• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.95-111
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• 2021

Despite the innovation of AI and Big Data, theoretical research bout the effect of AI and Big Data on market competition is still in early stages; therefore, this paper analyzes the effect of AI, Big Data, and data sharing on an entry firm by using game theory. In detail, the firms' business environments are divided into internal and external ones. Then, AI algorithms are divided into algorithms for (1) customer marketing, (2) cost reduction without automation, and (3) cost reduction with automation. Big Data is also divided into external and internal data. this study shows that the sharing of external data does not affect the incumbent firm's algorithms for consumer marketing while lessening the entry firm's entry barrier. Improving the incumbent firm's algorithms for cost reduction (with and without automation) and external data can be an entry barrier for the entry firm. These findings can be helpful (1) to analyze the effect of AI, Big Data, and data sharing on market structure, market competition, and firm behaviors and (2) to design policy for AI and Big Data.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.477-488
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• 2022

The purpose of this study is to examine how factors that select Airbnb service affect service satisfaction and the moderating effect according to marital status. The subjects of this study are customers who who have used Airbnb services in the metropolitan area. The questionnaire survey was conducted with 150 people, and the results were analyzed and hypothesis testing was performed using Structural Equation Model(SEM). As a result of the study, it has been found that price, online review, and Unique Experience Expectation(UEE) among the factors that selected Airbnb have positive effects on service use satisfaction. In addition, marital status has been found to play a mediating role among price, UEE and customer satisfaction. For single customers, price is an important factor influencing service satisfaction, but for married customers, it is not. In this sense, it is important not only to conduct marketing and promotions considering only gender, but also to provide services according to whether they are single or married.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.139-148
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• 2022

The research focuses on the interactional justice of organizational members and supervisors within Chinese organizations. In terms of organizational performance, the focus is on creativity by members, based on the need for innovation today. Furthermore, it verifies the influence of moral leadership on members' innovative behavior and the various effects of trust on members' superiors. This study empirically examined 330 Chinese small practitioners and identified the role of interactional justice in increasing the creative influence of organizational members to date in Chinese small. This study will propose ways to increase the level of creative and reduce the level of procedural justice, and discuss future research directions related to this.

• Management & Information Systems Review
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• v.37 no.3
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• pp.115-130
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• 2018

The purpose of this study is to clarify the relationship between organizational characteristics and information systems characteristics or job satisfaction, attempts to examine the regulatory effects brought about by the adjustment of social capital theory. So far, The results of this study are based on the analysis of individual models from the perspectives of each functional organization such as HR, organization, finance, operation, and MIS. Therefore, this paper attempted a comprehensive analysis of factors affecting job satisfaction and firm performance by presenting an integrated research model of organizational perspectives in addition to the approach of MIS perspective. The characteristics of information system were promptness, CEO support, and compensation. And the organizational characteristics were multiple regression analysis using innovation, trust, and preferential factors. The analysis data is based on sixth data from the HCCP of Korea Productivity Center. According to the analysis results, all the variables had a significant influence on satisfaction, especially CEO support and trust. The analysis of the moderating effect between innovation and job satisfaction was moderated by vision sharing. Only the logistic regression analysis of the satisfaction with the average salary of the members among the demographic variables was statistically significant. Therefore, this study can be concluded that the overall satisfaction level will be improved by recognizing appropriate compensation as sufficient compensation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.157-175
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• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.375-389
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• 2012

Many policy makers believe that geographically clustered business activities, in order to stimulate regional innovation, are the keys to development. Underlying the assumption between cluster and development, mere co-located forms engaged in innovative process helped from knowledge transmission locally. To address the constraints of creative economy, creative milieu require networking to support innovation activities. This paper examines the development of the mini cluster reconsidered in creative milieu that shifted environment development through network activities. It shows that the powerful node get more powerful, weak node get weaker in institutional network. Moreover, the significant of cluster in creative milieu is that brings out synergy to spill over knowledge through inter-relationship based on face-to-face meeting. Creative milieu benefits from and contributes to the competitiveness of the city, they are also embedded in its network activities.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.143-149
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• 2017

The company strives constantly to prepare for the current crisis and uncertainty of the future and to strengthen its competitiveness. At times, it strives to strengthen its competitiveness through continuous innovation, as well as securing technological innovation and talented personnel. However, even if the company makes such a hard effort, the sustainable growth of the enterprise will not be guaranteed unless smooth communication and efforts among the internal resources are supported. The social responsibility of management and the attitude of labor-management relations are important factors for the smooth coordination of labor-management relations. Therefore, this study empirically analyzed the relationship between manager 's social responsibility, labor relations attitude and job performance. The results of this study showed that the social responsibility of managers affects job satisfaction and job commitment. In addition, managers' attitudes toward labor relations have an effect on job satisfaction and job commitment. Also, job satisfaction has a positive effect on job commitment. The result of this study can be used as a practical application data for establishing new labor - management relations among the managers of the enterprise in the future.

• Information Systems Review
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• v.9 no.3
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• pp.1-32
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• 2007

Recently, Korean universities have experienced steady decline in enrollments in MIS majors, which raises a serious concern to both academia and business leaders as well. With roles of MIS in corporate worlds are expanding and demands for newer breeds of MIS graduates ever growing, this trend, also observed in the US, poses a puzzling yet interesting research agenda. To come to grips with the problem and to suggest a robust curricula model for the future, this paper approaches the problem from various angles. The model first examines perceptions on MIS of Korean students; it then delineates existing curricula models to identify core MIS courses. The compilation is then juxtaposed by MIS course information from major US and Korean colleges, leading to categorizing major MIS subfields. The paper then tries to identify as-is and desired status of MIS curriculum, based on inquiry results from both academia and IS practitioners. Together with career tracks concretely described in this paper, the model would serve to fill the perception gaps in and to meet the future goals for MIS education in Korea.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.185-194
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• 2016

Several game developers or publishers adopt open innovation strategies to reduce R&D costs and increase user loyalty about their games. User communities play an important role in increasing users' interests in the game because they can share game information and skills in user communities. In this regard, this study explored key antecedents of game user participation intention in user community. We developed a research model by integrating perceived risk into theory of planned action. The theoretical model was tested by using survey data collected from 110 "Suddenattack" game users. Partial least squares (PLS) was utilized to analysis the research model. The findings of this study indicate that both perceived usefulness and perceived enjoyment play an important role in forming attitude toward community. However, contrast to our expectations, perceived risk has no signifiant effect on perceived usefulness, perceived enjoyment, attitude toward community and participation intention. While attention toward community significantly influences community participation intention, social norms are not significantly related to it. The analysis results help game developers or publishers establish effective strategies and policies to increase user participation intention in user community.