A MULTI-OBJECTIVE APPROACH TO DEFINING EFFECTIVE POLICIES TO RELEASE THE STRUCTURAL CHANGE IN A COMPUTABLE GENERAL EQUILIBRIUM MODEL.

The aim of this article is to suggest changes to the economic policies of Algeria in order to address the structural imbalance in its economy. The goal is to shift from an economy that relies heavily on oil prices to a more stable and balanced production structure that promotes economic development. Using the CGEM model applied to the Algerian economy through GAMS, this article conducted a simulation of economic policies. The results of the simulation showed improvements in the production group and the demand for factors across all sectors, particularly agriculture and industry. Positive changes estimated at between 10% and 60% were recorded in all sectors. Moreover, this package of policies had a positive impact on exports outside the oil sector. Exports in the industrial sector increased positively by 128%, while those in the agricultural sector increased by 29%. These findings indicate that Algeria has enormous potential and comparative advantages in these sectors. If protected in the current period, they could emerge as strong sectors and contribute significantly to the country’s economic growth

EFFECT OF GREEN HUMAN RESOURCE MANAGEMENT PRACTICES ON SUSTAINABILITY OF FOOD AND BEVERAGE COMPANIES IN NIGERIA

The study examined the effect of green human resource management practices on sustainability of quoted food and beverage companies in Nigeria. The study specifically determined the effect of green recruitment, green training, green rewards, green performance appraisal, and green employee involvement on sustainability of food and beverages companies in Nigeria. The study adopted a survey research design. The population of the study included three hundred and twenty-five (325) staff of fourteen (14) quoted food and beverages companies and a census sampling approach was used to consider the entire population. Primary data collected through self-administered questionnaire were analysed using descriptive statistics and multiple regression with the aid of the Statistical Package for Social Sciences (SPSS version 25). The study found a significant positive effect of green recruitment, green training, green rewards, green performance appraisal, and green employee’s involvement on sustainability of food and beverages companies in Nigeria. The study concluded that, green human resource management practices have significantly enhanced the sustainability of food and beverages companies in Nigeria. The study recommended amongst others that, food and beverages companies in Nigeria should pay a serious attention in sustainable implementation of green recruitment practices which involves attracting and selecting candidates who are not only qualified but also have a strong commitment to green environmental practices. This practice ensures that the workforce is aligned with the company's green objectives from the onset

MEASURING THE IMPACT OF THE MONETARY MASS ON FDI FLOWS IN ALGERIA DURING THE PERIOD (1990-2020 ) USING THE ERROR CORRECTION MODEL (VECM)

This study aims to measure the impact of foreign direct investment on the money supply in Algeria during the period1990-2020 through the use of the error correction model (VECM),with the aim of testing the long-term causal relationship between promising foreign investment and the money supply , and the joint integration test. After testing the stability of time series, it was found that the study variables are stable in the first degree. The results of the estimates showed that there is no causal relationship between the two variables in both directions in the short term. After testing the significance of the parameters, it was found that the error correction coefficient (CointEq) is negative and moral. This explains the existence of a long-term equilibrium relationship between the study variables with a positive impact between all money supply and changes in foreign direct investment.     

LEAN MANAGEMENT MEETS KNOWLEDGE MANAGEMENT: A CRITICAL REVIEW OF IMPLEMENTATION STRATEGIES FOR SMALL ENTERPRISES

This article critically explores the integration of lean management principles within knowledge management processes in small enterprises, a topic that remains underexplored despite its potential to significantly enhance organizational efficiency and innovation. The adoption of lean principles—traditionally applied in manufacturing contexts such as eliminating waste, continuous improvement, and optimizing value—into knowledge management can be particularly transformative for small businesses, which often operate under resource constraints. Through a literature review and analysis of case studies, this review identifies effective strategies and common challenges encountered by small enterprises. The article discusses the theoretical adaptations necessary for applying lean principles to knowledge processes and provides practical insights from successful implementations. It concludes with a discussion on the future implications of this integration, offering both research directions and recommendations for small enterprise managers eager to optimize their knowledge management practices. This critical examination not only highlights the synergies and conflicts between lean management and knowledge management but also proposes a framework for small enterprises seeking to capitalize on these methodologies to foster a competitive edge

AN ANALYTICAL STUDY ON THE CONTRIBUTION OF SYMBIOTIC INSURANCE COMPANIES IN FINANCING INVESTMENT PROJECTS - THE CASE OF SALAMA INSURANCE COMPANY IN ALGERIA

This study aims to shed light on Symbiotic insurance companies, which have become one of the main institutions within the contemporary Islamic financial system as an alternative to conventional insurance companies, on the one hand, and on the one hand, and on the one hand, to identify the reality of the practical role of Symbiotic insurance companies in financing investment projects and supporting local development by applying to Salama Insurance Company in Algeria. Investment is a major objective as much as it is interested in compensating for the damages suffered by the participants in its insurance contract and therefore has no practical contribution to financing investment in the various financing formulas adopted by the company at the theoretical level.  &nbsp

ENTRY DIMENSIONS FOR PENETRATING INTERNATIONAL MARKETS CASE STUDY CONDOR FOUNDATION

Today the world is witnessing a marketing revolution, due to the shift from old methods of marketing to new systems. Because the countries today have begun to compete not only on the basis of the technology and money they possess, but on the basis of their ability to do a global marketing and open new markets based on goods, and the services it constantly provides in global markets. From this standpoint, this study aims to clarify the appropriate entry dimensions for penetrating international markets.  So we tried to project the latter onto   Condor Electronics, the major foundation in the Algerian markets.  It has been concluded that the corporation relies on the simplest form, which is direct export, to penetrate global markets, and thus it is imperative for Condor to market products that are consistent with international standards. In addition, the organization must choose other strategic alternatives in penetrating the foreign market, as this gives it control over its marketing operations

A STATISTICAL STUDY OF THE CONTRIBUTION OF SMES IN ALGERIAN ECONOMIC DEVELOPMENT A CASE STUDY OF THE PERIOD 2012-2021

This study aims to quantify the contribution of Small and Medium sized Enterprises (SMEs) to socio-economic development through the analysis of its contribution to Employment, Gross Domestic Product (GDP), Added Value outside of Hydrocarbon and Foreign Trade. A statistical study was conducted on the evolution of these indicators during the period between 2012 and 2021 to highlight the importance of SMEs which recorded a continuous evolvement in the creation of jobs and wealth demonstrated by the share of added value. Despite this modest contribution, the findings showed that the role of SMEs in exports remains insufficient, which belays the dependence on rentier economy

EFFECT OF FORENSIC ACCOUNTING ON THE PERFORMANCE OF DEPOSIT MONEY BANKS IN NIGERIA

This study investigated the effect of forensic accounting on the performance of Deposit Money Banks (DMBs) in Nigeria, focusing on the period from 2019 to 2023. A sample of 12 DMBs was analyzed using panel data analysis, employing both fixed and random effect regression models. The Hausman test indicated a p-value of 0.5876, signifying that the random effect model is the most appropriate for this analysis. The study specifically examines the impact of three forensic accounting components: Risk Assessment (RAS), Legal Services (LES), and Monitoring and Control (MAC) on the Return on Assets (ROA) of DMBs. The Random Effect Regression results reveal distinct impacts of these components on bank performance. The coefficient for RAS is -0.441012, with a standard error of 0.994948, a t-statistic of -0.443251, and a probability value of 0.6593, indicating an insignificant and potentially negative effect on ROA. In contrast, the coefficient for LES is 0.047793, with a standard error of 0.022815, a t-statistic of 2.094806, and a probability value of 0.0344, showing a statistically significant positive impact on ROA. Similarly, the coefficient for MAC is 0.082441, with a standard error of 0.038630, a t-statistic of 2.134119, and a probability value of 0.0289, indicating that robust monitoring and control positively influence bank performance. The model's weighted R-squared value is 0.625076, suggesting that 62.51 percent of the variation in ROA is explained by the model, with an adjusted R-squared of 0.427152. The F-statistic of 4.480127 (p-value = 0.037410) confirms the overall significance of the model. The findings highlight the importance of enhancing legal services and monitoring controls within forensic accounting frameworks to improve the financial performance of DMBs, while also suggesting a need for a reassessment of current risk assessment practices

ARTICLE ABOUT THE NEGATIVE IMPACT OF ENVIRONMENTAL POLLUTION ON THE ECONOMIC INSTITUTION (PROSPECTS FOR THE YEAR 2035)

Regardless of their nature of operations, Economic institutions, strive for economic growth with the aim of maximizing their profits. However, in the process of conducting their activities, various negative effects on the environment occur, such as pollution and resource depletion. In order to integrate the environmental and social dimensions into the economic institution's strategy, governments have taken a series of measures and actions that align with the institution's activities and the achievement of sustainable development based on three fundamental principles: economic growth, social justice, and environmental protection. The external environmental assessment of the institution contributes to the effectiveness of its management, indicating the extent to which the institution is achieving its objectives by aligning its resources. This assessment allows for the identification of opportunities to exploit and threats or risks that can be faced or mitigated

EXPLORING THE INFLUENCE OF ARTIFICAL INTELLIGENCE ON THE BUSINESS LANDSCAPE IN INDIA: AN IN-DEPTH ANALYSIS AND IMPLEMENTATION IN BANKING SECTORS: EXPLORING THE INFLUENCE OF ARTIFICAL INTELLIGENCE ON THE BUSINESS LANDSCAPE

The proposed research work explores the Influence of AI on the business landscape in India with an in-depth analysis & its implementation in few sectors. This research delves into the transformative impact of Artificial Intelligence (AI) on the business landscape in India, conducting a comprehensive and in-depth analysis. The study aims to unravel the multifaceted ways in which AI technologies are shaping the strategies, operations, and competitiveness of businesses across various sectors in the Indian economy. Through a combination of empirical research, case studies, and industry interviews, the research seeks to identify key trends, challenges, and opportunities arising from the integration of AI into business practices. The investigation spans diverse domains, including finance, healthcare, manufacturing, and services, aiming to capture the nuanced effects of these technologies on productivity, innovation, and overall business performance. Furthermore, the study explores the readiness of Indian businesses to adopt and implement AI solutions, examining the factors influencing successful integration and potential barriers hindering widespread adoption. As an integral part of the research, the study also emphasizes the practical aspects of implementation, providing insights into best practices and strategies for businesses aiming to leverage AI technologies effectively. By doing so, it contributes actionable recommendations to industry stakeholders, policymakers, and academia, fostering a more informed and strategic approach to navigating the evolving landscape of business in the era of AI. Ultimately, this research aspires to be a valuable resource for decision-makers, offering a holistic understanding of the current state and future trajectory of AI in the Indian business ecosystem. This research further investigates the impact of Artificial Intelligence (AI) on the service sector, a pivotal contributor to a country's socio-economic growth. With a focus on gathering primary data from AI-utilizing organizations and secondary information from researchers, the study aims to analyze and draw conclusions regarding the effects of AI on both productivity and customer satisfaction. As consumer expectations for enhanced and faster services persist, companies are adapting by integrating AI, making it crucial to understand the implications of this technological shift. In the proposed work, a service sector in the country is taken into consideration. The service sector significantly contributes to a country's socio-economic growth, driven by an increasing demand for better and faster services from consumers. To meet this demand, companies are continually innovating, and a notable shift in this sector involves the adoption of Artificial Intelligent Chatbots. These chatbots offer rapid responses at a minimal cost compared to human support, transforming customer interactions. While AI continues to evolve and is considered young by scientists, it has already proven efficient in replacing repetitive mundane tasks. This study aims to collect primary data from organizations utilizing AI chatbots and secondary information from researchers, with the goal of analyzing and concluding the impact of AI Chatbots on both productivity and customer satisfaction. To begin with, first a survey was conducted amongst 5 Asian countries (one amongst them being India) and the analysis was carried out, the results discussed and summarized. The future works plans to develop more business canvas models for the successful implementation of AI not only in banking sector, but also in a large no. of establishments.&nbsp