Article | 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden | Generalized Maximum Entropy Estimation Method for Studying the Effect of the Management’s Factors on the Enterprise Performances

Title:
Generalized Maximum Entropy Estimation Method for Studying the Effect of the Management’s Factors on the Enterprise Performances
Author:
Enrico Ciavolino: Researcher of Statistics, University of Salento, Department of Philosophy & Social Science, Italy Jens J. Dahlgaard: Division of Quality Technology, Linköping University, Linköping, Sweden
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Year:
2007
Conference:
10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Issue:
026
Article no.:
044
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2008-02-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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The aim of this paper is to show the results of a survey that the University Consortium in Engineering for Quality and Innovation has led. A sample of Italian manufacturing companies was selected in order to verify the abilities to manage the human resources effectively; the spreading level of an effective and aware Leadership and the ability of strategic planning according to of a correct identification of the objectives. Moreover an alternative estimation approach; based on the maximization of the entropy function; is presented for estimating the parameters of the model presented. The data collected was analyzed with a multidimensional statistical method based on a Generalized Maximum Entropy (GME) estimation approach. This method is widely used in linear modelling and is presented here by considering a new algorithm for the estimation of the parameters of the model. Moreover; the data are analyzed by the Partial Least Squares regression (PLS); for a comparative study with GME.

Keywords: Generalized Maximum Entropy; Leadership; Human Resources; Strategic Planning; Performance

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Enrico Ciavolino, Jens J. Dahlgaard
Title:
Generalized Maximum Entropy Estimation Method for Studying the Effect of the Management’s Factors on the Enterprise Performances
References:

Al-Nasser A. D. (2003). Customer Satisfaction Measurement Models: Generalized Maximum Entropy Approach. Pak Journal of Statistics; 19(2); 213–226;


Ciavolino E. (2007). The Entropy Theory for evaluating the Job Satisfaction; GFKL 2007; Freiburg; march 2007;


Ciavolino E.; Dahlgaard J.J.; ECSI - Customer Satisfaction Modelling and Analysis: a case study; in press on Total Quality Management & Business Excellence; Article ID: 223946 (TQM & BE 108/05);


Ciavolino E.; Al Nasser A.D.; D’Ambra A. (2006). The Generalized Maximum Entropy Estimation method for the Structural Equation Models; GFKL 2006; Berlino; marzo 2006;


Dahlgaard; J. J. & Park-Dahlgaard; S. M. (2003); “The “4P” Quality Strategy for Breakthrough and Sustainable Development”; the 7th QMOD Conference; Monterrey; Mexico


Dahlgaard; J. J.; Park-Dahlgaard; S. M. & Martensen; Anne (2006); Measuring and Diagnosing Innovation Excellence – Simple contra advanced approaches - A Danish Study; Proceedings of the 9th QMOD Conference; Liverpool; UK; August 2006


Park-Dahlgaard; S.M. & Dahlgaard; J.J. (2006); In Search of Excellence – Past; Present and Future; in: H. Schnauber (ed.); Kreativ und Konsequent – Herbert Masing; Hanser Verlag; München; Wien


Jaynes E.T. (1957). Information Theory and Statistical Mechanics; The Physical Review 106 (4); 620-630; May 15; 1957;


Jaynes; E. T. (1968). Prior Probabilities; IEEE Transactions On Systems Science and Cybernetics; vol. sec-4; no. 3; 227-241;


Golan A.; Judge G. & Karp L. (1996). A maximum entropy approach to estimation and inference in dynamic models or counting fish in the sea using maximum entropy; Journal of Economic Dynamics and Control; 20; 559-582;


Golan; A; G George & D Miller (1996). Maximum Entropy Econometrics; Wiley; London;


Paris; Q. (2001): Multicollinearity and maximum entropy estimators. Economics Bulletin; 3(11); 1–9.


Shannon C. E. (1948). A mathematical Theory of Communications; Bell System Technical Journal; 27; 379–423.


Wold S.; Sjostrom M.; Eriksson L.; (2001); PLS-regression: a basic tool of chemometrics; Chemometrics and Intelligent Laboratory Systems; vol. 58; 109- 130;

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Enrico Ciavolino, Jens J. Dahlgaard
Title:
Generalized Maximum Entropy Estimation Method for Studying the Effect of the Management’s Factors on the Enterprise Performances
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