Search results
1 – 7 of 7
Mohd Allif Anwar Abu Bakar, Mohd Rizal Palil and Ruhanita Maelah
This study examined social media, tax morale, and tax compliance behaviour. Partial Least Square-Structural Equation Modelling (PLS-SEM) was utilized to investigate the…
Abstract
This study examined social media, tax morale, and tax compliance behaviour. Partial Least Square-Structural Equation Modelling (PLS-SEM) was utilized to investigate the quantitative data gathered from 592 salaried and self-employed taxpayers in East Malaysia, comprising two regions – Sabah and Sarawak. The results showed that social media had no significant effect on tax compliance. There was, however, a significant and negative relationship between social media and tax morale. A significant and positive effect of tax morale on tax compliance was also discovered. The bootstrapping technique indicated that tax morale mediates the association between social media and tax compliance. This research is among the earliest in a developing country to investigate the effect of social media in enhancing tax compliance, thus, contributing to the tax literature with a broader focus.
Details
Keywords
The versatility of customer relationship management (CRM) systems has kept these technologies popular over the years. These solutions have been integrated into organizations of…
Abstract
The versatility of customer relationship management (CRM) systems has kept these technologies popular over the years. These solutions have been integrated into organizations of all sizes, from large corporations to small- and medium-sized enterprises. Similarly, CRM systems have also found applications in all types of industries and business sectors. All this has been the driving force behind the proliferation of CRM solutions around the world. In this chapter, the author not only reflects on the impact and democratization of CRM systems on business management and marketing strategies but also explores how these technologies can determine the company's income. In particular, the author presents an experiment that analyzes the extent to which the volume of annual investment in CRM solutions can be used to predict annual net income in a sample of companies. Using time series analysis and applying the autoregressive integrated moving average modeling technique, the researcher examines a sample of 10 companies from different industries, and countries, over a 20-year period. The results show the efficiency of the predictive models developed in nine of the 10 companies analyzed. The findings of this study allow us to conclude that there seems to be an association between the investments made in CRM solutions and the income of the companies that invest in these technologies.
Details