The Internet-Driven Economy

The Internet-Driven Economy

Cluster :

 eBusiness

 

Session Information

 : Tuesday Oct 16, 13:30 - 15:00

 

Title: 

The Internet-Driven Economy

Chair: 

Raymond Sin,Assistant Professor, The University of Hong Kong, Pokfulam, Hong Kong, Hong Kong - PRC, rsin@ust.hk

Co-Chair: 

Shun Ye,University of Maryland, RH Smith School of Business, College Park MD, United States of America, sye@rhsmith.umd.edu

 

Abstract Details

 

Title: 

Strategic Distribution and IT Investment Decisions in the Face of Digitization: Managerial Guideline

 

Presenting Author: 

Nelson Granados,Pepperdine University, 15 Cedarlake, Irvine CA 92614, United States of America, Nelson.Granados@pepperdine.edu

 

Co-Author: 

John Mooney,Pepperdine University, 18111 Von Karman Ave, Irvine CA 92614, United States of America, john.mooney@pepperdine.edu

 

Abstract: 

The media, entertainment, and air travel industries are facing significant transformations due to the digitization of information and content. We use the empirical case study methodology to derive managerial guidelines for distribution strategy and related IT investments in the face of digitization. A tangible result of our work is a framework that enables firms to rationally decide whether to have a direct, joint-owned, or intermediated online distribution.

 

 

Title: 

Online Communities and Sustainability: An Empirical Investigation

 

Presenting Author: 

Dobin Yim,University of Maryland, 3300 Van Munching Hall, College Park MD, United States of America, dyim@rhsmith.umd.edu

 

Abstract: 

Fostering consumer-driven energy conservation efforts has sprouted “green” online communities. We examine how online social networks facilitate environmental sustainability through the visibility of sustainable behaviors and group-induced norm. We show that slower growing groups perform better in energy reduction, and the strength of ties and group characteristics that individuals belong to are important predictors of prosocial behaviors.

 

 

Title: 

Overt Management Participation: Responding to Negative Consumer Feedback in Online Review Forums

 

Presenting Author: 

T. Ravichandran,Professor, Lally School of Management & Technology, RPI, 110 Eighth Street, Troy NY 12180, United States of America, ravit@rpi.edu

 

Co-Author: 

Dongling Huang,Assistant Professor, Lally School of Management & Technology, RPI, 110 Eighth Street, Troy NY 12180, United States of America, huangd3@rpi.edu

 

 

Stacey Sharpe,Doctoral Student, Lally School of Management & Technology, RPI, 110 Eighth Street, Troy NY 12180, United States of America, sharps@rpi.edu

 

Abstract: 

In this paper we study the impact of managerial response strategies aimed at mitigating the potential implications of negative feedback generated by consumers in online review forums—focusing specifically on factors related to the source and content of the managerial response. Using data collected from TripAdvisor.com on over 67000 consumer hotel reviews and corresponding responses from hotel administrators across two cities over ten years, we test our research hypotheses.

 

 

Title: 

***NO SHOW***Social Media, Conventional Media, and Stock Market Performance: A Sentiment Analysis Approach

 

Presenting Author: 

Wenjing Duan,Assistant Professor, The George Washington University, 2201 G Street, NW, Washington DC 20052, United States of America, wduan@gwu.edu

 

Co-Author: 

Qing Cao,Jerry Rawls Professor in Management Information Systems, Texas Tech University, BA 615, Lubbock TX 79409, United States of America, qing.cao@ttu.edu

 

 

Yang Yu,Doctoral Student, Texas Tech University, BA 615, Lubbock TX 79409, United States of America, yang.yu@ttu.edu

 

Abstract: 

This study aims to investigate the effect of social media and conventional media, their relative importance, and their interrelatedness on firm stock market performances. We use a novel and large-scale dataset that features daily media content across various social media and conventional media outlets for 862 public traded firms. We apply the advanced sentiment analysis technique to analyze the overall sentiments of each media resource toward a specific company on the daily basis.