Intelligent Decision Making and Risk Analysis for IT Management Processes

Masoud Mohammadian, Ric Jentzsch

    Research output: A Conference proceeding or a Chapter in BookChapter

    Abstract

    IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system
    Original languageEnglish
    Title of host publicationCases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat
    EditorsMustafa Alshawi, Mohammed Arif
    Place of PublicationUSA
    PublisherIGI Global
    Pages255-276
    Number of pages22
    Edition1
    ISBN (Print)9781613503119
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Risk analysis
    Decision making
    Management process
    IT management
    Chief information officer
    Monitoring
    Vulnerability
    Inefficiency
    Management system
    Process model
    Interdependencies
    Fuzzy cognitive maps
    Planning

    Cite this

    Mohammadian, M., & Jentzsch, R. (2011). Intelligent Decision Making and Risk Analysis for IT Management Processes. In M. Alshawi, & M. Arif (Eds.), Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat (1 ed., pp. 255-276). USA: IGI Global. https://doi.org/10.4018/978-1-61350-311-9.ch011
    Mohammadian, Masoud ; Jentzsch, Ric. / Intelligent Decision Making and Risk Analysis for IT Management Processes. Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat. editor / Mustafa Alshawi ; Mohammed Arif. 1. ed. USA : IGI Global, 2011. pp. 255-276
    @inbook{d2350ef8a01c439284b63779c62cb30c,
    title = "Intelligent Decision Making and Risk Analysis for IT Management Processes",
    abstract = "IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system",
    keywords = "Intelligent Decision Making, Information Technology, Risk Analysis",
    author = "Masoud Mohammadian and Ric Jentzsch",
    year = "2011",
    doi = "10.4018/978-1-61350-311-9.ch011",
    language = "English",
    isbn = "9781613503119",
    pages = "255--276",
    editor = "Mustafa Alshawi and Mohammed Arif",
    booktitle = "Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat",
    publisher = "IGI Global",
    edition = "1",

    }

    Mohammadian, M & Jentzsch, R 2011, Intelligent Decision Making and Risk Analysis for IT Management Processes. in M Alshawi & M Arif (eds), Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat. 1 edn, IGI Global, USA, pp. 255-276. https://doi.org/10.4018/978-1-61350-311-9.ch011

    Intelligent Decision Making and Risk Analysis for IT Management Processes. / Mohammadian, Masoud; Jentzsch, Ric.

    Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat. ed. / Mustafa Alshawi; Mohammed Arif. 1. ed. USA : IGI Global, 2011. p. 255-276.

    Research output: A Conference proceeding or a Chapter in BookChapter

    TY - CHAP

    T1 - Intelligent Decision Making and Risk Analysis for IT Management Processes

    AU - Mohammadian, Masoud

    AU - Jentzsch, Ric

    PY - 2011

    Y1 - 2011

    N2 - IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system

    AB - IT management processes have been growing as the development of modern IT systems has grown. These are often complex with multiple interdependencies that can make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of potential risks. These risks have the potential to translate into decision making inefficiencies for an organization. Risk analysis for decision making in the planning and monitoring of these systems can be a complex and demanding task. Intelligent decision making in IT management processes and systems are a crucial element of an organization’s success and its competitive position in the marketplace. This chapter considers the implementation of Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in an IT management process model. By using FCMs, CIOs can regularly review and improve their IT management processes and provide greater improvement in development, monitoring and maintenance of those processes. CIOs can perform what-if analysis to better understand vulnerabilities of their designed system

    KW - Intelligent Decision Making

    KW - Information Technology

    KW - Risk Analysis

    U2 - 10.4018/978-1-61350-311-9.ch011

    DO - 10.4018/978-1-61350-311-9.ch011

    M3 - Chapter

    SN - 9781613503119

    SP - 255

    EP - 276

    BT - Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat

    A2 - Alshawi, Mustafa

    A2 - Arif, Mohammed

    PB - IGI Global

    CY - USA

    ER -

    Mohammadian M, Jentzsch R. Intelligent Decision Making and Risk Analysis for IT Management Processes. In Alshawi M, Arif M, editors, Cases on E-Readiness and Information Systems Management in Organizations: Tools for Maximizing Strat. 1 ed. USA: IGI Global. 2011. p. 255-276 https://doi.org/10.4018/978-1-61350-311-9.ch011