Sura Al-ayed

Dr. Sura Al-ayed

Business studies, Arab Open University, Riyadh, Ar Riyāḑ, Saudi Arabia
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Ahmad Adnan Al-TitAhmad Adnan Al-Tit
Ahmad Adnan Al-Tit
Sura Al-ayedSura Al-ayed
Sura Al-ayed
Abdulaziz AlhammadiAbdulaziz Alhammadi
Abdulaziz Alhammadi
MHMohammad Hunitie
Mohammad Hunitie
AAAktham Alsarayreh
Aktham Alsarayreh
WAWijdan Albassam
Wijdan Albassam
There is a shortage of research investigating the link between employee development practices and intellectual capital as mediated by knowledge management. The aim of the current research was to consider the influence of employee development practices on intellectual capital through knowledge management. Data were collected through an instrument distributed to a sample of 464 employees working at information and communications technology companies. The results indicate that employee development practices had significant effects on human capital, knowledge management, and social capital. The results reveal that knowledge management had a significant effect on human capital but not on social capital. Finally, the results show that knowledge management significantly mediated the impact of employee development practices on human capital. Additionally, implications for intellectual capital development, organizational strategy, and academic research are discussed.

26 March 2019 in Business: Theory and Practice
Verified
Journal Article
Open access
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Sura Al-ayedSura Al-ayed
Sura Al-ayed
The aim of this study was to explore the impact of strategic human resource management practices (strategic value of human resource practices, human resource analytics and high-performance work practices) on organizational resilience (cognitive, behavioral and contextual dimensions) in private hospitals. The required data for the purpose of this study were collected by a questionnaire developed on the basis of related works. The questionnaire was developed based on exploratory and confirmatory factor analyses. It consisted of 30 items divided into two domains, the first one to measure strategic resource management practices (15 items), and the second one to measure organizational resilience (15 items). The study population was consisted of employees working at private hospitals. The questionnaires were distributed to a random sample of 500 administrative staff working in private hospitals. A total of 449 valid responses were retrieved with a response rate of 89.9%, which is high percent because the researcher visited the hospitals and distributed the questionnaires personally. Using IBM SPSS 24.0 and AMOS 22, the results confirmed that strategic human resource management practices have a positive impact on organizational resilience. In terms of the separate effects of strategic HRM practices, the results showed that strategic value of human resource practices was the most influential variable on organizational resilience, followed by human resource analytics, then high performance work practices The study concluded that the hospital’s ability to be resilient requires an advance planning when formulating the human resources strategy that is supposed to be integrated into the hospital’s strategy.

21 January 2025
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Book Chapter
Closed access
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MAMohammad Izzat Alhalalmeh
Mohammad Izzat Alhalalmeh
ASAktham Al Sarayreh
Aktham Al Sarayreh
Sura Al-ayedSura Al-ayed
Sura Al-ayed
Ahmad Adnan Al-TitAhmad Adnan Al-Tit
Ahmad Adnan Al-Tit
MAMenahi Mosallam Alqahtani
Menahi Mosallam Alqahtani
AMAnber Abraheem Shlash Mohammad
Anber Abraheem Shlash Mohammad

21 January 2025
Verified
Book Chapter
Closed access
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Muhammad Turki AlshuridehMuhammad Turki Alshurideh
Muhammad Turki Alshurideh
AAAtallah Fahed Alserhan
Atallah Fahed Alserhan
AMAnber Abraheem Shlash Mohammad
Anber Abraheem Shlash Mohammad
TATawfeeq Mohammed Alanazi
Tawfeeq Mohammed Alanazi
OAOsama Abdelwahab M. Alzeetawi
Osama Abdelwahab M. Alzeetawi
AAAbdullah Matar Al-Adamat
Abdullah Matar Al-Adamat

8 December 2024
Verified
Book Chapter
Closed access
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SAsulieman Al-Hawary
sulieman Al-Hawary
AVAsokan Vasudevan
Asokan Vasudevan
FBFiras Nawwaf Ibraheem Barhoom
Firas Nawwaf Ibraheem Barhoom
RARania Mohammad Ibrahim Almajali
Rania Mohammad Ibrahim Almajali
Sura Al-ayedSura Al-ayed
Sura Al-ayed
AMAnber Abraheem Shlash Mohammad
Anber Abraheem Shlash Mohammad

2 October 2024 in Knowledge and Performance Management
Verified
Journal Article
Open access
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SASultan Saleh Alateeg
Sultan Saleh Alateeg
Sura Al-ayedSura Al-ayed
Sura Al-ayed
The study aims to investigate how artificial intelligence (AI) influences women-led startups in Saudi Arabia, aiming to understand their unique experiences, challenges, and opportunities within the AI technology landscape. This study used a qualitative method, conducting 16 in-depth interviews with women entrepreneurs operating businesses in Saudi Arabia. The analysis was performed using thematic analysis with NVivo 12, uncovering key themes and insights. The findings reveal that cultural norms, societal expectations, limited awareness, and financial constraints are directly associated with women’s involvement in AI-driven businesses. Cultural biases emerged as impediments, underscoring the need for targeted interventions such as awareness campaigns and educational initiatives to dismantle ingrained biases and foster an environment that recognizes and celebrates the contributions of women in the tech and AI sectors. Educational programs, collaborations between academia and industry, and mentorship initiatives were identified as pivotal components to prepare women entrepreneurs to navigate the intricate landscape of AI adoption. Financial inclusion emerged as a critical pillar, advocating for equitable access to funding and resources tailored specifically for women-led AI startups. The study further emphasizes the importance of fostering supportive ecosystems that extend beyond financial aid. Creating networks for mentorship, guidance, and collaboration provides women entrepreneurs with platforms to share experiences and resources, enhancing resilience and the potential for success in the AI landscape. Acknowledgment The authors extend their appreciation to the Arab Open University for funding this work through research fund No. AOUKSA-524008.