[AISWorld] JAIS 2014 Volume 15, Issue 8 (August) Contents

[JAIS]

Contents of Volume 15, Issue 8 (August) Journal of the Association for Information Systems (JAIS) Official Publication of the Association for Information Systems

Published: Monthly Electronically
ISSN: 1536-9323
Published by the Association for Information Systems, Atlanta, USA http://aisel.aisnet.org/jais/
Editor-in-Chief:  Professor Suprateek Sarker, University of Virginia, USA

PAPER ONE
Effects of Emoticons on the Acceptance of Negative Feedback in Computer-Mediated Communication

Weiquan Wang, City University of Hong Kong 
Yi Zhao, City University of Hong Kong 
Lingyun Qiu, Peking University 
Yan Zhu, Tsinghua University 

Abstract
Delivering negative performance feedback is inevitable in the workplace. However, recipients may feel uncomfortable and behave defensively, and may be unwilling to accept negative feedback mainly because they fear losing face. Such unproductive responses are heightened when negative feedback is delivered through computer-mediated communication (CMC) channels in which many nonverbal cues in face-to-face communication cannot be used to alleviate the concerns of losing face. This study examines the effectiveness of emoticons, which are designed as surrogates for facial expressions in CMC environments, in conveying social and emotional signals of the feedback provider. Specifically, based on the feedback process model and the dissonance reduction theory, this study investigates the differing effects of two types of emoticons (i.e., liking and disliking ones) on the acceptance of negative feedback by considering feedback specificity as a contingent factor. Our results suggest that using liking emoticons increases perceived good intention of the feedback provider and decreases perceived feedback negativity when the feedback is specific; however, it has no significant effect for unspecific feedback. By contrast, our results suggest that using disliking emoticons decreases perceived good intention of the feedback provider and increases perceived feedback negativity when the feedback is unspecific, whereas such effects are not significant for specific feedback. In turn, both perceived good intention of the feedback provider and perceived feedback negativity affect acceptance of the negative feedback. 

To obtain a copy of the entire article, click on the link below: 
http://aisel.aisnet.org/jais/vol15/iss8/3/


PAPER TWO
Generating Effective Recommendations Using Viewing-Time Weighted Preferences for Attributes

Jeffrey Parsons, Memorial University of Newfoundland 
Paul Ralph, Lancaster University

ABSTRACT
Recommender systems are an increasingly important technology and researchers have recently argued for incorporating different kinds of data to improve recommendation quality. This paper presents a novel approach to generating recommendations and evaluates its effectiveness. First, we review evidence that item viewing time can reveal user preferences for items. Second, we model item preference as a weighted function of preferences for item attributes. We then propose a method for generating recommendations based on these two propositions. The results of a laboratory evaluation show that the proposed approach generated estimated item ratings consistent with explicit item ratings and assigned high ratings to products that reflect revealed preferences of users. We conclude by discussing implications and identifying areas for future research.

To obtain a copy of the entire article, click on the link below: 
http://aisel.aisnet.org/jais/vol15/iss8/2/


PAPER THREE
We are pleased to present in this issue an invited paper from Leo Award winner, Richard T. Watson:

A Personal Perspective on a Conceptual Foundation for Information Systems

Richard T. Watson, University of Georgia

ABSTRACT
In this paper, I propose a conceptual foundation for information systems based on three propositions:
     P1: Information systems improve an entity’s ability to attain its goals
     P2: Information systems improve the ability of entities to cooperate on shared goals
     P3: Information systems transform entities in intended and unintended ways.
I apply an evolutionary-historical analysis, a variation of historical analysis, to the emergence of humans’ major information processing capabilities to trace the development of information systems to establish the propositions. I identify some research questions directly arising from the three propositions and advance a case that these propositions are potentially a sufficient conceptual foundation for IS research.

To obtain a copy of the entire article, click on the link below: 
http://aisel.aisnet.org/jais/vol15/iss8/1/