This proposal explores how the new generation of information technologies (IT) including AI, automation and data analytics, affect how firms innovate. In particular, we focus on the effect of innovation after a firm went through an IPO. …Read More
Allen Adamson, author of “Shift Ahead,” shares how to create a powerful brand to stay relevant to consumers whose attention is continually divided.…Read More
Sheila Talton, President & CEO of Gray Matter Analytics, explains how to address inefficiencies that drive up costs in the U.S. healthcare system.…Read More
Gaurav Dhillon, Chairman and CEO of SnapLogic, says that nailing product-market fit comes down to great listening skills and “a tolerance for pain.”…Read More
Bob Muglia, CEO of cloud data services firm Snowflake Computing, discusses why wise companies know better than to go it alone.…Read More
Robert Boland (WG’13) explains how J&J applies external and internal data to build lasting connections with patients.…Read More
In this project, we explore the impact of startup firms’ social media activities on their entrepreneurial financing performance. Social media can mitigate information problems in entrepreneurial financing in two ways.…Read More
This study focuses on how data analytics talent in firms can have an effect on firms’ return on their technology investment. Especially with the rise of social media, cloud computing, as well as many other technologies that can capture detailed digital trace about various human interactions, we hope to understand how some firms can capture the value of the data and gain competitive advantage while some could not.…Read More
More than ever before, companies have at their disposal immense streams of customer data. Professor Kartik Hosanagar highlights how companies can make use of this data to attract customers online.…Read More
Commerce – the activities related to the buying and selling of goods and services — relies on an effective exchange of personal data. In its simplest form, the seller solicits personal information from the buyer (what she likes, what she doesn’t, what she’s looking to spend) and the buyer responds with data that either helps or hurts the chances of transacting a deal. If the information swap is successful, a sale may result. And so the sharing of data greases the wheels of trade.…Read More
