Third-party Payment Services Selection for Logistics Public Information Platforms

Abstract

The payment mode has important effects on business transactions. This paper focuses on decision-making research on third-party payment services selection for logistics information platforms (LPIPs). From the point of view of technology adoption and LPIPs, six selection criteria of third-party payment services were proposed based on UTAUT model. An optimal decision-making approach measured by these criteria was put forward based on the multi-attribute decision-making theory. The final criteria weights were adjusted by the initial individuals separately obtained by the relative comparison method and entropy evaluation method. And the final evaluation of all was obtained by weighted averaging. An illustrative case was carried out based on the former method. It is indicated that the proposed decision-making method is effective and could well distinguish different third-party payment software for LPIPs in quantitative way.