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The purpose of this research is to assess the current level of systems literacy of air force logisticians in Nigeria.
Abstract
Purpose
The purpose of this research is to assess the current level of systems literacy of air force logisticians in Nigeria.
Design/methodology/approach
This research undertook an assessment of the knowledge of air force logistics officers on systems thinking with the aid of a qualitative questionnaire. The questionnaire featured questions on the level of literacy and application of systems thinking by air force logisticians in Nigeria.
Findings
The research finds that the majority of the air force logistics officers have very low levels of knowledge and training in systems thinking.
Originality/value
The research is a unique effort to ascertain the level of systems thinking literacy and training in air force logistics in Nigeria. The study presents a baseline and justification for intervention through an improvement of the logistics curricula used in air force training institutions in Nigeria.
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Keywords
Gustavo Grander, Luciano Ferreira da Silva and Ernesto Del Rosário Santibañez Gonzalez
This paper aims to analyze how decision support systems manage Big data to obtain value.
Abstract
Purpose
This paper aims to analyze how decision support systems manage Big data to obtain value.
Design/methodology/approach
A systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019.
Findings
The findings reveal that techniques of big data analytics, machine learning algorithms and technologies predominantly related to computer science and cloud computing are used on decision support systems. Another finding was that the main areas that these techniques and technologies are been applied are logistic, traffic, health, business and market. This article also allows authors to understand the relationship in which descriptive, predictive and prescriptive analyses are used according to an inverse relationship of complexity in data analysis and the need for human decision-making.
Originality/value
As it is an emerging theme, this study seeks to present an overview of the techniques and technologies that are being discussed in the literature to solve problems in their respective areas, as a form of theoretical contribution. The authors also understand that there is a practical contribution to the maturity of the discussion and with reflections even presented as suggestions for future research, such as the ethical discussion. This study’s descriptive classification can also serve as a guide for new researchers who seek to understand the research involving decision support systems and big data to gain value in our society.
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