The effects of managerial decision making behaviour and order book size on workload control system implementation in Make-To-Order companies

2013 ◽  
Vol 26 (2) ◽  
pp. 97-115 ◽  
Author(s):  
Mark Stevenson ◽  
Markus Vanharanta

This chapter is focused on a fundamental theoretical approach to management control system research, the contingency theory. Reviewing the most prominent research works over the past 30 years, the main insights on the relationships between contingency factors and the appropriate design of MCS are illustrated and discussed. In particular, this chapter assumes the conventional view that considers MCS as passive tools designed to support managerial decision-making and summarizes the effects of endogenous and exogenous variables on the design of MCS and firm's performance for the achievement of equilibrium conditions.


2010 ◽  
Vol 56 (No. 5) ◽  
pp. 201-208 ◽  
Author(s):  
M. Beranová ◽  
D. Martinovičová

The costs functions are mentioned mostly in the relation to the Break-even Analysis where they are presented in the linear form. But there exist several different types and forms of cost functions. Fist of all, it is necessary to distinguish between the short-run and long-run cost function that are both very important tools of the managerial decision making even if each one is used on a different level of management. Also several methods of estimation of the cost function's parameters are elaborated in the literature. But all these methods are based on the past data taken from the financial accounting while the financial accounting is not able to separate the fixed and variable costs and it is also strongly adjusted to taxation in the many companies. As a tool of the managerial decision making support, the cost functions should provide a vision to the future where many factors of risk and uncertainty influence economic results. Consequently, these random factors should be considered in the construction of cost functions, especially in the long-run. In order to quantify the influences of these risks and uncertainties, the authors submit the application of the Bayesian Theorem.


2021 ◽  
Vol 119 ◽  
pp. 106730
Author(s):  
Tessa Haesevoets ◽  
David De Cremer ◽  
Kim Dierckx ◽  
Alain Van Hiel

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