• Journal of Agricultural Extension & Community Development
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• v.26 no.2
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• pp.57-68
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• 2019

This paper was done as an exploratory study aiming to identify the relationship between small group characteristic factors and perceived performance in the Village Development Committee (VDC) in Saemaul Undong project in Laos. The data were gathered from 166 members in 17 VDCs in Vientian province, however 135 questionnaires were used in analysis. Structure Equation Model was applied in the analysis with Amos 21. The major finding of this study were as follows; firstly decision making was more influenced by task cohesion than social cohesion, secondly organizational citizen behavior was influenced by both task cohesion and social cohesion. However, social cohesion had more influence than task cohesion, thirdly the VDC members learned their technical knowledge from decision-making process, and influenced to their perceived performance level and to VDC sustainablity, and fourthly in overall, committee members implemented their jobs based on task-oriented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.717-724
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• 2014

Although team cohesion can be a double-edged sword, empirical studies have focused positive effect of team cohesion. This study claims that team cohesion can be divided social task cohesion, so we can investigate positive effect of social cohesion and negative effect of task cohesion on technological innovation. Cohesion emphasize homogeneity, thus creativity supporting team climate alleviate negative effect of social cohesion and increase positive effect of task cohesion. This study has used materials collected from 205 NPD teams The results show negative effect of social cohesion(${\beta}$=-.19, p<.01), positive effect of task cohesion(${\beta}$ =.18, p<.05), positive interactive effect between social cohesion and creativity supporting team climate(${\beta}$=.14, p<.10) and positive interactive effect between task cohesion and creativity supporting team climate(${\beta}$=.16, p<.05) on technological innovation.

• Journal of the Korean Home Economics Association
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• v.33 no.3
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• pp.71-84
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• 1995

The purpose of this study is to investigate the effect of wives' demographic variables, the family cohesion and adaptability perceived by dual-career wives on household task performance. The subject of this study were 391 employed professional wives working in seoul. Using the questionnary, the data was obtained and the data was analysed by percentile, frequency, ANOVA, multiple regression. The results were as follows. 1) the family cohesion and adaptability scores showed a little higher than those of previous research. Number of children, age of the youngest child and family pattern were statistically significant in the family cohesion, number of children and family pattern were statistically significantly in the family adaptability. 2) The division of housework by family members was influenced by the family adaptability and family pattern. The family cohesion was a significant determinant of the division of housework by husband. The standard of housework was influenced by wives' age, the family cohesion and a housework time.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.957-964
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• 2005

According to rapid growth of web environment, user interface design needs to support the complex interactions between human and computer. In the paper we suggest the object modeling method for Qualify Improvement of User Interface. We propose the 4 business event's object modeling phases such as business event object modeling, task object modeling, transaction object modeling, and form object modeling to enhance visual cohesion of UI. As a result, this 4 phases in this paper allows us to enhance visual cohesion of User Interface prototype. We have found that the visual cohesion of business events become strong and unskilled designer can develope the qualified user interface prototype. And it also improves understanding of business task and reduces prototype system development iteration.

• Speech Sciences
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• v.12 no.4
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• pp.237-245
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• 2005

The purpose of this study was to investigate the characteristics for cohesion in the narratives of fluent aphasics. Ten fluent aphasics and ten normal adults matched chronological-age and education level with aphasics participated in this study. Story retelling task was given to the participants individually. And all narratives they produced were recorded and transcribed for analysis. The frequency of cohesive markers and the rate of accuracy were analyzed. The result were as follows; (1) The fluent aphasics used cohesive devices significantly less than the normal adult group, and the rate of accuracy of cohesive devices used was lower than the normal adults. (2) Both groups used lexical cohesion more than pro-forms and ellipsis, and the difference of two groups was larger in lexical cohesion than pro-forms and ellipsis. (3) The fluent aphasics used lexical cohesion more accurately than pro-forms and ellipsis but the normal adults used all three cohesive markers accurately. The difference of two groups was large in pro-forms and ellipsis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.101-111
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• 2016

Startup has lot of limitation such as time and budget shortage, and few human resources, and may be under the very stressful condition. Naturally in these context, there is always conflict among the startup team members, but the impact of conflict on teamwork or team performance has not been empirically tested. This study examines the relationship among the conflict, teamwork and team performance in startup context. Different two types of conflict and four factors of teamwork for team performance are identified from a literature review and tested; task conflict and relationship conflict as antecedents, teamwork was composed of communication, collaboration, coordination and cohesion, leading to team performance. 142 data points were collected from startup representatives to test these hypotheses. PLS data analysis indicated that the task conflict positively effects on all teamwork factors, but relationship conflict has statistically significant effect on only two teamwork factors, collaboration and coordination in negative relationship. Teamwork factors effects on team performance except communication. Based on the results, we proposed practically several team management skills for startup managers, leaders and even members, and explained theoretical contributions.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.4
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• pp.75-93
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• 2016

This study aims at analyzing the relationship between team characteristic and innovation performance. The mediating effect of creative climate on the team characteristic and innovation performance is also measured. Based upon literature review, individual creative characteristics, team diversity, team cohesion, task characteristics are presented as antecedents of team characteristic. Creative climate affects the creative behavior and innovative performance. Creative climate is measured as the Team Climate Inventory (TCI) proposed by Anderson & West (1998) including goal, participative-autonomy and innovative-support. Data were collected from 186 survey responses (54 Teams) out of total 462 (69 teams) from the R&D department of a major ICT firm in Korea. Empirical results show the diversity, cohesion, job characteristic, individual creative characteristic have a positive effect on the creative climate and innovation performance. The participative-autonomy climate factor appears to mediate the relationship between team characteristic (diversity, cohesion, job and individual characteristics) and innovation performance. However, the mediating effects of goals and innovative-support factors were not significant statistically. It was confirmed that the organization can contribute to improve the team innovation performance by facilitating a autonomy and participative climate as well as fostering the team characteristic.

• Journal of the Korea Society of Computer and Information
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• v.9 no.4 s.32
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• pp.61-69
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• 2004

The user interface design needs to support the complex interactions between human and computers. It also requires comprehensive knowledges many areas to collect customer's requirements and negotiate with them. The user interface designer needs to be a graphic expert, requirement analyst, system designer, programmer, technical expert, social activity scientist, and so on. Therefore, it is necessary to research on an designing methodology of user interface for satisfying various expertise areas. In the paper, We propose the 4 business event's abstract object visualizing phases such as fold abstract object modeling, task abstract object modeling, transaction abstract object modeling, and form abstract object modeling. As a result, this modeling method allows us to enhance visual cohesion of UI, and help unskilled designer to can develope the higy-qualified user interface.

• Korean Management Science Review
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• v.21 no.1
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• pp.87-111
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• 2004

Today's organizations make every effort to achieve effective knowledge management. under the recognition that knowledge is a powerful. competitive weapon. For knowledge management to be successful, however, not only should knowledge be voluntarily offered by organizational members but also the organizational ownership of knowledge be perceived among members. In this regard. this study explores antecedent factors of organizational ownership of knowledge based on the extension of previous studies. The analysis of two hundred and fifty-five survey data indicates that cohesion of department or team, propensity to share, and task interdependence are significantly related to organizational ownership. The relationship turns out to be stronger with tacit knowledge than with explicit knowledge. Some suggestions are proposed for enhancing effective knowledge management.

• Computers and Concrete
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• v.31 no.4
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• pp.307-314
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• 2023

In this paper we back-analyze a failure event of a 9 m high concrete cantilever wall subjected to earth loading. Granular soil was deposited into the space between the wall and a nearby rock slope. The wall segments were not designed to carry lateral earth loading and collapsed due to excessive bending. As many geotechnical programs rely on the Mohr-Coulomb (MC) criterion for elastoplastic analysis, it is useful to apply this failure criterion to the concrete material. Accordingly, the back-analysis is aimed to search for the suitable MC parameters of the concrete. For this study, we propose a methodology for accelerating the back-analysis task by automating the numerical modeling procedure and applying a machine-learning (ML) analysis on FE model results. Through this analysis it is found that the residual cohesion and friction angle have a highly significant impact on model results. Compared to traditional back-analysis studies where good agreement between model and reality are deemed successful based on a limited number of models, the current ML analysis demonstrate that a range of possible combinations of parameters can yield similar results. The proposed methodology can be modified for similar calibration and back-analysis tasks.