This study examines the mediating effect of perceived ease of use on the relationship between tax service quality and online tax system. A total of 206 surveyed data was analyzed using structural equation modeling. The result shows that perceived ease of use has a significant mediating effect on the relationship between tax service quality and online tax system, and tax service quality has a positive significant relationship with an online tax system. This study contributes to understanding the effective usage of the online tax system through self-employed taxpayers that leads to increase in tax compliance and revenue generation in Nigeria.

Abstract-Reengineering tax service quality using second order confirmatory factor analysis, namely, responsiveness, reliability, in formativeness, assurance and usability is viewed as an enabler of tax administration effectiveness in collecting government revenues. This paper examined the psychometric properties of tax service quality items for tax administration effectiveness on the self-employed taxpayers. A total of 181 received and usable data was collected and analyzed. The findings shows the goodness fit indices are adequate with the model fit indices showing the chi-square value of 215.334, DF =146, p-value = 0.000, normed chi-square CMINDF) =1.475, CFI =0.967 and RMSEA = 0.051. In other words, the findings show that the factors help the tax administrator for providing effective tax system. Index Terms-Tax service quality, second-order CFA factor, Bayesian and self-employed taxpayers.

PurposeThis study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).Design/methodology/approachMotivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.FindingsThis work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.Originality/valueThe originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.