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Volume XVIII, Summer, Issue 2(80), 2023
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This study contributes to the literature on financial efficiency and industrial growth. We use the Autoregressive Distributive Lag (ARDL) method to find the impact of institutional financial quality on the industry sector's growth in 14 Sub-Saharan African countries from 1990 to 2020. Our results show that only gross fixed capital formation has long-run variables and a significant (at 1% level) causal effect on the magnitude of industrial value added. As for the short run, only credit has an effective (at a 1% level) causal impact on the magnitude of industrial value added. The error correction (EC) term shows a joint significance with the causality of all variables in the long term.
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The main aim of the article is to investigate the issues of deterioration in market value of motor vehicles, to determine its volume, measuring method and its consequences. The following article analyses the decline in trade value of vehicles that are currently in use. The study has been conducted into the loss of trade value of motor vehicles that have never taken part in road accidents. The case under analysis focuses on the decline in trade value of a motor vehicle generated by the operating automotive industry. The article draws upon information from trade magazines, and with regard to insurance products, from the general terms of insurance from a selection of insurance companies.
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The research focused on the causes of inflation and public debt reversal in the West African Monetary Zone (WAMZ) economies. Several factors influencing public debt reversal and inflation, including weak institutions, high government spending, influence from external shock and lack of proper revenue mobilization. The impact of these factors on the WAMZ economies has also been examined as these countries suffer from high inflationary pressures, increasing borrowing costs and slow economic growth. Policies and other methods implemented by the WAMZ economies to address the challenges have also been evaluated. The last section of the research looks at the challenges these economies face in implementing the policy responses stipulated to address public debt reversals and inflation.
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This research has explored the effects of foreign capital inflows on the current account deficit in developing countries from 1995 to 2020. The study considers various factors such as import demand, export demand, foreign direct investment, foreign debt, economic growth, foreign remittances, and foreign reserves as independent variables. The analysis utilizes the panel autoregressive distributed lag approach to examine both the long-run and short-run relationships between the dependent and independent variables. Moreover, the study employs the Panel Granger causality test to evaluate the causal connections among the selected variables. The results indicate that import demand, foreign debt, and remittance inflows positively affect the current account deficit in developing countries. Conversely, export demand, foreign direct investment, economic growth, and foreign reserves have a negative impact on the current account deficit. Consequently, it is recommended that developing countries prioritize the augmentation of stable and substantial foreign reserves as a strategy to alleviate the level of the current account deficit.”
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In order to counter the impending shortage of skilled professionals in the aging societies of our time in many western countries such as Germany, solutions for business and society are urgently needed. Here, artificial intelligence (AI) can play an important role in mitigating the problem with the help of diverse applications. At the same time, it is important to consider both the needs of the respective employee and the company to ensure that the use of AI has a positive impact on the organization and finds social acceptance.
In this article, we describe the newly developed OSQE model (Optimize, Secure, Qualify, Expand) shown in Figure 1 from Annex, which for the first time outlines an AI cycle against the shortage of skilled professionals in a holistic approach that focuses equally on people and companies. This can serve organizations as a guide for strategy development, decision-making for and implementation of AI-supported measures in an entire cycle of an employee's affiliation with a company.
The model takes three driving forces into account: companies, professionals, and AI applications. In the model, the measures to be implemented are prioritized with ascending numbering based on what would be most urgent for a company to implement. All measures relate to areas of action that place people at the center and can be assigned to the classic cycle of belonging of an employee in the company. In this regard, the opportunities that AI offers to professionals and companies are highlighted.
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The knowledge that organizations possess, produce, and acquire adds to their strategic competency and intelligence. Organizations develop intelligence from practice and learning by doing. There is a definite relationship that exists between organizational learning and productivity that contributes to the development of organizational intelligence. Organizational intelligence is of difference kinds, but almost all of them develop from organizational actions and learning that includes but are not restricted to gaining market information, consumer interactions, business communications, creating new products and services, managing actions, solving emerging problems, etc. Intelligence is the ability to comprehend things or immediate situations and act rationally and according to what the situation demands.
In this paper, we examine on what respect organizational intelligence positively relates to organizational competency, and how intelligence help develop strategic competency which adds to their advantage and makes them more robust. We find using a theoretical model that the development of organizational intelligence confers competitive strength to an organization, and contributes to the overall development of higher productivity and organizational competence.
