Temple University, USA
Erasmus University, Netherland
Korea Advanced institute of Science and Technology (KAIST), Korea
A few years back, we perceived the rapid uptake of mobile media, ubiquitous computing, and IoT (Internet of Things) to be an interesting academic phenomenon. Today, these technologies have permeated our lives to an unprecedented degree, and the interplay of people, computing, data, and things is evolving at an increasingly fast pace in practice and daily lives. We connect to friends, family members, colleagues, and communities 24/7, and we interact with objects surrounding us, such as our fridge, car, drones, or even robots. Indeed, receiving data from embedded sensors and other similar devices that monitor health conditions and other aspects of life has become integral of our everyday life and routines.
Given this emerging landscape, IS researchers inevitably face a plethora of new digitalization challenges to explore, understand, explain and design: What do people expect from interactions with other people, data, and things? What are the contextual factors that drive their behavior? What are the technology affordances that influence and shape these use patterns? What is the impact of these interactions on individuals, organizations, and society at large? How can we design innovative solutions to improve the interplay of people, computing, data, and things?
Moreover, there are many theoretical and practical questions that emanate from the abundance of data that characterizes our contemporary life. They range from tackling socio-technical aspects associated with the volume, variety, velocity, and veracity of data in an interconnected digital/mobile environment to extracting information and knowledge resources that help organizations and institutions to innovate. Such renewal of organizational practices involves amongst others redefining customer relationships, optimizing distributed operations, and empowering employees. This calls for IS researchers both to build revelatory theory about the novel organizational capabilities required to build successful entrepreneurial ecosystems, as well as to address new and existing design problems by creating useful, innovative, and reusable solutions enabled by IoT, mobile devices, ubiquitous computing, and other digital technologies.
Overall, the main focus of the conference theme track is:
1. to advance a better understanding of how people interact with exponentially growing data and increasingly autonomous things, mobile devices, and ubiquitous computing;
2. to contribute to the development of innovative and disruptive use cases that derive from these emerging technologies;
3. to assess their advantages and disadvantages from individual, organizational, market, and societal perspectives, and
4. to contribute to a better understanding of respective design problems and opportunities and prescribe innovative design approaches that would help address such problems.
We invite papers that utilize a diverse range of perspectives, and we welcome controversial and well-argued papers that challenge established positions. We also encourage the use of novel research methods that take advantage of innovative approaches to exploit the potential of data analytics and other contemporary research approaches.
Topics of interest include, but are not limited to:
• Novel business models and business value creation enabled by people, data, and things.
• Key technology affordances and capabilities that influence use patterns and shape individual, organizational, market, and societal behaviors.
• Privacy, ownership, and informed consent of data and information generated by IoT, mobile devices, and ubiquitous computing technologies.
• Roles, governance structures, authority relations, and community boundaries related to IoT, mobile devices, and ubiquitous computing.
• Entrepreneurship, innovation, and organizational capabilities required to exploit pertinent innovations in IoT, mobile devices, and ubiquitous computing.
• Empirical accounts of human agents, data, algorithms, and mobile/voice devices and their relationships and interactions.
• Mobile-based marketing and other consumer targeting strategies.
• Voice-enabled interaction and communication with machines, things, and businesses, such as Amazon Echo (e.g., Alexa), Samsung Bixby, and other intelligent algorithms.
• Design, implementation, and evaluation of novel digital systems and mobile infrastructures that render innovative or disruptive use-cases.
• Algorithmic decision-making afforded by big-data and business analytics related to IoT, mobile, and ubiquitous computing.
• Assessments of the consequences of the Internet for people, data, and things from individual, organizational, market and societal perspectives.
• New approaches and methods that are appropriate for studying increasingly complex digital environments due to the emergence of IoT, mobile, and ubiquitous computing.
• Ada Wang, Temple University, United States
• Atish Sinha, University of Wisconsin Milwaukee, United States
• Christian Peukert, Católica Lisbon School of Business & Economics, Portugal
• Dimitrios Tsekouras, Erasmus University, Netherlands
• Dongwon Lee, Korea University Business School, Korea • Dylan Walker, Boston University, United States
• Hangjung Zo, KAIST, South Korea • Heng Xu, Pennsylvania State University, United States
• Hongyan Liu, Tsinghua University, China
• Hyeokkoo Eric Kwon, NTU, Singapore
• Il Im, Yonsei University, South Korea
• Jae-Hyeon Ahn, KAIST, South Korea
• Jing Gong, Temple University, United States
• Jingjing Zhang, Indiana University, United States
• Jiye Baek, Hong Kong University of Science and Technology, Hong Kong
• Konstantin Bauman, Temple University, United States
• Meng Liu, Washington University in St Louis and MIT, United States
• Michelle Andrews, Emory University, United States
• Monica Tremblay, College of William and Mary, United States
• Tae Hun Kim, Baylor University, United States
• Thomas Frick, Copenhagen Business School, Denmark
• Tianshu Sun, USC, United States
• Tobias Brandt, Erasmus University, Netherlands
• Xuan Ye, Boston College, United States
• Xue Guo, Temple University, United States
• Young Bong Chang, Sungkyunkwan University, South Korea
• Young Kwark, University of Florida, United States
• Zike Cao, Erasmus University, Netherlands