absorptive capacity

foreign investments have always been welcome and policy makers always do their best in order to attract more and more capital into their area; But a question which gave rise to a series of studies is that is FDI always beneficial for the recipient and does it under all circumstances help the growth in the host economy? In order to answer this question, we first examined whether or not FDI, by itself, has any significant impact on growth and the results proved that FDI affects growth positively in our full sample. We then show that FDI’s effect on growth is different in developed and non-developed countries. A surprising finding in our study is that in developed countries foreign flows of investment do not affect economic growth where this effect in non-developed countries is relatively high and significant. Three different stock market indicators (market capitalization, value traded and turnover ratio) are then introduced and it is tested whether the differences in FDI’s impact in developed and non-developed countries is due to their stock-market-related financial absorptive capacities. Our key contribution in this paper, along with our other novel findings, is that we introduce cut-off levels for these three indicators which successfully split our sample into one sub-sample in which FDI strongly affects growth and one in which FDI’s effect on growth diminishes.     

Although previous research has examined the application of artificial intelligence (AI) across various areas of finance, there remains limited empirical evidence regarding its impact on corporate financial asset allocation. This gap is particularly evident when considering the organisational capabilities that enable firms to utilise AI technologies effectively. In the rapidly evolving technological landscape, artificial intelligence (AI) has emerged as a pivotal force driving innovation and transformation within corporate financial management. By embedding AI into organisational processes, companies have fundamentally reshaped their financial decision-making frameworks. However, the exact mechanisms through which AI adoption shapes the allocation of financial assets are still not fully understood. This study examines how artificial intelligence (AI) technologies influence the allocation of financial assets within corporations, with a specific focus on the moderating influence of three dynamic organisational capabilities: absorptive capacity, innovation capability, and adaptability. Based on panel data collected from companies listed on the Tehran Stock Exchange between 2020 and 2024, AI adoption is measured through textual analysis of management commentary reports obtained from the Codal system. The dependent variable comprises a set of financial ratios, including the proportion of financial assets relative to a firm’s total assets. The analysis employs multiple regression models with interaction terms to test the proposed hypotheses. Findings indicate that the adoption of AI substantially enhances the effectiveness of distributing financial assets. Moreover, absorptive capacity and innovation capability strengthen the association between AI adoption and the allocation of financial assets within firms' performance, while adaptability shows no statistically significant moderating effect. These results highlight the importance of both technological infrastructure and internal capabilities for leveraging advanced technologies to their fullest potential. This research not only enriches the academic discourse with fresh empirical insights but also offers valuable implications for financial managers, capital market regulators, and policymakers engaged in organisational digital transformation strategies.