Value proposition operationalization in peer-to-peer platforms using machine learning

Henríquez, José Manuel Ramos; Taño, Desiderio Gutiérrez; Armas, Ricardo Jesús Díaz

doi:10.1016/j.tourman.2021.104288

Cited by 12 publications

(9 citation statements)

References 45 publications

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“…The sharing economy promotes the active participation and collaboration of various stakeholders in business operations, catalyzing the evolution of innovative business models (Akter et al, 2022; Ramos‐Henríquez et al, 2021). This multistakeholder collaboration is a key factor for the sustained growth of the sharing economy (Nadeem & Salo, 2023; Schiavone et al, 2021; Zeng, 2022).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Value co‐creation in the sharing economy: Revisiting the past to inform future

Vasil M,

Chopdar,

Buhalis

et al. 2024

Psychology and Marketing

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The objective of this study is to provide an integrated view of the body of knowledge of value co‐creation in the sharing economy in terms of the topical content and the research background. To this end, this study conducts a systematic literature review guided by the SPAR‐4‐SLR protocol. Leveraging the integrated ADO‐TCM framework, the review identifies 39 antecedents under 3 categories, 7 decision constructs, and 18 outcome constructs related to value co‐creation, as well as the prevalent theories, contexts, and methods explored in this domain. The review exposes several research gaps and offers insightful future research pathways that are directed toward theory, context, and method. These pathways can serve as a guide to strengthen and advance the theoretical, contextual, and methodological foundations of future research, contributing to the sustained evolution of the domain.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Value co‐creation in the sharing economy: Revisiting the past to inform future

Vasil M,

Chopdar,

Buhalis

et al. 2024

Psychology and Marketing

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“…As such, we can define a series of improvements that can be made to the smart tourism system to give the decision-maker of a tourism system a better tool.Apply prediction to temporal data. Using machine-learning techniques, it is possible to predict what the data will be like in the future (Ramos-Henríquez et al. , 2021; Martín et al.…”

Section: Conclusion Limitations and Future Linesmentioning

confidence: 99%

“…Apply prediction to temporal data. Using machine-learning techniques, it is possible to predict what the data will be like in the future (Ramos-Henríquez et al. , 2021; Martín et al.…”

Section: Conclusion Limitations and Future Linesmentioning

confidence: 99%

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Strategic technological determinant in smart destinations: obtaining an automatic classification of the quality of the destination

Díaz-González

Torres

Parra-López

et al. 2022

IMDS

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PurposeSmart tourist destinations (STDs) make use of new technologies to facilitate and improve the experience of tourists. So why not use these technologies to efficiently manage the destination? The aim of this work is to define and implement a methodology that provides value to STDs by defining their most important characteristics to monitor and quantify them automatically in real time.Design/methodology/approachThe authors developed a conceptual framework to the smart tourism approach presented in previous studies, the latest technologies and the application of the smart tourism system (STS). Based on the focus group method with stakeholders from the tourism industry of the Spanish tourist municipality of Puerto de la Cruz, they defined the main KPIs for a municipal STD. Likewise, the authors specified the necessary technologies to obtain, manage and represent the data, and the method for quantifying the quality of the STD by using the AHP method. Lastly, they implemented the framework for the aforementioned municipality.FindingsThe implementation in a real context of the STS proposed for Puerto de la Cruz demonstrates its validity and the possibility of adapting it to any other municipal destination. In addition, the authors corroborate how this STS improves on other versions.Originality/valueThis paper provides a theoretical methodology to improve STD management and implements it. Other studies have focused only on the theoretical aspect. Moreover, automated management tools are emerging for STDs, but they lack the quality provided by the scientific approach employed herein.

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“…Interesting research results in this area are presented by E. Parga Dans and P. Alonso González [49], who distinguish a different group of four values: existential, aesthetic, economic and legacy. While J. M. Ramos-Henríquez et al [50] notice that the peer-to-peer platform value proposition can be decomposed into three components: shared resources, the value package and communications.…”

Section: Value Proposition and Its Distributionmentioning

confidence: 99%

Value Propositions in Heritage Tourism Site Business Models in the Context of Open Innovation Knowledge Transfer

Szromek

2022

Journal of Open Innovation: Technology, Market, and Complexity

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This article discusses the structures of value propositions in cultural heritage tourism site business models in the context of the concept of open innovation. The objective of the study is to identify value propositions in tourism sites and the tendency of managers to use open innovation. The analysis was based on the example of European cultural heritage tourism sites associated with the European Route of Industrial Heritage. The research process included literature analysis and empirical research in the form of interviews conducted with managers of 73 sites. The research allowed for identifying 16 key values observed in the business models of cultural heritage tourism sites and then classify them into three groups, i.e., values proposed to the customer, values captured by the enterprise and social values. The following values were of the highest importance: promotion of historical industrial heritage, satisfying cognitive needs, acting as a symbol of the area, brand strengthening and organization of tourist traffic, so that the industrial heritage is preserved. It was noticed that some values were significantly correlated with the attitudes of managers towards the exchange of knowledge within open innovation. The majority of managers participating in the research were convinced that the revitalization of cultural heritage sites and the business models of these sites should be in the form of open innovation. The limitation of the research carried out is the inability to deepen the interviews, which was caused by the lack of direct contact with managers due to the COVID-19 pandemic.

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Value proposition operationalization in peer-to-peer platforms using machine learning

Cited by 12 publications

References 45 publications

Value co‐creation in the sharing economy: Revisiting the past to inform future

Value co‐creation in the sharing economy: Revisiting the past to inform future

Strategic technological determinant in smart destinations: obtaining an automatic classification of the quality of the destination

Value Propositions in Heritage Tourism Site Business Models in the Context of Open Innovation Knowledge Transfer

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