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A decision support tool for cross-functional team selection: case study in ACM-ICPC team selection

Published: 25 August 2018 Publication History

Abstract

Choosing the most suitable team is always the urgent requirement in many business domains such as sport, project, business... This process involves the considerations of many factors. The traditional approaches are poor process implementation and bias due to lack of effective tools and personal judgments. This leads to difficulty in measuring the effectiveness at the beginning and sometimes the repair efforts are difficult or not feasible. In this article, we present a method for Cross-Functional Team selection. It helps to choose members from several candidates for our ACM-ICPC team. The selected team is proficiently mastered many skills. We proposed a method for decision making that mainly uses a binary optimization model. This model is based on the idea to minimize the distance between the selected point and the bound point, called MDSB. The proposed method is simple and effective to implement. It is not only specific to the ACM-ICPC but also be the generic method for team selection in many other business domains.

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    cover image ACM Other conferences
    IMMS '18: Proceedings of the 1st International Conference on Information Management and Management Science
    August 2018
    240 pages
    ISBN:9781450364867
    DOI:10.1145/3277139
    • Conference Chair:
    • Shuliang Li
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 25 August 2018

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    Author Tags

    1. ACM-ICPC
    2. MDSB
    3. codeforces
    4. cross-functional team
    5. mixed integer programming
    6. optimization
    7. team selection

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    Cited By

    View all
    • (2021)A Compromise Programming for Multi-Objective Task Assignment ProblemComputers10.3390/computers1002001510:2(15)Online publication date: 25-Jan-2021
    • (2021)The Effectiveness of Reference Point Selection Methods for Compromise Programming in Multi-Criteria Learning Path Search AlgorithmProceedings of the 4th International Conference on Information Management and Management Science10.1145/3485190.3485236(296-302)Online publication date: 27-Aug-2021
    • (2021)Introduction to A Compromise Programming Based Method for Complex Scheduling and Planning ProblemsProceedings of the 4th International Conference on Information Management and Management Science10.1145/3485190.3485231(265-272)Online publication date: 27-Aug-2021
    • (2020)Some Algorithms to Solve a Bi-Objectives Problem for Team SelectionApplied Sciences10.3390/app1008270010:8(2700)Online publication date: 14-Apr-2020
    • (2019)Survey of Hyperledger Blockchain FrameworksProceedings of the 2019 8th International Conference on Software and Computer Applications10.1145/3316615.3316671(472-480)Online publication date: 19-Feb-2019
    • (2019)DCA-Based Algorithm for Cross-Functional Team SelectionProceedings of the 2019 8th International Conference on Software and Computer Applications10.1145/3316615.3316645(125-129)Online publication date: 19-Feb-2019
    • (2019)Combination of Facial Recognition and Interaction with Academic Portal in Automatic Attendance SystemProceedings of the 2019 8th International Conference on Software and Computer Applications10.1145/3316615.3316638(299-305)Online publication date: 19-Feb-2019

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