Abstract: The International Monetary Fund (IMF) is one of the renowned financial
legal entities for providing loans or funding for different projects or
progammes to enhance or recover the economic conditions of the world.
The evolution of the International Monetary Fund (IMF) may be sketched
from the outcome result of the negotiation among allied nations at the
July 1944 Bretton Woods Conference after World War Two. The Bretton
Woods Conference in 1944 gave rise to both the International Monetary
Fund (IMF) and the International Bank for Reconstruction &
Development (IBRD). Gradually, both IMF and IBRD merged to shape
the World Bank. International Monetary Fund (IMF) well-thought-out
to adopt various actions to tackle the situations of COVID-19, climate
change, trade barriers and other issues to boost the economic zone of the
world. These measures are also essential ingredients to achieve the United
Nations Sustainable Development Goals (SDG). This notion is supported
by different states and organisations (i.e., The World Trade
Organisation) too. This examination paper will examine to what extent
the International Monetary Fund (IMF) is keeping its role active as an
umbrella to boost the climate and international trade situations within
the world
Abstract: India's E-Commerce sector is rapidly evolving due to the country's growing mobile population and advancements like 5G networks, Open Network for Digital Commerce, Hyper local Delivery, and Quick Commerce. An online retail company, Flipkart, has deployed AI in marketing, data analysis and campaign optimization to enrich users’ experience, marketing initiatives and operational productivity. AI algorithms automatically understand user needs, rephrase queries, extract and analyze information and direct users to right answers. However, the deployment of AI brings ethical as well as privacy challenges concerning collection and use of personal data. This paper explores the impact of AI on the e-commerce sector in India by focusing on Flipkart Pvt. Ltd., as well as describes opportunities provided by these technologies along with associated risks and their implications for the sector. The contribution of the study is that AI has made a big difference in the sector of e-commerce in India through customized recommendations made to consumers, higher rate of customer satisfaction, increased conversion rate, etc. These benefits have enabled businesses to formulate very strong campaign strategies, but there are also new risks due to AI, such as overreliance by customers on the recommendations from machines or bias of algorithm-based decisions. The research methodology involves review of many research articles and collection of secondary data. Flipkart is focusing on AI-based products and setting up a base in the heart of Silicon Valley in California. It has also partnered with Microsoft to enhance its online shopping experience, coupled with the launch of AI for India, aimed at capitalizing on the growing internet user base and smart phone markets.
Abstract: “Instruction Manual: Research Methodology" authored by Muhammad Mahboob Ali, PhD, and Md. Kamrul Hossain, PhD, is a comprehensive guide designed to aid students, researchers, and academics in navigating the intricacies of research methodologies. This book serves as a valuable resource for individuals undertaking research across various disciplines, providing clear and practical insights into the process of conducting high quality research.
Abstract: The present study elucidates that significant difference exists amongst
profile of respondents and container management. Time of schedule,
strategic leadership, cost control and vessel capacities have positive and
significant influence on supply chain management. In addition, cost
control, vessel capacity, time of schedule and strategic leadership have
significant, positive and direct influence on effectiveness of container
management, while, effectiveness of container management has
significant, positive and direct influence on supply chain management.
Therefore, all the hypotheses are supported by the findings of the present
study. Therefore, it is essential to develop a model capable of predicting the
time of arrival for vessels, providing terminal planners with accurate
information to facilitate optimal berth planning and the owners of
containers must improve container operations by implementing integrated
operations, optimizing system dynamics, utilizing information sharing
systems, and deploying advanced technology and process optimization.
Integrated operations of separate container can lead to reduced vessel
waiting time, balanced utilization across terminals, and increased overall
profits. The owners of containers should improve capacity utilization of
their containers and they must build dense packs outside of the confines of
a container and load/unload in a single shot and use machinery with
smart technology to load as closely to the container walls as possible and
also use optimization techniques. Besides, the owners of containers should
charge rationally for their services on par with market and they must
avoid extra or additional cost for maintaining their competitiveness and
margins in profit. The owner of containers should concentrate on
networking that has to be executed immediately and it will help to balance
demand and supply and allocate various tasks to employees in the cost
effective ways. The vessel capacity must be increased or fully utilized by
means of switching to floor loading and packing containers without
pallets. Furthermore, the owners of containers must effectively collaborate
with supply chain partners that will improve their business operations.
Abstract: The study tried to analyses whether econometric tools and big data for
G20 countries and beyond upliftment can be used for scientific analysis
for sustainability so that in real life, theory can be attained and better
utilization for benefits of G20 leadership by India through using
appropriate data analytics. This may help to take suitable decision
rapidly. As such research question is whether econometric tools and big
data can be used for sustainability through scientific analysis in field of
reality for the betterment of G-20 countries and also other countries of the
earth irrespective of developed and underdeveloped countries? The study
is mainly done based on conceptual view. Time period of the study is from
January, 2023 to April, 2023.The study found that with caution
econometrics tools and big data must be used for perspectives of macro
and micro-scenario while big data can be used for larger volume of data
right direction to the policy makers and appropriate leadership. Author
suggested that econometrics tools should be used with appropriate
carefulness so that spurious relationship cannot be disseminated rather if
necessary qualitative judgment needs to be discussed to give clear cut
picture of the estimated results based on the reality. Big Data analysis
can help G-20 countries by acting a serious part in navigation the
international economy over the noteworthy trials the situation
expressions as commented by the author. Data analytics are progressively
getting more positioning for enchanting rapid choice of the global,
regional, domestic trade and business, financial, health, education sector,
agricultural sector etc. Big data is nowadays in performance can carry
vital role for large volumes of data which may be tested to assess the
impact of G20 into diversified countries of the globe to attain
sustainability.
Abstract: India's distinctive national identity is profoundly shaped by the esteemed position accorded to women throughout its history. Since the Vedic era, Indian society has cultivated a legacy of female empowerment, exemplified by learned scholars like Gargi and Anusuya. This tradition persisted through subsequent epochs, with luminaries such as Ahilyabai Holkar, Rani Lakshmibai, Sucheta Kripalani, Vijayalakshmi Pandit, and Indira Gandhi emerging as iconic figures who have significantly contributed to the nation's progress.
Historical evidence consistently demonstrates that women have possessed intellectual capacity, energy, and efficiency on par with men. Nevertheless, their contributions to society have been disproportionately low relative to their population percentage. A primary factor contributing to this disparity is the imposition of various restrictions on women since the post-Vedic era. Pernicious societal practices such as dowry, female infanticide, child marriage, illiteracy, and gender inequality have significantly impeded women's progress and potential, resulting in their marginalization and subjugation to men.
Prior to independence, the subordinate status of women was a recognized concern. Numerous initiatives and policies were conceived to elevate women's position within society, yet their implementation fell short of intended objectives.
Post-independence India has enacted a series of legislative measures, anchored in the Constitution, aimed at elevating the status of women. While these legal frameworks have undeniably contributed to progress, the challenges persisting in women's empowerment necessitated the implementation of comprehensive government schemes. These initiatives have been instrumental in advancing women's status both within domestic and societal spheres. The consequent economic and social empowerment of women is indicative of India's trajectory towards a progressive and developed future. This paper is an attempt to examine the efficacy of government schemes, policies, and programs designed to foster women's empowerment.