Podcasts are becoming popular with internet users and used by brands as part of their digital marketing strategy. The aim the paper is to understand which variables influence engagement consumers result in financial support for podcasts. With a focus group followed survey involving 274 Brazilian listeners who financially podcasts, it was possible confirm that benefits perceived these play significant role this medium. Feelings gratitude connection brand also had positive impact on...

Whenever companies plan to enter new geographical areas, they need disaggregated sales in each location. To make such predictions, time series or final customers' data disaggregation are necessary. However, for most companies, datasets unavailable impractical. The manuscript has two main goals. One focal problem is how disaggregate an aggregate prediction with no historical proportions. other improve spatial models using Point of Interest (POI) data. solve these problems, we combine...

O objetivo deste artigo é analisar criticamente as representações sobre a infância desenvolvidas nas ações de marketing uma empresa vestuário infantil, avaliando se estas podem contribuir para "adultização" do consumidor infantil. objeto estudo foram duas últimas campanhas comunicação (outono/inverno 2008 e primavera/verão 2008/2009) da Lilica Ripilica, conhecida marca no Brasil segmento infantil feminino. Utilizamos metodologia análise crítica discurso (FAIRCLOUGH, 2001), em três etapas:...

This paper, which is the result of a doctoral thesis, investigates aspects related to quality assurance distance undergraduate courses in Brazil. It provides critical analysis Brazilian education system and compares it with international accreditation process used USA. The study consists qualitative descriptive analysis, several case studies, literature review, interviews evaluators coordinatorsof distance-run (D.Ed.). data from instruments were then processed according Discourse Textual...

Purpose This study aims to propose a new method predict retail store performance using publicly available satellite imagery data and machine learning (ML) algorithms. The goal is provide manufacturers other practitioners with more accurate objective way assess potential channel members mitigate information asymmetry in selection negotiation. Design/methodology/approach authors developed an open-source approach Google ML A computer vision algorithm was used count cars parking lots, the were...

Abstract One of the most challenging aspects for managers when building a forecasting system is choosing how to aggregate data at different levels. This frequently done without manager knowing these choices can compromise system's accuracy. article illustrates compromises by comparing structures and aggregation criteria. Our proposes empirically tests framework on build coherent more accurate system. The framework's first phase compares time series methods, including statistical, “standard”...

Este relato de pesquisa objetiva investigar a avaliação da qualidade na educação superior distância, em tempos expansão do Ensino Superior, perspectiva dos sistemas garantia (acreditação). A constitui-se numa análise qualitativa, descritiva, naturalístico-construtiva, contando, para tal, com levantamento bibliográfico. Faz parte investigação identificação das métricas utilizadas medir Educação Distância no contexto internacional. Os resultados indicam que acreditação pode ser uma boa opção...

Este artigo apresenta um relato de pesquisa, com fundamentação em SILVA, VYGOTSKY e PIAGET, que teve por objetivo conhecer os fatores influenciam a interatividade nos ambientes virtuais aprendizagem dois Cursos Pós-Graduação. A pesquisa caracterizou-se pelo caráter qualitativo, descritivo, levantamento bibliográfico, campo apoio relatos alunos professores dos cursos estudo. Os objetivos da visam conceituar aprendizagem, identificar indicar alternativas para ambiente virtual se torne mais...

Marketing metrics are a way of proving the result marketing efforts and ensure its relevance inside companies. Big Data can be an opportunity for to gain even more importance since access greater volume information makes possible develop new metrics. The present paper verifies if this is reality on departments, department involved in developing or reporting metrics, use Data. To achieve goal, first, we premises from literature so that, after, confront it with reality, captured by interviews...

Energy consumption prediction is essential to most human activities worldwide. Despite this importance, running these predictions at scale using low-cost data and methods takes time effort. This research contributes the energy literature by analyzing which estimation method (traditional vs. machine learning) spatial-temporal resolution best when nightlight satellite imagery data. We also contribute providing out-of-sample evidence of each model’s differences from previous studies focusing on...