• 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.

• Korea Journal of Hospital Management
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• v.12 no.2
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• pp.69-92
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• 2007

This research has classified waiting times into the three different ones according to service offering process and investigated the antecedents and consequences of types of waiting times. A service provider's concern and customer involvement were modeled as antecedent variables and negative emotion and service value as dependent variables. The empirical results of the study are as follows. A service provider's concern had significant influences on all the three types of waiting times whereas customer involvement was found to affect preprocess-waiting and postprocess-waiting times. Preprocess-waiting time had a significant impact on both negative emotion and service value and inprocess-waiting time only affects negative emotion. However, postprocess-waiting time had influenced none of the variables. The findings illustrate an important role of concern and involvement regarding to a customer's perceived waiting time and relative importance of waiting types on negative emotion and service value. A summary of the results are reported and managerial implications are discussed.

• Journal of Distribution Science
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• v.7 no.2
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• pp.45-61
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• 2009

The aims of this paper is to examine the key factor of customer satisfaction in the medical service. Especially service waiting is a significant component of the customer's overall satisfaction with the service process. For this purpose, this study proposed 6 hypotheses as follow : H1 : Waiting cost, affect on perceived service waiting, will be different between patient customer group and health care group. H2 : Controllability of the cause, affect on perceived service waiting, will be different between patient customer group and health care group. H3 : Controllability of the cause affect on perceived service waiting, will be different between patient customer group and health care group. H4 : Waiting environment, affect on perceived service waiting, will be different between patient customer group and health care group. H5 : Transaction importance, affect on perceived service waiting, will be different between patient customer group and health care group. H1 : Waiting cost, Controllability of the cause, Controllability of the cause, Waiting environment, Transaction importance, customer satisfaction will affect on service waiting significantly This study find that 1) Waiting cost and Transaction importance are significant variables to influence customer satisfaction between patient group and health care group. 2) customer satisfaction is very important variables to minimize perceived service waiting.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.15-33
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• 2014

Recently, the service providers are making various attempts to provide smartphone applications for waiting information in order for customers to perceive waiting time short. This research, therefore, investigates the impact of smartphone use on the waiting experience and provide service organizations with effective measures for managing customers' waiting. As a result of this study, utilization of smartphone during the waiting period shows the positive impact on perceived waiting time, acceptability, and emotional response. Among these, the largest impact appears on the acceptability of waiting that has the largest impact on the perceived service quality. In addition, results reveal that smartphone users shows more positive waiting experience than non-users who read newspapers or magazines, watch TV, or do nothing.

• Korea Journal of Hospital Management
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• v.15 no.3
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• pp.47-68
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• 2010

One of the important complaint factors by the patients using medical institutions is various kinds of waiting time. This research is about the causal relationships among waiting time(application of waiting time, perceived of waiting time, fairness of waiting, explanation of the delay, acceptance possibility), service values, and customer satisfaction. The subjects for this study were 256 out-patients currently using seven general hospitals in the Busan area. The findings of the empirical analysis are as follows: First, the good application of waiting time or fair waiting time procedure didn't actually affect perceived waiting time. Second, though the application of waiting time didn't affect acceptance possibility, the fair procedure of waiting time had an affirmative effect on acceptance possibility. Third, even when there was enough explanation about the need to wait, it could shorten perceived waiting time but failed to get sufficient sympathy or agreement from the patients. Fourth, the possibility of acceptance following the sufficient sympathy of patients had an effect on shortening perceived waiting time. Fifth, perceived waiting time lowered customer satisfaction, but had no negative effect on service values. Finally, the ranges of acceptance possibility by the patients were found to increase customer satisfaction and maximize service values. In conclusion, every medical institution needs to focus on, first of all, shortening waiting time for more customer satisfaction and improved service values.

• Korea Journal of Hospital Management
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• v.14 no.3
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• pp.132-153
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• 2009

The waiting time makes the customer be bored, and is the reason to obstruct the service quality evaluation. The managing waiting time appears to be the most important task, in accordance of physical inconvenience especially because the customers of the medical service are supplied in the unstabled status. Therefore, necessity and object of managing waiting time in the medical service were presented through the definition of waiting time and the consideration about preceding study, and the main cause of the waiting time was analyzed, furthermore the measure of actually indicated waiting time and various ideas for reducing the time were presented lastly as selecting a case study participative hospital for achieving the study object. This study will be one of role model as a solution to reduce the waiting time in each medical institution.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.575-585
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• 2016

This study aimed to prove that the effect of waiting environment on perceived waiting time and service quality evaluation of airline service procedure. Survey was conducted by questionnaires that were distributed to international airlines passengers who arrived at the airport. Totally, 300 samples were circulated, and 231 samples among those were collected. According to the results, the suggested hypotheses were accepted except the regulation effect of waiting acceptability. Physical environment has positive effect on the airport and boarding gate, and human environment has more positive effect in-flight service procedure. Thus, variables are correlated among waiting environment, perceived waiting time, and service quality evaluation of airline service. Acceptability as moderating variable has no effect due to passenger's pre awareness of estimated arrival and departure travel time certainly. At the end of this study, the results of this research can be conjugable on the airline industry, however, some limitations should be discussed by further study directions.

• Asia Marketing Journal
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• v.21 no.2
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• pp.21-49
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• 2019

This study examines a model which simultaneously contains two paths between waiting line and purchase intention: one tested the positive effect of waiting line through consumers' perceived quality, whereas another one go through consumers' emotional state to test the negative effect of waiting line on purchase intention. To further understand perceived quality, the study divided perceived quality into perceived product quality and perceived service quality. The study used restaurants in the experiment. Results indicated that although long waits in line will directly increase both consumers' product quality perception and negative emotions, the total indirect effects on purchase intention are still significantly positive. For consumers' perceived service quality, long waiting situations have no such effect on it. Significant results from a moderation analysis also shown that consumers in low-level knowledge settings are more influenced by waiting lines than those in high-level knowledge settings when they make the product's quality-related judgment. However, the level of consumer knowledge does not moderate the relationship between waiting lines and service quality.

• 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.

• Management Science and Financial Engineering
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• v.14 no.1
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• pp.23-34
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• 2008

In this study, we consider stationary waiting times in a Poisson driven single-server m-node queues in series. We assume that service times at nodes are independent, and are either deterministic or non-overlapped. Each node excluding the first node has a finite waiting line and every node is operated under a FIFO service discipline and a communication blocking policy (blocking before service). By applying (max, +)-algebra to a corresponding stochastic event graph, a special case of timed Petri nets, we derive the explicit expressions for stationary waiting times at all areas, which are functions of finite buffer capacities. These expressions allow us to compute the performance measures of interest such as mean, higher moments, or tail probability of waiting time. Moreover, as applications of these results, we introduce optimization problems which determine either the biggest arrival rate or the smallest buffer capacities satisfying probabilistic constraints on waiting times. These results can be also applied to bounds of waiting times in more general systems. Numerical examples are also provided.