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Models Of Trust-Sharing In Chinese Private Enterprises, Zhong Qin, Guibin Zhang
Models Of Trust-Sharing In Chinese Private Enterprises, Zhong Qin, Guibin Zhang
Faculty of Commerce - Papers (Archive)
This paper presents two related models of development patterns of Chinese private enterprises. They illustrate incentive-based reasons for ownership arrangements of private enterprises, and highlight how institutional foundations of trust, particularly government and family-based cultural values, play an important role in influencing the development of private enterprises. These models attempt to explain why government and family-based culture are crucial for the ownership structure and management of private enterprises. The main argument in the models is that the structure of family businesses can be viewed, in essence, as a form of trust-sharing (Guanxi-sharing) arrangement within the firm. Furthermore, the increase in …
Advanced Capacity Cost Management Models: Making Visible The Structural Limits Of Capacity, Ted Watts, C J. Mcnair-Connolly, Vicki Baard, Lidija Polutnik
Advanced Capacity Cost Management Models: Making Visible The Structural Limits Of Capacity, Ted Watts, C J. Mcnair-Connolly, Vicki Baard, Lidija Polutnik
Faculty of Commerce - Papers (Archive)
Purpose This paper fills the gap between defining and measuring the productive limits of a machine or system, and the impact of various assumptions about the productive potential of the nature and informativeness of capacity cost management systems. The authors focused on the various ways in which multi-dimensional limits (for example, time, space, volume and/or value-creating ability) can be used to define productive capacity. Specifically, this research suggests that the limits used in establishing the capacity cost management system restricts the amount and nature of the information the system is capable of providing to management.Justification Two reasons are identified for …
Fitting Finite Mixtures Of Linear Mixed Models With The Em Algorithm, Bettina Grun
Fitting Finite Mixtures Of Linear Mixed Models With The Em Algorithm, Bettina Grun
Faculty of Commerce - Papers (Archive)
Finite mixtures of linear mixed models are increasily applied in differentareas of application. They conveniently allow to account for correlations betweenobservations from the same individual and to model unobserved heterogeneity betweenindividuals at the same time. Different variants of the EM algorithm arepossible for maximum likelihood (ML) estimation. In this paper two different versionsfor fitting this model class are presented. One variant of the EM algorithmrequires weighted ML estimation. As this fitting method might not be readily availablein standard software sufficient conditions which allow to transform a weightedinto an unweighted ML estimation problem are derived.