AMCIS 2017 Best Papers Awarded
Thursday, September 7, 2017
Posted by: Brook Pritchett
AMCIS 2017, held in Boston from August 10-12, featured more than 900 submissions including completed papers, ERFs, TREOs, PDSs and Panels. From those submissions, three were recognized for outstanding work as Best Papers.
“We received a high number of exceptional submissions and narrowing down the winners was quite the task. The work from the authors stood out to the reviewers, as well as our best paper review team,” said Eleanor Loiacono, AMCIS Program Committee co-chair.
Eric Bachura, Rohit Valecha, and Raghav Rao of the University of Texas at San Antonion, along with co-author Rui Chen of Iowa State University were awarded Best Paper for their article "Modeling Public Response to Data Breaches”.
This paper describes a theoretical approach to modeling public emotional response cycles to crisis events. The authors provided a preliminary theoretical approach to modeling crisis communication propagation that is counter intuitive to existing belief and literature regarding emotionally charged language and discussion artifact dispersion. The data set used to test these theories is contextualized by the OPM data breach of 2015 and consists of Twitter data corresponding to the ensuing discussion following public notification that the breach had occurred. The resulting analysis reveals that an adapted Kübler-Ross model fits the aggregated public emotional response cycle and that emotionally charged language is negatively associated with messages the disperse more than average.
Srikanth Parameswaran and Rajiv Kishore of the University of Buffalo were awarded Best Paper First Runner Up for their article "A Social Presence Model of Task Performance: A Meta-Analytic Structural Equation Model”.
Using the Elaboration Likelihood Model, the authors built a social presence model of task performance and hypothesized that social presence impacts task performance through two routes – central and peripheral. Using a meta- analytic sample of 80 studies, the authors tested the model with the multivariate meta-analytic structural equation modeling methodology to find support for all hypotheses. Research showed that in the central route, social presence positively impacts task performance through its positive effect on flow. In the peripheral route, social presence positively impacts trust, which in turn negatively impacts task effort.
Ana Castillo, Jose Benitez, Javier Llorens, and Jessica Braojos of the University of Granada were awarded Best Paper Second Runner Up for their article "Introducing Analytics Talent in the Equation on Business Value of Social Media Capability: An Empirical Investigation”.
This paper examines the impact of social media capability on innovation performance through knowledge ambidexterity, and the potential moderator role of business analytics talent on this equation. The results of the empirical analysis suggest that social media capability enables firms to effectively balance exploration and exploitation of knowledge (i.e., knowledge ambidexterity), which in turn facilitates innovation performance. Business analytics talent plays a moderator role on these relationships.