The journal of contemporary issues in business and government
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DETERMINANTS OF FOOD SECURITY IN ALGERIA IN LIGHT OF CLIMATE CHANGE-ANALYTICAL ECONOMETRIC STUDY FOR THE PERIOD 1990-2021
Full text linkThis study aimed to identify the most important factors and variables that affect food security in Algeria in light of climate changes. The study approach includes econometric analysis based on the bound testing approach (ARDL) regarding the period of 1990-2021. The empirical study showed that rainfall does not contribute to increasing agricultural production in the long term, but rather the contribution is limited to the short term only. Therefore, enhancing and sustaining Algerian food security in light of the decline in rainfall requires ensuring water security by enhancing investments to benefit from underground and surface water. Desalinating seawater and directing it to agriculture; Strengthening national governance of food security and nutrition through a clear and shared vision of goals and means of action; Support sustainable agri-food sectors to create decent job opportunities in rural areas.
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
No full textThe 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. 
THE DIGITAL CLOUD AS A REQUIREMENT FOR ESTABLISHING THE FOUNDATIONS OF THE DIGITAL ECONOMY AMID CONTEMPORARY TECHNOLOGICAL CHALLENGES - REFERENCE TO SERVICE MODELS IN ITS APPLICATIONS
Full text linkThe transition towards a digital economy constitutes a cornerstone in contemporary technological evolution, highlighting the role of the digital cloud as a crucial factor and catalyst for growth and innovation. The digital cloud, with its flexibility, speed, and efficiency in data storage and processing, offers new opportunities for both institutions and individuals to adapt to ongoing technological challenges. It provides effective solutions to these challenges through a flexible and secure infrastructure capable of handling and analyzing vast amounts of data efficiently.This investigation seeks to illuminate the critical role of cloud computing in laying the groundwork for the digital economy, demonstrating how cloud technology enhances operational efficiencies and augments adaptability for businesses within the digital commerce landscape. Cloud computing has emerged as the preeminent technology among information society professionals and workers, embodying a collection of services delivered by providers through the internet. This enables customers to tap into the providers' advanced capabilities and resources without the necessity of investing in costly infrastructure to achieve similar functionalities within their organizations
FINANCING PATTERNS AND THEIR IMPACT ON INSTITUTIONAL DEBT - AN ECONOMETRIC STUDY USING PANEL DATA MODELS
Full text linkThis study aims to identify different financing patterns available to institutions, which can be categorised into three different patterns: self-financing, external financing through banking products and borrowing through the financial market. These patterns were considered as explanatory variables that were tested for their impact on the debt ratio, which was considered as the dependent variable. The study was conducted on a sample of five UAE institutions from 2013 to 2018. For this purpose, the standard econometric modelling approach using panel data models was applied. The statistical results indicated the acceptance of the random effects model at the 1% level of significance, reflecting the existence of a relationship between the explanatory variables representing funding patterns and the dependent variable representing the leverage ratio. In addition, a statistically significant negative effect of self-financing and external financing patterns on the debt ratio was found at the 1% level of significance
THE ROLE OF DONOR INSTITUTIONS IN SUPPORTING THE NON- PROFIT SECTOR IN SAUDI ARABIA, MODEL: SULAIMAN AL RAJHI FOUNDATION.
Full text linkDonor institutions play an important role in supporting charitable work in Saudi Arabia, for they sponsor several charity projects. It is considered one of the main components of non- profit sector. About 121 official donors are found throughout the Kingdom with various kinds of support including all voluntary and charitable fields. The most famous and prevalent one is Suliman Al Rajhi Foundation. The purpose of this research is to perceive the performance of donor institutions (Suliman Al Rajhi Foundation as a model), its procedures, policies and stereotypes from the charities’ point of view to help identify weaknesses and strengths of these institutions. This would help these institutions contribute and follow the aspirations and objectives of the Kingdom’s Vision 2030 regarding non-profit sector (which aims to increase its contribution to Domestic Product from 0.3% to 5%
DETERMINANTS,CHARACTERISTICS AND PREFORMANCE OF THE GROWTH OF MICRO AND SMALL ENTERPRISES (MSE): A SYSTEMATIC REVIEW OF EVIDENCE FROM ETHIOPIA.
Full text linkMicro and Small Enterprises (MSE) are now the center of attention for global economic development, employment creation, and growth. Micro and small enterprises account for the majority of businesses globally.The informal sector, which mostly creates MSE, continues to be the main source of employment and income for the populace in developing nations, particularly in Ethiopia.In 2011, the plan was updated with fresh focus and more aggressive goals for employment and the percentage of businesses moving up to a medium level. Nevertheless, despite their efforts, MSEs in Ethiopia face numerous challenges, which leads to poor performance and a failure to make the necessary contributions from many MSEs. Therefore, in order to boost MSE growth and performance and improve their contribution to the growth of the national economy, the government should place a strong emphasis on procedures for addressing these issues
ORGANIZATIONAL SILENCE AND ITS IMPACT ON A LOW LEVEL OF JOB PERFORMANCE
Full text linkThe study aimed to identify the relationship between organizational silence in its three dimensions (defensive silence, acquiescent silence, and social silence). This study was conducted on a random sample in the Commercial Bank of Iraq in Maysan Governorate and to identify the extent of the existence of a significant relationship between organizational silence and the level of performance. Occupational: Questionnaire forms were distributed to a sample of bank employees on the assumption that the community was homogeneous. Then the appropriate sample was drawn, where (80) questionnaire forms were distributed to a sample of employees, where it was found that there was a significant correlation between each dimension of organizational silence. (combined and individually) represented by (defensive silence, submissive silence, social silence) and the level of job performance
THE IMPACT OF BANKING ON ECONOMIC GROWTH IN DEVELOPING COUNTRIES, EMPIRICAL EVIDENCE: SUB-SAHARA AFRICA
Full text linkAfrican countries are developing better economic and monetary reforms so as to gain the status of an emergent country over a certain period of time. This study seeks to shed light on the development of the banking sector in African countries, as well as studying the relationship between the development of the banking sector and the economic growth. This study was based on quantitative data available through the World Bank for The 32 African countries for the period 1993-2016.
The results of the study showed a positive relationship between the granting of credit to the private sector by banks and the growth in GDP. The granting of credit encourages investment, reduces unemployment and increases per capita income. While there was a negative correlation between inflation and growth in GDP due to the inflation that causes investors to refrain from founding projects in inflationary countries because of the high risk of investment which affects GDP growth. There was also a negative correlation between trade balance and growth in GDP. Africa continent is mostly poor, developing and heavily dependent on exports, making the trade balance is not in its favo
QUANTITATIVE WEALTH AND INVESTMENT MANAGEMENT (QWIM) ADVANCED PORTFOLIO DIVERSIFICATION
Full text linkWithin the realm of Portfolio Diversification, the classic Mean-Variance (MV) Analysis framework faces scrutiny for its stringent assumptions and the high propensity for creating portfolios that are heavily concentrated in a limited selection of assets. Our study explores various Advanced Portfolio Diversification (APD) techniques Hierarchical Clustering (HC) with Hierarchical Principal Component Analysis (HPCA) and Dynamic Time Warping (DTW) to address the inherent estimation challenges associated with MV. These innovative methods refine the diversification process by utilizing the hierarchical and centroid clustering network approaches, thereby mitigating most of the problems incurred by the MV framework and problematic portfolios. When tested against various diversification models and anchoring strategies, these diversified portfolio management methodologies demonstrate superior performance over the traditional Mean-Variance (MV) strategy in the long-term horizon, across multiple risk-adjusted evaluation metrics. The reasons for this result are twofold: (1) the more diverse weight allocation of HC models, and (2) the flexibility of HC models in selecting different risk measures
RESEARCH ON THE LINKAGE OF DIGITAL MONEY MARKET: EMPIRICAL ANALYSIS BASED ON GRANGER CAUSALITY TEST AND VARIANCE DECOMPOSITION
Full text linkBased on the close price data of the main nine currency pairs in the digital money market in the period between 2018 and 2020, the linkage relationship between the nine currency pairs' price changes has been empirically studied. The impact of BTCUSDT and ETHUSDT on the volatility of other currencies is analyzed using Pearson correlation coefficient, Granger causality test and variance decomposition. The results show that the price change of BTCUSDT is the reason for the price change of all other currencies. The fluctuation change of BTCUSDT can be explained by its own fluctuation. The fluctuation of other currencies has little contribution on the fluctuation of BTCUSDT. Among the contributions made on the overall market volatility, BTC's impact on market volatility is higher than ETH's impact on market volatility. XRP volatility can be explained by its own volatility, and its currency trend is quite different from that of other currencies