Exploring Big Data Analytics Adoption using Affordance Theory

Veena Bansal, Shubham Shukla

Abstract

This research explores big data analytics adoption in organisations using affordance theory. Big data analytics are a set of tools and techniques that help companies to get useful business insights from the data. Adoption of big data analytics is a challenging task. Affordance theory has been used to study usage and effect of information technology. In this work, we have modified the affordance theory framework to study adoption of big data analytics. The framework takes into account characteristics of the technology, the goal and characteristics of the organisation. Organisation achieve different outcomes based on their goals and characteristics. We have used case study method to verify efficacy of the adopted framework. The results clearly show that the framework is effective in studying the adoption of big data analytics.

Download


Paper Citation


in Harvard Style

Bansal V. and Shukla S. (2021). Exploring Big Data Analytics Adoption using Affordance Theory. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 131-138. DOI: 10.5220/0010509801310138


in Bibtex Style

@conference{iceis21,
author={Veena Bansal and Shubham Shukla},
title={Exploring Big Data Analytics Adoption using Affordance Theory},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010509801310138},
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 - Exploring Big Data Analytics Adoption using Affordance Theory
SN - 978-989-758-509-8
AU - Bansal V.
AU - Shukla S.
PY - 2021
SP - 131
EP - 138
DO - 10.5220/0010509801310138