3. Producción
Browse
5 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Successes and failures of the “modern rebellion” in an export economy: the case of the Peruvian mining in the twentieth century(Springer International Publishing, 2021-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors affecting the revenue of MTE Mechanical Private Limited Company(2021-01-21)MTE Mechanical Private Limited Company is a manufacturing company located at Batu Maung, Malaysia producing fabricated metal products. During 2020, the company’s revenue has significantly decreased compared to the previous year. Therefore, the of this research is to identify the factors which affect the revenue of the company. Online interviews were used to collect information from the company’s owner and three of their customers. The present study found that the delivery service and product’s quality of the company are the major issues having effects upon the company’s revenue. Moreover, the findings of the present study would benefit the company. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The role of information in eliciting support for inheritance taxation(London School of Economics and Political Science, 2024-12-04)This paper uses a survey experiment embedded in the Survey of Health, Ageing and Retirement (SHARE) for Luxembourg – a representative sample of the population aged 50 and above in the country – to show how provision of information influences elicited support for inheritance taxation. While support is low in generic, direct questions about inheritance taxation, support increases when respondents are asked to express views about linear tax rates with explicit tax exemption thresholds and when information is provided about how tax revenues will be used – especially if respondents are told revenues will be used to improve the quality of basic education. This information effect plays even in our setting in which the focus is on inheritances from parents to children. It is only relevant however for respondents who were initially opposed to the tax and does not affect strongly the proponents. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Recent Tax Reforms in Peru: A Macro-Sectoral Assessment Using a Dynamic Computable General Equilibrium Model(RELX Group (Netherlands), 2026-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improving Asset Allocation in a Fast Moving Consumer Goods B2B Company: An Interpretable Machine Learning Framework for Commercial Cooler Assignment Based on Multi-Tier Growth Targets(Institute of Electrical and Electronics Engineers Inc., 2025-11-10)In the fast-moving consumer goods (FMCG) industry, deciding where to place physical assets, such as commercial beverage coolers, can directly impact revenue growth and execution efficiency. Although churn prediction and demand forecasting have been widely studied in B2B contexts, the use of machine learning to guide asset allocation remains relatively unexplored. This paper presents a framework focused on predicting which beverage clients are most likely to deliver strong returns in volume after receiving a cooler. Using a private dataset from a well-known Central American brewing and beverage company of 3,119 B2B traditional trade channel clients that received a cooler from 2022-01 to 2024-07, and tracking 12 months of sales transactions before and after cooler installation, three growth thresholds were defined: 10%, 30% and 50% growth in sales volume year over year. The analysis compares results of machine learning models such as XGBoost, LightGBM, and CatBoost combined with SHAP for interpretable feature analysis in order to have insights into improving business operations related to cooler allocation; the results show that the best model has AUC scores of 0.857, 0.877, and 0.898 across the thresholds on the validation set. Simulations suggest that this approach can improve ROI because it better selects potential clients to grow at the expected level and increases cost savings by not assigning clients that will not grow, compared to traditional volume-based approaches with substantial business management recommendations2