A modified ANP and fuzzy inference system based approach for risk assessment of in-house and third party e-procurement systems

Abstract

Purpose

The increasing complexity and dynamism of new technology implemented or to implement have imposed substantial uncertainties and subjectivities in the risk assessment process. This paper aims to present a risk assessment methodology for e-procurement implementation based on modified analytic network process (ANP) coupled with fuzzy inference systems.

Design/methodology/approach

ANP is modified in such a way that the experts can provide necessary data precise numerical value, a range of numerical values, a linguistic term or a fuzzy number. The proposed methodology incorporates knowledge and judgements obtained from experts to carry out identification of risk factors and to assess the risk magnitude of the identified risk factors based on factor index, risk likelihood and risk severity.

Findings

Risk magnitude of third party systems are found to be minor with a belief of 100 per cent, and for in-house systems, the risk is found to be between minor with a belief of 30 per cent and major of 70 per cent. The results indicate that by using the proposed methodology, the technological risk assessment of new technology can be done effectively and efficiently.

Research limitations/implications

Using the results of this study, the practitioners can better know the pros and cons of implementing both in-house and third party e-procurement systems.

Originality/value

The modified ANP is used mainly to structure and prioritize the diverse risk factors. Finally, an illustrative example on technological risk assessment of both in-house and third party e-procurement systems is used to demonstrate the applicability of the proposed methodology in real life situations.

Citation

Ramkumar, M. (2016), "A modified ANP and fuzzy inference system based approach for risk assessment of in-house and third party e-procurement systems", Strategic Outsourcing: An International Journal, Vol. 9 No. 2, pp. 159-188. https://doi.org/10.1108/SO-12-2015-0030