TRACK

TRACK

TRACK 15

Smart Services and Internet of Things
Internet of Things (IoT), which refers to “the networked interconnection of everyday objects, which are often equipped with ubiquitous intelligence”, is now being implemented to many consumer products or services and applied to many different industries. Things that are previously not much to do with Internet connectivity are now connected to the Internet and provide ‘smart services’ to consumers of many industries.

 

This track on ‘Smart Services and Internet of Things’ focuses on the topics related to the applications of IoT to consumer products and services, which have become ‘smarter’ thanks to IoT. There are many applications of IoT that enable smart services. For example, with wearable technologies, wristwatches have become smarter (i.e., smartwatches) and have enhanced consumers’ lives in various ways (e.g., fitness tracking, health monitoring, scheduling, communications support, etc.). Smart speakers (e.g., Google Home and Amazon Echo) have improved consumers’ experience in searching information, managing time, online shopping, etc. Smart home technologies have helped us save energy consumption and have provided more comfort in everyday lives. There are many other applications of IoT and smart services applied in diverse industries, such as healthcare, agribusiness (e.g., IoT connected smart farms, vineyards, and fish-farms), tourism, and transportation, to name a few. Moreover, even many municipal and federal governments are adopting IoT to improve their citizens’ lives better and smarter (e.g., the city of Chicago). Smart services and IoT, however, present both opportunities and threats related to IT security. As more things (e.g., devices, sensors, homes, etc.) are connected to the Internet, more aspects of our lives become embedded in smart services enabled by IoT. Therefore, IT security issues with IoT and smart services would become much more important than those in conventional IT systems, since the security breaches to IoT and smart services might do serious harms to our lives.
 

The following questions in general could be asked and explored in this track. What are the impact of IoT and smart services on individuals, groups, firms, industries, or countries? What are the challenges and successes in implementing IoT on smart services in various industries? Why are some implementations of IoT and smart services more successful than others? How do people/firms adopt IoT and smart services? What are the challenges and issues related to adopting IoT and Smart services? What are the key security issues for IoT and smart services? All conceptual, analytical, technical, and empirical papers are welcome as long as they develop or extend theory and provide implications to practice. We encourage all research methodologies, including simulations, text-mining, sentiment analysis, field experiments/observations, case studies, surveys, etc.
 

Topics of interest include, but are not limited to:
Adoption and diffusion of IoT and smart services
Applications and business models of IoT and smart services
Business intelligence in IoT and smart services
Business models and processes of IoT and smart services
Case studies of IoT and smart services
Challenges and successes in implementing IoT on smart services
Concepts and theories of IoT and smart services
Deviant consumer behaviors in smart services
Impact of IoT and smart services on individuals, groups, firms, industries, or countries
IoT and smart cities
IoT and smart factories/smart farms
IoT and smart home
IoT and smart products
IoT and smart services in tourism, healthcare, game, and other industries
Policy, governance, and sustainability issues of IoT and smart services
Privacy and security issues for IoT and smart services
Research methods in IoT and smart services
Technologies for design IoT and smart services

 

Track Co-Chairs:
Dr. Sung-Byung Yang (Kyung Hee University, Korea, email: sbyang@khu.ac.kr)
Dr. Kyung Young Lee (Dalhousie University, Canada, email: ky354506@dal.ca)
Dr. Sunghun Chung (The University of Queensland, Australia, email: S.Chung@business.uq.edu.au)

 

Track AEs:
Shamel Addas, Queen's University
Youngsok Bang, Chinese University of Hong Kong
Michael Bliemel, Dalhousie University
Kyung Jin Cha, Kangwon University
Younghoon Chang, BNU-HKBU United International College
Daegon Cho, KAIST
Jay JaeHwuen Jung, Temple University
Min-Hyung Kang, Ajou University
Chulmo Koo, Kyung Hee Univeristy
Hyeokkoo Eric Kwon, KAIST
Byoungsoo Kim, Yeungnam University
Keongtae Kim, Chinese University of Hong Kong
Taekyeong Kim, University of Suwon
Gunwoong Lee, Sungkyunkwan University
Jumin Lee, Kyung Hee Cyber University
Junyeong Lee, University of Science and Technology of China
Minwoo Lee, University of Houston
Jaehyun Park, Tokyo Institute of Technology
Soo Il Shin, University of Wisconsin-Green Bay
ShiKui Wu, Lakehead University
Changsok, Yoo, Kyung Hee University
Bo Yu, Dalhousie University

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