Calls for Papers (special): Journal of Organizational and End User Computing (JOEUC)


Special Issue On: AI-powered E-Commerce Management and Optimization

Submission Due Date
9/30/2020

Guest Editors
Chia-Huei Wu, Minghsin University of Science and Technology, Taiwan
Lianyong Qi, Qufu Normal University, China
Yuan Yuan, Michigan State University, USA
Kaijian Xia, Changshu Affiliated Hospital of Soochow University, China

Introduction
In the past decades, E-Commerce has played an increasingly important role in people’s daily activities including work, entertainment and life. Benefiting from the economic and convenient advantages of E-Commerce, people can easily browse, buy and comment on their interested products or services through various online shopping platforms such as Amazon and Taobao. On one hand, E-Commerce helps users to save shopping costs and improve shopping experience; on the other hand, it has also been generating an unprecedented volume of online browse/order/comment data which create a main source of big data. How to manage and make full use of the big E-Commerce data in an efficient, economical and privacy-preserving manner is still a fundamental challenge.

Recently, machine learning powered Artificial Intelligence (AI) has emerged as one of the key technologies to realize intelligent data management and business optimization. Therefore, AI has provided a promising way to bridge the main roles of E-Commerce including producers, vendors, consumers and online shopping platforms, as well as their surrounding businesses (e.g., packaging and shipping). However, the adaptation of AI-based methods is highly demanded to achieve their full potentials in the management and optimization of E-Commerce. How to utilize AI technology to minimize the gap between low E-Commerce service quality and high user experience expectation is still an open problem that needs intensive study.

Objective
In this special issue, we look for significant theories, experience and algorithms in tackling new issues that challenge AI-powered E-Commerce Management and Optimization

Recommended Topics
• Intelligent supply chain management in E-Commerce
• AI-based recommender algorithms in E-Commerce
• Smart data collection, processing and integration in E-Commerce
• Cross-platform collaborative decisions in E-Commerce
• Intelligent big data management in E-Commerce
• Security, privacy and trust in E-Commerce
• AI-powered user profile building in E-Commerce
• People-cyber-physical interactions in E-Commerce
• Automatic packaging and intelligent shipping in E-Commerce
• E-Commerce business process optimization based on AI
• Economic, laws and principles for E-Commerce

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on AI-powered E-Commerce Management and Optimization 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:
Chia-Huei Wu
Guest Editor
Journal of Organizational and End User Computing
E-mail: chiahuei530@gmail.com

Special Issue On: E-Health and M-Health Management

Submission Due Date
12/31/2020

Guest Editors
Wen-Lung Shiau,
Zhejiang University of Technology, China

Yujing Xu,
Zhejiang University of Technology, China

Haijing Hao,
Bentley University, US

Joanna Paliszkiewicz,
Warsaw University of Life Sciences, Poland

Introduction
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 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
• 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)

Submission Procedure
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.

All inquiries should be directed to the attention of:
Yujing Xu
Guest Editor
Journal of Organizational and End User Computing
E-mail: xyujing@zjut.edu.cn