• Journal of the Korean Society for Marine Environment & Energy
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• v.15 no.3
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• pp.198-207
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• 2012

In this study, we investigated the effect of ocean fertilization by deep sea water, using an ecosystem model which contains not only phytoplankton but also zooplankton. The model is based on NEMURO which consists of eleven compartments - two species of phytoplankton, three species of zooplankton, $NO_3$, $NH_4$, $Si(OH)_4$, particulate organic nitrogen, dissolved organic nitrogen and particulate silicon. We introduced nitrogen cell quota in the both species of phytoplankton, and silicon cell quota in the large phytoplankton in addition to the eleven compartments of NEMURO. We made the experiment at Izu Oshima Island in order to investigate the effect of ocean fertilization. In this experiment, we could not find clear differences between the cases with and without deep sea water. We investigated the causes of the experiment results by the model simulations. One of the causes was high concentrations of nutrients in surface seawater used in the experiment. Another was that the increase of total concentration of inorganic nitrogen does not necessarily accelerate the photosynthetic rate because inorganic nitrogen uptake rate is related to the ratio of $NO_3$ to $NH_4$. Because the model can represent the results of the experiment, we investigated the effect of ocean fertilization by deep sea water using this model. We found that the effect of ocean fertilization hardly appeared when the interval of the addition of deep sea water was too short, or the amount of deep sea water was too much. It is supposed that if the addition of deep sea water is too frequent or too much, the dilution of plankton's concentrations will exceed the effect of promoting phytoplankton's photosynthesis.

• Ocean and Polar Research
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• v.25 no.4
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• pp.483-491
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• 2003

Since the red grouper was declared overfished, the Gulf of Mexico Fishery Management Council must prepare a rebuilding plan considering the following alternative management policies: a Total Allowable Catch (TAC), 5-month season closure, 1800-pound trip limit, and a 50-fathom longline boundary. This study was aimed at evaluating the effects of proposed policies for rebuilding the red grouper stock in a 10-year period by developing a bioeconomic model. Under the assumption that the recreation sector was held to its share of TAC (24% of the total quota), the target stock biomass goal was attained in all policies. The NPV was the largest in the 5-month season closure policy if the output price did not fall. There were distributional effects on the different components of the fleets in the 1800-pound trip limit and the 50-fathom longline boundary policy.

• IE interfaces
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• v.17 no.4
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• pp.472-481
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• 2004

In this paper, we propose a linear programming model of supply planning process for the supply chain collaboration strategy of a company. The amount of its supplying quantity relies on outsourcing suppliers heavily. Conversely, the revenues of those suppliers are highly dependent on the supplying quota from the supply network planning of the company. In order to keep the supply stable through collaboration, the company builds such a policy to guarantee the fairness on revenue between the supplies. For this, the supply network plan should keep the capacity utilization ratio even for all the suppliers. But the production capacities are different and the distribution of molds is disproportional through suppliers, so the supply network plan is not easily established with simple arithmetic processes. Therefore, we developed the linear programming model with those target function and constraints minimizing the costs for holding inventory and penalty of delayed delivery, simultaneously guaranteeing the even capacity utilization through suppliers. The proposed model has been applied to real case and the evaluation for the planning result from the model would be followed in order to make sure that our model guarantee on extracting the supply network plan subordinated to the policy. Also we mention about further studies for improvement of the model.

• Journal of Distribution Science
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• v.21 no.9
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• Environmental and Resource Economics Review
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• v.17 no.4
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• pp.775-812
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• 2008

This paper provides a theoretical approach to the New Zealand's Catch-Balancing Regime (CBR) with a reporting requirement under the Individual Transferable Quota (ITQ) system. The enforcement strategy depicted draws on recent literature regarding practical applications of the Revelation Principle. New Zealand's use of CBR-specific instruments such as deemed values, remains to be improved. However, some of its features can constitute a valuable example for regulators seeking to improve their methods of dealing with issues as bycatch or overfishing in order to maintain Total Allowable Catch (TAC) levels under emerging ITQ systems. The enforcement strategy analyzed has the potential to provide a more sustainable and efficient management of the fish stock, reduce discarding and stabilize monitoring costs, while improving the level of reporting compliance.

• Korean Journal of Construction Engineering and Management
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• v.21 no.3
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• pp.39-47
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• 2020

There are two kinds of cost estimate system in construction in china. Quota valuation model is a traditional cost estimate system under the unity of quantity and price, which is easier and has been used for decades. But the Quota valuation model becomes increasingly unsuited to the needs of society with the development of market economy. To meet the needs of China's market economy development and construction works in the field of international cooperation, the Bill of Quantities valuation model was introduced in 2003. However, there are still many shortcomings and deficiencies in the course of implementation of Bill of Quantities valuation model. In addition, interest in the Chinese construction market continues to increase in Korea due to the recent new North Korean policy and China's the Belt and Road policy. This paper aims to examine the cost estimate system of public construction works in China, and to provide basic data for deriving future improvement plans by comparing and analyzing it with standard cost estimate system in Korea.

• Journal of Korean Academy of Nursing
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• v.45 no.6
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• pp.802-811
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• 2015

Purpose: The purpose of this study was to test and validate a model to predict living and brain death organ donation intention in nursing students. The conceptual model was based on the theory planned behavior. Methods: Quota sampling methodology was used to recruit 921 nursing students from all over the country and data collection was done from October 1 to December 20, 2013. Results: The model fit indices for the hypothetical model were suitable for the recommended level. Knowledge, attitude, subjective norm and perceived behavioral control explained 40.2% and 40.1% respectively for both living and brain death organ donation intention. Subjective norm was the most direct influential factor for organ donation intention. Knowledge had significant direct effect on attitude and indirect effect on subjective norm and perceived behavioral control. These effects were higher in brain death organ donation intention than in living donation intention. Conclusion: The overall findings of this study suggest the need to develop systematic education programs to increases knowledge about brain death organ donation. The development, application, and evaluation of intervention programs are required to improve subjective norm.

• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.25-36
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• 2014

Objectives: The self-management of chronic diseases is currently receiving much attention. This study applied an extended technology acceptance model (ETAM) to analyze the factors influencing acceptance of a healthcare smartphone application. Methods: Three hundred people living in Seoul and Gyeonggi who used smartphones were quota sampled. A telephone survey was conducted using a structured questionnaire based on ETAM. A path analysis was carried out using the AMOS 17.0 program, and the model was verified. Results: The analysis revealed significant factors of perceived usefulness (.374, p < .001), enjoyment (.210, p < .001), subjective norms (.168, p < .001), perceived costs (.146, p < .001), and innovativeness (.138, p < .001). Cost directly influenced intention to use health applications; self-efficacy and perceived ease of use indirectly affected intention through innovation and perceived usefulness. Conclusions: This study helped to identify the main factors that influence usage intention of smartphone applications. These findings could contribute to promoting the self-management of chronic disease through future health applications using smartphones.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.221-230
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• 2016

Purpose: This study was conducted to examine the factors associated with meaning in life among elderly female community dwellers aged 65 or older who were living alone. Methods: A quota sample of 222 elderly female living alone was recruited. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Welch's test, Pearson's correlation, and multiple regression using the SPSS 22.0 program. Results: The factors associated with meaning in life included age, education level, perceived economic status, perceived health status, social support, and loneliness. This regression model explained 66% of the variance in meaning in life. Conclusion: Based on the results, comprehensive nursing intervention programs for enhancing meaning in life are required.

• Journal of Distribution Science
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• v.12 no.5
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• pp.5-13
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• 2014

Purpose - We seek feasible strategies to draw customers into a state of attitudinal/behavioral loyalty through perceived quality and perceived risk in the experienced food industry. Research design, data, and methodology - We utilize the LISREL model to examine the cause and effect relationships between customer loyalty, perceived quality, perceived risk, and three marketing proposals (brand image, store image, and promotion). We employed the quota sampling method to conduct the survey questionnaires, collecting365 effective customer samples in coffee shops/stores in Taipei City. Results - We find that store image substantially benefits consumer loyalty through perceived quality. Marketing managers can enhance store environment and atmosphere to elicit both attitudinal and behavioral aspects of customer-perceived quality and loyalty. Conclusions - This is the first paper to investigate simultaneously customer loyalty across brand image, store image, and promotion/marketing proposals in the food industry. Managers can promote brand image and store image at the same time to enhance customer-perceived quality.