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Article
Publication date: 3 November 2014

Naomi Wangari Mwai, Joseph Kiplang’at and David Gichoya

The aim of this paper is to establish how resource dependency theory (RDT) and transaction cost theory (TCT) can inform decisions to outsource ICT services by public university…

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Abstract

Purpose

The aim of this paper is to establish how resource dependency theory (RDT) and transaction cost theory (TCT) can inform decisions to outsource ICT services by public university libraries in Kenya.

Design/methodology/approach

The study adopted a multiple case study strategy in four selected public universities libraries in Kenya. Purposive sampling was used to identify respondents and data collection was done using a semi-structured interview schedule.

Findings

The study highlights how RDT and TCT theoretical perspectives illuminate some of the reasons, and problems associated with Information and Communications Technology outsourcing in Libraries. The paper concludes with recommendations and the way forward.

Research limitations/implications

The study was limited to the outsourcing of information technology services in four public university libraries in Kenya, namely, Kenyatta University (KU) in Kahawa, Nairobi; Moi University (MU) in Eldoret; University of Nairobi (UON) in Nairobi; and Jomo Kenyatta University of Agriculture and Technology (JKUAT) in Juja, Thika. This being a qualitative study (and taking into consideration the subjective views where bias could occur), the researchers ensured that the research was reliable by recording and taking notes during the interviews and by using peer-debriefing and professionals in the field to ascertain their views.

Practical implications

The paper provides practical insights into outsourcing of Information Technology (IT) services in Public University libraries and information centres in Kenya. This study is useful for university libraries, information professionals, information communication technology professionals and university management.

Social implications

The implications of the study are that outsourcing needs to be guided by clear policies that are documented and communicated to all the stakeholders.

Originality/value

This research assesses IT outsourcing services in selected public academic libraries in Kenya.

Details

The Electronic Library, vol. 32 no. 6
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 1 November 2024

Phil Morgan and Nicola Ann Cogan

Artificial intelligence (AI) is poised to reshape mental health practices, policies and research in the coming decade. Simultaneously, mental health inequalities persist globally…

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Abstract

Purpose

Artificial intelligence (AI) is poised to reshape mental health practices, policies and research in the coming decade. Simultaneously, mental health inequalities persist globally, imposing considerable costs on individuals, communities and economies. This study aims to investigate the impact of AI technologies on future citizenship for individuals with mental health challenges (MHCs).

Design/methodology/approach

This research used a community-based participatory approach, engaging peer researchers to explore the perspectives of adults with MHCs from a peer-led mental health organisation. This study evaluated potential threats and opportunities presented by AI technologies for future citizenship through a co-created film, depicting a news broadcast set in 2042. Data were gathered via semi-structured interviews and focus groups and were analysed using a reflexive thematic approach.

Findings

The analysis identified four key themes: Who holds the power? The divide, What it means to be human, and Having a voice. The findings indicate that adults with living experiences of MHCs are eager to influence the development of AI technologies that affect their lives. Participants emphasised the importance of activism and co-production while expressing concerns about further marginalisation.

Originality/value

This study provides new insights into the intersection of AI, technology and citizenship, highlighting the critical need for inclusive practices in technological advancement. By incorporating the perspectives of individuals with living experiences, this study advocates for participatory approaches in shaping AI technologies in mental health. This includes the co-creation of machine learning algorithms and fostering citizen engagement to ensure that advancements are equitable and empowering for people with MHCs.

Details

Journal of Public Mental Health, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5729

Keywords

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Article
Publication date: 13 December 2024

Mohamed L. Seghier

This paper aims to appraise current challenges in adopting generative AI by reviewers to evaluate the readability and quality of submissions. The paper discusses how to make the…

26

Abstract

Purpose

This paper aims to appraise current challenges in adopting generative AI by reviewers to evaluate the readability and quality of submissions. The paper discusses how to make the AI-powered peer-review process immune to unethical practices, such as the proliferation of AI-generated poor-quality or fake reviews that could harm the value of peer review.

Design/methodology/approach

This paper examines the potential roles of AI in peer review, the challenges it raises and their mitigation. It critically appraises current opinions and practices while acknowledging the lack of consensus about best practices in AI for peer review.

Findings

The adoption of generative AI by the peer review process seems inevitable, but this has to happen (1) gradually, (2) under human supervision, (3) by raising awareness among stakeholders about all its ramifications, (4) through improving transparency and accountability, (5) while ensuring confidentiality through the use of locally hosted AI systems, (6) by acknowledging its limitations such as its inherent bias and unawareness of up-to-date knowledge, (7) by putting in place robust safeguards to maximize its benefits and lessen its potential harm and (8) by implementing a robust quality assurance to assess its impact on overall research quality.

Originality/value

In the current race for more AI in scholarly communication, this paper advocates for a human-centered oversight of AI-powered peer review. Eroding the role of humans will create an undesirable situation where peer review will gradually metamorphose into an awkward conversation between an AI writing a paper and an AI evaluating that paper.

Details

Journal of Information, Communication and Ethics in Society, vol. 23 no. 1
Type: Research Article
ISSN: 1477-996X

Keywords

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Article
Publication date: 6 August 2020

Hassan M. Selim, Riyad Eid and Gomaa Agag

The adoption of smart classroom is increasing in higher education around the world. Yet, factors affecting smart classroom adoption have not been sufficiently explored. Based on…

668

Abstract

Purpose

The adoption of smart classroom is increasing in higher education around the world. Yet, factors affecting smart classroom adoption have not been sufficiently explored. Based on the innovation diffusion theory and external pressures, the present study developed a model to investigate the main drivers of smart classroom adoption.

Design/methodology/approach

SEM-AMOS was used to analyse the data collected from a sample of 1,208 educators.

Findings

The findings revealed that innovation diffusion theory and external pressures provide an appropriate model for understanding smart classroom adoption.

Practical implications

The findings offer important implications for higher education institutions, IT managers, and are likely to stimulate further research in the area of smart classrooms.

Originality/value

To the best of the authors' knowledge, this is the first study that used innovation diffusion theory external pressures to understanding smart classroom adoption.

Details

Education + Training, vol. 62 no. 6
Type: Research Article
ISSN: 0040-0912

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