Article
Computer Science, Artificial Intelligence
Ana Carolina Almeida, Fernanda Baiao, Sergio Lifschitz, Daniel Schwabe, Maria Luiza M. Campos
Summary: Database tuning is a task executed by Database Administrators based on practical experience and domain knowledge, requiring precise configurations and awareness of possible interferences. An automatic tuning system can be seen as a decision support system, aiding in improving database performance and configuration management tasks.
DECISION SUPPORT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Arash Barfar, Balaji Padmanabhan, Alan Hevner
Summary: Companies invest in analytics to improve customer service experiences, with research showing the importance of the peak-end rule in enhancing satisfaction and loyalty. The introduction of peak cubes enables pinpointing prominent service levels in multidimensional profiles, extending research on behavioral economics and service design to broader settings. Results indicate the potential of multidimensional peak-end models to better predict customer satisfaction in various service scenarios.
DECISION SUPPORT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Diego J. Pedregal
Summary: This paper discusses the importance of time series forecasting in decision support systems, introduces a new algorithm for identifying structural Unobserved Components models, and highlights the effectiveness of combining forecasts over competition or method selection in certain cases.
DECISION SUPPORT SYSTEMS
(2021)
Review
Oceanography
Mojtaba Barzehkar, Kevin E. Parnell, Tarmo Soomere, Deirdre Dragovich, Johanna Engstrom
Summary: Coastal areas worldwide are facing challenges related to extreme water levels, inundation, and erosion, which need to be addressed considering infrastructure needs and socio-economic developments. Choosing the right decision support tools is crucial for coastal vulnerability assessment, and the use of DSS combining various DSTs can improve decision-making processes and provide comprehensive tools for calculating decision support indices. Hybrid tools integrating MCDA methods, GIS, and possibly ANN are becoming more popular for their effectiveness in handling uncertainty and improving the long-term applicability of tools employed by coastal managers.
OCEAN & COASTAL MANAGEMENT
(2021)
Article
Meteorology & Atmospheric Sciences
David R. Novak, Sarah E. Perfater, Julie L. Demuth, Stephen W. Bieda III, Gregory Carbin, Jeffrey Craven, Michael J. Erickson, Matthew E. Jeglum, Joshua Kastman, James A. Nelson, David E. Rudack, Michael J. Staudenmaier, Jeff S. Waldstreicher
Summary: This paper reviews innovations in winter storm forecasting over the past two decades and describes a potential future state. The main challenge is how to characterize uncertainty and communicate forecasts in a way that is understandable and useful to decision-makers. The paper suggests establishing a probabilistic framework with probabilistic hazard information as the foundation for decision support services.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Ru Wang, Anand Balu Nellippallil, Guoxin Wang, Yan Yan, Janet K. Allen, Farrokh Mistree
Summary: Process knowledge is crucial for the digitalization and intelligentization of the manufacturing industry. The management of complexity and uncertainty in model-based engineered systems is critical to achieving rational, comprehensive, and robust decisions. The proposed decision-centric design process representation scheme aims to support the management of complexity and uncertainty in decision-making processes.
ADVANCED ENGINEERING INFORMATICS
(2021)
Review
Operations Research & Management Science
Shivam Gupta, Sachin Modgil, Samadrita Bhattacharyya, Indranil Bose
Summary: This study reviews existing research in the field of decision support systems, investigates how artificial intelligence is integrated into operations research, and demonstrates AI's contribution to decision making in OR. The analysis shows synergies, differences, and overlaps between AI, DSSs, and OR, as well as the methodologies and theories used in DSS development. The research is categorized into theory-building and application-based approaches, highlighting AI's role in enhancing decision making processes.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Sandra Hogenboom, Jan Erik Vinnem, Ingrid B. Utne, Trond Kongsvik
Summary: A Dynamic Positioning (DP) system allows vessels and rigs to maintain a predetermined position and heading accurately under harsh environmental conditions. The decisions made by DP operators (DPOs) are safety critical, and their roles are evaluated through applied cognitive task analysis. Recommendations for safety improvement, system design, training, and operations set-up are formulated based on the analysis results.
Article
Business
Weixin Sun, Xuantao Zhang, Minghao Li, Yong Wang
Summary: This study proposes an interpretable high-stakes decision support system called CDFS for credit default forecasting. The feature selection and data balancing modules significantly improve the prediction performance, providing satisfactory explanations for prediction results to decision-makers.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Social Sciences, Interdisciplinary
Nicole D. Sintov, Kristin F. Hurst
Summary: Trust serves as a decision-making heuristic for assessing the risks of various technologies, particularly social trust and integrity. The role of integrity, but not competence, as a decision-making heuristic was supported in the experiments. The influence of integrity on risk perception was stronger when there were time pressures, but this effect diminished in a context characterized by greater experience.
JOURNAL OF RISK RESEARCH
(2023)
Review
Psychology, Multidisciplinary
Vincent Berthet
Summary: The author reviewed research on the impact of cognitive biases on decision-making in management, finance, medicine, and law. The findings indicate that cognitive biases have an impact on professionals' decisions in these four areas, with overconfidence being the most common bias. The level of evidence supporting this claim varies across the different fields.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Agronomy
Ahmet Seren
Summary: Agricultural production and food are crucial for nutrition, and their sustainability relies on adequate water supply. Despite global increase in water use in various sectors, agriculture remains the largest user, especially in semi-arid regions like Turkey. To overcome the water shortage during dry periods, stored precipitation water is utilized for irrigation. The goal of irrigation management is to ensure fair distribution of water based on current available resources, irrigation system capacity, and actual needs. Automation and decision support systems may have high initial costs but provide long-term benefits in irrigation facilities operation and maintenance. The web-based application, Irrigation Facilities Spatial Information System (SUTEM), is designed to monitor, evaluate, and report on the operation and management of facilities, saving time and labor, enabling control and supervision, standardizing reports, and enhancing data security.
IRRIGATION AND DRAINAGE
(2023)
Article
Chemistry, Multidisciplinary
Agnieszka Lesniak
Summary: This paper investigates the tendering system for selecting contractors in the construction market and proposes the use of statistical classification methods to support this process. By analyzing historical data, two models were constructed using logit regression and linear discriminant analysis, with the latter achieving better results. Six key variables were identified in the model to assist contractors in making bidding decisions within a limited time frame.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Aerospace
Seamus Lombardo, Javier Kinney, Dawn Blake, Shaonna Chase, Atticus Stovall, Afreen Siddiqi, Katya Arquilla, Steven Israel, Danielle Wood, Olivier de Weck
Summary: This article presents a process of developing a Decision Support System (DSS) using satellite data, addressing the lack of stakeholder engagement and accessibility of satellite data. By utilizing the System Architecture Framework (SAF) and the Environment-Vulnerability-Decision-Technology (EVDT) integrated modeling framework, researchers have successfully developed an accessible DSS for forest management decision-making for the Yurok Tribe. User feedback indicates high ratings for information accuracy, relevancy, and sufficiency.
Article
Chemistry, Analytical
Piotr Lubkowski, Jaroslaw Krygier, Tadeusz Sondej, Andrzej P. Dobrowolski, Lukasz Apiecionek, Wojciech Znaniecki, Pawel Oskwarek
Summary: The area of military operations presents a significant challenge for medical support, and the ability to quickly evacuate wounded soldiers is crucial. This paper introduces the architecture of an electronically supported decision support system for medical evacuation during military operations, which can also be used by other services such as police or fire service.
Article
Health Care Sciences & Services
Olivier van Noort, Fredo Schotanus, Joris van de Klundert, Jan Telgen
Article
Management
Fredo Schotanus, Jan Telgen, Luitzen de Boer
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2008)
Article
Public Administration
Pricivel Carrera, Sukran Katik, Fredo Schotanus
Summary: This study investigated joint purchasing of pacemakers in The Netherlands, revealing significant price savings differences attributed to scale and collective knowledge. For smaller organizations, economies of process and knowledge are more important than scale, while for larger organizations, scale plays a crucial role.
JOURNAL OF PUBLIC PROCUREMENT
(2021)
Article
Management
Fredo Schotanus, Gijsbert van den Engh, Yoran Nijenhuis, Jan Telgen
Summary: Research shows that using relative scoring methods that allow rank reversal in public procurement conflicts with principles and results in reduced overall bid value. In 1 out of 5 Dutch public tenders analyzed, rank reversal occurs after adding non-optimal fictional bids.
JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT
(2022)
Article
Public Administration
Jacco Robbert Jan van Berkel, Fredo Schotanus
Summary: The study demonstrates that the Procurement with Impact policy had a significant positive short-term effect on the inclusion of green award criteria and requirements in central government tenders, while no significant difference was found on a municipal level.
JOURNAL OF PUBLIC PROCUREMENT
(2021)
Article
Public Administration
Helen Walker, Fredo Schotanus, Elmer Bakker, Christine Harland
PUBLIC ADMINISTRATION REVIEW
(2013)
Article
Public Administration
Fredo Schotanus, Elmer Bakker, Helen Walker, Michael Essig
PUBLIC ADMINISTRATION REVIEW
(2011)
Article
Management
Fredo Schotanus, Jan Telgen, Luitzen de Boer
JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT
(2010)
Article
Health Policy & Services
Olivier van Noort, Fredo Schotanus
JOURNAL OF INTEGRATED CARE
(2015)
Article
Management
Hengyu Liu, Kai Zheng
Summary: Since August 2018, African swine fever (ASF) has caused over one million pig deaths in China and led to a surge in pork prices. To address this issue, the Chinese government has implemented two farm subsidies: the compulsory culling subsidy (CCS) and the large-scale breeding subsidy (LBS). Through a game-theoretic model, the study explores the optimal design of these subsidy programs and their impacts on different stakeholders.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Reza Azad Gholami, Leif Kristoffer Sandal, Jan Uboe
Summary: This paper investigates a decentralized supply channel where a manufacturer and a retailer compete in a multi-period discrete time setting, addressing uncertain demand through dynamic channel optimization. The paper proposes solution algorithms and theorems that highlight the benefits of postponement strategies for the follower and potential harm for the manufacturer in a decentralized channel.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Anne G. Balter, Ki Wai Chau, Nikolaus Schweizer
Summary: This study examines whether the threshold parameter in the Omega ratio represents risk aversion by analyzing the asymptotic expansions for risk premia. The results suggest that the threshold in the Omega ratio represents risk aversion when the variance of the additional risk decreases with the background risk and when the density of the background risk is log-concave. Comparisons with expected utility criteria indicate that the conditions for the Omega threshold to represent risk aversion are comparable to those for exponential utility functions.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Fengfeng Xie, Lei Chen
Summary: This paper examines the strategic sourcing decisions of a local brand (BOP) when purchasing remanufactured components from a local supplier (LSP). The study finds that the BOP tends to decrease its purchasing orders from the LSP when the probability of overseas supply disruption is high, while the LSP is willing to sell components to the BOP when the probability is in a moderate range.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Chiang Kao
Summary: This study develops a model to calculate the maximum SBM efficiency for general network production systems, and applies it to a garment manufacturing company. The results show that the sewing operation contributes more to the system efficiency than the cutting operation does.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Baozhuang Niu, Jiayun Liu, Jianhua Zhang, Kanglin Chen
Summary: This study examines a brand's decision on reselling through a platform by using game-theoretical analysis and big data validation based on transaction-level data from JD.com. The study finds that the platform's channel advantage and high logistics service level encourage brands to choose the reselling mode, and the impact of the platform's private label competition is non-monotonic.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Ali Fereydooni, Sasan Barak, Seyed Mehrzad Asaad Sajadi
Summary: This study develops an online portfolio selection strategy that considers Environmental, Social, and Governance factors in addition to return and risk. The results indicate the superiority of the approach that considers Environmental, Social, and Governance factors in terms of profit, volatility, and the highest deflated Sharpe ratio.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Sally Giuseppe Arcidiacono, Salvatore Corrente, Salvatore Greco
Summary: This paper introduces a method to handle multiple compatible value functions in multi-criteria decision making by building a probability distribution. Stochastic multicriteria acceptability analysis provides statistical information based on the decision maker's preferences. Extensive simulations and sensitivity analysis have been conducted to demonstrate the superiority of the proposed method.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Junlin Chen, Zewu Jiang, Xiaobo Zhao, Wanshan Zhu, Jinxing Xie
Summary: In this study, we investigate a supply chain system consisting of a retailer and a supplier. We examine the threshold problem in contract design and take into account the risk preference of the retailer and the fairness concern of the supplier. The experiment shows that the behavior of the retailer affects the threshold of the optimal contract design, while the behavior of the supplier only affects the optimal wholesale price. These findings suggest that the behavior of retailers and suppliers play a crucial role in the mechanism design of supply chains.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Shuxia Peng, Bo Li, Wei Zheng
Summary: This study examines the impact of consumers' valuation updating on optimal pricing decisions and market structure in a competitive software market. The results show that with consumers' valuation updating, the incumbent can maximize profits through market segmentation, dominance, or entry deterrence strategies, and is willing to share the market with the entrant, achieving a win-win situation.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Victor Gimenez, Diego Prior, Claudio Thieme, Emili Tortosa-Ausina
Summary: This study proposes a nonparametric activity analysis methodology to assess the effectiveness of pandemic management in 61 countries nine months into the COVID-19 pandemic. The results show that effectiveness is strongly influenced by socioeconomic and cultural factors and reveal three main groups of countries based on their management level. This highlights the importance of operations research methods in accurately assessing pandemic management.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Narges Sereshti, Yossiri Adulyasak, Raf Jans
Summary: This paper investigates the stochastic multi-level lot sizing problem with a service level and explores the value of adding flexibility in such context. By modeling the problem as a two-stage stochastic program with uncertain demand and considering different demand scenarios, the study shows that adding flexibility to the system can result in cost savings, even with a small degree of flexibility.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Jafar Chaab, Georges Zaccour
Summary: This paper examines the pricing of a new product in the presence of sophisticated consumer behaviors. The study finds that forward-looking consumer behavior can either strengthen or weaken the effectiveness of a penetration pricing strategy, while the superiority of committed pricing in terms of firm's profit heavily depends on consumer behaviors.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Amelia Bilbao-Terol, Celia Bilbao-Terol
Summary: This paper presents a methodology that combines the hedonic pricing method and the Choquet integral for modelling the hotel selection process. This hybrid technique takes into account both market valuation and the importance of criteria, and holds potential benefits.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Management
Hui Li, Dongdong Wu
Summary: This study aims to investigate the impact of scale effects from restructuring on performance in tourism firms, and examine the influence of investor attention on restructuring performance. The findings reveal that restructuring activities can enhance scale effects, but the benefits decrease over time, and investor attention online also plays a role in determining restructuring performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
