• Journal of Distribution Science
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• v.16 no.6
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• pp.85-96
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• 2018

Purpose - There are many antecedences and consequences of the positive emotions of customers. The purpose of this research is to examine how Chinese service companies improve not only the positive emotions of customers but also the quality of life through effective verbal and nonverbal communication. Furthermore, we tried to analyze the moderating role of negative expectancy disconfirmation perceived by customers in those causal relationships among the variables. Research design, data, and methodology - The eight hypotheses were proposed and we tested them empirically in this research. Four hypotheses were about the relationship among communication, positive emotion, trust and quality of life. The other four hypotheses were about the moderating effect of negative expectancy disconfirmation in the causal relationships among four variables such as communication, positive emotion, trust and quality of life. A total of 356 samples who had visited the service companies in China were surveyed and 8 hypotheses were tested by empirical analysis using SPSS and AMOS. Results - The results of this research are as follows. First, positive verbal communication and nonverbal communication of employees in the service company have a positive effects on the positive emotions of customers. Second, positive emotion has a positive effect on the overall quality of life on the customer side as well as the trust on the corporate side. Third, negative expectancy disconfirmation perceived by customers has negative moderating effect in the causal relationship between employees' positive verbal communication and customers' positive emotion, and it also has a negative moderating role in the causal relationship between customers' positive emotion and overall quality of life. Conclusions - Based on these results, there can be such implications as follows. First, managers and employees of service companies can induce positive emotion of customers through effective communication. Second, service companies should try to improve not only the corporate-side performance like trust but also the customer-side performance like quality of life. Third, it will be significant for them to lower the level of negative expectancy disconfirmation for the purpose of improving not only the positive emotions of customers but also the quality of customers' life.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.1
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• pp.33-40
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• 2007

A multi-server queueing system with finite buffer is considered. The input flow is the BMAP (Batch Markovian Arrival Process). The service time has the PH (Phase) type distribution. Customers from the BMAP enter the system according to the discipline of partial admission. Besides ordinary (positive) customers, the Markovian flow (MAP) of negative customers arrives to the system. A negative customer can delete an ordinary customer in service if the state of its PH-service process belongs to some given set. In opposite case the ordinary customer is considered to be protected of the effect of negative customers. The stationary distribution and the main performance measures of the considered queueing system are calculated.

• Bulletin of the Korean Mathematical Society
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• v.43 no.2
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• pp.277-292
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• 2006

We consider a single-server queue with service time distribution of phase type where positive customers, negative customers and disasters arrive according to a Markovian arrival process with marked transitions (MMAP). We derive simple formulae for the stationary queue length distributions. The Laplace-Stieltjes transforms (LST's) of the sojourn time distributions under the combinations of removal policies and service disciplines are also obtained by using the absorption time distribution of a Markov chain.

• Communications of the Korean Mathematical Society
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• v.13 no.2
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• pp.405-434
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• 1998

We consider an M/M/c queue with two types of custormers, positive customers and negative customers. Positive customers are ordinary ones who upon arrival, join a queue with the intention of getting served and each arrival of negative customer removes a positive customer in the system, if any presents, and then is disappeared immediately. The Laplace-Stieltjes transforms (LST's) of the sojourn time distributions of a tagged customer, joinly with the probability that the tagged customer completes his service without being removed are derived under the combinations of various service displines; FCFS, LCFS and PS and removal strategies; RCF, RCH and RCR.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.1
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• pp.105-124
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• 2007

CRM (Customer Relationship Management) becomes a crucial paradigm as the environment of the market changes. About the CRM actively maintaining and managing customers that have been already acquired, the research has been done as a plan to lure loyal customers who bring lucrative profits in the long term for the company in order to increase the value to the customers. However, in practice, the focus is on putting spurs to attracting new customers in a short term rather than retaining existing customers who give profitable revenues. If the company puts high emphasis on drawing the new customers, in a CRM's point of view in relation to the value of the customers, it can incur a loss in the long run. The reason is that if the firm conducts discriminative sales promotion, the existing clients with high loyalty will feel relatively treated inappropriately and they will have negative feelings such as being betrayed from the company they prefer. This occurrence of negative emotion can in-crease the possibility of highly profitable clients' secession. In consequence, this paper focusing on the process of the client segmentation at the mobile telecommunication services shows that the sales promotion strategy for the new customer attraction can lead to negative effect on the loyalty of the existing customers.

• Journal of Distribution Science
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• v.22 no.8
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• pp.125-135
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• 2024

Purpose: This paper aims to reveal similarities and differences in behaviors in negative consumer-brand relationships. Thus, we focused on consumer motivation which includes intensity and direction of behaviors. The motivation for negative customer behavior has been discussed in the context of brand hate, but there is only limited research that has tried to measure it using quantitative methods. We are trying to measure customers' motivation in negative consumer-brand relationships and reveal the relationship between in-field customers' negative behaviors. Research design, data, and methodology: We adopt Reactive-Proactive aggression to measure the motivation of customers' behaviors in a negative consumer-brand relationship. Also, to reveal the relationship between in-field behavior and customer aggression, we survey Korean game communities to reactive-proactive aggression and behaviors, whether they participate, in each observed behavior during the serial negative consumer movements that occurred in the Korean game industry. As a methodology, we run multinomial logistic regression. Results: We observed 9 behaviors in this case, and we found that reactive-proactive aggression is related to participation and motivation of these behaviors. Conclusions: We suggest the potential of reactive-proactive aggression as motivation for customers' complex negative behaviors. Based on this potential, we hope reactive-proactive aggression could be used to reveal similarities and differences in behaviors in negative consumer-brand relationships.

• Journal of Distribution Science
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• v.22 no.8
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• pp.137-145
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• 2024

Purpose: This paper aims to reveal similarities and differences in behaviors in negative consumer-brand relationships. Thus, we focused on consumer motivation which includes intensity and direction of behaviors. The motivation for negative customer behavior has been discussed in the context of brand hate, but there is only limited research that has tried to measure it using quantitative methods. We are trying to measure customers' motivation in negative consumer-brand relationships and reveal the relationship between in-field customers' negative behaviors. Research design, data, and methodology: We adopt Reactive-Proactive aggression to measure the motivation of customers' behaviors in a negative consumer-brand relationship. Also, to reveal the relationship between in-field behavior and customer aggression, we survey Korean game communities to reactive-proactive aggression and behaviors, whether they participate, in each observed behavior during the serial negative consumer movements that occurred in the Korean game industry. As a methodology, we run multinomial logistic regression. Results: We observed 9 behaviors in this case, and we found that reactive-proactive aggression is related to participation and motivation of these behaviors. Conclusions: We suggest the potential of reactive-proactive aggression as motivation for customers' complex negative behaviors. Based on this potential, we hope reactive-proactive aggression could be used to reveal similarities and differences in behaviors in negative consumer-brand relationships.

• Asia Marketing Journal
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• v.16 no.1
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• pp.149-168
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• 2014

This study investigates the effect of perceived risk on attitude toward mobile Social Network Services (SNSs). First, we understand that perceived risk of SNSs is a multidimensional concept, and we study the relationship between attitude and perceived risk such as social risk, performance risk, and privacy risk in SNS environments. Subsequently, the relationships between these multidimensional concepts of perceived risk and attitude are investigated. The result indicates that social, performance, and privacy risk have negative effects on attitude. In addition, the moderated effect of individual characteristic variables such as hedonic value and self-construal are confirmed as mitigating factors that alleviate the negative impact of perceived risk. The Findings show that customers who perceive SNSs to be risky are more likely to have a negative attitude toward SNSs. However, the negative impact of perceived risk on their attitude toward SNSs is alleviated in customers with high hedonic value. Similarly, the negative impact of perceived risk on their attitude toward SNS is weaker with customers in interdependent self-construal. This paper presents effective segmentation variables, such as consumer's motivation (hedonic value) and psychological variable (self-construal), which mitigate the risk perception of customers. Therefore, it provides practical guidelines for the marketing managers in terms of who to target and what kind of strategies to implement in terms of these segmentation variables to approach consumers more efficiently.

• Journal of the Korean Society of Food Culture
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• v.25 no.4
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• pp.456-465
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• 2010

The purpose of this study was to understand the interrelationships between customers' perception of service encounter elements, customers' emotional response and customer satisfaction in a family restaurant. Based on a total of 408 samples, this study reviewed the reliability and fitness of the research model and verified a total of 4 hypotheses using the Amos program. The hypothesized relationships of the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=821.151 (df=333), CMIN/df 2.466, GFI .878, NFI .927, IFI .955, TLI .949, CFI .955, RMSEA .060. The results showed that human factor ($\beta$=.426) and physical factor ($\beta$=.266) as service encounter elements in family restaurants were indicated to have a positive (+) influence on customers' positive emotion. For influence of customers' negative emotion, human factor ($\beta$=-.157) was surveyed to have a negative (-) influence. Also, customers' positive emotion ($\beta$=.716) and negative emotion ($\beta$=-.081) had significant effects on customer satisfaction. Limitations and future research directions are also discussed.

• The Korean Journal of Franchise Management
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• v.12 no.2
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• pp.51-60
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• 2021

Purpose: Waiting occured frequently in the service industry. Because waiting time is perceived as a loss by customers, perceived waiting time affects positive and negative responses to restaurants. If the waiting time is perceived as long, the waiting receptivity to accept the wait may also decrease. Therefore, restaurant stores need to increase waiting satisfaction so that customers can feel the waiting time shorter. Therefore, in this study, the effect of perceived waiting time and waiting satisfaction of customers visiting Taiwanese restaurant companies on waiting acceptability, emotions (positive and negative emotions) and satisfaction is investigated. Research design, data, and methodology: This study examines the structural relationship between perceived latency, waiting satisfaction, emotion, and satisfaction. To verify the purpose of this study, a research model and hypothesis were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All configurations were measured with multiple items tested and developed in previous studies. Data collected from 407 Taiwanese restaurant customers were analyzed using SPSS 22.0 and SmartPLS 3.0 programs. Confirmatory factor analysis was performed to measure the reliability and effectiveness of the measurement tool. Structural model analysis was performed to validate the study model. Results: The study results are as follows. Perceived waiting time was found to have a positive effect on negative emotions. In addition, it was found that waiting acceptability had a negative effect on negative emotions, and had a positive effect on positive emotions and customer satisfaction. Positive emotions were found to have a significant positive effect on customer satisfaction. Also, waiting satisfaction was found to have a positive effect as a moderating variable on the relationship between perceived waiting time and waiting acceptability. Conclusion: According to the results of this study, perceived waiting time was found to have a negative effect on eating out consumers. However, if the waiting time is satisfied, waiting time will increase the waiting time acceptability. Therefore, if customers are satisfied with the waiting environment by improving the quality of the waiting environment, it will be possible to establish a marketing ^*strategy^* that stimulates the positive effect of the perceived waiting time.