Assessing the effects of technology adoption model on satisfaction and loyalty in streaming services
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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Consumer Behavior Review |
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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 |
_version_ |
1797220396130369536 |