Results 71 to 80 of about 5,407 (203)

Technology‐Driven Transformation of Compensation Systems: Mapping the Causal Structure of Digital Reward Systems

Strategic Change, EarlyView.
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, Farzaneh Soltani, Gu Pang, Georgia Sakka, Salar Keshavarz Hedayati   +5 more
wiley   +1 more source

Integrating Queue Theory and Multi-Criteria Decision-Making Tools for Selecting Roll-Over Car Washing Machine [PDF]

Operations Research and Decisions, 2023
The study aims to develop a decision-making framework by integrating queuing theory and multi-criteria decision-making (MCDM) tools, namely TOPSIS, EDAS, CoCoSo, and TODIM to select a roll-over car washing machine for an oil station. The queue, technical
Mehmet Ozcalici
doaj  

Seven Years of Supply Chain 4.0 and Supply Chain 5.0: Mapping Themes and Knowledge Toward More Developed and Contemporary Supply Chains

Knowledge and Process Management, EarlyView.
ABSTRACT Technological advancements aligned with sustainability and resilience requirements, as well as, a greater focus on human‐centric perspectives, are creating significant transformations in supply chains in this decade, bringing them to a more developed stage.
Guilherme F. Frederico
wiley   +1 more source

Integrating Knowledge Management Into ERP Selection: A Fuzzy Multi‐Criteria Decision‐Making Model Based on Gray Theory in the Automotive Industry

Knowledge and Process Management, EarlyView.
ABSTRACT Enterprise Resource Planning (ERP) systems are integrated business management tools used by organizations to manage data and processes across various functions. While financial and technical considerations remain central to ERP selection, sustainable success also depends on the system's ability to support Knowledge Management (KM).
Deniz Sadat Sebti Esmail Pour, Ali Faghfouri   +1 more
wiley   +1 more source

A Novel Method to Investigate the Effect of Normalization Techniques on Fuzzy Multi-Criteria Decision-Making in Web Service Quality Assessments

Applied Sciences
Fuzzy multi-criteria decision-making (MCDM) methods remain popular for addressing decision-making problems involving uncertainty and explainability. However, decisions are usually made using data with different dimensions or even modalities.
Diana Kalibatienė, Rūta Simanavičienė   +1 more
doaj   +1 more source

SURVEY OF MULTI-CRITERIA DECISION MAKING (MCDM) METHODS FOR EVALUATING BARRIERS IN DECISION-MAKING PROCESSES

TRA VINH UNIVERSITY JOURNAL OF SCIENCE
This study analyzes the trends in applying multi-criteria decision-making methods to assess decision-making barriers through textmining techniques, including keyword frequency analysis, Latent Dirichlet Allocation modeling, and t-distributed Stochastic Neighbor Embedding. The results indicate that multi-criteria decision making is most commonly applied
null Ton Nguyen Trong Hien, null Choat Inthawongse, null Noppadol Amm-Dee   +2 more
openaire   +1 more source

Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique

Land Degradation &Development, EarlyView.
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley   +1 more source

Integrated hydrologic and hydrodynamic modeling for flood hazard assessment in Ajay River Basin, West Bengal, India

River, EarlyView.
Abstract The Ajay River, originating from the Chotanagpur Plateau (Bihar) and flowing through Jharkhand into West Bengal before merging with the Bhagirathi‐Hugli near Katwa, is among the most flood‐prone rivers in the region. Its lower reaches frequently experience rainfall‐induced flooding and embankment breaches during the mid‐ to late‐monsoon season.
Shanku Ghosh, C. Prakasam
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