CEOas Commitment Bias and its Firm R&D Level Bayesian Network Method: Evidence Form Tunisia

Azouzi Mohamed Ali; Hamza Fadhila; Jarboui Anis

CEOas Commitment Bias and its Firm R&D Level Bayesian Network Method: Evidence Form Tunisia

Azouzi Mohamed Ali * §

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Hamza Fadhila

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Jarboui Anis

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§ University of Sfax

CEOas Commitment Bias and its Firm R&D Level Bayesian Network Method: Evidence Form Tunisia

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Abstract

In this paper we approach as to whether CEO’s incentives may lead to a positive manager’s innovation behavior. We search in this work to study this relationship conforming to the prediction of the theory of commitment. Accordingly, we hypothesize that CEO’s incentives can persuade a favorable attitude toward innovation but it can lead to an authentic behavior only with the presence of commitment bias. The proposed model of this paper uses Bayesian Network Method to examine this relationship. CEO’s attitude has been measured by means of a questionnaire comprising several items.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Azouzi Mohamed Ali, Hamza Fadhila, Jarboui Anis. 2013. "CEOas Commitment Bias and its Firm R&D Level Bayesian Network Method: Evidence Form Tunisia". Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 13 (GJMBR Volume 13 Issue C11).

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GJMBR Volume 13 Issue C11

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords

bayesian net ceo’s incentives commitment bias executive power innovation loss aversion managerial discretion myopia optimism overconfidence

Classification

GJMBR-C Classification JEL Code: G32

Submission ReceivedDecember 11, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Issue date

December 19, 2013

Language

English

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Article Matrices

Total Score: 150

Country: Unknown

Subject: Global Journal of Management and Business Research

Authors: Hamza Fadhila, Azouzi Mohamed Ali, Jarboui Anis (PhD/Dr. count: 0)

View Count (all-time): 376

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Publish Date: 2013 01, Tue

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Total Views: 1.4K

Total Downloads: 124

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