A framework for deployment of mobile business intelligence within small and medium enterprises in developing countries

Tope Samuel Adeyelure, Billy Mathias Kalema, Kelvin Joseph Bwalya

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


Over the years, there has been emergence of varieties of decision-support applications. Systems evolved due to the rapid growth in data complexity and need for accurate information in dynamic environments. Due to increase in mobility and automation of activities within enterprises, huge amounts of data are rapidly generated than they could be instantaneously utilized in heterogeneous, intra or inter-organisational business processes. Many of the developing countries’ small and medium enterprises (SMEs) are faced with challenges of accessing intelligent information for decision making at different operational sites. SMEs in developing countries are paying a huge business opportunity cost by not utilizing mobile business intelligence (MBI) systems. This is as a result of a general lack of MBI framework to inform the deployment of MBI solutions in developing countries’ SMEs. This study proposes a framework for the deployment of MBI in developing countries’ SMEs. In order to achieve this, the study adopted various scientific approaches (textual analysis, principal component analysis, and structural equation modelling) systematically. This study is expected to contribute towards the literature and the methods in establishing and determining the factors needed for the development of frameworks in information systems studies. Practically, the study is expected to aid deployment of MBI for SMEs in developing country contexts.

Original languageEnglish
Pages (from-to)825-839
Number of pages15
JournalOperational Research
Issue number3
Publication statusPublished - 1 Oct 2018


  • Mobile business intelligence
  • Principal component analysis
  • Small and medium enterprises
  • Textual analysis

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Management of Technology and Innovation


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