[AISWorld] JAIS 2016 Volume 17, Issue 2 (February) Contents

[JAIS]

Contents of Volume 17, Issue 2 (February) 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
A Knowledge-centric Examination of Signaling and Screening Activities in the Negotiation for Information Systems Consulting Services
Greg Dawson, Arizona State University
Richard T. Watson, University of Georgia
Marie-Claude Boudreau, University of Georgia
Leyland F. Pitt, Simon Fraser University

Abstract
In many professional exchanges, information asymmetry is bilateral, which means that both parties hold information that the other party lacks and, as a result, both parties have the means to be opportunistic. To counter this asymmetry, both parties signal and screen information as they negotiate a consulting engagement. In this paper, we report on how a professional service provider and recipient typically use signaling and screening. The findings highlight that both parties signal and screen and withhold information and that the extent of project knowledge (tacit or explicit) affects how they do so. Tacit knowledge-centric projects have more signaling and screening events than explicit knowledge-centric projects but many of these signals actually increase the amount of information asymmetry.

To obtain a copy of the entire article, click on the link below:
http://aisel.aisnet.org/jais/vol17/iss2/2/



PAPER TWO
Entangled Stakeholder Roles and Perceptions in Health Information Systems: A Longitudinal Study of the U.K. NHS N3 Network
Pouloudi Nancy, Athens University of Economics & Business
Wendy Currie, Audencia Business School
Edgar A. Whitley, London School of Economics and Politics

Abstract
The combination of pervasive and complex technology and an increasingly challenging healthcare environment is the setting for this research study. As a longitudinal case study, the research tracked the development and implementation of a large private information systems network in the U.K. National Health Service (NHS). Using stakeholder theory, we unpacked the story of a complex network of stakeholder roles and perceptions and how they changed over time. Our findings suggest that favorable and unfavorable positions held by multiple stakeholder groups become entangled and that even the same focal group may adopt competing positions that undermine the adoption of the health network. As this situation develops, the policy and implementation of the broader health IT program becomes confused and destabilized. This study makes three contributions. First, it expands the literature on stakeholder theory in the IS domain. Second, it extends the managerial focus of stakeholder approaches to include policymaking in the diverse multi-stakeholder setting of healthcare. Third, it demonstrates how IS research can employ stakeholder analysis by adopting a broader, dynamic approach to identify different stakeholder groups and by focusing on their varied roles and views during the course of a large-scale health IT program.

To obtain a copy of the entire article, click on the link below:
http://aisel.aisnet.org/jais/vol17/iss2/1/



EDITORIAL
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
Ahmed Abbasi, University of Virginia
Suprateek Sarker, University of Virginia
Roger H. L. Chiang, University of Cincinnati

Abstract
Big data has received considerable attention from the information systems (IS) discipline over the past few years, with several recent commentaries, editorials, and special issue introductions on the topic appearing in leading IS outlets. These papers present varying perspectives on promising big data research topics and highlight some of the challenges that big data poses. In this editorial, we synthesize and contribute further to this discourse. We offer a first step toward an inclusive big data research agenda for IS by focusing on the interplay between big data's characteristics, the information value chain encompassing people-process-technology, and the three dominant IS research traditions (behavioral, design, and economics of IS). We view big data as a disruption to the value chain that has widespread impacts, which include but are not limited to changing the way academics conduct scholarly work. Importantly, we critically discuss the opportunities and challenges for behavioral, design science, and economics of IS research and the emerging implications for theory and methodology arising due to big data's disruptive effects.

To obtain a copy of the entire article, click on the link below:
http://aisel.aisnet.org/jais/vol17/iss2/3/