A Mashup-Based Approach to Optimize Human Performance in IT Service Management

Author:

Paula dos Santos Carlos Raniery1,Granville Lisandro Zambenedetti1,Loewenstern David2,Shwartz Larisa (Laura)3,Anerousis Nikos3

Affiliation:

1. Federal University of Rio Grande do Sul, Brazil

2. White Pages, USA

3. IBM T.J. Watson Research Center, USA

Abstract

Modern IT service provider organizations are under a continuous pressure to increase their competitiveness. Ways to reduce costs while improving performance of services are a key focus area for companies in the IT industry. However, despite all the solutions that have been proposed, modeling and optimizing human-centered processes remains a challenging task. The human operator may be influenced by multiple factors and execute the process in a different way each time, thus introducing a significant variability in the final process outcome. Therefore, the goal of this chapter is to introduce the concept of mashups as an effective approach to improve performance in terms of productivity and reliability of human-centered IT Service Management (ITSM) activities. In particular, this chapter aims to define management solutions required to deliver and demonstrate improvements in performance of human-centered ITSM processes. The introduced management solutions are examined through a real case study, related to the Request Fulfillment process.

Publisher

IGI Global

Reference47 articles.

1. The Impact of Service Operations Failures on Customer Satisfaction: Evidence on How Failures and Their Source Affect What Matters to Customers

2. Elements of system design optimization in service quality management

3. A first look at problems in the cloud.;T.Benson;Proceedings of the Usenix Conference On Hot Topics In Cloud Computing,2010

4. On the feasibility of Web 2.0 technologies for network management: a mashup-based approach.;R. S.Bezerra;Proceedings of Network Operations and Management Symposium,2010

5. The Effect of Service Experiences over Time on a Supplier’s Retention of Business Customers

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