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IEEE & INFORMS: Dual-Journal Call For Papers

From: Patrick Hung <Patrick.Hung@uoit.ca>
Date: Wed, 10 Sep 2014 00:33:27 -0400
To: Patrick Hung <Patrick.Hung@uoit.ca>
Message-ID: <E12EE1E617C868489ECCB1C5DDC9549439067F7044@ITOMSCPP01.oncampus.local>
*** IEEE Transactions on Services Computing ***
*********** INFORMS Service Science ***********



In Search of a New Alignment in Service Research

An Unprecedented, Dual-Journal Call For Papers
================================================

It is high time for engineering and business scholars to join forces to advance service research. The editors of two of the top journals in the service area, one from IEEEfs services computing community and one from INFORMSf service science community, invite you to break out of your disciplinary comfort zone. Parallel special issues have been commissioned to intentionally challenge and disrupt the status quo. This dual special issue is intended to reconcile existing multi-pronged orientations and approaches to service research.

Trans-disciplinary service research will leapfrog the current landscape to improve services computing formalisms while concomitantly designing and delivering the highest quality business service systems that can profitably delight customers and clients. In many areas, modern research advances have benefited from multiple perspectives. Trans-disciplinary research means reaching out to scholars from other backgrounds. It means that vocabulary, research methods and historical foundations need to be shared, taught, challenged and reconciled. Itfs going to be hard work. It will take time. But itfs what is needed. This dual-journal call-for-papers is intended to catalyze trans-disciplinary and risk-taking research, and the review policies and procedures for both special issues will be tuned to this end.

What is missing has been a research agenda to reconcile business service systems and systems of systems ideals with services computingfs formal methods, standards, best practices and repeatable processes. New research is essential to address what has become an important inflection point: the business services and services computing research agendas need to be viewed from a common, global, societal lens. At stake is the continued viability of both research streams.

Some science and engineering scholars view business services research as a soft discipline, but there is significant respect for formal business process and workflow methods that can deliver model-driven development. Business researchers often view the engineering and computer science perspectives as remiss in addressing the essential and dynamic elements of customer co-production, B2B contracting and pricing, but there is significant respect for services computingfs role in distributing, cost-effective scaling and personalization of computing service capability. Both areas are in transition, given the increasing value of big data methods and associated possibilities. Yes, there will be dueling methodologies, ranging from empirical to execution benchmarks to proof, and there will be dueling problems, ranging from NP-Complete to novel business strategy frameworks. Potential authors will need to leave their comfort zones behind and work together across disciplinary lines.

Topics of interest include, but are not limited to:

- Big Data Analytics and Algorithms
- Service-Centric Business Models
- Service Modeling and Implementation
- Service Delivery, Deployment and Maintenance Service
- Value Chains, Value Co-creation, and Service Innovation
- Service-Oriented Architecture (SOA) Industry Standards and Solution Stacks
- Service-based Grid/Cloud/Autonomic Computing/Big Data
- Service-Level Agreements (SLAs) Negotiation, Automation and Orchestration
- Service Security, Privacy and Trust
- Quality of Services (QoS) and Cost of Services (CoS)
- Services Engineering Practices and Case Studies
- Trust and Loyalty in Service Business Models
- Cultural, Language, Social and Legal Obstacles in Service Business Models
- Case Studies in Service Business Models (e.g., healthcare, financial, aviation, etc.)
- Business Process Integration, Collaboration and Management
- Business Process Modeling Methodology and Integration Architecture
- Monitoring of Services, Process Mining, and Quality of Service
- Practices in Service Science and Big Data


Important Dates:

Deadline for paper submission:          March 1, 2015
First-round reviews (expected):         May 1, 2015
Revisions due:                          June 15, 2015
Second-round reviews (expected):        August 1, 2015
Final papers due:                       October 1, 2015
Expected publication:                   Late 2015 or early 2016


Submissions:

To submit to the dual-journal special issue, authors must first select which journal to target for their manuscripts. Each journal will follow its standard review and manuscript acceptance policies. The editors reserve the right to suggest reassignment of papers from one journal to the other, with author permission. If possible, please contact the editors with questions regarding appropriateness or fit prior to submission. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

For the IEEE Transactions on Services Computing (TSC), please submit your papers through the online system (https://mc.manuscriptcentral.com/tsc-cs) and select SI on New Alignment in Service Research. Paper formatting guidelines are available at the journal website (http://www.computer.org/tsc).

For the INFORMS Service Science, please submit your papers through the online system (http://mc.manuscriptcentral.com/serv) and select SI on New Alignment in Service Research. Paper formatting guidelines are available at the journal website (http://pubsonline.informs.org/page/serv/submission-guidelines).


Guest editors:

Michael Goul, Arizona State University, USA
Email: Michael.Goul@asu.edu

Patrick C. K. Hung, University of Ontario Institute of Technology, Canada and National Taipei University of Technology, Taiwan
Email: patrick.hung@uoit.ca

Paul P. Maglio, University of California, Merced, USA
Email:  pmaglio@ucmerced.edu


Associate Editors:

Wil van Der Aalst
Department of Mathematics & Computer Science
Eindhoven University of Technology
PO Box 513, 5600 MB
Eindhoven, The Netherlands

Steven Alter
University of San Francisco
School of Management
2130 Fulton Street
San Francisco, CA 94117

Rahul C. Basole
Georgia Institute of Technology
School of Interactive Computing and Tennenbaum Institute
85 Fifth Street N.W.
Atlanta, Georgia 30332

Elisa Bertino
Cyber Center
CERIAS and CS Department
Purdue University
305 N. University Street?
West Lafayette, IN 47907-2107

Mary Jo Bitner
Department of Marketing
W. P. Carey School of Business
Arizona State University
P.O. Box 874106?
Tempe, AZ 85287-4106

M. Brian Blake
Department of Computer Science
University of Miami
1252 Memorial Drive, Ungar Bldg.
Coral Gables, FL 33124

Athman Bouguettaya
RMIT University
School of Computer Science and Information Technology
GPO Box 2476, Melbourne 3001
Victoria, Australia

Ryan Buell
Harvard Business School
Technology and Operations Management
Morgan Hall 429
Soldiers Field Road
Boston, Massachusetts 02163

Peter Chen
Software Engineering Institute
4500 Fifth Ave.
Carnegie Mellon University
Pittsburgh, PA 15213

Ernesto Damiani
Via Bramante 65 I-26013 Crema
Universita degli Studi di Milano
Dipartimento di Informatica - Sede di Crema
Italia

Mark M. Davis
Management Department
Bentley University
175 Forest Street
Waltham, Massachusetts 02452

Andrea Delgado
Universidad de la Republica
Facultad de Ingenieria, Instituto de Computacion
Julio Herrera y Reissig 565
11300 Montevideo, Uruguay

Haluk Demirkan
University of Washington Tacoma
1900 Commerce Street
Tacoma, WA 98402-3100

Schahram Dustdar
Distributed Systems Group
Vienna University of Technology
Argentinierstrasse 8/184-1 A-1040
Wien, Austria

Elena Ferrari
Dipartimento di Scienze Teoriche e Applicate
Via Mazzini 5, 21100 Varese
University of Insubria
Varese, Italy

Joao Eduardo Ferreira
Universidade de Sao Paulo
Instituto de Matematica e Estatistica,
Departamento de Ciencia da Computacao
Rua do Matao
1010, Butanta
05508-900 - Sao Paulo, SP - Brasil

Hemant Jain
Sheldon B. Lubar School of Business
University of Wisconsin - Milwaukee
Milwaukee, Wisconsin 53201

He Keqing
State Key Laboratory of Software Engineering
School of Computer
Wuhan University
Wuhan, China

Furen Lin
Institute of Service Science
National Tsing-hua University
101, Section 2
Kuang-Fu Road
Hsinchu, Taiwan 30013, R.O.C.

Kelly Lyons
Faculty of Information
University of Toronto
140 St. George St. #612
Bissell Building
Toronto, Ontario, Canada M5S 3GS

A. Parasuraman
Department of Marketing
School of Business Administration
University of Miami
PO Box 248147
Coral Gables, FL 33124-6554

Munindar Singh
Box 8206
Department of Computer Science
North Carolina State University
Raleigh, NC 27695-8206, USA

Jim Spohrer
IBM Almaden Research Center
650 Harry Road
San Jose, CA 95120 USA

Christine Strauss
Faculty of Business Economics and Statistics
University of Vienna
Vienna, Austria

Eleni Stroulia
Department of Computing Science
221 Athabasca Hall
University of Alberta
Edmonton, AB, T6G 2E8, Canada

Tuure Tuunanen
Department of Computer Science and Information Systems
PO Box 35, (Agora, Ag D514.3) FI-40014
University of Jyvaskyla
Finland

Stephen L. Vargo
Department of Marketing
University of Hawaii at Manoa
2404 Maile Way
Honolulu, HI 96822

Stephen Yau
School of Computing, Informatics and Decision Systems Engineering
Ira A. Fulton Schools of Engineering
Arizona State University
PO Box 878809
Tempe, AZ 85287-8809

J. Leon Zhao
Department of Information Systems
City University of Hong Kong
Kowloon, Hong Kong SAR, China
Received on Wednesday, 10 September 2014 04:41:00 UTC

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