• 제목/요약/키워드: Social Network characteristics

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Multi-level Analysis of the Antecedents of Knowledge Transfer: Integration of Social Capital Theory and Social Network Theory (지식이전 선행요인에 관한 다차원 분석: 사회적 자본 이론과 사회연결망 이론의 결합)

  • Kang, Minhyung;Hau, Yong Sauk
    • Asia pacific journal of information systems
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    • v.22 no.3
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    • pp.75-97
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    • 2012
  • Knowledge residing in the heads of employees has always been regarded as one of the most critical resources within a firm. However, many tries to facilitate knowledge transfer among employees has been unsuccessful because of the motivational and cognitive problems between the knowledge source and the recipient. Social capital, which is defined as "the sum of the actual and potential resources embedded within, available through, derived from the network of relationships possessed by an individual or social unit [Nahapiet and Ghoshal, 1998]," is suggested to resolve these motivational and cognitive problems of knowledge transfer. In Social capital theory, there are two research streams. One insists that social capital strengthens group solidarity and brings up cooperative behaviors among group members, such as voluntary help to colleagues. Therefore, social capital can motivate an expert to transfer his/her knowledge to a colleague in need without any direct reward. The other stream insists that social capital provides an access to various resources that the owner of social capital doesn't possess directly. In knowledge transfer context, an employee with social capital can access and learn much knowledge from his/her colleagues. Therefore, social capital provides benefits to both the knowledge source and the recipient in different ways. However, prior research on knowledge transfer and social capital is mostly limited to either of the research stream of social capital and covered only the knowledge source's or the knowledge recipient's perspective. Social network theory which focuses on the structural dimension of social capital provides clear explanation about the in-depth mechanisms of social capital's two different benefits. 'Strong tie' builds up identification, trust, and emotional attachment between the knowledge source and the recipient; therefore, it motivates the knowledge source to transfer his/her knowledge to the recipient. On the other hand, 'weak tie' easily expands to 'diverse' knowledge sources because it does not take much effort to manage. Therefore, the real value of 'weak tie' comes from the 'diverse network structure,' not the 'weak tie' itself. It implies that the two different perspectives on strength of ties can co-exist. For example, an extroverted employee can manage many 'strong' ties with 'various' colleagues. In this regards, the individual-level structure of one's relationships as well as the dyadic-level relationship should be considered together to provide a holistic view of social capital. In addition, interaction effect between individual-level characteristics and dyadic-level characteristics can be examined, too. Based on these arguments, this study has following research questions. (1) How does the social capital of the knowledge source and the recipient influence knowledge transfer respectively? (2) How does the strength of ties between the knowledge source and the recipient influence knowledge transfer? (3) How does the social capital of the knowledge source and the recipient influence the effect of the strength of ties between the knowledge source and the recipient on knowledge transfer? Based on Social capital theory and Social network theory, a multi-level research model is developed to consider both the individual-level social capital of the knowledge source and the recipient and the dyadic-level strength of relationship between the knowledge source and the recipient. 'Cross-classified random effect model,' one of the multi-level analysis methods, is adopted to analyze the survey responses from 337 R&D employees. The results of analysis provide several findings. First, among three dimensions of the knowledge source's social capital, network centrality (i.e., structural dimension) shows the significant direct effect on knowledge transfer. On the other hand, the knowledge recipient's network centrality is not influential. Instead, it strengthens the influence of the strength of ties between the knowledge source and the recipient on knowledge transfer. It means that the knowledge source's network centrality does not directly increase knowledge transfer. Instead, by providing access to various knowledge sources, the network centrality provides only the context where the strong tie between the knowledge source and the recipient leads to effective knowledge transfer. In short, network centrality has indirect effect on knowledge transfer from the knowledge recipient's perspective, while it has direct effect from the knowledge source's perspective. This is the most important contribution of this research. In addition, contrary to the research hypothesis, company tenure of the knowledge recipient negatively influences knowledge transfer. It means that experienced employees do not look for new knowledge and stick to their own knowledge. This is also an interesting result. One of the possible reasons is the hierarchical culture of Korea, such as a fear of losing face in front of subordinates. In a research methodology perspective, multi-level analysis adopted in this study seems to be very promising in management research area which has a multi-level data structure, such as employee-team-department-company. In addition, social network analysis is also a promising research approach with an exploding availability of online social network data.

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A Study on Inter-Organizational Service Network for the Primary School Children in Need (결식아동 지원조직간 서비스 연계망(network)에 관한 연구)

  • Lee, Hye-Won
    • Korean Journal of Social Welfare
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    • v.49
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    • pp.190-224
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    • 2002
  • The purpose of this study was to find out the characteristics of the direct workers and the organizations delivering services to the children in low-income families, and to identify major factors that affect the number and degree centrality of service network. The research sample was 141 organizations. and the data were collected by a survey questionnaire and analyzed by UCINET V and multiple regression. The results show that the classification of organizations, the work-autonomy, the license of social welfare have a significant effect on the number of network organization, and the license of social welfare, the subjective body of organizations, the number of children in charge have a significant effect on the degree centrality of service network, among the independent variables. Based on the research results, implications for the future practice are discussed.

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Social Capital for the Baby Boomer Generation in the Future -Focused on Cohort Characteristics of the Baby Boomer Generation- (베이비붐 세대를 위한 미래 사회적 자본 -베이비붐 세대의 집단적 특성을 중심으로-)

  • Cha, Sung-Lan
    • Journal of Family Resource Management and Policy Review
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    • v.16 no.1
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    • pp.67-83
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    • 2012
  • Baby boomers are often defined by their support of their parents and their devotion to their children's educational success by providing financial and emotional aids. Now, 7.12 million baby boomers in South Korea are retiring, or are about to retire, without any retirement plans. Similar to financial stability, health, and leisure life, social capital is another important element in the quality life after retirement. This is because social capital can function as a potential resource network. Social capital is a source that provides money, information, goods, services, emotional aids, social relational opportunities etc. In the past, family and community provided social capital for the aged. However, the baby boomer generation cannot expect the same. The baby boomers have the task of creating new social capital that can assure their quality of life. Therefore, this study examines cohort characteristics of the baby boomer generation and, based on the examination, seeks an alternative for social capital. The results are as follows: First, social capital from the local community can be an alternative source of caring for the baby boomers in old age. Second, among the social capital of the local community, elderly care supported by a family friendly community is proposed. In addition, baby boomers must become the primary social capital that contributes to a mature civil society rather than a beneficiary of welfare for the aged.

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The Influence of Elementary School Students' Peer-relationship Network Characteristics on the Reading Competencies (초등학생 또래관계 네트워크 특성이 독서능력에 미치는 영향)

  • Lee, Eun-Jung;Park, Ji-Hong
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.2
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    • pp.299-322
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    • 2020
  • The purpose of this study is to suggest reading education plan by exploring the characteristics of peer-relationship networks of elementary school students, and grasping the effects of those characteristics on the reading competencies. Social network analysis method was used, and centrality analysis, QAP correlation and QAP multiple regression analyses were conducted to examine the relationship between peers and reading competencies. The findings show that the help relationship rather than peer characteristics and friend relationship was related to reading competencies. However, since the friend relationship has an effect on the help relationship, it is also found that the relationship between the friend and the help relationship network should be considered in order to improve the reading competencies. This network analysis results are meaningful in reading education plan in the sense that they suggest a useful guideline for the formation of members ranging from individuals, small groups, to a whole class, and for periodical activities considering situation and learning purposes such as before, during, and after reading activities.

Study of Virtual Goods Purchase Model Applying Dynamic Social Network Structure Variables (동적 소셜네트워크 구조 변수를 적용한 가상 재화 구매 모형 연구)

  • Lee, Hee-Tae;Bae, Jungho
    • Journal of Distribution Science
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    • v.17 no.3
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    • pp.85-95
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    • 2019
  • Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

A Study on the Relationships among SNS Characteristics, Satisfaction and User Acceptance

  • Ko, Changbae;Yoon, Jongsoo
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.143-150
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    • 2015
  • Social network services can be defined as an individual web page which enables online, human-relationship building by collecting useful information and sharing it with specific or unspecific people. Recently, as the social network services(SNS) such as Twitter and Facebook have been paid attention in many fields of the society. SNSs are also one of the fastest channels to get news which people may not be able to see on TV or newspaper. The number of people who feel they are benefiting from social network services are increasing dramatically. A number of researches about SNS are underway. The study based on the Technology Acceptance Model empirically investigates the relationship between characteristics of SNS (system, service, information, and emotional) and user satisfaction of SNS. The study also analyzes how the relationshipa between SNS characteristics, satisfaction and user acceptance are moderated by country type of SNS users and inclination toward SNS acceptance. To achieve these research purposes, the study conducted various statistical analyses using questionnaire of the Korean and Chinese SNS users. The results of the study are followings. First, SNS characteristics have a positive effect to the user satisfaction. Second, SNS satisfaction have a positive effect to the user acceptance. Third, the relationship between SNS characteristics and user satisfaction is moderated by the country type of SNS users and inclination toward SNS acceptance. The study results could provide some implications to researchers who have interest in studying SNS, also could help business managers to operate and develop their SNS site more effectively.

Analysis on User Behavior of Social Game (소셜 게임의 사용자 특성 분석)

  • Han, Hye-Won;Shim, Se-Ra
    • The Journal of the Korea Contents Association
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    • v.10 no.12
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    • pp.137-145
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    • 2010
  • Humans are social existences who connect with others and live together. Communication between human has evolved into diverse formats and contents beyond time and space. Social Network Service builds social relationship based on web and its users increase rapidly in a global environment due to the user-friendly web circumstances, easy access and wide-spread supply of the smart phones. One of the aspect that is taking the center of Social Network Service is a Social Game. Social Games are based on web that has simple rules to play in fictional time and space background. This research is to analyze the relationship between social game, Social Network and user behavior through the Social Games Farm Villand Cafe World.This paper, firstly, is going to observe the characteristics of people who participate in the two social games 'Farm Ville' and 'Cafe World'. It, then, attempts to analyze individual and social human desires depicted in the games. In the social games, personal perception is revealed through an image of "possession", while one's social activity is displayed by an image of "consumption."

Investigating Good Teaching and Learning Experiences in the Perspectives of University Students through Social Network Analysis

  • OH, Suna;LYU, Jeonghee;YUN, Heoncheol
    • Educational Technology International
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    • v.21 no.2
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    • pp.193-216
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    • 2020
  • This study investigated university students' perspectives on good class and instructional practices through social network analysis. The subjects were 321 students in the third and fourth academic years in a Korean university. The subjects completed four open-ended questions, asking about experience of good class, good instructors' teaching practice, and their feelings and attitudes when participating in good class. As social network analysis, KrKwic (Korea Key Words in Context) was used to compute word frequencies and analyze semantic network structures and Ucinet Netdraw to assess centrality in the social network, consisting of degree centrality, closeness centrality, and between centrality. The results are as follows. First, students showed 5 keywords to depict what good class is, including 'understanding', 'example', 'video', 'interest', and 'communication'. Second, the characteristics of teaching methods by professors who practice good class indicate 'assignments', 'questions', 'understanding', 'example', and 'feedback'. Third, the top 5 keywords of students' attitudes as participating in good class are 'active', 'participation', 'focus', 'listening', and 'asking'. Last, keywords depicting desirable class that students most wanted to take next time are 'assignments', 'rewards', 'understanding', 'difficulty', and 'interest'. The findings from this study include the meanings of the semantic network structures of words in the text making up messages. Also this study can provide empirical evidence for educators and educational practitioners in higher education to create effective learning environments.

Analyzing the relationship between employee characteristics and performance in call center organizations: integration of social network analysis and repertory grid technique (조직 내 사회적 특성과 개인적 특성이 콜센터 업무 성과에 미치는 영향 분석: 사회연결망과 RGT를 중심으로 한 A사 사례 연구)

  • Kim, Jongmyoung;Geum, Youngjung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.466-475
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    • 2020
  • Current performance evaluation of call center employees is dependent on the number of calls they have resolved, regardless of the individual and social characteristics of employees. However, since call center tasks are highly customer-oriented and emotional laborious, individual capability as well as social characteristics of employees is critical to performance. Therefore, this study analyzed the relationship between employees' individual/social characteristics and their performance. To extract individual characteristics, a repertory grid technique was employed, whereas social network analysis was conducted to extract the social characteristics of employees. Using individual and social characteristics as input variables, multiple regression was conducted to analyze the effect of each variable on performance. As a result, in-degree centrality of dining network, initiative characteristics, open characteristics, and enjoyment of studying were determined to be important variables for performance. This study is expected to be used in both performance management and human resource management of call center practices.

A Study on the Social Network Characteristics in Press Organizations of Korea (국내 언론사 조직에 내재한 사회적 네트워크 특성 연구 -국민정부에서 실용정부까지 신문사와 방송사 조직에서의 밀도 및 위치 분석을 중심으로)

  • Kwon, Jang-Won
    • Korean journal of communication and information
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    • v.67
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    • pp.7-34
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    • 2014
  • This study analyzes the characteristics, implications, and problems of Social Network of Press Organizations from the Kim Dae-jung administration to the Lee Myung-bak administration in Korea. For analyzing these issues, this study attempts to investigate the traits of social network structure based on the density analysis, distribution character analysis and correspondence analysis in each and among regimes. To answer these questions, this study utilizes human relationship data which related to personal network aspects (place of birth, affiliated college) and expertise aspects (types of major field), and which data has been gathered from the biographical web-site of Press Organizations in Korea. The results showed that the membership format of each Press Organizations depends on the connection with political environment directly and indirectly. Especially, the network traits of Broadcasting Press Organizations stands out a place of birth aspect. This findings indicate that the broadcasting policy reality that the path of decision making is connected with the political environment is more effective.

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