Title: Analytical tool adoption level: a case study based on an evidential reasoning approach
Authors: Igor Barahona Torres; Alex Riba; Jian-Bo Yang
Cátedras CONACYT, Av. Insurgentes Sur 1582, Crédito Constructor, Delegación Benito Juárez, México City, 3940, México
Statistical Services Centre, University of Reading, Harry Pitt Building, Whiteknights Road, Reading RG6 6FN, UK
Decision and Cognitive Sciences Research Centre, Alliance Manchester Business School, The University of Manchester, Manchester M15 6PB, UK
Abstract: Adoption of analytical tools (AAT) represents a conjunction of data analysis, information technology and quantitative models used to predict trends and behaviours, reduce risks and make more robust decisions. This study proposes a hierarchical framework to investigate how analytical tools are adopted in companies. The framework consists of four constructs: management supported by data analysis, data-based competitive advantages, systems thinking and communication with outside actors. Data was collected from a range of companies in different sectors, with information received from 255 decision makers on the analytical practices in their companies. The collected data was then processed and analysed through the use of an evidential reasoning algorithm. The results were discussed regarding the adoption of analytical tools such as overall performance and distributed assessments. Sensitivity analysis was conducted. Finally, guidelines were offered for stakeholders interested in expanding analytical capabilities in their organisations.
Keywords: business analytics; evidential reasoning; decision analysis; analytical tools; analytical performance measurement; case study; information technology; quantitative modelling; decision making.
Int. J. of Transitions and Innovation Systems, 2015 Vol.4, No.1/2, pp.22 - 42
Date of acceptance: 04 Oct 2015
Available online: 10 Feb 2016