#J-163 2022 Approved

Standards of Building e-Learning Systems in Higher Education

Firas Habbal

At the beginning of the 21st century, virtual education has been positioned as an alternative modality, among other aspects, due to psycho-pedagogical advances and constant technological innovation. There has also been an exponential increase in educational proposals online due to the influence exerted by globalization and the increase in the use of information and communication technologies to provide educational services. Thus, virtual teaching and the development of learning objects represent permanent research phenomena in all disciplinary areas. Digital learning is characterized by the convergence of methods, technologies, applications and services aimed at sustaining learning via the web-portals. Therefore, online training considers as fundamental aspects for the learning development of skills in the management of technological platforms. It is also clear that online education is intended to penetrate the education market at all levels, and this is what also prompts reflection on the potential impact on education in the present century.

Habbal, Firas. (2022). Standards of Building e-Learning Systems in Higher Education. Emirati Journal of Business, Economics and Social Studies.

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#J-169 2022 Approved

Service Quality Control using Queuing Theory

Riktesh Srivastava

Customers are compelled to queue when a service system is at its busiest. This issue not only reduces customer pleasure, but it also causes the company to lose money. For consumer losses, this study proposes a queue model of customer queuing behavior. The goal is to reduce customer losses, hence researchers are looking at queue setup and optimization in random service systems. We developed three queuing models: MG1, GM1, and GG1 for estimating service quality control. We investigate queuing systems for predicting replies for service quality control based on queue models of customer behavior. The study found that the MG1 queue model yields the best service quality, however the GM1 and GG1 results are relatively close behind.

Srivastava, Riktesh. (2022). Service Quality Control using Queuing Theory. Emirati Journal of Business, Economics and Social Studies.

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#J-170 2022 Approved

Identification of Online Recruitment Fraud (ORF) through Predictive Models

Riktesh Srivastava

Job postings online have become popular these days due to connecting to job seekers around the world. There are also instances where the fraudulent employer posts a job online and expects people to apply to these postings. These fraudulent employers impend job seekers' privacy, spawns fake job offers, and wanes. We perceived that most of the Online Recruitment Fraud (ORF) has matching features. Though the user cannot categorize them, we propose using various predictive models like Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest, Naïve Bayes, or Logistics Regression to detect them effortlessly. Dataset with 17780 job postings was downloaded from Kaggle to identify which proposed model best predicts the fraudulent job posting. The dataset includes 14 features to determine whether online job posting is fraudulent or non-fraudulent. 70% of these job postings train the model, and the remaining 30% test the model's efficiency. The outcomes of each model are predicted using four evaluation metrics – Classification Accuracy (CA), Precision, Recall and F-1 score. The research found its suitability from two sides: the websites can identify fake jobs before being published, and job seekers are sheltered from fraudulent job postings.

Srivastava, Riktesh. (2022). Identification of Online Recruitment Fraud (ORF) through Predictive Models. Emirati Journal of Business, Economics and Social Studies.

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#J-171 2022 Approved

Understanding Virtual Employee Onboarding (VEO): The New Normal and beyond

Deepanjana Varshney

The article analyzes the intricacies of Virtual Employee Onboarding programs (VEO) from the beginning of the Covid-19 outbreak and beyond. The paper aims to understand the strategic significance of the Virtual Onboarding process with recent corporate illustrations of onboarding programs. Besides, the literature discusses the ideal Virtual Onboarding process with examples of the commonly used tools. An effective VEO program is highlighted with the necessary conditions and the program components that should be incorporated to make an inclusive and enriching virtual onboarding experience. There are managerial implications drawn from the research: sophisticated, technology imbued virtual Onboarding can be designed, and the tools and company practices can be applied in the business context of Onboarding. Lastly, the challenges and emerging trends can be insightful to VEO practices for creating an amazing new employee onboarding experience.

Varshney, Deepanjana. (2022). Understanding Virtual Employee Onboarding (VEO): The New Normal and beyond. Emirati Journal of Business, Economics and Social Studies.

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#J-176 2022 Approved

Key Success Factors for Customer Relationship Management (CRM) Projects within SMEs

Elsir Mohamed

Customer Relationship Management (CRM) has emerged as a must-have capability for the modern firm irrespective of size and sector. The importance of CRM can be attributed to the need for today’s businesses to be customer-centric or customer-focused. As a business strategy, CRM seeks to develop and improve relationships with targeted customers to optimize customer value, competitiveness, and corporate profitability. While CRM has a truly strong business case, approximately 70% of CRM implementation projects do not create the intended business value. With this in mind, this work has reviewed relevant literature and explored 8 CSFs that can guide SMEs wishing to successfully implement CRM projects. The 8 CSFs cover the people, technologies, and processes – the core elements of a CRM strategy. In particular, the 8 CSFs include senior leadership sponsorship, customer-oriented CRM strategy, effective change management, customer data quality and availability, human resource management, the right CRM technology, CRM implementation methodology, and systems integration. Future studies may consider ranking the significance of the 8 CSFs based on the findings of an empirical research.

Mohamed, Elsir. (2022). Key Success Factors for Customer Relationship Management (CRM) Projects within SMEs. Emirati Journal of Business, Economics and Social Studies.

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#J-192 2022 Approved

Applying Strategic Management approaches to a nursery school in the United Arab Emirates

Deepanjana Varshney

Strategic management is the evaluation, planning, and implementation process to maintain or improve competitive advantage. The examination consists of appraising the macro and the microenvironmental contexts. The strategic implementation looks forward to effective leadership in practice to establish the suitable structure of the firm, foster organizational culture and evaluate the strategic processes through the relevant control systems and tools. The organizational results demonstrate the success of the strategic measures undertaken like revenues, market shares, profitability and the return on investment. We chose a nursery located in the UAE where one of the authors was associated and explored the application of the salient strategic management concepts and business strategies. Permission was taken from the management to conform to the ethical guidelines. The brief case study can light the future research implications on the management and overcoming the obstacles encountered in the process.

Varshney, Deepanjana. (2022). Applying Strategic Management approaches to a nursery school in the United Arab Emirates. Emirati Journal of Business, Economics and Social Studies.

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#J-208 2022 Approved

Open Data: A National Data Governance Strategy for Open Science and Economic Development - A case study of the United Arab Emirates

Tosin Ekundayo

Open science is data-based endeavor. It requires scientific collection and analysis to arrive at findings, that explains a phenomenon. Data are either primary or secondary. In a post pandemic world, restrictions are posing challenges to the collection of primary data for scientific analysis purpose. This is due to limited financial and/or time resources and/or some form of social distancing. A sustaining alternative for open science program is secondary data. These are data collected by a credible source like government and reputable organizations (Chinelo Igwenagu, 2016; Morgan & J.Harmon, n.d.). How accessible are open data for open science in the MENA region? The difficulty and/or unavailability of data poses a challenge to open science practices in the MENA region. This paper intends to investigates open data for open science and economic development in the United Arab Emirates (UAE) as a leading country in the MENA region. The aim is to identify the region’s open data and open science gaps based on the Open Data Barometer (ODB) framework and proffer insight for optimization, using the national data governance approach of Open data as per the Open Data Charter (ODC) principles of 2015. This study reviews a 63 randomly selected list of government entities & ministries open data practices in the UAE. Potential findings will help assess open data and open science strategy in the region. This is significant because it will draw the attention of MENA government and stakeholders to the gaps and opportunities in the revival of a post pandemic economy. It could also serve as a model for other MENA nations in their pursuance of all-round development.

Ekundayo, Tosin. (2022). Open Data: A National Data Governance Strategy for Open Science and Economic Development - A case study of the United Arab Emirates. Emirati Journal of Business, Economics and Social Studies.

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#J-209 2022 Approved

Analytics for Smart Keys application and User interface of streaming data

Firas Habbal

Big data has been a challenge for organizations and technology professionals because conventional software applications have struggled in the maintenance and analysis of big data. These software applications did not consider the immense growth of user generated data and struggled to keep up with the pace of the technology. It necessitated developing new applications that focused on the principles of artificial intelligence and data mining such that a heuristic search could provide meaningful results for big data. Smart keys applications and user interface of data streaming are two examples where it is crucial to manage big data for gaining competitive advantage in the contemporary context. This study analyses different aspects of big data in the context of analytics for smart keys application and user interface of streaming data. The study is based on the collection and analysis of secondary data. Data was collected from peer-reviewed journal articles, books, technology magazines, and other authenticated sources. The findings of the study indicated significant benefits of using big data analytics in smart keys applications and user streaming for big data. These applications are the best candidates for applying the concepts of big data analytics and organizations can gain a competitive advantage from the implementation.

Habbal, Firas. (2022). Analytics for Smart Keys application and User interface of streaming data. Emirati Journal of Business, Economics and Social Studies.

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