• Title/Summary/Keyword: 정보처리모형

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The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

An Analytical Approach Using Topic Mining for Improving the Service Quality of Hotels (호텔 산업의 서비스 품질 향상을 위한 토픽 마이닝 기반 분석 방법)

  • Moon, Hyun Sil;Sung, David;Kim, Jae Kyeong
    • 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.

CAUSATIVE FACTORS AND PREDICTABILITY OF ARCH LENGTH DISCREPANCY (치열궁 길이 부조화의 기여요인과 예측도에 관한 연구)

  • Jung, Min-Ho;Yang, Won-Sik
    • The korean journal of orthodontics
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    • v.27 no.3 s.62
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    • pp.457-471
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    • 1997
  • The Purpose of this study was to estimate relative importance among the causative factors o( arch length discrepancy(ALD) and Possibility of prediction of the ALD in the mixed dentition. The sample consisted of the casts of the 142 young adults who had no abnormal muscle function, no skeletal abnormalities and Class I molar relationship. We classified the sample by gender and the extent of ALD, and measured mesiodistal diameters of each tooth and the dimensions of the dental arch. The computerized statistical analyses was carried out with SPSS win program. The results were as follows ; 1. Most of the variables of spacing group and some variables of dental arch dimension of crowding group were significantly different between genders. But in normal group, there were few differences. 2. In male crowding and female spacing group, mainly measurements of tooth dimension were significantly different from those of normal group. 3. In male spacing and female crowding group, measurements of dental arch dimension were significantly different from those of normal group. 4. The measurements of dimension of dental arch were highly correlated with ALD in correlation analysis and factor analysis. 5. Prediction equations for adult's ALDs by means of what can be measured in the mixed dentition(mesiodistal dimensions of incisors and first molar, intermolar width and arch length) showed R square from $63\%$ to $80\%$.

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Water Quality Management by Reservoir Discharge Control through Selective Withdrawal (선택취수를 이용한 댐하류 하천의 수질관리)

  • Kim Young Do;Yi Yong-Kon;Ko Ick Hwan;Kim Woo Gu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.454-458
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    • 2005
  • 여름철 집중강우시 유입되는 고탁수층은 저수지의 밀도성층으로 인하여 표수층 하부에 위치하며, 이를 적기에 배제하지 않을 경우에는 수평방향의 확산현상과 연직방향의 전도현상으로 인해 저수지 전역에 분포하게 되어, 탁수현상의 장기화를 유발한다. 일본 사메우라댐의 경우에는 1977년 9월 태풍 17호에 의한 집중호우로 대량의 고탁수가 유입되어 하류하천으로의 댐 방류수의 고탁도현상이 장기간 지속된 바 있다. 이와 같은 탁수장기화에 대한 저수지내 대책의 하나로서 홍수유입후 탁도가 높은 물을 단기간동안 방류하고, 갈수기에는 탁도가 낮은 물을 방류하는 선택취수 개념이 제안된 바 있다. 국내의 임하댐의 경우에도 2002년 태풍 '루사'와 2003년 태풍 '매미'로 인해 발생한 탁수가 전도현상을 거치며 저수지내 전수층에 확산됨으로써 댐방류수의 고탁도현상이 장기화된바 있다. 이로 인하여 댐하류에 위치한 안동시 용상정수장의 동절기 정수처리 장애로 2003년 11월이후 약 160여일동안 댐방류가 중단된 바 있다. 임하댐의 경우에도 탁수장기화에 대한 대책으로서 홍수기 고탁수층을 우선배제한 후, 저수지내에 유입되는 청수을 담수함으로써 이를 방지할 수 있다. 이러한 선택취수 기법은 동일한 수리동역학적 개념을 적용하여 하류하천의 냉해문제를 대비하기 위한 방법으로 표층의 온수를 선택방류하는 데에도 이용될 수 있다. 이와 같은 선택취수를 효율적으로 수행하기 위해서는 취수시설에 접근하는 밀도흐름을 정확하게 이해하고 있어야 한다. 또한 취수탑 인근에서의 온도 및 탁도 등의 연직분포를 실시간으로 파악할 수 있는 자동수질측정시스템이 구축되어 있어야 한다. 현재 임하댐의 경우, 하류하천의 수질을 고려한 효율적인 탁수배제를 위하여 상류 유입부 2개소, 발전취수탑 전면 1개소, 조정지댐 1개소 등 총 4개의 자동수질측정시스템이 설치되어 탁도와 온도가 실시간으로 모니터링되고 있으며, 향후 강우시 저수지에서의 밀도흐름을 보다 정밀하게 모니터링하기 위하여 저수지내 4개의 주요지점에 추가적으로 설치될 예정이다. 이와 같은 자동측정시스템과 더불어 주기적인 세부 수질조사를 실시하면 저수지내의 온도성층 변화와 탁수층 분포를 매우 정확하게 파악할 수 있으며, 호소의 수질모형과 연계하여 강우시 탁수 도달시간과 탁수량을 사전에 예측할 수도 있다. 또한 이와 같은 기초적인 정보를 바탕으로 하류하천의 탁수 피해를 최소화할 수 있는 선택취수탑의 운영방안을 수립할 수 있다 본 연구에서는 이를 위해 선택취수탑 주위의 성층흐름을 기존의 실험자료와 수치해석을 통하여 분석하였고, 온도성층구조나 취수구의 위치변화에 따른 방류수 수질특성을 조사하였다.

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Influencing Factors on Knowledge Adoption of Administrator in an Online Idea Proposal Community: Focusing on the Tourism Idea Bank of Korea Tourism Organization (온라인 아이디어 제안 커뮤니티에서 담당자 지식수용에 영향을 미치는 요인: 한국관광공사 관광아이디어뱅크 게시판을 중심으로)

  • Park, Jong-Won;Koo, Chulmo;Yang, Sung-Byung
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.1-17
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    • 2016
  • Recently, although many government agencies, including the Korea Tourism Organization, have been operating two-way interactive online idea proposal communities in order to reflect the various ideas of citizens in business, the utilization rate is still extremely low due to the lack of public's understandings and management's commitments. Therefore, based on previous studies on the characteristics of information quality, this research (1) derives key factors constituting idea quality in the context of online idea proposal communities, (2) classifies them into the content cues (value-added, relevancy, originality, and completeness) and the non-content cue (amount of writing) according to the heuristic-systematic model, and (3) finally validates how these content/non-content cues influence the knowledge adoption of administrators in an online idea proposal community. The findings of the structural equation modeling analysis with all of the 240 completed idea proposals in the 'Tourism Idea Bank' of Korea Tourism Organization reveal that, among content cues, value-added, relevancy, and originality have a significant effect on knowledge adoption. Moreover, it is also found that amount of writing as a non-content cue has a positive moderation effect on the relationships between originality and knowledge adoption.

The Effect of the Supervisor's Transformational Leadership on Employees' Work Engagement : Focusing on the Mediating Effects of Psychological Contract Breach and Organizational Anomie (변혁적 리더십이 직무열의에 미치는 영향: 심리적 계약 위반과 조직아노미의 매개효과를 중심으로)

  • Bae, Chae-Yoon;Shin, Je-Goo
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.281-307
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    • 2016
  • The goal of this study was to verify that effectiveness of transformational leadership in impacting work engagement with the psychological contract breach among members of the organization and organizational anomie as mediating factors. The mediating effect of psychological contract breach and organizational anomie on the relationship between transformational leadership and work engagement was explored using a theoretical approach based on Social Exchange Theory, Social Information Processing Model and Job Demands- Resources Model. To avoid common method bias, the dependent variable was surveyed using employee peer review. 277 surveys were collected from 18 companies in diverse industries including manufacturing, distribution, and finance. The results of the analysis showed that transformational leadership has a significant positive effect on employees' work engagement, while having a significant negative effect on psychological contract breach and organizational anomie. In addition, psychological contract breach and organizational anomie were found to act as partial mediators in the relationship between transformational leadership and employees' work engagement. Overall, this study showed that if leaders at organizations can assist employees to overcome negative factors such as psychological contract breach and organizational anomie through transformational leadership, it is possible to improve employees' work engagement.

Study on Enhancement of TRANSGUIDE Outlier Filter Method under Unstable Traffic Flow for Reliable Travel Time Estimation -Focus on Dedicated Short Range Communications Probes- (불안정한 교통류상태에서 TRANSGUIDE 이상치 제거 기법 개선을 통한 교통 통행시간 예측 향상 연구 -DSRC 수집정보를 중심으로-)

  • Khedher, Moataz Bellah Ben;Yun, Duk Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.3
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    • pp.249-257
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    • 2017
  • Filtering the data for travel time records obtained from DSRC probes is essential for a better estimation of the link travel time. This study addresses the major deficiency in the performance of TRANSGUIDE in removing anomalous data. This algorithm is unable to handle unstable traffic flow conditions for certain time intervals, where fluctuations are observed. In this regard, this study proposes an algorithm that is capable of overcoming the weaknesses of TRANSGUIDE. If TRANSGUIDE fails to validate sufficient number of observations inside one time interval, another process specifies a new validity range based on the median absolute deviation (MAD), a common statistical approach. The proposed algorithm suggests the parameters, ${\alpha}$ and ${\beta}$, to consider the maximum allowed outlier within a one-time interval to respond to certain traffic flow conditions. The parameter estimation relies on historical data because it needs to be updated frequently. To test the proposed algorithm, the DSRC probe travel time data were collected from a multilane highway road section. Calibration of the model was performed by statistical data analysis through using cumulative relative frequency. The qualitative evaluation shows satisfactory performance. The proposed model overcomes the deficiency associated with the rapid change in travel time.

An exploration of tour skill factors influential to game results of LPGA players (LPGA 선수들의 시즌성적에 영향을 미치는 경기 기술요인 탐색)

  • Son, Seung Bum;Lee, Chang Jin
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.2
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    • pp.369-377
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    • 2013
  • The purpose of this study was to explore which factors mostly influenced players' tour results employing tour skill factors provided by LPGA. For this study, Top 10 LPGA players' stats during 9 years (2004 2012) were used. As matter of fact, 10 variables were used like average score, top 10 finish, average putt, average birdies, average eagles, driving distance, driving accuracy, greens in regulation, sand saves, putts per GIR. and prize money earning. Stepwise multiple regression was conducted using SPSS win 20.0. Results indicated that the most influential tour skill factor to 9 seasons' results was average score, second influential factor was average putt, and the third factor was driving distance, and then top 10 finish was the fourth. Also on a year on year basis, 2004 was average score, 2005 was GIR., 2006 was average eagles, 2007 was top 10 finish, 2008 was average score, 2009 was average putt, 2010 were average score, GIR. and putt per GIR, 2011 was average birdies and 2012 was putt per GIR.

Functions and Roles of Digital Landscape Architectural Drawing (조경 설계에서 디지털 드로잉의 기능과 역할)

  • Lee, Myeong-Jun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.2
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    • pp.1-13
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    • 2018
  • This work discusses the major roles of digital technologies in the history of landscape architectural drawing, and offers a critique of the dominant trend towards realism in recent digital landscape representations. During the period of transition from conventional drawing tools, computer technologies generally functioned as mechanical tools to imitate prior manual techniques. Specifically, the GIS was served as a mechanical tool to efficiently process the manual layer cake; CAD software generally functioned to translate physical models to two-dimensional construction documents while graphic software generally functioned as a tool to perform processes similar to those of manual collage and montage techniques. Recent digital landscape drawings tend to adopt a realistic depiction like the painting of landscape appearance. In the representations, discernible traces of cutting and assembling are removed via graphic software; thus, the complete representations are perceived as if they were a copy of an actual landscape. The realistic images are an easy way to communicate with the public. However, it is difficult to achieve a full embodiment of all of the multisensory characteristics of a landscape through these visuals. They often deceive viewers by visualizing idealized conditions of not-yet-actualized landscapes and production of the final images takes up a large portion of the overall design process. Alternatively, 3D digital modeling of landscape performance and creative uses of digital technologies during the overall design process, as well as hybridized techniques with different drawing techniques and technologies, provide the opportunity to explore various aspects of a landscape.

Q-factor Estimation of Seismic Trace Including Random Noise using Peak Frequency-Shift Method (무작위 잡음이 포함된 탄성파 트레이스로부터 Peak Frequency-Shift 방법을 이용한 Q-factor 추정)

  • Kwon, Junseok;Chung, Wookeen;Ha, Jiho;Shin, Sungryul
    • Geophysics and Geophysical Exploration
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    • v.21 no.1
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    • pp.54-60
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    • 2018
  • The data acquired from seismic exploration can be used to detect the existence of oil and gas resources through appropriate processing and interpretation. The seismic attributes indicating the existence of resources are extracted from amplitude information, where the Q-factor representing intrinsic attenuation plays an useful role of hydrocarbon indicator. So, the accuracy of Q-factor estimation is very important to investigate the existence of resources. In this study, we calculated the Q-factor and analyzed the error rate through a numerical example. To mimic real data, random noise was added to the synthetic data. With the noise-added data, the Q-factor was estimated and the error rate was analyzed by using the spectral ratio method (SRM) and peak frequency shift method (PFSM). Both methods provided a relatively accurate Q-factor when the signal-to-noise ratio was 90 dB. However, the peak frequency shift method (PFSM) produced better results than the spectral ratio method (SRM) as the level of random noise increased.