Grounded Theory and Actor-Network Theory

Davey, Bill; Adamopoulos, Arthur

doi:10.4018/ijantti.2016010102

Cited by 3 publications

(4 citation statements)

References 13 publications

(19 reference statements)

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“…Although GT develops theories from rigorous data gathering, the research process requires a certain sensitivity 18,31 . We stress that the researcher experience heavily influences the data codification and the emergence of themes and ideas.…”

Section: Methodsmentioning

confidence: 99%

“…18 Although GT develops theories from rigorous data gathering, the research process requires a certain sensitivity. 18,31 We stress that the researcher experience heavily influences the data codification and the emergence of themes and ideas. Therefore, main criticism on this theory is the possible introduction of bias, given that truly inductive analysis may not be achievable.…”

Section: Network Creationmentioning

confidence: 99%

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On the clinical acceptance of black‐box systems for EEG seizure prediction

et al. 2022

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Seizure prediction may be the solution for epileptic patients whose drugs and surgery do not control seizures. Despite 46 years of research, few devices/systems underwent clinical trials and/or are commercialized, where the most recent state‐of‐the‐art approaches, as neural networks models, are not used to their full potential. The latter demonstrates the existence of social barriers to new methodologies due to data bias, patient safety, and legislation compliance. In the form of literature review, we performed a qualitative study to analyze the seizure prediction ecosystem to find these social barriers. With the Grounded Theory, we draw hypotheses from data, while with the Actor‐Network Theory we considered that technology shapes social configurations and interests, being fundamental in healthcare. We obtained a social network that describes the ecosystem and propose research guidelines aiming at clinical acceptance. Our most relevant conclusion is the need for model explainability, but not necessarily intrinsically interpretable models, for the case of seizure prediction. Accordingly, we argue that it is possible to develop robust prediction models, including black‐box systems to some extent, while avoiding data bias, ensuring patient safety, and still complying with legislation, if they can deliver human‐ comprehensible explanations. Due to skepticism and patient safety reasons, many authors advocate the use of transparent models which may limit their performance and potential. Our study highlights a possible path, by using model explainability, on how to overcome these barriers while allowing the use of more computationally robust models.

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Section: Methodsmentioning

confidence: 99%

Section: Network Creationmentioning

confidence: 99%

On the clinical acceptance of black‐box systems for EEG seizure prediction

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Although GT develops theories from rigorous data gathering, the research process requires a certain sensitivity [18,53]. We stress that the researcher experience heavily influences the data codification and the emergence of themes and ideas.…”

Section: Network Creationmentioning

confidence: 99%

On the clinical acceptance of black-box systems for EEG seizure prediction

Pinto¹,

Leal²,

Lopes³

et al. 2021

Preprint

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Despite 46 years of seizure prediction research, few devices/systems underwent clinical trials and/or are commercialised, where the most recent state-of-the-art approaches are not used to their full potential. This demonstrates the existence of social barriers to new methodologies. Based on the literature, we performed a qualitative study to analyse the seizure prediction ecosystem to find these barriers. With Grounded Theory and Actor-Network Theory, we draw hypothesis from data and considered that technology shapes social configurations and interests. For seizure prediction, as long as an algorithm proves to be useful to the patient, we conclude that we may only need to explain the model’s decisions, and not to necessarily obtain intrinsically interpretable models. Accordingly, we argue that it is possible to develop robust prediction models, including black-box systems to some extent, while avoiding data bias, ensuring patient safety, and still complying with legislation, as long as they can deliver human-comprehensible explanations.

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“…To analyse these two different forms of adoption, Innovation Translation, informed by Actor-Network Theory (ANT) was used. ANT enables the researcher to think in terms of different translations (or adaptations) and to seek to identify the actors involved and the interactions that formed possible stable networks supporting those translations [26]. Innovation Translation has the advantage of being able to explain examples of partial adoption, and of situations where what is actually adopted differs from what was proposed [27].…”

Section: Research Study -Longitudinal Case Studymentioning

confidence: 99%

The Value of Project Management Education for IT Professionals

Lecomber

Tatnall

2017

IFIP Advances in Information and Communication Technology

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IT organisations and organisations with IT departments frequently procure project management training as part of their initiatives to improve business outcomes through professional education. This paper utilises the results of a research study that focused on the training of the project management methodology PRINCE2 in an organisation where IT was one of the departments. The longitudinal study over two and a half years reported on the adoption of the PRINCE2 project management methodology by sixteen employees following the successful completion of a PRINCE2 training course. Two different outcomes were observed: some individuals continued to develop their interest in PRINCE2 and looked for a stable network that will support their practice, even if they resigned from the organisation. The other outcome was that other individuals ceased using PRINCE2 for their projects if there was no imperative given by the organisation to use it and no example set by others in using it. The adoption outcomes from this study have implications as to the interventions that need to be implemented by organisations to derive the value from an investment in professional vocational education in project management for all relevant professionals.

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Grounded Theory and Actor-Network Theory

Cited by 3 publications

References 13 publications

On the clinical acceptance of black‐box systems for EEG seizure prediction

On the clinical acceptance of black‐box systems for EEG seizure prediction

On the clinical acceptance of black-box systems for EEG seizure prediction

The Value of Project Management Education for IT Professionals

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