A Study of Information Technology Governance Initiatives On Organizational Performance

Abdollahbeigi, Bentolhoda; Salehi, Farhang

doi:10.37394/23205.2021.20.5

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…With all previously stated in mind, to achieve Industry 4.0 benefits, a substantial shift in the digitalization of business is needed. Developing an agile mindset of management structures and employees is required to fully integrate information and communication technologies in the businessproduction system (Abdollahbeigi & Salehi, 2020). Necessary structural changes often mean defining a new business strategy.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Knowledge mapping of research on Industry 4.0: A visual analysis using CiteSpace

Stojanović¹

2022

Serb J Management

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This study aims to explore thematic networks in research of Industry 4.0 in recent years. The analysis presented in the paper is based on the data retrieved from the Web of Science about publications that included the terms "fourth industrial revolution" and "Industry 4.0" within the domain of business application. The research consisted of a general analysis of publications and a more detailed analysis conducted using CiteSpace. CiteSpace, one of the very popular visual analysis tools for mapping the scientific networks, was used to analyze extracted articles and identify existing networks, clusters, and most influential authors. The findings indicate that Industry 4.0 represents a well-developed research field with distinctive but complementary research topics and also points out the emerging research topics. The study results can be helpful in further research on Industry 4.0 and relating technologies because it indicates the direction of recent research development.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Knowledge mapping of research on Industry 4.0: A visual analysis using CiteSpace

Stojanović¹

2022

Serb J Management

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The impact of IT governance and data governance on financial and non-financial performance

Naguib,

Kassem,

Naem

2024

Futur Bus J

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This paper aims to examine the impact of both information technology governance (ITG) and data governance on information technology (IT) performance in the telecommunication industry. A questionnaire of 308 managers was collected from all telecommunication companies that are working in Egypt. Data were analyzed using smart partial least squares (PLS). The results showed that all the hypotheses of the study had been accepted. IT and data governance have a significant impact on both financial and non-financial performance. However, each of them has a different effect on the IT performance dimensions. The financial performance of IT department had been affected by IT governance more than data governance. Also, innovation and flexibility were the most affected by IT governance. On the other hand, data governance affected business processes and ethical compliance more than IT governance. The current study filled the gap on the literature in two ways. First, studying both IT governance and data governance as a critical factors affects financial and non-financial performance. Second, studying IT governance and data governance has become more important, especially in the telecommunication industry as it is a big challenge now to secure the data of the companies.

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Examination of AI Algorithms for Image and MRI-based Autism Detection

Mukherjee,

Gokul,

Godse

2023

Wseas Transactions on Computers

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Precise identification of autism spectrum disorder (ASD) is a challenging task due to the heterogeneity of ASD. Early diagnosis and interventions have positive effects on treatment and later skills development. Hence, it is necessary to provide families and communities with the resources, training, and tools required to diagnose and help patients. Recent work has shown that artificial intelligence-based methods are suitable for the identification of ASD. AI-based tools can be good resources for parents for early detection of ASD in their kids. Even AI-based advanced tools are helpful for health workers and physicians to detect ASD. Facial images and MRI are the best sources to understand ASD symptoms, hence are input required in AI-based model training. The trained models are used for the classification of ASD patients and normal kids. The deep learning models are found to be very accurate in ASD detection. In this paper, we present a comprehensive study of AI techniques like machine learning, image processing, and deep learning, and their accuracy when these techniques are used on facial and MRI images of ASD and normally developed kids.

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A Study of Information Technology Governance Initiatives On Organizational Performance

Cited by 3 publications

References 11 publications

Knowledge mapping of research on Industry 4.0: A visual analysis using CiteSpace

Knowledge mapping of research on Industry 4.0: A visual analysis using CiteSpace

The impact of IT governance and data governance on financial and non-financial performance

Examination of AI Algorithms for Image and MRI-based Autism Detection

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