Electronic payment systems act as a catalyst in the economic development of many developing countries. However, their evaluation has become a daunting task over the years. This research employed a two-stage multi-criteria decision analysis (MCDA) to evaluate e-payment systems in Ghana. The AHP method was utilized to find the contribution scores of the various criteria for the performance of the e-payment systems. With the aid of the Probability Linguistic-TOPSIS (PL-TOPSIS) approach, we obtained the performance scores of the e-payment systems and ranked them. Among the six indicators employed in this study, we found cost-effectiveness to be the major indicator of an e-payment system performance. The performance ranking results indicated that credit/debit card has the highest performance score, followed by mobile money, ATM, online banking, and E-zwitch, respectively. We contribute to literature by providing intuitions on how AHP and PL-TOPSIS methods can be applied to evaluate the performance of e-payment systems.

This study updates Humanitarian Logistics Digital Business Ecosystem framework coupled with the development of a proposed integrated CCSD-CoCoSo MCDM method to rank factors used in assessing humanitarian and business logistics actor’s propensity to use, diffuse, and adopt a collaborative digital business ecosystem platform for their future operational use. Employing nine criteria derived from technology innovation theories and institutional theory, and 28 experts comprising our decision matrix. The findings report perceived relative advantage, perceived safety and security, and infrastructure and expertise as the top three vital criteria that experts believe when addressed in an ecosystem platform for humanitarian and business logistics actors it would encourage a collaboration for their sustainable future operations. With organisational culture and structure as the least prioritised criteria. The study concludes that the CCSD-CoCoSo obtained results are objective, validating, and that this model is useful and suitable for MCDM analysis and policy making.