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Prescriptive process monitoring: Quo vadis ?
14 references·9 citing·52 second hopsampled
Prescriptive process monitoring: Quo vadis ? (2022)Prescriptive process monitoring: Quo vadi…Prescriptive Business Process Monitoring for Recommending Next Best Actions (2020)Prescriptive Business Process…Prescriptive analytics: Literature review and research challenges (2019)Prescriptive analytics: Liter…Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm (2019)Prediction-based Resource All…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…Human resource allocation in business process management and process mining (2018)Human resource allocation in …Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Busi…Online Controlled Experiments and A/B Testing (2017)Online Controlled Experiments…Prescriptive Analytics for Recommendation-Based Business Process Optimization (2014)Prescriptive Analytics for Re…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…A recommendation system for predicting risks across multiple business process instances (2014)A recommendation system for p…Improving business process decision making based on past experience (2013)Improving business process de…Process mining (2012)Process miningA Guide to Conducting a Systematic Literature Review of Information Systems Research (2011)A Guide to Conducting a Syste…Supporting Flexible Processes through Recommendations Based on History (2008)Supporting Flexible Processes…Achieving framed autonomy in AI-augmented business process management systems through automated planning (2025)Achieving framed autonomy in …Prescriptive analytics systems revised: a systematic literature review from an information systems perspective (2024)Prescriptive analytics system…Predictive process monitoring: concepts, challenges, and future research directions (2024)Predictive process monitoring…Improving Process Mining Maturity – From Intentions to Actions (2024)Improving Process Mining Matu…Digital Twins of Business Processes: A Research Manifesto (2024)Digital Twins of Business Pro…Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns (2023)Outcome-Oriented Prescriptive…Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning (2023)Learning When to Treat Busine…From process mining to augmented process execution (2023)From process mining to augmen…Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring (2023)Automatically reconciling the…Meta-Analytic Procedures for Social Research. 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A systematic literature review of empirical studies (2018)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Workflow mining: A survey of issues and approaches (2003)The ProM Framework: A New Era in Process Mining Tool Support (2005)Beyond rigidity – dynamic process lifecycle support (2009)Beyond Process Mining: From the Past to Present and Future (2010)Visually specifying compliance rules and explaining their violations for business processes (2010)Big data: The next frontier for innovation, competition, and productivity (2011)Process Mining (2011)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Queue mining for delay prediction in multi-class service processes (2015)Trustworthy journalism through AI (2023)Process‐Aware Information Systems (2005)Process-aware information systems: bridging people and software through process technology (2006)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Predictive Business Process Monitoring with Structured and Unstructured Data (2016)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Business Process Intelligence (2003)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Procedures for Performing Systematic Reviews (2004)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Predictive Process Monitoring (2022)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Competing on analytics: the new science of winning (2007)Competing on Analytics: The New Science of Winning (2007)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Human resources analytics: A systematization of research topics and directions for future research (2021)The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review (2021)Statistics for Experimenters: Design, Innovation, and Discovery (2006)The lean startup : how today's entrepreneurs use continuous innovation to create radically successful businesses (2011)Improving the sensitivity of online controlled experiments by utilizing pre-experiment data (2013)Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine (2021)A Review of Evaluation Practices of Gesture Generation in Embodied Conversational Agents (2022)Restaurant analytics: Emerging practice and research opportunities (2022)
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References

  • 2011A Guide to Conducting a Systematic Literature Review of Information Systems Research1,849 cited
  • 2019Prescriptive analytics: Literature review and research challenges501 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2012Process mining292 cited
  • 2017Predictive Monitoring of Business Processes: A Survey279 cited
  • 2008Supporting Flexible Processes through Recommendations Based on History192 cited
  • 2017Online Controlled Experiments and A/B Testing192 cited
  • 2018Predictive Process Monitoring Methods: Which One Suits Me Best?175 cited
  • 2014A recommendation system for predicting risks across multiple business process instances136 cited
  • 2013Improving business process decision making based on past experience120 cited
  • 2014Prescriptive Analytics for Recommendation-Based Business Process Optimization76 cited
  • 2018Human resource allocation in business process management and process mining67 cited
  • 2020Prescriptive Business Process Monitoring for Recommending Next Best Actions64 cited
  • 2019Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm62 cited

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  • 2024Predictive process monitoring: concepts, challenges, and future research directions

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58 cited
  • 2024Prescriptive analytics systems revised: a systematic literature review from an information systems perspective40 cited
  • 2024Digital Twins of Business Processes: A Research Manifesto32 cited
  • 2023From process mining to augmented process execution30 cited
  • 2023Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning27 cited
  • 2023Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns22 cited
  • 2024Improving Process Mining Maturity – From Intentions to Actions16 cited
  • 2025Achieving framed autonomy in AI-augmented business process management systems through automated planning14 cited
  • 2023Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring13 cited