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The aim of our research is to investigate the relationship between risk management, corporate governance and performance in lending institutions. Mainly, this research seeks to examine the effect of risk management and some board’s features on financial performance. Empirical analyses are conducted from a sample of 17 Tunisian lending institutions over the period 2002-2011 using an OLS regression. The study shows that board size affect performance significantly. Most importantly, the existence of a risk committee within the institution has a negative and significant effect on performance.

The present article aimed at studying the relationship between project-based organization and competence management practices (recruitment, assessment, training, compensation and career management). The central question of our research is formulated as follows: To what extent does project-based organization influence competence management practices? To answer this question, we adopted a quantitative study. A total of 156 Tunisian project managers participated in our survey. We tested our hypotheses through a linear regression analysis. The results show that the majority of competence management practices, namely recruitment, evaluation and training, are more relevant to project-based organizations and thus the three first hypotheses are confirmed. However, other practices, like remuneration and career management, are insensitive to project activities.

Using bank level data this paper examines how bank’s specific characteristics and macroeconomic indicators affect the profitability in the Tunisian banking industry over the period 1990–2008. The results indicate that the more profitable banks are those higher amount of capital and lower operating costs. Furthermore, it appears that private banks tend to perform better than state owned ones.  Despite the great importance given to the board of directors, it doesn't have a dominant role in the Tunisian commercial banks. Finally, turning to macroeconomic conditions and its impact on banks’ profitability, we find that the real interest rate has a positive effect on bank profitability.

Net interest margin is a significant indicator of the efficiency of the banking financial intermediation. In general, the level of net interest margin is primarily a consequence of result of the level of development and competitiveness of the financial system of country.Therefore, It is important to determine their determinants. In this article, we analyze the determinants of net interest margin of 18 banks in Tunisia between ( 2000…2013). We found that among the internal factors, size, deposits, TLA, CEA, risk have an significant impact  on net interest margin. In external factors, only inflation have a significant impact on net interest margin..

Today, the company is becoming more and more aware of the immense power of knowledge, the stakes of which are becoming more and more crucial. However, acquiring, developing and maintaining competitive advantage from internal resources and skills remains the overarching goal for every organization. It is for this reason that it is necessary to put in place a strategic plan for the application of knowledge. This research focuses on the efforts made by companies in terms of knowledge management processes in order to implement innovative solutions. The objective of this research is part of this perspective and aims to examine the relationship between the application of knowledge and organizational innovation by highlighting the mediating effect of innovative capabilities. To determine this relationship, a quantitative method was adopted using a total of 252 Tunisian senior managers. The results of the structural equation analysis reveal the existence of a significant influence of knowledge management on both types of technical and administrative organizational innovation.

The aim of this paper is to calibrate the Longstaff, Mithal and Neis (2005) model (LMN model) based on the J-law (see Jerbi (2015) to implement the credit risk in the economic scenarios generator. The LMN model, based on the assumptions of the normality of the risks is used to establish a link between the spread, the probability of default and the liquidity risk. The related assumptions seem unrealistic given the depth of the distribution that characterizes the financial and economic data. In this context, we develop an LMN model based on the J-law taking into account the effects of Skewness and Kurtosis related to the two series of the CDS premium and the corporate bond prices. We use a simulated data that are from January 2009 to December 2016. We estimate the model parameters. The LMN model based on the J-law fit better with the reality than the one based on the normal Law.      

This study investigates the impact of knowledge management on innovation in Tunisia's banking sector through a survey of salaried executives. The results indicate a strong positive relationship, emphasizing that key components—knowledge acquisition, application, and sharing—drive both administrative and technical innovation. Effective knowledge management allows organizations to adapt to market trends and enhance business processes. Knowledge sharing fosters an innovative environment for idea creation. Therefore, organizations, especially banks aiming to boost innovation, should prioritize sustainable knowledge management to gain a competitive edge and become more agile in a fluctuating economy.

This study examines how using information and communication technologies (ICT) affects the performance of Tunisian SMEs in human resources management (HRM). The findings indicate that numerous Tunisian small and medium-sized enterprises struggle to integrate ICT tools into human resource management due to inadequate foundational knowledge about these technologies and a limited understanding?of their functionality. Consequently, they may underperform. As argued by Müller and Voigt (2021), proper utilization of ICT can be achieved through the appropriate?adoption of tools and the continuous development of digital skills within human capital. Jones and Kim (2020) also highlight the significance of this finding, suggesting that investment in tools (e.g., the intranet) not only enhances internal communication but also forges connections between mobile employees, those working from home, and office-based employees.

Speculative bubbles are of extreme importance in modern society. They are well known for their dynamics and their dramatic consequences which affect most financial markets. Therefore, many researchers have aimed to fully understand, identify and predict speculative bubbles. However, they still cannot agree on the correct identification and exact prediction of when they will burst ahead. One of the best-known models in this context is the Johansen-Ledoit-Sornette (JLS) model introduced in 1996 and which has then undergone several adjustments over the years. This model states that bubbles are not characterized by exponential growth but rather by faster than exponential growth in prices. This characteristic is due to the imitation and herd behavior of irrational investors which creates positive feedback during the bubble forming period. Thus, this model is mainly based on the log-periodic power law equation (LPPL) which is generally used in physics for the prediction of natural phenomena such as earthquakes. Our contribution through this paper is to examine the ability of standard JLS models as well as its extension to the generalized JLS model to predict the critical time of bubble burst, to measure its size and to calculate the fundamental value of financial assets. Our results are obtained by modeling asset prices of the historical oil bubble of 2008. Indeed, our implemented algorithm is based on a combination between the Levenberg-Marquardt algorithm and the Price Gyration method instead of the Taboo search method. Our obtained results gave rise to precise and correct predictions and the expected characteristics of the JLS model during the bubble period.

Today, the company is becoming more and more aware of the immense power of knowledge, the stakes of which are becoming more and more crucial. However, acquiring, developing and maintaining competitive advantage from internal resources and skills remains the overarching goal for every organization. It is for this reason that it is necessary to put in place a strategic plan for the application of knowledge. This research focuses on the efforts made by companies in terms of knowledge management processes in order to implement innovative solutions. The objective of this research is part of this perspective and aims to examine the relationship between the application of knowledge and organizational innovation by highlighting the mediating effect of innovative capabilities. To determine this relationship, a quantitative method was adopted using a total of 252 Tunisian senior managers. The results of the structural equation analysis reveal the existence of a significant influence of knowledge management on both types of technical and administrative organizational innovation.