• Journal of Distribution Science
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• v.22 no.5
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• pp.27-37
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• 2024

Purpose: Evaluating hotel performance is crucial in the tourism industry, and expanding knowledge through value-centric innovation in distribution is approached from the service-dominant logic perspective. This study aims to explore and enhance understanding of efforts to improve hotel performance by introducing a new concept of significant value-centric innovation in distribution. A novel proposition is presented, synthesizing diverse marketing innovations through the lens of service-dominant logic to foster originality. Research Design, Data, and Methodology: Data from 166 respondents across various levels of hotel structural positions in Indonesia were analyzed using SEM-PLS. The relationship between market orientation and hotel performance was explored using the SEM-PLS technique. Results: The findings indicate that market orientation contributes to enhancing hotel performance. Additionally, value-centric innovation in distribution is crucial in addressing inconsistencies observed in previous studies and indicators related to variables significantly affecting hotel performance. Moreover, value-centric innovation in distribution directly improves performance indicators. Conclusions: The practical implication of this research is leveraging market orientation to enhance hotel performance. Hotel owners are encouraged to effectively implement value-centric innovation in distribution by fostering collaboratively generated shared value creation.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.39-66
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• 2016

There is growing evidence that professional work is changing as a result of the application of information technology (IT). However, the impact of information technology on professional work has produced mixed results. Our paper considers the source of these mixed results through a greater analytical attention paid to the nature of professional work. Defined as work involving expertise expressed through abstract and formalized knowledge as well as extensive working knowledge, the professional work logic assumes the greatest autonomy and discretion for workers in collectively controlling work characteristics-division of labor and its permanence, control over education, and control over new entrants and the monitoring and disciplining of existing members. The impact of IT on professional work will be difficult to control and predict without considering the assumptions and tensions within and across the three major types of work logics (Professional, Market and Bureaucratic). Using healthcare as an example, the paper provides various propositions for researching the initiation and effects of ICT design through these three work logics. These propositions illustrate the active role that IS researchers can take in researching an important economic and work-related topic, professional work, and in understanding how ICT affects work-related expertise.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.1
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• pp.45-50
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• 2001

With increasing complexity of digital logic circuits, fast and accurate verification of functional behaviour becomes most critical bottleneck in meeting time-to-market requirement. This paper presents several techniques for accelerating a cycle-based logic simulation. The acceleration techniques include parallel pattern logic evaluation, circuit size reduction, and the partition of feedback loops in sequential circuits. Among all, the circuit size reduction plays a critical role in maximizing logic simulation speedup by reducing 50% of entire circuit nodes on the average. These techniques are incorporated into a levelized table-driven logic simulation system rather than a compiled-code simulation algorithm. Finally, experimental results are given to demonstrate the effectiveness of the proposed acceleration techniques. Experimental results show more than 27 times performance improvement over single pattern levelized logic simulation.

• Korean journal of communication and information
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• v.51
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• pp.136-155
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• 2010

Media diversity, coupled with the logic of competition in the global media market, has become a fashionable yet unfitting lingo of media policy in Korea. Media diversity has been fenced in the neoliberal economic logic of market competition and so tamed to consumers' free choice in the market. It is within this context that this article attempts to problematize narrowly-defined, market-oriented, and measurement-obssessed funtionalistic approaches to media diversity. In doing so, the article provides a critical overview of various definitions of media diversity. It also reveals how certain definitions, justifications, and measurements are legitimized and normalized in the name of science and objectivity. The core argument is that reflecting a larger neoliberal, deregulatory turn in media policy, media diversity has shifted from the pluralistic principle of democracy to the matter of free market choice or the myth thereof. It then focuses on the ongoing debate between state interventionists and free market liberals over the relationship between media ownership concentration and content diversity. Finally, it puts forth some recommendations as to how media diversity ought to be reconsidered as reformers' cultural politics, rather than marketeers' science, and discusses implications diversity has for deepening Korean democracy.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.439-451
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• 2021

The study aims to investigate the process employed by companies to intentionally create market categories through implementation of product strategy. Much of the research on market category formation focuses on the spontaneous emergence of market categories, with a few studies focusing on the intentional creation of market categories. In the course of this study, I therefore sought to understand the logic by which companies intentionally create market categories, by treating the process through which market categories are formed as a sensemaking process, and by treating the behavior of a company intentionally forming a market category as an effort to manage this sensemaking process. In empirical study, we conducted an exploratory case analysis through content analysis of company press releases and consumer reviews. It is possible that market categories can be formed or changed if the way in which they are shared among market participants can be changed. In this study, we identified two sense-giving activities for the creation of market categories by firms as follows: (1) reorganizing market categories that flat-panel TV manufacturers in the North American market have attempted to form into subcategories of smart TVs, and (2) connecting them to surrounding categories through strategic labeling to establish new categories.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.43-58
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• 2014

As the use of trading systems has increased rapidly, many researchers have become interested in developing effective stock market prediction models using artificial intelligence techniques. Stock market prediction involves multifaceted interactions between market-controlling factors and unknown random processes. A successful stock prediction model achieves the most accurate result from minimum input data with the least complex model. In this research, we develop a combination model of ${\pi}$-fuzzy logic and support vector machine (SVM) models, using a genetic algorithm to optimize the parameters of the SVM and ${\pi}$-fuzzy functions, as well as feature subset selection to improve the performance of stock market prediction. To evaluate the performance of our proposed model, we compare the performance of our model to other comparative models, including the logistic regression, multiple discriminant analysis, classification and regression tree, artificial neural network, SVM, and fuzzy SVM models, with the same data. The results show that our model outperforms all other comparative models in prediction accuracy as well as return on investment.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.7-12
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• 2003

In recent years, many attempts have been made to predict the behavior of bonds, currencies, stock or other economic markets. Most previous experiments used the neural network models for the stock market forecasting. The KOSPI 200 (Korea Composite Stock Price Index 200) is modeled by using different neural networks and fuzzy logic. In this paper, the neural network, the dynamic polynomial neural network (DPNN) and the fuzzy logic employed for the prediction of the KOSPI 200. The prediction results are compared by the root mean squared error (RMSE) and scatter plot, respectively. The results show that the performance of the fuzzy system is little bit worse than that of the DPNN but better than that of the neural network. We can develop the desired fuzzy system by optimization methods.

• The Journal of Fisheries Business Administration
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• v.28 no.2
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• pp.67-85
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• 1997

The subject of this study is limited to the market of producting and the analyzed the change of the supply structures, but the wide range of the study also contains the relationship present movement of consumption and the supply stuctures. To put it concretely, the present movement of the structre and the development of the market of producting are examined with the fisheries processing firms. The factors which dominate the structure of fisheries processing are; first, fisheries products as raw materials of processing; second, man-power; third, processing facilities and techniques; forth, a market where the products will be consumed. In particular, the conditions of supply of raw materials which are major factor have been worse and worse due to exhaustion of marine resources and so the capacity of fisheries production has been reduced. Furthermore, the conditions of manpower also are in trouble. Under the conditons, raw materials are imported largely and many companies try to make overseas enpansion for cheap manpower and raw materials. Particulaly, the relationship between consumption market and the structure of processing in a place of producton is analyzed newly. I try to show new logic that demands of consumption market are reflected strongerly to production with the development of consumption market and the rights of decision on the choice of raw materials and a processing item have been handed over to consumption market. In a word, I try to examined closely the new supply structure of fisheries products and the structure of consumption market through the analysis of the structure of processing in a place of production.

• International Journal of Safety
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• v.11 no.2
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• pp.15-21
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• 2012

This paper is aimed to develop an electrical fire detection system (EFDS) which can analyze the possibility of electrical fire for overcurrent, leakage current and arc signals of panel board in traditional market shop. The EFDS adopted fuzzy logic and precursory data for overcurrent, leakage current and arc signals to evaluate the possibility of electrical fire. The signals are obtained directly from panel board in traditional market shops and fuzzy membership function is obtained from experiment, simulation, expert's advice. The overcurrent data is acquired by thermal data of normal and abnormal states (partial disconnection) on the insulated electrical wire, in accordance with the increase of the current signal, The leakage current data is obtained under various environments. The arc signal is acquisited by waveforms of instantaneous value in time domain and frequency band in frequency domain. The Fuzzy algorithm for DB of EFDS consists of fuzzification, inference engine by Mamdani's method and defuzzification by center of gravity method. In order to verify the performance and reliability of EFDS, it was applied to Jeon-Ju traditional market shops (90 shops) in Korea. Results show that EFDS in this paper is useful in alarming the fire case, which will prevent severe damage to human beings and properties, and reduce the electrical fires in a vulnerable area of electrical disaster.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.535-545
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• 2019

If the real estate auction market indicators are relevant and meaningful, they can be meaningful information to the real estate market in connection with general real estate. The purpose of this study is to examine whether time-supply logic is applied in auction market by identifying time series correlations for the number of auctions, the auction rate, and the auction price rate, which are major indicators of real estate auction market. The real estate types were classified into three categories: residential real estate, land, and commercial real estate. The monthly time series of auctions in the metropolitan real estate were compiled for 96 months. Based on this data, the auction market model for each type was established and the mutual influences between the indicators were analyzed. As a result, the supply and demand indicators, the number of auctions and the auction rate, showed the nature of supply and demand according to the supply and demand logic of the market. However, the correlation was high for residential real estate and relatively low for commercial real estate. the auction rate has a long-term impact on price indicators, especially residential real estate, which is quantitatively explanatory and significant. The three auction-related indicators differ in degree, but there is a correlation, especially for residential real estate, which can be useful information for policy making.