The incident effects of supply chain and cloud computing integration on the business performance: An integrated SEM-ANN approach

Abstract

Purpose

The purpose of this paper is to analyse proposed cloud computing integration (CCI) and external integration (EI) effects on the relationship between the integration of supply chain and business performance of the organisation in the Indian context.

Design/methodology/approach

A two-stage, structural equation modelling (SEM) and artificial neural network (ANN) methodology are employed for the analysis, and for verifying the robustness of the developed model sensitivity analysis is performed.

Findings

The results of SEM revealed that out of 14 hypotheses, 12 hypotheses were supported. Furthermore output of SEM was used as input for the ANN model and the results highlighted that production flexibility is an essential factor for operational business performance (OBP) followed by customer integration, supplier integration, product quality, internal integration and on-time delivery (OD).

Research limitations/implications

This study focussed on the emerging economies context and cannot be applied to all the countries, and there could be other derived variables from the real factors. This investigation is intended to guide various policy and decision makers of the case domain.

Originality/value

This study has introduced new factors such as CCI, EI and organisational business performance.

Citation

Raut, R., Priyadarshinee, P., Gardas, B.B., Narkhede, B.E. and Nehete, R. (2018), "The incident effects of supply chain and cloud computing integration on the business performance: An integrated SEM-ANN approach", Benchmarking: An International Journal, Vol. 25 No. 8, pp. 2688-2722. https://doi.org/10.1108/BIJ-07-2017-0170