Sustainable Diffusion of Fashion Information on Mobile Friends-Based Social Network Service

Abstract

This study presents a model integrating research on mobile social network services (SNS) and word-of-mouth (WOM) by examining the sustainable diffusion of fashion information via multidimensional effect factors, including the social relationship and sub-network structure characteristics of SNS. Implications for expanded research scope and methods are generated by applying social network analysis to information diffusion on friends-based SNS for sustainable development, which is connected to the social cascade phenomenon. This study investigates the relationship between the social network characteristics of subscribers and the sub-network structure characteristics of friends-based SNS and examines the effect of sub-network structure characteristics on fad-like behavior and WOM. We examine 311 people with experience in fashion information activities using friends-based SNS services for data analysis and perform frequency analysis, reliability and validity analysis, measurement model analysis, and path analysis using SPSS 20.0 and AMOS 20.0. This study furthers our theoretical and practical understanding of the network extension pattern in fashion information diffusion in mobile friends-based SNS. The study also points out the need for community network management and identifies the key factors in friends-based SNS, thus providing strategic guidelines for spreading fashion information effectively.

The Effectiveness of Service Innovation Practices to Reduce Energy Consumption Based on Adaptive Theory

“…Service innovation performance also demonstrates a clear improvement. The interaction between customers and suppliers constitutes the core of service quality, which promotes sustainable development of enterprises [66].…”

Community Empowerment and Utilization of Renewable Energy: Entrepreneurial Perspective for Community Resilience Based on Sustainable Management of Slum Settlements in Makassar City, Indonesia

“…This means that reciprocal relationships between individuals in community groups are carried out, because of a strong belief to build a harmonious network of interactions and communication. Social relations in society are two-way to obtain information, and the relationships that are built are mutually beneficial [63]. Thus, the social capital owned by the community is very important to maximize its function in the community empowerment process for the use of renewable energy toward increasing the productivity of economic enterprises and the sustainability of handling slums.…”

New Product Information Diffusion in Firm–Hosted Online Communities Based on User Influence

“…Based on the influence study, the research-ers constructed the relevant model [26], [61], which was used to find the most influential user nodes or the collection of nodes in the social network, to study the information diffusion pattern. In the previous literature, most scholars measured the importance of nodes based on the characteristics of network topology [33], [36], [35]. They used the centrality of graph theory and network analysis to measure the structural characteristics of individuals in the network and used it as an indicator to judge the importance of network nodes, to quantify the influence of individual information diffusion behavior, to find the most critical node in the network [17], and to explore the way of information dissemination.…”

“…Moreover, we believe that a large number of potential information contained in the social network information generated by user behavior interaction, as well as the highly topic similarity among users on new products, have the same significantly affected the exchange or diffusion of information. Accordingly, in the research field of user influence that influences information diffusion in firm-hosted online communities, we analyzed the content similarity [23], [36] of user interaction information which could further help firms to carry out the word-of-mouth marketing of new products, implement product recommendation behavior, and build user loyalty. Therefore, to fill the research gap and better explain the dynamic information diffusion and evolution process among individual users, the study content mainly includes the following aspects: (1) We propose a measurement method of user influence for new product information diffusion based on social relationship theory and semantic analysis method, by using big data mining.…”