[AISWorld] Call for Papers for Journal of Manageent Analytics (JMA): Special Issue on 'Embracing the Internet of Things (IoT) to Drive Data-Driven Decisions'

[Chee-Wee Tan]

Journal of Management Analytics (JMA)
Special Issue on 'Embracing the Internet of Things (IoT) to Drive Data-Driven Decisions'
CFP: http://explore.tandfonline.com/cfp/est/jma-cfp 

<MOTIVATION>

The Internet of Things (IoT), an emerging phenomenon characterized by an expanding network of interconnected sensors and actuators to facilitate data collection and exchange, has received enormous attention from both academics and practitioners. McKinsey (2015) estimated that IoT could potentially generate annual economic benefits in the range of USD $3.9 trillion to USD $11.1 trillion by 2025. By blurring the boundaries between people, process, data and devices, IoT has rendered networked connections more relevant and valuable than ever before. Specifically, massive datasets generated by distributed sensors and devices point to a growing urgency in developing data analytical tools and techniques to augment the decision making process in order to realize business innovations in the likes of location-based services and customized production.

This special issue aims to not only develop novel tools for big data analysis,  but to also identify fitting solutions to tackle managerial challenges confronting the IoT industry, especially in the related area of big data analysis.

This special issue will show case exemplary business practices associated with IoT that demonstrate the pivotal role played by IoT in enhancing service levels and improving operational efficiency. We also invite scholars and practitioners to explore ways of creating and capturing value from IoT (e.g., new business models and improved operational performance) and analyze the implications of IoT on market competitiveness and innovation.

This special issue embraces both retrospective and progressive views of how business practices have evolved or would transform in the face of IoT. It is open to all methodological approaches. The journal welcomes papers that identifies and addresses knowledge gaps in:

(1) challenges and opportunities pertinent to harnessing IoT for market competitiveness and innovation;

(2) emerging business models anchored on distinct modes of value creation and capturing made possible through IoT;

(3) issues pertaining to the management of big data for decision making within IoT environments, and

(4) inter-disciplinary perspectives to structuring IoT initiatives.

A list of potential topics for the special issue is given below to stimulate ideas for submissions.

<SUBMISSION GUIDELINES>

A list of potential topics for the special issue is provided below to stimulate ideas for submissions.

Topics to be discussed in this special issue include but are not limited to:

(a) Distributed data collection and analysis (e.g., context-aware mobile devices and sensor-based wearable technologies)
(b) Generation, dissemination and utilization of big data within IoT environments
(c) Real-time decision making within IoT environments
(d) IoT-based intelligent manufacturing and maintenance systems
(e) Business innovations originating from IoT and big data in service fields such as healthcare, finance, entertainment, and smart home
(f) Security and privacy concerns with big data management within IoT environments

All submitted papers must be clearly written in English and contain only original work, which has not been published by or is currently under review for any other journal.

<IMPORTANT DATES>

Paper Submission: May 1, 2016
First Round Notification: June 15, 2016
Invited Paper Workshop (preliminarily scheduled to be at UK or Australia): August 2016
Acceptance Notification: September 15, 2016
Final Papers: December 1, 2016

<FINANCIAL SUPPORT>

Partial funding for the presenting author to attend the workshop will be provided for papers selected after the first round review.

<GUEST EDITORS>

Bin Gu
Department of Information Systems
W. P. Carey School of Business
Arizona State University
Email: Bin.Gu at asu.edu
Website: https://apps.wpcarey.asu.edu/directory/people/profile.cfm?person=2246772 

Wei Jiang
Department of Operations Management
Antai College of Economics and Management
Shanghai Jiao Tong University
Email: jiangwei at sjtu.edu.cn 
Website: http://www.acem.sjtu.edu.cn/en/faculty/jiangwei.html 

Chee-Wee Tan
Department of IT Management
Copenhagen Business School
Frederiksberg, Copenhagen, Denmark
Email: cta.itm at cbs.dk 
Website: http://www.cbs.dk/en/staff/ctaitm 

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Best Regards,
Chee-Wee, Tan (陈致玮)

Associate Professor
Department of IT Management | Copenhagen Business School
Howitzvej 60, 5.18 | DK - 2000 Frederiksberg | Denmark
T +45 3815-4423 (Secretary) | E cta.itm at cbs.dk 
W www.cbs.dk/en/staff/ctaitm