Crowdsourcing: impactos na performance na venda de produtos

• Ano de defesa: 2015
• Autor(a) principal: Alves, Milton Ruiz Rodrigues
• Orientador(a): Joao, Belmiro do Nascimento
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica de São Paulo
• Programa de Pós-Graduação: Programa de Estudos Pós-Graduados em Administração
• Departamento: Faculdade de Economia, Administração, Contábeis e Atuariais
• País: BR
• Palavras-chave em Português: Inovação aberta
• Palavras-chave em Inglês: Crowdsourcing; Crowd Voting; Open innovation
• Área do conhecimento CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
• Link de acesso: https://tede2.pucsp.br/handle/handle/1134

In the current time of information, we live in times that the expectations of thinkers as Lévy (1998) have become a reality. The profile of the consumer has changed as he connected with other consumers and begun to demand that there is a dialogue between the company and society. This new scenario required that technology was further developed and that the process of communication was made faster by means of online platforms that make the exchange of information viable and encourages it. The crowdsourcing arose with the availability of the crowd s intellectual capital that has changed the way companies interact and organize themselves as they come to realize the strategic importance of this information. In order to fully understand this new scenario, we have created three hypothesis that have served as guide for this paper, which are: H1 Crowdsourcing affects products performance; H2 negative reviews from crowd voting provide the same effects that positive reviews; and H3- Crowd voting provides information about consumer`s perception of the product being offered. Therefore, this paper aims to understand if the crowdsourcing affects product s performance of the companies that use crowdsourcing by analyzing the theoretical basis of crowdsourcing and also by reviewing a data-base with reviews made by consumers during a four year period. In addition, this work also aims at raising questions for new researches that may develop further the understanding of the effects of the crowdsourcing. Based on the review of the correlations between the variables obtained in Amazon s data base and the analysis of the feelings used in the word clouds based on the reviews offered by the consumers, this work suggests that the crowdsourcing does affect the product s performance