The topic Big Data has attracted research interest in the information systems literature. What is Big Data? How is Big Data different from other data? What ways Big Data is used for business innovation?

Question #1

The topic Big Data has attracted research interest in the information systems literature. What is Big Data? How is Big Data different from other data? What ways Big Data is used for business innovation? How is Big Data related to Business Intelligence?  State some interesting and important research questions about either Big Data or Business Intelligence or both.

Question #2

Below is a list of research streams in Big Data. Please select two research streams you find interesting and find at least two peer reviewed articles on each stream from any journal (preferably IS or Computer Science or any Business Administration discipline related journal i.e. Marketing, Management, etc.). Describe the findings of each study. More precisely, (a) how do the predictor variables influence the predicted variables? (b) What is the practical contribution(s) of each research? (c) How could future research extend the theory put forward in each of the research you have included in your answer?

You can use portals like Google Scholar, Web of Science, JSU Library Search, etc. to find articles on peer reviewed journals. Please include a Reference section at the end of your answer section. Use API guidelines to create the reference for each of your sources.

 

Big data and machine learning in business decision-making and performance evaluation

 

Big data in marketing, promotions, and social networking

 

Big data and information security behavior

 

Big data in supply chain management

 

Big data and predictive algorithms in business, marketing, finance, and accounting

 

Big data and business ethics

 

Big data and investment decisions

 

Big data and online shopping

 

Big data and customer engagement

 

Big data, machine-to-machine (M2M) analytics to improve product life-cycle management

 

Big data and credit analysis

 

Big data and insurance

 

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