[AISWorld] JAIS 2015 Volume 16, Issue 01 (January) Contents

[JAIS]

Contents of Volume 16, Issue 01 (Januray) 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

Interrupting the Workplace: Examining Stressors in an Information Technology Context

Pamela S. Galluch, Roanoke College

Varun Grover, Clemson University

Jason Bennett Thatcher, Clemson University


Abstract

Contemporary information and communication technologies (ICTs) such as e-mail and instant messaging create frequent interruptions in the workday, which can potentially reduce business productivity and increase stress. However, we know little about how ICT-enabled interruptions cause stress and how individuals can use ICTs to cope with this stress. Using the transactional model of stress as the theoretical framework, we examines ICTs' influence on the stress process. We examine two demands that serve as stressors: quantity and content of ICT-enabled interruptions. These stressors influence perceptual stress, which then manifests into physical strain. To understand how to mitigate ICT-enabled stressors' influence, we examine three forms of control that potentially moderate demand's influence on the stress process: timing control, method control, and resource control. Timing control serves as a primary control, control that is present at the initial appraisal of an environment, while method control and resource control serve as coping behaviors, behaviors that individuals enact after they feel stressed. In order to rigorously assess the outcome variable, we used a non-invasive salivary technique to measure alpha-amylase, a hormone that is an objective indicator of strain. We used two laboratory experiments to test our model. In Experiment 1, we found that ICT-enabled demands served as stressors and led to perceptual stress and that ICT-enabled timing control negatively moderated the relationships between stressors and stress. In Experiment 2, we found that method control negatively moderated the relationship perceptual conflict had with strain, while increasing perceptual overload's relationship to strain. Resource control had the opposite finding: it negatively moderated perceptual overload's relationship with strain, while increasing perceptual conflict relationship with strain. The results provide insight into how ICTs create episodic stress and facilitate our ability to manage it. We conclude the paper with implications for research, methods, and practice.


To obtain a copy of the entire article, click on the link below:

http://aisel.aisnet.org/jais/vol16/iss1/2/



PAPER TWO

What Makes a Review Voted? An Empirical Investigation of Review Voting in Online Review Systems

Kevin K.Y. Kuan, The University of Sydney

Kai-Lung Hui, Hong Kong University of Science and Technology

Pattarawan Prasarnphanich, Sasin Graduate Institute of Business Administration of Chulalongkorn University

Hok-Yin Lai, Hong Kong Baptist University


ABSTRACT

Many online review systems adopt a voluntary voting mechanism to identify helpful reviews to support consumer purchase decisions. While several studies have looked at what makes an online review helpful (review helpfulness), little is known on what makes an online review receive votes (review voting). Drawing on information processing theories and the related literature, we investigated the effects of a select set of review characteristics, including review length and readability, review valence, review extremity, and reviewer credibility on two outcomes—review voting and review helpfulness. We examined and analyzed a large set of review data from Amazon with the sample selection model. Our results indicate that there are systematic differences between voted and non-voted reviews, suggesting that helpful reviews with certain characteristics are more likely to be observed and identified in an online review system than reviews without the characteristics. Furthermore, when review characteristics had opposite effects on the two outcomes (i.e. review voting and review helpfulness), ignoring the selection effects due to review voting would result in the effects on review helpfulness being over-estimated, which increases the risk of committing a type I error. Even when the effects on the two outcomes are in the same direction, ignoring the selection effects due to review voting would increase the risk of committing type II error that cannot be mitigated with a larger sample. We discuss the implications of the findings on research and practice.


To obtain a copy of the entire article, click on the link below:

http://aisel.aisnet.org/jais/vol16/iss1/1/
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