Calls for Papers (special): International Journal of Information Systems in the Service Sector (IJISSS)


Special Issue On: Service Systems Analysis for Emerging Sectors

Submission Due Date
9/30/2020

Guest Editors
Ferhan Çebi, İstanbul Technical University, Turkey
Tankut Atan, Bahçeşehir University, Turkey

Introduction
Today, also with the help of recent technological developments, changes in customer demands and requirements occur more rapidly than before. As a result, how businesses offer and generate products, services, and ideas are changing drastically. New sectors based on the knowledge economy have been emerging to respond to these changes. Furthermore, globalization has pushed the service sector to play a larger role in the overall economy with many emerging businesses developing a global presence. To increase competitiveness in this new world, it is crucial to analyze and understand service systems with a different perspective. This special issue aims to explore a variety of applications related to emerging sectors within services systems.

Objective
Service sector economy is growing rapidly and undergoing dramatic changes to respond to modern customers’ needs and demands with many emerging sectors. The current business climate provides remarkable opportunities but also involves uncertainties and risks for future competitiveness of these emerging sectors. The objective of the special issue is to contribute to the literature by presenting various practical and theoretical applications related to emerging sectors within services systems.

Recommended Topics
• Emerging technologies in services
• Disruptive technologies in services
• Digital applications in services
• Data warehousing and mining in services
• E-business in service industries
• Decision-support systems
• Information technology in services
• Meta-heuristic approaches in service systems
• Logistics network configuration
• Matching supply with demand
• Decision making under fuzzy environment
• Health care systems

Submission Procedure
Researchers and practitioners are invited to submit papers for this special issue on Service Systems Analysis for Emerging Sectors on or before 30 September 2020. 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/publish/contributor-resources/before-you-write//. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Ferhan Çebi
Tankut Atan
Guest Editors
International Journal of Information Systems in the Service Sector (IJISSS)
E-mail:
cebife@itu.edu.tr
sabritankut.atan@eng.bau.edu.tr

Special Issue On: Enabling Technologies for Smart City: IOT, Big Data and Machine Learning

Submission Due Date
12/31/2020

Guest Editors
1. Prof. Srikanta Patnaik, Professor, Department of Computer Science and Engineering,
Faculty of Engineering and Technology, SOA University, Bhubaneswar, India
Email: patnaik_srikanta@yahoo.co.in

2. Prof. Tao Shen
School of Information Engineering and Automation
Kunming University of Science and Technology, China
Email: shentao@kmust.edu.cn

3. Prof. Xilong Qu
School of Information Technology and Management,
Hunan University of Finance and Economics, China
Email: quxilong@126.com

4. Bin Hu
Engineer/Manager
China Mobile Communications Corporation, Xiangtan Branch, China,
13973280302@139.com

Introduction
The world population is growing at an average rate of 1.3% every year and UN estimated that 80% of the world’s population shall be shifting to cities by 2050. In addition, the demand for energy, water, transport and other critical service shall increase, which these cities cannot provide with the present resources and infrastructure. To overcome from such problems, “Smart city” is being designed utilizing the various ICT tools and techniques such as IOT, Big data and Machine Learning.

Objective
IoT is making it possible to make cities greener, safer and more efficient. By connecting devices, vehicles and infrastructure everywhere in a city, government can reduce energy and water consumption, keep people moving efficiently, and improve safety and quality of life. There are some common challenges faced by all such as: scalability, privacy and security, ubiquitous access, lack of test beds.

Secondly, Big data is an all-encompassing term for any collection of data that is very large or complex and therefore difficult to analyze using conventional data processing applications. It refers to the ongoing accumulation of massive, often complex and always changing data sets i.e. machine generated data from sensors or smart phones or data from social media sites. Big data’s value is that it can be analyzed and processed to provide insights for better decision making. Big data can help cities to monitor and manage urban issues such as waste disposal, transportation and saving resources. To do that, the city needs to install sensors in the infrastructure, replacing outdated infrastructure when necessary.

Thirdly, it is important to efficiently manage of the aggregated smart data coming from the various verticals of smart cities such as Health, Traffic and Transport, Electricity, Water and Sewerage etc.. Secondly, access to the data across these domains essentially needs information to be transformed to machine intelligence platform and then machine learning can be used before it is being used by the smart applications and services. Smart city services and applications, which are the key components in achieving efficiency and accuracy of operation of this smart city ecosystem also needs smart data and processed information.

This special issue shall covers all the work related to IOT, Big data and machine learning related to the smart city applications.

Recommended Topics
. Internet of things
. Application of big data
. Smart city
. Decision Tree
. Linear discriminant and support vector machines
. Neural networks
. Bayesian methods
. Instance based learning
. Inductive logic programming
. Model selection and error estimation
. Unsupervised learning
. Computational and statistical learning theory

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Enabling Technologies for Smart City: IOT, Big Data and Machine Learning on or before 31st December, 2020. 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/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Prof. Srikanta Patnaik
Guest Editor
International Journal of Information Systems in the Service Sector (IJISSS)
E-mail: patnaik_srikanta@yahoo.co.in