Srikar Velichety

Assistant Professor at Fogelman College of Business & Economics, University of Memphis

Schools

  • Fogelman College of Business & Economics, University of Memphis

Links

Biography

Fogelman College of Business & Economics, University of Memphis

Srikar Velichety received his Ph.D. from the Eller College of Management, University of Arizona. His research interests are in business and big data analytics with a focus on developing and applying social network analysis, econometrics, and data mining methods in Online Communities and Social Media. His research demonstrates ways to tackle problems where there is very little social science or economic theory but a large diverse dataset is available. His research has been published in major information systems and interdisciplinary journals including JMIS, JAIS, IJIM, ACM SIGMISDB, and all major Information Systems and Computer Science conferences including ICIS, INFORMS, and WWW. One of his articles was nominated for the Best Conference Paper at the Workshop on Information Technology and Systems (WITS) in Milan, Italy. In addition, Dr. Velichety has generated over 75,000 USD in research grants from organizations like FedEx. His research was presented at organizations such as Walmart and International Paper.

During his time at the University of Arizona, Dr. Velichety developed and taught various undergraduate and graduate-level courses on operations management, information systems, and business and social media analytics. In 2022, he was a part of a large-scale federal grant that was awarded 21.5 million USD from the US Department of Commerce to train the workforce for Good Paying Jobs in the logistics and technology industry in the Memphis Metropolitan Region. In addition, he has taught executive courses in Cybersecurity Management.

Education

  • Doctor of Philosophy, Eller College of Management, University of Arizona
  • Master of Technology, Indian Institute of Information Technology and Management
  • Bachelor of Technology, Indian Institute of Information Technology and Management

Teaching Interests

Social Media, User-Generated Content, Social Networks and Recommender Systems

Research

Research Interests

social media analytics, business intelligence, data mining, marketing analytics

Selected Research

Velichety, Srikar and Ram, Sudha (2021) "Finding a Needle in the Haystack: Recommending Online Communities on Social Media Platforms Using Network and Design Science," Journal of the Association for Information Systems, 22(5), 1285-1310. (Journal of the Association for Information Systems: Most Popular Papers)

Velichety, Srikar and Shrivastava, Utkarsh (2022) “Impact of Online Fake News on the Equity value of Social Media Platforms – Evidence from Twitter”. International Journal of Information Management, 64, 102474.

Srikar Velichety, Sudha Ram and Jesse Bockstedt (2019) "Quality assessment of peer-produced content in knowledge repositories using development and coordination activities". Journal of Management Information Systems, 36, 2, 478-512.

Srikar Velichety (2019) "Quality Assessment of Peer-Produced Content in Knowledge Repositories Using Big Data and Social Networks: The Case of Implicit Collaboration in Wikipedia". The DATA BASE for Advances in Information Systems, 50, 4, 28-51.

Velichety, Srikar, Ram, Sudha and Bockstedt, Jesse "Understanding the role and impact of discussions on the quality of Crowd Sourced Content using Data Science Approach – Evidence from Wikipedia", INFORMS Annual Meeting, Philadelphia, PA, November 2015 (Invited presentation at the INFORMS workshop on Social Media).

Velichety, Srikar and Ram, Sudha, "A Cross Sectional and Temporal Analysis of Information Consumption on Twitter", proceedings of the 34th International Conference on Information Systems (ICIS). Milan, Italy. December 2013.

Velichety, Srikar and Ram, Sudha, "The Science of Twitter Lists: Understanding Membership and Subscription through Network Analysis", Workshop on Information Technology and Systems (WITS) 2013. Milan, Italy. December 2013. (Overall Best Paper Award Nominee).

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