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1118 articles for “and Markets”
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Behavioural Finance: A Critical and Differential Study with Traditional Finance
Abstract: The study illustrated how traditional and behavioural finance principles affected investors' financial decisions regarding investments. Investors must understand behavioural finance to avoid making emotional financial judgements, even when sensible financial decisions are frequently made. In traditional finance investors get information and based on that they invest in different avenues. Largescale behavioural finance and conventional finance decisions of this kind can destabilise market oddities. The ideas of traditional finance and behavioural …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 3, 2022 · pp. 31–41 Read article
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Understanding of Environmental and Cultural Factors Affecting Online Purchase Behavior
Abstract: Online purchase behavior is influenced by a complex interplay of environmental and cultural factors, which are critical to understanding the context of e-commerce. This research aims to explore how these factors shape consumer behavior, providing insights for businesses to enhance their online strategies. Environmental factors include technological infrastructure, economic conditions, and regulatory policies that create the backdrop against which online transactions occur. For instance, a robust internet infrastructure and favorable …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 29–36 Read article
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Measuring Social Media’s Impact on Impulse Buying Behavior
Abstract: This study investigates the influence of social media on impulse buying behavior, focusing on how various platforms drive spontaneous purchases and the psychological and demographic factors that contribute to this behavior. Using a mixed-method approach, the research combines quantitative surveys with qualitative insights to offer a comprehensive analysis. We explore how different types of content, such as targeted advertisements, influencer endorsements, and user-generated media, impact consumer impulses. The study examines …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 14–22 Read article
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Store Management System
Abstract: E-commerce into agriculture has significantly changed the existing structures of the agricultural markets. For farmers, it provides a direct outlet to sell their farm products and for consumers, it offers the opportunity to buy fresh and organic farm products. Here we report the design and development of an e-commerce web application for agricultural trading that not only makes use of modern web technologies but also allows farmers to list their …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–9 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Sentiment Analysis for Financial Predictions: A Review
Abstract: AbstractSentiment analysis is one of the popular research areas in computer science, as it finds its application in numerous areas like finance, election and product reviews. Behavioral economics suggests that decision of investing in financial markets is driven by feelings like greed, fear etc. With widespread adoption of technology and digitization of corporate disclosures, news and social media platforms, and information expressed through words can be mined and used to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 59–68 Read article
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Stock Trading Algorithm with Technical Indicators Using Python for Indian Stocks
Abstract: In the financial markets, algorithmic trading has become a potent instrument that enables traders to automate their tactics and profit from market inefficiencies. In this paper, we describe a Python-based algorithmic trading model that makes use of technical indicators and evaluate its performance in comparison to the well-known buy-and-hold approach. By analysing historical price data, these indicators provide insights into the market trends and potential entry or exit points for …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 8–17 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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A Review Article on Nutraceuticals – An Impact on Conventional Health Care
Abstract: Nutraceuticals, combining nutrition and pharmaceuticals, have transformed healthcare. This review explores their classification, scope, benefits, and challenges. Nutraceuticals, including dietary supplements, functional foods, herbal products, and fortified foods, promote health and prevent diseases. The global market, valued at $117 billion, is expanding rapidly, fueled by the growing focus on health. Key benefits are boosted health benefits, fewer side effects, natural options improved nutrition. Classification is traditional (conventional) nutraceuticals (e.g., lycopene, …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 9–23 Read article
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AI-Driven Promotion Platforms: Increasing Customer Engagement in Banking
Abstract: Artificial Intelligence has been in talk since data was considered as an asset. Using this data, prolific information has been extracted to gather detailed information and create datasets. Artificial intelligence is shaping the narrative of the world in the 21st century. It has become a driving force behind innovation, influencing various industries and redefining traditional practices. Artificial intelligence has revolutionized customer engagement strategies across industries, particularly Banking. This study explores …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 87–92 Read article
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Indian Entrepreneurs' Role in E-Commerce
Abstract: The e-commerce industry in India has experienced unprecedented growth as a result of the rapid penetration of the internet, the availability of affordable telephones, and the shifting behaviors of consumers. Using technology, ingenuity, and locally tailored solutions, Indian businesspeople have been at the forefront of this transformation, which has enabled them to serve a massive and varied market. An examination of the ways in which Indian e-commerce firms have triumphed …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 01–15 Read article
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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 37–46 Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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A Case Study on Performance of Credit Rating Agencies: An Overview
Abstract: Credit rating is one of the significant supporting services for the development of debt capital market. Recently, credit rating agencies have also started playing a pivotal role in the development of Indian common stock market by grading IPOs. But the rating agencies and their services are under scanner, particularly after the eruption of recession. In the backdrop of debate over the working of credit rating agencies all over the world, …
Published in Journal of Production Research & Management · Vol. 5, Issue 2, 2015 · pp. 16–23 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Fresh Bazaar Under Online Advertise Proposal on Behalf of Agricultural Food
Abstract: Agriculture plays an important role in people's lives. This provides an adequate food supply for humans. This project deals with the agricultural marketing process of India and Nepal, where farmers live in rural areas and struggle to earn a living despite their hard work from dawn to dusk. In the distribution aspects, traditionally, farmers depend on intermediaries for their production, resulting in reduced income and a limited market. After harvest, …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 5–10 Read article
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Production, Processing, and Value Addition of Selected Fruits and Vegetables in Particular Region of Bangladesh: Status, Challenges, and Opportunities
Abstract: The objective of the study was to explore the status, challenges, and opportunities of production, processing, and value addition of banana, tomato, and jackfruit in the Gazipur and Bogura districts of Bangladesh. A cross-sectional survey with purposive sampling (n=200) was conducted by qualitative and quantitative data collection methods. About 97% of respondents age were 20-60 years with under secondary level (63%) education. Most of the family (38% and 29.50%) contain …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 11, Issue 1, 2022 · pp. 7–15 Read article
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Pharmaceutical Drug Regulations and Registration Process to Russia
Abstract: Commonwealth of Independent States (CIS) has been identified to be one of emerging markets due to the phenomenal growth of the pharmaceutical industry. It has been estimated that pharmaceutical sector in Russia and other CIS nations with CAGR of 10 to 11% during the year 2012–2016. Russia holds 14% of CIS market in 2013. The choice of Russia as one of the destination for the market of the drug products …
Published in Trends in Drug Delivery · Vol. 2, Issue 2, 2015 · pp. 8–18 Read article