The impact of technology intervention on organizations and end users’ digital engagement
Sun, Ruo-Ting
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https://hdl.handle.net/2142/115559
Description
Title
The impact of technology intervention on organizations and end users’ digital engagement
Author(s)
Sun, Ruo-Ting
Issue Date
2022-04-18
Director of Research (if dissertation) or Advisor (if thesis)
Shaw, Michael J.
Doctoral Committee Chair(s)
Shaw, Michael J.
Subramanyam, Ramanath
Committee Member(s)
Han, Wencui
Garimella, Aravinda
Department of Study
Business Administration
Discipline
Business Administration
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
User Engagement
Blockchain Technology
Action Design Research
Sentiment Analysis
Abstract
New technologies emerge rapidly and two challenging decisions are the applicability of new technology to a firm and the capability of a firm to motivate user engagement as well as build customer loyalty. The main purpose of this dissertation is to understand the impact of technology intervention on organizations and users’ digital engagement from perspectives of corporate-level, individual-level, and community-level. The first study aims to apply a case study method to examine the applicability of new technology (blockchain) and how organizational costs transform. The framework provides companies a guideline to evaluate the applicability of new technology and predict organization boundaries. The second study aims to develop an enhanced action design research (ADR) process to identify users’ behavioral patterns and their adherence to a plan through a mHealth app. The principles learned from this study can be applied to improve the effectiveness of mHealth apps. The third study aims to empirically tests the interaction between online users in an online support group and its impact on members’ subsequent engagement. This study expects to document empirical evidence of behavioral heterogeneity and the value of interpersonal sentiment interaction, from a large dataset, in improving the health of an online support group. This study also presents valuable findings for platform facilitators and healthcare workers and has implications for platform design.
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