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Article
Publication date: 14 January 2025

Irina Zlotnikova, Hlomani Hlomani, Tshepiso Mokgetse and Kelebonye Bagai

The increasing adoption of generative artificial intelligence (GenAI) tools in university education has raised significant ethical concerns regarding academic integrity and…

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Abstract

Purpose

The increasing adoption of generative artificial intelligence (GenAI) tools in university education has raised significant ethical concerns regarding academic integrity and fairness. This study aims to address these concerns by reviewing existing models and frameworks for ethical GenAI use and proposing a preliminary roadmap to establish ethical standards for GenAI use in higher education.

Design/methodology/approach

This study reviews current models and frameworks for ethical GenAI use, identifying their strengths and limitations. Based on this literature review and an approach combining interpretative phenomenological analysis and a hybrid phenomenological qualitative method, a six-phase roadmap is proposed, consisting of awareness and understanding, policy development, curriculum integration, technology and infrastructure, continuous evaluation and adaptation and collaboration and outreach.

Findings

This paper emphasizes the need for clear policies, interdisciplinary curriculum integration, robust technological infrastructure and ongoing stakeholder collaboration. Practical recommendations are provided for each phase of the roadmap, offering strategic guidance for universities to navigate the ethical complexities of GenAI implementation.

Originality/value

The proposed roadmap serves as a foundational step for developing policies and guidelines that ensure GenAI supports academic integrity and fosters innovative learning environments. Future research will focus on empirical validation and refinement of the roadmap to enhance its applicability and effectiveness in diverse educational contexts.

Details

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

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Article
Publication date: 27 August 2021

Yudith Cardinale, Maria Alejandra Cornejo-Lupa, Alexander Pinto-De la Gala and Regina Ticona-Herrera

This study aims to the OQuaRE quality model to the developed methodology.

145

Abstract

Purpose

This study aims to the OQuaRE quality model to the developed methodology.

Design/methodology/approach

Ontologies are formal, well-defined and flexible representations of knowledge related to a specific domain. They provide the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. Then, it is necessary to define how to compare such ontologies to decide which one is the most suitable for the specific needs of users/developers. As the emerging development of ontologies, several studies have proposed criteria to evaluate them.

Findings

In a previous study, the authors propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural and Domain Knowledge levels, considering correctness and quality perspectives. As the evaluation methods of the proposal are based on a golden-standard, it can be customized to compare ontologies in any domain.

Practical implications

To show the suitability of the proposal, the authors apply the methodological approach to conduct comparative studies of ontologies in two different domains, one in the robotic area, in particular for the simultaneous localization and mapping (SLAM) problem; and the other one, in the cultural heritage domain. With these cases of study, the authors demonstrate that with this methodological comparative process, we are able to identify the strengths and weaknesses of ontologies, as well as the gaps still needed to fill in the target domains.

Originality/value

Using these metrics and the quality model from OQuaRE, the authors are incorporating a standard of software engineering at the quality validation into the Semantic Web.

Details

International Journal of Web Information Systems, vol. 17 no. 4
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 4 February 2025

Derya Yılmaz, Ali Murat Tanyer and Irem Dikmen

Despite extensive research on the underlying reasons for the energy performance gap in buildings, there is a critical need for stakeholders to standardize and facilitate the use…

8

Abstract

Purpose

Despite extensive research on the underlying reasons for the energy performance gap in buildings, there is a critical need for stakeholders to standardize and facilitate the use of this knowledge and support its broader application by machines. Our research addresses this gap by developing both an ontology and a tool to utilize risk information regarding the performance gap in buildings.

Design/methodology/approach

Research into this topic began with the creation of an energy performance gap-risk ontology for new and existing buildings using the METHONTOLOGY method. This comprised a comprehensive literature review and semi-structured interviews with ten experts concerning six buildings, in order to develop taxonomies and define risk factor interactions. It was followed by a three-stage validation using a mixed-method research methodology. Steps included comparing the ontology with a similar empirical study, gathering expert opinions via interviews and ratings assessments, and finally, interviewing an experienced professional to ascertain whether there were any concepts not covered by the ontology. The taxonomies were modeled in Protégé 5.5, and using the ontology, a spreadsheet tool was developed using Microsoft Visual Basic for Applications in Excel.

Findings

The ontology identified 36 primary risk factors and a total of 95 when including additional risks linked to certain factors. Factors such as professional liability insurance, stakeholder motivation, effective communication, experience, training, integrated design, simplicity of detailing, building systems or design and project commissioning can help manage the performance gap in buildings. The tool developed serves as a decision-support system, offering features like project risk checklists to assist stakeholders in addressing the performance gap.

Originality/value

This study is the first to develop an energy performance gap-risk ontology and a tool to help project stakeholders collect, store and share building risk information.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 1 November 2024

Leeford Edem Kojo Ameyibor and Yvonne Kabeya Saini

This study aims to cluster psychographic activities, interests and opinions of alcohol quitters in behaviour change maintenance mode to form segmentation bases for social policy…

24

Abstract

Purpose

This study aims to cluster psychographic activities, interests and opinions of alcohol quitters in behaviour change maintenance mode to form segmentation bases for social policy and alcohol policy formulation that sustain the behaviour change.

Design/methodology/approach

A two-step cluster analysis was used to segment a cross-sectional sample of n = 501 former alcohol consumers based on their activity interest and opinion (AIO) framework through a multiple-response survey design.

Findings

Five clusters were found across five AIO themes of “people socialised with”, “relationship interest”, “ingredients of a good relationship”, “party activities” and “outing dressing”. The clusters were honesty-based relationship seekers, spiritual- and intellectual-based relationship seekers, attention seekers in a healthy relationship, self-conscious seeking a healthy relationship, and sincere, spiritual and intellectual-based relationship seekers.

Practical implications

The findings present an opportunity for social policy design that encourages alcohol-free social space creation, strong family ties, community and spiritual growth and incentives for long-term relationships as means of sustaining alcohol quitters’ behaviour. Equally, alcohol policies that match the themes of the clusters can be designed to aid sobriety sustenance.

Originality/value

This study advances knowledge of behaviour change maintenance and provides lifestyle segments of alcohol quitters as bases for further social and alcohol policy design to sustain gains in behaviour change.

Details

Drugs, Habits and Social Policy, vol. 25 no. 3/4
Type: Research Article
ISSN: 2752-6739

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Article
Publication date: 10 August 2022

Li Si, Yi He and Li Liu

Knowledge organization (KO) has been advancing at a progressively rapid pace under the influence of information technology. This study aims to explore the topics, characteristics…

671

Abstract

Purpose

Knowledge organization (KO) has been advancing at a progressively rapid pace under the influence of information technology. This study aims to explore the topics, characteristics, and trends of KO research in the 21st century.

Design/methodology/approach

The full text of 4,360 KO-related articles published from 2000 to 2021 is collected. Through content analysis, this study identifies the topics, research methods, and application areas of each article, and the statistics are presented through a series of visualizations.

Findings

In total, 13 main topics, 105 sub-topics, 16 research methods, and 57 application areas are identified. Notably, classification has always been an important topic, while linked data, automated techniques, and ontology have become popular topics recently. Significant changing features have also occurred. The versatile use of research methods has increased, with empirical research becoming the mainstream. Application areas show a trend of refinement from subject areas to specific scenarios. Construction techniques present a combination of automated techniques, crowdsourcing, and experts.

Originality/value

KO has evolved and diversified due to technological developments. This study is the first to focus on the continuous changing features over an extended, 21-year period, as opposed to sampling a few years. It also provides clues and insights for researchers and practitioners interested in KO to understand how it has changed in the Semantic Web and big data context.

Details

Journal of Documentation, vol. 79 no. 2
Type: Research Article
ISSN: 0022-0418

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Article
Publication date: 30 August 2021

Benjamin K. Ngugi, Kuo-Ting Hung and Yuanxiang John Li

Tax Identity Theft involves the illegal use of a potential taxpayer’s identity, usually the social security number, to fraudulently file a tax return and claim a refund. The…

377

Abstract

Purpose

Tax Identity Theft involves the illegal use of a potential taxpayer’s identity, usually the social security number, to fraudulently file a tax return and claim a refund. The victim is the real owner of the social security number who will have difficulties getting a tax refund, as the offender has already taken a refund for the year in question. This paper aims to investigate whether the increased use and adoption of electronic tax filing (i.e. E-Filing) technologies has inadvertently resulted in a corresponding growth in Tax Identity Theft.

Design/methodology/approach

Multiple regressions are used to analyze the data that is extracted from the Identity Theft complaint reports (maintained by the Federal Trade Commission) and the tax filing statistics (retrieved from the Internal Revenue Service).

Findings

The results indicate that E-Filing can indirectly but significantly increase Tax Identity Theft through the full mediation effects of individual Self-E-Filing and Direct Deposit adoption, after controlling for general Identity Theft, the number of Individual Tax Returns and Total Refunds.

Originality/value

The authors explore the association between the adoption of tax e-filing technologies and Tax Identity Theft. The findings suggest that the key loopholes in the Tax Identity Theft process are at the Self-E-Filing and the Direct Deposit points. Several practical recommendations for patching these loopholes are provided and discussed.

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