Exploring the influencing factors of sharing economy sustainability based on a two-mode social network analysis

Cui, Li; Hou, Yingkun; Gao, Meihua; Yang, Yixin

doi:10.1109/icsssm.2019.8887647

Cited by 4 publications

(3 citation statements)

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“…A more comprehensive description was provided by [22], where they defined sharing economy as a P2P environment that enables a person to be a client and a provider at the same time. The sharing economy facilitates social participation and cooperative consumption which in turn supports protecting the environment, minimizing resource waste, and enhancing community awareness [4]. The sharing economy covers five main areas: product-service systems, redistribution markets, collaborative lifestyles, access-based consumption, and commercial sharing systems.…”

Section: A Sharing Economymentioning

confidence: 99%

“…The sharing economy had provided the necessary services in different qualities and prices 24/7 in order to provide suitable services to fulfill individual needs and cater to a different level of purchasing power. As a result, consumption and production sustainability have been accelerated [4]. The concept of the sharing economy has been applied in different fields including, shared mobility, hospitality, on-demand staffing, and media streaming.…”

Section: Introductionmentioning

confidence: 99%

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What Drives Airbnb Customers’ Satisfaction in Amsterdam? A Sentiment Analysis

Madhi¹,

Alhammad²

2021

IJACSA

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The sharing economy is a new socio-economic system that allows individuals to rent out their personal belongings, such as their private car or a room in their home, for a short period. This study aims to investigate the attributes that impact customers' satisfaction when using the sharing economy propriety rentals websites. Large data sets of Airbnb's online reviews and listings in Amsterdam were analyzed using sentiment analysis, word clustering, ordinal logistic regression, and visualization techniques. Findings reveal that the polarity of Airbnb guests reviews in Amsterdam is significantly impacted by property price, value, cleanliness, rate, host communication, easiness of check-in, the accuracy of property description, and whether the host is super host or not. Surprisingly, the property neighborhood was not found to impact customers' sentiment in Amsterdam. In addition, Airbnb guests in Amsterdam tend to positively express their experience satisfaction level mainly based on property exact location and host interaction followed with the facilities surrounding the property, property cleanliness, and room quality. On the other hand, negative online reviews tend to be mainly linked to problems with check-in services followed by aspects related to weak host interaction, location, and room quality. The results indicate that Airbnb hosts need to offer clear and easy check-in services with emphasizing the importance of keeping a good communication channel with their guests to enhance customers' experience and increase customers' satisfaction level. Future studies should investigate the applicability of the findings of this study in the context of other cities.

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Section: A Sharing Economymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

What Drives Airbnb Customers’ Satisfaction in Amsterdam? A Sentiment Analysis

Madhi¹,

Alhammad²

2021

IJACSA

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“…In general, the position of Vashkiv (2017) and Cui et al (2019) is logical, which believes that the analysis of sectoral structural shifts significantly benefits, if not limited to the share of each of the sectors in GDP, but also to study the share of employed workers in each of them. Based on this assumption, we formalized the main relationships between the raw materials and non-resource sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of Internal and External Factors on the Structural Changes of National Economy: An Example of Ukraine

Ніконенко

Khalina

Kazyuk

et al. 2021

Business, Management and Economics Engineering

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Purpose – the purpose of our article is to study structural changes in the national economy using a portfolio model of sectors with different returns and, on this basis, processing the methodology for identifying the current state and instrumental factors of economic policy. Research methodology – the methodology of empirical research includes methods of grouping, abstraction, comparison, systems analysis, synthesis and generalization, graphical methods and regression analysis. To analyze the nature of the relationship between the index of structural changes and the dynamics of GDP, which determines the comparative profitability of the resource and non-resource sectors and the current position of the current structure relative to the equilibrium value, we used error-corrected models (ECMs). Findings – using regression models with error correction, a favourable long- and short-term relationship between structural changes in favour of non-resource exports and Ukraine’s GDP has been empirically confirmed. Using the index of structural changes, considering the ratio of raw materials and non-raw materials exports, the necessity of applying administrative measures is substantiated. Research limitations – the study concerned mainly the national economy of Ukraine, but in the future, attention should be paid to the application of the results of our study in other countries of Eastern Europe. In the future, the results obtained can be adapted for other countries of the world. The research was based on the use of specific mathematical methods, and not all mathematical possibilities were used. Practical implications – the model can be used in the practical activities of state economic structures In the future, it is possible to change key indicators and further expand the field of use of the model. Originality/Value – the novelty of the study lies in the development of a methodology for identifying the current state and instrumental factors of economic policy that can speed up economic growth based on favourable structural shifts (in favour of the non-resource export sector).

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Change of Enterprise Business Model Under the Background of Big Data

Shi¹

2021

Advances in Intelligent Systems and Computing

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Exploring the influencing factors of sharing economy sustainability based on a two-mode social network analysis

Cited by 4 publications

References 20 publications

What Drives Airbnb Customers’ Satisfaction in Amsterdam? A Sentiment Analysis

What Drives Airbnb Customers’ Satisfaction in Amsterdam? A Sentiment Analysis

Influence of Internal and External Factors on the Structural Changes of National Economy: An Example of Ukraine

Change of Enterprise Business Model Under the Background of Big Data

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