Applied multivariate statistical analysis
Applied multivariate statistical analysis
Beyond the productivity paradox
Communications of the ACM
Information ecologies: using technology with heart
Information ecologies: using technology with heart
A cooperative approach to support software deployment using the software dock
Proceedings of the 21st international conference on Software engineering
Software Engineering: Theory and Practice
Software Engineering: Theory and Practice
Information Technology and Society: A Reader
Information Technology and Society: A Reader
Effective Measurement and Management of It Costs and Benefits: Key Issues
Effective Measurement and Management of It Costs and Benefits: Key Issues
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Successful Software Applications: Can They Be Evaluated?
COMPSAC '00 24th International Computer Software and Applications Conference
CMMI Guidlines for Process Integration and Product Improvement
CMMI Guidlines for Process Integration and Product Improvement
Foundations of Enterprise Software Deployment
CSMR '00 Proceedings of the Conference on Software Maintenance and Reengineering
Intelligent Software Delivery Using P2P
P2P '02 Proceedings of the Second International Conference on Peer-to-Peer Computing
Systematic Process Improvment Using ISO 9001: 2000 and Cmmi
Systematic Process Improvment Using ISO 9001: 2000 and Cmmi
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The process of software deployment into an organization is a complex process that encompasses various aspects. Studies on the impact of software systems deployment in the customer's environment in the medium and long terms are hardly found, specially when the deployment of the software product and the introduction of data processing into the organization happen at the same time. Nevertheless the client's perception goes beyond the specific moment at which the software was installed. User's and customer's satisfaction can only be evaluated in the long term taking into account the satisfaction with the product use and with its impact on business. This paper describes an empirical study of the introduction of data processing into the coffee agribusiness in Brazil. The paper uses cluster analysis to group 0-1 variables. Theses variables describe the impacts of data processing on the coffee agribusiness in the state of Minas Gerais, one of the main Brazilian coffee producers. Influences on employment, employee and enterprise structure are examined. Some commonly used procedures as well as main changes at corporation and individual level are detected.