• Journal of Digital Convergence
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• v.14 no.10
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• pp.311-317
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• 2016

In a smart commerce market, customers are seeking customized shopping services optimized for personal tastes and customized shopping experiences based on customers' tastes. Accordingly, individually customized services are needed more than anytime now. According to this demand, companies provide messaging services to the consumer, but do not include a personalized service for each individual. The purpose of this study is to combine the techniques of personalized services with messaging services and presents system construction plan and integrated model system for corporate messaging services and thereby possible are maximizing marketing effects and analyzing effects of cost savings. Applying the operation of the integrated model is proposed and message transmission scheme through effective personalization can be applied to personalized model using the personalized information according to customers' requirements. The integrated model of personalization on this study is expected to be highly effective when combined with the search service.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.183-191
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• 2017

This study tries to explain the relationships among omni-channel service characteristics, utilitarian/hedonic shopping value, and reuse intention. We derive instant connectivity, localization, consistency, integration, privacy risk as omni-channel service characteristics from previous studies and collect data from 190 omni-channel service users. The major findings are as follows. First, localization, consistency, and privacy risk have a significant effect on utilitarian shopping value but no significant effect on hedonic shopping value. Second, instant connectivity and integration have a positive effect on both utilitarian and hedonic value. Third, utilitarian and hedonic shopping value have a positive effect on reuse intention. This study extends the scope of omni-channel consumer behaviors by focusing on multi-dimensionality of shopping value. The results of this research can provide useful implications for practitioners to build successful strategies on omni-channel service.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.235-246
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• 2015

Understanding the various unspecified hacking and repeated cyber DDoS attacks, finally was able to find a solution in the methods of attacks. Freely researching approach that combines the attacker and defender, offensive and defensive techniques can be called a challenge to discover the potential in whimsy. In this paper we test and evaluate "KWON-GA", global white hackers team has made by many years of experiences in infiltration and diagnosis under guise of offence is the best defence. And it is knowledge information ICT Convergence security solution which is developed for the purpose of defence, it provide customization policy that can be fit to customer's system environment with needed techniques and it is processed with unique proprietary technology so that it's not possible to scan. And even if it has leaked internally it's impossible to analyze so hackers can't analyze vulnerability, also it can't be abused as hacking tools.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.151-156
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• 2016

The purpose of this study is to find out key factors(specialized knowledge, manner, interaction) of real estate brokerage service quality derived from previous researches and to identify degrees of relations among the key factors and request intention. To do this, first of all, this study makes surveys including variables of estate brokerage service quality, credibility, and request intention. Second, it collects the data from respondents who have visited real estate brokerage firms. Finally, the data are analyzed by applying an exploratory factor analysis and a confirmatory factor analysis which is based on a structural equation modeling. The result of these surveys describes that only the interaction affects the credibility positively and the credibility has positive effects on the request intention. At the same time, the interaction impacts on the request intention directly. Therefore, these analysis results suggest that managers of real estate brokerage firm focus on the interaction of the real estate brokerage service quality factors in order to improve the customers' request intention.

• 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.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.75-85
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• 2019

For the growing importance of mobile communication, this study sets out to investigate the factors that influencing mobile phone customer satisfaction behavior through a structural equation model. This study proposes six factors model as the key determinants of customer satisfaction. Furthermore, we examine the moderating effect of demographic factors. The study was conducted using a structured questionnaire, data collected from 386 active subscribers. Results confirm that brand name, social influence and after sales service are the three significant determinants of consumer satisfaction. This study finding also suggests that demographic attributes have important consequences on customer satisfaction. The study findings offer an extended theoretical understanding towards customers' mobile satisfaction in the emerging market perspective and for practitioners, potentially to other similar context.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.89-101
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• 2021

Scale-up of ICT startups is not easy because of limited capabilities, lack of resources, and immature networks for the business. Therefore, this research selected a representative startup succeeded in scale-up and applied the ERIS model in analyzing their scale-up process in the initial stages of scale-up. Analysis of qualitative data collected revealed that the entrepreneurs' experience, convergence of knowledge between diverse industries, participation in public-sector-led R&D, management of communication channels between customers and businesses, and utilization of project-oriented campaigns are found to be critical success factors in scaling up ICT startups. Academically, this study validates the utility of ERIS model in analyzing the scale-up process. For practitioners, this study will be used as a reference for strategic development in seucring the competitiveness of the initial market of ICT startups and scale-up.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.403-412
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• 2015

In this study, IPA(Importance-Performance Analysis) techniques were used to suggest improvement plans and implications for convergent medical tourism services which medical tourists can be satisfied in Medical institutions. For this study, a total of 244 questionnaires among collected data for customers who experience a medical tourism service (a health checkup) at four hospitals located in Gangneung, Gangwon Province from September 1, 2014 to October 30, 2014 was to ensure a valid sample. As a result of the experiments which conducted by paired sample t-test analysis to learn corresponding to the difference between importance and satisfaction of the medical tourism services, it shows significant differences in all entries In the importance and satisfaction of the medical tourism services. As a result of the experiments which conducted by the IPA, the importance is high awareness but among service items which satisfaction is not actually high, service items that requires intensive care in the future are derived in items of "exact medical tourism services", "rapid response to the needs of the patient", "rapid medical tourism services", "communication with medical tourism coordinator". Therefore, medical institutions may need to be arranged in the Medical Tourism Coordinator with the agility and expertise of the medical tourism.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.1-16
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• 2023

This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.