• Journal of Digital Convergence
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• v.18 no.2
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• pp.395-401
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• 2020

With the popularization of smartphones and the development of digital technologies, new concepts that maximize interactive communication have begun to appear in marketing strategies. One of them is the gamification marketing strategy that combines games with marketing that induces customer interest and voluntary participation. Gamification is a compound word of 'game' and '-fication', and marketing cases using game formats are being implemented in various fields. Therefore, this study will identify the implications of the usage of gamification that has become a trend, and analyze the gamification techniques and factors shown in various cases to suggest the direction of gamification as an effective marketing strategy. Companies are actively using gamification in their marketing strategies in a variety of forms and apply gamification techniques such as challenge, competition, accomplishment, reward, and relationship. As a result of the case analysis, important factors commonly identified in the gamification techniques used in marketing are 'Accomplishment' and 'Rreward'. Using various products and benefits obtained through solving a given mission or task as game elements, it was found to be an effective strategy to induce consumers' interest and participation and to promote consumption by encouraging consumers' immersion.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.833-843
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• 2016

Purpose: The purpose of this study is to evaluate the value of smart home service using contingent valuation method that is the method evaluating the value of service which will be provided in the future. Using this method, this study suggests proper price and market value of smart home service through figuring out customer's willingness to pay. Methods: To estimate willingness to pay for smart home service, this study uses double bounded dichotomous choice question. The survey was conducted for 2 months from December in 2015 to February in 2016. A total of 269 copies were used to estimate through R-programming. Results: The results of this study are as follows; Gender(especially woman), income, proposed price are the factors which affecting willingness to pay. As the result of this study, average price of willingness to pay for smart home service estimates as \29,653. Comparing with high-speed internet bundling service fee, this estimated price for smart home service is appropriate level for customers to accept. Conclusion: This study estimates consumer's willingness to pay for smart home service which is in the market entry stage. In corporate side, this study might be meaningful for estimating investment scale and profit. Also it could provide basis for establishing strategic policy to develop smart home service market in government side.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1310-1320
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• 2007

This study investigated the differences in the importance of store characteristics depending on on-line clothing store type and consumer age. The questionnaires were given to female residents in the ages between 20-39 in Seoul and Kyung-gi province during October 2006. The results were summarized as follows: 1. By analyzing the differences in importances of on-line store characteristics factors it was found that buying process service factor and product searching system factor were important in on-line general merchandise store. and buying process service factor and product factor(all the factors, such as store credit, product, screen-displayed design, searching and approaching system, customer management service) were important in on-line specialty store. 2. By analyzing the differences in importances of on-line store characteristics depending on the store type, buying process system such as refund policy, shipping, high-speed payment and rapid searching, screen-displayed design system, approaching and searching system were more important in on-line general merchandise store when comparing to specialty store. It also showed that the consumer considered the reputation of the store and its image more important in on-line general merchandise store. 3. By analyzing the differences in of on-line clothing store importance depending on age, in the case of on-line general merchandise store, it showed that people in their thirties regarded buying process service factor more important than twenties, and when it came to the product and searching system, it was vice versa. Twenties had a tendency to consider the aspect of product important and, relatively, thirties regarded searching and approaching system factor important. in the case of specialty store. It was found that women in their twenties had a tendency to consider product factor more important.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.19-27
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• 2008

The advance of IT brings various IT equipment which functions as creation, application, and distribution of digital contents, and its demand is increased in the market. As the world IT equipment market has grew steadily, some companies think of it as a good opportunity. But there is a entry barrier like IT Capabilities to the late movers. So some participate in the market, forming the technology alliance with a advanced company. Ironically, the market system set companies' partnership into rivalry. In this context, our study focused on strengthening late mover's competitiveness under the technology alliance. And we conducted the case study concerning the technology alliance, and showed a strategical implications. As a result, we found some challenges for late mover; price policy making by scientific demanding forecasting, preparatory research and management for brand identity and efficient contact points for customer management. We hope that results of the study will influence the development of digital contents industry.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.95-106
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• 2015

This study aimed to study the relational embeddedness theory which has been actively studied in the fields of marketing and psychology to the consulting industry. This study also aimed to find out if various efforts and pro-social service behavior of the consultant, a service provider in the consulting industry may have a positive effect on customer relationships. The results of the study can be summarized as follows: The pro-social service behavior of the consultant was verified to have a positive effect on relationship trust, relationship satisfaction with customers and relational embeddedness was found to have a positive effect on relationship trust and relationship satisfaction. In addition, relational embeddedness, relationship trust, and relationship satisfaction were found to have a positive effect on long-term relationship orientation.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.449-455
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• 2016

In this study, the survey targeting 180 in-service hair dressers from beauty salons located in Seoul was carried out in order to determine the connection between the practical tasks(scalp, shampoo, cut, blow dry, roll setting, blow dry, coloring) of national hairdresser licensing examination and the practical field. The utilization level of 7 practical subjects tasks was average except for hair coloring which showed a high support of spread and spread-skill tasks. Also, the utilization level of two subjects including haircut and coloring gave a positive influence on the practical skill (p<0.05). Therefore, practical application of haircut which is one of the most important subjects for in-service hair dressers and high quality education for customer satisfaction are necessary and it is necessary to check other subjects which have no influence on the practical field again.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.175-180
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• 2013

To compete global marketplace, many firms are adopting product families to increase variety, satisfy customer requirements, shorten lead-times and reduce costs. The key to a successful product family is the platform from which it is derived. When designing product families, it is important to resolve the tradeoff between product commonality and distinctiveness. To measure the commonality within a product family, it is necessary to develop the commonality index. It utilizes different parameters such as the number of common components, their cost, their manufacturing processes and so on. This paper present a new product family assessment index using the benchmarking method and considering environmental performance called green product family index(GPFI). Through the comparison analysis between some previous developed commonality indices and GPFI, we verify the suitability and effectiveness. Eventually, the proposed a new green product family assessment index can be helpful to design and develop the environmentally conscious product families.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.167-178
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• 2017

Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

• Informatization Policy
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• v.19 no.1
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• pp.45-73
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• 2012

Most online games today are provided via a website interface. Researchers found that various aspects of a game website importantly influence the success of the online game business. This paper aims at identifying key site-related quality factors affecting the success of online casual game websites and creating a model for measuring such success. To meet this end, we extracted basic factors from the literature and expanded them through a Delphi survey method in which domain experts were asked to identify key quality factors of online game websites. Then we performed a questionnaire survey using online game users for an empirical analysis. The results revealed that information quality, service quality, and system quality are all positively related to user satisfaction and that an increase in user satisfaction leads to an improvement in both gamer loyalty and business outcomes. However, it was found that gamers' loyalty does not necessarily increase business outcomes. The paper offers practical as well as academic implications based on the research findings.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.66-75
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• 2017

Priority disciplines are an important scheme for service systems to differentiate their services for different classes of customers. (N, n)-preemptive priority disciplines enable system engineers to fine-tune the performances of different classes of customers arriving to the system. Due to this virtue of controllability, (N, n)-preemptive priority queueing models can be applied to various types of systems in which the service performances of different classes of customers need to be adjusted for a complex objective. In this paper, we extend the existing (N, n)-preemptive resume and (N, n)-preemptive repeat-identical priority queueing models to the (N, n)-preemptive repeat-different priority queueing model. We derive the queue-length distributions in the M/G/1 queueing model with two classes of customers, under the (N, n)-preemptive repeat-different priority discipline. In order to derive the queue-length distributions, we employ an analysis of the effective service time of a low-priority customer, a delay cycle analysis, and a joint transformation method. We then derive the first and second moments of the queue lengths of high- and low-priority customers. We also present a numerical example for the first and second moments of the queue length of high- and low-priority customers. Through doing this, we show that, under the (N, n)-preemptive repeat-different priority discipline, the first and second moments of customers with high priority are bounded by some upper bounds, regardless of the service characteristics of customers with low priority. This property may help system engineers design such service systems that guarantee the mean and variance of delay for primary users under a certain bounds, when preempted services have to be restarted with another service time resampled from the same service time distribution.