A Framework for Conducting Numerical Experiments on Cost System Design

2018 ◽  
Vol 31 (1) ◽  
pp. 41-61 ◽  
Author(s):  
Vic V. Anand ◽  
Ramji Balakrishnan ◽  
Eva Labro

ABSTRACT This paper aims to advance the use of numerical experiments in the study of cost system design. As with laboratory and field experiments, researchers must decide on the independent variables and their levels, the experimental design, and the dependent variables. Options for dependent and independent variables are ample, as are ways to model the relations among these variables. We provide a modular framework that provides structure to these variables, their definitions, and the modeling of connections among them. Further, we offer insights into the design and layout of output data files to facilitate data analysis. We also present tips on how to report the results from such numerical experiments effectively. Finally, we provide C# source code for many of these modules in an online appendix. We hope that the framework and guidance provided in this paper will promote further meaningful work in this important area of management accounting. Data Availability: The appendix and computer code that accompany this paper are available for downloading at https://github.com/vanand74/CostSystemSim. We request that anybody who downloads the code and amends it for their research paper purposes acknowledges their use of this code and references this paper in an acknowledgement section.

2019 ◽  
Vol 150 (4) ◽  
pp. 1853-1870 ◽  
Author(s):  
R. I. Dmytryshyn

AbstractIn the paper the correspondence between a formal multiple power series and a special type of branched continued fractions, the so-called ‘multidimensional regular C-fractions with independent variables’ is analysed providing with an algorithm based upon the classical algorithm and that enables us to compute from the coefficients of the given formal multiple power series, the coefficients of the corresponding multidimensional regular C-fraction with independent variables. A few numerical experiments show, on the one hand, the efficiency of the proposed algorithm and, on the other, the power and feasibility of the method in order to numerically approximate certain multivariable functions from their formal multiple power series.


2020 ◽  
Vol 8 (1) ◽  
pp. 920-929
Author(s):  
Majdy I. Zuriekat

Purpose: The purpose of this study is to reveal and examine the nature of costing systems design alongside the usage of new manufacturing practices in Jordanian Manufacturing Companies. Design/Methodology/Approach: For carrying out the study, 86 managers from 43 manufacturing companies received the study questionnaire from which 56 were valid for data analysis. The study results are presented using multiple regression analysis. Findings: The results using multiple regressions indicate that Just in Time (JIT), Total Quality Management (TQM) and Product Diversity (PD) has a significant influence on costing systems design. Implications: This study provides evidence on the importance of using management practices as a driver for companies to use a broader perspective for designing costing systems. Responding managers have now empirical evidence regarding the manufacturing practices needed to design costing systems to their companies. Originality/Value: This is the first attempt to examine the manufacturing practices as a driver for cost system design. The study also provides significant managerial implications on how to use manufacturing practices to ensure better cost system design.


2020 ◽  
Vol 129 (6) ◽  
pp. 35-42
Author(s):  
Noriyuki Shirai ◽  
Shogo Kawashima ◽  
Tomoya Ijiguchi ◽  
Akihiko Sato ◽  
Hiroaki Miyasaka ◽  
...  

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