The use of information systems success model (ISSM) combined with the technology acceptance model (TAM) in this study focuses on new technology acceptance. Specifically, it aims to measure users' behaviours and acceptance of an ERMS. This study utilises a survey of employees in the O&G sector in Yemen, with a total 415 survey questionnaires collected. Data analysis was performed by deploying structural equation modelling (SEM) using Smart-PLS (v.3.2.8). The results reveal that users in the O&G sector are influenced by six factors [system quality (SQ), information quality (IQ), service quality (SRQ), perceived ease of use (PEOU), perceived usefulness (PU), and trust (TRU)] in their acceptance of an ERMS. The results show all of these factors and R-square values have a significant influence on employees' intentions to accept ERMS in the O&G sector.

Income inequality is crucial issue in the Malaysian economy. This issue has a great impact especially on the B40 group income household because of the rising cost of living today. Therefore, modelling of income data is done to look at income pattern of B40 group in Malaysia. Household income data for Malaysia in year 2007, 2009, 2012, 2014 and 2016 have been used in this study. The income distribution used in this study is a two-parameter distribution of Weibull, Log Normal, Fisk and Gamma. This study uses only two parametric distributions to suit the income data because the simplest model is better than the complex model. The best distribution selection is performed with the fitting of statistical distribution through maximum likelihood estimation (MLE) method. Goodness of fit test has been done to model B40 household income data. The best model for each year used to predict the average income in the future by using regression method. Weibull distribution is the best model for B40 household income data. The study also shows that the average income of the B40 group in the future will increase. Therefore, this study was conducted to assist B40 group to be more sensitive to the Malaysian economy and plan their income wisely.