Common Leadership Traits Among
Executives in Financially Successful
Organizations in Oman

ABSTRACT

This research work is primarily anchored on the traits theory of leadership and uses a very reliable and valid leadership assessment framework and tool to unravel common leadership traits found in executives working in select companies featuring in the top 20 financially successful companies operating in Oman which has consistently generated profits for the last 5 years. Considering the scope of this study, as well as the ensuing results, it can be concluded that there are common leadership traits among consistently profit-making organizations in Oman and the leadership traits seen in the top 20 organizations are different from the ones seen in the top 5 organizations which probably is the difference between good companies and great companies. This study to unravel if there are common leadership traits among Senior leaders working for consistently profit-making companies has made some contributions to the field of talent management and human resource development. Supporting the work of other researchers such as (Mishra, Grunewald, and Kulkarni, 2014) the study has again confirmed that the relationship between leadership traits and the profitability of Companies

Keywords: Competency, Traits, Profitability, leadership, Oman

Employment Retention: Active Employee
Engagement, Employee Satisfaction and
Leadership Factors of a Successful Human
Resource Strategic Practices in an Organization

ABSTRACT

For organizational executives, the lack of retention methods might become a top worry. In the long run, the company will gain by keeping valuable people. The current study attempted to examine how successful human resource strategic practices in an organization determine its employee retention taking employee engagement, employee satisfaction, and leadership into consideration. The study was conducted on 108 school teachers. Data from this quantitative study was collected by using standardized tools and analysis was done by using correlation and regression statistics. The results from the inter-correlations matrix showed that there are significant positive correlations among all the factors. Moreover, regression analysis suggested that employee engagement, employee satisfaction, and transformational leadership are the potential predictors of employee retention. Employee satisfaction emerged as the most potential predictor of employee retention among teachers

Blockchain in Strategic
Human Resource Management

ABSTRACT

Changes are necessary, that’s a way one can be prepared for what’s to come in future. Of all the drastic and
major changes, this paper shall however focus on the shift of Human Resource Management; the core of any
organization that targets to achieve their premeditated outcomes through planning strategically. To stay
abreast of the demands and rigor within the profession, Human Resource Management must always adapt
and respond to changes thereby altering their own competencies and knowledge (Peacock, 2017). Between
familiarizing new technology in different range of any given organization and managing their resources,
Human Resource has somehow missed out on some of the major disadvantages that came along. This
research paper thus shall introduce a very innovative and new technology; Blockchain to fill up gap that the
existing technology has created and strategically overcome the loss in future. Presenting in detail about any
technology on papers is easier, but how far would organizations understand the necessity of this implementation
and even if they are willing to take the risk was calculated through conducting this quantitative research.
A very detailed literature review has been done in this research paper to point out the gap created and how it
could be mend. Finally, it was concluded that the surveyed population which represented the Human
Resource, settled introducing this technology would be a strategic move.

Keywords: Human Resource Management (HRM), Strategic Human Resource Management (SHRM),
Blockchain Technology, Applicant Tracking System (ATS).

Plateauing Demand & Cheaper Energy
Alternatives disrupting Oil & Gas
Industry Supplies. Portfolio Analysis of
total energy mix amidst rising demand
for Fossil Fuels

ABSTRACT

The current study aimed to focus on the demand aspect of the oil and gas industry where several
factors influence economic development, energy transition plan, government policies, technological
development etc. Mainly impact of renewable energy, nuclear energy and Electric Vehicles on oil and
gas industry is notified to analyze oil and gas industry demand by 2030.Various effective renewable
energy forms and carbon reduction techniques are also discussed in this report. Data analysis id done
using mixed methods – Quantitative and Qualitative Analysis Were Survey and interview questionnaire
are used to collect data and analyze. Finally, conclusions are drawn, and recommendations are given
based on the research analysis.

Student Satisfaction and Service Quality
in Higher Education

ABSTRACT

This study aims to examine the student’s satisfaction level having online mode of classes. The study was
conducted in a higher education institution that is offering online international MBA and DBA program
during 2021-time frame. The research used purposive sampling method from selected online students and
questionnaires were given via google forms. Questionnaire used 5-point Likert scale for easy tabulation and
interpretation. The data was analyzed using SPSS Software for descriptive statistics. The findings of the
study are presented in the results and discussion part of the study.

Role of Pro-Active Governments
in the assessment of community
preparedness to overcome
Covid-19 through digital risk
alignment and app-based risk
mitigation process

ABSTRACT

Currently, much research has been conducted about how the governments made e-transformation in the
health sector. But how the government is carrying out the effective monitoring and assessment of e-health
apps is yet to be explored. Therefore, the study investigated the pro-active Saudi government’s role in assessing
community preparedness to overcome the virus through digital risk alignment and app-based risk mitigation
process. The study adopted a quantitative approach and is empirical in nature. The researcher approach
two different sectors of Saudi Arabia, the Ministry of Health (MOH) and Ministry of Communications and
Information Technology (MCIT). The study sample consisted of 93 participants employed at MOH and
MCIT. The data was collected through a survey questionnaire which consisted of 21 close-ended items being
on a 5-point-Likert scale. The data was analyzed using SPSS version 25.0. The result of the study indicated
that the government of Saudi Arabia was prepared for the emergency caused by COVID-19 and that they
were able to successfully deploy ICT at healthcare system by launching various telemedicine apps which
provided e-health services to the community people. Moreover, the government was able to effectively
measure the performance of these apps which showed them how much the community was prepared against this emergency. The study concluded that Saudi Arabia’s Vision 2030 framework, set the way for digital transformation. COVID-19 made it possible to promote and test this change. Artificial intelligence’s application in integrating various data sources during future outbreaks in Saudi Arabia should be investigated
further.

The impact of lean six sigma management
on compliance to Covid-19 health
precaution measures at the University of
Botswana clinic

ABSTRACT

The COVID-19 pandemic is considered a major disruptive event of this decade, raising unforeseen
socio-economic implications worldwide. This novel virus (SARS-CoV-2) has increased the influx of
patients in hospitals, and healthcare organizations are facing unprecedented constraints in their operations to
deal with increased demand and pressed capacity. For much of Africa, it seems likely that the larger infection
and mortality impact of COVID-19 is still to come. Like other African countries, Botswana adopted public
health and mitigation measures taken by states that were more advanced in their response to the pandemic.
It reacted rapidly despite limited resources and capacity. LSS implementation in hospitals has resulted in the
lowering of inventory levels and improving process efficiency and overall performance. All the Lean principles
of specify value, value streaming, flow, pull and perfection were determined to varying degrees at the
University of Botswana clinic. The patient flow mapping which was devised at the facility employed the use
of Six Sigma DMAIC method to ensure that services are offered in a predictable and orderly manner. The
results showed that LSS principles were employed in the clinic and showed an overall positive impact on the
compliance to COVID-19 health protocols.

Examining Intangible Choices & Tangible
Perceptions Influencing Passenger ‘Airport
Transfer’ Options – An Empirical Study of
Dubai International Airport, UAE

ABSTRACT

This research aimed to observe the intangible choices & real perceptions that affect the choice of Dubai
airport as a transfer point for a passenger along their journey. Most of the new airport research and
management initiative focuses on performance, effectiveness, processing speed and international world
rankings. Such incentives have seemed to value airports that are uniquely capable of moving the grandest
number of customers and their baggage.

The researchers noted that when it is recognized that the experience economy could add value & build
consumer loyalty, the airport customer’s experience is critically prominent.

The research paper deserves analysis, as hubs play a significant role in modern society, whether for personal
or business purposes and also to enable families from all over the world to stay linked. The core part of this
thesis aims to establish and analyze passengers’ personal decisions flying from a representative set of
connecting airports.

The analysis involves Comprehensive Data obtained from two hundred seventy-five travelers that had
engaged with the services of DXB. The methodology here had to be adapted to published research material
used as a case study approach conducted at Terminal 3 on the same subject.

In this study, the researcher will attempt to investigate a travelling customer ‘ different habits and how they
manage their time before departing. There are significant variations in the time management approach
depending on the intent of the trip and profiles. This research would examine if recognizable characteristics
are seen in the different segmentation of travelers and use these findings if a market dynamics approach
achieves managerial benefits.

Artificial Intelligence in School
Management System

ABSTRACT

A School Management Software is a series of computer instructions developed specifically for handling
schools’ day-to-day administrative tasks. School management software enables schools to track day-to-day
operations remotely, along with handling all resources and data on a single platform. Most schools currently
use school management software to improve performance, competitiveness and thus save a lot of time
involved in carrying out different administrative operations. Such programs also helps to reduce the burden
of large-scale data processing by schools. Although the school management software is used, the process is
still not automated and human interference is still observed to be used for data entry and processing the
applications. This can be reduced by implementing Artificial intelligence in the school Management
software. The present study aims to examine the implementation of Artificial Intelligence in a School
Management System.

Keywords— Artificial intelligence, education system, School Management Software.

Effects of Predictive Data Analytics
Using Big Data Analytics on Inventory
Optimization in Landmark Group

ABSTRACT

The present study attempted to examine the influence of predictive data analytics using big data analysis on
the performance of inventory optimisation enablers in the Landmark Group, UAE. Landmark Group, UAE
has invested heavily in Industry 4.0 technologies in the recent past and has implemented predictive analytics
capability. Considering the organisation as valid research setting for investigating the topic, a survey was
conducted using a structured questionnaire designed in accordance with an initial theoretical construct,
which in turn was designed with the help of detailed review of literature. The initial theoretical construct was
designed with usage of predictive data analytics techniques as independent variables and inventory
optimisation enablers as dependent variables. The data collected was encoded and analysed through
descriptive statistical analysis and multivariate analysis of variance, which were selected as methods under
the positivism paradigm with deductive learning and quantitative methodology. The analysis was done
without and with big data characteristics applied as moderators. The results showed significant influence of
Support Vector Machine and Flow-based Events Analysis on the inventory optimisation enablers even with
limited usage. Other influential techniques found were Demands Pattern Recognition, Demand – Supply
Predictions, and Regression Analysis. However, significant negative effects of big data characteristics were discovered as moderators. This finding reflected the risks of overloading predictive data analytics techniques
with big data without appropriate processing following the methods of categorisation, contextual
classification, data cleaning, and data quality auditing before using them for predictive analytics.

Keywords— Demands Pattern Recognition, Demand – Supply Predictions, Support Vector Machine,
Flow-based Events Analysis, and inventory optimisation.