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텍스트 마이닝을 이용한 온라인 리뷰 데이터의 레스토랑 선택속성과 선호도에 관한 연구
박나희 관광경영학회 2021 관광경영연구 Vol.104 No.-
The purpose of this study was to extract and analyze the extensive review data of tourists accumulated on the Tripadvisor travel community website to identify the restaurant selection attributes and preference factors of foreign tourists, and to derive meaningful results. In order to identify restaurant selection attributes and important preference factors in online reviews generated by restaurant customers, data was refined through text mining techniques and text network analysis was performed to reveal the structural with restaurant selection attributes. For the texts extracted by crawling, a frequency matrix was created by the word frequency list and key words using the TEXTOM program. Also, using Netdraw programs, visualized the results of the sementic network analysis and centreality of the extracted words and the structural equivalence of the words. As a result of the analysis, food, restaurant, good, place, korean, seoul, try, service and great words were found to be the main attributes in frequency and centrality. Additionally the attributes were categorized atmosphere, value, purpose and food by CONCOR analysis. Based on these findings, I would like to present theoretical and practical implications for market segmentation and marketing strategies to the restaurant industry.
헤도닉가격모형을 이용한 에어비엔비 숙박가격 결정요인 분석
박나희,유윤희 관광경영학회 2018 관광경영연구 Vol.85 No.-
The purpose of this study was to evaluate how employees perceived human resource management practices which are associated with quality enhancement business strategy and organisational effectiveness regarding the concept of procedure justice in the Korean hotel companies by types of ownership. Also this study used a structural equation modelling approach to understand the employees' feeling about their organisation between international chain hotels and Korean owned hotels. The results of this study proved that the factor of 'training and development', 'service quality', 'consultation' had a positive influence on procedure justice in international chain hotels otherwise 'training and development', 'recruitment', 'consultation' had a positive influence on procedure justice in Korean owned hotels. Also 'procedure justice' significantly influenced 'job satisfaction' and 'turnover intentions' in both hotels. This study found that deluxe hotels adopt a quality enhancement business strategy which is tailored HRM practices such as hiring excellent employees, providing good services, offering training opportunities more to meet various customers' needs. Moreover the results of this study will help managers to provide a better understanding of the concept of business strategy which enacts in hotel companies and management can apply those HRM practices into their similar service organisations.
예산제약을 고려한 다기간 Newsvendor 문제에서의 Q-learning 기법 적용
박나희,Xia Jiun Lau,민대기 한국경영과학회 2022 韓國經營科學會誌 Vol.47 No.1
This paper considers a multi-period, multi-item Newsvendor problem under budget constraints in which a decision-maker orders items with aims to minimize the total inventory cost including inventory holding cost and backlog cost. In this decision process, the order quantities are constrained by two types of budget constraint: periodic budget and flexible budget. The problem is formulated as an action-constrained Markov Decision Process (MDP). To overcome the dimensionality and ambiguity, we employed a Q-learning method for solving the MDP model. In particular, we modified the conventional Q-learning procedure to handle a constrained action space by imposing penalties for constraint violations or incentives for constraint satisfactions on Q-values. The penalties and incentives are obtained by solving a quadratic optimization problem included in the learning procedure. Numerical analysis compares the performance of the proposed Q-learning method with others such as EOQ (Economic Order Quantity), Q-learning without the budget constraint, and a heuristic method. The experimental results showed that the proposed Q-learning method lowers the total inventory cost while increasing the chance of satisfying the budget constraint.
인터넷 검색엔진을 활용한 키워드가 중국관광객 방한 수요에 미치는 영향 - 바이두 인덱스 자료를 적용 -
박나희,김홍범 한국관광학회 2016 관광학연구 Vol.40 No.3
The focus of this study is to verify the effect relationship of a web search engine’s query data with Chinese tourist’s demand and to examine the behavior of Chinese tourists who have recently been the most significant increasing group visiting South Korea. A Collection of search query data from the Baidu Index related ‘Korea’ and ‘Korean Tourism’ then took 7 key-words through the filtering process to establish an independent variable. The data was collected from the 1st of January, 2011 to 31st of December, 2014 bimonthly as Chinese tourist demand data for the dependent variable. We proposed a multiple linear regression model to verify the effect relationship with 7 key-words and Chinese tourist demand. With respect to long-term stability, the variables used the unit root test, correlation test and Granger causality test before regression analysis. The result showed that the key-words related to ‘Korea’ and ‘Korean Tourism’ have effected Chinese tourists’ demand. The results of the analysis proved an effect relationship between a web search engine’s query data and Chinese tourists’ demand. The implication of the study is that it is possible to use integrated analysis to predict tourist demand using quantitative data and real-time search engine data. 본 연구에서는 국내 방한하는 해외관광객 중 가장 크게 증가하고 있는 중국관광객의 관광행동을 살펴보고자 인터넷 검색엔진의 검색 키워드와 중국관광객수요의 영향관계를 초점으로 연구하였다. 중국 최대의 인터넷 검색 사이트인 바이두에서 제공하는 키워드 정보가 국내 중국관광객수요에 어떠한 영향을 미치는지를 분석하고자 하였다. 이를 위해 바이두 검색엔진의 바이두 인덱스를 통하여 한국 및 한국여행관련 키워드를 추출하고, 정제 과정을 거쳐 7개의 키워드를 설명변수로 선정하였다. 연구를 위한 설명변수는 2011년 1월 1일부터 2014년 12월 31일까지 사이의 월별 자료이며, 결과변수인 중국관광객수요 자료는 설명변수와 동일기간으로 한국관광공사의 외래 관광객실태조사 통계자료를 사용하였다. 선정된 7개의 검색 키워드와 중국관광객수요와의 관계를 다중회귀모형으로 가정하였으며. 회귀모형의 안정적 분석을 위하여 자료의 단위근 검정 및 설명변수와 종속변수 간의 상관관계 및 인과관계 검정을 시행하였다. 연구결과, 바이두 인덱스를 통한 한국과 한국여행 관련 키워드는 실제 국내에 방한하는 중국관광객수요와 영향관계가 존재함을 알 수 있었다. 이것은 실제 중국관광객수요와 같은 정형적인 수치 데이터와 새로운 방식의 2차 자료인 인터넷 검색 키워드 자료의 결합 분석연구가 가능하다는 것을 시사한다.
동특성 에너지 시뮬레이션을 이용한 3000㎡ 건물에서의 EHP와 GHP의 경제성 비교
박나희(Na-Hee Park),김영일(Young Il Kim),정광섭(Kwang-Seop Chung) 대한설비공학회 2011 대한설비공학회 학술발표대회논문집 Vol.2011 No.7
The objective of this study is to analyze building's load, system operating and energy by using TRNSYS 17 on the basis of office which is 3 stories building with 3,000㎡. EHP and GHP are selected for heating and cooling. The main focus of this study is to analyze the economic comparison between EHP and GHP. The economic analysis consists of initial costs and operating costs. The first costs is composed of equipment, construction, water supply system, support fund and a tax favor. The operating costs is composed of electric power, energy, rental, personnel, insurance and repairing expenses. The results of economic comparison, EHP initial costs is 40% lower and EHP operating costs is 38% lower than GHP system. And to conclude, the total costs of EHP system is 40% lower than GHP system.