Abstract
We present a new model to identify and prioritize factors affecting small and medium enterprises (SMEs) investment intentions by integrating existing models. Structured questionnaire is used to sam...
Highlights
Small and medium businesses (SMBs) are the engine of growth and epitome of socio-economic growth across developed and developing economies
These include Kaiser-Meyer-Oklin (KMO), Bartlett’s Tests of Sphericity (BTOS), Measure of Sample Adequacy (MSA), and eigenvalues were used to check the appropriateness of the data for principal compo nent analysis (PCA)
PCAs have been conducted for the following constructs; macro-environment factors, industry environment forces, oil and gas policy environment, resource competitive strate gies and investment intention
Summary
Small and medium businesses (SMBs) are the engine of growth and epitome of socio-economic growth across developed and developing economies. SMBs are defined in terms of quantitative and qualitative indicators. SMBs are classified in terms of investment capital, fixed assets, number of employees and sales while qualitative indicators such as legal status, industry structure, business location and ownership structure are useful to classify SMBs (Ayaggari et al, 2013; Lawal & Ijaiya, 2007; Onugu, 2011) The Ghana Statistical Service classified SMBs using quantitative attributes Appiah et al, 2021) M. Appiah et al, 2018a; MK. Appiah et al, 2021)
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