The journal of contemporary issues in business and government

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

2024-03-24T16:06:27+00:00

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.

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

2024-04-03T06:40:52+00:00

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.

INTELLECTUAL CAPITAL AND EARNINGS QUALITY, THE MODERATING ROLE OF POLITICAL CONNECTIONS IN JORDAN.

2024-04-17T07:29:19+00:00

The separation of ownership from management in corporations has led to the emergence of entities where the interests of multiple related parties may conflict. Financial reports serve as reflections that demonstrate the level of profitability of these companies and provide the primary source of information that can be utilized by various stakeholders in evaluating their performance, predicting their sustainability, cash flow projections, etc. Consequently, earnings quality plays a significant role in attracting investments and fostering economic growth in countries. As Jordan is a developing nation striving to attract investments and open up to the world, this study investigates the factors influencing the level of earnings quality, particularly after reviewing previous literature indicating a decline in earnings quality in Jordan. The study adopts a research model that aligns with the agency and resource independence theories aimed at bridging the gap and elucidating the contrasting findings of previous literature by examining the roles of intellectual capital components in effect earnings quality, particularly considering that the Jordanian legislature does not require any form of disclosure for intellectual capital by Jordanian firms. Furthermore, the study explores the moderating role of political connections on the study's relationships. To achieve the study's objectives, the sample consists of non-financial Jordanian firms listed on the Amman Stock Exchange (ASE) from 2017 to 2020, and the modified Jones model (1995) was used as a proxy to measure earnings quality. Moreover, the research findings indicated that human capital has statistically significant effects on earnings quality, while the remaining variables were not. Likewise, pertaining to the moderator effect of political connection, the results showed that political connection significantly moderates the relationship between the structure capital, relational capital, and earnings quality. Finally, this study can serve as a guide for regulatory bodies such as the Jordan Securities Commission and Amman Stock Exchange in order to formulate new strategies and policies. Furthermore, this study is able to enhance the knowledge of academic researchers by filling up the gap in the literature.

STUDYING THE LONG-TERM RELATIONSHIP BETWEEN GOVERNANCE AND ECONOMIC GROWTH DURING THE PERIOD Q1 2010-Q4 2021- A COMPARATIVE STUDY BETWEEN ALGERIA AND EGYPT

2024-04-04T09:19:40+00:00

The study aimes at search for the relationship between governance and economic growth during the period Q₁2010-Q₄2021. The data has been converted to quarterly in order to study the relationship between the variables in the long term. Depending on (the index of effective governance, the rule of law, and administrative corruption) as independent variables, (the rate of economic growth) as a dependent variable, based on the VECM model. The results of the Johnson test showed the existence of a co-integration relationship between the indicators of good governance and economic growth, and the existence of an equilibrium relationship in the long term, while there is a unidirectional causal relationship between the governance effectiveness index and the administrative corruption index in Algeria, and the existence of a unidirectional causal relationship that goes from the effectiveness of governance towards administrative corruption in Egypt and the absence of the relationship in the opposite direction. In addition to the presence of a negative impact of each of the indicators of effectiveness of governance and administrative corruption on economic growth, and from it, the relationship between them is an inverse relationship in both Algeria and Egypt. It was also concluded that there is a positive effect of the rule of law indicator on economic growth, and from it the relationship is a positive relationship.