The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal

Palos-Sánchez, Pedro R.; Correia, Marisol B.

doi:10.4067/s0718-18762018000300105

Cited by 49 publications

(35 citation statements)

References 41 publications

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“…Examples of possible policies include taxation systems favouring sustainable choices, science-based decision-making or leading by example. The results of the study could also be linked to the managerial use of sustainable factors [42] or collaborative economy analyses [43]. In the EU level, the potential savings are even higher.…”

Section: Electric Transportationmentioning

confidence: 93%

The Economic Potential to Support Sustainability through Household Consumption Choices

et al. 2018

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The amount of money that could potentially be saved by households by reducing unnecessary consumption and directed to sustainable investments without compromising the social needs in Finnish households was studied. The study was conducted by using statistical data and by creating short-and long-term scenarios to assess potential savings resulting from changes in household behaviour. According to the results, a Finnish household could save and subsequently allocate an average of €3400-€15,000 annually to invest in sustainability. The greatest potential for preventing unnecessary consumption is related to (1) food and drinks, and (2) transportation. In the long-term scenario, reducing expenditures in the category of housing also provides opportunities for high savings. A significant share of the saving created by sustainable patterns of consumption can be directed for example to investments in renewable energy.

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Section: Electric Transportationmentioning

confidence: 93%

The Economic Potential to Support Sustainability through Household Consumption Choices

et al. 2018

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“…However, there would not be a collaborative economy, as we know it, without the appearance of the web 2.0 technology. Hence, it is the result of taking out of the digital environment the culture created on the Internet for the last fifteen years [36].…”

Section: Related Workmentioning

confidence: 99%

Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study

et al. 2019

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Currently, the digital economy contributes decisively to an increase in competitiveness, especially as a digital transformation involves migrating to new technological models where digital marketing is a key part of growth and user loyalty strategies. Internet and Digital Marketing have become important factors in campaigns, which attract and retain Internet users. This study aims to identify the main ways in which users can be gained and retained by using Digital Marketing. The Delphi method with in-depth interviews was the methodology used in this study. The results of the research show the most important actions for achieving user recruitment and loyalty with Digital Marketing from the opinions of consulted experts. The limitations of this study are those related to the number of experts included in the study, and the number of research papers consulted in the literature review. The literature review and the results of this research are used to propose new solid research with a consolidated critical methodology. This research deals with a new approach that will optimize web technologies for the evolution of user trends, and therefore, will be of academic and professional use for marketing managers and web solution developers. The conclusions of the investigation show the key factors, discarding others that do not affect the optimization of conversions in B2C businesses such as the duration of the session and the rebound percentage. Likewise, the results of the research identify the specific actions that must be carried out to attract and retain users in B2C companies that use the Digital Marketing ecosystem on the Internet. The requirements for companies that wish to implement a model to optimize conversions using the current digital economy are also shown.

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“…This collaboration is enabled by the use of technology, and the mutual relationship between the entities involved requires each party to contribute to the relationship, either with knowledge, money, services or other input. Since the sharing economy is supported by the development of web services, it has been argued that the sharing economy is part of the digital economy, and it is growing rapidly with global expansion [22]. Collaborative consumption is defined as "the use of online marketplaces and social networking technologies to facilitate mutual sharing of resources in terms of space, money, goods, skills and services between individuals, who maybe both producers and consumers".…”

Section: The Rise Of the Sharing Economymentioning

confidence: 99%

Sub-Network Structure and Information Diffusion Behaviors in a Sustainable Fashion Sharing Economy Platform

Kang

Jeong

2019

Sustainability

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It is important to understand the creative processes of social value networks in terms of the interdependent connections between fashion sharing economy businesses and consumers. In particular, when the similarity in the values of each member is shared in the sub-network, the closeness of the relationships can be further strengthened. In such value chains, the overall process is important because the content, which is originally provided through the distribution process, is reinterpreted from the consumer’s point of view and it is reproduced as new creative output with high added value. In this study, the characteristics of sub-network structure, the characteristics of social relations, and network externality are proposed and analyzed as influential variables of information diffusion behaviors that explain the diffusion of shared information in fashion sharing economy platforms. We examined the shared information diffusion performance of the sharing economy platform as a multidimensional influential factor including the network characteristics, and proposed a structural model that integrated network research and mobile information diffusion research. We surveyed 400 people with experience of fashion information activity on sharing economy platforms. Frequency, validity, reliability, measurement model and path analyses were conducted using SPSS and AMOS statistical packages. The results showed that trust value, profit/risk sharing, interdependence, and cultural/social similarity of the sub-network structure characteristics affected social relations, while trust value and cultural/social similarity also influenced relational embeddedness. Social relations and relational embeddedness, in turn, affected perceived complementarity and social interaction, both of which affected fashion information diffusion behaviors. Finally, social pressure, social ties, and social unity affected trust values. The results of this study can be applied not only to social connections among the members of the sub-network of a fashion sharing economy platform, but also as an effective means to explain the maintenance and reinforcement of mutual relations, thereby advancing the current academic research and practical applications.

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The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal

Cited by 49 publications

References 41 publications

The Economic Potential to Support Sustainability through Household Consumption Choices

The Economic Potential to Support Sustainability through Household Consumption Choices

Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study

Sub-Network Structure and Information Diffusion Behaviors in a Sustainable Fashion Sharing Economy Platform

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