A Dempster–Shafer Big Data Readiness Assessment Model

Natapat Areerakulkan, Worapol Pongpech

2021

Abstract

Data-driven Transformation is a process where an organization transforms its infrastructure, strategies, operational methods, technologies, or organizational culture to facilitate and encourage data-driven decision-making behaviors. Most importantly is the ability to handle big data in the organization. Literature shown that assessing the big data readiness for the transformation of organizations in a systematically and logically model is a topic that have yet to be addressed. An ability to create a systematically and logically big data readiness assessment model is crucial to the progress of the transformation. Such model must also be able to handle uncertainty, which arises during the assessment due to various circumstances. To this end, we proposed a five tiers big data readiness assessment framework based on a Dempster–Shafer model to allow a comprehensible and a quantify readiness standing. We also presented a numerical example of our framework and model based on an organization that we have assessed prior.

Paper Citation

in Harvard Style

Areerakulkan N. and Pongpech W. (2021). A Dempster–Shafer Big Data Readiness Assessment Model. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 581-585. DOI: 10.5220/0010506205810585

in Bibtex Style

@conference{iceis21,
author={Natapat Areerakulkan and Worapol Pongpech},
title={A Dempster–Shafer Big Data Readiness Assessment Model},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={581-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010506205810585},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Dempster–Shafer Big Data Readiness Assessment Model
SN - 978-989-758-509-8
AU - Areerakulkan N.
AU - Pongpech W.
PY - 2021
SP - 581
EP - 585
DO - 10.5220/0010506205810585