Title: Are enterprises ready for big data analytics? A survey-based approach

Authors: Vitor Fabian Brock; Habib Ullah Khan

Addresses: Wirth Consulting, Sydney, NSW, Australia ' Department of Accounting and Information Systems, College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar

Abstract: Big data analytics is a fascinating topic in the field of computer science and information systems as it challenges fundamental aspects of computation. The aim of this study is to investigate the acceptance and usage of big data analytics in enterprises, and to understand how end-users perceptions and organisational factors influence the implementation of big data projects. This study unfolds in two objectives. The first objective is to examine the concepts and elements of big data and big data analytics. The second objective is to propose and empirically validate an extensive model of technology acceptance incorporating individual perceptions and organisational elements. The proposed research model expands the traditional technology acceptance model by incorporating the dimensions of organisational learning capabilities. This study surveyed 359 information technology professionals from 83 countries in various industries who are studying at the University of Liverpool Online. This study provides relevant academic and practical insight as it integrates two technology adoption frameworks.

Keywords: technology acceptance model; TAM; organisational learning capabilities; OLD; big data; exabyte.

DOI: 10.1504/IJBIS.2017.083688

International Journal of Business Information Systems, 2017 Vol.25 No.2, pp.256 - 277

Received: 27 Oct 2015
Accepted: 26 Dec 2015

Published online: 19 Apr 2017 *

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