Decision Support Systems

Papers
(The H4-Index of Decision Support Systems is 38. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Digital Twin: Generalization, characterization and implementation234
Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection210
Fake online reviews: Literature review, synthesis, and directions for future research165
Fraud detection: A systematic literature review of graph-based anomaly detection approaches158
Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming99
Bayesian neural networks for flight trajectory prediction and safety assessment85
Promoting or attenuating? An eye-tracking study on the role of social cues in e-commerce livestreaming79
A note on big data analytics capability development in supply chain76
Deep learning for detecting financial statement fraud71
Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory69
How do agribusinesses thrive through complexity? The pivotal role of e-commerce capability and business agility64
Automated discovery of business process simulation models from event logs64
Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information64
An empirical investigation of online review helpfulness: A big data perspective61
A linguistic signaling model of social support exchange in online health communities56
An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection55
Conversational Recommender Systems and natural language:53
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model53
A text analytics framework for understanding the relationships among host self-description, trust perception and purchase behavior on Airbnb52
Data engineering for fraud detection52
Effectiveness of privacy assurance mechanisms in users' privacy protection on social networking sites from the perspective of protection motivation theory49
Analytics with digital-twinning: A decision support system for maintaining a resilient port47
Social media-driven customer engagement and movie performance: Theory and empirical evidence46
On the platform but will they buy? Predicting customers' purchase behavior using deep learning45
Continuous content contribution in virtual community: The role of status-standing on motivational mechanisms45
A group decision-making approach for exploring trends in the development of the healthcare industry in Taiwan45
Uplift Modeling for preventing student dropout in higher education45
How guest-host interactions affect consumer experiences in the sharing economy: New evidence from a configurational analysis based on consumer reviews44
Big arena, small potatoes: A mixed-methods investigation of atmospheric cues in live-streaming e-commerce44
Quality-informed semi-automated event log generation for process mining43
Mental models and expectation violations in conversational AI interactions42
S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site41
From conflicts and confusion to doubts: Examining review inconsistency for fake review detection41
A new emergency decision support system: the automatic interpretation and contextualisation of events to model a crisis situation in real-time40
A decision support framework for home health care transportation with simultaneous multi-vehicle routing and staff scheduling synchronization40
Exploring the role of deep neural networks for post-disaster decision support39
A new approximate belief rule base expert system for complex system modelling39
Examining the role of emotion in online consumer reviews of various attributes in the surprise box shopping model38
What are customers commenting on, and how is their satisfaction affected? Examining online reviews in the on-demand food service context38
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