DocumentCode :
2286447
Title :
Factors influencing enterprise to improve data quality in information systems application —An empirical research on 185 enterprises through field study
Author :
Xiao, Jing-Hua ; Xie, Kang ; Wan, Xiao-Wei
Author_Institution :
Bus. Sch., Sun Yat-sen Univ., Guangzhou, China
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
23
Lastpage :
33
Abstract :
Management of data quality has become the bottleneck for enterprises to upgrade their application of information technology (IT). Based on the theory of total quality management, this paper presents five influencing factors of data quality from the perspective of organizational management, namely top management support, capability on regulation and process management, business-IT alignment, staff participation and integration of information systems (IS). At the same time, this paper establishes a process model of influencing factors, and conducts an empirical analysis through a field study of 185 enterprises. The results show that the influence of five factors presents transfer characteristics clearly. Top management support has an effect upon the capability on regulation and process management, and business-IT alignment directly, while indirectly on staff participation and integration of IS. Capability on regulation and process management, and business-IT alignment exert a direct impact on staff participation and integration of IS, while indirectly on data quality. Staff participation and integration of IS shows a direct impact on data quality. Finally, this paper presents some suggestions on improving data quality.
Keywords :
business data processing; corporate modelling; information management; information systems; organisational aspects; total quality management; business-IT alignment; capability on regulation; data quality; enterprise; influencing factors; information system integration; information systems application; information technology; organizational management; process management; quality management; staff participation; top management support; Conference management; Data engineering; Engineering management; Information systems; Information technology; Management information systems; Project management; Quality management; Sun; Technology management; data quality; field study; influencing factors; information system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3970-6
Electronic_ISBN :
978-1-4244-3971-3
Type :
conf
DOI :
10.1109/ICMSE.2009.5317534
Filename :
5317534
Link To Document :
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