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The open manager approach: innovation in management styles

Authors: TULLIO MENINI; PAOLO BRUTTINI; PAOLO MARIANI; MICHELE GALLO;

The open manager approach: innovation in management styles

Abstract

Using a sample of about 323 Italian companies and 423 managers from July 2020 - March 2021, the work tests hypotheses on reliability of The Open MOOd Questionnaire. Data collected are analyzed by a psychometric model and a latent trait is found. Results are verified and validated. Moreover, external robustness is assured by comparing the Rasch Analysis results with other statistical methods. The purpose of this work is to measure the level of openness of managers through the Open MOOd Questionnaire. Which aspects allow us to identify different management styles, and if the openness characterises spe-cific clusters of managers. The study shows that the openness attitude in the professional activity of the managers is very high. the Open MOOd Questionnaire can be improved by considering some dichotomic items. The study highlights the model proposed identifies the Open Manager ́s competencies, and identifies teaching methods for their develop-ment. The authors propose a new model to study openness. Diagnostic tools of consoli-dated statistical methods show that the Open MOOd Questionnaire is an effective tool to evaluate the openness.

Country
Italy
Keywords

Openness, Innovation, Human Resources Analysis, Open Manager, Partial Credit Model., Openness, Innovation, Human Resources Analysis, Open Manager, Partial Credit Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green