Professional Leadership Investigation in Big Data and Computer-Mediated Communication in Relation to the 11th Sustainable Development Goals (SDG) Global Blueprint

  • Oluwasegun Julius Aroba Honorary Research Associate, Department of Operations and Quality Management, Faculty of Management Sciences, Durban University of Technology, 4000, Durban South Africa http://orcid.org/0000-0002-3693-7255

Abstract

Purpose – This study aimed to explore how professionalism is impacted by big data and computer-mediated communication (CMC) in relation to level 5 leadership (L5LS).

Methodology – The method adopted here is a research design and with the use of a quantitative research design approach to carry out the analysis, the study investigated the connection between leadership influence, communication satisfaction, and job satisfaction in the context of CMC. Convenience sampling was used to gather the data, and structured questionnaires were used to protect the privacy and identity of the participants. The association between employee engagement and CMC was examined using multiple regression analysis.

Findings – The questionnaire used in this study also evaluated participants' perceptions of workplace leadership, their satisfaction with communication, and their job satisfaction with the 11th Sustainable Development Goals. The results showed a gender distribution with a slight female preponderance among the 103 participants (48 men and 55 women). Furthermore, they indicated that computer-mediated communication (CMC) channels account for 65.4% of organizational communication. These results demonstrate the widespread adoption and utilization of information and communication technologies (ICTs) within the surveyed organizations.

Practical Implication – The substantial presence of internet-based communication channels, representing 65.4% of organizational communication, emphasizes these channels' crucial role in facilitating effective communication within these organizations. Overall, the study analyses the effects of big data and CMC on professionalism and provides insights into gender distribution among participants.

Research Limitations – Encouraging inclusive, safe, resilient, and sustainable cities and human settlements is the focus of Sustainable Development Goal (SDG) 11. Although it focuses on housing and urban challenges, its theoretical implications can be applied to several different sectors, such as professional leadership in big data. Theoretically, SDG 11 may have the following effects on Big Data-related professional leadership investigations.

Author Biography

Oluwasegun Julius Aroba, Honorary Research Associate, Department of Operations and Quality Management, Faculty of Management Sciences, Durban University of Technology, 4000, Durban South Africa

Oluwasegun. J. Aroba, a Durban University of Technology lecturer, Department of Information Systems. Honorable Research Associate in the Department of Operations and Quality Management. He has a Ph.D. in Information Technology. A graduate of Information Technology University from the prestigious Coventry University United Kingdom, BSc. Computer Science and Technology (Upper-Class Division) Crawford University whose research inclination focus area are into Wireless Sensor Networks, Hyper-Heuristic, Hybrid-Heuristic, Meta-Analysis, Project Management, Data Science, Machine Learning, SAP Specialist with over decade years of experience in the higher education sector, healthcare industries, government parastatals, a consultant across the globe, a graduate member of IEEE, IITPSA South Africa, Member of IET UK. He has Chaired and Co-Chaired International and National Conferences. He is a global mentor to SMEs and European African, Sisonke NdabaX, and a seasoned guest speaker. He has a vast collaboration network across Spain, France, Morocco, the USA, the UK, South Africa, and Sweden. oluwaseguna@dut.ac.za

 

Published
2024-02-08
How to Cite
AROBA, Oluwasegun Julius. Professional Leadership Investigation in Big Data and Computer-Mediated Communication in Relation to the 11th Sustainable Development Goals (SDG) Global Blueprint. International Journal of Computing Sciences Research, [S.l.], v. 8, p. 2592-2611, feb. 2024. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/465>. Date accessed: 24 july 2024.
Section
Articles