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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/129964
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/129964


    Title: Candidate Diversity and Granularity in IT Portfolio Construction
    Authors: 杜雨儒
    Tu, Tony Yu-Ju
    Huang, Yu-Hsiang (John)
    Strader, Troy J.
    Subramanyam, Ramanath (Ram)
    Shaw, Michael J.
    Contributors: 資管系
    Keywords: IT portfolio;Diversity;Granularity;Budget;Simulation;Computational experiment
    Date: 2019
    Issue Date: 2020-05-26 15:10:37 (UTC+8)
    Abstract: The construction of a superior IT portfolio remains an open research question in prior literature. For addressing this gap, we investigate two unique characteristics of IT investment projects that may make it more or less likely to construct a superior IT portfolio in this study. We are mainly grounded on the modern portfolio theory to develop propositions regarding the relationships among such characteristics and their impacts on IT portfolio construction performance. Our methodology combines optimization modeling, real-world data, numerical simulation (Monte Carlo), and computational experiment. One main finding shows that, for any set of candidate IT investment projects, their attribute diversity and investment granularity could jointly influence the resultant IT portfolio construction performance. Even when a very tight budget is provided, a set of candidate IT investment projects with higher diversity and granularity would still generate a superior IT portfolio. In other words, the diversity and granularity of IT portfolio construction candidates can positively affect portfolio performance, although budget limits can impose a negative impact on the performance.
    Relation: Information Technology and Management, pp.1-12
    Data Type: article
    DOI 連結: https://doi.org/10.1007/s10799-019-00312-1
    DOI: 10.1007/s10799-019-00312-1
    Appears in Collections:[資訊管理學系] 期刊論文

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