2023
DOI: 10.1371/journal.pone.0281603
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Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study

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, th… Show more

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Cited by 4 publications
(3 citation statements)
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“…Focus groups method is a research technique that “collects data through group interaction on a topic determined by a researcher” (Morgan, 1996, p. 130) and can be used to refine a conceptual model and understand the associations between variables to validate a conceptual model or guide a series of case studies, as the group sessions allow for the confirmation of case study design with regards to topics, scale, and scope (Krueger, 1998). Multifocus groups are especially useful to help elicit the requirements of information systems (Wu et al. , 2023), as they enhance the features of single-focus groups by engaging more interaction through iteration, generate abundant data, and lead to a more comprehensive understanding.…”
Section: Methodsmentioning
confidence: 99%
“…Focus groups method is a research technique that “collects data through group interaction on a topic determined by a researcher” (Morgan, 1996, p. 130) and can be used to refine a conceptual model and understand the associations between variables to validate a conceptual model or guide a series of case studies, as the group sessions allow for the confirmation of case study design with regards to topics, scale, and scope (Krueger, 1998). Multifocus groups are especially useful to help elicit the requirements of information systems (Wu et al. , 2023), as they enhance the features of single-focus groups by engaging more interaction through iteration, generate abundant data, and lead to a more comprehensive understanding.…”
Section: Methodsmentioning
confidence: 99%
“…Support vector machines (SVM): SVM is a robust algorithm (Shafiabady et al, 2023;Wu Robert et al, 2023) with vast applicability in testing and data mining with large data sets. It aims to create the best line or decision boundary that can segregate the n-dimensional space into classes to quickly place the new data points in the correct category in the future.…”
Section: Machine Learning Algorithmsmentioning
confidence: 99%
“…AI advancements in the last decade have paved the way for an innovative and more digitalised society. AI plays a pivotal role in various facets of humans in daily life, industry, and business [ 26 29 ]. The utilisation of AI for business and industrial applications has been commonplace in previous years [ 19 23 ].…”
Section: Introductionmentioning
confidence: 99%