Decision Support Systems

Papers
(The H4-Index of Decision Support Systems is 39. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Digital Twin: Generalization, characterization and implementation346
Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection249
Promoting or attenuating? An eye-tracking study on the role of social cues in e-commerce livestreaming109
Deep learning for detecting financial statement fraud101
A note on big data analytics capability development in supply chain91
An empirical investigation of online review helpfulness: A big data perspective78
Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory77
On the platform but will they buy? Predicting customers' purchase behavior using deep learning66
Data engineering for fraud detection65
An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection64
Big arena, small potatoes: A mixed-methods investigation of atmospheric cues in live-streaming e-commerce64
Analytics with digital-twinning: A decision support system for maintaining a resilient port57
How guest-host interactions affect consumer experiences in the sharing economy: New evidence from a configurational analysis based on consumer reviews57
Mental models and expectation violations in conversational AI interactions56
Social media-driven customer engagement and movie performance: Theory and empirical evidence56
A group decision-making approach for exploring trends in the development of the healthcare industry in Taiwan56
From conflicts and confusion to doubts: Examining review inconsistency for fake review detection56
S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site54
Reconciling business intelligence, analytics and decision support systems: More data, deeper insight50
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models49
A decision support framework for home health care transportation with simultaneous multi-vehicle routing and staff scheduling synchronization49
What are customers commenting on, and how is their satisfaction affected? Examining online reviews in the on-demand food service context48
Improving fake news detection with domain-adversarial and graph-attention neural network47
A new approximate belief rule base expert system for complex system modelling47
Bitcoin price forecasting: A perspective of underlying blockchain transactions46
Elaboration likelihood model, endogenous quality indicators, and online review helpfulness44
Understanding users' trust transfer mechanism in a blockchain-enabled platform: A mixed methods study44
Listening to online reviews: A mixed-methods investigation of customer experience in the sharing economy43
CATCHM: A novel network-based credit card fraud detection method using node representation learning43
Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering43
Understanding consumer engagement in social media: The role of product lifecycle43
Forecasting demand profiles of new products42
Effects of the most useful offline-online and online-offline channel integration services for consumers42
A dynamic simulation approach to support the evaluation of cyber risks and security investments in SMEs41
Customer models for artificial intelligence-based decision support in fashion online retail supply chains41
Combining review-based collaborative filtering and matrix factorization: A solution to rating's sparsity problem41
How learning effects influence knowledge contribution in online Q&A community? A social cognitive perspective40
Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning40
Automated dynamic approach for detecting ransomware using finite-state machine39
0.055366039276123