• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.265-278
• /
• 2013

This study is about how does collaboration activities of large company's Supplier Relationship(SR) effect on manufacturing capability and performance of a SMEs. In this research, there are many ways to analyze data. The methods used in the study are hypothesis testing and empirical testing based on SPSS 21.0 and AMOS21.0, factorial analysis for validity and reliability of questionnaire item, construct validity and variance extracted as a research model, and subcontract-tiers as a moderating variable. As a result, the effect of the collaboration activities of large business did not have the significant effect on supplier's manufacturing capability. It showed different result by subcontract-tiers In first-tier cooperative, collaboration activities of large business had significant effect on manufacturing capability, but it did not have the significant effect on performance. In second/third-tier cooperative, manufacturing capability and performance are significantly affected by manufacturing practices. In conclusion, this study will suggest the direction how to achieve an accompanied growth between large enterprises and SMEs.

• Journal of Digital Convergence
• /
• v.9 no.4
• /
• pp.201-211
• /
• 2011

As the spacetime restriction free business becomes possible in compliance with the wide spread of social media through rapid propagation of smart phones and remote working etc., the positive activity for successful smart work implementation by major countries and many enterprises are being deployed. Korea which falled behind other advanced countries for adoption of smartwork needs to make double efforts in the forthcoming smartwork business area to be a continuous leading country as it used to be in the past IT area. Compare with traditional smartwork 1.0, future smartwork 2.0 is more creative, innovative and human/nature friendly. Smartwork 2.0 is the way of working to maximize the creativity by involving outside cooperators' capability and conforming to human sensitivity and emotion. This study suggests the management models proper to the future smartwork environment. This study will review the existing enterprises, government operation and rethink about the efficient management models in the rapidly changing smart work environment.

• Journal of Digital Convergence
• /
• v.17 no.12
• /
• pp.77-82
• /
• 2019

In this paper, we propose a new industry - university collaboration plan through the analysis of the present state of industry-academia cooperation and government support projects, and analysis of major overseas cases. The following is the plan for activating the new crop cooperation. First, it is necessary to strengthen the innovation of education system and establishment of new education course based on future demand through future-oriented industry-university cooperation. Second, active industry-academia cooperation should stimulate entrepreneurship education and entrepreneurship based on university resources. Third, it should act as an anchor of regional innovation by actively cooperating with local innovation entities. It is necessary to develop an industry-university cooperation model that can generate profits and contribute to university finance.

• Journal of Digital Convergence
• /
• v.18 no.7
• /
• pp.177-188
• /
• 2020

In the digital world, creative industries such as music, movies, and drama have been the most impacted by digital transformation. As these contents were converted to a digital format of 0s and 1s, the business model changed and so did the rules of competition in the market. Apple, Spotify, and Netflix were quick to ride the digital transformation wave to become market leaders in the creative industry. This study reviews case studies in the creative industry to grasp the important factors necessary for market restructuring using digital technology. It was found that companies that set visions, platform, and open innovation as business strategies were able to achieve critical mass and become market leaders. These three elements are commonly found in the contents industry. On the other hand, companies that did not embrace digital innovation have become victims of digital darwinism. By analysing the experience of digital product innovation through case studies in the creative industry, we can derive implications for digital transformation in the 4th industrial revolution.

• Knowledge Management Research
• /
• v.22 no.3
• /
• pp.17-29
• /
• 2021

The purpose of this study is to analyze investment performance by applying dynamic methodologies that reflect market expectations rather than traditional static methodologies in applying the glide path of target date fund. In calculating market expectations, the number of distributed shares in the ETF market was used, and the dynamic glide path model portfolio considering market expectations in the analysis period from late 2011 to October 2020 could show better results than the existing static glide path. According to the analysis, increasing the portion of risky assets at a time when the number of shares in the ETF's distribution increases, and in the opposite case, reducing the portion of risky assets is advantageous for profit. The results of this study are expected to provide useful theoretical and practical implications for researchers and asset management workers who are interested in knowledge management from a broad perspective beyond the boundary of pension asset management to the public fund market and ETF market.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.291-298
• /
• 2019

This study discusses the core contents and implications of the design support policy of government in the creation of the designer-makers' business ecosystem through the analysis of 'Young man's Creative Work & Startup Support Project'. This case, which aims to cultivate a design brand based on maker technology and to create jobs for young people, suggests the role of government as a creative culture creator so that designer-makers are able to create creative activities in a more free and creative atmosphere. Furthermore, this study emphasizes the importance of efficient integration and reorganization of similar maker support policies implemented by each government department, the necessity of a roadmap for realizing this, and the support for quality improvement. As a result, the design support policy of government for the designer-makers' business activation should evolve into the qualitative development of intellectual property based on a mature shared culture and the discovery of a new production paradigm model of the manufacturing industry based on the open manufacturers beyond the economic and numerical goals of creating new jobs.

• Journal of Digital Convergence
• /
• v.20 no.3
• /
• pp.117-129
• /
• 2022

In the perspective of value-based adoption mode, this study empirically examined the factors that affect the intention of users of Fintech payment services to stop using them. A survey of college students who are familiar with digital devices, have no objection to payment and settlement services, and have high service access. A total of 148 questionnaires were analyzed using SPSS and SmartPLS. The study results show that perceived benefits, complexity, and security concerns are significant factors influencing the discontinue intention of Fintech payment services. Among them, the perceived benefit showed the most significant influence. Based on the results of this study, Fintech providers will be able to build a service environment to provide continuous benefits for maintaining long-term relationships with users, improve systems to secure various uses, and reduce users' negative perceptions of security. Recently, the use of services by the elderly has increased, so it is necessary to expand the scope of this study to target various age groups in future research.

• Journal of Industrial Convergence
• /
• v.21 no.10
• /
• pp.21-28
• /
• 2023

As the need for the use of big data increases, various analysis activities using big data, including SNS data, are being carried out in individuals, companies, and countries. However, existing research on predicting technology market trends has been mainly conducted using expert-dependent or patent or literature research-based data, and objective technology prediction using big data is needed. Therefore, this study aims to present a model for predicting future technologies through decision tree analysis, visualization analysis, and percentage analysis with data from social network services (SNS). As a result of the study, percentage analysis was better able to predict positive techniques compared to other analysis results, and visualization analysis was better able to predict negative techniques compared to other analysis results. The decision tree analysis was also able to make meaningful predictions.

• The Journal of Economics, Marketing and Management
• /
• v.11 no.5
• /
• pp.69-80
• /
• 2023

Purpose: The purpose of this study is to identify factors that affect decision-making for e-commerce users and to present ecommerce companies with the company's strategic directions for consumer purchases. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between brand image, product liking, heuristic and purchase intention and the difference according to psychological power. For analysis a total of 212 valid questionnaires from e-commerce users were used. confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both brand image and product liking had a significant effect on purchase intention as well as heuristics. However, heuristics did not affect the purchase intention. It was found that the relationship between brand image, product liking, heuristic, and purchase intention differed depending on the psychological power. Conclusions: Companies should seek ways to increase the positive brand image and likability of products so that consumers can quickly purchase products. In the relationship between brand image and heuristic, the low-psychological group has more influence on heuristic, and in case of product liking, the high-psychological group has more influence on heuristic. In the relationship between brand image and product liking for purchase intention, both in the high psychological power group affect more influence on purchase intention. Since the process of purchasing products varies depending on the consumer psychological power tendency, it is necessary to identify the characteristics of consumers and establish strategies for purchasing promotion measures.

• Journal of Digital Convergence
• /
• v.12 no.11
• /
• pp.597-606
• /
• 2014

This study aims to investigate the relationship of physical wellness, intellectual wellness, emotional wellness, subjective happiness and quality of life of employees. The proposed model analyzed 535 employees using Smart Partial Least Square (PLS) 2.0. The results of the experiment are as follows: First, physical, intellectual, and emotional wellness positively influenced subjective happiness. Second, subjective happiness positively influence life satisfaction. The results show improve the lives of the employee's quality of life and wellness, happiness. We study life quality, wellness, and happiness on subjective aspects in the workers. Therefore, analyzed result can be a basic research for the lives of the employees' quality.