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1 – 5 of 5Thalia Anthony, Juanita Sherwood, Harry Blagg and Kieran Tranter
Thalia Anthony, Juanita Sherwood, Harry Blagg and Kieran Tranter
The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and…
Abstract
Purpose
The purpose of this study is to examine the state of research into adoption of machine learning systems within the health sector, to identify themes that have been studied and observe the important gaps in the literature that can inform a research agenda going forward.
Design/methodology/approach
A systematic literature strategy was utilized to identify and analyze scientific papers between 2012 and 2022. A total of 28 articles were identified and reviewed.
Findings
The outcomes reveal that while advances in machine learning have the potential to improve service access and delivery, there have been sporadic growth of literature in this area which is perhaps surprising given the immense potential of machine learning within the health sector. The findings further reveal that themes such as recordkeeping, drugs development and streamlining of treatment have primarily been focused on by the majority of authors in this area.
Research limitations/implications
The search was limited to journal articles published in English, resulting in the exclusion of studies disseminated through alternative channels, such as conferences, and those published in languages other than English. Considering that scholars in developing nations may encounter less difficulty in disseminating their work through alternative channels and that numerous emerging nations employ languages other than English, it is plausible that certain research has been overlooked in the present investigation.
Originality/value
This review provides insights into future research avenues for theory, content and context on adoption of machine learning within the health sector.
Details
Keywords
This paper aims to identify the values antecedents of women’s social entrepreneurship. It explores where and how these values emerge and how they underpin the perceived…
Abstract
Purpose
This paper aims to identify the values antecedents of women’s social entrepreneurship. It explores where and how these values emerge and how they underpin the perceived desirability and feasibility of social venture creation.
Design/methodology/approach
Values development across the life-course is interrogated through retrospective sense-making by thirty UK-based women social entrepreneurs.
Findings
The findings express values related to empathy, social justice and action-taking, developed, consolidated and challenged in a variety of experiential domains over time. The cumulative effects of these processes result in the perceived desirability and feasibility of social entrepreneurial venture creation as a means of effecting social change and achieving coherence between personal values and paid work, prompting social entrepreneurial action-taking.
Originality/value
This paper offers novel, contextualised insights into the role that personal values play as antecedents to social entrepreneurship. It contributes to the sparse literature focussed on both women’s experiences of social entrepreneurship generally, and on their personal values specifically.
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