• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.45-53
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• 2012

This study is about the impact of a technology-based start-ups' patent-related activities on early stage company performance. Technology-based start-ups are closely related to the intellectual property rights, particularly patents that they aim the pursuit of new products or production methods and pioneer the introduction of market based on innovative technology, and that is a key role in such companies established and operating, hence the research of patent-related activities in technology-based start-ups has important implications. In most previous studies, the impact of the company's patent related activities on the performance of corporate management is determined by using quantitative patent indicators. Therefore, through this study, causal relationships leading to business performance through the development of new products, which includes technology performance and product performance, and the patent-related activities including the company's patented technology support activities, creating the right activities, infringement response activities, base activities validated as follows. First, the patent-related activities have a positive impact on technological and products achievements. In other words, the various activities involved in the acquisition and utilization of the patent have a positive impact on the performance of company's new product development, particularly developing new technologies or patent acquisition rate. Second, the technology have a positive impact on the performance of the products, not on the business performance. However, the empirical results shows that it has indirectly impacts on business performance through the product performance. Third, product performance have a positive impact on business performance. In conclusion, patent-related activities affects the performance of the company's management, and the maintenance of the company's business performance depends on the developing and selling product based on the customers needs, besides the technology performance such as the patents and the development of technology.

• The Korean Journal of Air & Space Law and Policy
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• v.4
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• pp.167-176
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• 1992

1957년에 서명된 로마조약(條約)을 처음 개정한 단일(單一)유럽법(法)이 1987년 7월 1일에 발효(發效)되었을 때 유럽공동체(共同體) 12개 회원국(會員國)들은 공동정책(共同政策)에 의거 상업(商業), 농업(農業), 운송(運送), 금융(金融) 및 기타 관련부분에 있어 단일역내시장(單一域內市場)을 형성하기로 약속했다. 물론 완전한 역내공동시장(域內共同市場)은 자유로운 운송시장(運送市場)을 전제로 한다. 따라서 EC조약(條約)은 모든 회원국(會員國)들이 서어비스의 자유에 근거하여 공동운송정책(共同運送政策)을 따를 것을 강제하고 있다. 항공운송(航空運送)에 있어서의 목표도 역시 다른 모든 경제활동의 목표와 마찬가지로 로마조약(條約)이 적용되는 공동운송정책(共同運送政策)의 일부를 구성하고 있다. 종합적인 공동체항공정책(共同體航空政策)의 작업에는 운임(運賃), 공급량(供給量), 시장진출(市場進出) 및 경쟁상(競爭上)의 일괄적인 자유화 조치 이상의 것을 내포하고 있다. 그것은 국가장벽으로 방해되지 않는 공동체(共同體)의 항공운송망(航空運送網)의 개발과 확장뿐만 아니라 경제(經濟), 안전(安全), 환경(環境) 및 사회적(社會的) 요인(要因)들 간에 합리적인 균형을 이루는 공동체항공운송정책(共同體航空運送政策)의 개발을 위한 공동항공운송정책(共同航空運送政策)의 공식화(公式化)를 요한다. 1987년의 항공(航空)에 관한 일괄입법조치, 1989년의 제 2 차 항공(航空)에 관한 일괄입법조치 및 1992년 이후로 예정된 제 3 차 일괄입법조치에 따라 EC는 초국가적(超國家的)인 항공운송(航空運送) 분야에 있어서의 개방적인 국제경쟁(國際競爭)을 본격적으로 추구하고 있다. 결국 이러한 일괄규칙은 EC와 제(第) 3 국(國)들간의 관계에 중대한 의미를 가지게 될 것이다. EC항공운송정책(航空運送政策)이 아시아 항공산업(航空産業)의 상업운선(商業運船)에 어떠한 영향을 미칠 것인가는 모든 아시아 국가들이 알아야 할 중요한 문제이다. 이론적으로 말해서, 역내공동체(域內共同體) 항공운송(航空運送)의 자유화는 아시아 국가들에 대한 치외법권적(治外法權的) 효과를 일으킬 수 있는 로마조약(條約)과 유럽사법재판소(司法裁判所)에 의해 형성된 원칙들에 필연적으로 영향을 미칠 것이다. 이와 관련하여 아시아 항공산업(航空産業)은 무차별원칙(無差別原則), 설립(設立)의 자유(自由), 서어비스의 자유(自由) 및 EEC 경쟁법(競爭法)과 같은 제(第) 3 국(國)의 국제항공운송에 영향을 미치는 일련의 새로운 원칙과 법률의 출현에 큰 관심을 갖고 있다. 실무적인 관점에서, 1992년 이후의 종합적인 공동체항공운송정책(共同體航空運送政策)의 작업에는 항공운화(航空運貨), 시장진출(市場進出), 제(第)3 및 제(第)4의 운륜자유권(運輪自由權), 복수지정(複數指定), 제(第)5의 자유(自由), 캐보타지(cabotage), 손상(損傷)(derogation), 공급량(供給量), 편수(便數), 불정기운항(不定期運航) 및 기타 부문항공기소음(部門航空機騷音), 최저(最低) 안전(安全) 및 사회적(社會的) 조치(措置), 항공종사자면허(航空從事者免許), 감항증명(堪航證明), 운항시간제도(運航時間制度), 컴퓨터 예약제도(豫約制度), 탑승거절보상의 공동최저기준(共同最低基準), 공중혼잡(空中混雜), 공항이착륙시간할당법(空港離着陸時間割當法), 공항시설(空港施設), 정부지원(政府支援 등). 이와 같은 모든 공동체항공운송정책(共同體航空運送政策)의 주요문제들은 아시아 항공산업(航空産業)에 여러 각도로 영향을 미치게 될 것이다. 위와 같은 문제들 가운데, 제(第) 3국(國) 항공사(航空社)들의 역내공동체(域內共同體) 항로(航路)의 접근, 공급량(供給量), 운임(運賃), 제(第)5의 자유(自由) 및 캐보타지가 아시아 항공산업(航空産業)에 관심이 큰 문제가 되고 있다. 아시아 항공사(航空社)들의 EEC시장(市場)에로의 상업운항(商業運航)이 다소 영향을 받게 될 것이다. 첫째, 복수(複數) 목적지(目的地) 문제이다. 둘째, 항공(航空)서어비스의 운임(運賃) 및 료솔(料率)문제이다. 셋째, 항공운송구역(航空運送區域)에서의 사업에 대한 경쟁원칙의 적용 문제이다. 넷째, 제(第)5 자유(自由) 운륜권(運輪權) 문제이다. 다섯째, 캐보타지(cabotage)문제이다. 끝으로, 유럽 항공사(航空社)들간의 합병(合倂)의 문제이다. 결론적으로 유럽공동체항공운송(共同體航空運送)의 자유화는 1993년까지 공동체(共同體) 역내(域內)와 역외(域外)의 항공운송법제(航空運送法制)의 현재의 모습을 극적으로 바꾸어 놓을 정도로 가속화(加速化)되고 있다. 한편 항공운송(航空運送)의 자유화(自由化)에 대한 EC의 제의는 대담하고 급진적이다. 반면에 그것이 아시아 항공산업(航空産業)에 미칠 영향 또한 중대하다. 의심할 여지없이 항공사(航空社)와 고객들의 이익면에서 EEC와 비(非)EEC국가들의 항공운송산업(航空運送産業)에서 더욱 경제적으로 경쟁적이 되도록 할 필요가 있다. 전세계 항공운송산업(航空運送産業) 운영(運營)의 대부분을 정부가 소유하거나 통제하는 것은 정말로 국제항공운송(國際航空運送)의 발전에 불필요한 장애를 일으킨다. 따라서 國內航空社와 전세계 항공사(航空社)들간의 이해관계의 조화를 협상하는 것이 중요하다. 아마도 아시아 항공사(航空社)들간의 지역적 협조가 미국(美國)뿐만 아니라 유럽으로 부터의 압력 증가에 대해 균형을 이루는 힘이 될 수 있을 것이다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.77-90
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• 2023

This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.87-100
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• 2022

Early start-up companies have an inherent limitation of lack of resources. Despite these limitations, in order to survive, the entrepreneur's personal ability to efficiently use limited resources is required. In the marketing field, various studies are needed to reduce the business failure rate through establishing growth strategies and innovation. Accordingly, it is necessary to apply the concept of entrepreneurial marketing, which has been researched and developed overseas for 30 years, to fit the domestic reality. According to the flow of this study, an empirical study should be preceded to clarify the influence relationship between entrepreneurial marketing orientation, marketing competency, and management performance, along with a theoretical theorem on entrepreneurial marketing that is suitable for early start-ups and small and medium-sized enterprises(SMEs) and can respond innovatively to changes. The establishment of entrepreneurial marketing orientation and the processes from which this concept leads to business performance through the organization's marketing capabilities and its effects will be empirically verified. For an empirical survey, a survey was conducted on founders of 220 companies, and path analysis using structural equations was used for hypothesis verification. The findings are as follows. First, it was found that the entrepreneurial marketing orientation had a positive effect on both the organization's marketing capabilities and management performance. Second, it was found that the organization's marketing capabilities also had a positive effect on management performance. Third, as a result of empirical analysis of the mediating effect of the organization's marketing capabilities on the relationship between entrepreneurial marketing orientation and management performance, it was found that marketing capabilities showed a greater mediating effect on non-financial performance than financial performance. On the other hand, it was confirmed that marketing performance had a stronger mediating effect on financial performance than non-financial performance. By confirming and presenting the concept and constituent factors of entrepreneurial marketing orientation of domestic start-ups, which were academic gaps for the purpose of this paper, the academic research is differentiated in that they were verified as six components of entrepreneurial marketing. The practical implications of the research results will be that the entrepreneurial marketing-oriented mindset of small and medium-sized companies will optimize market analysis capabilities, network with various stakeholders, and increase the organization's ability to demonstrate marketing capabilities.

• Industry Promotion Research
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• v.9 no.3
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• pp.57-75
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• 2024

This study examined how ESG activities of convenience stores, affect consumers' store loyalty. Using 300 valid samples of convenience store users collected through an online specialized agency (Company M), this study empirically analyzed the effects of environmental (E), social (S), and governance (G) activities among ESG on trust and store loyalty, and the mediating effects of trust and the moderating effects of eco-friendly values, social media activity, and consumer-company identification. The results of the analysis showed that, first, governance activities had a positive effect on trust, and environmental activities and trust had a positive effect on store loyalty, but social activities had no effect Second, trust had a moderating effect only on the relationship between governance activities and store loyalty, and third, in the relationship between ESG activities and trust, eco-friendly values and social media activity had moderating effects on environmental, social, and governance activities, and consumer-company identification had moderating effects on environmental and governance activities, but not on social activities. Therefore, convenience store brands should further strengthen their environmental and social activities to build consumer trust, especially environmental activities, which only directly affect store loyalty, so they should be more cautious and proactive. In addition, intensive marketing activities are needed to build trust among consumers who have high eco-friendly values, social media activity, and consumer-company identification. Therefore, this study confirms the critical view of consumers despite the social contribution activities of convenience store brands, and suggests that in order to improve them, it is necessary to strengthen social activity efforts, actively participate in ESG activities of on-site franchisees who are customer contact points, and educate employees.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.19-43
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• 2014

The Pareto principle, also known as the 80-20 rule, states that roughly 80% of the effects come from 20% of the causes for many events including natural phenomena. It has been recognized as a golden rule in business with a wide application of such discovery like 20 percent of customers resulting in 80 percent of total sales. On the other hand, the Long Tail theory, pointing out that "the trivial many" produces more value than "the vital few," has gained popularity in recent times with a tremendous reduction of distribution and inventory costs through the development of ICT(Information and Communication Technology). This study started with a view to illuminating how these two primary business paradigms-Pareto principle and Long Tail theory-relates to the success of virtual knowledge collaboration. The importance of virtual knowledge collaboration is soaring in this era of globalization and virtualization transcending geographical and temporal constraints. Many previous studies on knowledge sharing have focused on the factors to affect knowledge sharing, seeking to boost individual knowledge sharing and resolve the social dilemma caused from the fact that rational individuals are likely to rather consume than contribute knowledge. Knowledge collaboration can be defined as the creation of knowledge by not only sharing knowledge, but also by transforming and integrating such knowledge. In this perspective of knowledge collaboration, the relative distribution of knowledge sharing among participants can count as much as the absolute amounts of individual knowledge sharing. In particular, whether the more contribution of the upper 20 percent of participants in knowledge sharing will enhance the efficiency of overall knowledge collaboration is an issue of interest. This study deals with the effect of this sort of knowledge sharing distribution on the efficiency of knowledge collaboration and is extended to reflect the work characteristics. All analyses were conducted based on actual data instead of self-reported questionnaire surveys. More specifically, we analyzed the collaborative behaviors of editors of 2,978 English Wikipedia featured articles, which are the best quality grade of articles in English Wikipedia. We adopted Pareto ratio, the ratio of the number of knowledge contribution of the upper 20 percent of participants to the total number of knowledge contribution made by the total participants of an article group, to examine the effect of Pareto principle. In addition, Gini coefficient, which represents the inequality of income among a group of people, was applied to reveal the effect of inequality of knowledge contribution. Hypotheses were set up based on the assumption that the higher ratio of knowledge contribution by more highly motivated participants will lead to the higher collaboration efficiency, but if the ratio gets too high, the collaboration efficiency will be exacerbated because overall informational diversity is threatened and knowledge contribution of less motivated participants is intimidated. Cox regression models were formulated for each of the focal variables-Pareto ratio and Gini coefficient-with seven control variables such as the number of editors involved in an article, the average time length between successive edits of an article, the number of sections a featured article has, etc. The dependent variable of the Cox models is the time spent from article initiation to promotion to the featured article level, indicating the efficiency of knowledge collaboration. To examine whether the effects of the focal variables vary depending on the characteristics of a group task, we classified 2,978 featured articles into two categories: Academic and Non-academic. Academic articles refer to at least one paper published at an SCI, SSCI, A&HCI, or SCIE journal. We assumed that academic articles are more complex, entail more information processing and problem solving, and thus require more skill variety and expertise. The analysis results indicate the followings; First, Pareto ratio and inequality of knowledge sharing relates in a curvilinear fashion to the collaboration efficiency in an online community, promoting it to an optimal point and undermining it thereafter. Second, the curvilinear effect of Pareto ratio and inequality of knowledge sharing on the collaboration efficiency is more sensitive with a more academic task in an online community.

• Asia Marketing Journal
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• v.14 no.1
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• pp.131-157
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• 2012

Despite the voluminous research on switching barriers, the notion that they can generate negative responses has not been investigated. Further, a critical question is what determines the strength of such negative responses. To address this question, the classic theory of psychological reactance is briefly reviewed, and the idea of switching barrier is advanced. This study attempts to suggest a model on the negative effects of switching- frustrated situation, based on the studies on psychological reactance. According to psychological reactance theory(Brehm 1966), whenever a freedom is threatened or removed, individuals are motivated, at least temporarily, to restore their freedom. For example, if individuals think they are free to engage in behaviors .v, y, or z, then threatening their freedom to engage in x would cause psychological reactance. This reactance could be reduced by an increase in the perceived attractiveness of engaging in, the threatened behavior(Kivetz 2005). This investigation seeks to extend existing switching barrier research in three important ways. First, while the past research has emphasized only positive role of switching barrier, this study address negative role of it by applying psychological reactance theory. Second, to find negative results of switching barrier, I suggest negative psychological response including regret to the past choice, resentment to the present provider, and strong desire to the alternative provider. Third, I suggest the perceived severity of the switching barriers, the attractiveness of the alternative as switching-frustrated situation which can lead to negative results. And, in addition to these relationships, I added moderated effects of perceived justice for better explanation. So this study includes the following hypotheses. H1-1 ~ H1-3: The attractiveness of the alternative has a positive effect regret to the past choice (h1-1), resentment to the present provider (h1-2), and strong desire to the alternative provider (h1-3). H2-1 ~ H2-3 : The perceived severity of the switching barrier has a positive effect regret to the past choice (h2-1), resentment to the present provider (h2-2), and strong desire to the alternative provider (h2-3). H3-1 ~ H3-3 : The positive relationships between the attractiveness of the alternative and consumer' negative responses will be stronger at low level of perceived justice than at high level of perceived justice. H4-1 ~ H4-3 : The positive relationships between the perceived severity of the switching barrier and consumer' negative responses will be stronger at low level of perceived justice than at high level of perceived justice. Survey research is employed to test hypotheses involving perceived severity of the switching barrier(Hess 2008), attractiveness of the alternative(Anderson and Narus 1990; Ohanian 1990),regret(Glovich and Medvec 1995), resentment, strong desire(Alcohol Urge Questionaire: Bohn et al. 1995), perceived justice(Bies and Moag 1986; Clemmer 1993; Lind and Tyler 1998). Previous researches, such as reactance theory, emotion and service failure, have been referenced to measure constructs. All items were measured on a 7-point Likert scale ranging from "strongly disagree" to "strongly agree". We collected data involving various service field, and used 249 respondents to analyze these data using the moderated regression. The results of our analysis suggest, as expected, that the perceived severity of the switching barrier had positive effects on regret to the past choice(b = .197, p< .01), resentment to the present provider(b = .214, p< .01), and strong desire to the alternative provider(b = .254, p< .001). And the attractiveness of the alternative had positive effects on regret to the past choice(b = .353, p<.001), resentment to the present provider(b = .174, p< .01), and strong desire to the alternative provider(b = .265, p< .001). However, our findings indicate perceived justice partly moderates relationship between switching-frustrated situation and psychological negative response. The study has brought to light a number of insights between switching barriers and consumer' negative responses that have been subject to little prior research. In particular, this study adds to the existing understanding of the psychological responses to switching barriers in switching- frustrated situation. This research therefore has significance to marketers for strategic marketing programs, particularly in terms of customer retention and switching barrier strategies. Since consumers could exhibit negative responses to switching barrier, companies would be able to lose their customer when they thoughtlessly use switching barrier for remaining customer. Although the study has these contributions, there are several limitations including unsupported hypotheses and research method. So, we need to make up for these limitations in the future researches.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.45-67
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• 2017

According to the Internet Usage Research performed in 2016, the number of internet users and the internet usage have been increasing. Smartphone, compared to the computer, is taking a more dominant role as an internet access device. As the number of smart devices have been increasing, some views that the demand on high-speed internet will decrease; however, Despite the increase in smart devices, the high-speed Internet market is expected to slightly increase for a while due to the speedup of Giga Internet and the growth of the IoT market. As the broadband Internet market saturates, telecom operators are over-competing to win new customers, but if they know the cause of customer exit, it is expected to reduce marketing costs by more effective marketing. In this study, we analyzed the relationship between the cancellation rates of telecommunication products and the factors affecting them by combining the data of 3 cities, Anyang, Gunpo, and Uiwang owned by a telecommunication company with the regional data from KOSIS(Korean Statistical Information Service). Especially, we focused on the assumption that the neighboring areas affect the distribution of the cancellation rates by coupling type, so we conducted spatial cluster analysis on the 3 types of cancellation rates of each region using the spatial analysis tool, SatScan, and analyzed the various relationships between the cancellation rates and the regional data. In the analysis phase, we first summarized the characteristics of the clusters derived by combining spatial information and the cancellation data. Next, based on the results of the cluster analysis, Variance analysis, Correlation analysis, and regression analysis were used to analyze the relationship between the cancellation rates data and regional data. Based on the results of analysis, we proposed appropriate marketing methods according to the region. Unlike previous studies on regional characteristics analysis, In this study has academic differentiation in that it performs clustering based on spatial information so that the regions with similar cancellation types on adjacent regions. In addition, there have been few studies considering the regional characteristics in the previous study on the determinants of subscription to high-speed Internet services, In this study, we tried to analyze the relationship between the clusters and the regional characteristics data, assuming that there are different factors depending on the region. In this study, we tried to get more efficient marketing method considering the characteristics of each region in the new subscription and customer management in high-speed internet. As a result of analysis of variance, it was confirmed that there were significant differences in regional characteristics among the clusters, Correlation analysis shows that there is a stronger correlation the clusters than all region. and Regression analysis was used to analyze the relationship between the cancellation rate and the regional characteristics. As a result, we found that there is a difference in the cancellation rate depending on the regional characteristics, and it is possible to target differentiated marketing each region. As the biggest limitation of this study and it was difficult to obtain enough data to carry out the analyze. In particular, it is difficult to find the variables that represent the regional characteristics in the Dong unit. In other words, most of the data was disclosed to the city rather than the Dong unit, so it was limited to analyze it in detail. The data such as income, card usage information and telecommunications company policies or characteristics that could affect its cause are not available at that time. The most urgent part for a more sophisticated analysis is to obtain the Dong unit data for the regional characteristics. Direction of the next studies be target marketing based on the results. It is also meaningful to analyze the effect of marketing by comparing and analyzing the difference of results before and after target marketing. It is also effective to use clusters based on new subscription data as well as cancellation data.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.93-111
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• 2013

As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.191-207
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• 2021

Up to this day, mobile communications have evolved rapidly over the decades, mainly focusing on speed-up to meet the growing data demands of 2G to 5G. And with the start of the 5G era, efforts are being made to provide such various services to customers, as IoT, V2X, robots, artificial intelligence, augmented virtual reality, and smart cities, which are expected to change the environment of our lives and industries as a whole. In a bid to provide those services, on top of high speed data, reduced latency and reliability are critical for real-time services. Thus, 5G has paved the way for service delivery through maximum speed of 20Gbps, a delay of 1ms, and a connecting device of 106/㎢ In particular, in intelligent traffic control systems and services using various vehicle-based Vehicle to X (V2X), such as traffic control, in addition to high-speed data speed, reduction of delay and reliability for real-time services are very important. 5G communication uses high frequencies of 3.5Ghz and 28Ghz. These high-frequency waves can go with high-speed thanks to their straightness while their short wavelength and small diffraction angle limit their reach to distance and prevent them from penetrating walls, causing restrictions on their use indoors. Therefore, under existing networks it's difficult to overcome these constraints. The underlying centralized SDN also has a limited capability in offering delay-sensitive services because communication with many nodes creates overload in its processing. Basically, SDN, which means a structure that separates signals from the control plane from packets in the data plane, requires control of the delay-related tree structure available in the event of an emergency during autonomous driving. In these scenarios, the network architecture that handles in-vehicle information is a major variable of delay. Since SDNs in general centralized structures are difficult to meet the desired delay level, studies on the optimal size of SDNs for information processing should be conducted. Thus, SDNs need to be separated on a certain scale and construct a new type of network, which can efficiently respond to dynamically changing traffic and provide high-quality, flexible services. Moreover, the structure of these networks is closely related to ultra-low latency, high confidence, and hyper-connectivity and should be based on a new form of split SDN rather than an existing centralized SDN structure, even in the case of the worst condition. And in these SDN structural networks, where automobiles pass through small 5G cells very quickly, the information change cycle, round trip delay (RTD), and the data processing time of SDN are highly correlated with the delay. Of these, RDT is not a significant factor because it has sufficient speed and less than 1 ms of delay, but the information change cycle and data processing time of SDN are factors that greatly affect the delay. Especially, in an emergency of self-driving environment linked to an ITS(Intelligent Traffic System) that requires low latency and high reliability, information should be transmitted and processed very quickly. That is a case in point where delay plays a very sensitive role. In this paper, we study the SDN architecture in emergencies during autonomous driving and conduct analysis through simulation of the correlation with the cell layer in which the vehicle should request relevant information according to the information flow. For simulation: As the Data Rate of 5G is high enough, we can assume the information for neighbor vehicle support to the car without errors. Furthermore, we assumed 5G small cells within 50 ~ 250 m in cell radius, and the maximum speed of the vehicle was considered as a 30km ~ 200 km/hour in order to examine the network architecture to minimize the delay.