[AISWorld] IRMJ - Special Issue On: Service Science - Lean Outsourcing Analytics

[Noel.Carroll]

Information Resources Management Journal (IRMJ)

Special Issue On: Service Science - Lean Outsourcing Analytics

Submission Due Date
2/1/2014

Guest Editors
Dr. Noel Carroll

Introduction
In response to the growing importance placed on understanding service complexities, the field of ‘Service Science’ has emerged to guide the effective design, implementation, and management of service systems. However, although Service Science calls for more theoretical focus on understanding complex service systems, few efforts have surfaced which apply a new theoretical lens on understanding the underlying trajectories of organizational capability dynamics within a service system. Lean outsourcing has become a very important topic across modern management which focuses on exchanging service capabilities between parties. It is largely concerned with the contracting out of an internal business operation or process to a third party organization. However, managers are often faced with decisions on sourcing new service capabilities which offers higher value and efficiencies than staffing it internally. Therefore, it is crucial that managers have some analytical insights on how newfound capabilities impact on organizational performance.

Objective
The main objective of this Special Issue is to advance our understanding on Service Science through the exploration of different models, methods, processes, and principles in modeling lean outsourcing practices. This special issue places emphasis on building analytics in lean outsourcing environments. Across service networks, there is a growing need to examine the relationship between dynamic capabilities and organizational performance with emphasis on understanding the value co-creation process between trading parties. Submissions are particularly welcome from authors who focus on modeling and data mining techniques to explore and report on lean outsourcing analytics across service networks. We invite contributions for academic research, case studies and work-in-progress. We also invite high quality literature reviews and validated theoretical works.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
•	Behavioral sciences
•	Big data applications
•	Big data management
•	Big data mining and analytics
•	Big data theory
•	Cloud computing capabilities
•	Data mining literature review
•	Decision sciences
•	Decision theory and data analysis
•	Lean outsourcing
•	Network analysis methods
•	Network relationship management
•	Outsource forecasting
•	Outsourcing prediction and analytics
•	Service intelligence
•	Service network analytics
•	Service network visualization
•	Service science
•	Simulation of service network analytics
•	Six sigma
•	Socio-technical analytics
•	Value co-creation
•	Volume, velocity and variety of service data


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Service Science: Lean Outsourcing Analytics on or before February 1, 2014. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:

All inquires should be should be directed to the attention of:

Dr. Noel Carroll 
Guest Editor 
E-mail: noel.carroll at ul.ie
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