488 Int. J. Business Information Systems, Vol. 19, No. 4, 2015 Copyright © 2015 Inderscience Enterprises Ltd. Prioritisation of cloud computing acceptance indicators using fuzzy AHP Narges Safari Department of Information Technology Management, Sistan and Baluchestan University, University Headquarters, Daneshgah Ave., P.O. Box 98155-987, Zahedan, Iran Email: nrgssafari@gmail.com Fariba Safari Department of Information Technology Management, Tarbiat Modares University, Jalale Alahmad Avenue, P.O. Box 14155-111, Tehran, Iran Email: safari.frb@gmail.com Mehdi Kazemi and Somaye Ahmadi Department of Information Technology Management, Sistan and Baluchestan University, University Headquarters, Daneshgah Ave., P.O. Box 98155-987, Zahedan, Iran Email: mhdikazmi@gmail.co Email: somayeh.ahmadi2011@yahoo.com Alireza Hasanzadeh* Department of Information Technology Management, Tarbiat Modares University (TMU), Jalale Alahmad Avenue, P.O. Box 14155-111, Tehran, Iran Fax: +98-21-82883637 Email: itmmodares@gmail.com *Corresponding author Abstract: As organisations grow, documentation along with categorisation of business information will become harder in traditional databases. In addition, these growing organisations will be involved with providing expensive computing resources. Cloud computing is a cutting-edge technology with huge amounts of advantages for most companies especially the ones that are highly dependent on information systems. Therefore, the current study aims to investigate and prioritise the factors affecting cloud computing adoption. The final model presented in this study has two main criteria (organisational and individual level), four sub criteria (organisation, technology, environment and