
Content Infrastructure Management
Results of an empirical study in the print industry
Alexander Benlian(Author)
Deutscher Universitätsverlag
1st Edition
Published on 30. May 2006
Book
Paperback/Softback
XXI, 246 pages
978-3-8350-0368-2 (ISBN)
Description
Information and communication technologies are leading to new forms of collabo- tion and interaction relationships inside and outside of companies. With regard to media companies, this impact is tremendous as resources, products, and processes are virtually immaterial allowing IT to permeate and restructure the entire value chain. However, especially in the print industry, where the impact of digitization on organi- tion designs and business practices is fervently discussed, companies most often realize that the degrees of freedom gained by the emergence of new technologies must be substantiated with rationalistic decision logic. One of the key questions in media companies is the way how and where digital content should be stored to op- mally support primary activities (or core processes). However, state-of-the-art lite- ture in MIS research falls short of giving answers to this question, as hardly the al- cation of hardware, software, or databases has been treated so far - mostly just from one single (or even no) theoretical perspective.
More details
Series
Language
English
Place of publication
Wiesbaden
Germany
Target group
Professional and scholarly
Research
Illustrations
XXI, 246 p.
Dimensions
Height: 210 mm
Width: 148 mm
Thickness: 15 mm
Weight
356 gr
ISBN-13
978-3-8350-0368-2 (9783835003682)
DOI
10.1007/3-8350-5700-6
Schweitzer Classification
Other editions
Additional editions

Alexander Benlian
Content Infrastructure Management
Results of an empirical study in the print industry
E-Book
09/2006
1st Edition
Deutscher Universitätsverlag
€53.49
Available for download
Persons
Dr. Alexander Benlian ist wissenschaftlicher Mitarbeiter von Prof. Dr. Thomas Hess am Institut für Wirtschaftsinformatik und Neue Medien der Universität München
Content
Conceptual foundations.- Causal model specification.- Empirical test of the content allocation model.- Discussion of model findings.- Conclusion.