• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.156-165
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• 2007

The concepts of static seat allocation model has been used widely in the air transportation industry, and proven as a good concepts for managing perishable assets. The paper analyzed, in realistic environment, the volume of Accept Demand and Reject Demand through several times' simulation experiments at each fare level by using C-Program analyzing process applied to upward and downward models of demand, to analyze the change of fare level when upward and downward shifts of fare levels' demand happen at once. As a consequence, I concluded that the revenue of the case to consider the both shifts of demand at each fare level is bigger than that of the case to consider the single shift of demand at each fare level, except the case to downsize the seat allotment at very low price when supply is bigger than demand, with developing a general model concerned with plural fare levels.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.155-164
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• 2020

This study measured the effect of PPL(Product Placement: PPL) in OTT(Over The Top) to search a new advertising revenue model according to the change of viewers' video content consumption patterns. On the first, by two research steps, the experiment was carried out using an eye-tracker and then a survey as the second step was administered asking subjects about their attitude about advertising messages, attitude about brand, and intention to purchase the brands used in the experiments. Specifically, the PPL materials used in the experiments were classified with three parts. This study has the meaning as approaching to the PPL research with new methodology by quantitatively access through the eye tracking of the subjects beyond the conventional qualitative measure that depends only on the memory of them. This research aims to find the possibility of indirect advertising as a new revenue model in the OTT environment.

• Journal of the Korean Society for Railway
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• v.18 no.2
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• pp.149-156
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• 2015

It is necessary to determine real path for urban railway users in order to allocate revenues between urban railway organizations. Out of several algorithms used to determine optimal routes, the k-path algorithm based on link-label has been utilized. However, this k-path algorithm has certain flaws. For example, optimal route can change depending on the travel and walking time, transfer penalty, and so on. Also, this algorithm cannot take into account the characteristics of users, who prefer express train to normal trains. In this paper, an algorithm is proposed to determine one single optimal route based on the traffic card data. This method also can search for an optimal path in conjunction with the railway timetable.

• STI Policy Review
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• v.7 no.2
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• pp.60-84
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• 2016

What impact does the sharing economy have on existing businesses? This paper empirically examines how Uber transformed the taxi industry in New York City. Using a regression model controlling various potential influencing factors, we find no direct evidence that daily trips or revenue per taxi driver decreased since Uber entered the taxi industry. However, a closer investigation into other dimensions of taxi trips reveals that taxi drivers were forced to change their way of doing businesses to retain existing daily trips and revenue. Since Uber crowded out yellow taxis from the central area of Manhattan, yellow taxis responded by serving customers outside of the Manhattan borough. From enlarging their geographical coverage and serving customers that were previously ignored, yellow taxis were able to retain their previous level of taxi trips and market share. We also find that yellow taxis responded by improving their service quality to better serve customers' needs. Our result suggests that incumbents actively responded to Uber's entry and provided substantial benefit to consumers. Combined with the incumbent's response, the sharing economy transformed the existing market in a welfare-enhancing way. This paper provides managerial and policy implication on how incumbents affected by the disruptions of the sharing economy should respond. Even though it might be yet premature to examine the impact of Uber, results suggest that incumbents have effectively defended against Uber's entry so far. We conclude that the sharing economy and the existing economy can create positive value in our society through well-intentioned competition, complementing each other's weaknesses and strengths.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.531-559
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• 2022

It is necessary to study the need for introduction of nuclear energy tax in Korea to internalize the externality cost of nuclear power and to make more balanced taxation system considering LNG and coal power. This study adopts choice experiment method to estimate the willingness to pay (WTP) for possible new tax on nuclear power. The finding is that the tax on nuclear fuel is more preferable to other tax base with KRW2.19/kWh of WTP, compared to KRW1.46/kWh for nuclear waste. The WTP for using the tax revenue to facilitate economic activity is KRW6.39/kWh compared to KRW6.12/kWh of WTP for funding climate change investment. The finding suggests that the design of nuclear power taxation needs to focus more on the use of tax revenue than on the choice of tax base.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.1-14
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• 2023

This study derives quantitative data on how much the fiscal deficit of subway operation agencies can be reduced in the process of charging free rides for the elderly in metropolitan subways during peak periods. In smart card data, every trip of elderly is recorded except fares. Therefore, it is required to establish a methodology for estimating the fares of elderly passengers and distributing them to subway opertation agencies as income. This study builds a simultaneous dynamic traffic allocation model that reflects the assumption that elderly selects a minimum time route based on the departure time. The travel route of the elderly is estimated, and the distance-proportional fare charged to the elderly is calculated based on this, and the fare is distributed by reflecting the connected railway revenue allocation principle of the metropolitan subway operating agencies. As a result of conducting a case study for before and after COVID-19 in 2019 and 2020, it is analyzed that Seoul Metro's annual free loss of 360 billion won could be reduced 6~8% at the morning peak (07:00-08:59), and 13~16% at the morning and afternoon peak (18:00-19:59).

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.55-69
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• 2016

In response to drastic environmental changes, companies have been continuously rebalancing their resources and capabilities to sustain their competitive status or to survive difficult times. The aim of this study is to analyze the effect of sudden environmental changes on the competitive status of a firm and to identify the internal factors that differentiate sustainer and non-sustainer groups. To achieve this goal, we selected 85 representative IT and non-IT companies from the S&P 500 companies and investigated them with respect to the change in their five-year competitive status since the 2008 global financial crisis. As a concrete performance measure, the concept of perceived competitive status (PCS) was introduced, and four distinct PCS categories were identified by using the stock price changes during the selected period. The four distinct PCS categories are "sustaining," "drifting," "deep sunken," and "bouncing back." Discriminant analysis was performed on these four distinct PCS categories. The empirical study conducted showed that revenue and cost efficiency are the most discriminating factors, especially in the economic recovery period. In particular, stronger financial liquidity was observed in high-performing "bouncing back" companies than in the other category companies.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.3
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• pp.133-144
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• 2014

Naver, a leading search engine in South Korea, may show modified and reorganized search results for some trendy and popular keywords; when popular words such as the titles of soap operas and films are searched for,all the detailed and well-organized information regarding them can be presented. By recognizing that search engines may modify and reorganize search results for some popular keywords, we mathematically model the impact of the degree of modification of search results on the search engine's profit to derive its optimal modification degree. We show how the optimal degree of search result modification may change according to the different shapes of the search engine's advertising revenue function.

• STI Policy Review
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• v.6 no.1
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• pp.54-69
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• 2015

Although there is progress in developing green sectors in North America and East Asia, the key challenge facing the expansion of economy-wide green innovation and structural change in these regions is the absence of relevant policy follow-up to the green stimulus enacted during the Great Recession. The boost to green sectors provided by such measures is waning quickly, given that much of the green stimulus focused on energy efficiency. The biggest obstacles to sustaining green growth in North America and East Asiaare major market disincentives, especially the under-pricing of fossil fuels and market failures that inhibit green innovation. A three-part strategy to overcome these obstacles would involve: first, removing fossil fuel subsidies; second, employing market-based instruments to further reduce the social costs of fossil fuel use; and third, allocating any resulting revenue to public support for green innovation and investments. Such a strategy would ensure that green growth is not about promoting niche green sectors but instigating economy-wide innovation and structural transformation in North America and East Asia.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.697-706
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• 2008

Generally, tourism environments are classified as macro or micro environments. Hotel revenues are influenced directly and indirectly by macro and micro environments. This study aims to examine the determinants of the change in macro-environments on hotel revenue. The explanatory variables in this research were wage, exchange rates (ER), consumer price index (CPI) and seasonality. The results of this study were as follows; The CPI and ER significantly affected the hotel food and beverage sales. The seasonality (summer and autumn) and wage significantly affected the hotel room sales. Wage and seasonality (summer and autumn) also significantly affected the total sale on the hotels.