Data warehousing infusion and organizational effectiveness

被引:25
|
作者
Ramamurthy, K. [1 ]
Sen, Arun [2 ]
Sinha, Atish R. [1 ]
机构
[1] Univ Wisconsin, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA
[2] Texas A&M Univ, Mays Business Sch, Dept Informat & Operat Management, College Stn, TX 77845 USA
关键词
data warehousing (DW); field study; information technology (IT) infrastructure; infusion; innovation diffusion; organizational decision support; organizational outcomes;
D O I
10.1109/TSMCA.2008.923032
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Data warehousing (DW) has emerged as one of the most powerful, technology innovations in recent years to support organization-wide decision making and has become a key component in the information technology (IT) infrastructure. Proponents of DW claim that its infusion can dramatically enhance the ability of businesses to improve the access, distribution, and sharing of information and provide managerial decision support for complex business questions. DW is also an enabling technology for data mining, customer-relationship management, and other business-intelligence applications. Although data warehouses have been around for quite some time, they have been plagued by high failure rates and limited spread or use. Drawing upon past research on the adoption and diffusion of innovations and on the implementation of information systems (IS), we examine the key organizational and innovation factors that influence the infusion (diffusion) of DW within organizations and also examine if more extensive infusion leads to improved organizational outcomes. In this paper, we conducted a field study, where two senior managers (one from IS and the other from a line function) from 117 companies participated, and developed a structural model to test the research hypotheses. The results indicate that four of the seven variables examined in this paper-organizational support, quality of the project management process, compatibility, and complexity-significantly influence the degree of infusion of DW and that the infusion, in turn, significantly influences organization-level benefits and stakeholder satisfaction. The findings of this paper have interesting implications for both research and practice in IT and DW infusion, as well as in the organization-level impact of the infusion of enterprise-wide infrastructural and decision support technologies such as DW.
引用
收藏
页码:976 / 994
页数:19
相关论文
共 50 条
  • [21] Data transformation for warehousing Web data
    Zhu, Y
    Bornhövd, C
    Buchmann, AP
    THIRD INTERNATIONAL WORKSHOP ON ADVANCED ISSUES OF E-COMMERCE AND WEB-BASED INFORMATION SYSTEMS, PROCEEDINGS, 2001, : 74 - 85
  • [22] A Casestudy of Data Models in Data Warehousing
    Mishra, Deepti
    Yazici, Ali
    Basaran, Beril Pinar
    2008 FIRST INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES, VOLS 1 AND 2, 2008, : 321 - 326
  • [23] Data Warehousing: Cleaning and Transforming Data
    White, C.
    InfoDB, 10 (06):
  • [24] Beyond data warehousing→data logistics
    Karlapalem, K
    KNOWLEDGE MANAGEMENT & INTELLIGENT ENTERPRISES, 2001, : 29 - 33
  • [25] A Framework for Data Quality in Data Warehousing
    Nemani, Rao R.
    Konda, Ramesh
    INFORMATION SYSTEMS: MODELING, DEVELOPMENT, AND INTEGRATION: THIRD INTERNATIONAL UNITED INFORMATION SYSTEMS CONFERENCE, UNISCON 2009, 2009, 20 : 292 - +
  • [26] Data Warehousing, Data Mining, & OLAP
    Gupta, Palak
    JIMS8M-THE JOURNAL OF INDIAN MANAGEMENT & STRATEGY, 2019, 24 (02) : 64 - 64
  • [27] Obtain weather data with data warehousing
    Peyravi, M. H.
    Dehkordi, P. Khosraviyan
    Nejad, Z. Davari
    6TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE, PROCEEDINGS, 2007, : 549 - +
  • [28] Data Modeling Styles in Data Warehousing
    Jovanovic, V.
    Subotic, D.
    Mrdalj, S.
    2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1458 - 1463
  • [29] Data warehousing and data mining for telecommunications
    不详
    DATABASE, 1998, 21 (03): : 94 - 94
  • [30] Work climate and organizational effectiveness: The application of data envelopment analysis in organizational research
    Gelade, G
    Gilbert, P
    ORGANIZATIONAL RESEARCH METHODS, 2003, 6 (04) : 482 - 501