Cai SHUN, Xiamen University China, email@example.com
Sumeet GUPTA, Indian Institute of Management Raipur, firstname.lastname@example.org
Hee-Woong KIM, Yonsei University, email@example.com
Description and Topics of Interest:
Recent technological developments such as social media, Internet of Things (IOT), cloud computing, blockchain and big data offer promising opportunities to transform the industrial landscape and organizational services. However, the true value of the developments can be only realized when there is successful implementation, adoption, and diffusion of these technologies. Information Systems (IS) adoption is one of the most researched themes in IS, with studies examining a wide range of technologies, adopters, and contexts using quantitative as well as qualitative research methods. Yet, there are continuous challenges abound with the constant flux of new IT applications such as big data, cloud computing, end-user computing, IOT and social media. New trends in societies, economies, and politics throughout the globe such as Bring-Your-Own-Device (BYOD), customer innovations, IoT, globalization, and environmental sustainability also demand novel and agile behavioral and technical approaches to implement, adopt and diffuse IS.
This track welcomes both full and research-in-progress papers that consider new developments in IS to provide fresh theoretical and methodological perspectives into IS implementation, adoption, and diffusion research.
We look forward to submissions that would advance empirical, theoretical, and methodological development while contributing to the practical management of IS. Submissions that describe original, inspiring, and practically-relevant research are strongly encouraged.
Topics include but are not limited to the following:
- Significant extensions/fresh theoretical perspectives for understanding IS implementation, adoption, and diffusion at individual, group, organizational, national, cross-border levels.
- Post-adoption system use and performance impacts
- New issues in the implementation, adoption, infusion, and diffusion of emerging IT applications such as big data, cloud computing, end-user computing, IoT, FinTech, and social media
- Contextual variables influencing IS implementation, adoption, and diffusion in important yet understudied industries, sectors, cultures, geographical regions, and relationships (e.g., inter-organizational alliance).
- Implementation, adoption and diffusion of large-scale and enterprise-level IS
- System design features and implementation, adoption, and diffusion.
- Comparison of non-adopters and adopters of IT
- Dark sides of system use or other undesirable effects of IS implementation, adoption and diffusion, e.g., technostress and addictions
- IS diffusion across temporal and geographical spans
- Tracking, measurement, and consequences of IS implementation, adoption, and diffusion
- Challenges to IS implementation, adoption, and diffusion posed by new socio-economical, and political trends
- New methodologies for studies on IS implementation, adoption, and diffusion research
- Multi-level models depicting IS implementation, adoption and diffusion across individuals, groups, organizations, industries, countries, regions, etc.
- Research on adoption of Blockchain and crypto-currency, including the legal issues therein