Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Smart data pricing: Lessons from trial planning
Ming Jye Sheng
, Carlee Joe-Wong
, Sangtae Ha
, Felix Ming Fai Wong
,
Soumya Sen
Information and Decision Sciences
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
7
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Smart data pricing: Lessons from trial planning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Trial Planning
100%
Smart Data Pricing
100%
Communication Service Providers
71%
Data Plans
28%
Spectrum Requirement
14%
Trial Design
14%
Customer Behavior
14%
Pricing Algorithm
14%
Cost Reduction
14%
Traffic Pattern
14%
Participant Survey
14%
Behavior Planning
14%
Network Equipment
14%
Trial Participants
14%
Pricing Plan
14%
Pricing Research
14%
Trial Benefits
14%
Trial Results
14%
Pricing Approach
14%
Mathematics
Concludes
100%
Trial Design
100%
Trial Result
100%
Customer Behavior
100%
Social Sciences
Legal Procedure
100%
Pricing
100%
Service Provider
62%
Communication Service
62%
Survey Participant
12%
Computer Science
Communication Service
100%
Service Provider
100%
Network Equipment
20%
Traffic Pattern
20%
Customer Behavior
20%
Economics, Econometrics and Finance
Pricing
100%
Neuroscience
Behavior (Neuroscience)
100%