Standout Papers

How gamification marketing activities motivate desirable consumer behaviors: Focusing on the role of bra... 2018 2026 2020 2023 177
  1. How gamification marketing activities motivate desirable consumer behaviors: Focusing on the role of brand love (2018)
    Chia‐Lin Hsu, Mu‐Chen Chen Computers in Human Behavior

Citation Impact

Citing Papers

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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
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20 years of performance measurement in sustainable supply chain management – what has been achieved?
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Credit risk assessment model for Jordanian commercial banks: Neural scoring approach
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Review of the main developments in the analytic hierarchy process
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Using neural network ensembles for bankruptcy prediction and credit scoring
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Particle swarm optimization for parameter determination and feature selection of support vector machines
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Two credit scoring models based on dual strategy ensemble trees
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Computing with Words in Decision support Systems: An overview on Models and Applications
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A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
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A lean pull system design analysed by value stream mapping and multiple criteria decision-making method under demand uncertainty
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Internet of Things in Industries: A Survey
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Recent advances and applications of machine learning in solid-state materials science
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The use of grey relational analysis in solving multiple attribute decision-making problems
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PROMETHEE: A comprehensive literature review on methodologies and applications
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Unique in the shopping mall: On the reidentifiability of credit card metadata
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Analysis of intelligent green building policy and developing status in Taiwan
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A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
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A comparative assessment of ensemble learning for credit scoring
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Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
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A hybrid genetic algorithm-TOPSIS-computer simulation approach for optimum operator assignment in cellular manufacturing systems
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Learning from class-imbalanced data: Review of methods and applications
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Development of a quick credibility scoring decision support system using fuzzy TOPSIS
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Information flow in supply chain management: A review across the product lifecycle
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Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
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Development of a credit limit allocation model for banks using an integrated Fuzzy TOPSIS and linear programming
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Boosted SVM with active learning strategy for imbalanced data
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On hyperparameter optimization of machine learning algorithms: Theory and practice
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
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Discovering medical quality of total hip arthroplasty by rough set classifier with imbalanced class
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Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014
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Computing with words in decision making: foundations, trends and prospects
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The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
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The impact of environmental orientation on supplier green management and financial performance: The moderating role of relational capital
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Deep learning and its applications to machine health monitoring
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Predicting Corporate Financial Sustainability Using Novel Business Analytics
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Cross-border B2C e-commerce to China
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Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network
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Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
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Hesitant Fuzzy Linguistic Term Sets for Decision Making
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Definitions, methods, and applications in interpretable machine learning
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Food safety pre-warning system based on data mining for a sustainable food supply chain
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Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance
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Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications
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Service Quality Delivery through Web Sites: A Critical Review of Extant Knowledge
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Exploring purchase intention in cross-border E-commerce: A three stage model
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A state-of the-art survey of TOPSIS applications
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A cloud-based location assignment system for packaged food allocation in e-fulfillment warehouse
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Grey system theory-based models in time series prediction
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Local Semidefinite Programming-Based Node Localization System for Wireless Sensor Network Applications
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The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study
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Using data mining to improve assessment of credit worthiness via credit scoring models
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Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
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Operations Research (OR) in Service Industries: A Comprehensive Review
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A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues
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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
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Joint maintenance and inventory optimization systems: A review
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Information flow in reverse logistics: an industrial information integration study
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Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry
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Short-term traffic forecasting: Where we are and where we’re going
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A multi-methodological approach for shipping registry selection in maritime transportation industry
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Examining students’ online interaction in a live video streaming environment using data mining and text mining
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Works of Mu‐Chen Chen being referenced

Last-mile distribution planning for fruit-and-vegetable cold chains
2018
Evaluating the cross-efficiency of information sharing in supply chains
2009
Developing an advanced Multi-Temperature Joint Distribution System for the food cold chain
2009
The Self-Learning Particle Swarm Optimization approach for routing pickup and delivery of multiple products with material handling in multiple cross-docks
2016
OPTIMIZING JOINT MAINTENANCE AND STOCK PROVISIONING POLICY FOR A MULTI-ECHELON SPARE PART LOGISTICS NETWORK
2006
Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis
2016
Identifying important variables for predicting travel time of freeway with non-recurrent congestion with neural networks
2012
The data-driven analytics for investigating cargo loss in logistics systems
2017
Credit scoring with a data mining approach based on support vector machines
2006
Aggregation of orders in distribution centers using data mining
2005
Applying the Kano model and QFD to explore customers' brand contacts in the hotel business: A study of a hot spring hotel
2011
The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres
2011
Evaluating the supply chain performance of IT-based inter-enterprise collaboration
2007
Integrating independent component analysis and support vector machine for multivariate process monitoring
2010
Configuration of cellular manufacturing systems using association rule induction
2003
Optimal Gabor filter design for texture segmentation using stochastic optimization
2001
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
2011
Credit scoring and rejected instances reassigning through evolutionary computation techniques
2003
Multiple attribute decision-making methods for the dynamic operator allocation problem
2006
Intelligent ICA–SVM fault detector for non-Gaussian multivariate process monitoring
2009
A study on the relationship between the PDSA cycle of green purchasing and the performance of the SCOR model
2010
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
2006
An information granulation based data mining approach for classifying imbalanced data
2008
Rankless by CCL
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