Results 81 to 90 of about 43,287 (259)

Satisfaction with Service Recovery-A Study of Educational Sector in Pakistan

International Journal of Multidisciplinary and Current Research, 2017
The aim of the research is to study the effect of attribution, service recovery effort and justice on satisfaction with service recovery which shows toward positive or negative word of mouth under the moderating role of age and education. Convenience sampling technique was used to collect data. The proposed hypotheses are test by using AMOS.
null Talat, Tahira Abid, null Noor Naeem, null Hafiz Muhammad Tahir   +2 more
openaire   +1 more source

Reconfiguring Fresh Produce Supply Chains in Response to Drought Risk: Evidence From the U.S. Broccoli Market

Agribusiness, EarlyView.
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai, Miguel I. Gómez, Harry M. Kaiser   +2 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

PENGARUH E-SERVICE QUALITY DAN E-RECOVERY SERVICE QUALITY TERHADAP E-CUSTOMER SATISFACTION DAN E-CUSTOMER LOYALTY

Profit: Jurnal Administrasi Bisnis, 2019
The purpose of this study is to find the impact of e-service quality and e-recovery service quality on e-customer satisfaction and e-customer loyalty in Shopee's online marketplace.
Suci Rizka Khairuna Tambusai, Suharyono Suharyono, Edriana Pangestuti   +2 more
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Service Recovery, Satisfaction and Customers’ Post Service Behavior in the Malaysian Banking Sector

Management Dynamics in the Knowledge Economy, 2014
Financial services sector has become so competitive after Malaysia government’s liberalization policy. In order to address this intense competition, banks have shifted their strategy from product-centered to a customer-centered strategy. This study is to test a model related to the relationship between the service recovery, customer satisfaction and ...
Shaheen MANSORI, Goh Guann TYNG, Zarina Mizam Mohd ISMAIL   +2 more
openaire   +2 more sources

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Theoretical integration of EFQM, Herzberg, Maslow and expectancy models into a TQM framework: implications for service innovation, service recovery and job satisfaction

Cogent Business & Management
This study investigates the relationship between Total Quality Management (TQM) practices and job satisfaction among university staff in Saudi Arabia, examining the mediating roles of service innovation and service recovery.
Nohman Khan, Huma Sikandar, Mohammad Falahat, Abdulaziz Abdulrahman Alsaad, Syed Maisam Raza Rizvi   +4 more
doaj   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source