• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.227-227
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• 2015

The Wairarapa Valley occupies a predominantly rural area in the lower North Island of New Zealand. It supports a mix of intensive farming (dairy), dry stock farming (sheep and beef cattle) and horticulture (including wine grapes). The valley floor is traversed by the Ruamahanga River, the largest river in the Wellington region with a total catchment area of 3,430 km2. Environmental, cultural and recreational values associated with this Ruamahanga River are very high. The alluvial gravel and sand aquifers of the Wairarapa Valley, support productive groundwater aquifers at depths of up to 100 metres below ground while the Ruamahanga River and its tributaries present a further source of water for users. Water is allocated to users via resource consents by Greater Wellington Regional Council (GWRC). With intensifying land use, demand from the surface and groundwater resources of the Wairarapa Valley has increased substantially in recent times and careful management is needed to ensure values are maintained. This paper describes the approach being taken to manage water resources in the Wairarapa Valley and redefine appropriate limits of sustainable water use. There are three key parts: Quantifying the groundwater resource. A FEFLOW numerical groundwater flow model was developed by GWRC. This modelling phase provided a much improved understanding of aquifer recharge and abstraction processes. It also began to reveal the extent of hydraulic connection between aquifer and river systems and the importance of moving towards an integrated (conjunctive) approach to allocating water. Development of a conjunctive management framework. The FEFLOW model was used to quantify the stream flow depletion impacts of a range of groundwater abstraction scenarios. From this, three abstraction categories (A, B and C) that describe diminishing degrees of hydraulic connection between ground and surface water resources were mapped in 3 dimensions across the Valley. Interim allocation limits have been defined for each of 17 discrete management units within the valley based on both local scale aquifer recharge and stream flow depletion criteria but also cumulative impacts at the valley-wide scale. These allocation limits are to be further refined into agreed final limits through a community-led decision making process. Community involvement in the limit setting process. Historically in New Zealand, limits for sustainable resource use have been established primarily on the basis of 'hard science' and the decision making process has been driven by regional councils. Community involvement in limit setting processes has been through consultation rather than active participation. Recent legislation in the form of a National Policy Statement on Freshwater Management (2011) is reforming this approach. In particular, collaborative consensus-based decision making with active engagement from stakeholders is now expected. With this in mind, a committee of Wairarapa local people with a wide range of backgrounds was established in 2014. The role of this committee is to make final recommendations about resource use limits (including allocation of water) that reflect the aspirations of the communities they represent. To assist the committee in taking a holistic view it is intended that the existing numerical groundwater flow models will be coupled with with surface flow, contaminant transport, biological and economic models. This will provide the basis for assessing the likely outcomes of a range of future land use and resource limit scenarios.

• Knowledge Management Research
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• v.22 no.1
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• pp.85-103
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• 2021

While there is a rapid transition to smart work due to COVID-19, not many studies have measured the changes in organizational culture after firm-wide institutionalization of smart work. Through a questionnaire and a series of stakeholder interviews, this study examined how and to what extent employees' perception of organizational culture changed after the introduction of smart work in a large leisure service company H in South Korea. The working culture of the organization is measured as the changes in the organizational members' perception on seven dimensions: strategic innovativeness, organizational flexibility, fair human resource management, rational decision making processes, organizational vitality, trustful collaboration, proactive leadership. The results demonstrated that, after the introduction of smart work, the organizational members' perception on strategic innovativeness, organizational flexibility, organizational vitality, trustful collaboration have declined significantly while the changes in fair human resource management, rational decision making processes, and proactive leadership are insignificant. Though found to be insignificant, follow up interviews revealed that participants think that the role of management leadership is very critical for the smart work systems to be institutionalized successfully. While the smart work may have different effects depending upon industry or organizational characteristics, this study present a case for changes in organizational culture after institutionalizing smart work. Implications are discussed with further research issues at the end.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.180-190
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• 2014

Social network services are increasingly being used in organizational settings to improve relationships among employees and enhance prospects for information exchange and cooperative work. Social Networking Service(SNS) has deeply penetrated organizational job settings, influencing multiple aspects of employee's life. This study is designed to explore the impact of SNS engagement on the job performance mediated as team cooperation and decision making quality effects. Data were collected from 146 employees who use organizational SNS in there company. Factor analysis and structural equation method are employed. Results from a survey accompanied by the substantial impacts of organizational employee's social networking engagement on social learning processes and outcomes. SNS engagement not only directly influences organizational employee's job performance, but also helps their team cooperation and decision making quality from others and adapt to organizational culture, both of which play prominent roles in improving their job performance.

• Archives of design research
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• v.18 no.3 s.61
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• pp.15-24
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• 2005

There is a large waste of time, money, and production through the infelicitous product design process in small and medium enterprises. They don't possess enough career-manpower with respect to design. Especially, the objective and scientific approach process isn't presented very well on the 'establishment concept' of the embodiment phase or 'Sketch and Rendering' of the development phase which are the most important design processes. So, this research is applied to the conception of the AHP method. It uses the basic concept of relativity to decrease risk from the calculational quantity data, and supplement the decision making phase. Generally, human beings can conclude by relative judgement which is more influenceable than absolute judgement. So we must use the relative comparison concept rather than the comparison of two items with variable sketches based on characteristics of human beings. Thus, efficiency judgement is dependent on design sketch comparisons which help the consistency progress of variable alternative plans. We can decrease risk when we chose the final design and increase efficiency of the design decision making. That is now a perfect selection of each alternative's ranking and sensitive design result but this research will provide consistency criterion on filtering and lead to variable design alternatives. The significance of this research is the efficiency method that overcomes differences of character and sensitivity on many phases of the process. Finally, this research proposes a new ideal process that where applied improves quality and evidence of propriety through comparison to existing methods result in method application research for improvement quality.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.36-41
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• 2021

Although the technology for prediction or analysis using artificial intelligence is constantly developing, a black-box problem does not interpret the decision-making process. Therefore, the decision process of the AI model can not be interpreted from the user's point of view, which leads to unreliable results. We investigated the problems of artificial intelligence and explainable artificial intelligence using Blockchain to solve them. Data from the decision-making process of artificial intelligence models, which can be explained with Blockchain, are stored in Blockchain with time stamps, among other things. Blockchain provides anti-counterfeiting of the stored data, and due to the nature of Blockchain, it allows free access to data such as decision processes stored in blocks. The difficulty of creating explainable artificial intelligence models is a large part of the complexity of existing models. Therefore, using the point cloud to increase the efficiency of 3D data processing and the processing procedures will shorten the decision-making process to facilitate an explainable artificial intelligence model. To solve the oracle problem, which may lead to data falsification or corruption when storing data in the Blockchain, a blockchain artificial intelligence problem was solved by proposing a blockchain-based explainable artificial intelligence model that passes through an intermediary in the storage process.

• Korean Journal of Culture and Social Issue
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• v.30 no.3
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• pp.267-298
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• 2024

Childcare support for working mothers is crucial for women's smooth transition into society, career development, and well-being. Based on interviews with 10 Korean working mothers with children aged 0-2, this paper explores the process of utilizing childcare support services, psychological experiences, and plans for work-life balance using the grounded theory analysis method. The analysis revealed three categories: the decision-making process before using the childcare services (past), experiences during the use of childcare support (present), and future plans for work-life balance (future). The decision-making process before using childcare support services consisted of the following categories: seeking information about childcare support services, having family discussions during the decision-making process, the proposer and decision-maker of the services, and the final decision on childcare support services. Experiences during the use of services included economic burdens, changes in postnatal career paths, disparities between expectations and the reality of pre- and post-childbirth, discrepancies between expectations and reality in work-family balance, factors affecting of quality of life, and the division of household and childcare responsibilities with husbands. Plans for future work-life balance included categories such as the desire for career advancement, the desire to maintain a career, the desire for temporary or reduced career commitment, and uncertainty regarding future career plans. Finally, the study investigated whether there were differences in the past and present service usage processes and experiences based on plans for future work-life balance. This research suggests the need for multidimensional support for working mothers' work-family balance and well-being, and highlights the need to reduce uncertainty about women's future careers.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.113-118
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• 2002

Research and Development(R&D) was once considered to be a unique, creative and unstructured process that was difficult, if not impossible, to manage and control. R&D decisions impact the entire enterprise. Therefore, decisions must not be based solely on R&D's perception of what is important or worthwhile. R&D contributions are difficult to measure separately from other functional organizations such as manufacturing and marketing. While some firms are attempting to overcome perceived limitations in traditional accounting-based performance measures using ROI, EVA, others are embracing the use of non-financial measures for decision making and performance evaluation. In particular, many firms are implementing 'Balanced Scorecard(BSC)' systems that supplement traditional accounting measures with non-financial measures focused on at least three other perspectives-customers, internal business processes, and learning and growth. AHP is a popular multi-attribute decision making model that allows for the development of importance rankings. The AHP has been applied in a wide variety of practical settings to model complex decision problems. The former, determine Perspectives and the Key Performance indicator(KPI) through the former research, the latter compose the questionnaire for determine the weight of perspectives and KPIs. And then, make a survey with researchers about 4 perspectives and 18 KPIs. The results will be simulate with Expert Choice 2000 for determine the weights. This results helps establish the firm's business strategy and technology strategy The firm should establish the business strategy to consider market position, business growth potential, and technological capabilities.

• Computers and Concrete
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• v.22 no.3
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• pp.327-336
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• 2018

Increase in population and its daily increasing in our today society results in an increase in housing demand while traditional methods are not applicable. The project preparation and realization processes, based on theoretical and empirical studies, a creation of goods, services, and technologies, are the most important human activities. Selection of effective technological systems in construction is a complex multi-criteria decision-making task. Many decision-makers refuse innovations once faced with similar difficulties. Therefore, using modern materials and methods in this industry is necessary. Modern methods increase quality and construction speed in addition to decrease energy consumption and costs. One of the problems in the way of any project is selecting construction system compatible with the project needs and characteristics. In the present research, different concrete structures such as common reinforced concrete (RC) structure, prefabricated, Insulating Concrete Formwork (ICF), 3D Panel and Tunnel Concrete Formwork (TCF) for buildings with limited floors in Iran are studied and compared from the viewpoint of different criteria like cost, time, applicability and technical characteristics with industrialization approach. Therefore, some questionnaires filled out by construction industry experts in order to compare criteria and sub-criteria in addition to evaluation of optimized structural systems. Then, results of the questionnaires ranked by Analytic Hierarchy Process (AHP) and the most effective alternative selected. The AHP results show that 3D Panel system 36.5%, ICF 21.7%, TCF 19.03%, prefabricated system 13.3% and common RC system 9.3% are the most and the least efficient systems respectively.

• Spatial Information Research
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• v.21 no.1
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• pp.75-86
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• 2013

The use of planning support systems in urban planning and management provides objective information that is beneficial in the decision-making stage. The existing planning support system, however, lacks in the consideration of ecological properties. In this study, a planning support system development that is capable of reflecting ecological elements was set as the ultimate goal. This system can support planning processes ranging from ecological potential anaylsis to alternatives designing and stimulation. Additionally, factors such as soil, water, climate, biotope, ecological network and recreation can be handled according to their natural potentials. The establishment and visualization of land use planning that addresses ecological characteristics based on the analyzed results are possible. Therefore, this system could operate as a framework to assist planners and decision makers through a computer-based system to provide useful ecological information and to allow effective decision-making by analyzing, displaying and visualizing ecological spatial data.

• Journal of the Korea Society for Simulation
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• v.29 no.4
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• pp.85-94
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• 2020

In determining the feasibility of planning and launching railway transportation projects, various decision-making processes are essentially required. LCC(Life Cycle Cost) value including total construction cost and operation cost is estimated in approximation Model with rough guideline. In this study, modeling and simulation-based analysis method is proposed to support the decision making process of railroad transportation and derivation of LCC. Firstly, cost analysis model was constructed by collecting various existing rail transportation business data to enable analyze based on numerical data, and the result were analyzed by DOE(Design Of Experiments) and RSM (Response Surface Method) simulation. Professional commercial software tools were used for effective model construction and simulation. In order to verify the research results, the actual railroad transportation projects were selected, and the results of the analysis were compared.