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Resumo
Online purchases can support environmental sustainability by reducing the number of shopping trips. The purpose of this article is to understand how online convenience may be used to increase online purchase intention and therefore contribute to environmental sustainability. Employing a snowball sampling technique data from 226 Chinese respondents were used with Least Squares Structural Equation Modelling (PLS-SEM) to test the research hypotheses. Findings suggest that customers with experience have a strong effect on the relationship between service convenience and customer satisfaction. It is also found that satisfied customers desired to stay longer and are willing to pay more. From a theoretical point of view, this study fills several gapes by extending previous work that investigates the impact of online convenience on customer satisfaction and behavioral intention by revealing the novelty impact on the willingness to pay and desire to stay. From a managerial standpoint, the findings help managers considering doing businesses or planning to do businesses in China and for companies committed to reducing their carbon footprint in understanding how they can use online convenience to stimulate online purchases among their clients and consequently becoming more environmentally friendly and socially responsible.
| Idioma original | English |
|---|---|
| Páginas (de-até) | 7251-7272 |
| Número de páginas | 22 |
| Revista | Environment, Development and Sustainability |
| Volume | 23 |
| Número de emissão | 5 |
| DOIs | |
| Estado da publicação | Publicado - mai. 2021 |
ODS da ONU
Este resultado contribui para o(s) seguinte(s) Objetivo(s) de Desenvolvimento Sustentável
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Mergulhe nos tópicos de investigação de “Supporting sustainability by promoting online purchase through enhancement of online convenience“. Em conjunto formam uma impressão digital única.Projetos
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CEGE: Research Center in Management and Economics
Silva, M. (Professor Catedrático), Sousa, R. (Professor Catedrático), Alves, P. (Professor Auxiliar), Madsen, A. (Professor Auxiliar Convidado), Lourenço, A. (Professor Associado), Carvalho, A. S. (Professor Associado), Andrade, A. (Professor Auxiliar), Silva, P. D. (Professor Associado), Vlačić, B. (Professor Auxiliar Convidado), Martins, C. (Professor Auxiliar Convidado), Gomes, C. (Investigador Auxiliar), Gevrek, Z. E. (Professor Auxiliar Convidado), Oliveira, F. G. D. (Professor Associado), Faria, G. (Professor Associado Convidado), Marreiros, H. (Bolseiro), Pinho, J. (Professor Auxiliar Convidado), Machado, J. (Professor Associado), Araújo, J. (Investigador Auxiliar), Pinto, J. (Professor Auxiliar), Rego, A. (Professor Catedrático), Gaspar, J. M. (Investigador Auxiliar), Corbo, L. (Professor Auxiliar Convidado), Costa, L. (Professor Associado), Fernandes, L. (Professor Auxiliar), Sottomayor, M. (Professor Auxiliar), Martins, N. (Professor Catedrático), Hernández-Marrero, P. (Investigador Auxiliar), Gonçalves, R. (Professor Associado), Ribeiro, R. (PI), Coelho, S. L. (Docente Assistente), Pereira, S. M. (Investigador Auxiliar), Silva, S. (Professor Associado), Rodrigues, V. (Professor Associado), Sotiros, D. G. (Investigador Auxiliar), Valverde, C. (Professor Auxiliar), Leitão, A. (Professor Auxiliar), Julião, J. (Professor Auxiliar), Tavares, M. (Professor Auxiliar), Lages, C. R. (Investigador Auxiliar), Elmashhara, M. G. (Investigador Auxiliar) & Teymourifar, A. (Investigador Auxiliar)
1/01/20 → 31/12/24
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