• Journal of Information Technology Applications and Management
• /
• 제28권6호
• /
• pp.117-132
• /
• 2021

Based on the core value of the Q&A community, the contribution of knowledge and information has a great impact on users' community evaluation. As a small social group, the relationships and interactions among community members are quickly formed through information technology. As such, the cognitive evaluation of the relationship between community members will have an impact on the intention of information contribution. This research builds on the previous research based on the social exchange theory and establishes a dual model of swift guanxi in examining the relationship between guanxi and continuous knowledge contribution. In the current study, 305 survey questionnaires were used and 249 valid questionnaires were used for analysis. The analysis results are as follows: First, information support has a positive impact on dedication-based swift guanxi. While hypothesis between information support and constraint-based swift guanxi was not be supported. Second, emotional support has a positive impact on the formation of swift guanxi from a dual perspective. Third, the swift guanxi from the dual perspective has a positive impact on the intention of continuous knowledge contribution. Finally, although personal involvement has an adjustment effect, it is a downward adjustment effect, hypotheses are not supported. The current study offers theoretical and practical implications in field of knowledge management, specifically knowledge contribution in the virtual community.

• 디지털융복합연구
• /
• 제15권1호
• /
• pp.97-108
• /
• 2017

Web 2.0 환경의 도래 이후 SNS 등을 기반으로 한 온라인 커뮤니티에 이용자들이 자발적이고 적극적으로 정보를 공헌하고 있다. 이에 본 연구는 온라인 커뮤니티에서 정보공헌에 영향을 주는 주요 요인을 규명하여 검증하고자 한다. 동기 이론, 정보리터러시 및 자기표현이론에 기초해서 온라인 커뮤니티에서 정보공헌에 영향을 주는 요인을 도출하여 연구모형을 제시하였다. 온라인 커뮤니티에 정보 또는 지식을 업로드한 경험이 있는 사용자들을 대상으로 설문조사를 실시하여 설문데이터를 수집하였다. 총 262개의 설문데이터를 기반으로 구조방정식모형을 이용하여 연구가설을 검증하였다. 연구결과, 온라인 커뮤니티에서 자기표현동기는 정보공헌과 정보표현능력에 긍정적인 영향을 주었다. 정보리터러시는 정보표현능력의 결정요인으로 검증되었고, 정보표현능력은 정보공헌에 기여하는 것으로 나타났다. 또한 인정 동기는 정보표현능력과 정보공헌에 긍정적인 영향을 미치는 것으로 검증되었다. 본 연구결과는 온라인 커뮤니티에서 정보공헌을 설명할 수 있는 학문적 시사점과 실무적 시사점을 제공한다.

• 정보관리학회지
• /
• 제27권3호
• /
• pp.169-187
• /
• 2010

본 연구의 목적은 지식기여 활동의 영향요인을 분석하고, 지식기여 활성화 방안을 모색하는데 있다. 특히 본 연구에서는 공공부문을 대상으로 온라인에서의 지식기여와 오프라인에서의 지식기여 활동에 영향을 미치는 요인을 분석하고, 이를 통해 지식기여 활성화 방안을 제시하고자 하였다. 구조방정식 모형 분석을 통한 가설검증 결과, 온라인 지식기여와 오프라인 지식기여에 유의미한 영향을 미치는 요인으로는 지지적 리더십, 내재적 동기, 지식품질 등으로 나타났다. 이러한 분석결과를 토대로 본 연구에서는 지식기여 활성화를 위한 전략 및 함의를 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권11호
• /
• pp.3507-3522
• /
• 2022

Model pruning methods have attracted huge attention owing to the increasing demand of deploying models on low-resource devices recently. Most existing methods use the weight norm of filters to represent their importance, and discard the ones with small value directly to achieve the pruning target, which ignores the contribution of the small norm filters. This is not only results in filter contribution waste, but also gives comparable performance to training with the random initialized weights [1]. In this paper, we point out that the small norm filters can harm the performance of the pruned model greatly, if they are discarded directly. Therefore, we propose a novel filter contribution recycle (FCR) method for structured model pruning to resolve the fore-mentioned problem. FCR collects and reassembles contribution from the small norm filters to obtain a mixed contribution collector, and then assigns the reassembled contribution to other filters with higher probability to be preserved. To achieve the target FLOPs, FCR also adopts a weight decay strategy for the small norm filters. To explore the effectiveness of our approach, extensive experiments are conducted on ImageNet2012 and CIFAR-10 datasets, and superior results are reported when comparing with other methods under the same or even more FLOPs reduction. In addition, our method is flexible to be combined with other different pruning criterions.

• Asia pacific journal of information systems
• /
• 제22권3호
• /
• pp.53-74
• /
• 2012

A challenge in fostering virtual communities is the continuous supply of knowledge, namely members' willingness to contribute knowledge to their communities. Previous research argues that giving away knowledge eventually causes the possessors of that knowledge to lose their unique value to others, benefiting all except the contributor. Furthermore, communication within virtual communities involves a large number of participants with different social backgrounds and perspectives. The establishment of mutual understanding to comprehend conversations and foster knowledge contribution in virtual communities is inevitably more difficult than face-to-face communication in a small group. In spite of these arguments, evidence suggests that individuals in virtual communities do engage in social behaviors such as knowledge contribution. It is important to understand why individuals provide their valuable knowledge to other community members without a guarantee of returns. In virtual communities, knowledge is inherently rooted in individual members' experiences and expertise. This personal nature of knowledge requires social interactions between virtual community members for knowledge transfer. This study employs the social capital theory in order to account for interpersonal relationship factors and identity theory for individual and group factors that may affect knowledge contribution. First, social capital is the relationship capital which is embedded within the relationships among the participants in a network and available for use when it is needed. Social capital is a productive resource, facilitating individuals' actions for attainment. Nahapiet and Ghoshal (1997) identify three dimensions of social capital and explain theoretically how these dimensions affect the exchange of knowledge. Thus, social capital would be relevant to knowledge contribution in virtual communities. Second, existing research has addressed the importance of identity in facilitating knowledge contribution in a virtual context. Identity in virtual communities has been described as playing a vital role in the establishment of personal reputations and in the recognition of others. For instance, reputation systems that rate participants in terms of the quality of their contributions provide a readily available inventory of experts to knowledge seekers. Despite the growing interest in identities, however, there is little empirical research about how identities in the communities influence knowledge contribution. Therefore, the goal of this study is to better understand knowledge contribution by examining the roles of social capital and identity in virtual communities. Based on a theoretical framework of social capital and identity theory, we develop and test a theoretical model and evaluate our hypotheses. Specifically, we propose three variables such as cohesiveness, reciprocity, and commitment, referring to the social capital theory, as antecedents of knowledge contribution in virtual communities. We further posit that members with a strong identity (self-presentation and group identification) contribute more knowledge to virtual communities. We conducted a field study in order to validate our research model. We collected data from 192 members of virtual communities and used the PLS method to analyse the data. The tests of the measurement model confirm that our data set has appropriate discriminant and convergent validity. The results of testing the structural model show that cohesion, reciprocity, and self-presentation significantly influence knowledge contribution, while commitment and group identification do not significantly influence knowledge contribution. Our findings on cohesion and reciprocity are consistent with the previous literature. Contrary to our expectations, commitment did not significantly affect knowledge contribution in virtual communities. This result may be due to the fact that knowledge contribution was voluntary in the virtual communities in our sample. Another plausible explanation for this result may be the self-selection bias for the survey respondents, who are more likely to contribute their knowledge to virtual communities. The relationship between self-presentation and knowledge contribution was found to be significant in virtual communities, supporting the results of prior literature. Group identification did not significantly affect knowledge contribution in this study, inconsistent with the wealth of research that identifies group identification as an important factor for knowledge sharing. This conflicting result calls for future research that examines the role of group identification in knowledge contribution in virtual communities. This study makes a contribution to theory development in the area of knowledge management in general and virtual communities in particular. For practice, the results of this study identify the circumstances under which individual factors would be effective for motivating knowledge contribution to virtual communities.

• Journal of Information Science Theory and Practice
• /
• 제3권1호
• /
• pp.66-76
• /
• 2015

This research uses a new approach to analyze the extent of influence journal papers have on the progress of varied research fields by estimation of subject-based influence on research other than impact factor that relies on citation index. It is initiated with the hypothesis that earlier established citation relations between journal and citing paper, which reveals the research field that contains the highest citation index and hence has received the greatest contribution from a particular journal, would have inconsistent contribution to the research field over the year of journal publication. The target research is primarily 128 journal papers and 4,123 citing papers from Information Systems Research published in the years 2001, 2004, 2007, and 2010. The characteristics of citation history and hallmarks of research field of citing papers were studied and analysis on significant distinction between citing fields based on the year of publication was performed. The analysis results show the order of citation rate to be highest from Computer Science (2,221 cases), Business & Economics (2,191 cases), and Information Science & Library Science (1,901 cases). The citation history of the journal, nonetheless, indicates increase in citation during 2-3 years after the earliest publication till it achieves constant citation. The statistical analysis shows significant variation in citing fields in accordance with the publication year; especially in 2010, journal contribution has increased in the fields of Business & Economics, Operations Research & Management Science, and Health Care Sciences & Services but, however, is reduced in Education & Educational Research and Social Sciences - Other Topics.

• 가족자원경영과 정책
• /
• 제2권2호
• /
• pp.21-37
• /
• 1998

The purpose of this study was to investigate the hypothesijed a causal model of sujective perception of contribution to the family economy utilijing system theory. The major findings of this study were as follows. 1) The mean score of respondent’s personal subsystems were 3.62 out of 5. And the family solidarity was affected by the following variables in order : housewives’ age, income, type of occupation, degree of resourcefulness recognition, job satisfaction, control orientation, and information utilization. 2) The mean score of managerial subsystems were 3.68 out of 5. And The financial management of housewives was affected by the following variables. in order: housewives’ type of occupation, degree of resourcefulness recognition, control orientation, information utilization. 3) The mean score of housewives’subjective perception of Economic Contribution to the Family was 3.36 out of 5. The sujective perception of contribution to the family economy of the employed housewives were greater than unemployed housewives. 4) It was found that managerial subsystems had mostly effected on sujective perception of economic contribution to the family.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권7호
• /
• pp.2339-2355
• /
• 2021

In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.

• 한국통신학회:학술대회논문집
• /
• 한국통신학회 2004년도 하계종합학술발표회논문초록집
• /
• pp.191-191
• /
• 2004

• The Journal of Asian Finance, Economics and Business
• /
• 제8권1호
• /
• pp.305-315
• /
• 2021

This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.