2.2.4 Implications of criticism for further research in innovation management; 2.3 Summary of current research literature; Innovation:; products; Innovation management:; success; success factors; Success factors:; measure success; financial innovation perfor-mance.; extended rational plan; 3 The method of the quantitative review "meta-analysis"; 3.1 Meta-analysis in the context of research review concepts; 3.2 Selection of an adequate meta-analysis method
3.2.1 Fixed-effects vs. random-effects models of meta-analysis3.2.2 Corrections applied as differentiating criteria; 3.3 Identification and coding of studies for the meta-analysis; 3.3.1 Identification of adequate studies for inclusion; 3.3.2 Coding of studies; 3.4 Estimation and interpretation of true effect sizes in meta-analysis; 3.4.1 Correcting studies for imperfections and aggregation; 3.4.2 Interpretation of results; 3.5 General issues in meta-analysis; 3.5.1 Garbage-in-garbage-out; 3.5.2 Problem of "apples and oranges"; 3.5.3 Measures different to "r"
3.5.4 Multiple measurements of a focal effect in a single study3.6 Summary of the method of meta-analysis; 4 Identification and coding of single studies of success factors in innovation management; 4.1 Identification of adequate studies: Scanning the innovation literature; 4.1.1 Research problem and characteristics of eligible studies; 4.1.2 The tide of identification; 4.1.3 Conceptual framework for structuring the success factors in innovation management; 4.2 Coding of studies: Identification of success factors in single studies
4.2.1 Coding scheme and approach for identification of success factors4.2.2 Hypothesis on the impact of the success factors identified from single studies; 4.3 Overview of the success factors identified from single studies; 5 Application of meta-analysis mathematical procedure on identified effect sizes of success factors; 5.1 Results of the correction and integration of primary study findings; 5.1.1 The correction and integration approach applied; 5.1.2 Complete data set analysis; 5.1.3 Subgroup analysis to identify moderator influence; 5.2 Categorization of findings from the meta-analyses
6 Discussion of the findings and implications for practice and research
Includes bibliographical references (p. 189-213).
Innovation management is commonly understood as a central system and function of a firm’s ability to keep up with developments in the market. Markus Sattler reviews the predictors of successful innovation management on firm level with a meta-analytic approach. His findings suggest that the role of knowledge management and an environment of learning are important success factors on which managers can have a substantial effect. Furthermore a clear managerial commitment to innovations and a sophisticated innovation process are further central predictors of a successful innovation management.
Management.
Industrial management.
Innovation/Technology Management.
Management.