Article
Business
Oihab Allal-Cherif, Virginia Simon-Moya, Antonio Carlos Cuenca Ballester
Summary: This article discusses the impact of artificial intelligence (AI) on purchasing departments, exploring the application of AI in procurement and examining case studies of relevant technologies. The study suggests that AI can enhance the performance of purchasing departments, redefining the roles of purchasers and supplier relationship management.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Mathematics
Xiaoqing Liu, Gongli Luo, Xinsheng Xu
Summary: The paper focuses on the optimal purchasing decision in the case of supplier default in portfolio procurement. It found that supplier default restricts the purchase quantity and the buyer's profits increase with a decrease in the default rate.
Article
Computer Science, Artificial Intelligence
Ming Li, Xinxin Wang, Zeshui Xu
Summary: As the global environment worsens, enterprise decision-makers no longer prioritize qualitative factors like yield when selecting machine tools, but also pay attention to green sustainability and intelligent structure. This study establishes a two-stage decision-making framework and a decision support system that combines quantitative and qualitative analysis for machine tool purchasing decisions. The first stage focuses on quantitative analysis and proposes a mathematical model for the intelligent production system. The second stage involves qualitative analysis and proposes an improved TOPSIS method with nested probabilistic linguistic terms to obtain the best alternative comprehensively.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Sadik Kucuksari, Dragan Pamucar, Muhammet Deveci, Nuh Erdogan, Dursun Delen
Summary: This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases. The model employs an aggregated rough linguistic matrix and incorporates nonlinear aggregation functions to address uncertainties and accommodate decision makers' risk attitudes. A large-scale post-EV test drive survey is conducted to validate the model's efficacy, and sensitivity analysis confirms its robustness. The results highlight the importance of the reliability criterion and the dominance of vehicle-related characteristics in the decision-making process.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Nils Koebis, Christopher Starke, Iyad Rahwan
Summary: This passage discusses the political and social consequences of using AI in anti-corruption efforts. It argues that the success of AI-based anti-corruption tools depends on their implementation and outlines the challenges that need to be overcome.
NATURE MACHINE INTELLIGENCE
(2022)
Article
Environmental Studies
Solene Guggisberg, Aline Jaeckel, Tim Stephens
Summary: Increasing transparency in fisheries governance is essential for addressing the pressures faced by fisheries worldwide. Transparency requires the availability of relevant data and an inclusive decision-making process. It also plays a crucial role in ensuring compliance and accountability.
Article
Psychology, Multidisciplinary
Shaoling Fu, Ruili Ma, Guangyao He, Zhiyi Chen, Hua Liu
Summary: In 2020, the outbreak of COVID-19 has led to a shift in consumer behavior towards online consumption. However, the issue of online fraud in green agricultural products undermines consumer trust and hinders the sustainable consumption of these products. This study examines how the transparency of product environmental information impacts online consumers' purchasing behavior of green agricultural products. The findings demonstrate that different dimensions of environmental information transparency have varying effects on different dimensions of consumer trust, and that consumer trust has a significant positive effect on online purchase behavior. Improving the transparency of environmental information can enhance consumer trust and promote online consumption of green agricultural products.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Genetics & Heredity
Daniela M. DeCristo, Laura V. Milko, Julianne M. O'Daniel, Ann Katherine M. Foreman, Lonna F. Mollison, Bradford C. Powell, Cynthia M. Powell, Jonathan S. Berg
Summary: Commercial neonatal genomic screening panels have heterogeneous content and may contain some conditions with lower actionability than would be expected for public health newborn screening; conversely, some conditions with higher actionability may be omitted from these panels.
Article
Business
Joao M. Lopes, Micaela Pinho, Sofia Gomes
Summary: This study explores the main factors of green marketing affecting young Portuguese green purchasing decisions and their relationship with environmental concerns. The findings indicate that factors such as willingness to purchase, awareness of price, perceived benefits, and perceived quality are positively associated with young people's environmental concerns and green purchasing decisions.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Computer Science, Cybernetics
Ruikun Luo, Na Du, X. Jessie Yang
Summary: This study aims to examine the temporal dynamics of autonomy transparency and its effect on trust, dependence, and performance. By developing a game and displaying the intelligent assistant's decision-making rationale, the study found that participants' trust significantly increased and became more calibrated over time.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Operations Research & Management Science
Belleh Fontem
Summary: This article analyzes decision-making for a car rental firm and explores the importance of when to sell a rental car. The article proposes optimal and heuristic selling policies and conducts numerical experiments to compare their performance.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Construction & Building Technology
Alexandra Weniger, Pamela Del Rosario, Jana Gerta Backes, Marzia Traverso
Summary: The construction industry is facing increasing pressure to become more sustainable due to its significant contributions to global greenhouse gas emissions and raw material consumption. Despite the availability of sustainable solutions, their adoption remains limited. This study aims to examine the effects of sustainability-related aspects on the purchasing behavior of private individuals in the German construction industry. The results show that consumers have a basic interest in sustainable building products but lack a holistic understanding of sustainability, with limited consideration of social and economic aspects.
Article
Genetics & Heredity
Robin L. Pierce, Wim Van Biesen, Daan Van Cauwenberge, Johan Decruyenaere, Sigrid Sterckx
Summary: The combination of Big Data and Artificial Intelligence (AI) holds great potential in delivering health benefits in medical decision-making. However, the responsible adoption of AI-based clinical decision support systems faces challenges, particularly in terms of explainability. This paper explores the function of explainability in clinical practice and distinguishes between the needs of current and future patients. It highlights the role of transparency and argues that accuracy is sufficient for clinical decision-making in the short term, while the potential for improving future care justifies the need for scientific explanations.
FRONTIERS IN GENETICS
(2022)
Article
Medicine, General & Internal
Michael D. Anestis, Shelby L. Bandel, Allison E. Bond
Summary: This study found that individuals who acquired firearms during the surge period were more likely to experience suicidal thoughts compared to other firearm owners and non-firearm owners. This was especially true for those who purchased a firearm for the first time during the surge period. The results highlight the importance of implementing policies and interventions to enhance safety among firearm purchasers, such as promoting safe firearm storage, and encouraging the acquisition of alternative forms of protection like home alarm systems.
Article
Multidisciplinary Sciences
Rakesh Dhama, Ali Panahpour, Tuomas Pihlava, Dipa Ghindani, Humeyra Caglayan
Summary: The authors demonstrate a method of modulating the amplitude of incident signals by controlling the plasmon-induced enhancement of the index of refraction. This approach does not require gain materials or nonlinear processes and can potentially improve the modulation strength of optical modulators and switches.
NATURE COMMUNICATIONS
(2022)
