MCIS 2017 TRACK PROPOSAL

E-business and BusinessAnalytics

Short Description of the Proposed Track

Over the last few decades, e-business and e-commerce have become a key part of the new global economy and are transforming almost every aspect of business and social activities. With continuing advancing of digital technologies andthe emergence of novel business analytics techniques and big data,the opportunities to research the innovative aspects of e-business continue to expand. Some of the innovative aspects include user generated data on social media platforms, the Internet of Things (IoT), mobile services, social commerce, Financial Technology (FinTech), etc.For this track, we invite paper submissions of full research papers, research in progress papers, as well as teaching and cases studies are encouraged.Topics of interest include, but are not limited to:

  • Causal inferencein e-business
  • Data analytics in e-business
  • Digital advertising
  • Digital entrepreneurship in e-business and e-commerce
  • E-business, and e-government in emerging economies
  • Experimentationin e-business
  • FinTech (Financial Technology) in e-business
  • IoT(Internet of Things) and e-business
  • Information goods and digital market places
  • IT strategy and risks in managing e-business
  • Mobile commerce, mobile marketing and location-based services
  • New business models in e-business, mobile and service innovation
  • Recommended systemsin e-business
  • Social influence
  • Social media and social commerce
  • Social networksand virtual communities
  • Sustainable e-business practices and strategies
  • Word of mouth (WOM)

Track Co-Chairs

Name – Surname
(primary contact) / Panagiotis Adamopoulos
Title / Assistant Professor
E-mail /
Affiliation / University of Minnesota, Carlson School of Business
URL / – Surname
(primary contact) / Katerina Fraidaki
Title / eCommerce Coordinator
E-mail /
Affiliation / Athens University of Economics and Business, The E-Business Research Center- ELTRUN
URL / – Surname
(primary contact) / Vilma Todri
Title / Assistant Professor
E-mail /
Affiliation / Emory University, Goizueta Business School
URL / http://people.stern.nyu.edu/vtodri/

Please Provide Short bios of track Co-Chairs (no more than 150 words each):

Panagiotis (Panos) Adamopoulos is an assistant professor of Information and Decision Sciences at Carlson school of management of University of Minnesota. Panos’ research program studies how information systems and technological artifacts affect the user behavior and transform business and society. His research focuses on personalization, mobile and social commerce, and online education. Much of this research is grounded in big data employing data science and machine-learning techniques to leverage the abundance of unstructured data in social media, while combining these approaches with more conventional econometric and other quantitative methods as well as experimental research designs. Dr. Adamopoulos has worked in the past as a senior Business Intelligence Engineer and Consultant with Relational S.A. and in Toyota as an Information Technology Business Analyst.

Katerina Fraidaki (female) is senior researcher and the eCommerce Coordinator in ELTRUN- The e-businessLaboratory of Athens University of Economics and Business. She holds a PhD in the area of eCommerce (inAUEB), a Master in Analysis, Design and Management of Information Systems (in LSE) and a BSc in Marketingand Communication (in AUEB). Since 2011, she is Scientific Coordinator for the annual ecommerce and digitalmarketing studies and the evaluation of Greek e-shops in ELTRUN. Dr Fraidakis’ studies have been awarded innational and international conferences (2011 and 2013). She is member of board in Greek eCommerce Association(GRECA) and the conduct person between GRECA and eCommerce Europe Association.

Vilma Todri is an assistant professor of Information Systems & Operations Management at Goizueta Business School of Emory University. Todri's primary research focus is on online advertising and consumer behavior in technology-mediated environments. Her research interests lie in the intersection of quantitative modeling, experimental designs, and machine learning. Vilma’s research has been published in a number of leading journals and conferences including MIS Quarterly, KDD and ICIS. Prior to joining the faculty at Emory in 2016, Todri held positions at Google Inc. and co-founded a tech startup company that successfully raised funding. Vilma completed her Ph.D. in Information Systems at New York University in 2016.