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City Manager Compensation and Performance: An Artificial Intelligence Approach

City Manager Compensation and Performance: An Artificial Intelligence Approach

Jean X. Zhang
Copyright: © 2013 |Pages: 8
ISBN13: 9781466621756|ISBN10: 1466621753|EISBN13: 9781466621763
DOI: 10.4018/978-1-4666-2175-6.ch015
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MLA

Zhang, Jean X. "City Manager Compensation and Performance: An Artificial Intelligence Approach." Artificial Higher Order Neural Networks for Modeling and Simulation, edited by Ming Zhang, IGI Global, 2013, pp. 325-332. https://doi.org/10.4018/978-1-4666-2175-6.ch015

APA

Zhang, J. X. (2013). City Manager Compensation and Performance: An Artificial Intelligence Approach. In M. Zhang (Ed.), Artificial Higher Order Neural Networks for Modeling and Simulation (pp. 325-332). IGI Global. https://doi.org/10.4018/978-1-4666-2175-6.ch015

Chicago

Zhang, Jean X. "City Manager Compensation and Performance: An Artificial Intelligence Approach." In Artificial Higher Order Neural Networks for Modeling and Simulation, edited by Ming Zhang, 325-332. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2175-6.ch015

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Abstract

This chapter proposes a nonlinear artificial Higher Order Neural Network (HONN) model to study the relation between manager compensation and performance in the governmental sector. Using a HONN simulator, this study analyzes city manager compensation as a function of local government performance, and compares the results with those from a linear regression model. This chapter shows that the nonlinear model generated from HONN has a smaller Root Mean Squared Error (Root MSE) of 0.0020 as compared to 0.06598 from a linear regression model. This study shows that artificial HONN is an effective tool in modeling city manager compensation.

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