Combining qualitative and quantitative data: a powerful lever for driving an organizational change process
Miguel Delattre () and
Véronique Zardet ()
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Miguel Delattre: ISEOR - Institut de Socio-économie des Entreprises et des ORganisations - Institut de socio-économie des entreprises et des organisations, MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon
Véronique Zardet: ISEOR - Institut de Socio-économie des Entreprises et des ORganisations - Institut de socio-économie des entreprises et des organisations, MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon
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Abstract:
For a long time the management sciences had conflicting viewpoints on intervention methodologies, essentially qualitative and quantitative data. From the consultant's point of view this dichotomy seems sterile because beyond the quality of the collected information, their action is often assessed on the quality of this implementation in the process. This communication focuses on the collection of combined qualitative and quantitative data as well as their treatment in an intervention context in vivo related to the organizational change process. The main issue is to underline the virtues of the qualitative / quantitative mixing in a process of change, by highlighting at the same time its impacts on the dynamics of the intervention and on the significance of the information collected to assure the mission both for the internal actors and for the third parties.
Keywords: quantitative / qualitative complementarity; measurement approach. (search for similar items in EconPapers)
Date: 2016-08
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Published in Academy of Management Conference – Anaheim – MC Division, Aug 2016, Anaheim, United States
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01355001
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