Presenting a model of cloud business intelligence in industrial SMEs: Meta-synthesis and interpretive structural modelling approaches

ABSTRACT

One of the essential tools for predicting the business environment and analysis and timely and low-cost decisions for SMEs is cloud business intelligence. This research paper aims to present a model of cloud business intelligence for SMEs.In the current study, the Meta-synthesis method has been utilised to identify the fundamental categories of cloud business intelligence. The model is presented by exploiting the interpretive structural modelling. In this regard, the data analysis process has been performed by MATLAB and MicMac software. Consequently, presented Six main factors; 24 sub-factors were obtained from the extracted parameters of relevant researches scripts. It is evident that ‘Drivers’ is the most influential variable of the model. They then used SWARA to rank the sub-Factors.

KEYWORDS:

• Meta-Synthesis-Interpretive Structural Modelling (ISM)
• Cloud Business Intelligence (Cloud BI)
• SMEs
• Fuzzy Delphi method (FDM)
• Step-wise Weight Assessment Ratio Analysis (SWARA)

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Fatemeh Hamidinava

Fatemeh Hamidinava is a PhD Candidate of Business management in Islamic Azad University Aliabad Katoul Branch in Iran, and also is an University Tutor in the field of IT Engineering in Some North of Iran’s University. Hamidinava graduated of IT Engineering from Shiraz University.

Abdolhamid Ebrahimy

Dr Abdolhamid Ebrahimy is an Associate Professor, Department of Management, Allemeh Tabataba'i University, Tehran, Iran. One year study opportunity at the University of Austin, Texas, USA. PhD in Business Administration with (marketing trends International) University of Delhi, India. Dr Ebrahimy is retired and a member of the faculty of Islamic Azad University of Aliabad Branch, also in collaboration with the University Shahid Beheshti, University of Tehran and University of Isfahan. He is also known as the father of Iranian marketing science.

Roohallah Samiee

Dr Roohallah Samiee is an Associate Professor Department of Management, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran. Dr Samiee Graduated PhD in Public Management from Islamic Azad University, Kerman Branch.

Hosein Didehkhani

Dr Hosein Didehkhani is an Associate Professor Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran. Dr Didehkhani Graduated PhD in Industrial Engineering in Tehran Science and Research Branch.