• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.199-217
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• 1992

The purpose of this study was to examine changes in the household investment planning according to the family life cycle, to improve the household investment planning process, and to develop research model. The results were as follows : Household investment planning varied with stages of the family life cycle because the stock of resources shifted and financial goals changed as the family life cycle stage changed. The main financial goals of family in each stage of the life cycle were the purchasing of house in the establishing stage, children's education and marriage in the extending stage, and the elderly's economic welfare in the diminishing stage. Also, in the Ⅰ & Ⅱ stage the most important investment goals were the purchasing of house, children's education in the Ⅲ stage, children's marriage in the Ⅳ stage, and the elderly's economic welfare in the Ⅴ stage. Therefore, the financial goals were recognized as the important goals underlain the investment-planning goals, and alternatives for the accomplishment of investment-planning goals were determined. The results of this study can contribute to establish the long-run investment planning process and improve the level of household's financial well-being.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.205-213
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• 2012

This study investigated the life cycle of menus and made suggestions on the appropriate time for when new menus should be developed. For this purpose, a total of 636 customers who visited 'T' Restaurant more than 25 times in the past three years were used for analysis. After estimating product life cycles based on sales and selling period, an empirical study was conducted. In terms of product life cycle, a growth stage was observed in the category of pasta and pizza in both stores A and B, whereas sales in the rice category stayed constant. Regarding trend in seasonal sales, a big difference was detected between the two stores. While store A was already in the decline stage of the life cycle in all menu categories, store B remained in the growth stage. In terms of menu life cycle, the product life cycle of long-lived products was observed in the pasta category in both stores A and B. While the pizza category was in the growth stage, the product life cycle of long-lived products was observed in the rice category. It is expected that the results of this study could be useful in development of new menus and product life cycle management to fulfill diverse customer needs in the dining-out business.

• Journal of the Korean Home Economics Association
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• v.41 no.6
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• pp.91-104
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• 2003

Using the 1998 Survey of Consumer Finances(SCF), this study examined the factors associated with the probability of saving by female-headed households in the U.S, and investigated how these factors differ by life cycle stages. Age of children, age of female householders and their retirement status were used to categorize three life cycle stages: first stage - have at least one child under age 18; second stage - under the age of 62 and have no children under age 18; third stage - over the age of 62 and retired. Logistic regression analysis results indicated that those with higher education and income and who were White were more likely to save. An interactive model showed that life cycle stages were significantly related to saving decisions. Female-headed households in the first stage or the third stage were less likely than those in the second stage (reference group) to save. For female-headed households in the first stage and the third stage, the amount of income had significantly positive effects on the decision to save. Also, in the group of households in the first stage, the receipt of welfare assistance increased the probability of saving.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1434-1439
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• 2011

The purpose of this study is based on the optimize the system life cycle cost apply to the advanced systems engineering techniques consideration thought to the system life cycle for the power system which is the one of the major component of the light rail transit system. Generally, the systems engineering techniques apply to the LRT's power systems are not optimize the whole life cycle cost of the power systems because systems engineering management activities are concentrate in performing the key-technology oriented at the construction stage of the dedicated power systems for light rail transit. Through this study, All the stakeholders can be utilize a this advanced systems engineering techniques which is fully considered the life cycle cost through the considering in whole system life cycle (such as concept, design, operation, maintenance and dispose stage as well as construction stage) and adopted by KSX ISO/IEC 15288 system life cycle processes.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.1-11
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• 2015

During the industrial plant system life cycle, required technologies are developed and assessed to analyze their performance, risks and costs. The assessment is called technology readiness assessment (TRA) and the measure of readiness is called technology readiness level (TRL). The TRL consists of 9 levels and through the TRL assessment, the technology to be developed and its components are assigned to their appropriate TRL. TRL assessment should be performed in each life cycle stages to monitor the technology readiness and analyze the potential risks and costs. However, even though the concept of TRL has been largely adopted by numerous organizations and industry, direct and clear assignment of target TRL for each life cycle stage has been overlooked. Direct mapping/assignment of target TRL for each life cycle has benefits as follow: (1) the technical risks condition of each life cycle stage can be better understood, (2) cost incurred if the technology development is failed can be analyzed in each life cycle stage, and (3) more effective decision making because the technology readiness achievement for each life cycle stages is agreed beforehand. In this paper, we propose a steel-making plant system life cycle and TRL assignment to each of the system life cycle stage. By directly assigning target TRL for each life cycle stages, we look forward to a more coordinated (in terms of exit criteria) and highly effective (in terms of technical risks identification and eventually prevent project failure) technology development and assessment processes.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1454-1469
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• 2010

Brands have their own life cycles and exert a great influence on the marketing activities of companies. This study examines the marketing activities according to a brand life cycle and measures the scope of their performances. The research divides a fashion brand life cycle into three stages through the analysis of secondary data, and validates the causal relationship between marketing activities, brand equity, and consumer behavior according to the brand life cycle. A total of 573 responses were analyzed through a factor analysis, path analysis, and paired t-test with SPSS 12.0. The results are as follows: According to the analysis of the relationship between marketing mix and brand equity, distribution strategies are effective at the introduction/growth stage and the continuation stage. Advertisement strategies should be a main focus at the maturity stage for brand awareness. Throughout all the stages, product strategies wield the greatest influence on the brand image. Among brand equity components, the brand image has an influence on consumer behavior at every stage of the cycle while the brand awareness has no significant effect on consumer behavior. The marketing mix component that has the greatest impact on consumer behavior is product. Contrary to general expectations, price has a negative or insignificant effect on consumer behavior at every stage of the cycle. The results illustrated in this study help to understand the life cycle of fashion brands and characteristics different from consumer goods. Thus, fashion companies should identify at which stage their brands are positioned and develop different strategies to fit each stage.

• Journal of Families and Better Life
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• v.2 no.1
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• pp.57-66
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• 1984

This study examines differences in the household saving show significant differences according to the specific stage of family life cycle. 337 housewives in Taegu were interviewed by questionnaire. Analysing method employed are frequency, percentage and Chisquare test. Findings are as follows; 1) The average ratios of household saving show significant differences according to the specific stage of family life cycle. 2) Purposed of household savings had significant differences at each stage of the family life cycle. 3) Selections of financial goods did not have significant differences according to the sage of family life cycle . 4) Selections of financial goods had significant difference according to the purposed of household savings.

• Journal of Families and Better Life
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• v.28 no.4
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• pp.103-115
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• 2010

This study approached the leisure with the step of life cycle, analyzing the process of leisure career and leisure development in individual life. The leisure life cycle leads the other related studies by examining the concepts of continuity, change, leisure socialization, and leisure career. It also analyzes the patterns and the structures of the use of life time, using '2004 Time Use Survey' from the Korea National Statistical Office. As a result, this study suggests new 3 steps of leisure life cycle: participating and expanding stages, selective and concentrating stage, and continuing and absorbed stage. These steps set up the goal of leisure program by the periods. They also can help setting the direction of leisure activities, and can be used as basic data that can make up the leisure activity program models step by step. Moreover, the development of model can be used as valuable information to draw up the plans that can prepare for aging society and demand the support of policy.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.35-51
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• 1986

The purpose of this study is to establish family life cycle of farm and to analyze changes of economic conditions-income, consumption expenditures, savings, assets, and debts-in farm household according to the family life cycle. Income, consumption expenditures, savings, assets, and debts functions are also estimated by age of household head. The data of Farm Household Economy Survey which was conducted in 1983 by Ministry of Agriculture and Fisheries is used in this study. Among total data of 2000, 1603 are analyzed for mean, percentage, and regression using CRISP Program at Office of Rural Development. The results of study can be summarized as follows; 1) Eight stages of family life cycle of farm are established according to the growth of the first child. They are: Establishment stage, Child bearing and preschool stage, Elementary school stage, Middle and high school stage, College and vocational adjustment stage, Period of children's marriage, Re-adjustment stage, and isorganizing stage. 2) The economic conditions of farm household are significantly fluctuated by family life cycle. Among the eight stages, stage Ⅱ is considered relatively comfortable living period and stage Ⅲ, Ⅳ are the most difficult periods of farm household economy. 3) The estimated functions of income, consumption expenditures, savings, assets, and debts by age of household head are as follows; Y(income) = 2, 354, 832+98,456T-1,036T2(F=11.746) C(consumption expenditures) = 81,876+154,976T-1,552T2 (F=37.272) S(savings) = 2,272,956+56,511T+516T2(F=4.262) D(debts) = 903,929+28,300T-438T2(F=3.339) A(assets) = 200,816+1,213,336T-12,930T2(F=21.069) To carry on a reasonable farm household management, a suitable measure to cope with the desire of family and the economic conditions of farm household should be prepared.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2921-2927
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• 2011

Modal Shift from road to rail has been adapted in several countries as one of effective ways of reducing $CO_2$ emissions caused by transport. Generally, effect analysis of $CO_2$ reduction toward modal shift is calculated mainly from use stage and less consideration from other stages of life cycle, even though, in some case of modal shift needs that new line construction or new vehicle manufacturing. In this study, modal shift effect analysis is performed with considering construction, manufacturing vehicle and use stage. As a result we can get total $CO_2$ reduction effect using life cycle thinking and check the necessity of including other life cycle stage not only considering use stage. In conclusion, there is no $CO_2$ reduction effect if the reduction amount of $CO_2$ in use stage is not bigger than allocated annual amount of $CO_2$ in construction and manufacturing vehicle stage. According to this fact, analysing $CO_2$ reduction effect of Modal Shift should be considered not only the use stage.