We investigate whether UGC has differential impacts on stock performance for B2B and B2C firms. We collect a #bigdatas of 84 million tweets from 20.3 million Twitter accounts and 8 years of stock data for 407 companies from the S&P500 index: https://t.co/jfl0BvJN09
Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: https://t.co/lCzmDCjXin
They think. They listen. They anticipate your next move and make menial tasks automatic. Laptops built on the Project Athena spec will redefine what a laptop is meant to be. #Computex
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"Intel is investing heavily in enabling developers to take advantage of its next-gen graphics engine for AI workloads" - via @Tomshardware#Computex
https://t.co/u43yLte7pD
The findings have important implications for the design, delivery, and management of social media marketing for luxury brands to engage customers with social media content. https://t.co/42X398WPL9
The findings have important implications for the design, delivery, and management of social media marketing for luxury brands to engage customers with social media content. https://t.co/42X398WPL9
This paper uses #bigdata to study the impact of a luxury brand's social media marketing activities on customer engagement. The findings have important implications for the design, delivery, and management of social media marketing for luxury brands: https://t.co/lXVur1FXGm
This research project leverages the potential of big data to gain insights on actual
customer engagement behavior resulting from a luxury brand's social
media marketing activities: https://t.co/hjXpIgrvWo
Applying the dual perspective of customer engagement, this research (https://t.co/4FyYeKyGHS) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.
The goal of this study (https://t.co/RMmHG9md44 …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
This study answers marketing scholars' calls for research into understanding the relationship between a firm's engagement activities and the resulting customer engagement using big data: https://t.co/W4ftyt4FWE
This study ( https://t.co/5cVzJXvtOx ) used a fixed-effects (FE) model to analyze panel data consisting of 900 monthly observations for 15 luxury brands. An interesting application of #bigdata analytics and natural language processing.
This JBR article uses big data analytics to derive quantifiable luxury insights (https://t.co/CiGY7owha0). The top 15 luxury brands with the highest number of Twitter followers, identified from PMX Agency's (2017) list of luxury brands per Twitter follower counts, were included.
This research utilizes #bigdata to examine the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a #luxury#brand's social media activities on customer engagement with brand-related #socialmedia content: https://t.co/u2B6GqAzW3
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