• 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