-------- Forwarded Message -------- Subject: [AISWorld] JOEUC Special Issue CFP: E-health and M-health Management Date: Thu, 8 Oct 2020 23:29:17 +0800 From: YJ Xu xyjsgdhr@gmail.com To: aisworld@lists.aisnet.org
ACCESS THE FULL CFP AT: https://www.igi-global.com/calls-for-papers-special/journal-organizational-e...
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Journal of Organizational and End User Computing (JOEUC) , Special Issue Call for Participation:
*E-health and M-health Management *
DEADLINE: December 31st, 2020
GUEST EDITORS
Wen-Lung Shiau, School of Management, Zhejiang University of Technology, China, macshiau@zjut.edu.cn
Yujing Xu, School of Management, Zhejiang University of Technology, China, xyujing@zjut.edu.cn
Haijing Hao, Computer Information Systems, Bentley University, US, hhao@bentley.edu
Joanna Paliszkiewicz, Life Sciences, Warsaw University, Poland, joanna@paliszkiewicz.pl
CALL FOR PARTICIPATION
Recently, machine learning, internet of thing (IoT), artificial intelligence (AI) has emerged as one of the key technologies to realize e-health and m-health management in organizations (Agarwal et al., 2010; Fichman et al. 2011; Haddad et al. 2019). Remarkably, the successful utilization of mobile and ubiquitous computing technologies provides acceptable, sustainable, and inexpensive ways for organizations to collect, store, monitor, and process health-related data (WHO 2019). At the same time, software and services such as online platform, mobile, and smartwatch apps, and VR/AR emerged in this context allow organizations and users to exploit and explore these masses of data and offer them immersive interactions (Liu et al. 2019; Steinhubl 2013).
There is some early evidence shows that e-health and m-health, in isolation and in combination, benefit organizations and users in an increasing variety of aspects such as care provision, chronic disease management, patient empowerment, information sharing across organizational boundaries (e.g., Free et al. 2013; Huang et al. 2019). For instance, e-health and m-health services powered with AI technologies have achieved primary effects in combatting the emerging COVID-19 coronavirus (Time 2020). However, the increase in e-health and m-health comes with increased uncertainties and risks. How to make full use of e-health and m-health in an efficient, economical, and privacy-preserving manner is still a fundamental challenge for both academics and businesses. Therefore, we need more advance methodological, empirical, theoretical, and conceptual understanding for e-health and m-health management (Chen et al. 2019; Liu et al. 2019; Gefen et al. 2011; Hair et al. 2019; Shiau et al. 2019; Khan et al. 2019; Shiau and Chau, 2016).
OBJECTIVE
The purpose of this special issue is to present ideas, innovations, and applications of utilizing e-health and m-health technologies for improving the efficiency, sustainability, and reliability of healthcare, and shed light on how the value from e-health and m-health technologies can be captured and amplified. We welcome submissions of original manuscripts that advance methodological, empirical, theoretical, and conceptual understanding of the opportunities and challenges related to the role of e-health and m-health and how it can lead to value creation in areas such as patient empowerment, elderly and chronic disease management, and epidemics management. Manuscripts must have strong implications for theory and practice.
RECOMMENDED TOPICS
Potential topics include, but are not limited to:
• Adoption, diffusion, and use of e-health and m-health
• Organizational, clinical, and financial implications of e-health and m-health
• E-health and m-health and their impacts on lifestyle, diets, and exercise habits
• E-health and m-health and patient empowerment
• E-health and m-health and epidemics management (e.g., COVID-19, Ebola)
• Elderly healthcare and chronic disease management
• User-generated content and its impact on healthcare practices and providers
• Safety, security, and privacy of e-health and m-health
• Mobile technology and patient-centered healthcare management
• Applications of big data, IoT, and AI in healthcare (e.g., to combat the emerging COVID-19 coronavirus)
ADVISORY EDITORIAL BOARD
Rajiv Kohli, College of William & Mary
Meiyun Zuo, Renmin University of China
Xitong Guo, Harbin Institute of Technology
Zhaohua Deng, Huazhong University of Science and Technology
Shao-Jen Weng, Tunghai University
SUBMISSION PROCESS
Researchers and practitioners are invited to submit papers for this special theme issue on *E-Health and M-Health Management* on or before *December 31st, 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.
IMPORTANT DATE
• Submission Due Date: December 31st, 2020
• First Round Reviews: February 28th, 2021
• Revision Due: April 15th, 2021
• Second Round Reviews: May 15th, 2021
• Revisions Due: June 30th, 2021
• Final Editorial Decision: July 30th, 2021
All inquiries should be directed to the attention of:
*Dr. Yujing Xu*
Guest Editor
Journal of Organizational and End User Computing
E-mail: xyjsgdhr@gmail.com; xyujing@zjut.edu.cn _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org