The Relationship Between Digital Transformation and Quality of UAE Government Services Through Machine Learning

AlDhaheri, Rashed Abdulla; Sulaiman, Ibrahim Fahad; Matrooshi, Haleima Abdulla Al

doi:10.1007/978-3-031-03918-8_35

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Literature review 2.1 The UAE's digital transformation Digital transformation has been expanding largely for some time in the world, but the pandemic has accelerated the speed of this transformation (Soto-Acosta, 2020;Stalmachova et al, 2022). Recently, the UAE has maintained itself as a regional leader in digital transformation (AlDhaheri et al, 2022;Nadkarni and Haider, 2022) and aspires to become its hub globally in the next decade. The UAE government has played a significant role in digitizing its economy and services by introducing the model of smart government, giving the vision for the future, making heavy investments in digital infrastructure and supporting the private sector companies who have initiated their own journey towards the digital transformation, in line with government's efforts of becoming digitalized and sustainable for highest customer satisfaction (Hujran et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Leaders’ behavioral approach in the digital era: task vs relationship

Farhan

Chaudhry

Razmak

et al. 2023

JOEPP

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PurposeThe importance of modeling digital leadership in quickly digitizing countries, like the United Arab Emirates (UAE), is inevitable for building leadership capabilities to lead, engage and motivate remote employees in the digital environment. Using Blake and Mouton Grid, the current study examines the behavioral approach used by the leaders from both public and private sectors while managing their workforce digitally in the period of the pandemic, when 70% of the workforce worked remotely for the first-time in the region.Design/methodology/approachAn online survey was conducted by the managerial employees working in different firms using self-administered questionnaires and adopting the snowball sampling technique. In total, 476 respondents participated in the study from both the Emirates of Abu Dhabi and Dubai.FindingsThe analysis using IBM SPSS and Smart PLS software reported that 9 out of 10 leaders positioned their digital leadership style well above the middle-of-the-road management style (5,5) oriented towards team management (9,9); with 7 out of 9 displaying high team management leadership style, while managing remote workers. However, millennials displayed higher task orientation when compared to generation-x leaders, who concentrated more on their relations with the workers.Practical implicationsThe findings have implications for practitioners in technology driven regions. Also the results highlighting the task-oriented approach of millennials digital leaders have implication for owners and board of directors of the firms that seniority is not the only credible approach for leadership positions.Originality/valueThe study reveals the behavioral styles beneficial for digital leaders to develop their leadership capabilities and increase their effectiveness while managing the workforce digitally. Black Mountain Grid and its two-dimensional leadership matrix has been found to be a useful conceptual approach for understanding digital leadership behaviors, and based on study findings, recommendations have been provided to effectively improve its utilization for leading teams. The findings have implications for practitioners in technology driven regions as well as digital leadership field scholars.

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Section: Introductionmentioning

confidence: 99%

Leaders’ behavioral approach in the digital era: task vs relationship

Farhan

Chaudhry

Razmak

et al. 2023

JOEPP

View full text Add to dashboard Cite

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Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study.

Aljaaf,

Ibrahim,

Al-Ouqaili

et al. 2023

2023 16th International Conference on Developments in eSystems Engineering (DeSE)

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Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services

Durugkar

2023

Advances in Electronic Government, Digital Divide, and Regional Development

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New age technologies like machine learning, artificial intelligence, and deep learning are playing a crucial role in many applications. The chapter focuses on development, monitoring, and management approaches to machine learning implementation for effective government service deliveries. Government forms different policies and aims to successfully pass them to the citizens. The government service deliveries include many sectors like healthcare system, education policies, foreign policies, infrastructure and construction policies, public transportation policies, etc. Machine learning (ML), deep learning (DL), and artificial intelligence (AI) provide many methods like time series analysis, regression, classification, reinforcement learning, clustering, dimensionality reduction, long short-term memory, etc. These methods help retrieving meaningful data from the large volume and predict the desired results. These technologies already revolutionized many sectors like automating the application processes, fetching the relevant and required data instantly, etc.

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The Relationship Between Digital Transformation and Quality of UAE Government Services Through Machine Learning

Cited by 3 publications

References 33 publications

Leaders’ behavioral approach in the digital era: task vs relationship

Leaders’ behavioral approach in the digital era: task vs relationship

Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study.

Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services

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