How New Age Technologies Are Used to Identify Consumer Behaviour and Its Change During and After a Pandemic

2022 ◽  
pp. 279-290
Author(s):  
Ravi Sanwal
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Focus Group ◽  
Internet Of Things ◽  
Online Shopping ◽  
New Age ◽  
Marketing Strategies ◽  
The World ◽  
Different Parts

In 2020, the whole world experienced a pandemic that rose in different parts of the world leading to a pandemic; many businesses were affected because of it, and it changed people's thinking towards life. It also changed how consumers looked at purchasing products online. This study focuses mainly on how the new age technologies like machine learning, internet of things, and artificial intelligence helps in identifying the consumer buying patterns. Consumer buying pattern on online shopping have changed over a period during this pandemic. This research highlights the role of these technologies in marketing and how it has helped the companies to create their marketing strategies. This research also includes the study of change in buying patterns of consumers during the pandemic and how it has increased over a period of time through primary research done with 30 respondents taken as a focus group.

Artificial Intelligence & Machine Learning Role in Financial Services

2021 ◽  
Author(s):  
Prudhvi Parne
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Financial Services ◽  
Gold Mine ◽  
Short Period ◽  
The World ◽  
To Come ◽  
Financial Transactions ◽  
New Algorithms

Financial services are the economical backbone of any nation in the world. There are billions of financial transactions which are taking place and all this data is stored and can be considered as a gold mine of data for many different organizations. No human intelligence can dig in this amount of data to come up with something valuable. This is the reason financial organizations are employing artificial intelligence to come up with new algorithms which can change the way financial transactions are being carried out. Artificial Intelligence can complete the task in a very short period. Artificial intelligence can be used to detect frauds, identify possible attacks, and any other kind of anomalies that may be detrimental for the institution. This paper discusses the role of artificial intelligence and machine learning in the finance sector.

Innovative Marketing Strategies for Select E-Commerce Companies in India - A Review.

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Amit Kumar Bhanja ◽  
P.C Tripathy
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Business Environment ◽  
Marketing Strategies ◽  
Point Of View ◽  
Digital Marketing ◽  
Customer Base ◽  
Innovative Methods ◽  
Online Shoppers ◽  
Drastic Increase

Innovation is the key to opportunities and growth in today’s competitive and dynamic business environment. It not only nurtures but also provides companies with unique dimensions for constant reinvention of the existing way of performance which enables and facilitates them to reach out to their prospective customers more effectively. It has been estimated by Morgan Stanley that India would have 480 million shoppers buying products online by the year 2026, a drastic increase from 60 million online shoppers in the year 2016. E-commerce companies are aggressively implementing innovative methods of marketing their product offerings using tools like digital marketing, internet of things (IoT)and artificial intelligence to name a few. This paper focuses on outlining the innovative ways of marketing that the E-Commerce sector implements in orders to increase their customer base and aims at determining the future scope of this area. A conceptual comparative study of Amazon and Flipkart helps to determine which marketing strategies are more appealing and beneficial for both the customers and companies point of view.

The Struggle for Public Recognition: Understanding Early Marriage through the Lens of Honour and Shame in Six Countries in South Asia and West Africa

2020 ◽  
Vol 20 (4) ◽  
pp. 328-346
Author(s):  
Esther Miedema ◽  
Winny Koster ◽  
Nicky Pouw ◽  
Philippe Meyer ◽  
Albena Sotirova
Keyword(s):  
International Development ◽  
Female Sexuality ◽  
Social Economic ◽  
Early Marriage ◽  
Social Standing ◽  
Public Recognition ◽  
The World ◽  
Economic Future ◽  
Different Parts

There is a burgeoning body of research on the role of ‘shame’ and ‘honour’ in decisions regarding early marriage in different parts of the world. Conceptualizing shame and honour as idioms through which gendered socio-economic inequalities are created and maintained, we examine early marriage decisions in Bangladesh, Nepal, Pakistan, Ghana, Burkina Faso and Senegal. While we acknowledge the existence of important differences between countries in terms of the nature and manifestations of shame and honour, we argue that regardless of setting, neither shame and honour, nor female sexuality and chastity can be separated from the socio-economic hierarchies and inequalities. Thus, in this article we seek to identify the cross-cutting dynamic of marriage as a means to overcome the shame associated with young single women’s sexuality, protecting family honour and social standing, and/or securing young women’s social-economic future. Building on our data and available scholarship, we question the potential of emphasizing ‘choice’ as a means of reducing early marriage and advancing women’s emancipation in international development efforts. Instead, we argue in favour of initiatives that engage with young people and caregivers on the ways in which, at grassroot levels, communities may revise narratives of respectability, marriageability and social standing.

scholarly journals HOW INDUSTRY 4.0 RESHAPES THE WORLD: RECOMMENDATIONS BASED ON COMPLEX GRAPH NETWORK ANALYSIS

2021 ◽  
Vol 1 ◽  
pp. 1755-1764
Author(s):  
Rongyan Zhou ◽  
Julie Stal-Le Cardinal
Keyword(s):  
Machine Learning ◽  
Industry 4.0 ◽  
Network Models ◽  
Global Supply Chain ◽  
Great Opportunity ◽  
Strategic Research ◽  
Complex Graph ◽  
The World ◽  
Tremendous Challenge

Abstract Industry 4.0 is a great opportunity and a tremendous challenge for every role of society. Our study combines complex network and qualitative methods to analyze the Industry 4.0 macroeconomic issues and global supply chain, which enriches the qualitative analysis and machine learning in macroscopic and strategic research. Unsupervised complex graph network models are used to explore how industry 4.0 reshapes the world. Based on the in-degree and out-degree of the weighted and unweighted edges of each node, combined with the grouping results based on unsupervised learning, our study shows that the cooperation groups of Industry 4.0 are different from the previous traditional alliances. Macroeconomics issues also are studied. Finally, strong cohesive groups and recommendations for businessmen and policymakers are proposed.

REGIONALISM APPROACH UNDER THE COVID-19 CIRCUMSTANCES

2021 ◽  
Vol 27 (5) ◽  
pp. 126-133
Author(s):  
E. Rasoulinezhad ◽  
Keyword(s):  
World Economy ◽  
Policy Implications ◽  
Productive Capacity ◽  
Economic Convergence ◽  
Negative Consequences ◽  
Economic Relations ◽  
The World ◽  
And Control ◽  
Different Parts

The outbreak of Covid-19 disease since late 2019 has led to fundamental changes in the process of globalization and liberalization of the world economy. In order to prevent the spread of this disease and control its negative consequences, many countries have implemented policies such as urban quarantine, cutting off passenger communication with neighboring countries and the world, closing tourist and tourist places, and implementing policies to protect domestic industries. In general, it led to the phenomenon of reverse globalization. According to the development of new economic convergence, which is based on the role of the market in economic relations between countries can play an important role in improving the productive capacity of countries in a region and create economic integration in different parts of the world. Such a state of integration in different parts of the world could be the solution to the process of globalization and in the post-Corona era, the concept of “one for all, all for one” was created at the regional and global level. As policy implications, the paper recommended some points to make a greater integration between Iran and Russia in the region

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