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Session 1 | 21 December 2020 | Day 2

Chairperson 
Dr. Meenakshi Srivastava 
Assistant Professor, Amity Institute of Information Technology, Amity University, Lucknow, India

Effect of Internet of Things and Social Media on e-commerce

Navitha Sulthana and Vasantha S

Presenter Name
Navitha Sulthana.A

40

4.10 PM
to
4.20 PM

The current scenario of business is changing rapidly. The Internet of Things and social media has been increasing simultaneously to promote the e-commerce business. The IoT has changed the business pattern and interaction between online users. The innovative approach of the Internet of Things and social media evolving globally, therefore there is upsurge in the electronic commerce widely. The impact of IoT bought massive changes across the globe in ecommerce industry. As the devices enter across the industry there is an opportunity for enormous revenue growth as well as increases the overall online shopper intelligence. The social media transformation approach leads the electronic commerce through various connected IoT devices. ecommerce uses the social media platforms to promote their online store product sales. The paper discusses about how IoT and social media boost up the brand awareness. It also reviews literatures on how ecommerce industry utilizes big data to make personalization and informed decision. They use data from various social media platforms to understand the consumer requirement and analysis the consumer preferences and customer engagement. IoT helps to gather more data through connected devices to make a decision on consumer behavior and experience. The study concludes that the online users find social media IoT device as an effective way for communication. This article contributes to the existing literature on effect of Internet of Things and Social Media on e-commerce.

Application of Big data analysis in Corporate Social Responsibility communication

Menaga A and Vasantha S

Presenter Name
Menaga.A

39

4.00 PM
to
4.10 PM

This article explains corporate social responsibility in Digital platform ,social media network is large data collector source which is called (big data ) ,this data are used recently to identify the predictive analytics and user behavior analytics, Big data is growing drastically for few reason I)for cost efficiency ii)Easy and large availability of information, This study aims to evaluate the opinions of stakeholder about corporate social responsibility in FMCG sector (Coca Cola) from Twitter .The finding of this paper is twofold a) Acquiring the Corporate social responsibility (CSR) activities communicated from Big data platform and opinion of stakeholders (customers ,employees , Owners, Investors, Creditors etc.) from twitter b) Evaluating the major gap between CSR report by the Companies and opinion of Stakeholders in Twitter ,this finding will help organization to develop the CSR performances and improvise the Corporate social responsibility communication also this transparences will be beneficial for the organization to create awareness among the Customer and bring in Customer Feedback, lastly potential developments, opportunity and implications with regards Fast moving consumer goods

Mechanism of Big Data Analytics in Consumer Behavior on Online Shopping

Ruby Evangelin M and Vasantha S

Presenter Name
M.Ruby Evangelin

35

3.50 PM
to
4.00 PM

The Internet era has exploded when it comes to online shopping. The shift due to this eruption of online shopping has also been adapted by the user. Big data has stepped into online shopping to further improve the shopping culture of consumers who engage in online shopping, to add to this. Today marketers rely entirely on big data analytics to forecast consumer behavior that can analyze current customer patterns and reach the new customer. Big Data has been a key function for making data-driven decision-making processes in this aspect. Big data helps the marketers to improve the customer assumption on the variety of the products. A deep understanding of these metrics can be established by marketers, thereby correlating them to consumer details. When they know their purchasing habits, matching the outcomes with unique customer user profiles would really be smoother for them, thereby designing targeted marketing strategies. On the other hand the big data analytics will change the promotion strategy according the customer perception which will greatly help the marketers to focus on the customers to make online impulsive buying. This study will explore the influence of big data analytics in understanding consumer behavior who tend to make online shopping.

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