• The Journal of Information Systems
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• v.26 no.3
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• pp.229-246
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• 2017

Purpose The purpose of this study is to examine the potential asymmetry in price competition between the geographically defined submarkets of the lodging industry, namely the traditional and alternative accommodation facilities. Design/methodology/approach The study utilizes a spatial econometric model to empirically test for the hypothesized asymmetry in price competition. Property-level panel data on hotels and alternative accommodation facilities collected from a major online travel agency (OTA: Agoda.com) was used for this purpose. Findings Result of the analysis shows significant intra-segment spatial price competition among the properties, that is, within hotels and within alternative accommodation submarkets, respectively. However, the inter-segment competition was found to be asymmetric as hypothesized. Room rates of hotels are influenced by prices of geographically close alternative accommodations, but the reverse does not hold. Implications for practitioners and suggestions for future research are discussed along with the findings of the study.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.21-41
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• 2019

Thanks to the rapid development of information technologies, the data available on Internet have grown rapidly. In this era of big data, many studies have attempted to offer insights and express the effects of data analysis. In the tourism and hospitality industry, many firms and studies in the era of big data have paid attention to online reviews on social media because of their large influence over customers. As tourism is an information-intensive industry, the effect of these information networks on social media platforms is more remarkable compared to any other types of media. However, there are some limitations to the improvements in service quality that can be made based on opinions on social media platforms. Users on social media platforms represent their opinions as text, images, and so on. Raw data sets from these reviews are unstructured. Moreover, these data sets are too big to extract new information and hidden knowledge by human competences. To use them for business intelligence and analytics applications, proper big data techniques like Natural Language Processing and data mining techniques are needed. This study suggests an analytical approach to directly yield insights from these reviews to improve the service quality of hotels. Our proposed approach consists of topic mining to extract topics contained in the reviews and the decision tree modeling to explain the relationship between topics and ratings. Topic mining refers to a method for finding a group of words from a collection of documents that represents a document. Among several topic mining methods, we adopted the Latent Dirichlet Allocation algorithm, which is considered as the most universal algorithm. However, LDA is not enough to find insights that can improve service quality because it cannot find the relationship between topics and ratings. To overcome this limitation, we also use the Classification and Regression Tree method, which is a kind of decision tree technique. Through the CART method, we can find what topics are related to positive or negative ratings of a hotel and visualize the results. Therefore, this study aims to investigate the representation of an analytical approach for the improvement of hotel service quality from unstructured review data sets. Through experiments for four hotels in Hong Kong, we can find the strengths and weaknesses of services for each hotel and suggest improvements to aid in customer satisfaction. Especially from positive reviews, we find what these hotels should maintain for service quality. For example, compared with the other hotels, a hotel has a good location and room condition which are extracted from positive reviews for it. In contrast, we also find what they should modify in their services from negative reviews. For example, a hotel should improve room condition related to soundproof. These results mean that our approach is useful in finding some insights for the service quality of hotels. That is, from the enormous size of review data, our approach can provide practical suggestions for hotel managers to improve their service quality. In the past, studies for improving service quality relied on surveys or interviews of customers. However, these methods are often costly and time consuming and the results may be biased by biased sampling or untrustworthy answers. The proposed approach directly obtains honest feedback from customers' online reviews and draws some insights through a type of big data analysis. So it will be a more useful tool to overcome the limitations of surveys or interviews. Moreover, our approach easily obtains the service quality information of other hotels or services in the tourism industry because it needs only open online reviews and ratings as input data. Furthermore, the performance of our approach will be better if other structured and unstructured data sources are added.

• Korean Business Review
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• v.6
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• pp.135-152
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• 1993

The optional market segmentation pricing policy for rooms of hotels are investigated under the assumption of a linear demand function, and for four different situations: (1) single price market, (2) optimal segmentation of the unused capacity of a single-price-maeket, (3) optimal segmantation for all rooms, and (4) opimal segmentation for infiltration from higher priced to adjacent lower priced segments. The purpose of tis study is th show that with proper pricing policy, it would be possible to increase profits considerably. Such a profit increase might be achived by market segmentation coupled with product differentiation, where the different market segments are identified, sperated, and in each segment a different price per room is called for. The different prices are determined based on the specific price elasticity typical for each market segment and the relavant costs. The pricing model implied in this study is based on basic economic pricing theory and optimization techniques. While somewhat complex in its mathmatical solution, it can be easily programmed for use by practitioners, avoiding the need to cope with the technical aspects of the solution. In section II-1, the optimal single-market Single-price policy is evaluated. The optimal strategy under the constraint that only the previously unutilized rooms are segmented is analysed in section II-2, while the optimal strategy without this constraint is determined in section II-3. In section II-4, the optimal market-segmentation pricing policy is derived for the case in which market seperation is allowed for all the rooms under the assumption of custtomer infiltration from each market segment to the adjacent lower priced segment Finally, some considerations relating to the practicality of the model as a decision support tool and the requirements for its implementation are discussed in section III.

• Explosives and Blasting
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• v.13 no.4
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• pp.5-27
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• 1995

Korea-America tungsten treaty is not only Earnning Us Dollar but also it was turnning point of tunnelling technology development such as a burn cut. Because 10th of specialist worked at Sangdong mine under treaty. The first of all, Experimental blasting pattern for single free face carried out. As a result it has brought the burden and $charge/m^3$ and also space distance. After the center holes are blasted. Remain of the works was the implementation of bench cut against the openning to make the full sectional are required. $Ca=\frac{A}{SW}$ where as A =ndi=m activated area S = Peripheral length of Charged room Ca = Rock Coefficient di=Holes diameter Later in 1980, The Oynaite Explosive is Replaced into Emulsion & Milli-Second Delay Electric Cap. Seqential Blasting machine were Applied in the Site. The Subway Tunnelling have been worked so Carefully for Vibration and Noise to near Shopping and housing area. We carried out Empirical formula to solve city Envoirement pollution as follow For Granite: $V=KW^{0.57}D^{-1.75}$ For Granite : $V=KW^{0.5}D^{-1.5}$ V=PPV(cm/sec) K=Coefficency D=Distance(m) W=Amount of power/delay(kg)

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.15 no.2
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• pp.55-60
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• 2009

Gochujang was prepared and fermented in 20 L new and reused Onggis, stainless and plastic containers. Quality attributes of the Gochujang were analyzed during the fermentation at room temperature. The microporous Onggicontainers, were found to promote the fermentative microbial growth, helping to create the desirable condition for good quality Gochujang. Reused Onggi resulted in Gochujang with higher content of amino nitrogen and free amino acids, and lower reducing sugar than new Onggi, which provided good sensory qualities in odor, taste and overall acceptability.

• Archives of design research
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• v.17 no.1
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• pp.127-134
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• 2004

The purpose of this study was to compare data input interfaces used in e-business applications on the web and find optimal input design characteristics. Basic data entry tools such as a pull down menu, list, text input box, and radio button were examined by inputting data into a simulated hotel room reservation web site. Experimental results indicated that the text input box was most efficient for experts or experienced operators when there are more than four menu-items and pull down menu was considered most satisfactory, simplest, and easier to use for novices or unexperienced users. A simple list was determined to be the best for the input of binary data considering user's satisfaction, simplicity, and flexibility but radio button was evaluated best for the ease to use. Design guide lines of this study can be applied to build a usable interactive web sites and increase economic efficiency.

• Journal of Distribution Science
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• v.14 no.2
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• pp.73-82
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• 2016

Purpose - Counterproductive work behavior(CWB) was typically categorized according to the behavior whether it targets other people(i.e., interpersonal CWB: I-CWB). Employing organizations(i.e., organizational CWB: O-CWB) has emerged as major concerns among researchers, managers, and the general public. An abundance of researches has informed us about the understanding for the antecedents of CWB, whereas little is known about the antecedents of CWB directed distribution service in employee's emotional labor. Therefore, the purpose of this research is to propose a research model in which surface acting enhances emotional exhaustion as an emotional labor strategy, which eventually increases counterproductive work behavior(including I-CWM and O-CWB). Research design, data, and methodology - This empirical research data were gathered from the samples of full time frontline hotel employees(including front office, call center, food/beverage, concierge, and room service) in South Korea. Six hotels were selected ranged from four to five stars, including privately owned and joint-venture properties. A convenience sampling method was used to select hotels. Full time frontline hotel employees from the six hotels were surveyed using a self-administered instrument for data collection. With the strong support of hotel managers, a total of 300 questionnaires were distributed, and 252 responses were collected indicating a response rate of 84.0%. In the process of working with the 252 samples, structural equation modeling is employed to test research hypotheses(H1: The relationship between surface acting and Interpersonal counterproductive work behavior(I-CWB) is mediated by emotional exhaustion, H2: The relationship between surface acting and organizational counterproductive work behavior(O-CWB) is mediated by emotional exhaustion). SPSS 18.0 and M-Plus 7.31 software were used for the data analysis. Descriptive statistics were used to assess the distribution of the employee profiles and correlations between factors. M-Plus 7.31 software was used to test the model fit, validity, and reliability of the factors, significance of the relationship between factors, and the effects of factors in the model. Results - To test our mediation hypotheses, we used an analytical strategy suggested by Preacher & Hayes (2008) and Shrout & Bolger (2002). This mediation approach directly tests the indirect effect between the predictor and the criterion variables through the mediator via a bootstrapping procedure. Thus, it addresses some weaknesses associated with the Sobel test. We found that surface acting was positively related to emotional exhaustion. Furthermore, emotional exhaustion was a significant predictor from the two kinds of counterproductive work behavior. In addition, surface acting was not significantly associated with the two kinds of counterproductive work behavior. These results indicated that the surface acting by frontline hotel employees was associated with higher emotional exhaustion, which is related with higher interpersonal counterproductive work behavior(I-CWB) and organizational counterproductive work behavior(O-CWB). In sum, we confirmed that the positive relationship between surface acting and the two kinds of counterproductive work behavior was fully mediated by emotional exhaustion. Conclusions - The current research broadens the conceptual work and empirical studies in counterproductive work behavior literature by representing a fundamental mechanism that how surface acting affects counterproductive work behavior.

• Culinary science and hospitality research
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• v.17 no.2
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• pp.140-152
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• 2011

The purposes of this study are to analyze the gap between foodservice personnel and customers, to urge foodservice providers to reconsider by identifying the problems in service delivery for customer satisfaction, and to deduce the recognition for foodservice quality improvement. The results of this study can be summarized as follows: the average perception score of personnel(3.78 out of 5) was higher than that of customers(3.79). In particular, the customers' perception of 16 attributes, which included 'overall lighting in the restaurant', 'creativity of the food', 'freshness of the ingredients' and so on, was significantly lower than personnel's. Both service providers and customers perceived that 'meal quality' was the highest and 'table setting' was the lowest among the 4 factors, but there was significant difference on 'interior space(p<.001)', 'meal quality (p<.01)', 'convenience(p<.01)' between the two groups. As a results of the quadrant analysis, 'Q3. dishes and bowls', 'Q6. cleanliness of the tables', 'Q12. display of the food', 'Q17. comfort of the interior space', 'Q18, room temperature', 'Q23. overall lighting in the restaurant', 'Q30. arrangement of the furniture and accessaries' were categorized into Quadrant A, all of which showed dissatisfaction of the customers due to the personnel's lower perception. Therefore, service providers have to perceive the gap between the two viewpoints and grant priority to these attributes to improve foodservice quality.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.6
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• pp.732-741
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• 2009

This study was carried out to identify lactic acid bacteria isolated from commercial Kimchi. Twelve lactic acid bacteria strains were isolated from Chinese cabbage kimchi (Baechu kimchi) that was fermented for 4 days at room temperature after making kimchi, 6 strains from pickled ponytail radishes (Chongkak kimchi) that was fermented for 2 days, and 15 strains in radish cube kimchi (Kaktugi) that was fermented for 5 days, and 23 strains were isolated in pickled Wakegi (Pa kimchi) that was fermented for 4 days. Eight strains among the lactic acid bacteria of 12 strains isolated from Baechu kimchi (pH 4.0) were identified as Lactobacillus plantarum, 1 strain as Leuconostoc lactis, 2 strains as Lactobacillus casei subsp. pseudoplantarum, and 1 strain as Lactobacillus sake. Three strains among the lactic acid bacteria of 6 strains isolated from Chongkak kimchi (pH 4.5) were identified as Leuconostoc paramesenteroides, 2 strains as Leuconostoc mesenteroides subsp. mesenteroides, and 1 strain as Lactobacillus plantarum. Two strains among the 15 strains isolated in Kaktugi (pH 4.0) were identified as Leuconostoc lactis, 3 strains as Leuconostoc mesenteroides subsp dextranicum, 4 strains as Lactobacillus casei subsp. pseudoplantarum, and 4 strains as Lactobacillus coryniformis subsp. torquens. Twenty-two strains among the 23 strains isolated from Pa kimchi (pH 4.1) identified as L. plantarum and 1 strain was as Lactobacillus sake. From the results above, the dominant species of Baechu kimchi was confirmed as L. plantarum, Chongkak kimchi as L. paramesenteroides, Kaktugi as L. casei subsp. pseudoplantarum and L. coryniformis subsp. torquens, and Pa kimchi as L. plantarum.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.161-173
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• 2020

In-depth interview in the field of hospitality industry services was conducted in COVID- 19. Introduction of kiosks for non-face-to-face services using untact technology, reservation, pay systems, self-service, service improvement using room service should be carried out. It is also necessary to implement Instagram, Facebook, YouTube, P-blogs, online broadcasting and live commerce through the establishment of m-channel system through untact marketing sales channels in the hospitality industry now that the product composition to solve the pro -blem of untact marketing is drawing attention due to diversification of online sales channe -ls. Now, the recognition of important elements of service education and a establishment of differentiated system of untact marketing, expansion of untact sale channel, implementation of non-face-to-face counseling service and introduction of pre-booking, telecommuting were recognized as urgent parts. In particular, a service differentiation and importance of human services, which were recognized free of charge, have re-recognized as premium, and quality service aspect of the hospitality industry in untact and the direction to diversify marketing channels are presented.