Collaborative Rideshare in Virtual Communities: The Role of the Conscience of Collectivism and Discontent with Public Transport Services

Authors

DOI:

https://doi.org/10.23925/2178-0080.2021v23i2.49919

Keywords:

Collaborative Ride, Collaborative Consumption, Virtual Communities, Collective Awareness, Discontent with Services

Abstract

This research sought to identify the influence that Collective Awareness (CC) and Discontent with Public Transport Services (DSTP) can generate on the intention to participate in collaborative rides in virtual communities. Thus, the quantitative descriptive and inferential approach was used, with the online survey as a strategy for applying structured questionnaires, reaching of 129 participants, validated according to the research criteria. Therefore, the data were verified through multiple regression analysis, identifying that of the two constructs pointed out in the theoretical model as possible influencers; even considering existing negative factors of the DSTP, only the CC presented a significant result in the intention to participate. This research investigated a phenomenon little studied in collaborative consumption in the social and market context. The information presented helps to understand the behavior of this public and meet their needs by the service sectors.

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Author Biography

Álison Lima Macêdo, Universidade Federal de Pernambuco - UFPE

Mestrando em Gestão, Inovação e Consumo pela Universidade Federal de Pernambuco, formado em Design pela mesma instituição. Possui experiência na área de Design com ênfase em Moda. Atua principalmente em atividades e pesquisas relacionadas à modelagem e à moulage, ao consumo de moda, além das práticas comportamentais do consumidor na contemporaneidade.

References

Allison, N.K. (1978). A Psychometric Development of a Test for Consumer Alienation from the Marketplace. Journal of Marketing Research, 15, 565-575.

Arasaki, P. K., Cisne, C., Ueno, A., Santos, N. (2016). Contribuições da carona solidária no processo de compartilhamento do conhecimento. NAVUS - Revista de Gestão e Tecnologia, 6, 40-55.

Arruda, H. R., Bandeira, E. L., Silva, A. L. L., Rebouças, S. M. D. (2016). Consumo colaborativo e valores pessoais: o caso da bicicleta compartilhada. Revista Brasileira de Marketing, Vol. 15, N. 5., 683-698.

Babbie, E. (1999). Métodos de pesquisas de survey. Belo Horizonte: Editora da UFMG.

Bachmann, F., Hanimann, A., Artho, J., Jonas, K. (2018). What drives people to carpool? Explaining carpooling intention from the perspectives of carpooling passengers and drivers. Transportation Research Part F, 59, 260-268.

Belk, R. (2014). You are what you can access: Sharing and collaborative consumption online. Journal of Business Research,1595–1600.

Börjesson, M., Rubensson, I. (2019). Satisfaction with crowding and other attributes in public transport. Transport Policy, 1- 25.

Chan, K. W., Yim, C. K., & Lam S. S.K. (2010), "Is Customer Participation in Value Creation a Double-Edged Sword? Evidence from Professional Financial Services Across Cultures. Journal of Marketing, 74 (3), 48-64.

Chen, X., Deng, H. (2019). A correlation analysis of information use, social networks and cooperation consciousness in travel behaviors. Transportation Research Part F: Traffic Psychology and Behaviour, 819-832.

Chica-Olmo, J., Gachs-Sánchez, H., Lizarraga, C. (2017). Route effect on the perception of public transport services quality. Transport Policy, 1-9.

Choi, T., He, Y. (2019). Peer-to-peer collaborative consumption for fashion products in the sharing economy: Platform operations. Transportation Research Part E: Logistics and Transportation Review, 49-65.

Fávero, L. P., Belfiore, P., Silva, F. L. & Chan, B. L. (2009). Análise de dados: modelagem multivariada para tomada de decisões. Rio de Janeiro: Elsevier.

Fetscherin, Marc. (2019). The five types of brand hate: How they affect consumer behavior. Journal of Business Research, 101, 116-127.

Gil, A. C. (2008). Métodos e técnicas de pesquisa social (6ª ed.) São Paulo: Atlas.

Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., Tatham, R. L. (2009). Análise Multivariada de Dados (6ª ed.). Porto Alegre: Bookman.

Hu, H., Zhang, J., Wang, C., Yu, P., Chu, G. (2019). What influences tourists' intention to participate in the Zero Litter Initiative in mountainous tourism areas: A case study of Huangshan National Park, China. Science of the Total Environment, 657, 1127-1137.

Iran, S., Geiger, A. M., Schrader, U. (2018). Collaborative Fashion Consumption – A Cross Cultural Study between Tehran and Berlin. Journal of Cleaner Production. 212, 313-323.

Lang, C., Armstrong, C. M. J. (2017). Collaborative Consumption: The Influence of Fashion Leadership, Need for Uniqueness, and Materialism on Female Consumers’ Adoption of Clothing Renting and Swapping. Sustainable Production and Consumption, 13, 37-47.

Lemarié, L., Bellavance, F., Chebat, Jean-Charles. (2019). Regulatory focus, time perspective, locus of control and sensation seeking as predictors of risky driving behaviors. Accident Analysis and Prevention, 19-27.

Leeuw, E. D., Hox, J. J., & Dillman, D. A. (2008). Mixed-mode surveys: When and why. International handbook of survey methodology, 299-316.

Lima, S. H., Lima, D. S., Araújo, F. S., Leocádio, A. L. (2018) Materialismo, Individualismo Y Consumo Colaborativo En Turismo. Una investigación sobre los usuarios de Airbnb en Brasil. Estudios y Perspectivas en Turismo, 27, 24 – 42.

Liu, X., Yan, X. Liu, F., Wang, R., Leng, Y. (2019). A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data. Applied Energy, 295-311.

Malhotra, N. K. (2019). Pesquisa de Marketing - Uma Orientação Aplicada (7 ed.) Porto Alegre: Bookman.

Nordfjærn, T., Rundmo T. (2018). Transport risk evaluations associated with past exposure to adverse security events in public transport. Transportation Research Part F, 14-23.

Park, N., Yang, A. (2012). Online environmental community members’ intention to participate in environmental activities: An application of the theory of planned behavior in the Chinese context. Computers in Human Behavior, 28, 1298-1306.

Pizzol, H. O. D. (2015). Proposição de uma escala para mensuração do consumo colaborativo: compreendendo o compartilhamento de bens e a sua relação com os valores pessoais. (Dissertação de mestrado), PUC-RS, Porto Alegre-RS, Brasil.

Presbitero, A., Monterola, C. (2018). Challenging the evolution of social cooperation in a community governed by central control. Revista Physica A, 511, 378-388.

Vera, L. A. R., Gosling, M. S. (2017) Economia Compartilhada no Turismo: Uma Discussão Teórica Sobre o Consumo Colaborativo e o Compartilhamento. REEN- Revista Eletrônica de Estratégia & Negócios, 10 (1), 227-251.

Wang, Rui. (2011). Shaping carpool policies under rapid motorization: the case of Chinese cities. Transport Policy, 18, 631-635.

Youngdahl, W. E., Kellogg, D. L., Nie, W., Bowen, D. E. (2003). Revisiting customer participation in service encounters: does culture matter? Journal of Operations Management, 21, 109-120.

Zhang, Z., Huang, H., Tang, T. (2018). Impacts of preceding information on travelers’ departure time behavior. Physica A, 523–529.

Published

2021-05-05

How to Cite

Macêdo, Álison L., Pinheiro, E. M., Filho, J. M. P., & Costa, M. F. (2021). Collaborative Rideshare in Virtual Communities: The Role of the Conscience of Collectivism and Discontent with Public Transport Services. Management in Dialogue Review, 23(2), 78–96. https://doi.org/10.23925/2178-0080.2021v23i2.49919