[AISWorld] Special Issue on Big Data, Service and Intelligence in IJSSOE

[Latif Al-Hakim]

Can you please keep personal communication between you

From: Yingxu Wang [mailto:yingxu at ucalgary.ca]
Sent: Thursday, 16 March 2017 7:26 AM
To: Zhaohao Sun <zhaohao.sun at gmail.com>; aisworld at lists.aisnet.org; IRMA ListServ <irma-l at irma-international.org>; bisc-group at cs.berkeley.edu
Cc: Dickson Chiu <dicksonchiu at ieee.org>; Hepu Deng <hepu.deng at rmit.edu.au>
Subject: Re: Special Issue on Big Data, Service and Intelligence in IJSSOE


Hi Zhaohao,



If you'd like, you are invited to organize a SI in IJCINI (EI and SI-emerging indexed) on big data.



Sincerely,



Yingxu

EIC, IJCINI/IJSSCI

________________________________
From: Zhaohao Sun <zhaohao.sun at gmail.com<mailto:zhaohao.sun at gmail.com>>
Sent: Monday, March 13, 2017 9:01:02 PM
To: aisworld at lists.aisnet.org<mailto:aisworld at lists.aisnet.org>; IRMA ListServ; bisc-group at cs.berkeley.edu<mailto:bisc-group at cs.berkeley.edu>
Cc: Dickson Chiu; Hepu Deng
Subject: CFP: Special Issue on Big Data, Service and Intelligence in IJSSOE

CALL FOR PAPERS

Special Issue on Big Data, Service and Intelligence- Methods, Techniques and Applications
in
International Journal of Systems and Service-Oriented Engineering

The International Journal of Systems and Service-Oriented Engineering (IJSSOE) (ISSN 1947-3052; eISSN 1947-3060) is an official publication of the Information Resources Management Association (www.igi-global.com/ijssoe<http://www.igi-global.com/ijssoe>). IJSSOE is indexed or listed in the following: ACM Digital Library; Bacon's Media Directory; Cabell's Directories; DBLP; Google Scholar; INSPEC; JournalTOCs; MediaFinder; The Standard Periodical Directory; Ulrich's Periodicals Directory.

The objective of this Special Issue in International Journal of Systems and Service-Oriented Engineering is to present the state of the art research and practical experiences on Big Data, Service and Intelligence from an interdisciplinary viewpoint. The disciplines include computing, business, management, applied mathematics, optimization, ICT, intelligent systems, decision science and economics and beyond.

Topics of interest include, but are not limited to, the following:

2.1 Fundamentals of Big Data, Service and Intelligence

Fundamental concepts, models, architectures, frameworks or theories for planning, designing, building, operating or evaluating, managing big data driven services and big data driven smart services (big services, for short) or big data driven intelligent services and big data service intelligence (big intelligence, for short) are related to
* Big data computing
* Big data analytics  as a service
* Big data science and foundations
* New computational models for big services
* Mathematical theory of big services
* ICT fundamentals for big services
* Visualization of data, information, knowledge and wisdom
* Decision science for big services
* Statistical modelling for big services
* Optimization techniques for big services
* Research methodology for big services
* Data mining for big services
* Business models for big services
* Statistical thinking and computing thinking for big data, service and intelligence
* Fundamentals of big data, intelligence, and wisdom
* Intelligence computing for big services
where intelligence computing includes agent based technologies, computational intelligence, soft computing, data warehouse, data mining and web mining, genetic algorithms and evolutionary computing, knowledge technology, knowledge systems.

2.2 Big Data Driven Approach to Big Services
* Fuzzy logic approach to big services
* Machine learning for intelligent big services
* Intelligent agents for big services
* AI approach to big services
* Optimization for intelligent big services
* Big data infrastructure as a big service
* Cloud services as a big service (CSaaS)
* Mobile services as a big service (MSaaS)
* Big data analytics as a service (BaaS)
* Social networking as a big service
* Business strategy service
* Decision analysis service
* Entrepreneurship and innovation service
* Information systems service
* Marketing service
* Strategic management service
* Services management service
* Health service management service
* Organisational decision Making
* Managerial decision making
* Service economy and policy
* Visualization techniques for big data driven services
* Service computing
where service computing includes service science, service technology, service systems, service engineering, and service Management.

2.3 Big Data Driven Approach to Big Intelligence
Big intelligence includes
* Business intelligence
* Organisational intelligence
* Marketing intelligence
* Mobile intelligence
* Cloud intelligence
* Social networking intelligence
* Networking intelligence
* Web intelligence
* Enterprise Intelligence
* Analytics intelligence

2.4 Applications of Big Data, Service and Intelligence
* Big data, service and intelligence for developing Industry 4.0
* Big data analytics based services innovation
* Big data, service in business ecosystems
* Big data analytics and data markets
* Big data, service, and intelligence for e-commerce
* Big data, service, and intelligence in business decision making
* Big data, service, and intelligence in healthcare
* Big data, service, and intelligence in banking industry
* Big data, service, and intelligence in social networks
* Big data, service, and intelligence Search and Mining
* Big data, service, and intelligence for management
* Big data, service, and intelligence for risk management
Cases and applications for using theories, technologies and approaches to big data, service and intelligence in the main service domains such as: social networking services, cloud services, financial services, legal services, healthcare services, logistics services, educational services, and military services taking into account demand from government, organization, enterprise, community, individual, customer and citizen are encouraged.

2.5 Emerging Technologies and Methods for Big Data, Service and Intelligence
* The Internet of things
* The Internet of services
* Service 4.0, Intelligence 4.0 in Industry 4.0
* Intelligent service computing
* Data intelligence computing

Notes for Intending Authors

We are seeking original, genuine, innovative, scientifically rigorous research papers on Methods, Techniques and Applications of Big Data, Service and Intelligence. Empirical research, case studies or theory based qualitative and quantitative studies on Big Data, Service and Intelligence are also welcome.

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

Submitted manuscripts should be structured as technical papers and may not exceed 8000 words. All submissions will be blindly reviewed by at least two reviewers based on correctness, originality, technical strength, significance, quality of the manuscript. Submissions should be directed by email to the editors of this special issue at zhaohao.sun at gmail.com<mailto:zhaohao.sun at gmail.com> and dickson.shiou at gmail.com<mailto:dickson.shiou at gmail.com>. The tentative title and abstract consisting of less than 150 words should be submitted to the editors at one's earliest convenience for constructive suggestion.

Important dates

* Full paper submission: June 30, 2017
* Notification of acceptance: July 30, 2017
* Revised submission: August 30, 2017
* Final acceptance notification: September 30, 2017
* Camera ready version of paper: October 30, 2017
* Publication: December, 2017

Guest Editors

Prof. Dr Zhaohao Sun, Ph.D.
PNG University of Technology, Lae, PNG
&
Federation University Australia, Ballarat, AUSTRALIA
Email:  zhaohao.sun at gmail.com<mailto:zhaohao.sun at gmail.com>; zsun at dbs.unitech.ac.pg<mailto:zsun at dbs.unitech.ac.pg>

Dr Dickson Chiu, PhD
University of Hong Kong, Hong Kong

e-mail: dickson.shiou at gmail.com<mailto:dickson.shiou at gmail.com>; dicksonchiu at ieee.org<mailto:dicksonchiu at ieee.org>


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