Customer satisfaction in the presence of imperfect knowledge of data-Reference-Cited by-同舟云学术

Customer satisfaction in the presence of imperfect knowledge of data

Published:2021-12-08 Issue: Volume: Page:
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Ferreira Diogo Cunha¹^ORCID,Soares Rodrigo²,Pedro Maria Isabel³,Marques Rui Cunha¹

Affiliation:

1. CERIS, Instituto Superior Técnico University of Lisbon Lisbon Portugal

2. Universidade Lusíada de Lisboa Lisbon Portugal

3. CEG‐IST, Instituto Superior Técnico University of Lisbon Lisbon Portugal

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.13093

Reference80 articles.

1. Make a customer, not a sale: Tourist satisfaction in Hong Kong

2. Analysing the effect of satisfaction and previous visits on tourist intentions to return

3. MUSA-INT: Multicriteria customer satisfaction analysis with interacting criteria

4. Response Rates in Organizational Science, 1995–2008: A Meta-analytic Review and Guidelines for Survey Researchers

5. Coherent Measures of Risk

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extracting knowledge from customer reviews: an integrated framework for digital platform analytics;International Transactions in Operational Research;2024-09

2. Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals;Expert Systems with Applications;2023-11

3. The Influence of Influencer Marketing on the Consumers’ Desire to Travel in the Post-Pandemic Era: The Mediation Effect of Influencer Fitness of Destination;Sustainability;2023-10-11

4. Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data;Informatica;2023