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
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