Organizational Change and Innovation Processes: Theory and Methods for ResearchIn a world of organizations that are in constant change scholars have long sought to understand and explain how they change. This book introduces research methods that are specifically designed to support the development and evaluation of organizational process theories. The authors are a group of highly regarded experts who have been doing collaborative research on change and development for many years. |
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Adopt assumption attractor autocorrelation behavior bitmap causal change and development change process chaotic chapter cochlear implant coding colored noise complex constructs context correlation dimension cycle database defined dependencies development and change developmental dialectical discussed dynamics entity evaluate event data event time series example factors feedback Figure Granger causality Hurst exponent hypotheses identify incidents indicate innovation linear Lyapunov exponent Markov chain Markov process methods monthly event count motors multiple narrative explanation nonlinear observed occur organization organizational change outcomes parameters partial autocorrelation patterns period phase phasic analysis pink noise plot power law predict process approach process research process theories punctuated equilibrium qualitative random relationships requires sample self-organized criticality series analysis series models specific stages startup statistical stochastic models strategy structure Table teleological temporal tion transition matrix unitary sequence values variables variance approach white noise