Financial Resource Allocation in Higher Education

Ušpurienė, Ana; Sakalauskas, Leonidas; Dumskis, Valerijonas

doi:10.15388/infedu.2017.14

Cited by 4 publications

(2 citation statements)

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“…According to ISM, independent factors (with high driving power but low dependence power) are the root cause of other factors in the study, with financial resources, as reported at the basic level in the ISM diagram, representing the most significant problem in AI adoption in Indian management institutes. As reported by Kazanjian (1988) and Ušpuriene et al (2017) that financial resources play an important role in any adoption of new technology, our study also indicates the same. Technological context, organisational context and human resource readiness were also at the root of adoption of AI in Indian management institutes that has also been reported by Han and Park (2017), Gong et al (2019); Cafer and Rikoon (2018); and Preece (2018).…”

Section: Resultssupporting

confidence: 87%

Modelling the factors in the adoption of artificial intelligence in Indian management institutes

Priya¹,

Jain²,

Priya

et al. 2022

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Purpose This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship. Design/methodology/approach To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India. Findings This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors. Practical implications This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes. Originality/value According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.

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Section: Resultssupporting

confidence: 87%

Modelling the factors in the adoption of artificial intelligence in Indian management institutes

Priya¹,

Jain²,

Priya

et al. 2022

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“…It is therefore imperative that organizations prudently manage their meagre resources to meet the demands of their respective organizations, especially in times of crises such as the recent Covid-19 pandemic. Ušpurienė, Sakalauskas, and Dumskis, (2017) intimated that financial management accountability processes in every department of education involves the functions of management: planning, organizing, leading, and controlling. Almost all educational departments need adequate resources to meet their daily obligations and achieve set goals.…”

Section: Financial Managementmentioning

confidence: 99%

Effective Leadership: The Panacea to Effective Teaching and Learning in Schools, Post Corvid -19

2020

JEP

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It is not an understatement to mention that the recent Covid-19 pandemic has thrown world economies into anarchy and turmoil. As a result, unprecedented changes had to be made by the way teaching and learning is conducted in academic institutions around the world. Almost all educational institutions worldwide have pivoted to online learning in a bid to curb the spread of the virus. This sad turn of events has put undue pressure on educators to learn 21st century technology skills to instruct successfully. This paper examines the need for innovative skilled leadership for effective transition to online teaching and improving teaching and learning.

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