Development of Knowledge Economy Framework in the Life Science Sector in the Kingdom of Saudi Arabia

Alharbi, Omar

doi:10.23889/suthesis.43855

Cited by 2 publications

(2 citation statements)

References 252 publications

(443 reference statements)

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“…This rapid expansion of cities, particularly in developing countries, brings with it significant challenges, including environmental degradation, loss of arable land and increased pressure on infrastructure and services (Liu et al, 2021;Zhang et al, 2022;Khan et al, 2021;Sarker et al, 2021). In Saudi Arabia, the rate of urbanisation is emblematic of this global trend, with cities such as Riyadh and Jeddah experiencing rapid growth (Alharbi, 2018). The Kingdom's urban population increased from 86% in 2010 to over 83% in 2020, reflecting a significant urban transformation (AlQadhi et al, 2021;Mallick et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Assessing urban growth through morphological spatial pattern analysis in cloud computing platform

Shohan,

Bindajam,

Al-Shayeb

et al. 2024

FEBE

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PurposeThis study aims to quantify and analyse the dynamics of land use and land cover (LULC) changes over three decades in the rapidly urbanizing city of Abha, Saudi Arabia, and to assess urban growth using Morphological Spatial Pattern Analysis (MSPA).Design/methodology/approachUsing the Support Vector Machine (SVM) classification in Google Earth Engine, changes in land use in Abha between 1990 and 2020 are accurately assessed. This method leverages cloud computing to enhance the efficiency and accuracy of big data analysis. Additionally, MSPA was employed in Google Colab to analyse urban growth patterns.FindingsThe study demonstrates significant expansion of urban areas in Abha, growing from 62.46 km² in 1990 to 271.45 km² in 2020, while aquatic habitats decreased from 1.36 km² to 0.52 km². MSPA revealed a notable increase in urban core areas from 41.66 km² in 2001 to 194.97 km² in 2021, showcasing the nuanced dynamics of urban sprawl and densification.Originality/valueThe novelty of this study lies in its integrated approach, combining LULC and MSPA analyses within a cloud computing framework to capture the dynamics of city and environment. The insights from this study are poised to influence policy and planning decisions, particularly in fostering sustainable urban environments that accommodate growth while preserving natural habitats. This approach is crucial for devising strategies that can adapt to and mitigate the environmental impacts of urban expansion.

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Section: Introductionmentioning

confidence: 99%

Assessing urban growth through morphological spatial pattern analysis in cloud computing platform

Shohan,

Bindajam,

Al-Shayeb

et al. 2024

FEBE

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“…Furthermore, most people agree that the transformational leadership style places strong reliance on the leader's traits, disposition, vision, bravery and pace-setting (Xenikou, 2017;Algarni, 2018;Daft, 2014). It is therefore claimed that a transformational leadership strategy can produce considerable individual and organisational transformation through aligning opportunities, objectives, perceptions and principles (Odumeru et al, 2013).…”

Section: Transformational Leadership Stylementioning

confidence: 99%

Complex adaptive leadership approach in the South African local government: a case of uMzimkhulu Local Municipality, South Africa.

Ngqoyiya

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Development of Knowledge Economy Framework in the Life Science Sector in the Kingdom of Saudi Arabia

Cited by 2 publications

References 252 publications

Assessing urban growth through morphological spatial pattern analysis in cloud computing platform

Assessing urban growth through morphological spatial pattern analysis in cloud computing platform

Complex adaptive leadership approach in the South African local government: a case of uMzimkhulu Local Municipality, South Africa.

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