• Smart Media Journal
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• v.5 no.4
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• pp.111-115
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• 2016

Intelligent robots are being introduced and utilized to create new values in diverse fields such as medical care, national defense, education, and manufacturing. However, while the technical aspects of intelligent robots are spreading, the business side is lacking in recognition. The purpose of this study is to identify the factors affecting product innovation through the introduction of intelligent robots in enterprises. Among the six variables secured from the technology, organization, and environment framework, only perceived direct usefulness and competitive pressure have significant effects on product innovation. The results imply that the effects of introducing robots are still in their early stage from a business perspective.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.121-128
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• 2016

Social Media transformed the mass media based information traffic, and it has become a key resource for finding value in enterprises and public institutions. Particularly, in regards to disaster management, the necessity for public participation policy development through the use of social media is emphasized. National Disaster Management Research Institute developed the Social Big Board, which is a system that monitors social Big Data in real time for purposes of implementing social media disaster management. Social Big Board collects a daily average of 36 million tweets in Korean in real time and automatically filters disaster safety related tweets. The filtered tweets are then automatically categorized into 71 disaster safety types. This real time tweet monitoring system provides various information and insights based on the tweets, such as disaster issues, tweet frequency by region, original tweets, etc. The purpose of using this system is to take advantage of the potential benefits of social media in relations to disaster management. It is a first step towards disaster management that communicates with the people that allows us to hear the voice of the people concerning disaster issues and also understand their emotions at the same time. In this paper, Korean language text mining based Social Big Board will be briefly introduced, and disaster issue detection model, which is key algorithms, will be described. Disaster issues are divided into two categories: potential issues, which refers to abnormal signs prior to disaster events, and occurrence issues, which is a notification of disaster events. The detection models of these two categories are defined and the performance of the models are compared and evaluated.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.321-336
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• 2005

The objective of this paper is to verify, based on the Jaworski & Kohli's previous study (1993) , relationships among top management factor, interdepartmental cooperation, intra-organizational Properties , marketing capability, environmental factor, and export Performance as factors for enhancement of export marketing as pursued by Korean media production enterprises which target overseas market centered on the 'Feel Korea' trend which is recently gaining popularity in Asian economies. This study based its theoretical framework on previous studies on market orientation. For day analysis, this study surveyed a total of 306 employees in 36 media & contents enterprises including KBS, MBC, SBS. etc. Of them, 106 subjects who were primarily engaged in marketing were utilized for final analysis. Based on the previous studies for each variables, a theoretical study model was developed. As a result, the study result was found to be consistent with the previous ones on market orientation by Jaworski & Kohli (1993).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.567-582
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• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.629-631
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• 2013

In many enterprises, fraudulent activities and processes are widely prevalent. But, their employees would not report the illegal activities since they would be attacked by defensive and reactive retaliations in their enterprises. Against this backdrop, we design notification systems for whistle blowing. The design would certainly be useful for fraudulent process notification while using management information systems in the field of business. The fraudulent process notification is related to whistle blowing systems, methods, storage media, and so on. Also, we establish the whole architecture of fraudulent process notification with functional structure from the viewpoint of systems and whistle blower. The flow diagram of notification method is added.

• Korean journal of food and cookery science
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• v.32 no.1
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• pp.65-75
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• 2016

The purpose of this study was to investigate the consumer's current use and recognition for foodservice social enterprises type cafe. During the research, problems regarding the developmental directions of foodservice social enterprises type cafe. A one-to-one survey method was used for data collection, and 301questionnaires among the 309 distributed questionnaires to consumers were analyzed (97.4% response rate). The main results of the study were as follows : with reference to the awareness of the foodservice social enterprise type cafe, a majority of respondents (81.1%) replied that they had knowledge related to the business of social enterprise. Furthermore, regarding how customers came to know about the foodservice social enterprise type cafe results showed that 28.2% of respondents knew about the cafe by acquaintances such as friend, co-worker, family, 23.2% by mass media, and 27.2% by others. Data concerning a companion when visiting the cafe, revealed that more than half of the respondents (80.0%) had visited with friend and co-worker. On problems with using the cafe, approximately 46.2% of the respondents replied that there was lack of public relation and 28.9% replied that it was an uncommon store. Since the findings suggested that the major problem is a lack of promotion, foodservice social enterprises type cafe should prepare organized brochures and guide system to attract customers with various purposes and values. Finally, the promotion for foodservice social enterprise type cafe requires a guidance map.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.103-111
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• 2013

At present, a variety of Korean news stories have been about important online content and its importance in the press is becoming higher. Diverse news from businesses are provided to the public as press releases through newspapers or broadcasting media. For such news to become information for a press release, enterprises visit reporters, use e-mails, faxes, or couriers to deliver the information. However, such methods have problems with time, human resources, expenses, and file damage. Also, with these methods it is bothersome for enterprises to check what has been released and for the press to make frequent contact with enterprises for interviews and for content to be released. Therefore, this study aimed to realize a distribution system which enterprises can use to distribute data to be released to the press and to easily check what is to be released while the press can ask for interview requests in a simple way, as well as a news gathering robot that can collects news on the enterprises involved from articles online or in portal sites.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.105-117
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• 2020

The "New Korean Wave" (Shin Hallyu) phenomenon, which is represented by the global popularity of BTS and director Bong Joon-ho's film "Parasite," is making the world excited. The influence of the Korean Wave is not only on politics, society, and culture, but it also has considerable economic ripple effects. We applied individual in-depth interviews with seven media and marketing experts in China to assess the changes in the impact of Korean cultural content (i.e., Hallyu content) and examine the possibility of marketing for Korean small and medium-sized enterprises (SMEs) products using Hallyu content. Considering its massive market potential, China is still an attractive target for Korean companies and is of even greater importance to SMEs, which are highly dependent on exports and lacking marketing budgets as well as a professional workforce. Korean businesses and the economy at large would get a real boost if they could penetrate the Chinese market by utilizing the strength of Hallyu content. Based on the results of the in-depth interviews, the conclusion of our study suggests the direction of advertising strategy on how Korean products can attract the minds of Chinese consumers by utilizing the Shin Hallyu. This research is a practical study that diagnoses the reality of the Korean Wave in China objectively and has excellent practical implications as it proposes methods of how SMEs should use Hallyu for their marketing strategies.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.152-161
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• 2023

Modern people live a life connected with the real world and the virtual world by relying on the new media of enterprises and social consumption led by innovative technologies. In this environment, virtual influencers actively communicate with consumers and build relationships through social media, which is a new marketing tool that has attracted widespread attention. From a business perspective, it is necessary to have a solid understanding of this phenomenon, and then explore communication strategies to effectively develop virtual influencers. To investigate followers' preference for virtual influencers, this study employs the Q-method, which studies human subjective attributes, an empirical research effort to uncover complex issues in human subjectivity. To determine the factors that trigger people's voluntary and active practice and the preference degree of virtual influencers, the Q method is implemented to examine human subjectivity, thoughts and attitudes. According to the results of this study, virtual influencers are a new group of idols full of vitality. The interviews found that there are still many virtual influencers who do not know about followers, but each type can be clearly understood through the intuitive understanding of the interviewees. Divided out, type 1 one egoideal virtual influencers aim to represent an idealized version of the creator or target audience. Embodies ideal physical characteristics, personality or lifestyle desired by the audience. Type 2 is charismatic and attractive, and has the characteristics of most virtual influencers. It is suggested that it can be developed into a potential type, doing brand cooperation, and content production on social media platforms. Type 3: Game animation, derived from the image of characters in games or comics, with stylized features and energetic personalities, which can be integrated into games or entertainment experiences. Type 4 development potential type is the most successful type among virtual imagers, and it is also the purpose of marketing virtual influencers. It is essential that brand endorsement on social media platforms, integrated marketing, and driving advertising traffic. It is recommended to improve production technology to reduce investment costs.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.175-185
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• 2023

As the era of ChatGPT and generative AI technologies unfolds, the marketing industry stands on the precipice of a paradigm shift. Innovations such as GPT-4, DALL-E 2, and Mid-journey Stable Diffusion possess the capacity to dramatically transform the methods by which advertisers reach and engage with customers. The potential applications of these advanced tools herald a new age for the marketing and advertising sectors, offering unprecedented opportunities for growth and optimization. Nevertheless, the rapid adoption of generative AI within these industries presents a unique set of challenges, particularly for organizations that lack the necessary technological infrastructure and human capital to effectively leverage these innovations. As a result, a competitive crisis may emerge, exacerbating existing disparities between well-equipped enterprises and their less technologically adept counterparts. In this article, we undertake a comprehensive exploration of the implications of generative AI for the future of marketing, examining both its potential benefits and drawbacks. We consider the possible impact of these developments on the advertising and marketing industries at large, as well as the ways in which professionals operating within these fields may need to adapt to remain competitive in an increasingly AI-driven landscape. By providing a holistic overview of the challenges and opportunities associated with generative AI, this study aims to elucidate the complex dynamics at play in the ongoing evolution of the marketing and advertising sectors.