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Readiness Measurement Model (RMM): Mathematical-Based Evaluation Technique for the Quantification of Knowledge Acquisition, Individual Understanding, and Interface Acceptance Dimensions of Software Applications on Handheld Devices

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Advanced Computational Methods for Knowledge Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 453))

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Abstract

This paper presents a mathematical-based evaluation technique as a new method in assessing the readiness of handheld application usage. This research considers specifically the quantification of readiness parameters useful to express and estimate the overall readiness of handheld application usage. As a result, a new and simple mathematical-based evaluation model for assessing the readiness of handheld application usage, namely Readiness Measurement Model (RMM), was established. The proposed model integrates three dimensions for evaluating handheld application usage readiness including knowledge acquisition, individual understanding, and interface acceptance.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kem Perdana Sg Besi, Kuala Lumpur, Malaysia

    Amalina F.A. Fadzlah

Authors
  1. Amalina F.A. Fadzlah
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Correspondence to Amalina F.A. Fadzlah .

Editor information

Editors and Affiliations

  1. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Thanh Binh Nguyen

  2. Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  3. Laboratory of Theoretical and Applied Computer Science (LITA), UFR MIM, University of Lorraine, Ile du Saulcy, Metz, France

    Hoai An Le Thi

  4. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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Fadzlah, A.F. (2016). Readiness Measurement Model (RMM): Mathematical-Based Evaluation Technique for the Quantification of Knowledge Acquisition, Individual Understanding, and Interface Acceptance Dimensions of Software Applications on Handheld Devices. In: Nguyen, T.B., van Do, T., An Le Thi, H., Nguyen, N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-38884-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-38884-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38883-0

  • Online ISBN: 978-3-319-38884-7

  • eBook Packages: EngineeringEngineering (R0)

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