Applying Evolution Computation Model to the Development and Transition of Virtual Community under Web2.0

Abstract Social media is a virtual community or network platform that the public uses to achieve self-creation and it’s sharing with others; under the social media environment, self-media channels become more abundant, and the autonomy and originality of content dissemination are also continuously enhanced. When tourism enterprises face increasing market competition, personalized and targeted promotional programs will, to a certain extent, have a certain appeal to competitors’ potential customer groups, thereby providing tourism enterprise customers with relevant benefits for oriental information, and also serving as an important way for companies to develop new customers. Based on the summary and analysis of previous literature works, this paper expounded the research status and significance of social media environment, elaborated the development background, current status and future challenges of customer-oriented information analysis for tourism enterprises, introduced the methods and principles of customer’s transfer value and life cycle and social media environment’s cognitive composition, proposed a sentiment model of tourist-oriented information analysis under the social media environment, and analysed the management strategy and scheduling platform of customer-oriented information, constructed an analysis system of customer-oriented information in social media environment, performed the reliability, validity, transfer and perception value analysis of customer-oriented information and finally conducted case simulation and its result analysis. The study results of this paper provide a reference for further researches on the customer-oriented information analysis for tourism enterprises under the social media environment.

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Physical activity, sport and transnational migrant spaces in Shanghai, China: (Re)crafting contours of a metropolitan cityscape

International Review for the Sociology of Sport ◽

10.1177/10126902211009444 ◽

2021 ◽

pp. 101269022110094

Author(s):

Geoffery Zain Kohe ◽

Daniel Nehring ◽

Mengwei Tu

Keyword(s):

Physical Activity ◽

Social Life ◽

Virtual Community ◽

Community Formation ◽

Urban Citizenship ◽

Transnational Mobility ◽

Highly Skilled Migrants ◽

Highly Skilled ◽

Globally Attractive ◽

Skilled Migrant

This study examines associations between sport/physical activity space, community formation and social life among Shanghai’s highly skilled migrant demographic. There is limited illustration of the roles sport and physical exercise provision and spaces play in this migrant cohort’s lives, community formation and participation in their host societies. Yet, such evidence is of value in determining social policy, urban development and community engagement initiatives. Using a mixed-methods approach involving public policy critique, cultural and spatial analysis and virtual community investigation, this article provides a conceptual exploration of ways sport and physical activity frame individual and collective migrant experiences, and how such experiences enmesh with wider geo-spatial, political and domestic context. Amid Shanghai’s presentation as a globally attractive space, we reveal some of the complexities of the cityscape as an emblematic location for highly mobile, highly skilled migrants. A confluence of ideals about urban citizenship, social participation and localised physical activity/sport-based (inter)action, we note, articulate Shanghai anew, and contribute to debates on highly skilled transnational mobility and community formation.

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A Distinct Type of Online Group for Customer Knowledge Innovation: The Virtual Product User Community

Libri ◽

10.1515/libri-2020-0138 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Xuguang Li ◽

Andrew Cox

Keyword(s):

Virtual Communities ◽

Virtual Community ◽

Distinct Type ◽

Technical Problems ◽

User Community ◽

Customer Group ◽

Knowledge Innovation ◽

Classification Framework ◽

User Communities ◽

Virtual Product

Abstract Among online communities of customers there are a number of different types of group that need to be distinguished. One interesting type are virtual product user communities, i.e. company sponsored online forums where product users share usage experience and collaboratively construct new knowledge to solve technical problems. The purpose of this paper is to show that these “virtual product user communities” are a distinct type of customer group with knowledge innovation capability. The research adopts a method combining observation and content analysis of discussion threads where technical problems are solved, complemented by thematic analysis of interviews with forum members to explore its character, especially its knowledge related attributes. The paper confirms empirically that the virtual product user community is a distinct type of virtual community and can be differentiated from other virtual communities of consumers. In addition, an enhanced classification framework, extending Porter’s (2004) classic 5Ps model, is proposed to highlight knowledge-related activities in virtual communities. Of particular interest is that the findings suggest that knowledge-related activities should be considered as an important attribute in defining and classifying virtual communities. In terms of practical implications, it is recommended that the virtual product user community should be given appropriate support from top management in order to fully exploit its knowledge innovation value. Moreover, tailored facilitation strategies to promote knowledge construction activities and community development can be developed in accordance with its unique attributes. The paper precisely distinguishes one specific type of innovative virtual community consisting of product users from other online customer communities. Moreover, it outlines a revised virtual community classification framework, which can be widely applied in analysing features of online groups. Its key attribute of knowledge-related activity redirects attention to virtual communities’ knowledge innovation capabilities.

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