Integrating accounting and multiplicative calculus: an effective estimation of learning curve

Hasan Özyapıcı (), İlhan Dalcı () and Ali Özyapıcı ()
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Hasan Özyapıcı: Eastern Mediterranean University
İlhan Dalcı: Eastern Mediterranean University
Ali Özyapıcı: Cyprus International University

Computational and Mathematical Organization Theory, 2017, vol. 23, issue 2, No 4, 258-270

Abstract: Abstract Numerical interpolation methods are essential for the estimation of nonlinear functions and they have a wide range of applications in economics and accounting. In this regard, the idea of using interpolation methods based on multiplicative calculus for suitable accounting problems is self-evident. The purpose of this study, therefore, is to develop a way to better estimate the learning curve, which is an exponentially decreasing function, based on multiplicative Lagrange interpolation. The results of this study show that the proposed multiplicative method of learning curve provides more accurate estimates of labour costs when compared to the conventional methods. This is because the exponential functions are linear in multiplicative calculus. Furthermore, the results reveal that using the proposed method enables cost and managerial accountants to better calculate both cost of unused capacity and product cost in a cumulative production represented by a nonlinear function. The results of this study are also expected to help researchers, practitioners, economists, business managers, and cost and managerial accountants to understand how to construct a multiplicative based learning curve to improve such decisions as pricing, profit planning, capacity management, and budgeting.

Keywords: Learning curve; Learning curve estimation; Multiplicative calculus; Multiplicative Lagrange interpolation; Nonlinear estimation (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10588-016-9225-1

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