• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.9
• /
• pp.4478-4484
• /
• 2013

The existing mobile customization researches have been performed by the single customization technique to change service of single device. But, the existing single customization techniques are insufficient to change mobile service to multiple devices in batches. In this paper, we propose the customization technique for customizing multiple devices sharing flow control data of mobile service. A multiple customization technique is based on the push service and the cloud service.

• Journal of Information Technology Services
• /
• v.18 no.4
• /
• pp.115-134
• /
• 2019

The global music industry has been growing steadily every year. In particular, the proportion of music streaming services in the overall market are expanding. It shows same pattern in domestic market. Also, several companies are providing music streaming services competitively. It is clear that there is growing interest in effective operations of music streaming services. In this study, we examine the impact of customization and network effect on service quality and customer loyalty. We collect survey data and analyze relationships between latent variables using structural equations modeling. We find that customization and network effect of music streaming services positively affect service quality. However, the effect of customization on customer loyalty is not significant and there is a negative effect of network effect on customer loyalty. Finally, we find that service quality works as a mediator between customization and customer loyalty, and service quality also works as a mediator between network effect and customer loyalty.

• Journal of Korean Society for Quality Management
• /
• v.47 no.2
• /
• pp.255-269
• /
• 2019

Purpose: We examine the impact of Customization of TV Home Shopping Mobile Applications on Service Quality and Customer Loyalty. Methods: We collect data by using survey and proposed relationships between latent variables using Structural Equations Modeling. Results: We find that Customization of TV Home Shopping Mobile Applications positively affect Service Quality and Customer Loyalty. In addition, service quality work as a mediate variable between Customization with Customer Loyalty. Conclusion: Our findings explain the significant relationships between each variables and hence it is necessary to consider Customization and Service Quality in order to achieve desired goal of enhancing business performance through mobile applications.

• The Research Journal of the Costume Culture
• /
• v.20 no.1
• /
• pp.1-17
• /
• 2012

The purposes of this study were to analyze factors of mass customization for hair salon's customers and to identify the differences among groups segmented by mass customization level. The self-administered questionnaire was used for data collection. The respondents were 423 women using hair salons. Factors of hair salon's mass customization implementation were sanitary condition & hair salon's staff, hair styling technique, communication service, tangible service, monetary support, convenience service, and visible service. Hair salon's customers were categorized into the high-level of needs group, the middle-level of needs group, and the low-level of needs group. The high-level of needs group consisted of university students or women with a higher education or higher income. This group selected beauty salons by the promotion or advertisements, preferred their own unique hair style or a little-fashionable hair style, and showed a lower level of patronage. The middle-level of needs group consisted of university students or women with a higher education or higher incomes. They selected hair salons by service prices, preferred a basic hair style, and showed a midium level of patronage. The low-level of needs group consisted of women with lower education or lower income. They selected beauty salons by career of hair dressers or the promotion or advertisement, preferred highly fashionable hair style, and showed high level of patronage.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.36 no.4
• /
• pp.43-61
• /
• 2011

We first develop a value ecosystem framework to model the SDP(Service Delivery Process) of web services. Since the web service has been evolving from the basic web architecture (e.g., traditional world wide web) to a prosuming platform based on virtualization technologies, the proposed framework of the value ecosystem focuses on capturing the key characteristics of SDP in each type of web services. Even though they share the basic elements such as PP(Platform Provider), CA(Customization Agency) and user group, the SDP in the traditional web services (so-called Web1.0 in this paper) is quite different from the most recent one (so-called Web2.0). In our value ecosystem, users are uniformly distributed over (0, ${\Delta}$), where ${\Delta}$��represents the variety level of users' preference on the web service level. PP and CA provide a standard level of web service(s) and prosuming service package, respectively. CA in Web1.0 presents a standard customization package($s_a$) at flat rate c, whereas PP and CA collaborate and provide customization service with a usage-based scheme. We employ a multi-stage game model to analyze and compare the SDPs in Web1.0 and Web2.0. Our findings through analysis and numerical simulations are as follows. First, the user group is consecutively segmented, and the pattern of the segmentations varies across Web1.0 and Web2.0. The standardized service level s (from PP) is higher in Web1.0, whereas the amount of information created in the value ecosystem is bigger in Web2.0. This indicates the role of CA would be increasingly critical in Web2.0: in particular, for fulfilling the needs of prosuming and service customization.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.4
• /
• pp.147-167
• /
• 2020

The purpose of this study is to analyze the factors influencing the intention of revisiting and recommending by applying a structural equation model, targeting the service quality factors of university libraries derived from previous studies. For 11 days from April 30th, 2020 to May 10th, 2020, a total of 127 user groups (undergraduate students, graduate students, professors/instructors) were surveyed on their intention to revisit and recommend. The analysis results are as follows. 'Materials' and 'service customization' were shown as quality dimensions that influence revisit. In addition, revisiting was found to have an effect on recommendation intention, and it was analyzed that 'materials' and 'service customization' affect not only revisit but also recommendation intention. In addition, 'service customization' was found to be a factor that directly affects the intention to recommend. Based on this, a method of applying the concept of customization to library services and marketing was proposed in an environment where users' needs are diversifying and becoming personalized.

• The KIPS Transactions:PartD
• /
• v.12D no.6 s.102
• /
• pp.899-904
• /
• 2005

Necessity of the service-on-demand that reflect a personal characteristic of a customer was increased by an aggravation of web service competition. So a study on a customization is being performed actively. The common customization system supporting of the personalization is performed through the computational data like individual characteristic or preference. Various studies on the service that used emotional information were performed. But we can't use this emotional information in the web system because of characteristics of emotional information system In this study, we design the adaptive customization system that used emotional information of the customer and analyse the system by experiments.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.9
• /
• pp.4498-4506
• /
• 2013

Due to smart work, the variety of tasks are performed in the mobile environment. According to the main flow, it is required to provide the various business services and change the business services instantly. Thus, in this paper, we propose a mobile customization technique for changing mobile services in real time. The mobile customization technique of this paper propose the customization architecture and process that is based on GCM's push service of Google and Intent technology of Android.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.30 no.3
• /
• pp.82-88
• /
• 2007

Service engineering is a new discipline which aims at basically understanding of service and a concrete methodology using engineering approach for service design. In this paper is introduced the serviset graph [7] which is a comprehensive concept to represent service products, processes, and operation activities. The proposed concept is a degree of commonality index in a service product in order to deal with service mass customization using the input-output analysis in economic model.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.2
• /
• pp.259-270
• /
• 2008

The convenience and flexibility due to the spread of Internet allowed consumers to easily participate in marketing activity. Consumers want to participate in designing, manufacturing, delivering of products and service by expressing their opinions to the companies because they want to buy customized goods where their requirements are incorporated. We can expect that, through this interactive process of customization between consumers and companies, strong relationship quality may be built as a result of the interaction. The main purpose of this study is to examine the influence of consumer perception of customization on relationship quality in the e-business context. To accomplish this purpose, I reviewed the concept of customization, identified the perceptive factors of customization in e-business context (i.e., perception of participation level, assessment of flexibility), and examined the type of customization. Whether customization type generates varying degrees of perception of customization and relationship quality is revealed. As a result, collaborative product/service customization generated the highest relationship quality. Assembled product customization that was built based only on predicted consumer needs without any interaction between consumer and company showed a low level of relationship quality. And this type had no significant difference from standardized products. In short, there is a strong need for e-business companies to interact with consumers to improve relationship quality.