• Journal of KIBIM
• /
• v.7 no.3
• /
• pp.40-48
• /
• 2017

It only takes one failed project to wipe out an entire year's profit, when the projects are not managed efficiently. Additionally, escalating costs of materials and a competitive local construction market make subcontractors a challenge. Subcontractors have finite resources that should be allocated simultaneously across many projects in a dynamic manner. Significant scheduling problems are posed by concurrent multi-projects with limited resources. The objective of this thesis is to identify the effect of productivity changes on the total cost resulting from shifting crews across projects using a descriptive model. To effectively achieve the objective, this study has developed a descriptive cost model for a subcontractor with multi-resources and multi-projects. The model was designed for a subcontractor to use as a decision-making tool for resources allocation and scheduling. The model identified several factors affecting productivity. Moreover, when the model was tested using hypothetical data, it produced some effective combinations of resource allocation with associated total costs. Furthermore, a subcontractor minimizes total costs by balancing overtime costs, tardiness penalties, and incentive bonus, while satisfying available processing time constraints.

• Journal of the Korean Home Economics Association
• /
• v.44 no.11
• /
• pp.35-42
• /
• 2006

A criticism model for dress was developed to offer a methodological insight into research on aesthetics of dress. Concepts from Edmund B. Feldman's art criticism model, James D. Carney's style-relative model of art criticism, and Sung Bok Kim's fashion criticism model were borrowed and integrated to create a criticism model for dress, comprising identification of styles, descriptive features, aesthetic value features, external interpretation, socio-cultural interpretation, and evaluation. Both inductive and deductive approaches for the identification of styles can be made in the process of dress criticism. In the former case, descriptive features and aesthetic features are sequentially identified to locate the styles of dress. In the latter case, styles are identified first, and descriptive features and aesthetic features are identified accordingly. Logical criticisms can be made based on the critics' background knowledge of the history of dress and art.

• Asia pacific journal of information systems
• /
• v.29 no.4
• /
• pp.644-672
• /
• 2019

Negative consequences incurred from employees' non-work-related computing (NWRC) have been one of the security-related issues in information intensive organizations. While most studies have focused on the factors that motivate employees to engage in NWRC, this study examines the mediating effect of moral beliefs on the relationship between sanctions and NWRC using a moral beliefs-based model. The research model posits that the formal (i.e., punishment severity and detection certainty) and informal sanctions (subjective norms and descriptive norms) enhance employees' moral beliefs against NWRC intention. From a cross-sectional scenario-based survey involving 176 employees working at banks in Mongolia, our results indicate that moral beliefs fully mediate the relationship between detection certainty/subjective norms and NWRC intention and act as a partial mediator in the relationship between descriptive norms and NWRC. The findings from this study present empirical evidence that both informal and formal sanctions could be an effective deterrent for NWRC intention through employees' moral beliefs.

• Korean Journal of Adult Nursing
• /
• v.26 no.1
• /
• pp.78-88
• /
• 2014

Purpose: The purpose of this study was to construct a structural equation model (SEM) that would describe the binge drinking among Korean undergraduate students. Methods: Model construction was based on the theory of planned behavior and prototype/willingness model, using the variables; intention, attitude, descriptive norm, and prototype perception of binge drinking, alcohol use disorders identification test (AUDIT), and binge drinking behavior. The analysis of data was done with both SPSS 20.0 for descriptive statistics and AMOS 20.0 for SEM. Results: The binge drinking intention was found to have a significantly direct effect in influencing binge drinking behavior. In addition, attitude, descriptive norm, and prototype perception of binge drinking were found to have a significantly direct effect in influencing binge drinking intention. The final modified model yielded $x^2$=374.2 (p<.001), df=174, $x^2/df$=2.15, GFI=.87, AGFI=.82, NFI=.89, PNFI=.73 RMSEA=.07, and CFI=.94. Conclusion: This study constructed a model that addressed the factors related to binge drinking and described the relationship of these factors in influencing binge drinking among Korean undergraduate students. Findings from this study can contribute to designing appropriate prevention strategies to reduce problem related binge drinking in undergraduate students.

• The Korean Journal of Financial Management
• /
• v.2 no.1
• /
• pp.21-34
• /
• 1986

The purpose of this study is to analyse the risk and uncertainty involved in the capital budgeting which is executed in long periods and requires massive capital expenditure. Under risk and uncertainty conditions, the estimates in the capital budgeting are random variables rather than known constants. Two approaches have emerged in performing economic analysis that explicitly incorporate risk and uncertainty conditions in the analysis. One approach is to develop a descriptive model which describes the economic performance of an individual investment alternative. But no recomendation would be forthcoming from the model. Rather, the decision-maker would be furnished descriptive information concerning each alternative; the final choice among the alternatives would required a separate action. The second approach is to develop a normative model which includes an objective function to be maximized or minimized. The output from the model prescribes the course of action to be taken. Owing to the fact that the normative approach considers the fitness of criteria for decision-making its reasonableness looks better. But it is almost imposible that we correctly and easily derive the individuals' utility function. So within we recognize the limits of the descriptive methods, it is more practicle to analyse the investment alternatives by sensitivity analysis.

• Journal of the Korean Chemical Society
• /
• v.60 no.5
• /
• pp.353-361
• /
• 2016

The goal of this study was to examine the current status of science teachers’ stage of concern (SOC) and level of use (LoU) on descriptive assessment and determine the relationship between SoC and LoU. To achieve this, concerns-based adoption model (CBAM) was used, and a survey was conducted on 138 science teachers. The data from this study were analyzed by frequency analysis, percentile analysis based on CBAM, χ² test, and Spearman correlation analysis. SoC and LoU of the science teachers observed in this study are as follows. First, the science teachers’ overall SoC for the descriptive assessment was low and showed a typical pattern of the initial stage when the program was introduced. Second, LoU analysis on descriptive assessment showed that the “mechanical Use” (N=49, 35.5%) or “routine” (N=48, 34.8%) accounted for the majority. Third, the Spearman correlation between SoC and LoU on descriptive assessment was .299(p<.01). This suggests that teachers’ SoC needs to be increased in order to promote higher LoU on descriptive assessment, which requires new alternative measures.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.51-60
• /
• 2023

This study aims to examine factors influencing the intention to continue using the metaverse, focusing on the impact of social norms. Specifically, direct and indirect effects of technical characteristics (perceive quality, interactivity, perceived playfulness), user characteristics (self-efficacy, personal innovativeness), and social influence factors (descriptive norm, injunctive norm, subjective norm) on continuous use intention were examined. The role of perceived ease of use and perceived usefulness as a mediator was also examined. An online survey was conducted with 165 college students attending universities in two large cities in South Korea who had used the metaverse. As a result, perceived playfulness, descriptive norm, and perceived usefulness directly influenced continuous use intention. Perceived playfulness, interactivity, and subjective norm influenced continuous use intention indirectly through perceived usefulness. This study theoretically extends the Technology Acceptance Model by specifying social influence in metaverse contexts. Practical implications are provided in terms of marketing strategy for the metaverse industry to continue to grow and develop.

• Korean Journal of Cognitive Science
• /
• v.4 no.2
• /
• pp.115-143
• /
• 1994

In this paper,I present an extended two-level model using LR parsing techniques.The LR-based two-level model not only guarantees effcient morphological processing but also achieves a higher degree of descriptive adequacy than Koskenniemi's original model.The two-level model is augmented with an independent morphosyntactic module based on feature-based CF word grammar.By adopting a CF word grammar,our model is capable of dealing with complex words with discontinuous dependencies without having duplicate lexicons.It is shown how LR predictions manifested in the parsing table can help the morphological processor to minimize the dictionary lookup process.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.8
• /
• pp.17-25
• /
• 2013

TIn this paper, we propose a model automatically scoring a student's answer for a descriptive problem by using a voting method. Considering the model construction cost, the proposed model does not separately construct the automatic scoring model per problem type. In order to utilize features useful for automatically scoring the descriptive answers, the proposed model extracts feature values from the results, generated by comparing the student's answer with the answer sheet. For the purpose of improving the precision of the scoring result, the proposed model collects the scoring results classified by a few machine learning based classifiers, and unanimously selects the scoring result as the final result. Experimental results show that the single machine learning based classifier C4.5 takes 83.00% on precision while the proposed model improve the precision up to 90.57% by using three machine learning based classifiers C4.5, ME, and SVM.

• Journal of Korean Society of Archives and Records Management
• /
• v.17 no.1
• /
• pp.93-115
• /
• 2017

In this study, the RiC-CM (Records in Context-Conceptual Model) draft of the International Council on Archives Expert Group on Archival Description (ICA EGAD) was analyzed, mapped with the descriptive elements of ISAD(G), and the archival description of the record group based on RiC-CM was piloted. This was done to identify trends in the archival descriptive standards and to derive considerations in relation to improving existing descriptive standards. The mapping types of RiC-CM and ISAD(G) include inter-attribute mapping, attribute-entity mapping, and attribute-relation mapping. In addition to the mapping between descriptive elements, a frame for the archival information that can construct a record through the objects, attributes, and relationships of RiC-CM is constructed using the protege, and the example data is inputted for trial. As a result, it was possible to express most of the existing descriptive information of ISAD(G) through RiC-CM. In addition, in RiC-CM, the recording descriptive information is classified in detail, and the characteristic of browsing the relation between individual objects is enhanced.