2023
DOI: 10.3390/su15065583
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Managing Sustainable Sharing Economy Platforms: A Stimulus–Organism–Response Based Structural Equation Modelling on an Emerging Market

Abstract: Due to the rising appeal of travel, as well as the appearance of low-cost carriers that fly to both popular and exotic destinations, people nowadays tend to book their accommodation through the more convenient and flexible sharing economy platforms. The success of such platforms among consumers depends on various factors, such as satisfaction and platform credibility, and on sustainable performance among contributors, increasing their relevance and visibility. This research proposes a conceptual model for meas… Show more

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Cited by 12 publications
(9 citation statements)
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References 136 publications
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“…Big data management and neural network algorithms, geospatial simulation and data mining tools, and deep learning-based geospatial mapping and object detection technologies (Andronie et al, 2023a;Dabija et al, 2022;Grupac et al, 2023) configure fintech-based banking management in extended reality environments, building consumer trust. Big data and environment mapping algorithms and sensing and computing technologies (Andronie et al, 2023b;Dabija et al, 2023;Ionescu, 2022;Peters et al, 2023) articulate cloud-based sustainable economic growth and low-carbon fintech. Robotic wireless sensor networks, geospatial mapping tools, computer vision and geospatial big data management algorithms, and deep learning-assisted smart process planning (Barbu et al, 2021;Gordon, 2022;Lăzăroiu et al, 2022) assist AI IoT-based fintech innovations, shaping customer experiences in the blockchain-based metaverse.…”
Section: Discussionmentioning
confidence: 99%
“…Big data management and neural network algorithms, geospatial simulation and data mining tools, and deep learning-based geospatial mapping and object detection technologies (Andronie et al, 2023a;Dabija et al, 2022;Grupac et al, 2023) configure fintech-based banking management in extended reality environments, building consumer trust. Big data and environment mapping algorithms and sensing and computing technologies (Andronie et al, 2023b;Dabija et al, 2023;Ionescu, 2022;Peters et al, 2023) articulate cloud-based sustainable economic growth and low-carbon fintech. Robotic wireless sensor networks, geospatial mapping tools, computer vision and geospatial big data management algorithms, and deep learning-assisted smart process planning (Barbu et al, 2021;Gordon, 2022;Lăzăroiu et al, 2022) assist AI IoT-based fintech innovations, shaping customer experiences in the blockchain-based metaverse.…”
Section: Discussionmentioning
confidence: 99%
“…As a result of the outbreak of the COVID-19 virus, a very large number of employees in the tertiary activity sector (tourism) struggled with remarkably increased levels of job turnover nationally and globally [44]. Among the most affected industries during the economic and health crisis between 2020 and 2022 was home-sharing, also known as collaborative tourism [45], to which transit tourism, event and festival tourism, and cultural tourism can be added. The only hope for tourism growth during the COVID-19 pandemic was represented by the online platforms [46], which significantly contributed to the recovery, decongestion, and revitalization of the tourism and hospitality industry between 2020 and 2023.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, the SOR model is considered an important paradigm for exploring how humans respond to stimuli. SOR model has been used to identify factors influencing consumers' innovative green product adoption behavior [32], to measure the success of sharing economy platforms in tourism [33], and a framework for understanding how gamification influences customers' intentions to book eco-friendly hotels [34]. In the context of our study, we predict that the higher the customers' positive interaction experiences with the gamified mobile apps, the higher the perceived value (hedonic and utilitarian values) and behavioral intentions.…”
Section: Theoretical Framework and Hypothesesmentioning
confidence: 99%