A Secure Cloud Computing Infrastructure for Big Data Information Management

Authors

  • Samuel Chima Ogbonna Anheuser Busch Inbev (ABInBev) Africa, Lagos, Nigeria.
  • Daniel Chukwuebuka Unigwe University of Ulster, UK.
  • Stephen Alaba John Kwara State University, Nigeria.

DOI:

https://doi.org/10.52131/pjhss.2023.v11i4.3132

Keywords:

Cloud Computing, Big Data Information Management, Data Security Measures, Compliance Practices, Organizational Readiness, Structural Equation Modeling

Abstract

Research into cloud computing integration in big data management needs thorough study of the dynamic organizational and technological relations that exist. This research analyzes the connections between Cloud Security Solutions (CSS) and Compliance Practices (CP) during Data Security Measures (DSM) in front of Organizational Readiness for Technology (ORT) and Big Data Decision-Making Capability (BDDMC) before Big Data Information Management Effectiveness (BDIME). This research aims to determine how Chinese cloud computing enterprises use CSS, CP, DSM and ORT to develop BDDMC and BDIME. The research investigates ORT as it influences the relationship between primary variables and their connection to BDIME. Structural Equation Modeling (SEM) analyzed 450 responses obtained from Chinese enterprises through a quantitative research design. The researchers performed a validity check using convergent and discriminant validity measurement techniques and analyzed the proposed relationships by studying path analysis results. This research establishes that CMS together with ASM produce higher BDDMC which creates positive effects on BDIME. The Custody-Physical measure exerts direct positive effects on BDDMC as well as BDIME. ORT applies direct influences to BDIME and reinforces the impact of CSS, DSM and CP on BDIME such that they become more effective. The research proves that organizational readiness stands as an essential factor which optimizes the efficiency of both technological and compliance approaches in big data administration systems. The examination of security and compliance together with organizational readiness contributes to cloud computing and big data management literature by showing their primary impact on organizational decision-making abilities and information management success. Organizations that make strategic investments in such areas experience meaningful positive outcomes within their big data activities in cloud environments. Cloud computing in big data management requires practitioners to enhance security measures along with strict compliance adherence and organizational readiness improvement to maximize benefits.

Author Biographies

Samuel Chima Ogbonna, Anheuser Busch Inbev (ABInBev) Africa, Lagos, Nigeria.

Artificial Intelligence Engineer, Beertech Africa Innovation Center

Daniel Chukwuebuka Unigwe, University of Ulster, UK.

Data Scientist, Ulster University Business School

Stephen Alaba John , Kwara State University, Nigeria.

Doctor of Finance, Department of Accounting and Finance

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Published

2023-12-30

How to Cite

Ogbonna, S. C., Unigwe, D. C., & John , S. A. (2023). A Secure Cloud Computing Infrastructure for Big Data Information Management. Pakistan Journal of Humanities and Social Sciences, 11(4), 4866–4882. https://doi.org/10.52131/pjhss.2023.v11i4.3132