[AISWorld] SPECIAL ISSUE ON Big Data Analytics and Business Process Innovation of the Business Process Management Journal
Samuel FOSSO WAMBA
Samuel.FOSSO.WAMBA at neoma-bs.fr
Sun Sep 20 15:19:18 EDT 2015
******************** CALL FOR PAPERS *********************
SUBMISSION DUE DATE: November 30, 2015
Reviewer first reports: March 15, 2016
Revised paper submission: June 15, 2016
Reviewer second reports: October 15, 2016
Final manuscript submissions to publisher: November 15, 2016
SPECIAL ISSUE ON Big Data Analytics and Business Process Innovation
Business Process Management Journal
Dr Samuel Fosso Wamba
Associate Professor, NEOMA Business School, France
Invited Professor, UNISA, South Africa
Big data analytics (BBA) or the"collection of data and technology that accesses, integrates, and reports all available data by filtering, correlating, and reporting insights not attainable with past data technologies" (APICS 2012), is emerging as the "next big thing" in management. Some scholars have gone so far as suggesting that BBA is the "next management revolution"(McAfee and Brynjolfsson 2012), and thus generating huge attention from both practitioners and academics. Some analysts estimate that BBA-enabled process improvement may lead to about 26% average performance improvement over a three years period (Capgemini 2012). However, very few empirical studies have been conducted to assess the real business value of BBA at the firm and supply chain levels.
The main objective of this workshop to invite scholars and practitioners to look at the ways and means to identify and capture business value from BDA in terms of innovative business models, improved decisions making, improved intra-and inter-organizational performance, and competitive advantage.
The topics to be discussed in this special issue include but are not limited to the following:
* Big data analytics enabled-business process innovation at the firm and supply chain levels
* Assessment of the effect of big data analytics on the decision-making processes in operations
* Assessment of facilitators and inhibitors of big data analytics adoption for supply chain management processes
* In-depth & longitudinal case studies and pilot studies on the implementation of IT infrastructure to support big data initiatives for improved operations management, lean & agile operations, quality management in operations and supply chain management
* Facilitation of innovative electronic business models and operations by using big data analytics in various sectors (e.g., healthcare, retail industry, and manufacturing)
* Enabling smart cities, smart organizations and smart homes using big data analytics
* New theory development to explain the adoption and use of big data in operations at the organizational and inter-organizational levels
* Challenges related to big data analytics-enabled end-to-end supply chain transformation
Prospective authors are invited to submit papers for this special thematic issue on "Big Data Analytics and Business Process Innovation" on or before November 30, 2015. 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.emeraldgrouppublishing.com/products/journals/author_guidelines.htm?id=bpmj PRIOR TO SUBMISSION at: https://mc.manuscriptcentral.com/bpmj .
About Business Process Management Journal
Business processes are a fundamental building block of organizational success. Even though effectively managing business process is a key activity for business prosperity, there remain considerable gaps in understanding how to drive efficiency through a process approach. Building a clear and deep understanding of the range process, how they function, and how to manage them is the major challenge facing modern business.
Business Process Management Journal (BPMJ) examines how a variety of business processes intrinsic to organizational efficiency and effectiveness are integrated and managed for competitive success. BPMJ builds a deep appreciation of how to manage business processes effectively by disseminating best practice. Coverage includes:
* BPM in eBusiness, eCommerce and eGovernment
* Web-based enterprise application integration
* eBPM, ERP, CRM, ASP & SCM
* Knowledge management and learning organization
* Methodologies, techniques and tools of business process modeling, analysis and design
* Techniques of moving from one-shot business process re-engineering to continuous improvement
* Best practices in BPM
* Performance management
* Tools and techniques of change management
* BPM case studies
Editor-in-Chief: Professor Majed Al-Mashari
King Saud University, Dept of Information Systems, College of Comp & Info Sci, PO Box 51178, Riyadh 11543, Saudi Arabia
All inquiries should be directed to the attention of:
Samuel Fosso Wamba
E-mail: samuel.fosso.wamba at neoma-bs.fr<mailto:samuel.fosso.wamba at neoma-bs.fr>
All manuscript submissions to the special issue should be sent through the online submission system: https://mc.manuscriptcentral.com/bpmj
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APICS (2012). APICS 2012 Big Data Insights and Innovations Executive Summary.
Capgemini (2012). Unlocking the Power of Data and Analytics: Transforming Insight into Income. B. P. Analytics, Capgemini.
McAfee, A. and E. Brynjolfsson (2012). "Big Data: The Management Revolution." Harvard Business Review 90(10): 60-68.
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