• Journal of Korean Society for Quality Management
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• v.47 no.3
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• pp.583-595
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• 2019

Purpose: This study aimed to prove that the effect of waiting environment on perceived waiting time and service satisfaction of airline service and airport service procedure. Methods: Survey was conducted by questionnaires that were distributed to international airlines passengers. Survey data were collected 276 copies from 300 copies then analyzed using factor analysis and multi-regression analysis. The measurements of airline service procedure were divided by airlines service and airport service. Airline service segregated as before boarding and after boarding then airport service can be separated before boarding and after deplane by service procedure. Results: According to result, hypotheses were partially accepted. Human environment and Physical environment of airport service before boarding and after deplane were accepted. However perceived waiting time had effect on service satisfaction both airline and airport services. Thus some of variables are correlated among waiting environment. Acceptability as moderating variable has differences on high acceptable group and low acceptable group. Though waiting and delay were caused by controllable or uncontrollable reasons, there are certain negative feeling on waiting and delay on physical environment of airline service. Especially controllable delay and waiting are more negative than uncontrollable reasons. Conclusion: Some suggestions that given from researcher should be implemented to the airline industry to reduce perceived waiting time specially airport service procedure academically and practically.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.1-12
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• 2014

In recognition of the significance of waiting time in restaurant management, a quasi-experimental design was employed to measure the gap between actual and perceived waiting time in a real restaurant setting. In particular, this study focused on a comparison of Americans and Koreans to explore gender and culture differences in customer waiting behaviors. The results indicated that compared to American women, Korean women are more tolerant of waiting, and reported perceived waiting time as much longer than actual waiting time. However, there are no gender differences in both cultures. It is anticipated that managers will be able to adjust their operational strategies based on these results.

• Quality Improvement in Health Care
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• v.12 no.1
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• pp.6-16
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• 2006

Objectives : The purpose of this study was to identify the characteristics influencing consultation and waiting time in ambulatory patients. Methods : This study was conducted in a tertiary teaching hospital. Subjects were a total of 10,383 ambulatory patients. Consultation time was measured by time spent for meeting with his/her physician per patient. Waiting time was defined as the time difference between each patient's reserved time and time to meet with his/her physician for ambulatory care. Multiple regression analyses were performed to determine the factors influencing consultation and waiting time. Results : Consultation time was different according to patient' age, previous experience of clinic visit, recent admission history, medical department, specialist care, type of reservation, and day of the week. Significant factors influencing waiting time were patient' age, residential area, previous experience of clinic visit, recent admission history, medical department, specialist care, time spent after ambulatory care begins, and day of the week. Conclusions : The medical department was the strongest factor affecting both consultation time and waiting time. The ambulatory reservation management systems should take into account patient characteristics as well as care-related features.

• Asia Marketing Journal
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• v.12 no.1
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• pp.1-30
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• 2010

Customers often experience waiting for buying service. Managing customers' waiting time is important for service providers since customers who are dissatisfied with waiting, secede from a service place at last. Not a few studies have been done to solve waiting time problem and improve customers' waiting experience. Hui & Tse(1996) identify evaluation factors in customers' behavioral mechanism as customers wait. That is, customers experience perceived waiting time, waiting acceptability and emotional response to the wait when they wait. Since customers evaluate the wait using these factors, service provider should manage these factors in order to minimize customers' dissatisfaction. Therefore, this study explores that evaluation factors of waiting are influenced by customers' situational and experiential characteristics, which include customer loyalty, transaction importance for customer and waiting expectation level. Those situational and experiential characteristics are usually given to service providers so they can't control these at waiting point. The major findings derived from two exploratory studies can be summarized as follows. First, according to the result from the study 1 (restaurant setting), customers' transaction importance has the greatest positive influence on waiting experience. The results show restaurant service provider could prevent customers' separation effectively through strategies which raise customers' transaction importance, like giving special coupons for important events. Second, in study 2 (amusement part setting) customer loyalty has large positive impact on waiting experience as well as transaction importance. This results show that service provider could minimize customers' dissatisfaction using strategies which raise customer loyalty continuously. This results show customer perceives waiting experience differently according to characteristics of service place and service itself. Therefore, service provider should grasp the unique customers' situational and experiential characters for each service and service place. It could provide an effective strategy for waiting time management. Third, the study finds transaction importance and waiting expectation level have direct influence customers' waiting experience as independent variables, while existing studies treated them as moderators. Customer loyalty which has not been incorporated in previous waiting time research is known to affect waiting experience. It suggests that marketing strategy which builds up customer loyalty for long period of time is also quite effective, compared to short term tactics to help customers endure waiting time. Fourth, this study reveals the importance of actual waiting time along with perceived waiting time. So far most studies only focus on customers' perceived waiting time. Especially, this study incorporates the concept of patient limit on waiting time to investigate effect of actual waiting time. The results show that there were various responses to the wait depending on how actual waiting time exceeds individual's patent limit on waiting time or not, even though customers wait about the same period of time. Finally, using structural equation model, conceptual path between behavioral responses is verified. As customer perceives waiting time, then she decides whether she can endure it or not, and then her emotional response occurs. This result are somewhat different from Hui & Tse(1996)'s study. The study also includes theoretical contributions as well as practical implications.

• Quality Improvement in Health Care
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• v.2 no.2
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• pp.20-30
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• 1996

Background : Theoretically as the waiting-time of patient is estimated in queueing, many men and much money are needed. But being the estimation of patient s waiting-time very important in hospital service, so the continuous monitoring of waiting-time is inevitable. To verify that the estimation of waiting-time using parking time is economical, effective and continuous monitoring method and to develop utilizing the method, this study was done. Method : In parking confirmation office, the personnel of parking office wrote parking confirm time, chart number and whether medical examination and treatment finish or not in parking ticket. The next day the parking tickets were gathered and the above data were input. The input parking data were connected with the hospital outpatient file indexing chart number. Then the patient' s data for department, new patient or not, reservation or not, receipt time and payment time were retrieved. The group for finishing medical treatment were compared with that for not finishing in average time lag between confirmation and out-time for hospital. And In-time for hospital, receipt time, payment and out-time for hospital were also analyzed. Result : Confirming parking ticket, the group for finished medical treatment left hospital after 7 minutes. This result showed that the patient for finished medical treatment left hospital immediately. So parking time was reasonable to estimation of hospital-time was concluded. The time for medical treatment, diagnosis and test was constant for all patients and short for waiting time, Then I concluded that the parking time was reasonable for estimation patient's waiting time. Overall patient's waiting time was 113 minutes and new patient's time was 149 minutes, old patient's times was 109 minutes. Waiting time for reservation patient was 98 minutes and for non reservation patient was 122 minutes. The time from hospital arrival to payment was 50 minutes for the group of reservation patient and 69 minutes for non-reservation group. The time from payment to hospital leaving was 51 minutes and 56 minutes for non reservation group. The short time difference between reserved group and not reserved group from payment to hospital leaving time was due to bottle neck effect. Conclusion : The estimation of patient's waiting time using parking time was reasonable because the possession of car was common and the time for medical treatment was equal and the patient after treatment left hospital immediately. Using this method, timely, fast evaluation and continuous monitoring of the intervention effect were possible.

• International Area Studies Review
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• v.13 no.1
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• pp.491-512
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• 2009

The study on waiting time has been conducted from the psychological perspective since Maister (1985). In using medical institutions, especially general hospitals, it is not avoidable to wait for a long time. As a result, the waiting time gives clients psychological stress, which causes medical consumers to be more dissatisfied and decreases their rate of revisit. Accordingly, it is very urgent to study on the waiting time for hospitals' marketing and better image-making. This study is intended to find out how hospitals image and clients revisit is influenced by waiting environment and consumers' attitude, variables of waiting time perceived in medical services. Based on this study, those medical institutions are required to improve their medical service and waiting environment. Accordingly, they should convert waiting time into more efficient and comfortable recess and provide better environment for physical service and effective human services. As those medical institutions have relatively worse image than other businesses, they should actively study on ways of better image-making in the future.

• Journal of the Korean Society of Food Culture
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• v.34 no.4
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• pp.432-439
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• 2019

The purpose of this study is to measure the effect of customers' waiting time on their revisit intention through their emotion. Also this study assessed the effect of restaurant selection attributes on consumers' revisit intention in Korea. This study used experimental scenario questionnaires for collecting data. Frequency analysis, Cronbach's alpha, correlation, t-tests and multiple regression analysis were assessed using SPSS. Customers preferred taste, sanitation and service when selecting a restaurant to dine out. The results of this study found that there were no significant differences between positive and negative emotions due to waiting time. Findings of this study suggested that waiting time, convenience, nutritional value, and emotion influenced consumers' revisit intention. Therefore, reducing waiting time and providing proper service will help consumers have positive emotions to return to dine at a restaurant.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.3 s.110
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• pp.56-64
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• 2005

Despite there have been m?my studies about the relationships between congestions and satisfaction in outdoor recreation field, the results indicated only weak impacts of congestions on the satisfaction. This study thus aims to investigate the influence of waiting situation on the whole valuation and satisfaction of guests at theme parks using new variables such as 'goal attainment' and then to suggest implications for waiting management. This study shows meaningful theoretical implications. First, congestion influences the satisfaction more strongly when it prevents guests from achieving their plan. Second, management of waiting time is important and the can be controlled well. When guests have something interested during the waiting time, they were satisfied with the quality of waiting time and overall experience in the theme park.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.421-430
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• 2016

In this study, a gate simulation model was developed to reduce the truck waiting time for trucking companies servicing container terminals. To verify the developed model, 4 weeks of truck gate-in/gate-out data was collected in December 2014 at the Port of Busan New Port. Also, the existing gate system was compared to the proposed gate system using the developed simulation model. The result showed that based on East gate-in, a maximum number of 50 waiting trucks with a maximum waiting time of 120 minutes. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-in, the maximum number of waiting trucks was 17 and the maximum waiting time was 34 minutes in the existing gate system. With the proposed system the maximum number of waiting trucks was 10 with a maximum waiting time of 5.3 minutes. Based on West gate-out, the maximum number of waiting trucks was 11 with a maximum waiting time of 5.5 minutes. With the proposed system the maximum number of waiting trucks was 9 with a maximum waiting time of 4.4 minutes. This developed model shows how many waiting trucks there are, depending on the gate-in/gate-out time of each truck. This system can be used to find optimal gate system operating standards by assuming and adjusting the gate-in/gate-out time of each truck in different situations.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.225-230
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• 2010

The purpose of the study was to apply and to expand the six sigma to reduce waiting times for computed tomography (CT) examination which manipulated by the department of radiology. It was preceded by DMAIC (Define, Measure, Analyze, Improve, and Control). In the stage of definition, it wereselected for total 5 critical to quality (CTQ), which were the kindness, the waiting time, the examination explanation, the waiting day and the waiting stand environment, that increased the reserved time of CT examination. In the stage of measurement, the number of examinations and of reservation waiting days performed and resulted in final CTQ(Y) which measured each 1.68 and 1.85 sigma. In the stage of analysis, the examination concentrated on morning time, non-scheduled examination of the day, the delayed time of booking, frequent telephone contacting and equipment malfunction were determined as variable key causes. In the stage of improvement, it were performed with expansion of the examination in the morning time, integration of laboratories that used to in each steps, developing the ability of simultaneous booking schedule for the multiple examinations, developing program of examination request, and the customer management team operations. For the control, the number of examinations and reserved waiting days were measured each 3.14 and 1.13 sigma.