Life-cycle and total cost analysis of bridge expansion joints

Author(s):  
P Savioz ◽  
T Spuler ◽  
G Moor
Author(s):  
Moneer Helu ◽  
Benjamin Behmann ◽  
Harald Meier ◽  
David Dornfeld ◽  
Gisela Lanza ◽  
...  

Big Data ◽  
2016 ◽  
pp. 1367-1402
Author(s):  
Steve G. Parsons

The large number of cost terms in use regarding information services contributes to confusion in discussion and cost analysis. This confusion can largely be resolved by focusing on decisions rather than on products and cost terms. This decision focus is consistent with the proper application of total cost of ownership approaches and a real options perspective for evaluating managerial flexibility. Information services also tend to display public good-like characteristics. The non-rivalrous nature of production (i.e., low marginal cost of production) and the perishability of services have critical implications for investments and complex pricing. In addition, some information services and other Internet-based services, can display network effects, which also have important implications for managing the life cycle of the service. Finally, the implications of big data for information services are briefly considered.


1998 ◽  
Author(s):  
Nicole L. Wildern ◽  
Jacqueline A. Isaacs

Author(s):  
Steve G. Parsons

The large number of cost terms in use regarding information services contributes to confusion in discussion and cost analysis. This confusion can largely be resolved by focusing on decisions rather than on products and cost terms. This decision focus is consistent with the proper application of total cost of ownership approaches and a real options perspective for evaluating managerial flexibility. Information services also tend to display public good-like characteristics. The non-rivalrous nature of production (i.e., low marginal cost of production) and the perishability of services have critical implications for investments and complex pricing. In addition, some information services and other Internet-based services, can display network effects, which also have important implications for managing the life cycle of the service. Finally, the implications of big data for information services are briefly considered.


2000 ◽  
Vol 11 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Douglas M. Lambert ◽  
Renan Burduroglu

In order to receive adequate rewards for the firm's innovations and performance in logistics, managers have to measure and sell the value that is being provided to customers. Value, once determined, must be sold to customers and also to top management within the firm. There are several value metrics mentioned in the literature, ranging in financial sophistication from customer satisfaction to shareholder value including: customer satisfaction, customer value‐added (CVA), total cost analysis, segment profitability analysis, strategic profit model and shareholder value. While customer satisfaction and CVA may lead to the achievement of higher shareholder value, the specific connection to changes in value for the customer or the supplier are typically not made. The other measures focus on the measurement of value in financial terms. However, financial measurements such as total cost analysis only capture part of the value created by logistics. One of the problems faced by logistics professionals over the years is that logistics has been viewed simply as a cost that needs to be reduced. Segment profitability analysis and the strategic profit model are more complete measures of the impact of logistics, but they are used to evaluate historical performance and lack measures of risk and the time value of money that are included in shareholder value.


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