AI and Its Implications for Organisations

Sharma, M. L.; Biros, David P.

doi:10.1108/978-1-83909-812-320211001

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…AI can be classified into two main categories: narrow or weak AI, which is designed to perform certain tasks, and general or strong AI, which has cognitive capacities like humans [20,21]. Presently, narrow artificial intelligence (AI) is widely used in several applications, including virtual personal assistants, picture and speech recognition, and recommendation systems [22].…”

Section: Overview Of Artificial Intelligence (Ai)mentioning

confidence: 99%

A Comparative Analysis of Librarians’ Views on AI Support for Learning Experiences, Lifelong Learning, and Digital Literacy in Malaysia and Indonesia

Mutia,

Masrek,

Baharuddin

et al. 2024

Preprint

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This research delves into librarians' perceptions of artificial intelligence (AI) support in learning experiences, lifelong learning, and digital literacy within the library context, undertaking a comparative analysis between Malaysia and Indonesia. Employing a survey methodology, a self-developed questionnaire was administered to 59 librarians in Malaysia and 85 in Indonesia. The questionnaire, utilizing a Likert scale, systematically explored subjective judgments on AI's impact across various dimensions. A noteworthy finding is the consistent and harmonized perception among librarians in both countries, underscoring a universal recognition of AI's perceived support for learning experiences, lifelong learning, and digital literacy. Of particular interest is the emphasis on sustainability in librarians' perspectives, as they recognize the enduring value of AI in fostering educational growth. Despite the limitations inherent in perceptual measures and a relatively modest sample size, the empirical and practical contributions of this study are significant. It offers a nuanced exploration of librarians' viewpoints, providing valuable insights for future research endeavors. Moreover, the study's findings have immediate practical implications for the integration of AI tools in library services, policy-making, and professional development, with a focus on ensuring sustainable implementation for long-term benefits.

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Section: Overview Of Artificial Intelligence (Ai)mentioning

confidence: 99%

A Comparative Analysis of Librarians’ Views on AI Support for Learning Experiences, Lifelong Learning, and Digital Literacy in Malaysia and Indonesia

Mutia,

Masrek,

Baharuddin

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The application of Big Data can also support the identification of learning trends, helping organizations understand which topics or skills are most relevant in an ever-changing work environment (Wilson, 2018). As a result, employee development can become more adaptive and responsive to industry developments and organizational needs (M. Sharma & Biros, 2021).…”

Section: Employee Developmentmentioning

confidence: 99%

Big Data Analysis in Human Resources Decision Making: Optimizing Workforce Management

Heliana,

Wahyuni

2024

jrmsi

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This research aims to conduct an in-depth analysis of the application of Big Data in human resource decision-making, focusing on optimizing workforce management. By measuring four main variables, namely recruitment efficiency, accuracy of employee selection, employee development, and organizational performance based on HR decision-making—Big Data analysis is expected to provide a deeper understanding of workforce dynamics. The research results show that applying Big Data can build recruitment efficiency, increase the accuracy of employee selection, support more appropriate employee development, and ultimately improve overall organizational performance. Big Data makes organizational performance based on HR decision-making by providing a solid foundation for more effective human resource management strategies. This research uses qualitative methods with the help of the NVivo 12 Plus tool to identify research results. Implementing Big Data in various aspects of human resource management is recognized as a catalyst for positive change in workforce management.

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“…Such statistics provide evidence regarding the need for understanding the resistances behind AI adoption. Research has been done to explore the applications of AI for organizations and its various departments (Dhamija and Bag, 2020;Sharma and Biros, 2021). Studies explaining rationale behind technology adoption decisions are many (Ahmad Salleh and Janczewski, 2018;Cruz-Jesus et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

AI adoption by human resource management: a study of its antecedents and impact on HR system effectiveness

Agarwal

2022

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Purpose The purpose of this study is to explore and examine the determinants of artificial intelligence (AI) adoption by human resource management (HRM). Further, the impact of AI adoption by HR department on their effectiveness has also been tested. Design/methodology/approach A model explaining the antecedents of AI adoption by HRM is proposed in this study. The proposed model is based on task–organization–environment and task–technology fit models. A two-step partial least square-based structural equational modelling (PLS-SEM) has been used for testing the model. Data was collected from 210 HRM employees (only senior level or specialized HR positions), working in IT firms located in Delhi-NCR region. Findings Literature review shows that among others, organizational preparedness, perceived benefits and technology readiness determine AI adoption which in turn can make HR system more effective. Results of PLS-SEM support all hypothesized relationships and validate the proposed model. Originality/value Considering paucity of research on antecedents of AI adoption by human resource department, this study adds significantly to the body of knowledge. Additionally, based on the findings of statistical analysis, certain AI-related recommendations are given to HRM.

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AI and Its Implications for Organisations

Cited by 7 publications

References 32 publications

A Comparative Analysis of Librarians’ Views on AI Support for Learning Experiences, Lifelong Learning, and Digital Literacy in Malaysia and Indonesia

A Comparative Analysis of Librarians’ Views on AI Support for Learning Experiences, Lifelong Learning, and Digital Literacy in Malaysia and Indonesia

Big Data Analysis in Human Resources Decision Making: Optimizing Workforce Management

AI adoption by human resource management: a study of its antecedents and impact on HR system effectiveness

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