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Victimological Study of Revenue State Losses Caused by Tax Crime
The victimology study on recouping state damages from criminal acts in tax crime is discussed in this essay. It is important to understand that the victim in tax criminal is the revenue state losses. The research method used is a…
Vicarious Interactions in Online Support Communities: The Roles of Visual Anonymity and Social Identification
Online information seekers often do not actively post or engage in interactions with others, inviting
research on how passive users of online communities benefit from the information they see. Based on the social identity model of deindividuation…
research on how passive users of online communities benefit from the information they see. Based on the social identity model of deindividuation…
Vehicle Detection Monitoring System using Internet of Things
The overcapacity of vehicle numbers is one of the significant causes of the traffic congestion problem on Indonesia roadway.
The government applies a One-way system (SSA) as one proposed solution to unravel the congestion. However, several…
The government applies a One-way system (SSA) as one proposed solution to unravel the congestion. However, several…
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models
The issue of variance components testing arises naturally when building mixed-effects
models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models…
models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models…
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 …