Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions

Ofosu-Ampong, Kingsley

doi:10.1016/j.teler.2024.100127

Cited by 7 publications

(1 citation statement)

References 62 publications

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“…The development of Artificial Intelligence (AI) technology has brought significant changes in the field of industry and labor. AI has been a catalyst for transformation in a very significant area of the industry (Abioye et al, 2021;Mahalakshmi et al, 2022;Ofosu-Ampong, 2024;Park, 2024;Thapa et al, 2023). Through the use of these appropriate technologies, companies can evaluate customer data, forecast market trends, and automate business operations with higher efficiency, faster innovation, and better ways of making decisions.…”

Section: Introductionmentioning

confidence: 99%

Development and Threats of Artificial Intelligence in Industry and Workforce

Alfiani

2024

IJSSR

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The abstract explores the transformative impact of Artificial Intelligence (AI) on global industries, highlighting its role in enhancing efficiency and innovation while also posing challenges such as job automation, skills gaps, data misuse, and ethical concerns. Drawing from the Global Risk Report 2024 and recent regulatory actions by the European Union and Indonesia, the abstract discusses the pressing need for AI governance. However, it lacks specificity in articulating the study's objectives and scope, and could benefit from providing concrete examples or statistics to support its claims. A clearer organizational structure and citation of relevant sources would enhance the coherence and credibility of the abstract. Furthermore, while emphasizing the importance of human control over AI, the abstract could offer a more nuanced conclusion that underscores the significance of the study's findings in achieving this goal.

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Section: Introductionmentioning

confidence: 99%

Development and Threats of Artificial Intelligence in Industry and Workforce

Alfiani

2024

IJSSR

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Digitizing Development: Enablers and Inhibitors of Mobile App-Based Population Census Adoption

Ofosu-Ampong

2024

Signals and Communication Technology

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Beyond the hype: exploring faculty perceptions and acceptability of AI in teaching practices

Ofosu-Ampong

2024

Discov Educ

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Limited studies exist on faculty members or lecturers’ perception and behavioural acceptance of artificial intelligence (AI) (e.g. ChatGPT) for their students' benefit. Teachers are the decision-makers for students' teaching and classroom activities. In this regard, the study examined lecturers’ use of AI-powered tools and the factors that influence the acceptance of AI in teaching and learning in universities. An online survey was conducted using a cross-sectional design, and the results were analysed using SPSS and SmartPLS. The study findings revealed that more than two-thirds (84%) of lecturers are willing to accept AI for their students, while 16% stated non-acceptance of AI for students. Factors such as years of teaching experience, institutional support for AI use, and attitude towards AI proved to be significant predictors of AI acceptance in education. Key factors influencing lecturers' acceptance of AI for their students include perceived pedagogical affordances, organisational policies and incentives, perceived complexity and usability and socio-cultural context. By addressing teacher concerns through supportive policies, user-friendly interfaces, and alignment with pedagogical goals, higher education institutions can create a more fertile ground for AI adoption.

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Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions

Cited by 7 publications

References 62 publications

Development and Threats of Artificial Intelligence in Industry and Workforce

Development and Threats of Artificial Intelligence in Industry and Workforce

Digitizing Development: Enablers and Inhibitors of Mobile App-Based Population Census Adoption

Beyond the hype: exploring faculty perceptions and acceptability of AI in teaching practices

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