Exploring innovation diffusion through search trends: methodology, empirical evidence, and comparative perspectives

• Autor(a) principal: Takahashi, Carlos Kazunari
• Data de Publicação: 2023
• Tipo de documento: Tese
• Idioma: eng
• Título da fonte: Biblioteca Digital de Teses e Dissertações da ESPM
• Texto Completo: http://tede2.espm.br/handle/tede/695
• topic: difusão de inovações; mecanismos de busca; modelo de difusão de bass; inovação; gestão da inovação; innovation diffusion; search engines; bass diffusion model; innovation; innovation management; CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO

The development of computational infrastructure in the digital age has spawned a new paradigm that enables the storage and processing of data generated by human interaction with computer systems. This phenomenon, digital footprints, encompasses various explorable data sources, such as Search Trends. This approach involves collecting and analyzing data from people's interactions with search engines such as Google, Baidu, Naver, and Yandex, resulting in information about the search trends of a particular population. Although its use in social and economic analysis began in 2011, greater rigor in its application and further investigation of its limitations as a subject for innovation studies are required. Consequently, this thesis aims: to define methodological procedures for the use of Search Trends, empirically test them in the diffusion of new technologies, and compare them to other data sources used for the diffusion of interest in innovation. To achieve this objective, the thesis presents (1) a theoretical review of the use of search engines in administration, (2) a discussion and proposal of a formal protocol for the use of this data in research, (3) an empirical application of this protocol in a comparative study between BRICS and OECD countries, and (4) a comparative analysis of the diffusion of innovations using traditional data sources.