• 한국벤처창업학회:학술대회논문집
• /
• 2016.04a
• /
• pp.44-47
• /
• 2016

본 연구에서는 스마트폰의 보급과 인터넷의 발달로 빠르게 성장하고, 그 영향력이 확산되고 있는 SNS 기반 사회적 자본이 고객충성도에 미치는 영향을 파악하고자 하였다. SNS 커뮤니케이션의 활용은 SNS에서 영향력이 있는 사람이 다른 사람에게 영향을 끼칠 수 있다는 점과 그 영향력이 상상외로 넓고 빠르기 때문에 마케팅적 측면에서 중요시 되고 있는 것이다. 소상공인이 생계형 창업이 대부분이라 사업을 주도적으로 이끌어가는 주체이며, 스마트폰의 고급화와 인터넷의 발달로 빠르게 성장하고, 그 영향력이 확산되고 있는 SNS가 소통을 위한 채널및 마케팅을 위한 채널로 인정받고 있다. SNS에 대한 관심과 수요가 꾸준히 증가하고 있는 추세에 있으며 앞으로도 빠른 속도로 급성장 할 것으로 전망하고 있다. 소상공인의 활성화를 위한 연구들은 최근 많아지고 있는 추세이나, 본 연구에서는 5년 미만 창업기업을 중심으로 국내 소상공인을 대상으로 한 연구의 비중이 증대되고 있는 사회적 자본(Social Capital)에 대한 연구를 소상공인 대상으로 SNS기반 사회적 자본에 대해 살펴봄으로써 창업을 준비 중인 소상공인의 경쟁력 확보를 위해 고객충성도에 영향을 미치는 요인에 대한 시사점을 도출하고자 한다.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.170-178
• /
• 2012

This study examines perceived homophily by the degree of self disclosure among SNS users. In this research, there were three different groups in terms of the degree of self disclosure among SNS users such as strong, medium and weak self disclosure groups The major results are as follows: Firstly, the higher the degree of self disclosure, the more social network service use. In addition, the higher the degree of self disclosure, the smaller the degree of online activity including blog and mini web page. Secondly, the higher the degree of self disclosure, the higher the degree of socio-demographic homophily. It can be argued that the strong group had much more mean scores than that of medium and weak groups in terms of regions, gender, age and vocation except nationality. Also, the higher the degree of self disclosure, the higher the degree of shared homophily except of political opinion homophily.

• Journal of Digital Convergence
• /
• v.12 no.2
• /
• pp.577-586
• /
• 2014

As SNS has increased its influence on the society as a whole, companies also have started to consider how to take advantage of the new service paying specific attention to its characteristics of immediacy, sharability and interactivity. This study aims to circumstantiate the relationship between a task support tool of SNS and task-media fit, user characteristics and performance by focusing on its usage in work field. To address this issue, a Task-Technology Fit model is used to propose a research model considering the characteristics of SNS as a social element, information technology as well as its user characteristics. The outcome shows that job characteristics, virtual competence and media characteristics have a significant influence on task-media fit, whereas virtual competence and SNS characteristics variables have a significant influence on SNS usage. Besides, task-media fit has a significant influence on SNS usage and work performance while SNS usage has a significant influence on work performance. The study suggests that strategic use of SNS helps improve work performance and these individual characteristics should be considered in planning of SNS utilizing strategy.

• Journal of Distribution Science
• /
• v.18 no.3
• /
• pp.25-36
• /
• 2020

Purpose: Based on previous researches on social factors of digital item purchase in digital contents distribution platforms such as SNS, we aim to develop the integrated model that accounts for the dynamic and interactive relationship between social structure indicators and digital item purchase. Research design, data and methodology: A PVAR model was used to capture endogenous and dynamic relationships between digital item purchase and network indicators. Results: We find that there exist considerable endogenous and dynamic relationships between digital item purchase and network structure variables. Not only lagged in-degree and out-degree but also in-closeness and out-closeness centrality have significant and positive impacts on digital item purchase. Lagged clustering has a significant and negative effect on digital item purchase. Lagged purchase has a significant and positive impact just on the present in-closeness and out-closeness centrality; but there is no significant effect of lagged purchase on the other two degree variables and clustering coefficient. We also find that both closeness centralities have much higher carryover effect on digital item purchase and that the elasticity of both closeness centralities on the purchase of digital items is even higher than that of other network structure variables. Conclusions: In-closeness and out-closeness are the most influential factors among social structure variables of this study on digital item purchase.

• The Korean Journal of Applied Statistics
• /
• v.31 no.5
• /
• pp.655-665
• /
• 2018

Social network services (SNS) have become the most common tool for the communication of public and private opinions as well as public issues; consequently, one may form or drive public opinions to advocate by spreading positive content using SNS. Controversy for survey data based opinion poll accuracy continues in relation to response rate or sampling methodology. This study suggests complementary measures that additionally consider the sentiment analysis results of unstructured data on a social network by data crawling and sentiment dictionary adjustment process. The suggested method shows the improvement of prediction accuracy by decreasing error rates.

• Journal of Broadcast Engineering
• /
• v.12 no.5
• /
• pp.452-459
• /
• 2007

The Internet is encountering a new turning point owing to the raising Web 2.0. A user Just receives the information and service provided by a service provider in the existing web 2.0, but a user can create a new service for himself using an application program and data provided in web 2.0. The digital content market is producing a new service according to Web 2.0. The specific service among them is User Created Contents(UCC) and it is leading to the participation and interesting of user SecondLife also which is the type as Social Network Service(SNS) and VR, is placing as a new service type. This paper defines Web 2.0 environment and classifies as UCC, SNS and Virtual Reality(VR) and defines a variety services shown in new environment. It also analyzes shortcomings and then prospect a new type of service which will be shown in the future.

• The Journal of Bigdata
• /
• v.2 no.1
• /
• pp.27-39
• /
• 2017

The importance of online communication is getting increased by the rapid growth of smartphone supply and Social Network Service (SNS) use. Catching up with the trend, firms are actively use SNS to improve brand image, promote products, and communicate with customer. On the one hand, SNS is the channel for firms' marketing activities, but on the other, it is also the channel where the events related to the firms propagate in real time. Firms are led to unexpected state of crisis, when events are quickly spread out on SNS. Then firms are assessed their image by the way they deal with the state of crisis. This paper proposes to figure out user response on SNS according to each crisis response strategies by analyzing event-related twitter data when crisis situations of firms arise. We classify crisis response strategies into response attitude, defensive and accommodative response, and response speed, fast and slow response. This paper suggests optimal crisis response strategy to firms regarding state of crisis propagated on SNS.

• Management & Information Systems Review
• /
• v.29 no.4
• /
• pp.89-108
• /
• 2010

Social Network Service(SNS) indicates the service to promote mutual friendship built in online focused on social relation between people. While a demand and concern of the service gets higher now more than ever, there are a lack of the approach in aspect of both technology and service still. 'Facebook' is the most famous in the world and the biggest in user number among various social network service. We investigate the key factors of 'Facebook' based on the side of approach both technology and service. We observe the behavior of users who have rich experience on using the social network service to find it. The result of this study reveals that an asynchronous method related to the technology drive to improve a sociality in social media. Furthermore, we find that openness connected with the technology force to intent the closed attribute in service through user observation. It is the unique qualities social media holds. The successful social network service can be expected if social media are developed to concern these factors.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.2
• /
• pp.239-244
• /
• 2015

We can build regular relationships with customers by integrating SNS (Social Networking Service) and internet shopping mall functions. For example of direct dealing of agricultural products, consumers can find news of regular sellers (seeding, farming, harvesting and new products) in the timeline at their SNS home. Then, they can purchase the necessary products by one click motion. The sellers provide news and discount information for building regular customers. Besides these SNS personal connection building, our system provides shopping mall functions to consumer's SNS home pages with auto classified catalog of products. Then, consumes easily find necessary products and these purchase may lead to regular relationships with sellers. Consumers may redistribute recommendations and reviews and it enables direct communications between consumers who are unknown to each other.

• Industrial Engineering and Management Systems
• /
• v.12 no.2
• /
• pp.130-142
• /
• 2013

Social Networking Service (SNS) is prevailing rapidly in Japan in recent years. The most popular ones are Facebook, mixi, and Twitter, which are utilized in various fields of life together with the convenient tool such as smart-phone. In this work, a questionnaire investigation is carried out in order to clarify the current usage condition, issues and desired functions. More than 1,000 samples are gathered. Bayesian network is utilized for this analysis. After conducting the sensitivity analysis, useful results are obtained. Differences in usage objectives and SNS sites are made clear by the attributes and preference of SNS users. They can be utilized effectively for marketing by clarifying the target customer through the sensitivity analysis.