IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0281603.html
   My bibliography  Save this article

Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study

Author

Listed:
  • Robert M X Wu
  • Yongwen Wang
  • Niusha Shafiabady
  • Huan Zhang
  • Wanjun Yan
  • Jinwen Gou
  • Yong Shi
  • Bao Liu
  • Ergun Gide
  • Changlong Kang
  • Zhongwu Zhang
  • Bo Shen
  • Xiaoquan Li
  • Jianfeng Fan
  • Xiangqian He
  • Jeffrey Soar
  • Haijun Zhao
  • Lei Sun
  • Wenying Huo
  • Ya Wang

Abstract

This research aims to explore the multi-focus group method as an effective tool for systematically eliciting business requirements for business information system (BIS) projects. During the COVID-19 crisis, many businesses plan to transform their businesses into digital businesses. Business managers face a critical challenge: they do not know much about detailed system requirements and what they want for digital transformation requirements. Among many approaches used for understanding business requirements, the focus group method has been used to help elicit BIS needs over the past 30 years. However, most focus group studies about research practices mainly focus on a particular disciplinary field, such as social, biomedical, and health research. Limited research reported using the multi-focus group method to elicit business system requirements. There is a need to fill this research gap. A case study is conducted to verify that the multi-focus group method might effectively explore detailed system requirements to cover the Case Study business’s needs from transforming the existing systems into a visual warning system. The research outcomes verify that the multi-focus group method might effectively explore the detailed system requirements to cover the business’s needs. This research identifies that the multi-focus group method is especially suitable for investigating less well-studied, no previous evidence, or unstudied research topics. As a result, an innovative visual warning system was successfully deployed based on the multi-focus studies for user acceptance testing in the Case Study mine in Feb 2022. The main contribution is that this research verifies the multi-focus group method might be an effective tool for systematically eliciting business requirements. Another contribution is to develop a flowchart for adding to Systems Analysis & Design course in information system education, which may guide BIS students step by step on using the multi-focus group method to explore business system requirements in practice.

Suggested Citation

  • Robert M X Wu & Yongwen Wang & Niusha Shafiabady & Huan Zhang & Wanjun Yan & Jinwen Gou & Yong Shi & Bao Liu & Ergun Gide & Changlong Kang & Zhongwu Zhang & Bo Shen & Xiaoquan Li & Jianfeng Fan & Xian, 2023. "Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-16, March.
  • Handle: RePEc:plo:pone00:0281603
    DOI: 10.1371/journal.pone.0281603
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281603
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0281603&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0281603?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hae Won Kim & Duck Hee Kim & Hyang Yuol Lee & Young Jin Lee & Hye Young Ahn, 2020. "Adult Perceptions of Healthy Pregnancy: A Focus-Group Study," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    2. In Hwa Shim & In Ok Sim, 2020. "A Study of the Experience of Working Adults on Regular Choral Activities: Applying Focus Groups," IJERPH, MDPI, vol. 17(23), pages 1-12, November.
    3. Robert M X Wu & Zhongwu Zhang & Wanjun Yan & Jianfeng Fan & Jinwen Gou & Bao Liu & Ergun Gide & Jeffrey Soar & Bo Shen & Syed Fazal-e-Hasan & Zengquan Liu & Peng Zhang & Peilin Wang & Xinxin Cui & Zha, 2022. "A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-26, January.
    4. Alexandra Pulst & Alexander Maximilian Fassmer & Falk Hoffmann & Guido Schmiemann, 2020. "Paramedics’ Perspectives on the Hospital Transfers of Nursing Home Residents—A Qualitative Focus Group Study," IJERPH, MDPI, vol. 17(11), pages 1-16, May.
    5. Phipps, Polly A & Butani, Shail J & Chun, Young I, 1995. "Research on Establishment-Survey Questionnaire Design," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 337-346, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodhouse, Joseph, 2020. "Modernizing the NASS Customer Experience: Findings from Virtual Focus Groups on the Respondent Portal Dashboard," NASS Research Reports 327240, United States Department of Agriculture, National Agricultural Statistics Service.
    2. Zhiqiang Cai & Wenjie Zhang, 2024. "Quantitative evidence of the community of shared future for mankind as a driver of sustainable development in human society," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    3. Llinos Haf Spencer & Mary Lynch & Gwenlli Mair Thomas & Rhiannon Tudor Edwards, 2023. "Intergenerational Deliberations for Long Term Sustainability," Challenges, MDPI, vol. 14(1), pages 1-16, February.
    4. Linlin Zhang & An Pan & Shuangshuang Feng & Yaoyao Qin, 2022. "Digital economy, technological progress, and city export trade," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-17, June.
    5. Liqiang Shen & Zexian Li & Jiaxin Hao & Lei Wang & Huanhuan Chen & Yuejian Wang & Baofei Xia, 2025. "Evaluating the Dynamic Response of Cultivated Land Expansion and Fallow Urgency in Arid Regions Using Remote Sensing and Multi-Source Data Fusion Methods," Agriculture, MDPI, vol. 15(8), pages 1-27, April.
    6. Tao Li & Jiayi Sun & Liguo Fei, 2025. "Application of Multiple-Criteria Decision-Making Technology in Emergency Decision-Making: Uncertainty, Heterogeneity, Dynamicity, and Interaction," Mathematics, MDPI, vol. 13(5), pages 1-45, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0281603. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.