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Digital technology organizations routinely use online experiments (e.g. A/B tests) to guide their product and business decisions. In e-commerce, we often measure changes to transaction- or item-based business metrics such as Average Basket…

Applications · Statistics 2023-04-18 C. H. Bryan Liu , Emma J. McCoy

In a global business context with continuous changes, the enterprises have to enhance their operational efficiency, to react more quickly, to ensure the flexibility of their business processes, and to build new collaboration pathways with…

Software Engineering · Computer Science 2012-02-21 Fatima-Zahra Belouadha , Hajar Omrana , Ounsa Roudiès

In Business Intelligence, accurate predictive modeling is the key for providing adaptive decisions. We studied predictive modeling problems in this research which was motivated by real-world cases that Microsoft data scientists encountered…

Machine Learning · Computer Science 2018-11-16 Junxuan Li , Yung-wen Liu , Yuting Jia , Yifei Ren , Jay Nanduri

Web Service is an interface which implements business logic. Performance is an important quality aspect of Web services because of their distributed nature. Predicting the performance of web services during early stages of software…

Performance · Computer Science 2012-01-11 Ch Ram Mohan Reddy , D. Evangelin Geetha , K. G. Srinivasa , T. V. Suresh Kumar , K. Rajani Kanth

Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative options to improve a business process. A common roadblock for…

Software Engineering · Computer Science 2020-03-30 Manuel Camargo , Marlon Dumas , Oscar González-Rojas

Business process simulation (BPS) is a key tool for analyzing and optimizing organizational workflows, supporting decision-making by estimating the impact of process changes. The reliability of such estimates depends on the ability of a BPS…

Machine Learning · Computer Science 2025-05-29 Konrad Özdemir , Lukas Kirchdorfer , Keyvan Amiri Elyasi , Han van der Aa , Heiner Stuckenschmidt

To approach different business objectives, online traffic shaping algorithms aim at improving exposures of a target set of items, such as boosting the growth of new commodities. Generally, these algorithms assume that the utility of each…

Machine Learning · Computer Science 2022-01-03 Chenlin Shen , Guangda Huzhang , Yuhang Zhou , Chen Liang , Qing Da

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to understand the relationship between people management practices and…

Multiagent Systems · Computer Science 2010-07-05 Peer-Olaf Siebers , Uwe Aickelin , Helen Celia , Chris Clegg

The importance of simulation at machine level in industrial environments is steadily increasing especially in the design and commissioning phase. Using models during the operation phase together with the real machine or plant is referred to…

Systems and Control · Electrical Eng. & Systems 2024-02-09 Darius Deubert , Lars Klingel , Andreas Selig

Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Peer-Olaf Siebers , Uwe Aickelin , Helen Celia , Christopher Clegg

Foundation agents have rapidly advanced in their ability to reason and interact with real environments, making the evaluation of their core capabilities increasingly important. While many benchmarks have been developed to assess agent…

The purpose of this research is to develop a model that would close the gap between marketing plans and strategies from one side and the advanced online collaboration applications platforms known as WEB 2.0 in order to implement marketing…

Other Computer Science · Computer Science 2013-08-23 Abdulrahman Aldhaheri , Christian Bach

Business process simulation is an approach to evaluate business process changes prior to implementation. Existing methods in this field primarily support tactical decision-making, where simulations start from an empty state and aim to…

Software Engineering · Computer Science 2025-09-10 Maksym Avramenko , David Chapela-Campa , Marlon Dumas , Fredrik Milani

Managing stock efficiently remains a core issue in modern logistics, where companies must reconcile cost efficiency with dependable service despite unpredictable market conditions. Conventional models often overlook the direct connection…

Optimization and Control · Mathematics 2026-04-14 Tianxiao Sun , Noah Schwarzkopf

In a large E-commerce platform, all the participants compete for impressions under the allocation mechanism of the platform. Existing methods mainly focus on the short-term return based on the current observations instead of the long-term…

Machine Learning · Computer Science 2018-07-03 Hua-Lin He , Chun-Xiang Pan , Qing Da , An-Xiang Zeng

In this paper, we present our software-supported method for analyzing the economic feasibility of business models. The method integrates the business models and business processes perspectives for analyzing how a company appropriates the…

Computers and Society · Computer Science 2019-09-30 Egon Lüftenegger , Selver Softic

The real-time data collection and automation capabilities offered by the Internet of Things (IoT) are revolutionizing and transforming Business Processes (BPs) into IoT-enhanced BPs, showing high potential for improving sustainability.…

Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among…

Statistics Theory · Mathematics 2007-06-13 David L. Banks , Yasmin H. Said

Many of today's online services provide personalized recommendations to their users. Such recommendations are typically designed to serve certain user needs, e.g., to quickly find relevant content in situations of information overload.…

Information Retrieval · Computer Science 2023-12-25 Alvise De Biasio , Nicolò Navarin , Dietmar Jannach

Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require numerical evaluation of likelihoods. However, a public benchmark with appropriate performance metrics for…

Machine Learning · Statistics 2021-04-12 Jan-Matthis Lueckmann , Jan Boelts , David S. Greenberg , Pedro J. Gonçalves , Jakob H. Macke