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Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R
Clustered covariances or clustered standard errors are very widely used to account for
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…
Valuing digital possessions: the role of affordances
In this article, we introduce an affordance-orientated approach for the study of digital possessions. We identify affordances as a source of value
for digital possessions and argue that dominant meaning-orientated approaches do not enable us to…
for digital possessions and argue that dominant meaning-orientated approaches do not enable us to…
VALUE OPTIMIZATION STRATEGY FOR MSME CLUSTERS IN EAST JAVA
PROVINCE AFTER THE PANDEMIC
This study aims to provide a model for developing MSME values in Indonesia
based on Geography Spatial Supply Chain 4.0. This model seeks to increase
effectiveness by optimizing production factors after the COVID-19 pandemic.
This study uses a…
based on Geography Spatial Supply Chain 4.0. This model seeks to increase
effectiveness by optimizing production factors after the COVID-19 pandemic.
This study uses a…
Value co-creation and perceived value: A customer perspective in the hospitality context
Using the DART (dialogue, access, risk, and transparency) model as a core framework of value co-creation (VCC), and in the context of hospitality services, this study explores the role VCC might have in customers’ perceived value (PV). The study…
VALUE CHAIN ANALYSIS IN INDOMARET RAWA SIMPRUG
KEBAYORAN LAMA
The value chain is a tool for analyzing competitive advantages and creating the
right technology to enhance those advantages. In this article, the value chain is
used to analyze the small retail market industry. Retail is the end point of…
right technology to enhance those advantages. In this article, the value chain is
used to analyze the small retail market industry. Retail is the end point of…
Valuation Analysis Using Fcff And Rv Of Oil And Gas Sub-Sector Companies On Idx 2016-2020
This research aims at examining the intrinsic value of stocks in the oil and gas sectors in 2021. This research used 2016-2020 data to calculate the historical performance of each company, which was projected from 2021-2025 based on …
Validity and risk factor analysis for helicopter emergency medical services in Japan: a pilot study
Background: Some emergency departments use triage scales, such as the Canadian Triage and Acuity Scale and
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
Validation of age-specific survival prediction in pediatric patients with blunt trauma using trauma and injury severity score methodology: a ten-year Nationwide observational study
Background: In-hospital mortality in trauma patients has decreased recently owing to improved trauma injury
prevention systems. However, no study has evaluated the validity of the Trauma and Injury Severity Score (TRISS) in
pediatric patients by a…
prevention systems. However, no study has evaluated the validity of the Trauma and Injury Severity Score (TRISS) in
pediatric patients by a…
Utilizing X Sentiment Analysis to Improve Stock Price Prediction Using Bidirectional Long Short-Term Memory
The capital market is one of the important factors that influence the national economy. However, the
stock price in capital market fluctuates over time. Therefore, the investors strongly need an accurate
prediction of stock price for making…
stock price in capital market fluctuates over time. Therefore, the investors strongly need an accurate
prediction of stock price for making…