• The Journal of Society for e-Business Studies
• /
• v.8 no.4
• /
• pp.207-221
• /
• 2003

Most commercially available collaboration support systems are not proper for small enterprises in a specific area such as small e-design companies, because they are focused on general functionalities, required by most large enterprises. In this paper, we analyze the requirements for improving communication environments of small e-design companies, and propose an advanced communication management tool which reflects those requirements. The communication platform focuses the acknowledgement process by customer and the schedule sharing and management between project members. The proposed system suggest a new research direction which supports the systematic collaboration with external entities such as customers rather than the unsystematic collaboration between internal members, and improves the communication environment of those small e-design companies that are desperately in need of a cost-effective way to carry out projects, and will help in the process of successful projects.

• Journal of Korea Technology Innovation Society
• /
• v.13 no.2
• /
• pp.332-364
• /
• 2010

External linkages affect the performance of small and medium enterprises in diverse ways. This study delves into the impact of inter-organizational collaboration by looking at different facets of performance, such as innovation, sales growth, profit growth, and firm survival. In addition, it explores the influence of informal knowledge spillover from collaborative partners as well as from formal collaborations. The impact is carefully investigated by dividing firm samples into three different sectoral innovation categories: supplier-dominant, production-intensive, and science-based sector suggested by Pavitt (1984). The result highlights the different influence pattern of collaborative relations by partner types according to sectoral categories. The positive results of collaborating with universities and public institutions are identified, and the sales growth by customer linkage is witnessed. The impact is apparent in science-based sectors. The result implies that the risk associated with collaborating with competitors may be moderated by linking performance enhancing collaborative linkages with universities and government institutes.

• Journal of Distribution Research
• /
• v.13 no.3
• /
• pp.127-154
• /
• 2008

For the large scale retailers such as chain discount stores and specialty stores, having measurement tool to maintain service quality can be very crucial to sustain high and same level of service qualities around multiple stores. This study aims to develop service quality scales of large-scale stores using Korean discount store cases. We have studied the previous service quality measures including RSQS(Retail Service Quality Scale) and have modified and developed our own scale model called KD-SQS(Korea Discount Service Quality Scale). The following six components have been revealed as the basic dimensions of service quality of Korean discount stores: basic benefits, promotion, personal interactions, physical aspects, policy and additional convenience. Our scales have been verified through various validity and reliability tests.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.3
• /
• pp.155-164
• /
• 2009

Digital Content Marketplace based on Interactive Media is defmed as the marketplace for content service between contents supplier and consumer through iDTV environment. This Marketplace is increasing interest to u-Life service with Digital Environment. To Interactive Media, it can contribute to enhance its effectiveness by developing various contents and service model in the initial phase of broadcasting-communication convergence. This study designed metadata using Digital Content marketplace based on Interactive Media. Specially the matadata designing include recommendation-tag for supply supplementary content. It can support self-directed action. Through basic metadata with weight value, it is designed to support supplementary content customer to want on the marketplace. Recommendation-System can be built by many method and to recommend the service content including explicit properties using collaborative filtering method can solve limitations in existing content recommendation.

• Journal of Digital Convergence
• /
• v.14 no.9
• /
• pp.317-323
• /
• 2016

Big Data is now seen as a major asset in the company's competitiveness, its influence in the future is expected to grow. Companies that recognize the importance are already actively engaged with Big Data in product development and marketing, which are increasingly applied across sectors of society, including politics, sports. However, lack of knowledge of the system implementation and high costs are still a big obstacles to the introduction of Big Data and systems. It is an objective in this study to build a Big Data system, which is based on open source Hadoop and Hive among Big Data systems, utilizing POS sales data of small and medium-sized offline markets. This approach of convergence is expected to improve existing sales systems that have been simply focusing on profit and loss analysis. It will also be able to use it as the basis for the decisions of the executive to enable prediction of the consumption patterns of customer preference and demand in advance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.734-736
• /
• 2016

Doors are in various buildings, such as large retail stores, hospitals, restaurants, government offices and is used as a door to provide convenience for customers, the convenience of security to control doors and exterior access Castle, etc. In the case of housing door facilities It has been used widely. However, the conventional automatic door controller Although the primary use of the PID control, the contact size and weight depending on the location to cause an instability in the system controller or the like, and disturbance of parameter variation and uncertain dynamics because of the wide variations. In this paper, we design a robust controller to compensate for uncertainties and to compensate for the disturbance.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.30 no.6C
• /
• pp.505-511
• /
• 2005

Autonomic machines interacting with human should have capability to perceive the states of emotion and attitude through implicit messages for obtaining voluntary cooperation from their clients. Voice is the easiest and most natural way to exchange human messages. The automatic systems capable to understanding the states of emotion and attitude have utilized features based on pitch and energy of uttered sentences. Performance of the existing emotion recognition systems can be further improved withthe support of linguistic knowledge that specific tonal section in a sentence is related with the states of emotion and attitude. In this paper, we attempt to improve recognition rate of emotion by adopting such linguistic knowledge for Korean ending boundary tones into anautomatic system implemented using pitch-related features and multilayer perceptrons. From the results of an experiment over a Korean emotional speech database, the improvement of $4\%$ is confirmed.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.209-217
• /
• 2013

This study focuses on the analysis of purchased items' relationship occurred by consumers' purchasing behavior observed in on-line shopping mall based on social network analysis. In order to find relational characteristics of each item for establishing marketing strategy, we apply three definitions of centrality in network, which are degree centrality, betweenness centrality, and closeness centrality in the purchased items' network. Thus, the research results provide the criteria for selection of market segmentation variables. Furthermore, the details of case has been introduced to validate the analyzed results in terms of marketing strategy, and supporting evidences are provided accordingly.

• 한국벤처창업학회:학술대회논문집
• /
• 2010.08a
• /
• pp.5-18
• /
• 2010

In this article, we try to study the relationship among quality management activities, employee trusts, and employee satisfactions in small venture companies in Korea. Based on the previous studies, we build a couple of hypotheses about communication, process management, business policies, innovative changes, employee trust and employee satisfaction. From our empirical study, we find that communication and innovative changes have an positive effect on employee trust. Also, employee satisfaction is positively influenced by employee trust. Our study provides the following implications for organization management. First, for employee satisfaction, in an organization, it is very important to build employee trusts among higher managements, firms, business processes, evaluations, and employees. Second, in order to build employee trusts, our study shows that improving communications among employees and customers and having continuous innovative changes such as improving current business processes, problem solving, establishing standards and maintaing high productions are important.

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