Special Issue "Application of Big Data Analytics in the Management of Business"

Submission Deadline: 09 October 2021
Submit to Special Issue
Guest Editors
Dr. Abdelli Mohammed El Amine, University of Salamanca, Spain.
Prof. Anjali Awasthi, Concordia University, Canada.
Prof. Enric Serradell-Lopez, Open University of Catalonia, Spain.
Prof. Maite Cancelo, University of Santiago de Compostela, Spain.

Summary

Big Data plays an essential factor in the wheel of management of organizations in the world’s business so that Big Data has been receiving significant attention in a variety of research and application fields as business and management over recent years. The volume of data generated by computers, people, software, and networks along with the related difficulty of the scientific community involves creativity in organizational management. In business, the ability to work with various types of data - management techniques will provide highly technical expertise to the organizations and governments that they need to operate effectively. In addition, the increasing interest in big data analysis and applications in the management activities indicates that the digital domain field is likely to soon become a data-intensive one.

This Special Issue will present selected samples of the recent research on the use of advanced methods in management science in the wide field of Big Data Analytics, technologies, models, strategies, and methodologies. It will address common principles and technical approaches to data analysis and computational methodology used in the business field, and potentially create doors for further study and advancement of innovative analytical tools and techniques in Big Data applications.

This special issue aims to motivate researchers in the field of managing data to publish their latest research, up-to-date challenges, and opportunities. Proposed submissions should be original and unpublished.


Keywords
Big Data; Decision making; Theoretical and computational models for data Analytics; Challenges in Business Intelligence; Big data and enterprise risk management; Big Data and Sustainability; E-entrepreneurship; Entrepreneurship and Digitalization; Data business; Data management and analytics in IoT; Data in the Management; Data analytics in CSR & Accounting; Fintech (Financial technology); Digital transformation.

Published Papers
  • Payload Capacity Scheme for Quran Text Watermarking Based on Vowels with Kashida
  • Abstract The most sensitive Arabic text available online is the digital Holy Quran. This sacred Islamic religious book is recited by all Muslims worldwide including non-Arabs as part of their worship needs. Thus, it should be protected from any kind of tampering to keep its invaluable meaning intact. Different characteristics of Arabic letters like the vowels (), Kashida (extended letters), and other symbols in the Holy Quran must be secured from alterations. The cover text of the Quran and its watermarked text are different due to the low values of the Peak Signal to Noise Ratio (PSNR) and Embedding Ratio (ER).… More
  •   Views:74       Downloads:42        Download PDF

  • Modelling the Psychological Impact of COVID-19 in Saudi Arabia Using Machine Learning
  • Abstract This article aims to assess health habits, safety behaviors, and anxiety factors in the community during the novel coronavirus disease (COVID-19) pandemic in Saudi Arabia based on primary data collected through a questionnaire with 320 respondents. In other words, this paper aims to provide empirical insights into the correlation and the correspondence between socio-demographic factors (gender, nationality, age, citizenship factors, income, and education), and psycho-behavioral effects on individuals in response to the emergence of this new pandemic. To focus on the interaction between these variables and their effects, we suggest different methods of analysis, comprising regression trees and support vector… More
  •   Views:350       Downloads:201        Download PDF