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Risk Profile Contingent Analysis of Management Control Systems: Evidence from the Mechanical Engineering Industry: Unternehmensführung & Controlling

Autor Peter Göstl
en Limba Engleză Paperback – 16 oct 2020
This study contributes to an existing and growing body of literature in the field of management accounting and control concerned with implications from increased uncertainty on MCS design and use. It is found that the choice of MCS reflects the firm’s risk profile, and that firms that choose MCS design and use better suited to their risk profile perform better than others. Using data from a survey of 362 Chief Executive Officers, this study yields a model of fit that enables the stimulation of selective improvements and helps to achieve a competitive advantage.
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Specificații

ISBN-13: 9783658280932
ISBN-10: 365828093X
Ilustrații: XXI, 301 p. 1 illus.
Dimensiuni: 148 x 210 mm
Greutate: 0.39 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria Unternehmensführung & Controlling

Locul publicării:Wiesbaden, Germany

Cuprins

Design of Management Control Systems.- Development of a risk-based MCS framework.- Risk profile contingent design and use of MCS.- Risk profile contingent packages of MCS.- Risk profile contingent performance analysis of MCS.

Notă biografică

Dr. Peter Göstl studied mechanical engineering and economics as well as business administration in Vienna and is currently responsible for the overall operations of a medium-sized company in the area of mechanical engineering located in Austria. As CEO and Managing Director he focuses specifically on management control, strategic management, and the development of the organization.

Textul de pe ultima copertă

This study contributes to an existing and growing body of literature in the field of management accounting and control concerned with implications from increased uncertainty on MCS design and use. It is found that the choice of MCS reflects the firm’s risk profile, and that firms that choose MCS design and use better suited to their risk profile perform better than others. Using data from a survey of 362 Chief Executive Officers, this study yields a model of fit that enables the stimulation of selective improvements and helps to achieve a competitive advantage.
Contents
  • Design of Management Control Systems
  • Development of a risk-based MCS framework
  • Risk profile contingent design and use of MCS
  • Risk profile contingent packages of MCS
  • Risk profile contingent performance analysis of MCS
Target Groups
  • Scholars and students of business administration, strategy and managerial accounting, management science, and risk management
  • Specialists and executive staff in the field of business leadership, management control, strategic management, and risk-based enterprise management
About the Author
Dr. Peter Göstl studied mechanical engineering and economics as well as business administration in Vienna and is currently responsible for the overall operations of a medium-sized company in the area of mechanical engineering located in Austria. As CEO and Managing Director he focuses specifically on management control, strategic management, and the development of the organization.

Caracteristici

Publication in the field of management accounting and control