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Focus group methods: Using interactive and nominal groups to explore emerging technology-driven phenomena in accounting and information systems

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  • Sutton, Steve G.
  • Arnold, Vicky

Abstract

This paper puts forth arguments for why focus group methods should be used more frequently in accounting and information technology research in order to address emerging technology-driven phenomena in accounting. In this overview of focus group methods and their application to studying accounting and information technology phenomena, we focus on what alternative types of focus group methods may be applied, when such methods are applicable, and what methodological challenges the researcher must address. In examining the methodological challenges that face researchers when using these methods, we demonstrate how these challenges have been addressed in our own research as a way of exemplifying the challenges researchers may face and what compensating strategies researchers might use. Our objective is to highlight when focus groups may be the best method for accounting information systems researchers and demonstrate how they can be used when they are applicable.

Suggested Citation

  • Sutton, Steve G. & Arnold, Vicky, 2013. "Focus group methods: Using interactive and nominal groups to explore emerging technology-driven phenomena in accounting and information systems," International Journal of Accounting Information Systems, Elsevier, vol. 14(2), pages 81-88.
    • Handle: RePEc:eee:ijoais:v:14:y:2013:i:2:p:81-88
    DOI: 10.1016/j.accinf.2011.10.001
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    Cited by:

    1. Paulo Renato de Sousa & Marcelo Werneck Barbosa & Leise Kelli de Oliveira & Paulo Tarso Vilela de Resende & Ricardo Ruiz Rodrigues & Myrian Teixeira Moura & Daniel Matoso, 2021. "Challenges, Opportunities, and Lessons Learned: Sustainability in Brazilian Omnichannel Retail," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    2. Kovacic, Zora & Giampietro, Mario, 2015. "Empty promises or promising futures? The case of smart grids," Energy, Elsevier, vol. 93(P1), pages 67-74.
    3. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Muhammad Ridhuan Tony Lim Abdullah & Saedah Siraj & Zulkipli Ghazali, 2021. "An ISM Approach for Managing Critical Stakeholder Issues Regarding Carbon Capture and Storage (CCS) Deployment in Developing Asian Countries," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    5. Kwon, Heeyeul & Park, Yongtae & Geum, Youngjung, 2018. "Toward data-driven idea generation: Application of Wikipedia to morphological analysis," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 56-80.
    6. Ferenc Bognár & Petra Benedek, 2021. "Case Study on a Potential Application of Failure Mode and Effects Analysis in Assessing Compliance Risks," Risks, MDPI, vol. 9(9), pages 1-16, September.
    7. Chia-Lee Yang & Benjamin J. C. Yuan & Chi-Yo Huang, 2015. "Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method," Sustainability, MDPI, vol. 7(5), pages 1-40, May.
    8. Marcin Kozak & Olesia Iefremova, 2014. "Implementation Of The Delphi Technique In Finance," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 10(4), pages 36-45, May.
    9. De Marinis, Pietro & Sali, Guido, 2020. "Participatory analytic hierarchy process for resource allocation in agricultural development projects," Evaluation and Program Planning, Elsevier, vol. 80(C).

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