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Challenges with big data analytics in service supply chains in the UAE

Mehmood Khan (College of Business, Abu Dhabi University, Abu Dhabi, United Arab Emirates)

Management Decision

ISSN: 0025-1747

Article publication date: 2 April 2019

Issue publication date: 20 September 2019

1140

Abstract

Purpose

The purpose of this paper is to study the challenges associated with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE).

Design/methodology/approach

A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement, operations, administration and customer service staff in the UAE. In the third phase, responses are examined using principal component analysis to identify eight major challenges for big data. A structural model is developed to examine the significance of these dimensions to the notion of big data challenges in supply chains.

Findings

The statistical model shows 66 percent variance of response to BDA, which is caused by technical, cultural, ethical, operational, tactical, procedural, functional and organizational challenges. These are positively correlated measurement challenges with BDA in service supply chains.

Research limitations/implications

Service supply chain professionals and stakeholders believe that catering to the challenges with BDA must be a multi-faceted approach and not limited to specific practices.

Practical implications

The challenges with BDA should be taken into planning and implementation from a holistic perspective. The framework in this paper can have both theoretical and practical implications.

Originality/value

The contribution of this paper is to advance the understanding of BDA in service sector by viewing it from the perspective of different stakeholders.

Keywords

Citation

Khan, M. (2019), "Challenges with big data analytics in service supply chains in the UAE", Management Decision, Vol. 57 No. 8, pp. 2124-2147. https://doi.org/10.1108/MD-06-2018-0669

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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