ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning
Business processes are a key driver of organizational success, which is why business process improvement (BPI) is a central activity of business process management. Despite an abundance of approaches, BPI as a creative task is time-...
Highlights
- Supported creation of business process improvement ideas.
- Based on generative ...
Understanding user misrepresentation behavior on social apps: The perspective of privacy calculus theory
Due to the rapid growth of social media and mobile devices, social apps have become deeply integrated into people's lives. Extensive adoption of social apps entails the collection of massive amounts of users' private information, ...
Highlights
- Examine user misrepresentation behavior on social apps through using privacy calculus theory.
When machines trade on corporate disclosures: Using text analytics for investment strategies
Can you make profits by trading on corporate disclosures using machine learning? In this study, we aim to obtain a conservative estimate of profitability, while accounting for the combination of several important real-world aspects. ...
Highlights
- Trading strategies based on corporate disclosures using machine learning.
- ...
Removing order effects from human-classified datasets: A machine learning method to improve decision making systems
Although recent developments in Artificial Intelligence (AI) and machine learning (ML) aim to enhance the fairness and transparency of decision-making systems, research has found that neural networks (or other similar AI techniques) ...
Highlights
- We analyze order effects in decision-making.
- We present a Design Science ...
Determining the optimal release time of movies: A study of movie and market characteristics
- We determine the optimal time between a movie’s theater and OTT releases.
- Our ...
The over-the-top (OTT) industry has witnessed remarkable growth in recent years with a sharp increase in the number of subscribers, leading to increased competition among OTT platforms to acquire movie rights. Consequently, the gap ...
Collaborative group embedding and decision aggregation based on attentive influence of individual members: A group recommendation perspective
A key group decision making task is to aggregate individual preferences. Conventional group decision methods adopt pre-defined and fixed strategies to aggregate individuals' preferences, which can be ineffective due to the varying ...
Highlights
- Proposed a novel collaborative Group Embedding and Decision Aggregation (GEDA) model based on attentive influence of individual members.
Understanding and managing the participation of batteries in reserve electricity markets
The proliferation of variable renewable energy increases the significance of reserve markets, which provide energy flexibility to compensate for supply–demand mismatches on short notice. Accordingly, market regulators in different ...
Highlights
- Battery systems can considerably benefit from asymmetric bidding in reserve markets.
Fine-grained classification of drug trafficking based on Instagram hashtags
Social networks have become important platforms for the marketing and sale of illicit drugs. Hashtags make it easier for users to engage in drug trafficking, further increasing the risk of drug abuse. However, there are significant ...
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Highlights
- We provide a systematic study of the fine-grained classification of drug-related hashtags in posts or comments on Instagram.