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Showing 5 results for Ismail

Parviz Fattahi, Bahman Ismailnezhad,
Volume 27, Issue 2 (IJIEPR 2016)
Abstract

In this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. Since cell formation problem is NP-Hard, two algorithms based on genetic and modified particle swarm optimization (MPSO) algorithms are developed to solve the problem. For generating initial solutions in these algorithms, a new heuristic method is developed, which always creates feasible solutions. Moreover, full factorial and Taguchi methods are implemented to set crucial parameters in the solutions procedures. Deterministic method of branch and bound (B&B) algorithm is used to evaluate the results of modified particle swarm optimization algorithm and the genetic algorithm. The results indicate that proposed algorithms have better performance in quality of the metaheurstic algorithms final answer and solving time compared with the method of Lingo software’s B&B algorithm. The solution of two metaheurstic algorithms is compared by t test. Ultimately, the results of numerical examples indicate that considering reliability has significant effect on block structures of machine-part matrixes.


Adnan Ali Hassan Alhosani, Fadillah Ismail,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract

Dubai has witnessed the growth of numbers in population and global visitors, which makes it necessary for the city to have an excellent police department to secure all citizens, residents and visitors.  This is necessary for improving Dubai's security and financial condition and cementing the city's importance in the world.  The main objective of this study is to examine the relationship between the delegation of authority, organizational functionality and decision-making process among the employees in Dubai police department UAE.  A total of 380 employees were selected as the study sample using a multistage sampling method. Questionnaires were used in data collection and responses were analysed using partial least squares structural equation modelling (PLS-SEM)  for data analysis. The results showed that the delegation of authority affects decision-making among the target population. Moreover, delegation of authority helps the organisation in achieving the objectives with accordance to the imperative’s factors of organizational functionality of the organisation. The results of this research contributed substantially to the current body of knowledge in the domain of delegation of authority in Arab context.  The novelty of this study stem from the reality that the issues and problems of power delegation in Dubai police department was assessed in terms of decision-making process. From these results some recommendations are also suggested which are quite helpful especially, with regards to the latest global models of contemporary leadership and the latest approaches and methods of modern decision-making.
Adnan Ali Hassan Alhosani, Fazal Ur Rehman, Fadillah Ismail,
Volume 33, Issue 4 (IJIEPR 2022)
Abstract

This study intends to evaluate the mediating role of employees performance in the relationship between delegation of authority, organizational functionality, and the decision making process among the employees of police department at Dubai. The study has collected data in the various police stations at Dubai from 380 employees through questionnaires based survey using random sampling technique. The study noted that employees performance has mediating role between the delegation of authority, organizational functionality, and the decision making process among the police employees at Dubai. The results of this research contributed substantially to the current body of knowledge in the domain of delegation of authority in Arab context. The novelty of this study stem from the reality that the issues and problems of power delegation in Dubai police department was assessed in terms of decision-making process.
Rawdha Ghareeb, Rashied Darwish Almansooori, Fadillah Ismail,
Volume 34, Issue 1 (IJIEPR 2023)
Abstract

Abu Dhabi National Oil Company (ADNOC), being a significant role player the actualization of the Abu Dhabi Economic Vision of 2030, would need to improve and upgrade its performance level and its competitive advantage during this Covid-19 pandemic period. Therefore, this study examined the effects of technology management, innovation and training on organization performance in ADNOC United Arab Emirates (UAE). It also examined the moderating effect of work environment on the relationships between technology management and organizational performance, between innovation and organizational performance, and between training and organizational performance. This study has followed the quantitative method to collect the data and smart-PLS has been used to examine the nexus among the understudy variables. The overall findings signified a positive effect of technology management, innovation, and training on organization performance in ADNOC UAE. The result also indicates the moderating effect of working environment on the relationship between technology management and organizational performance. The overall findings imply that technology management, training and innovation are crucial drivers of enhanced performance, but conducive environment should be ensured to stimulate endured performance.
 
Mohd Hafizul Ismail, Nurashikin Saaludin, Basyirah Che Mat, Siti Nur Dina Haji Mohd Ali,
Volume 34, Issue 1 (IJIEPR 2023)
Abstract

The COVID-19 pandemic forced Malaysian Higher Education Institutions to pursue online and distance learning. This study aimed to gain insight into the pre-university students’ acceptance and intention to use the Microsoft Teams (MS Teams) application for online learning platforms during the pandemic. This group of students was chosen because they had just finished high school and their transition from the school system to the university system with online learning will pose many difficulties. The theoretical framework for this study was developed using the Technology Acceptance Model (TAM) with additional facilitating conditions and computer self-efficacy as the external elements. The participants were 180 pre-university students from Universiti Kuala Lumpur Malaysian Institute of Information Technology who had experience using MS Teams during their first semester. With SPSS, the predictive factors on the acceptance of students toward online learning have been explained. The findings also indicate that the proposed TAM-based scale successfully explained the factors predicting intention to use MS Teams during the pandemic. The findings assist researchers and practitioners in developing a more comprehensive view of pre-university students’ acceptance and intention to use MS Teams. Finally, several recommendations have been made, including the implications and limitations of the study at the end of this paper to reference future research.
 

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