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Developing TOPSIS Method Using Statistical Normalization for Selecting Knowledge Management Strategies

Journal of Industrial Engineering and Management, 2013
Purpose: Numerous companies are expecting their knowledge management (KM) to be performed effectively in order to leverage and transform the knowledge into competitive advantages. However, here raises a critical issue of how companies can better evaluate
Ali Mohaghar
exaly   +3 more sources

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Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method

Land, 2021
Deti Xie
exaly  

Addressing Distress Management Challenges: Recommendations From the Consensus Panel of the American Psychosocial Oncology Society and the Association of Oncology Social Work

Ca-A Cancer Journal for Clinicians, 2021
Teresa L Deshields, Bradley J. Zebrack, Ryan Nipp   +2 more
exaly  

Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method

International Journal of Environmental Research and Public Health, 2022
Kai Wang, Quanfang Li
exaly  

A Novel Plithogenic TOPSIS- CRITIC Model for Sustainable Supply Chain Risk Management

Journal of Cleaner Production, 2020
Mohamed Abdel-Basset, Rehab Mohamed
exaly  

Optimal Pain Management for Patients With Cancer in the Modern Era

Ca-A Cancer Journal for Clinicians, 2018
Cardinale B Smith, Bethann M Scarborough
exaly  

Weight Management and Physical Activity Throughout the Cancer Care Continuum

Ca-A Cancer Journal for Clinicians, 2018
Wendy Demark-Wahnefried, Erin P Balogh, Melinda L Irwin   +2 more
exaly  

A Fuzzy AHP-TOPSIS Framework for Ranking the Solutions of Knowledge Management Adoption in Supply Chain to Overcome Its Barriers

Expert Systems With Applications, 2014
Sachin K Patil, Ravi Kant
exaly  

Evaluation of Sustainable Supply Chain Risk Management Using an Integrated Fuzzy TOPSIS- CRITIC Approach

Journal of Cleaner Production, 2018
Ahmad Esmaeili, Reza Rostamzadeh, Kannan Govindan   +2 more
exaly  

Organizational Strategy Development in Distribution Channel Management Using Fuzzy AHP and Hierarchical Fuzzy TOPSIS

Expert Systems With Applications, 2012
Cengiz Kahraman, Nimet Yapıcı Pehlivan
exaly