Machine Learning (@StickyBigData) profile picture

Big Data Insights for Business Executives and Advertisers

New Mexico, USA
Joined July 2017
Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: doi.org/10.1016/j.indmarman.…
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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: doi.org/10.1016/j.jbusres.20…
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Are brand-targeting social #bots distorting information? A #bigdata analytics of #brand social bots on Twitter: researchgate.net/publication…
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This JBR article uses big data analytics to derive quantifiable luxury insights (doi.org/10.1016/j.jbusres.20…). 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.
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This study ( doi.org/10.1016/j.jbusres.20… ) 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.
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Analyzing the impact of user-generated content on B2B Firms' stock performance: #Bigdata analysis with #machinelearning methods. This study (doi.org/10.1016/j.indmarman.…) investigates whether UGC has differential impacts on stock performance for B2B and B2C firms.
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Applying the dual perspective of customer engagement, this research (doi.org/10.1016/j.jbusres.20…) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.
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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: doi.org/10.1016/j.jbusres.20…
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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: doi.org/10.1016/j.jbusres.20…
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The goal of this study (doi.org/10.1016/j.jbusres.20… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
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The findings in this paper have important implications for the design, delivery, and management of social media marketing for luxury brands to engage customers with social media content: #bigdata, #MachineLearning, #NLP and #ArtificialIntelligence . doi.org/10.1016/j.jbusres.20…
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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: doi.org/10.1016/j.jbusres.20…
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Some econometric models are very useful in #bigdata analytics. Read this insightful article by Hal Varian: people.ischool.berkeley.edu/…
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Stacey Shulman, @intel chief innovation officer for the retail solutions division joined #RetailGetsReal to discuss artificial intelligence, autonomous retail technology, and more macro trends that are driving the future of retail today. Listen here. nrf.com/blog/intels-innovati…
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#IoT-powered remote healthcare is transforming healthcare from reactive to proactive, with better health outcomes and accessibility for all. intel.ly/2NyLm0o
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#Smartretail is at a tipping point in terms of leveraging #AI and #IoT to automate everything from inventory to marketing. intel.ly/2rOdfYK
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JPMorgan Chase #tech program aims to boost the talent pipeline.

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What you need to know about #ArtificialIntelligence and how it can power businesses.

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