This study was aimed at investigating the impact of creative accounting methods called “Earnings Manage-ment and Income Smoothing” on earnings per share in the Jordanian industrial companies. The model of Dechow et al. (1995) [Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earnings management. Accounting Review, 70(2), 193-225.] was adopted to measure earnings management, and the model of Francis et al. (2004) [Francis, J., LaFond, R., Olsson, P. M., & Schipper, K. (2004). Costs of equity and earnings attributes. The accounting review, 79(4), 967-1010.] was adopted to measure income smoothing. In order to achieve the objectives of the study, the analytical quantitative approach was adopted. The study community consisted of the 57 industrial companies listed on the Amman Stock Exchange (ASE). As for the study sample, 36 companies were selected according to the target sample method in the period from 2008 to 2017. The results showed that there was a statistically significant impact of using the creative accounting methods on earnings per share in the industrial companies listed on the ASE, and there was an impact of practicing both earnings management and income smoothing on earnings per share in the industrial companies listed on the ASE. The results also showed that 27.8% of the industrial companies practiced earning management, while 47.2% of the industrial companies practiced income smoothing.

The moderating role of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services was explored in this study. Data were obtained through questionnaires distributed to 200 respondents who were selected using a purposive sampling method. The respondents were customers receiving financial artificial intelligence services in Jordan. Analysis was performed using a structural equation modeling approach run by Smart-partial least squares (PLS) 3.2.9 involving data from 138 returned questionnaires. The results show a negative impact of perceived risk on financial artificial intelligence services, and a moderation effect of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services. The findings can assist companies in their strategies of decreasing perceived risks that individuals could be encouraged to utilize business intelligence applications, for instance, financial technology services.