• Title/Summary/Keyword: trade intelligence

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A Study on the Determinants of Artificial Intelligence Industry: Evidence from United Kingdom's Macroeconomics

  • He, Yugang
    • Korean Journal of Artificial Intelligence
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    • v.6 no.2
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    • pp.1-9
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    • 2018
  • Recently, the rapid development of artificial intelligence industry has resulted in a great change in our modern society. Due to this background, this paper takes the United Kingdom as an example to explore the determinants of artificial intelligence industry in terms of United Kingdom's macroeconomics. The quarterly time series from the first quarter of 2010 to the fourth quarter of 2017 will be employed to conduct an empirical analysis under the vector error correction model. In this paper, the real GDP, the employment figure, the real income, the foreign direct investment, the government budget and the inflation will be regarded as independent variables. The input of artificial intelligence industry will be regarded as a dependent variable. These macroeconomic variables will be applied to perform an empirical analysis so as to explore how the macroeconomic variables affect the artificial intelligence industry. The findings show that the real GDP, the real income, the foreign direct investment and the government budget are the driving determinants to promote the development of artificial intelligence industry. Conversely, the employment figure and the inflation is the obstructive determinants to hamper the development of artificial intelligence industry.

Effect of Prospective Entrepreneur's Emotional Intelligence on Entrepreneurship: Mediating Effect of Personal Creativity (예비 창업자의 정서지능이 기업가정신에 미치는 영향: 개인창의성 매개 효과)

  • Choi, Ju-Choel;Kim, Hag-Min
    • Asia-Pacific Journal of Business
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    • v.11 no.2
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    • pp.99-118
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    • 2020
  • Purpose - The purpose of this study analyzes the effect of emotional intelligence on entrepreneurship mediated by personal creativity, and an effective. Design/methodology/approach - A questionnaire was administered to approximately 141 students. Collected data were analyzed using SPSS 26.0 and AMOS statistical package. Findings - First, emotional intelligence had a positive effect on personal creativity. Second, Personal creativity was found to have a partial mediating effect on the relationship between emotional intelligence and entrepreneurship. Specifically, personal creativity mediated the relationship between emotional expression intelligence and entrepreneurship, but did not mediate the relationship between entrepreneurship and the facilitation of cognitive intelligence. Lastly, prospective entrepreneur's emotional intelligence is seen to have a positive effect on entrepreneurship, and personal creativity plays a role in mediating between emotional intelligence and entrepreneurship. Therefore, supplementary measures are needed to place more importance on emotional intelligence in entrepreneurship education related to starting a business, which had not been appropriately addressed until now. Research implications or Originality - The implications of this study are that policies are needed to develop entrepreneurship skills in those who are interested in starting a business, and that follow-up studies on entrepreneurship are needed.

Arbitrator Acceptability in International Maritime Arbitration: The Perspective of Korean Shipping Companies

  • Lee, Jae-Ho;Pak, Myong-Sop
    • Journal of Korea Trade
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    • v.24 no.5
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    • pp.18-34
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    • 2020
  • Purpose - In the international shipping industry, arbitration is mainly chosen for resolving maritime disputes. This study investigates the "acceptability" of an international maritime arbitrator based on an existing theoretical model of arbitrator acceptability. Design/methodology - Using structural equation modeling techniques, this study examines a sample of senior managers who engage in the judicial affairs of their international shipping companies to verify a hypothesized model of arbitrator acceptability that covers cultural intelligence, arbitral experience, reputation, practical/legal expertise, and procedural justice as independent variables. Furthermore, the relative "perceived required time" of arbitration is tested as a moderator. Findings - Arbitrator acceptability is significantly influenced by six constructs of arbitrator characteristics: cultural intelligence, arbitral experience, reputation, practical and legal expertise, and procedural justice. Furthermore, the moderating effect of the perceived required time of arbitration is demonstrated in the relationship between arbitrator acceptability and arbitrator characteristics even though these relationships are not equally influenced. Originality/value - The originality of this study can be found in its context, that is, international maritime arbitration. Despite the potential growth of international maritime arbitration, existing studies have mainly focused on domestic arbitration. The findings of this study are expected to provide useful guidelines for nurturing international maritime arbitration in Korea.

Importance Assessment of Multiple Microgrids Network Based on Modified PageRank Algorithm

  • Yeonwoo LEE
    • Korean Journal of Artificial Intelligence
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    • v.11 no.2
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    • pp.1-6
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    • 2023
  • This paper presents a comprehensive scheme for assessing the importance of multiple microgrids (MGs) network that includes distributed energy resources (DERs), renewable energy systems (RESs), and energy storage system (ESS) facilities. Due to the uncertainty of severe weather, large-scale cascading failures are inevitable in energy networks. making the assessment of the structural vulnerability of the energy network an attractive research theme. This attention has led to the identification of the importance of measuring energy nodes. In multiple MG networks, the energy nodes are regarded as one MG. This paper presents a modified PageRank algorithm to assess the importance of MGs that include multiple DERs and ESS. With the importance rank order list of the multiple MG networks, the core MG (or node) of power production and consumption can be identified. Identifying such an MG is useful in preventing cascading failures by distributing the concentration on the core node, while increasing the effective link connection of the energy flow and energy trade. This scheme can be applied to identify the most profitable MG in the energy trade market so that the deployment operation of the MG connection can be decided to increase the effectiveness of energy usages. By identifying the important MG nodes in the network, it can help improve the resilience and robustness of the power grid system against large-scale cascading failures and other unexpected events. The proposed algorithm can point out which MG node is important in the MGs power grid network and thus, it could prevent the cascading failure by distributing the important MG node's role to other MG nodes.

A Study on the Effects of Brand Globalness on Brand Trust and Brand Loyalty: Focusing on the Moderating Effects of Consumers' Cultural Intelligence (브랜드 글로벌성이 브랜드 신뢰도와 브랜드 충성도에 미치는 영향에 관한 연구: 소비자 문화지능의 조절효과를 중심으로)

  • Liu, Xin;Kwon, Yung-Chul
    • Korea Trade Review
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    • v.42 no.4
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    • pp.115-138
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    • 2017
  • To prove the effectiveness of global brand strategy, this paper tries to analyze the effects of brand globalness on brand attitude and behaviors. In addition, the moderating effect of consumers' cultural intelligence is assessed in the influence of brand globalness on brand attitude and behaviors. Based on the analysis of two hundred seven consumers, it is founded that the brand globalness has a strong influence on brand credibility and benevolence which exerts brand royalty as expected. In this process, however, the moderating effect of consumers' cultural intelligence is shown to be statistically ineffective. This implies that the global brand strategy is useful regardless of individual consumers' cultural intelligence.

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The Mediating Effect of Empathy on the Relationship between Cultural Intelligence and Intercultural Adaptation in Intercultural Service Encounters

  • KONG, Lan Lan;MA, Zhi Qiang;JI, Sung Ho;LI, Jin
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.169-180
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    • 2020
  • Globalization has led to a dramatic increase in intercultural service encounters between services providers and customers from diverse cultural backgrounds. This paper explores the causal relationship between service employees‟ cultural intelligence and adaptive sales behavior in intercultural service encounters, and the mediating effect of cognitive and emotional empathy on this relationship. A quantitative survey methodology was utilized to collect data on 341 salespeople at duty-free shops located on Jeju Island, Korea. Data analysis was conducted using SPSS 18 and Amos 18. The results show that cultural intelligence has a significant impact on cognitive empathy, emotional empathy, and adaptive sales behavior. Cognitive empathy has a positive impact on adaptive sales behavior, whereas the relationship between emotional empathy and adaptive sales behavior is not significant. Additionally, cognitive empathy mediates the relationship of cultural intelligence and adaptive sales behavior. This study has useful managerial implications for employee selection, training, and development in service firms engaged in intercultural service encounters. This study extends prior research on intercultural service encounters by exploring the direct impact of cultural intelligence on intercultural adaptation and the mediating effect of empathy, suggesting the presence of a cognitive mechanism that plays a key role in the impact of cultural intelligence on adaptive sales behavior.

Analysis of Trade-off between Period Transformation and Scheduling Overhead in Mixed-Criticality System (혼합 중요도 시스템의 주기 변환과 스케줄링 오버헤드간의 트레이드오프 관계 분석)

  • Yun, Sangwoon;Lim, Jiseoup;Kang, Kyungtae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.3-5
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    • 2022
  • 혼합 중요도(mixed criticality) 시스템은 안전에 중요한 기능을 우선시하도록 하는 추가적인 안전 요구사항이 존재한다. 그러나 기존 실시간 시스템의 설계로는 이를 만족하지 못하며, 높은 중요도 태스크가 다른 낮은 중요도 태스크로부터 간섭을 받아 데드라인 미스와 같은 문제를 일으키는 중요도 역전(criticality inversion) 문제가 발생할 수 있다. 이러한 중요도 역전 문제를 해결하기 위해 주기 변환(period transformation) 기법을 사용할 수 있지만, 스케줄링 오버헤드의 증가로 인해 오히려 전반적인 태스크의 응답시간이 증가하는 또 다른 문제가 발생하게 된다. 본 논문에서는 주기 변환과 스케줄링 오버헤드 간의 트레이드오프 관계를 설명하고, 실시간 리눅스 시스템에서 해당 문제점을 재연한 후 주기 변환의 적정선을 분석하고자 실험을 진행하였다. 그 결과, 중요도 역전 문제를 해결하기 위한 주기 변환을 그대로 적용할 경우, 문맥 교환이 48.7% 증가 및 스케줄링 오버헤드가 28.7% 증가로 인해 전반적인 응답시간이 증가하여 데드라인 미스가 다수 발생하는 결과를 확인할 수 있었다.

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Research on the introduction and use of Big Data for trade digital transformation (무역 디지털 트랜스포메이션을 위한 빅데이터 도입 및 활용에 관한 연구)

  • Joon-Mo Jung;Yoon-Say Jeong
    • Korea Trade Review
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    • v.47 no.3
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    • pp.57-73
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    • 2022
  • The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.

Sex and Population Differences in Intelligence Are Partly Caused by Sexual Selection: Hn Evolutionary Hypothesis

  • Piffer, Davide
    • Interdisciplinary Bio Central
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    • v.6 no.4
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    • pp.2.1-2.7
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    • 2014
  • Sexual dimorphism in intelligence suggests that this phenotype is a sexually selected trait. This view is supported by an overrepresentation (compared to the autosomal genome) of genes affecting cognition on the X chromosome. The aim of this study is to test the hypothesis that sexual selection can explain sex and country-level differences in performance on tests of fluid intelligence. Nationally representative samples from N = 44 countries were obtained from the Programme for International Student Assessment (PISA) Creative Problem Solving (CPS), which evaluates the core of intelligence, that is novel problem solving ability. Sexual selection has the double effect of increasing the prevalence of a favored phenotype and reducing genetic variation in sexually selected traits. Matching these predictions from evolutionary theory, the average country fluid intelligence is positively correlated to sexual dimorphism after partialling out per capita GDP and the latter in turn is inversely correlated to variance in intelligence scores within populations. Males have a higher variance than females but there is a negative correlation between male-female difference in variance and sexual dimorphism in intelligence, suggesting that selection reduces variance more in the selected sex. Average country male height is negatively correlated to sexual dimorphism in intelligence, a fact that supports the notion of a trade-off between physical and intellectual competition in the context of access to females. The results of this study, if replicated, imply that genome-wide association studies of cognition may benefit from a focus on sex chromosomes, which so far have been neglected. Another implication of this study is that intelligence has continued to evolve after different human populations migrated out of Africa and possibly up to the 19th century, as suggested by the substantial variability in sex differences even between neighbouring countries.

Artificial Intelligence and the Virtual Multi-Door ODR Platform for Small Value Cross-Border e-Commerce Disputes

  • Chung, Yongkyun
    • Journal of Arbitration Studies
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    • v.29 no.3
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    • pp.99-119
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    • 2019
  • In recent times, the volume of cross-border e-commerce has witnessed an upward trend and has been accompanied by increased disputes, with cross-border e-commerce being characterized mainly by low value and large volume issues. For this reason, Online Dispute Resolution (ODR) was formed to carry out dispute resolutions in cross-border e-commerce. A virtual multi-door ODR platform for small value, cross-border disputes in e-commerce is then proposed in this paper. For a couple of decades, researchers have tried to employ Artificial Intelligence (AI) to Law. However, it turns out that they were faced with a couple of obstacles to integrate AI to Law since it is highly difficult to program AI to process the common sense of a human being. For example, AI cannot assimilate the affective side of a human being, and it is problematic to integrate a human being's common sense into the AI system. Considering this situation, this study puts forward an ODR model for cross-border e-commerce in the evolutionary perspective.