Exploring the use of the Delphi method in accounting information systems research

Worrell, James L.; Gangi, Paul Michael Di; Bush, Ashley A.

doi:10.1016/j.accinf.2012.03.003

Cited by 96 publications

(91 citation statements)

References 45 publications

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“…Delphi study was originated by a California think tank in early 1950 by utilizes expert knowledge for forecasting or for evaluation [38] [39]. In our approach, we adopted and used the Delphi method to evaluate and get deeper insights into the different influencing factors of the use of CRM in a public cloud environment.…”

Section: Research Design Methods and Data Collectionmentioning

confidence: 99%

“…In our approach, we adopted and used the Delphi method to evaluate and get deeper insights into the different influencing factors of the use of CRM in a public cloud environment. In multiple rounds, the experts alter their opinions anonymous and in general based on the feedback of the prior rounds [38].…”

Section: Research Design Methods and Data Collectionmentioning

confidence: 99%

“…This method is often used in IS research (e.g. [36] [37] [38] ) to get insights in research field without knowing all dependencies and characteristics before.…”

Section: Research Design Methods and Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Customer Relationship Management in a Public Cloud environment - Key influencing factors for European enterprises

Möhring

Keller

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Research Design Methods and Data Collectionmentioning

confidence: 99%

Section: Research Design Methods and Data Collectionmentioning

confidence: 99%

See 1 more Smart Citation

Customer Relationship Management in a Public Cloud environment - Key influencing factors for European enterprises

Möhring

Keller

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…Each process occurs at least once per life cycle of the project [2]. The risk identification process is crucial for the efficient execution of risk management in projects because the wrong identification of risks influences directly in the failure of a product or service, because it is difficult to manage something not well known [8]. Therefore, the project managers must promote actions to provide a complete and comprehensive identification of risks.…”

Section: Risk Managementmentioning

confidence: 99%

“…After a few evaluation rounds, the consensus is obtained. Therefore, the Delphi Technique helps to reduce data partiality because it prevents personal influence on identified risks [2,8].…”

Section: Risk Managementmentioning

confidence: 99%

Improving risk identification process in project management

Contessoto

Sant'Ana²,

Souza

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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-Nowadays there are many information systems which aim the decision-making, automating the processes of project management. However, many times these systems limit the specific functions related to risk management processes and do not allow the control and effective treatment of uncertain events that may affect the project goals. Thus, this paper proposes the integrated use of the Delphi Technique and Risk Breakdown Structure -RBS in order to contribute to the identification of risks, considering the opportunities and threats in a project, to enhance the beneficial effects of the opportunities and avoid the harmful effects of threats. For the evaluation of the results, it was performed the improvement of a system called System to Aid Project Managing -SAPM, in order to support the automated execution of risk management with an emphasis on risk identification process, since this is a crucial stage for risk management in projects. As a result of this work, it is observed that the combined use of the Delphi Technique and RBS allows the risk identification process can be performed fast and safely through the anonymity of those involved and global visualization of the project.

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A comprehensive framework for the sustainability indicators in the textile industry of developing countries

Fadara,

Wong,

Zarei

2024

Bus Strat Dev

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Textile production in developing countries is known to be associated with significant environmental, social, and economic challenges. Existing research has mostly focused on singular aspects of sustainability, while no consensus exists on the importance and applicability of sustainability indicators. To address these gaps, this study utilized an integrated approach involving the Delphi method and the fuzzy best‐worst method (BWM) to develop a comprehensive framework by identifying and formulating sustainability indicators tailored for the textile industry in developing countries and assess their importance and applicability. Through three consecutive rounds of Delphi, a total of 64 sustainability indicators were identified (16 economic, 24 environmental, and 24 social indicators). Next, fuzzy BWM was employed to determine the importance and applicability of these indicators. The results show that (a) environmental indicators overall have higher applicability scores, (b) the top three critical indicators were raw material usage, operational costs, and fuel consumption, and (c) nearly half of the indicators (29/64) were deemed highly applicable, with 34.5% (10/29) of these falling under environmental, 34.5% (10/29) under economic, and 31% (9/29) under social dimensions. Finally, the utility of the framework is demonstrated through an empirical case study in a textile manufacturing company in Nigeria.

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Exploring the use of the Delphi method in accounting information systems research

Cited by 96 publications

References 45 publications

Customer Relationship Management in a Public Cloud environment - Key influencing factors for European enterprises

Customer Relationship Management in a Public Cloud environment - Key influencing factors for European enterprises

Improving risk identification process in project management

A comprehensive framework for the sustainability indicators in the textile industry of developing countries

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