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Article
Publication date: 23 January 2025

Sampada Deshmukh and Mita Mehta

This viewpoint discusses the influence of Artificial Intelligence (AI) - enabled self-regulated learning (SRL) on fostering proactive workplace learning and organizational agility.

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Abstract

Purpose

This viewpoint discusses the influence of Artificial Intelligence (AI) - enabled self-regulated learning (SRL) on fostering proactive workplace learning and organizational agility.

Design/methodology/approach

This viewpoint unpacks how AI-enabled SRL can drive proactive employee learning outcomes, drawing insights through reviewing articles on AI and SRL.

Findings

This paper offers a unique insight into the organizations’ tools to streamline learning by providing real-time support, personalized learning paths, and skill gap analysis, enabling employees to take control of their professional development by aligning individual growth with organizational goals.

Research limitations/implications

This article gives managerial and organizational implications.

Practical implications

This is a viewpoint article and can be further elaborated with impartial learning.

Originality/value

This viewpoint article offers a distinctive and comprehensive approach to emerging research in AI-enabled learning at both individual and organizational levels, integrating with Zimmerman’s Model based on Social Cognitive Theory.

Details

Development and Learning in Organizations: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7282

Keywords

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Article
Publication date: 19 August 2024

Sampada C. Deshmukh and Mita Mehta

This paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social…

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Abstract

Purpose

This paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived benefits (PB) and management support (MS) influencing their commitment to online learning engagement.

Design/methodology/approach

The Unified Theory of Acceptance and Use of Technology (UTAUT) model was expanded to include PB and MS constructs. This study used a quantitative research approach using purposive sampling techniques. Three hundred and eighty-six responses from Indian information technology (IT) professionals at various levels were analysed using Statistical Package for the Social Sciences-Analysis of Moments Structures tool.

Findings

This study found a strong positive influence of PE, EE, PB and MS on OLCI in the context of post-pandemic. Workplace learning rapidly generates outcomes if employees associate it with their career growth. However, the authors found that SI does not significantly affect OLCI.

Originality/value

This research is unique work in the area of workplace learning by evaluating the OLCI of IT professionals using the extended UTAUT model in a new normal. Moreover, this study contributes to online learning literature with a combined study of technology usage, continuance intention and organization learning and development.

Details

Journal of Workplace Learning, vol. 36 no. 8
Type: Research Article
ISSN: 1366-5626

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Article
Publication date: 11 October 2022

Neeraj Bhanot, Jaya Ahuja, Humaid Imran Kidwai, Ankit Nayan and Rajbir S. Bhatti

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine…

361

Abstract

Purpose

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

Design/methodology/approach

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

Findings

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

Practical implications

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

Originality/value

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.

Details

Benchmarking: An International Journal, vol. 30 no. 6
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 2 December 2019

Bhupendra Singh and Neelu Jyoti Ahuja

This paper aims to popularize information retrieval from palm leaf manuscripts among computer scientists to make available the guidance of the age-old heritage in shaping the…

687

Abstract

Purpose

This paper aims to popularize information retrieval from palm leaf manuscripts among computer scientists to make available the guidance of the age-old heritage in shaping the future.

Design/methodology/approach

With computer technology penetrating every aspect of life, information retrieval algorithms can be exploited to help build a system which can dig into the ocean of knowledge from these manuscripts.

Findings

The knowledge in them covers all aspects of life. Be it religious beliefs, literature, science, mathematics, or any other. However, due to discontinuation of practice of copying their content on fresh leaves, they now possess a fragile life which needs to be preserved at the earliest. The modern means of digitization can help in their preservation.

Research limitations

The Government of India and other organizations are doing commendable job of preserving and safeguarding country’s heritage and age-old knowledge system through the movement of digitization. In the years to come, the agonizing problem of manuscripts degradation will be eradicated completely. However, next when it will come to mining the knowledge treasure out of these manuscripts, we would be confronted with another helpless situation.

Practical implications

The digitization process would capture the manuscripts from present physical palm leaf to digital image form by clicking high-quality pictures. All the text in a palm leaf will be available in the form of images, but on these images, a simple search for any word would not be possible.

Originality/value

Working towards mining the treasure of knowledge from the palm leaf manuscripts, hordes of challenges have been outlined. Over and above the problem of preventing decay to palm leaf manuscripts is the challenge of deciphering text, image analysis, information retrieval and search. Search is further associated with issues of meaningful and useful extraction through semantic analysis. This paper advocates the dire need for systematic research to be undertaken in this field opening up avenues for past knowledge to guide future prospects in several domains.

Details

Digital Library Perspectives, vol. 35 no. 3/4
Type: Research Article
ISSN: 2059-5816

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