Dinda Thalia Andariesta
Dados Biográficos
| ID | 4635330 |
|---|---|
| NOME | Dinda Thalia Andariesta |
| PRENOMES | Dinda Thalia |
| SOBRENOME | Andariesta |
| ASSINATURA | ANDARIESTA D T |
| AFILIAÇÕES | Bandung Institute of Technology |
| ORCID | 0000-0003-3426-4218 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
The impact of industrial concentration and markups on price-cost margin and prices in the food industry
Purpose This study assesses firm behavior in the food industry by analyzing the extent and dynamics of industrial concentration, markups and prices. While these issues are relevant globally, the Indonesian context – marked by high agro-industrial heterogeneity, structural dominance in sectors like Crude Palm Oil (CPO) and persistent food price inflation – offers a strategically important setting for examining how market power affects pricing and …
Machine learning models for predicting international tourist arrivals in Indonesia during the Covid-19 pandemic: A multisource Internet data approach
Purpose This research presents machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data. Design/methodology/approach To develop the prediction models, this research utilizes multisource Internet data from TripAdvisor travel forum and Google Trends. Temporal factors, posts and comments, search queries index and previous tourist arrivals records are set as predic…
System dynamics approach to Indonesia's national tin production planning
The impact of Covid-19 on the labour market and the role of E-commerce development in developing countries: Evidence from Indonesia
This paper assesses the impact of covid-19 pandemic, measured through work mobility reduction, and e-commerce growth on the labour market using data from Indonesian labour force surveys and e-commerce transaction values. The findings confirm that the pandemic adversely affects workers’ employment prospects, work hours, total earnings, and hourly earnings. E-commerce growth does not counteract the adverse impact of the pandemic as expected, but it…
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The impact of Covid-19 on the labour market and the role of E-commerce development in developing countries: Evidence from Indonesia
This paper assesses the impact of covid-19 pandemic, measured through work mobility reduction, and e-commerce growth on the labour market using data from Indonesian labour force surveys and e-commerce transaction values. The findings confirm that the pandemic adversely affects workers’ employment prospects, work hours, total earnings, and hourly earnings. E-commerce growth does not counteract the adverse impact of the pandemic as expected, but it…
System dynamics approach to Indonesia's national tin production planning
The impact of industrial concentration and markups on price-cost margin and prices in the food industry
Purpose This study assesses firm behavior in the food industry by analyzing the extent and dynamics of industrial concentration, markups and prices. While these issues are relevant globally, the Indonesian context – marked by high agro-industrial heterogeneity, structural dominance in sectors like Crude Palm Oil (CPO) and persistent food price inflation – offers a strategically important setting for examining how market power affects pricing and …
Machine learning models for predicting international tourist arrivals in Indonesia during the Covid-19 pandemic: A multisource Internet data approach
Purpose This research presents machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data. Design/methodology/approach To develop the prediction models, this research utilizes multisource Internet data from TripAdvisor travel forum and Google Trends. Temporal factors, posts and comments, search queries index and previous tourist arrivals records are set as predic…
Business (3 obras) · Economics (3 obras) · Accounting (1 obras) · Agricultural economics (1 obras) · Agriculture (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Chemistry (1 obras) · Commerce (1 obras) · Computer Science (1 obras)