Customers of local monopolistic department store can switch their store more easily than ever due to the rapidly changing environment in distribution system represented by multi-store-strategy of large department stores, increase in discount store and growing non-store retailing system. Consequently, local department stores which enjoyed their business with little competition are forced to study and understand the customer switching behavior. This work is intended to understand the switching behavior characteristics of monopolistic local clepartrrent store users. For the end, previous researches are reviewed firstly, then characteristics of store-switching behavior of custorrers amid rapidly changing distribution environment are studied in view of the relations of dissatisfaction factor, switching barrier, switch intention and custorrer characteristics such as shopping orientation, variety-seeking behavior, degree of openess to competition and sociodemographics. Study shows that; 1) dissatisfaction factor is related to customer characteristics (shopping orientation and degree of openess to competition), 2) switching barrier recognition is related to customer characteristics (degree of openess to competition and sociodemographics) and dissatisfaction factor, 3) intention to switch to expected competitor is related to customer characteristics (shopping orientation, degree of openess to competition and sociodemographics) and switching barrier recognition. Accordingly, switch control strategy of the monopolistic local department store facing competitors' entry into market, must be made, specifically, in a way to understand customer characteristics and to make deliberate effort to reduce customer dissatisfaction.
This study aimed to investigate the influence of consumers' innovativeness, perceived benefits of home shopping mobile apps, and satisfaction with telephone orders on switching to and satisfaction with such apps (for those who have used these apps). This study also investigated the influence of the aforementioned factors on the intention to switch to home shopping mobile apps (for those who have not used these apps). Data were collected from 546 customers ranging in age from 18 to 59 with experience purchasing fashion goods from home shopping networks, and 502 of the questionnaires were used in the statistical analyses. Structure equation models were employed using AMOS 23.0. The results were as follows: for consumers experienced with home shopping mobile apps, their innovativeness and perceived benefits of such apps (convenience, usefulness) influenced their switching behavior. Additionally, consumers' innovativeness and perceived benefits of these apps (usefulness, accessibility, interactiveness) affected their satisfaction with the apps. For those not experienced with home shopping mobile apps, consumers' innovativeness and perceived benefits of the apps (interactiveness, security, enjoyment) influenced their intention to switch to these apps. These results indicate that different strategies should be developed for home shopping consumers experienced and inexperienced with these apps for the improvement of app satisfaction.
This study uses S-O-R framework to examine the relationships among consumers' perception of economic benefits, usefulness, privacy risks, switching cost, and emotions and continued intention usage. Results from an online survey of 324 qualified respondents were analyzed using the structural equation model. The results of the survey showed that first, perceived economic benefits and perceived usefulness has a positively effect on consumers' positive emotions. Second, perceived privacy risks have a negative effect on consumers' positive emotions. Third, perceived usefulness has a negative effect on consumers' negative emotions. Fourth, perceived switching cost has a positive effect on consumers' negative emotions. Fifth, consumers' positive and negative emotions have an effect on continuous usage intention. Sixth, consumers' positive and negative emotions have a mediating effect. The S-O-R model can explain consumer's continued intention to use mobile payment services. The study analyzed the emotional elements of mobile payment services. Emotional elements through mobile payment services can be applied to other financial services. Therefore, this study can guide emotional related practices with various future consumer electronic services.
This study examined the variables that affect whether consumers change broadband internet services by examining their past experiences and intention to switch carriers by targeting consumers who have switched broadband internet service providers. Among adult consumers who intended to switch broadband providers, 341 people who had experience were subject to logistic regression analysis using SPSS for Windows ver. 17.0 to examine frequencies, means, percentages, and factor analysis. The following results were revealed. First, the targets were currently using broadband internet service in the order Company S > Company L > Company K > others. Excluding the others, Company K had the most conversions (from 96 to 78), followed by Company S (from 107 to 97), and Company L (from 43 to 97), which more than doubled the number of subscribers. The reasons for switching carriers in the past were as follows: for Company K, consumers switched to other companies because of unsatisfactory fee services; for Company S, consumers switched to other companies because of quality, advertising and promotional activities, and commitment periods ending; for Company L, the consumers switched to other companies because of fee, quality, and service; and for other companies, the consumers switched to other services because of unsatisfactory quality. Second, the analysis of the elements that determined whether a consumer will switch broadband internet service providers showed that college graduates and individuals who had switched carriers voluntarily in the past were more likely to switch to a new broadband internet service provider. Furthermore, passive consumers had a higher probability of switching. Moreover, when consumers were less satisfied with the fees and services, there was a greater chance of switching to another company.
Recently, due to the rapid development of IT (information technologies), a variety of attempts have been made to incorporate IT into other fields such as finance and manufacturing. Among them, a novel concept in the spotlight is FinTech, which is a combined word of finance and technology. FinTech is a line of business demonstrating an innovation development through IT in the financial service industry. One of the most popular types of FinTech is a third-party mobile payment service (MPS), the examples of which can be easily found in South Korea while the actual use of the service is relatively inactive. Therefore, the main purpose of this paper is to empirically investigate influencing factors of intention to use the third-party MPS. Based on individual characteristics and the task-technology fit model, the research model of the study is developed, with switching cost included as a moderating variable. The results of structural equation model testing with 316 potential users of Kakao Pay, one of the most popular business models of the third-party MPS, show that innate innovativeness, task characteristics, and technology characteristics are positively influencing task-technology fit, which in turn significantly affects intention to use the third-party MPS. The negative moderating role of switching cost is also found. These results could help managers develop better strategies to motivate potential users to participate in their services.
Many studies have been conducted to find the causal factors that influence salesforce performance and turnover behavior. This study focuses on the turnover intention of salesperson. Specifically this study argues that the causal relationship among job performance, job stress and turnover intention will be mediated by job conflict of salesperson. We develop the hypotheses from the conceptual framework and empirically test them for the salespersons of lifetime insurance companies. Based on the previous studies and conceptual framework developed in this study, we derive 8 hypotheses. <Figure 1> shows the conceptual framework from which hypotheses are derived. Hypotheses for the empirical test are as follows: H1: Job performance will have negative impact on the turnover intention. H2: Job performance will have negative impact on the job conflict. H3: Job stress will have the positive relationship with the turnover intention. H4: Job stress will have the positive relationship with the job conflict. H5: Job conflict will have the positive relationship with the turnover intention. H6: The negative impact of job performance on the job conflict will be moderated by job education/training. H7: The positive impact of job stress on the job conflict will be moderated by job training. H8: The positive impact of job conflict on the turnover intention will be moderated by the switching costs. To test the 8 hypotheses, we estimate the level of fitness and parameters of structure equation model by using AMOS 5.0. <Table 1> shows the results of empirical tests for hypotheses. <Table 2> shows the moderating effect of job training. <Table 3> shows the moderating effect of switching costs. This empirical study finds interesting results. The job training has the moderating effect on the causal relationship between job performance and job conflict. But it is found that the job training has not the moderating effect on the causal relationship between job performance and job conflict. These results may be due to the fact that Korean insurance company mainly focuses on training of the job skill and knowledge, not motivational elation of salesforce.
Journal of Information Technology Applications and Management
/
v.26
no.4
/
pp.51-69
/
2019
One of the most considerate phenomena of the era of the Fourth Industrial Revolution is the use of digital devices. Digitalization is rapidly advancing through all areas of industry and life. Customer journey with digitalization is looking totally different from previous customer journey. The research targets were users of fashion, automobiles, cosmetics and online shopping malls. We analyzed 300 people for each valid questionnaire. The results of the study are as follows. First, it has been proven that digital experience affects positive (+) impact on purchasing intention and positive (+) impact on recommending intention and negative impact (-) on switching intent and subsequently affects positive impact (+) to purchase and incase of switching intent, negative impact (-) to purchase. Unlike traditional methods such as SPC(Service Profit Chain), the Digital experience to Purchase process Chain (DPC) has been identified to be suitable in the digital age. Second, the digital satisfied group (5 score-very satisfaction) has shown same result as above. However the digital neutral group (even though 4 score- satisfaction in five-point scale), specially in a highly competitive industry, has different from the satisfied group and 3 score-normal is same as dissatisfied group. It means that this group is that If there is a high level of attractiveness of substitute goods, there is a high possibility of switching them. It has supported Jones and Sasser [1995] that there have been two types of loyalty of true long-term loyalty and what we call false loyalty in the highly competitive industry zone which is commoditization or low differentiation, many substitutes, low cost of switching. Identifying true loyalty and false loyalty is crucial to establishing a customer experience strategy. it is necessary to actively utilize long-term digital experiences strategy to increase the total satisfaction of digital experience through all of customer purchasing journey in order to enhance the digital customer experience. It is difficult to see the effect as a one-time event. It should be scaled over the entire customer purchase process over a long period of time, which can positively affect purchase intention, recommendation intention, and conversion intention. This is also why it is difficult for second-runners to overtake first-runners in a short period.
Recently, the proliferation of mobile devices such as smartphones and tablet personal computers and the development of information communication technologies (ICT) have led to a big trend of a shift from single-channel shopping to multi-channel shopping. With the emergence of a "smart" group of consumers who want to shop in more reasonable and convenient ways, the boundaries apparently dividing online and offline shopping have collapsed and blurred more than ever before. Thus, there is now fierce competition between online and offline channels. Ever since the emergence of online shopping, a major type of multi-channel shopping has been "showrooming," where consumers visit offline stores to examine products before buying them online. However, because of the growing use of smart devices and the counterattack of offline retailers represented by omni-channel marketing strategies, one of the latest huge trends of shopping is "webrooming," where consumers visit online stores to examine products before buying them offline. This has become a threat to online retailers. In this situation, although it is very important to examine the influencing factors for switching from online shopping to webrooming, most prior studies have mainly focused on a single- or multi-channel shopping pattern. Therefore, this study thoroughly investigated the influencing factors on customers switching from online shopping to webrooming in terms of both the "search" and "purchase" processes through the application of a push-pull-mooring (PPM) framework. In order to test the research model, 280 individual samples were gathered from undergraduate and graduate students who had actual experience with webrooming. The results of the structural equation model (SEM) test revealed that the "pull" effect is strongest on the webrooming intention rather than the "push" or "mooring" effects. This proves a significant relationship between "attractiveness of webrooming" and "webrooming intention." In addition, the results showed that both the "perceived risk of online search" and "perceived risk of online purchase" significantly affect "distrust of online shopping." Similarly, both "perceived benefit of multi-channel search" and "perceived benefit of offline purchase" were found to have significant effects on "attractiveness of webrooming" were also found. Furthermore, the results indicated that "online purchase habit" is the only influencing factor that leads to "online shopping lock-in." The theoretical implications of the study are as follows. First, by examining the multi-channel shopping phenomenon from the perspective of "shopping switching" from online shopping to webrooming, this study complements the limits of the "channel switching" perspective, represented by multi-channel freeriding studies that merely focused on customers' channel switching behaviors from one to another. While extant studies with a channel switching perspective have focused on only one type of multi-channel shopping, where consumers just move from one particular channel to different channels, a study with a shopping switching perspective has the advantage of comprehensively investigating how consumers choose and navigate among diverse types of single- or multi-channel shopping alternatives. In this study, only limited shopping switching behavior from online shopping to webrooming was examined; however, the results should explain various phenomena in a more comprehensive manner from the perspective of shopping switching. Second, this study extends the scope of application of the push-pull-mooring framework, which is quite commonly used in marketing research to explain consumers' product switching behaviors. Through the application of this framework, it is hoped that more diverse shopping switching behaviors can be examined in future research. This study can serve a stepping stone for future studies. One of the most important practical implications of the study is that it may help single- and multi-channel retailers develop more specific customer strategies by revealing the influencing factors of webrooming intention from online shopping. For example, online single-channel retailers can ease the distrust of online shopping to prevent consumers from churning by reducing the perceived risk in terms of online search and purchase. On the other hand, offline retailers can develop specific strategies to increase the attractiveness of webrooming by letting customers perceive the benefits of multi-channel search or offline purchase. Although this study focused only on customers switching from online shopping to webrooming, the results can be expanded to various types of shopping switching behaviors embedded in single- and multi-channel shopping environments, such as showrooming and mobile shopping.
As the information from today's knowledge-based society alters the awareness of patients and provides a wider selection of medical institutions, the reality of medical institution management is struggling compared to the past. CRM was introduced to domestic hospitals as marketing strategy to dominate the competition under varying medical environment. Thus, this research invests on CRM activity types used in hospitals and the effects of CRM activities toward loyalty and switching intention. Futhermore, we investigate the mediating role of customer relationship commitment and termination in CRM activities. The subjects in this study included three hundred customers who are using hospital settings or who had experience with using the hospital settings. The researcher collected 262 survey questionnaires from May 23th, 2011 to June first. In order to evaluate the hypothesis in this study, structural equation model was analyzed by using AMOS 18.0.
Most of the IS continuance research has assumed that IS use is activated by an intention to use, which in turn is determined by the evaluation of IS usage. Perceived usefulness is one of the evaluation variables most widely used. Typically, the past studies adopt this perceived usefulness because it views continuance as an extension of acceptance behavior. However, the literature on interpersonal relationships suggests that individuals are motivated to maintain relationships either because they genuinely want to or they believe they have no other option. The former is referred to as dedication-based relationship maintenance and the latter as constraint-based relationship maintenance. The IS continuance can be considered as the relationship maintenance situation with the existing IS that the user is currently using. The belief constructs previously used in IS continuance researches fall into the category of dedication-based ones. Additional constraint-based belief constructs are needed to explain the IS continuance behavior. In this regard, switching cost represents an important avenue for better understanding and predicting customer retention in that it can be regarded as the constraint-based motivation for relationship maintenance or IS use continuance. For an empirical exploration, 275 samples were collected from the users of a web portal site. Data analysis using Structural Equation Modeling (SEM) shows that perceived usefulness shows a significant direct effect on continuance intention while perceived switching cost significantly affects continuance usage.
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