• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.3
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• pp.141-151
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• 2024

The purpose of this study is to analyze the characteristic of quality attributes of smart hotels by using a SERVQUAL-IPA model, focusing on Chinese, which has the most proactive approach for the adoption of smart hotel system. Toward this goal, six quality factors-tangibles, reliability, assurance, responsiveness, empathy, and playfulness-were extracted through factor analysis, and IPA was used to appraise the degree of importance and satisfaction for each quality attribute. As a result of the SERVQUAL-IPA model, quality attributes were categorized into four groups of 'keep up the good work,' 'possible overkill,' 'low priority,' and 'concentrate here.'. Furthermore, it was concluded that there is a need to focus on the following elements: 'smart devices can assist customers in emergency situations', 'when the room control system identifies customer needs, the staff can provide prompt service', 'development and improvement of mobile applications that enable customers to control room amenities', 'regular maintenance for smart devices', and 'providing data-driven personalized recommendations through customer activity data analysis'.

• Culinary science and hospitality research
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• v.22 no.6
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• pp.145-150
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• 2016

The Malaysian hotel industry is experiencing growth due to the increase of new hotels and hospitality-related service through inbound of business travelers and tourists to Malaysia. The influx of tourist is expected to increase and luxury hotels are beginning to be more popular. The interest of studying customer perception toward tourism facilities, especially in luxury hotels has also witnessed an increase. In this study, a qualitative approach on how customers perceive luxury hotels was conducted. This study covered customer satisfaction and service quality perceived by customers toward Sunway Resort Hotel and Spa. Ten individuals were involved in data collection, and data were analyzed thematically. Findings were themed based on positive and negative responses provided by both international and local customers.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.111-123
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• 2020

This paper aims to highlight the importance of employee participation in green management in hotel firms. In particular, the study examined the role of employee participation in green management on cost saving as a hotel's performance indicator. We collected data from senior and general managers in Korean and US hotels. The results of the study supported our hypotheses, showing that the employee participation had a significantly positive relationship with cost savings in hotels. The results of the study also supported other hypotheses, showing that resource conservation and green building management had positive relationships with cost savings in hotels. Therefore, it can be predicted that green management can save cost in hotel firms. Such managerial implications are discussed.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.6
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• pp.963-971
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• 2007

This research aimed to determine the relationship between hotel restaurants' SCM activities and their results. The samples are included exclusive high-end hotels located in the seoul area. To analyze the data, frequency analysis, reliability analysis, factor analysis, and regression analysis were applied. Multiple regression analysis showed that SCM activities (${\beta}$=.342, p<.000), information sharing (${\beta}$=.136, p<.006), and cooperative activities (${\beta}$=.120, p<.015) had a significant impact on financial performance. The explanatory power of this model was 14%, and there was statistical significance in the regression model. SCM activities(${\beta}$=.221, p<.000), information sharing (${\beta}$=.475, p<.000), and cooperative activities (${\beta}$=.172, p<.000) also had a significant impact on non-financial performance, and the explanatory power of this model was 29%, with statistical significance in the regression model.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.17 no.2
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• pp.61-94
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• 2006

This study analyzes the integrated system of the hotel employment management and the differences between the persons of employment concerning and the applicants about the importance of the determinants of the employment around the five-star hotels in Seoul. Firstly, the integrated strategies are presented by 3 stages such as recruiting, selection and placement. And then the 15 determinants of the employment are derived to analyze the perceptional differences between the persons of employment concerning and the applicants about the important determinants and to present the reasons and strategical implications. The results of this study indicates that the strategy to make him/her aware of sufficient information about the hotel and job through the proper balancing demand and supply and the industry-university cooperation program order to maintain and utilize the human resource to be aligned with the business performance of the hotel.

• Korean Business Review
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• v.4
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• pp.281-295
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• 1991

Nothing is more incorrect than forecasting. Nevertheless, forecasting is one of the most important business activities for the effective management. There has been rapid changes of the growth rate in every respect of the Korean hospitaity industry, especially the hotel industry, before and after the 88 Olympic Games. Therefore, the hoteliers shall be in need of more-than-ever accourate demand forecasting for the more systematic management and control. Under the above circumstances, this study suggested the best forecasting technique and method for the better sales and operations of the hotel rooms. The number of rooms sold is selected as a dependent variable of this study which is regarded as the best representative factor of measuring the growth rate of the rooms division performance of the hotels. The first step was to select the most verifiable independent variable diferently from the other countries or other areas of Korea. As a result, the number of foreign visitors was chosen. Empirical research, i.e. correlation and multiple regression analysis, shows that this independent variable has a strong relationship with the dependent variable told above. The second procedure was to estimate the number of rooms will be sold in 1991 on the basis of the formula calculated through the multiple regression analysis. Time series technique was conducted using the data of the number of foreign visitors by purpose of travel from 1987 to 1990. For the more correct forecasting, however, it would be desirable to adopt the data from 1989 considering the product or the industry life cycle. In addition, deeper analysis for the monthly or seasonal forecasting method is needed as a future research.

• Journal of Distribution Science
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• v.19 no.7
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• pp.113-121
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• 2021

Purpose: Technology induces the virtual distribution channel to exist, especially for booking a room online. This situation, indeed, provides an alternative for the customers to book based on their budget through digital platforms. One platform offering competitive prices is virtual hotel operators, such as Airbnb, OYO, RedDoorz, and Airy Rooms. Preferably, after using their platform, the user should be satisfied and loyal. Hence, this investigation aims to prove some associations. The first is between e-satisfaction and e-loyalty. The second is between website quality and e-satisfaction. The final is between website quality and e-loyalty. Research design, data, and methodology: This study is quantitatively designed with the sample of 350 users of the virtual hotel operator applications in Bandar Lampung: Airbnb, OYO, RedDoorz, and Airy, as the samples. Therefore, by denoting this sample size, the structural equation model based on covariance is utilized to examine the three hypotheses proposed. Also, to get the responses, this study uses a survey through a questionnaire. Result: This investigation demonstrates the positive relationship between e-satisfaction and e-loyalty. Additionally, website quality positively associates with e-satisfaction and e-loyalty. Conclusion: The virtual hotel operators must have the superiority on their website-based application to update the information based on the room availability and price, ensure online transaction safety, and facilitate its utilization to maintain long-term satisfaction and loyalty virtually.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.109-121
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• 2023

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.125-133
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• 2014

This paper develops a bankruptcy prediction model on an Artificial Neural Network for hotel management. A bankruptcy prediction model has a specific feature to predict a bankruptcy of the whole hotel business after evaluate bankruptcy possibility on the basis of business performance data of each branch. here are many traditional statistical models for bankruptcy prediction such as Multivariate Discriminant Analysis or Logit Analysis. However, we chose Artificial Neural Network because the method has accuracy rates of prediction better than those of other methods. We first selected 100 good enterprises and 100 bankrupt enterprises as experimental data and set up a bankruptcy prediction model by use of a tool for Artificial Neural Network, NeuroShell. The model and its experiments, which demonstrated high efficiency, can certainly provide great help in decision making in the field of hotel management and in deciding on the bankruptcy or financial solidity of each branch of serviced residence hotel.

• Culinary science and hospitality research
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• v.23 no.4
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• pp.216-224
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• 2017

The purpose of this study was to analyze the job satisfaction, turnover intention and organization commitment level of hotel employees using Herzberg's motivation hygiene theory. This study used SPSS 20.0 and AMOS 20.0 to conduct frequency analysis, reliability analysis, confirmatory factor analysis, path analysis and chi-square difference test. The results of study, first of all, Herzberg's, theory of hygiene are influenced by satisfaction of employees, organization commitment and turnover intention. It will be strongly needed to management of compensation, well-organized policy of human resources system. Lastly, in Hotel business, It showed differences having a strong influence on local employee and chain hotel employee according to method of Hotel management. In conclusion, in the hospitality industry, it is desirable to carry out on their own ways of vision and purpose each corporations rather than following regimental rules.