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Inefficiency source tracking: evidence from data envelopment analysis and random forests
(
Springer Nature
, 2021 , Article)
In the present era of complex environments, banks operate in a more dynamic environment, which in turn, affects their relative efficiency. Traditional Data envelopment analysis (DEA) models are widely used to measure ...
Controversial debates about workforce nationalisation: Perspectives from the Qatari higher education industry
(
Taylor and Francis Group
, 2024 , Article)
Workforce nationalisation in the Gulf Corporation Council (GCC) countries is a crucial challenge for their development plans. The current study explores controversial debates about workforce nationalisation to understand ...
To switch or not to switch: the role of tourists’ psychological engagement in the context of Airbnb Malaysia
(
Emerald Publishing Limited
, 2020 , Article)
Purpose: The demand for Airbnb is at a peak in Malaysia with 137% of yearly growth. As such, it is indeed important to understand what makes tourists to switch to Airbnb. However, little has been known about this issue in ...
On Neuroevolution of Multi-Input Compositional Pattern Producing Networks: A Case of Entertainment Computing, Edge Devices, and Smart Cities
(
Association for Computing Machinery (ACM)
, 2023 , Article)
This work presents a novel approach by utilizing Heterogeneous Activation Neural Networks (HA-NNs) to evolve the weights of Artificial Neural Networks (ANNs) for reinforcement learning in console and arcade computer games ...
Competitive priorities for regional operations: a Delphi study
(
Taylor & Francis
, 2020 , Article)
Perceptions and principles of competitiveness in the context of production and operations management (POM) have evolved over time towards trends in which firms compete at supply chain level. This evolution underscores the ...
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms
(
Taylor & Francis
, 2021 , Article)
The digital supply chains enabled by Big Data Analytics (BDA) capabilities have become a business significance to develop a competitive and sustainable supply chain. The implementation of BDA for sustainable supply chains ...
A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information
(
Springer Nature
, 2021 , Article)
The efficiency of banks has a critical role in development of sound financial systems of countries. Data Envelopment Analysis (DEA) has witnessed an increase in popularity for modeling the performance efficiency of banks. ...
A characterization of Top Trading Cycles under trading networks
(
Elsevier
, 2023 , Article)
We consider an object reallocation problem within a specific class of trade restrictions. An agent can only receive the object of someone else connected to him, which is referred to as feasibility. We introduce a Network ...
Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement
(
Elsevier
, 2022 , Article)
This study aims to understand the consumption values that positively influence the adoption of mobile payment apps (MPAs). The theory of consumption values and two more constructs, initial trust (INT) and customer involvement ...
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
(
Elsevier
, 2023 , Article)
Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ...