Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services

Detalhes bibliográficos
Autor(a) principal: Mangini, Eduardo Roque
Data de Publicação: 2023
Outros Autores: Silva, Rayssa Gabrielly, Lopes, Luisa, Esteves, Salete
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Consumer Behavior Review
Texto Completo: https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/254499
Resumo: The tremendous rise of demand for streaming services in the last decade, and during the pandemic COVID-19, has brought hope of a promising future for companies of this sector, where the determinants of customer satisfaction and loyalty are still to be fully understood. The empirical study presented in this paper seeks, as the primary goal, to analyze the factors that influence consumers’ loyalty to a streaming service. Seeking to answer the outlined research question, two types of sources were used in the present investigation: primary and secondary. Concerning the primary sources, quantitative research was used, with the convenience sampling technique for data collection, and a questionnaire that was applied online using institutional emails and social media (Facebook, Instagram, and Whatsapp). The data (n= 205) were analyzed using Structural Equation Modeling. From the results obtained, it is possible to conclude that the main factors influencing loyalty towards a streaming platform are: perceived quality, ease of use, performance expectancy, and satisfaction.  The analysis revealed a predictive validity of the three factors with satisfaction and, through this, to loyalty.
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spelling Assessing the effects of technology adoption model on satisfaction and loyalty in streaming servicesAvaliação dos efeitos do modelo de adoção de tecnologia na satisfação e lealdade em serviços de streamingstreaming servicesperceived qualityease of useperformance expectancysatisfactionserviços de streamingqualidade percebidafacilidade de usoexpectativa de desempenhosatisfaçãoThe tremendous rise of demand for streaming services in the last decade, and during the pandemic COVID-19, has brought hope of a promising future for companies of this sector, where the determinants of customer satisfaction and loyalty are still to be fully understood. The empirical study presented in this paper seeks, as the primary goal, to analyze the factors that influence consumers’ loyalty to a streaming service. Seeking to answer the outlined research question, two types of sources were used in the present investigation: primary and secondary. Concerning the primary sources, quantitative research was used, with the convenience sampling technique for data collection, and a questionnaire that was applied online using institutional emails and social media (Facebook, Instagram, and Whatsapp). The data (n= 205) were analyzed using Structural Equation Modeling. From the results obtained, it is possible to conclude that the main factors influencing loyalty towards a streaming platform are: perceived quality, ease of use, performance expectancy, and satisfaction.  The analysis revealed a predictive validity of the three factors with satisfaction and, through this, to loyalty.O enorme aumento da demanda por serviços de streaming na última década, e durante a pandemia COVID-19, trouxe esperança de um futuro promissor para as empresas deste setor, onde os determinantes da satisfação e lealdade do cliente ainda não foram totalmente compreendidos. O estudo empírico apresentado neste artigo, tem como objetivo principal, analisar os fatores que influenciam a lealdade dos consumidores em um serviço de streaming. Procurando responder à questão de investigação, foram utilizados dois tipos de fontes: primária e secundária. No que respeita às fontes primárias, foi utilizada uma pesquisa quantitativa, recolhendo os dados com a técnica de amostragem por conveniência, usando um questionário aplicado online através de e-mails institucionais e redes sociais (Facebook, Instagram e Whatsapp). Os dados (n= 205) foram analisados utilizando a Modelagem de Equações Estruturais. Perante os resultados obtidos, é possível concluir quais são os principais fatores que influenciam a lealdade em relação a uma plataforma de streaming, a saber: qualidade percebida, facilidade de uso, expectativa de desempenho e satisfação. A análise realizada revelou a validade preditiva dos três fatores e da satisfação, e através desta, da lealdade.Universidade Federal de Pernambuco2023-05-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionquantitative research; structural equation modelingapplication/pdfhttps://periodicos.ufpe.br/revistas/index.php/cbr/article/view/25449910.51359/2526-7884.2023.254499CBR - Consumer Behavior Review; Vol. 7 No. 1 (2023): january-decemberCBR - Consumer Behavior Review; v. 7 n. 1 (2023): january-december2526-7884reponame:Consumer Behavior Reviewinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEenghttps://periodicos.ufpe.br/revistas/index.php/cbr/article/view/254499/43996Copyright (c) 2023 CBR - Consumer Behavior Reviewinfo:eu-repo/semantics/openAccessMangini, Eduardo RoqueSilva, Rayssa GabriellyLopes, LuisaEsteves, Salete2023-06-22T13:34:17Zoai:oai.periodicos.ufpe.br:article/254499Revistahttps://periodicos.ufpe.br/revistas/cbrPUBhttps://periodicos.ufpe.br/revistas/cbr/oaicbr@ufpe.br||periodicos.ufpe@ufpe.br2526-78842526-7884opendoar:2023-06-22T13:34:17Consumer Behavior Review - Universidade Federal de Pernambuco (UFPE)false
dc.title.none.fl_str_mv Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
Avaliação dos efeitos do modelo de adoção de tecnologia na satisfação e lealdade em serviços de streaming
title Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
spellingShingle Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
Mangini, Eduardo Roque
streaming services
perceived quality
ease of use
performance expectancy
satisfaction
serviços de streaming
qualidade percebida
facilidade de uso
expectativa de desempenho
satisfação
title_short Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
title_full Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
title_fullStr Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
title_full_unstemmed Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
title_sort Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
author Mangini, Eduardo Roque
author_facet Mangini, Eduardo Roque
Silva, Rayssa Gabrielly
Lopes, Luisa
Esteves, Salete
author_role author
author2 Silva, Rayssa Gabrielly
Lopes, Luisa
Esteves, Salete
author2_role author
author
author
dc.contributor.author.fl_str_mv Mangini, Eduardo Roque
Silva, Rayssa Gabrielly
Lopes, Luisa
Esteves, Salete
dc.subject.por.fl_str_mv streaming services
perceived quality
ease of use
performance expectancy
satisfaction
serviços de streaming
qualidade percebida
facilidade de uso
expectativa de desempenho
satisfação
topic streaming services
perceived quality
ease of use
performance expectancy
satisfaction
serviços de streaming
qualidade percebida
facilidade de uso
expectativa de desempenho
satisfação
description The tremendous rise of demand for streaming services in the last decade, and during the pandemic COVID-19, has brought hope of a promising future for companies of this sector, where the determinants of customer satisfaction and loyalty are still to be fully understood. The empirical study presented in this paper seeks, as the primary goal, to analyze the factors that influence consumers’ loyalty to a streaming service. Seeking to answer the outlined research question, two types of sources were used in the present investigation: primary and secondary. Concerning the primary sources, quantitative research was used, with the convenience sampling technique for data collection, and a questionnaire that was applied online using institutional emails and social media (Facebook, Instagram, and Whatsapp). The data (n= 205) were analyzed using Structural Equation Modeling. From the results obtained, it is possible to conclude that the main factors influencing loyalty towards a streaming platform are: perceived quality, ease of use, performance expectancy, and satisfaction.  The analysis revealed a predictive validity of the three factors with satisfaction and, through this, to loyalty.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
quantitative research; structural equation modeling
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/254499
10.51359/2526-7884.2023.254499
url https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/254499
identifier_str_mv 10.51359/2526-7884.2023.254499
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/254499/43996
dc.rights.driver.fl_str_mv Copyright (c) 2023 CBR - Consumer Behavior Review
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 CBR - Consumer Behavior Review
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Pernambuco
publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.source.none.fl_str_mv CBR - Consumer Behavior Review; Vol. 7 No. 1 (2023): january-december
CBR - Consumer Behavior Review; v. 7 n. 1 (2023): january-december
2526-7884
reponame:Consumer Behavior Review
instname:Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
instname_str Universidade Federal de Pernambuco (UFPE)
instacron_str UFPE
institution UFPE
reponame_str Consumer Behavior Review
collection Consumer Behavior Review
repository.name.fl_str_mv Consumer Behavior Review - Universidade Federal de Pernambuco (UFPE)
repository.mail.fl_str_mv cbr@ufpe.br||periodicos.ufpe@ufpe.br
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