Search
115 articles for “Social Marketing”
-
Using Convolutional Neural Networks (CNN) for Age and Gender Prediction
Abstract: The network, security, and care have all become more dependent on age and gender identification. It's commonly used for children's access to age-appropriate content. To expand its reach, social media uses it to provide layered adverts and marketing. Face recognition has progressed to the point where we need to map it out further in order to achieve more usable results using various methodologies. In this study, we suggest using deep …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 27–32 Read article
-
Russian e-commerce: feel the difference
Abstract: Question, how can a foreign company break into the Russian market and create prosperity.A growing number of foreign companies that are opening online businesses in Russia are forecasting labor costs and producing business plans based on the tried and tested techniques used in their own respective markets of their own countries. The issue most do not identify though, is that the world of Russian e-Commerce has its own peculiarities and …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 2, 2018 · pp. 13–16 Read article
-
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
-
Constrains Perceived by the Dairy Farmers in Irrigated Ecosystem: A Case Study from Damodar Command Area, West Bengal
Abstract: Dairy farming in India is important not only in view of fulfilling the demand of milk in the country, but it has become necessary in the perspective of the reintroduction of organic farming. Despite West Bengal being one of the leading milk producing states in India, the associated bottlenecks need to be identified and solved in time so that further progress in dairy farming is not hindered. The present study …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 7, Issue 1, 2018 · pp. 1–5 Read article
-
Stock Market Prediction Based on News Sentiments
Abstract: AbstractIn today’s era, the count of investor is increasing day by day. For identifying the market risk and for the growth of profit, the market stock prediction is an important factor. People are using traditional theorems for predicting market behavior. Different methods are used for predicting the market share price such as support vector machine, regression, sentiments from different social websites like Twitter and Facebook, etc. which have some limitations. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 26–33 Read article
-
Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
-
Impact of Self-Help Groups (SHGs) on Sustainable Livelihood Development in Rural Uttarakhand: A Study on the Influence of DAY-NRLM in Income Generation and Community Empowerment
Abstract: Self-Help Groups (SHGs) have emerged as a vital mechanism for fostering sustainable livelihoods in Uttarakhand, a region challenged by poverty, migration, and unemployment. This study examines the role of SHGs in expanding livelihood programs and empowering members, particularly in income generation, while highlighting the importance of group-based approaches for vulnerable communities like small farmers and craftsmen. Data collection for the study involved a questionnaire targeting 288 respondents across 100 SHGs …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 46–54 Read article
-
Blockchain Technologies and Edge Computing in Organic Farming: From Farm-to-Market
Abstract: In today's world of growing internet-based applications and usage, blockchain technology holds the potential to significantly transform our economic, social, and environmental landscape. We are currently on the cusp of a significant transformation, witnessing a substantial shift towards recognizing the credibility and relevance of blockchain technology. This presents us with a prime moment to envision new possibilities for our lifestyles, our economic systems, and the global dynamics of human interaction. …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 10–16 Read article
-
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
-
Pharmaceutical Product Registration and Requirements in CIS Countries
Abstract: Commonwealth of Independent States (CIS) has been identified as one of the emerging markets due to the phenomenal growth of the pharmaceutical industry. It has estimated that pharmaceutical sector in Russia and other CIS nations with CAGR of 10–11% during the year 2012–2016. Russia holds 14% of CIS market in 2013 whereas pharmaceutical market in Ukraine and Kazakhstan contributed to 3–4%, respectively. The Federal Service for Surveillance in Healthcare and …
Published in Trends in Drug Delivery · Vol. 1, Issue 3, 2014 · pp. 1–8 Read article
-
Hyderabad's Charminar
Abstract: Charminar is a famous landmark in Hyderabad, India. It showcases the city's rich culture and history. Hyderabad founder Muhammad Quli Qutb Shah erected Charminar in 1591. Indo-Islamic architecture with Persian influences. Sultan Qutb Shah built Charminar in 1591. This square edifice with four pillars and intricate carvings is said to honour his wife Bhagmati. Why Charminar was erected is unknown. Many believe Charminar was constructed to celebrate the end of …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 72–78 Read article
-
Overview of Various Dynamic Community Evolution Detection Approaches
Abstract: Social network in a simplest form is a social structure consisting of units that are connected by various kinds of relations like friendship, common interest, financial exchange, dislike, knowledge or prestige. This can be represented by a combination of graph theory and data mining concepts. The easiest way to present social network in a mathematical way is graph representation where members are nodes of the graph and relations are edges …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
-
AI-Based House Price Prediction
Abstract: The housing market is one of the most dynamic and significant sectors of any economy, influencing both individual wealth and broader economic stability. Buyers, sellers, investors, and policymakers all rely on accurate housing price predictions. With the advent of artificial intelligence (AI) technologies, particularly machine learning algorithms, the task of house price prediction has seen remarkable advancements. This study provides a detailed overview of AI-based techniques for house price prediction. …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 1–7 Read article
-
The Digital Playground: Evolution, Impact, and Future of Computer Gaming
Abstract: Computer gaming has transformed from a specialized hobby into a worldwide cultural force, shaping entertainment, technology, and social connections. This article delves into the history and influence of computer gaming, exploring its beginnings, technological progress, and increasing significance in modern society. We analyze various genres of games, the rise of e-sports, and the integration of virtual reality and artificial intelligence in enhancing user experiences. Additionally, the article delves into the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 53–62 Read article
-
Necessity of “Cigarette Smoking De-Addiction Kiosks” at Ayush Health and Wellness Centers – An Overview
Abstract: Introduction and Socio-Demography: Cigarette is the most common form of smoked tobacco that is used globally. About 1.3 million deaths have been reported in India associated with tobacco use. India has implemented several tobacco controls measures, and as a part of that, de-addiction centers play an important role in treating addictions using various therapies. However, the discontinuation from taking de-addiction care from those allopathic centers is high due to higher …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 9–19 Read article
-
Sentiment Analysis Based Telecom Churn Prediction
Abstract: Predicting customer churn is a big challenge and a survival basic for Telecom operators. In a large and competitive market like India, it is very essential to gather real-time customer feedback as a health indicator. Social networks have evolved as a rich source of real-time sentiments and opinions of the general public. In this research, tweets for the Twitter handle of 5 major telecom brands in India: Aircel, Bharti Airtel, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 6–12 Read article
-
Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
-
Farmer’s Perception Towards Mobile-SMS Alert Services
Abstract: AbstractInformation and Communication Technologies (ICTs) have transformed the way information is produced, processed and shared across different stakeholders in the agriculture production systems. Of all the ICTs, mobile telephony has emerged as “the technology of choice for the masses”. The gradual and regulated expansion of telecommunication infrastructure and attendant government policies has enabled the penetration of mobile telephony across the entire social spectrum in the country. A number of innovative …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 3, Issue 2, 2014 · pp. 14–23 Read article
-
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
-
Marketing Authorization Procedure and Their Requirements for Pharmaceutical Products in European Union
Abstract: Developing a new drug requires a great amount of research works in chemistry, manufacturing, controls, preclinical science and clinical trials. European Union (EU) is a hub of political and economic union of 28 member states (MS) and extensive amount of effort was spent by the EU Commission, the EU parliament, the European Medicines Agency (EMEA) and the national authorities in updating the EU regulatory environment for pharmaceuticals and granting marketing …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 1, Issue 3, 2014 · pp. 8–15 Read article