• Knowledge Management Research
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• v.16 no.4
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• pp.89-108
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• 2015

Social networking communities (SNCs) are media designed to facilitate social interaction using highly accessible and scalable publishing techniques. SNCs can constitute individuals' their own profiles in the online environment and share texts, images and photos in a variety ways. In other words, one of the other motivators is knowledge sharing. Various sites, such as Facebook, Orkut, MySpace, and Hi5 are categorized as SNCs. SNCs have become increasingly popular in recent years among youths, especially students, who use them to build social networks. This study examines whether this usage of SNCs inculcates a sense of community among their members. Several studies have examined the role of a sense of community through increased usage in the context of virtual communities. Although this result may be true of virtual communities, this paper contends that the opposite relationship prevails in the case of SNCs because members interact to build networks and are not obliged to interact. The results reveal that maintaining long-term interactions in the SNCs is helpful in building a sense of community in SNCs. Although short-term usage may not boost the development of a sense of community in SNCs, it does matter if the premise is for a long-term commitment to SNCs. Implications for theory and practice are discussed.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.79-86
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• 2017

With the increasing trend of popularity of websites and social networking sites, it is quite evident that companies need to take cautionary measures in protecting the reputations with respect to company and brands. In this process, every company should indulge in enhancing their company and brand image through websites and social networking sites that fortify the bonding nature among them. The always-on nature of websites and social networking sites has contributed to their phenomenal marketing power and altered the balance of power between consumers and firms. Websites and social networks are used by hundreds of millions of people to communicate about a huge range of topics, including personal interests, activities, social events and even public issues. The paper explores a case study of the Ritz-Carlton hotel for their marketing strategy and organizational use of their website and social media in communicating with their customers. Even for the normal luxury traveler who would not have previously used the Internet to research a hotel or make a reservation, ritzcarlton.com is making it possible for them to do so in a sense of the luxury and typical Ritz-Carlton style. It seems to be a staple of the company for years to come.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.613-624
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• 2021

The use of social networking sites (SNS) for e-recruitment has shifted the focus away from traditional hiring and selection processes. They are commonly used in the search and acquisition of new employees and are projected to expand in the near future as an e-recruitment tool. However, there is a lack of material on SNS and their impact on an employers' intention to use these sites for e-recruitment, in the context of Malaysia. Hence, there is an acute necessity for research on the extent that the features of SNS can influence the employers' intention to use SNS for e-recruitment and to know how to keep utilizing the platform for future e-recruitment. This study aims to identify the key features of SNS that lead to employers' intention to use SNS for e-recruitment in Malaysia. In this cross-sectional study, random sampling was utilized to obtain data from 198 recruitment professionals using online survey. The findings show that data quality, reliability, networking spectrum and simplicity of navigation of SNS are the key predicting factors for intention to use SNS for e-recruitment. Therefore, employers should acknowledge these key features of SNS to achieve their e-recruitment goals.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.1-20
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• 2011

The market structure and consumer characteristics are changing dynamically according to internet shopping industry developing based on Web 2.0. But, there is absent typical online service after 'Cyworld.' The social shopping sites based on social networking reflect to present phenomenon that collective intellect, information sharing, participate in making information. The social shopping sites are not limited in particular shopping sites but include all of sites in online. So, consumers can copy various products and display on their own blog provided from social shopping sites and make some purchase reviews and any comments about products can lead transactions among social shopping sites. So, it might be a one of meta-shopping mall like 'Naver.' As the social shopping sites are new form, we just applied to TAM theory to figure out acceptance factors using SEM. The perceived enjoyment affect to usefulness, ease of use and using intension. The perceived ease of use also affect to usefulness and the usefulness affect to using intension positively. But the perceived ease of use was for nothing in using intension. Finally, we provided managerial implications to activate domestic online shopping industry and theoritical meaning using extended TAM.

• The Journal of Information Systems
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• v.32 no.4
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1868-1887
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• 2024

Recommendation systems research is a subfield of information retrieval, as these systems recommend appropriate items to users during their visits. Appropriate recommendation results will help users save time searching while increasing productivity at work, travel, or shopping. The problem becomes more difficult when the items are geographical locations on the ground, as they are associated with a wealth of contextual information, such as geographical location, opening time, and sequence of related locations. Furthermore, on social networking platforms that allow users to check in or express interest when visiting a specific location, their friends receive this signal by spreading the word on that online social network. Consideration should be given to relationship data extracted from online social networking platforms, as well as their impact on the geolocation recommendation process. In this study, we compare the similarity of geographic locations based on their distance on the ground and their correlation with users who have checked in at those locations. When calculating feature embeddings for users and locations, social relationships are also considered as attention signals. The similarity value between location and correlation between users will be exploited in the overall architecture of the recommendation model, which will employ graph convolution networks to generate recommendations with high precision and recall. The proposed model is implemented and executed on popular datasets, then compared to baseline models to assess its overall effectiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.195-215
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• 2021

Multipath Transport Control Protocol (MPTCP) is a transport layer protocol that enables multiple TCP connections across various paths. Due to path heterogeneity, it incurs more energy in a multipath wireless network. Recent work presents a set of approaches described in the literature to support systems for energy consumption in terms of their performance, objectives and address issues based on their design goals. The existing solutions mainly focused on the primary system model but did not discourse the overall system performance. Therefore, this paper capitalized a novel stochastically multipath scheduling scheme for data and path capacity variations. The scheduling problem formulated over MPTCP as a stochastic optimization, whose objective is to maximize the average throughput, avoid network congestion, and makes the system more stable with greater energy efficiency. To design an online algorithm that solves the formulated problem over the time slots by considering its mindrift-plus penalty form. The proposed solution was examined under extensive simulations to evaluate the anticipated stochastic optimized MPTCP (so-MPTCP) outcome and compared it with the base MPTCP and the energy-efficient MPTCP (eMPTCP) protocols. Simulation results justify the proposed algorithm's credibility by achieving remarkable improvements, higher throughput, reduced energy costs, and lower-end to end delay.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.111-130
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• 2013

As the number of online social networking service (SNS) users is increasing, various efforts are being deployed to take advantage of SNS from the perspective of business and management. Especially, researches in the field of marketing such as word-of-mouth (WOM) effect have been actively conducted. This paper examined the impact of the SNS messages of users' friends on the users' attitude and the moderating effect of the friends' opinion leadership on the WOM effect. Fifty-one Facebook users responded to the questions on their four friends each. Regression analyses showed that there existed WOM effect under the SNS environment and the opinion leadership of the message creators positively moderated the WOM effect. We discussed the contributions and implications of this study.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.196-198
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• 2016

Online social networking sites such as MySpace, Facebook, Twitter are becoming very preeminent, and the quantities of their users are escalating very quickly. Due to the significant escalation of security vulnerabilities in social networks, user's confidentiality, authenticity, and privacy have been affected too. In this paper, a short study of online social network attacks is presented in order to identify the problems and impact of the attacks on World Wide Web (WWW).

• Journal of Digital Convergence
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• v.5 no.1
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• pp.141-157
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• 2007

Due to the development of Internet and networking technologies, it is much more easier to get in touch with public service through the web services such as tax, travel information, getting a job, etc. In order to measure the quality of official government web sites, we are to test the difference between the web quality of the government sites and the offline feature of the same official service by means of customer perspectives. The resulting of this study show that the quality of official web site has been improved so far though such areas as privacy, security needed to be updated. Especially the web interface or contact point of the digital media should be reflected customer's need so that the online materials may be quickly updated according to the request of client's.