Results 21 to 30 of about 2,799 (164)

Implementation of Multi-Criteria Decision Making (MCDM) for new student majors recommendations

International Journal of Engineering Technology and Natural Sciences, 2022
Selection of the right major and according to ability is one way for students to be able to complete their studies at college. Error choosing majors is a problem that is often experienced by students. Many students are confused and careless in choosing a major, there are also those who choose a major based on the wishes of their parents or following a ...
null Ikrimach, Murti Retnowo
openaire   +1 more source

Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis [PDF]

, 2023
Khoiron Khulud, Ilyas Masudin, Fien Zulfikarijah, Dian Palupi Restuputri, Abdul Haris   +4 more
openalex   +1 more source

The Role of Knowledge‐Based Resources in Leveraging Business Analytics

Knowledge and Process Management, EarlyView.
ABSTRACT Business analytics enhances managerial decision‐making. To this end, previous research guides firms to combine their tangible business analytics resources, such as data and technology, with intangible knowledge‐based business analytics resources to enable that business analytics supports decision‐making.
Johanna Orjatsalo, Henri Hussinki, Aino Kianto   +2 more
wiley   +1 more source

Environmental, Social and Governance Strategies for Sustainable Development Goal 3: Enhancing Health and Social Wellbeing

Sustainable Development, EarlyView.
ABSTRACT The discourse on Environmental, Social, and Governance (ESG) strategies is growing, yet its ability to meaningfully advance health and social wellbeing (H&SW) in line with United Nations Sustainable Development Goal (SDG 3) remains under‐examined. Existing studies assume that ESG automatically strengthens SDG 3 outcomes, yet how the Governance
Arjun Chaudhuri, Mahak Sharma, Devrim Murat Yazan   +2 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework

Sustainable Development, EarlyView.
ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley   +1 more source

A Multi‐Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a transformative force across business and society due to its ability to generate new content. This potential to reshape businesses introduces challenges and opportunities, necessitating a deeper understanding of GenAI's impact.
Symone G. S. Alcalá, Victor L. de Nicolas, Alvaro J. Lopez‐Lopez, Mariano Ventosa   +3 more
wiley   +1 more source

From the Shallows to the Shelves and Back: A Review, Synthesis, and Research Agenda for Socially Sustainable, AI‐Driven Digital Fashion Supply Chains

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT The fashion supply chain is undergoing a transformation driven by AI, with significant implications for social sustainability and ethics. This study examines how AI‐powered innovations optimize supply chain operations, enhance transparency, and support ethical labor practices.
Guli‐Sanam Karimova, Stephen A. LeMay, Alina Müller, Matthias Klumpp   +3 more
wiley   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Assessing inconsistencies in the FITradeoff method: a comparison of two preference modeling paradigms

International Transactions in Operational Research, EarlyView.
Abstract Many decision‐making processes are susceptible to errors and inconsistencies introduced by decision‐makers (DMs). The development of decision support systems (DSS) has brought about a way to guide DMs through complex decision scenarios. However, due to the complexity of the process, inconsistencies may still arise.
Evanielle Barbosa Ferreira, Lucia Reis Peixoto Roselli, Adiel Teixeira de Almeida   +2 more
wiley   +1 more source