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Exploring Subscription Renewal Intention of Operational Cloud Enterprise Systems : A Socio-Technical Approach

Title data

Walther, Sebastian ; Sarker, Saonee ; Sedera, Darshana ; Eymann, Torsten:
Exploring Subscription Renewal Intention of Operational Cloud Enterprise Systems : A Socio-Technical Approach.
2013
Event: 21st European Conference on Information Systems, ECIS 2013 , 5.-8. Juni 2013 , Utrecht, Niederlande.
(Conference item: Conference , No information )

Official URL: Volltext

Abstract in another language

This paper presents a formative measurement index to assess cloud enterprise systems success. The scale development procedure is based on Moore and Benbasat (1991), including newer scale development elements which focus on the creation and assessment of formative constructs. The data is analysed using SmartPLS with a sample of 103 IT decision makers. The results show that the perception of net benefits is shaped not only by enterprise-system-specific factors like productivity improvements and higher quality of business processes, but also by factors which are specifically attributed to cloud systems, such as higher strategic flexibility. Reliability, user requirements and customization contribute most to the overall perception of system quality. Information quality shows no cloud-specific facets and is robust in the context of cloud enterprise systems.

Further data

Item Type: Conference item (No information)
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management > Chair Business Administration VII - Information Systems Management - Univ.-Prof. Dr. Torsten Eymann
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 000 Generalities, Science
300 Social sciences > 330 Economics
Date Deposited: 20 Aug 2014 09:11
Last Modified: 06 Nov 2014 11:35
URI: https://eref.uni-bayreuth.de/id/eprint/914