A Continuous‐Time Markov Chain Model–Based Business Analytics Approach for Estimating Patient Transition States in Online Health Infomediary-Reference-Cited by-同舟云学术

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A Continuous‐Time Markov Chain Model–Based Business Analytics Approach for Estimating Patient Transition States in Online Health Infomediary

Published:2020-01-20 Issue:1 Volume:51 Page:181-208
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Lim Sanghee¹,Yim Dobin²^ORCID,Khuntia Jiban³,Tanniru Mohan⁴^ORCID

Affiliation:

1. Carey Business SchoolThe Johns Hopkins University Baltimore MD 21202

2. Sellinger School of BusinessLoyola University Baltimore MD 21210

3. Business SchoolUniversity of Colorado Denver Denver CO 80202

4. Mel & Enid Zuckerman College of Public HealthUniversity of Arizona Tucson AZ 85724

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12430

Reference66 articles.

1. FLAS: Fuzzy lung allocation system for US-based transplantations

2. Corporate Wikis: The Effects of Owners' Motivation and Behavior on Group Members' Engagement

4. Self-efficacy: Toward a unifying theory of behavioral change.

5. The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

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