This study empirically investigates the influence of AI-enabled accounting intelligence (AIAI) on capital market performance (CMP) of publicly listed firms on the Amman Stock Exchange, examining the mediating roles of disclosure quality (DQ) and financial information comparability (FIC). This study used a balanced panel of 215 firms listed on the Amman stock exchange that operate in a number of sectors, including banking, financial services, technology, industrial, telecommunications, and energy, from 2017 to 2024 (resulting in 1,720 firm-year observations). We employ sophisticated econometric procedures and techniques such as pooled OLS, fixed-effects, and random-effects estimation, as well as several tests such as Hausman specification testing, Breusch-Pagan LM diagnostics, panel unit root tests, heteroskedasticity- and autocorrelation-robust inferences, stepwise mediation analysis with Sobel tests, and two-step system GMM estimation to address endogeneity concerns. The empirical findings document a positive and statistically significant association between AI-enabled accounting intelligence and capital market performance (β = 0.412, p < 0.01). Moreover, AIAI exerts a robust positive influence on disclosure quality (β = 0.487, p < 0.01) and financial information comparability (β = 0.453, p < 0.01), while both DQ (β = 0.318, p < 0.01) and FIC (β = 0.276, p < 0.01) significantly enhance CMP. Mediation tests confirm that disclosure quality and financial information comparability partially mediate the AIAI–CMP nexus, with Sobel z-statistics of 6.142 and 5.873, respectively. The results remain robust after lagged specifications, alternative dependent variables, and GMM estimation. Drawing on information asymmetry, agency, signaling, efficient market, and resource-based view theories, the study contributes to the emerging discourse on digital accounting transformation by demonstrating that AI-driven accounting infrastructures function as strategic intangible resources that lower informational frictions, strengthen reporting credibility, and ultimately translate into superior valuation outcomes in capital markets.

The study examines the effect of the supply chain finance (SCF) on the corporate financial performance measured in terms of Return on Assets (ROA), Tobin's Q, and Gross Operating Profit (GOP) in the material sector of Saudi Arabia. The study selects a sample of 42 companies from the material sector listed on Tadawul starting in 2008 and ending 2019. A panel regression in terms of pooled OLS, fixed and random effects, and panel GMM is estimated to report the empirical results. The results report a negative and significant effect between the financial performance variables and supply chain finance, specifically with ROA with pooled OLS and fixed and random effects models. The results of panel GMM also show a negative and significant effect between all the financial performance variables and financing supply chain. The results are useful to academicians and the managers in the materials, inventory, and sales sections, and supply chain managers to integrate finance and SCM to achieve corporate benefits.

This paper aims at examining the effect of the Value Added by Intellectual Capital (VAIC) in terms of its three components: capital employed efficiency, human capital efficiency, and structure capital efficiency on the financial performance of commercial banks listed on the Amman Stock Exchange for the period 2010–2018.Value Added of Intellectual Capital (VAIC) model was used to measure the intellectual capital while Tobin’s Q ratio was used as an indicator of bank financial performance. The study has used parametric techniques like multiple linear regression and correlation coefficient, and other statistical methods to investigate its hypothesis. It was found that only human capital efficiency and capital employed efficiency had impacts on the banks’ financial performance. These results emphasize the importance of using the VAIC model to evaluate the financial performance of these banks, as well as encourage banks to make further investments in intellectual capital’s components, and concentrate on human resources to build up their knowledge, skills and capabilities, because of their greatest role in value creation.

The study examines the effect of board size, frequency of board meetings and frequency of audit committee meetings on the market value of 11 Jordanian commercial banks as measured by Tobin’s Q. Random effect panel data regression is employed to test the study hypotheses. Results reveal that board size has a significant and negative effect on bank market value. Results also show that frequency of board meetings has no effect on bank value, while the frequency of audit committee meetings has a significant and positive effect on bank value. The results suggest that the argument of agency theory and resource independence theory towards the role of board and its committees in supporting firm value should be always combined with the appropriate size. Accordingly, one important implication of the study is that the selection of an appropriate number of board members and the prior effective preparation for their meetings are critical factors to enhance the value of banks in Jordan.

The aim of this paper is to analyze the effect of intellectual capital on firm performance. The proposed study uses two regression models to find out whether there is any meaningful relationship between intellectual capital and Tobin’s Q as well as earnings per share (EPS). To test the research hypothesis, a sample of 19 companies listed in Tehran Stock Exchange over the period 2010-2012 based on panel method is chosen. The study uses the method originally proposed by Pulic to measure intellectual capital. The results of the implementation of two regressions analysis indicate that there were not any meaningful relationships between these two components. Therefore, the results indicate that the intellectual capital has no effect on firm performance.

This paper presents an empirical investigation to the study the effects of various factors such as free cash flow, earnings, Tobin’s Q on predicting stock performance on Tehran Stock Exchange (TSE) over the period 2005-2012. The study is performed on data from different industries including basic metals, cements, chemical, auto industry, etc. The proposed model gathers the necessary data from TSE and using various regression models, the study has determined that there was a meaningful relationship between cash value added, Earnings and Tobin’s Q when the level of significance was five percent but there was not any meaningful relationship between stock earnings and free cash flow.

This paper presents an empirical investigation to study the effect of industry type on relationship between Tobin’s Q and working capital management among selected firms from Tehran Stock Exchange. The proposed study gathers the necessary financial information from 219 different firms over the period 2001-2011 and categorizes them based on different sectors. There are five independent variables including current ratio, the ratio of current assets to total assets, debt ratio, the ratio of current liabilities to total assets and total cash. Using a linear regression by considering type of industry as dummy variable, the study detects that there was a positive and meaningful relationship between working capital and Tobin-Q in various industries.

This paper investigates the impact of corporate governance on firm value measured by Tobin’s Q. Different corporate governance proxies i.e. board size, board independence, audit committee and CEO duality are interacted with firm value. A sample of 91 nonfinancial firms listed on KSE was selected over the period 2010-2014. The findings of the study show that board size and CEO duality had negative impacts on firm value. Moreover, board size, non-executive directors and audit committee had positive and significant impacts on firm value.

Liquidity play an important role on performance of firms listed in Stock Exchange. When there is a good flow of trading stocks, people could expect more financing through absorbing investors on market. The proposed study of this paper investigates the relationship between Tobin’s Q and illiquidity in some selected firms in Tehran Stock Exchange. The proposed study selects non-financial stocks over the period of 2001-2010. The result of the survey indicates that there is a negative relationship between illiquidity and Tobin’s Q but the ratio is approximately seven percent. In other words, as illiquidity increases by one percent, we could expect only a small change in firms’ performance.