Towards an Effective Organization-Wide Bulk Email System
Ruoyan Kong

TL;DR
This paper investigates how to improve organizational bulk email systems by understanding stakeholder needs, evaluating personalization effects, and designing tools to enhance message effectiveness and employee engagement.
Contribution
It introduces a multi-stakeholder personalization framework and a neural network-based message reading estimation tool, advancing effective communication in large organizations.
Findings
Current system retains only 22% of communicated information.
Personalization improved message recognition rate by 20%.
Neural network estimation achieved 73% accuracy.
Abstract
Bulk email is widely used in organizations to communicate messages to employees. It is an important tool in making employees aware of policies, events, leadership updates, etc. However, in large organizations, the problem of overwhelming communication is widespread. Ineffective organizational bulk emails waste employees' time and organizations' money, and cause a lack of awareness or compliance with organizations' missions and priorities. This thesis focuses on improving organizational bulk email systems by 1) conducting qualitative research to understand different stakeholders; 2) conducting field studies to evaluate personalization's effects on getting employees to read bulk messages; 3) designing tools to support communicators in evaluating bulk emails. We performed these studies at the University of Minnesota, interviewing 25 employees (both senders and recipients), and including…
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Taxonomy
TopicsPersonal Information Management and User Behavior · Team Dynamics and Performance · Usability and User Interface Design
