Turki Al Masaeid
Biographic Data
| ID | 6953669 |
|---|---|
| NAME | Turki Al Masaeid |
| GIVEN NAMES | Turki |
| FAMILY NAME | Al Masaeid |
| SIGNATURE | AL MASAEID T |
| AFFILIATIONS | Abu Dhabi University |
| ORCID | 0000-0002-7901-5656 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
The Transformative Impact of Artificial Intelligence (AI) on Organisational Behaviour (OB)
Artificial Intelligence (AI) is transforming organizational behavior by reshaping employee engagement, performance, and decision-making processes. This study examines AI’s impact on workplace dynamics, focusing on its role in optimizing workload distribution, enhancing productivity, and supporting leadership adaptation. AI-driven tools, such as sentiment analysis and predictive modeling, facilitate engagement and efficiency but also introduce cha…
Detecting Workplace Hubris
Despite the extensive research on narcissism and its origin, the world of health practice, risk factors, as well as the case in a developing country like Morocco, is a new untapped area. This work explores uncharted territory as it attempts to replace the existing social behavior prediction tools with different machine learning models that promise the best approach to narcissist behavior prediction by identifying psychological features characteri…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
Predicting Quiet Quitting
Quite quitting, an increasingly widespread issue in healthcare, poses substantial problems to patient care and labor stability. This study presents a comprehensive review of quiet quitting in healthcare, addressing their ramifications and providing a machine learning model to predict and address this challenge. The technique adopted in this research involves decision trees, random forest, KNN, logistic regression, SVM (Support Vector Machine), En…
No prominent works on this page.
Predicting Quiet Quitting
Quite quitting, an increasingly widespread issue in healthcare, poses substantial problems to patient care and labor stability. This study presents a comprehensive review of quiet quitting in healthcare, addressing their ramifications and providing a machine learning model to predict and address this challenge. The technique adopted in this research involves decision trees, random forest, KNN, logistic regression, SVM (Support Vector Machine), En…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
The Transformative Impact of Artificial Intelligence (AI) on Organisational Behaviour (OB)
Artificial Intelligence (AI) is transforming organizational behavior by reshaping employee engagement, performance, and decision-making processes. This study examines AI’s impact on workplace dynamics, focusing on its role in optimizing workload distribution, enhancing productivity, and supporting leadership adaptation. AI-driven tools, such as sentiment analysis and predictive modeling, facilitate engagement and efficiency but also introduce cha…
Detecting Workplace Hubris
Despite the extensive research on narcissism and its origin, the world of health practice, risk factors, as well as the case in a developing country like Morocco, is a new untapped area. This work explores uncharted territory as it attempts to replace the existing social behavior prediction tools with different machine learning models that promise the best approach to narcissist behavior prediction by identifying psychological features characteri…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
Computer Science (5 works) · Knowledge management (4 works) · Business (3 works) · Industrial organization (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Big Data and Business Intelligence (2 works) · Economic and Technological Innovation (2 works) · Geography (2 works) · Health care (2 works)