Results 71 to 80 of about 5,537 (200)

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

open access: yesStrategic 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   +5 more
wiley   +1 more source

Soft consensus model for the group fuzzy AHP decision making

open access: yesCroatian Operational Research Review, 2017
The fuzzy analytic hierarchy process (AHP) is an extension to the classical AHP that enables dealing with the impreciseness and vagueness of judgments. It has been frequently used for handling complex decision making problems that demand a group rather ...
Lidija Zadnik Stirn, Petra Grošelj
doaj   +1 more source

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

open access: yesKnowledge 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   +1 more
wiley   +1 more source

Office location selection by fuzzy AHP and VIKOR

open access: yesInternational Journal of Information and Decision Sciences, 2019
In a globalised business world, reaching the basic goal of companies which is profit maximisation has become such competitive for both manufacturing and service firms. While reaching this basic goal, increasing income is not sufficient, but also minimising the costs is required.
Tayfun Arar   +2 more
openaire   +2 more sources

Integrating Machine Learning and StoDyM for Check Dam Site Selection on the Loess Plateau, China

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Severe soil erosion in the Loess Plateau has led to significant land degradation, threatening agricultural productivity and ecosystem stability. Check dams, as a critical soil–water conservation measure, have proven effective in mitigating sediment loss and reclaiming farmland.
Hongwei Ma   +3 more
wiley   +1 more source

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

open access: yesLand 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

Reframing FDI Motivations Through OLIP: Explaining Private Engagement for Sustainable Development in PPPs

open access: yesSustainable Development, EarlyView.
ABSTRACT The drivers of firms' participation in fragile markets have become increasingly complex. Under such conditions, the conventional explanation focusing on incentives within the OLI framework—ownership, location, and internalization advantages—proves insufficient.
Yu Ri Kim, Seo Yun Choi, Taewoo Roh
wiley   +1 more source

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

open access: yesSustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione   +2 more
wiley   +1 more source

Combination of Fuzzy Logic and Analytical Hierarchy Process Techniques to Assess Potassium Saturation Percentage of Some Calcareous Soils (Case Study: Fars Province, Southern Iran)

open access: yesAgriculture, 2016
This research was carried out to evaluate the capability of a combined fuzzy logic-based approach and analytical hierarchy process (AHP) for potassium saturation percentage (KSP) estimation in some calcareous soils of southern Iran.
Marzieh Mokarram, Mahdi Najafi-Ghiri
doaj   +1 more source

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

open access: yesSustainable 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   +4 more
wiley   +1 more source

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