Using a Capability Perspective to Sustain IT Improvement

被引:0
|
作者
Renaud, Paul E. [1 ]
Narkier, Sheppard D.
Bot, Sonia D. [2 ]
机构
[1] Bell Northern Res, Comp & Networking & Adv Comp Res Lab, Ottawa, ON, Canada
[2] Univ Toronto, Toronto, ON, Canada
关键词
IT function; technology capability; process capability; competency capability; capability improvement; shadow IT; capability; maturity model; enterprise architecture; change management; organizational learning; organizational culture;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A firm's dependency on the information technology (IT) function is increasingly central to its ability to innovate. The IT function must balance this need for change with sustaining consistent, highly reliable operation of all existing services. A firm's ability to rapidly change IT is impeded by its legacy portfolio of applications and infrastructure because changes need to be very carefully managed and understood in order to avoid unintended consequences leading to system failure and process breakdown. The change imperative for IT is urgent and often determines how IT is valued by the rest of the firm. Improving the IT function's agility requires improvement in IT capabilities, which can be categorized into three broad classes: technology, process, and competency. This article identifies the critical success factors for creating sustainable change for each of these three capability classes. It draws on the practical experience of the authors and leverages appropriate standards that provide grounding for change within the IT function of the firm, along with the roles and tasks that will be involved in this change agency. The article is of primary benefit for IT executives seeking to sustain an ongoing, systematic transformation of the IT function to enable IT entrepreneurship and agility.
引用
收藏
页码:28 / 39
页数:12
相关论文
共 50 条
  • [1] Using organic phosphorus to sustain pasture productivity: A perspective
    Nash, David M.
    Haygarth, Philip M.
    Turner, Benjamin L.
    Condron, Leo M.
    McDowell, Richard W.
    Richardson, Alan E.
    Watkins, Mark
    Heaven, Michael W.
    [J]. GEODERMA, 2014, 221 : 11 - 19
  • [2] Design improvement using process capability data
    Delaney, Kevin Dominic
    Phelan, Pat
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (01) : 619 - 624
  • [3] Improvement of Total Transfer Capability using TCSC and SVC
    Ou, Y
    Singh, C
    [J]. 2001 POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2001, : 944 - 948
  • [4] Understanding continuous improvement in an English local authority A dynamic-capability perspective
    Douglas, David
    Jenkins, Wyn
    Kennedy, Jane
    [J]. INTERNATIONAL JOURNAL OF PUBLIC SECTOR MANAGEMENT, 2012, 25 (01) : 17 - +
  • [5] Accountable capability improvement based on interpretable capability evaluation using belief rule base
    LI Xuan
    JIANG Jiang
    SUN Jianbin
    YU Haiyue
    CHANG Leilei
    [J]. Journal of Systems Engineering and Electronics, 2024, 35 (05) - 1244
  • [6] Using wikis in team collaboration: A media capability perspective
    He, Wei
    Yang, Lu
    [J]. INFORMATION & MANAGEMENT, 2016, 53 (07) : 846 - 856
  • [7] PERCEIVED HOSPITAL QUALITY IMPROVEMENT CAPABILITY AND CAPACITY TO SUSTAIN PEDIATRIC EARLY WARNING SYSTEMS IN LATIN AMERICAN PEDIATRIC ONCOLOGY HOSPITALS
    Prewitt, Kim
    Malone, Sara
    Mckay, Virginia
    Luke, Douglas
    Puerto-Torres, Maria
    Agulnik, Asya
    [J]. PEDIATRIC BLOOD & CANCER, 2023, 70
  • [8] Transmission Capability Improvement using Wide Area Monitoring and Control
    Karimi, M. J.
    Ranjbar, A. M.
    Nourizadeh, S.
    [J]. 2008 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE, 2008, : 299 - 303
  • [9] The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer
    Zhang, Anqi
    [J]. PLOS ONE, 2022, 17 (03):
  • [10] Process improvement using fuzzy robust process capability indices
    Kahraman, Cengiz
    Kaya, Ihsan
    [J]. COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 355 - 360