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Use of RFID Technology for Automatic Job Costing

Author

Listed:
  • Jeremy C. Bellah

    (College of Business Administration, Sam Houston State University, Huntsville, TX, USA)

  • Kunpeng Li

    (Department of Management, Utah State University, Logan, UT, USA)

  • Pamela J. Zelbst

    (College of Business Administration, Sam Houston State University, Huntsville, TX, USA)

  • Qiannong Gu

    (Department of Information Systems and Operations Management, Ball State University, Muncie, IN, USA)

Abstract

Radio frequency identification (RFID) technology has been used to collect information for use in information systems that support knowledge-based business decisions. Most applications involve using the technology for automatic identification and tracking within facilities and supply chains. However, there are a number of other uses for the technology in the context of supporting knowledge-based decisions. By describing an innovative use of RFID technology, this study contributes to research and practice in the area of knowledge-based tools. Specifically, the process created in this study uses RFID technology to automatically and accurately calculate job costing information for fixed-position projects. By implementing the methods described in this process, business professionals can reap important benefits from the knowledge generated by the system.

Suggested Citation

  • Jeremy C. Bellah & Kunpeng Li & Pamela J. Zelbst & Qiannong Gu, 2013. "Use of RFID Technology for Automatic Job Costing," International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 4(3), pages 72-88, July.
    • Handle: RePEc:igg:jissc0:v:4:y:2013:i:3:p:72-88
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    Cited by:

    1. Brandão de Vasconcelos, Ana & Cabaço, António & Pinheiro, Manuel Duarte & Manso, Armando, 2016. "The impact of building orientation and discount rates on a Portuguese reference building refurbishment decision," Energy Policy, Elsevier, vol. 91(C), pages 329-340.
    2. Raugei, Marco & Leccisi, Enrica, 2016. "A comprehensive assessment of the energy performance of the full range of electricity generation technologies deployed in the United Kingdom," Energy Policy, Elsevier, vol. 90(C), pages 46-59.

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