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dc.contributorDr. Thomas J. Crowe
dc.contributorDr. José L. Zayas-Castro
dc.contributor.authorHumberto, Álvarez
dc.creatorHumberto, Álvarez
dc.date.accessioned2018-07-24T20:39:32Z
dc.date.available2018-07-24T20:39:32Z
dc.date.issued2002-12-01
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5102
dc.descriptionOrganizational change can be described as a series of activities oriented towards modifying behaviors and structures within the organization. These series of activities are interconnected internally and externally and are affected by human, operational and environmental factors that dynamically influence decisions and processes in the organization. There has been a significant amount of work in organizational change, using both behavioral and systemic approaches. Moreover it has been argued that research in change processes should include also the dynamic relationship between change processes and outcomes to detect how organizational change context, processes and the pace of change affect performance outcomes. Despite the amount of research, there is a need for more profound studies exploring the contexts, content, and processes involved in a change initiative. This research proposes a model to help organizations implement change initiatives with an increased likelihood of success. The Influence Model for Organizational Change – IMOC - was developed with the hope of better demonstrating the dynamics that take place in the organization by using a systems engineering view. As an exercise to verify the relationships that govern IMOC a systems dynamic simulation model was partially developed. The dynamic simulation confirmed the impact of variables such as employees’ and management participation, environment and delay in implementing policies on the level of resistance to change existing in the organization.en_US
dc.description.abstractOrganizational change can be described as a series of activities oriented towards modifying behaviors and structures within the organization. These series of activities are interconnected internally and externally and are affected by human, operational and environmental factors that dynamically influence decisions and processes in the organization. There has been a significant amount of work in organizational change, using both behavioral and systemic approaches. Moreover it has been argued that research in change processes should include also the dynamic relationship between change processes and outcomes to detect how organizational change context, processes and the pace of change affect performance outcomes. Despite the amount of research, there is a need for more profound studies exploring the contexts, content, and processes involved in a change initiative. This research proposes a model to help organizations implement change initiatives with an increased likelihood of success. The Influence Model for Organizational Change – IMOC - was developed with the hope of better demonstrating the dynamics that take place in the organization by using a systems engineering view. As an exercise to verify the relationships that govern IMOC a systems dynamic simulation model was partially developed. The dynamic simulation confirmed the impact of variables such as employees’ and management participation, environment and delay in implementing policies on the level of resistance to change existing in the organization.en_US
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectiagnostic investigationen_US
dc.subjectcorrective modelen_US
dc.subjectimplementingen_US
dc.subjectinnovationen_US
dc.titleA diagnostic investigation and a corrective model for implementing change in response to innovationen_US
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typeinfo:eu-repo/semantics/publishedVersion
thesis.contributor.directorDr. Thomas J. Crowe
thesis.contributor.directorDr. José L. Zayas-Castro
thesis.universityUniversity of Missouri – Columbia
thesis.countryEE. UU.
thesis.degree.grantorDoctorado en Ingeniería Industrial
thesis.subtypeTesis Doctorado


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