This study examines the effects of ethical leadership on individual unlearning, explorative learning, and exploitative learning. We test the mediating role of affective supervisory commitment in the relationship between ethical leadership and these…
Tags:Affective supervisor commitment,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Ethical leadership,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Learning,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Unlearning
The study aimed to test the effect of family support moderation on the influence of attitudes, subjective norms, and self-efficacy on entrepreneurship intentions. In other words, the study wanted to test the implementation of Milton Friedman's family…
This study aims to analyze effects of leadership, risk-taking, innovation, intensive participation and contribution participation on the performance of cooperative in banyumas, central java. The method used is multiple regression analysis using the…
This research aims to determine the influence of production costs and operational costs on net profit in manufacturing companies listed on the Jakarta Islamix Index (JII) for the 2018-2022 period by classifying sharia stock index…
This study aims to find out how service quality, patient satisfaction and physical environment affect patient satisfaction, and how service quality and physical environment affect patient satisfaction. and impact on patient satisfaction. These are…
Inventory management is one of the keys to the success of the production process in any company, including manufacturing companies. Therefore, determining the optimal amount of inventory is crucial for inventory management. In aproduction…
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model
estimation is complicated by the fact that we typically have multiple…
Convolutional Neural Networks (CNNs) are extensively utilized for image processing and recognition tasks; however, they often encounter challenges related to large model sizes and prolonged training times. These limitations
present difficulties in…
Tags:Character recognition,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , efficient deep learning,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Lightweight CNN,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , model optimization
This paper introduces software packages for efficiently imputing missing data using
deep learning methods in Python (MIDASpy) and R (rMIDAS). The packages implement
a recently developed approach to multiple imputation known as MIDAS, which…
This research explores the new strategy PT Angkasa Pura II (AP II) adopted as an airport operator to innovate to increase revenue through its subsidiary PT Angkasa Pura Kargo (APK) in the cargo business through a canvas model approach. This…