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[null,"1.","Record Nr.",null,"UNINA9910785086203321"]
[null,null,"Titolo",null,"Organizational change and innovation processes [[electronic resource] ] : theory and methods for research / / by Marshall Scott Poole ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Oxford University Press, 2000"]
[null,null,"ISBN",null,"0-19-770344-5"]
[{"$nulls":4},"1-280-83330-0"]
[{"$nulls":4},"0-19-535111-8"]
[null,null,"Descrizione fisica",null,"1 online resource (417 p.)"]
[null,null,"Disciplina",null,"658.406"]
[{"$nulls":4},"658.406072"]
[null,null,"Soggetti",null,"Organizational change - Research - Methodology"]
[{"$nulls":4},"Industrial management - Research - Methodology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 383-399) and index."]
[null,null,"Nota di contenuto",null,"CONTENTS; PART I: THEORY; 1. Perspectives on Change and Development in Organizations; 2. Process Theories and Narrative Explanation; 3. A Typology of Process Theories; PART II: METHODS; 4. Overview: Methods for Process Research; 5. Issues in the Design of Process Research; 6. Stochastic Modeling; 7. Phasic Analysis; 8. Event Time Series Regression Analysis; 9. Event Time Series Nonlinear Dynamical Analysis; 10. Conclusion; APPENDIX: Computer Programs to Support Process Research; REFERENCES; ACKNOWLEDGMENTS; INDEX; A; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; U; V"]
[null,null,null,"Sommario/riassunto","Part I: Theory. 1. Perspectives on Change and Development in Organizations. 2. Process Theories and Narrative Explanation. 3. A Typology of Process Theories. Part II: Methods. 4. Overview: Methods for Process Research. Appendix: Definitions and Coding Rules for CIP Events. 5. Issues in the Design of Process Research. Appendix: Building an Event Sequence File, David N. Grazman and Andrew H. Van de Ven. 6. Stochastic Modeling. 7. Phasic Analysis. 8. Event Time Series Regression Analysis. 9. Event Time Series Nonlinear Dynamical Analysis. 10. Conclusion. Appendix: Computer Programs to Support Pro"]