Hybrid journal (It can contain Open Access articles) ISSN (Print) 1476-1300 - ISSN (Online) 1741-5330 Published by Inderscience Publishers[451 journals]
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Authors:Qing Zhu, Yiqiong Wu, Yuze Li, Bing Pan Pages: 198 - 213 Abstract: The sharing economy has experienced rapid development in the past few years; nonetheless, at present, it is still in its infancy. As the sharing economy harnesses an innovative, novel business model, traditional marketing countermeasures are insufficient. Therefore, the sharing economy market patterns need to be explored and appropriate marketing countermeasures developed. To this end, text mining was applied to reviews on a typical sharing economy platform, Airbnb, to accomplish market segmentation. The results suggested that the host is the most valued factor to Airbnb guests. Thus, different from traditional hotel industry, it is essential for emerging peer-to-peer accommodation platform to encourage host to establish good interaction between the guests and the hosts. Meanwhile, cleanliness and convenience are also two major concerns to Airbnb guests, which indicates that Airbnb platform should encourage hosts to promote hotel-like properties for Airbnb listings. In addition, there is no strong evidence of heterogeneity in guests seeking accommodation in different locations. Keywords: market segmentation; sharing economic; text mining; Airbnb Citation: International Journal of Internet and Enterprise Management, Vol. 9, No. 3 (2020) pp. 198 - 213 PubDate: 2020-02-07T23:20:50-05:00 DOI: 10.1504/IJIEM.2020.104932 Issue No:Vol. 9, No. 3 (2020)
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Authors:Qing Zhu, Yiqiong Wu, Yuze Li, Bing Pan Pages: 214 - 247 Abstract: The sharing economy is of international interest. It is said to be an international phenomenon - however, is there one 'sharing economy' or are there differences between countries? By means of a content analysis of texts available on online sharing economy platforms, this study contributes to an understanding of the sharing economy as an embedded component of the economy and of society. Two countries, Germany and Vietnam, are considered, and an international collection of 280 evaluated online platforms serves as the dataset. Asking which of these international online platforms are available in these two countries and, in a second instance, comparing their features with one another provides an idea of their similarities and differences. On the basis of this, assumptions are made in order to conduct further research on the international aspect of the sharing economy. In a broader perspective, it points to how the sharing economy and the frame of a country-specific system, including its economy and culture, shape it. This is relevant for all actors such as individuals, enterprises, institutions, and academics who are part of the sharing economy. Keywords: sharing economy; Vietnam; Germany; online platforms; sharing concepts; qualitative content analysis; field research Citation: International Journal of Internet and Enterprise Management, Vol. 9, No. 3 (2020) pp. 214 - 247 PubDate: 2020-02-07T23:20:50-05:00 DOI: 10.1504/IJIEM.2020.104947 Issue No:Vol. 9, No. 3 (2020)
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Authors:Yishu Qiu, Jinsheng Lu, Lvqin Yang, Yezi Xu Pages: 248 - 260 Abstract: In recent years, the sharing economy has developed vigorously, and the internet of things (IoT) technology is an important technology to realise the sharing economy. As an automatic identification technology, radio frequency identification (RFID) technology is the key technology to build the internet of things and an essential part of the sharing economy. In order to solve the collision problem of tags identification, an improved grouping adaptive query tree algorithm (IGAQT) is proposed in this paper. Compared to the most of existing anti-collision algorithms, simulation results show that our proposed algorithm can achieve better performance in terms of time complexity and communication overload. And the algorithm is applied to the actual case of sharing economy. Keywords: radio frequency identification; RFID; sharing economy; internet of things; IoT Citation: International Journal of Internet and Enterprise Management, Vol. 9, No. 3 (2020) pp. 248 - 260 PubDate: 2020-02-07T23:20:50-05:00 DOI: 10.1504/IJIEM.2020.104934 Issue No:Vol. 9, No. 3 (2020)
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Authors:Hanane Thamik, Jiang Wu Pages: 261 - 280 Abstract: Based on social capital theory, this study aims to examine the effect of social capital domains on an individual's learning and cognitive attitude which regulates decision-making to purchase. Individuals who socially interact with each other and share vision using social media are more likely to share their purchase recommendation, which cognitively motivates to make a purchase decision where trustworthiness among networks strengthen the relationship of social interaction, social vision and cognitive behaviour of an individual. With the help of latest literature, theoretical model and number of the hypothesis are built. Data was collected from 360 universities students who use social media to collect for information and knowledge and ask for a recommendation from their social capital, on which, they trust while purchasing products and services. AMOS-21 was used to perform statistical analysis, and where for moderation analysis, hierarchical regression method is used. Keywords: social capital; trustworthiness; purchase decision-making; process; cognitive appraisal Citation: International Journal of Internet and Enterprise Management, Vol. 9, No. 3 (2020) pp. 261 - 280 PubDate: 2020-02-07T23:20:50-05:00 DOI: 10.1504/IJIEM.2020.104941 Issue No:Vol. 9, No. 3 (2020)
Hybrid journal (It can contain Open Access articles)
[451 journals]
