• Title/Summary/Keyword: Corporate Data Analysis

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Legal Considerations to Make a Successful Corporate Decision: Evidence from Prior Literature Analysis

  • KIM, Young-Dae;KOH, Jae-Jong
    • East Asian Journal of Business Economics (EAJBE)
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    • v.10 no.2
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    • pp.71-80
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    • 2022
  • Purpose - It is chaotic when doing a business without legal patterns and rules; individuals who make legal decisions without legal consideration are often protecting their interests and forgetting others. This study aims to suggest key solutions how companies can make better decision based on legal considerations through investigation comprehensive literature analysis. Research design, Data, and methodology - This research conducted qualitative textual method and a technique called 'Qualitative Comparative Analysis' (QCA) can be used to understand better why certain things change while others do not. In tough situations, QCA is a strategy for comparing several occurrences. Result - Total six considerations were founded by the QCA for better corporate decision. Based on these considerations, all stakeholders, shareholders, and every employee should nominate and vote on one person to be their leader in the organization; fair practices in choosing the governor of the organization through legal binding will bring peace and order to the company. Conclusion - It was time consuming to go through every detailed material that entails legal consideration in making corporate decision. The concept of same profile in the research is critical whereby many authors are using same concept to write their articles and books. Using pure concept from one source limits the research and gives inadequate information.

The Effects of Digital Consumption Trust and Corporate Trust on IT Device and Service Satisfaction

  • Park, Seungbae;Hong, Jaewon
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.217-222
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    • 2021
  • Recently, trust in online transactions and corporate trust are most important at the corporate level as social overhead capital in commercial transactions using digital devices such as online, mobile, and SNS platforms. Therefore, this study used data from the Korea Consumer Agency's consumer policy indicators to identify the impact of digital consumption trust and corporate responsibility trust on the satisfaction of information and communication products and services. According to the analysis, trust in digital consumption conditions and responsibility of companies have a positive impact on satisfaction of information and communication devices and satisfaction of information and communication services. In addition, it was found that trust in corporate responsibility has a greater impact on satisfaction of information and communication devices and satisfaction of information and communication services than trust in digital consumption conditions. Theoretical and practical implications for these findings and suggestions for future research were presented.

The effect of corporate entrepreneurship on managerial innovation, and the moderating effect of shared vision (사내 기업가정신이 관리혁신에 미치는 효과 및 비전공유의 조절효과)

  • Ahn, Kwan-Young
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.333-339
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    • 2012
  • This paper reviewed the relationship between corporate entrepreneurship(innovativeness, risktaking, proactiveness) and managerial innovation(organization innovation, human resource innovation), and the moderating effect of shared vision. The data to verify proposed hypothesis consist of the responses from 243 employees in Kyeong-Gi and Kang-Won province. The results of hierarchical multiple regression analysis showed that innovativeness and proactiveness are related positively with organization innovation and human resource innovation, but risktaking is not related with innovation. Although risktaking has not effect on human resource innovation, it is appeared that it will be positively related with human resource innovation while shared vision is high.

A Study on Big Data Maturity Assessment Framework for Corporate Data Strategy and Investment (기업 데이터 전략과 투자를 위한 빅데이터 성숙도 평가 프레임워크 실증 연구)

  • Kim, Okki;Park, Jung;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.13-22
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    • 2021
  • The purpose of this study is to develop and demonstrate a framework for evaluating the maturity of big data for effective data strategy establishment and efficient investment of companies. By supplementing the shortcomings of the evaluation developed so far, a framework was developed to evaluate the maturity of a company's big data in an integrated process. As a result, four evaluation areas of 'Vision and Strategy', 'Management', 'Analysis' and 'Utilization', assessment items for each area, detailed content, and criteria for each stage were derived. This was verified through a survey of entrepreneurs, and the maturity level of big data of domestic companies was confirmed. As a future research direction, it is proposed to develop detailed assessment factors according to the characteristics of each industry, to develop a data utilization framework according to the assessment results, and to improve validity and reliability through adjustment of verification targets.

A Study on the Value Factors of Culture Consumers for Corporate Culture Marketing through Big Data Techniques (빅데이터 기법을 통한 기업 문화마케팅을 위한 문화소비자의 가치 요소 연구)

  • Oh, Se Jong
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.31-36
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    • 2020
  • Corporate Culture Marketing is a marketing tool that enhances a company's cultural image or conveys its image through culture. Culture Consumer value analysis is important predictive data in identifying the value and pursuit of life in individual consumption behavior, explaining the choice behavior of culture consumers, and serves as the basis for decision making. The research method was linked to the text mining and opinion mining techniques of big data, and extracted positive, negative and neutral words. The analysis targets culture consumers participating in concerts at Hyundai Card's 'Super Concert', which is subject to domestic consumers, and CJ ENM's 'KCON', which is subject to foreign consumers. The culture consumer value elements of corporate culture marketing are the basic conditions, and they were derived as 'Consensus Communication (Expression of Sensibility)', 'Participation Sharing(VIP Belonging)', 'Social Change Issue', 'Differentiating Services', 'Price Discount Benefit' and 'Location Quality'. In the future, we will need to foster 'Culture Technology Marketers' and apply them in areas such as arts management planning, cultural investment, cultural distribution, cultural space, Corporate Culture, CSR and K-pop marketing to enhance corporate interests and brand value and enhance brand value.

The Effects of Compliance Timing on Multinational Enterprises' Corporate Performance in China: An Application of Institutional Perspectives

  • Yang, Woo-Young;Han, Byoung-Sop
    • Journal of Korea Trade
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    • v.24 no.4
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    • pp.71-94
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    • 2020
  • Purpose - Multi-National Enterprises (MNEs) tend to face a high level of institutional pressures in regions with high institutional development level. When complying with institutional pressures, firms try to make decisions to maximize profit while minimizing the risks to them. The purpose of this study is to investigate the influence of the institutional development level on institutional compliance timing by MNEs and the relationship between compliance speed and corporate performance. Design/methodology - The research focuses on three main variables, which are the institutional development level (as a determination of the institutional pressure level), the firm's compliance speed (as a determination of the compliance timing), and the firm's financial performance (as a determination of the corporate performance). We collected 19,869 firm-level data from CSMAR (the China Stock Market and Accounting Research), 6,922 CSR data from RKS (the Rankins CSR Ratings), and province and city-level data from the NERIM (National Economic Research Institute Index of Marketization) and NBSC (National Bureau of Statistics of China). The firms in China were chosen for analysis, and the analysis period was from 2008 to 2017. Random Effects GLS Regression was used to test the relationships among the variables. Findings - This study examined the effect of the institutional development level on the firm's compliance speed, together with the effect of compliance speed on the firm's financial performance of the MNEs in China. We found that the institutional development level positively influenced firms' financial performances, which means the firms' financial performances are better in the region with a high institutional development level. The compliance speed of institutional practice by firms was faster in the higher level of institutional development. However, the firm's delayed compliance led to better financial performance. Originality/value - Studies in the resource dependence view of Institutional Theory often fall short in understanding the theory by overlooking the firm's active decision-making. Thus, the findings do not present a full scope of corporate performance in this regard. This study not only found a way to test the role of a firm's independent decision-making (i.e., compliance timing) when facing the institutional pressure but also prove the significant role of the compliance timing on corporate performance. Also, we were able to test the effect of institutional development level, controlling location-specific variables because we used CSR performance data for MNEs operating in China. Lastly, by doing the above, the findings of this study suggest practical implications to the industry practitioners in MNEs.

A study on the effect of tax evasion controversy on corporate values in internet news portals through big data analysis (빅데이터 분석을 통한 인터넷 뉴스 포털에서의 탈세 논란이 기업 가치에 미치는 영향 연구)

  • Lee, Sang-Min;Park, Myung-Ho;Kim, Byung-Jun;Park, Dae-Keun
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.51-57
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    • 2021
  • If a company's actions to save or avoid taxes are judged to be tax evasion rather than legal tax action by the tax authorities, the company will not only pay tax but also non-tax costs such as damage to corporate image and stock price decline due to a series of tax evasion-related news articles. Therefore, this study measures the frequency of occurrence of tax evasion controversial keywords in internet news portal as a factor to measure the severity of the case, and analyzes the effect of the frequency of occurrence on corporate value. In the Korean stock market, we crawl related articles from internet news portal by using keywords that are controversial for tax evasion targeting top companies based on market capitalization, and generate a time series of the frequency of occurrence of keywords about tax evasion by company and analyze the effect of frequency of appearance on book value versus market capitalization. Through panel regression and impulse response analysis, it is analyzed that the frequency of appearance has a negative effect on the market capitalization and the effect gradually decreases until 12 months. This study examines whether the tax evasion issue affects the corporate value of Korean companies and suggests that it is necessary to take these influences into account when entrepreneurs set up tax-planning schemes.

Multidimensional Model for Spatiotemporal Data Analysis and Its Visual Representation (시공간데이터 분석을 위한 다차원 모델과 시각적 표현에 관한 연구)

  • Cho Jae-Hee;Seo Il-Jung
    • Journal of Information Technology Applications and Management
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    • v.13 no.1
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    • pp.137-147
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    • 2006
  • Spatiotemporal data are records of the spatial changes of moving objects over time. Most data in corporate databases have a spatiotemporal nature, but they are typically treated as merely descriptive semantic data without considering their potential visual (or cartographic) representation. Businesses such as geographical CRM, location-based services, and technologies like GPS and RFID depend on the storage and analysis of spatiotemporal data. Effectively handling the data analysis process may be accomplished through spatiotemporal data warehouse and spatial OLAP. This paper proposes a multidimensional model for spatiotemporal data analysis, and cartographically represents the results of the analysis.

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A Study on Brand Image Analysis of Gaming Business Corporation using KoBERT and Twitter Data

  • Kim, Hyunji
    • Journal of Korea Game Society
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    • v.21 no.6
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    • pp.75-86
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    • 2021
  • Brand image refers to how customers, stakeholders and the market see and recognize the brand. A positive brand image leads to continuous purchases, but a negative brand image is directly linked to consumers' buying behavior, such as stopping purchases, so from the corporate perspective, it needs to be quickly and accurately identified. Currently, methods of investigating brand images include surveys and SNS surveys, which have limited number of samples and are time-consuming and costly. Therefore, in this study, we are going to conduct an emotional analysis of text data on social media by utilizing the machine learning based KoBERT model, and then suggest how to use it for game corporate brand image analysis and verify its performance. The result has proved some degree of usability showing the same ranking within five brands when compared with the BRI Korea's brand reputation ranking.

Effect of the Scarcity Message Type and Sender Type on Purchase Intention in Instagram as a Distribution Channel

  • Inyup LEE;Dong-Kyu KIM;Chulhwan CHOI
    • Journal of Distribution Science
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    • v.21 no.7
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    • pp.73-82
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    • 2023
  • Purpose: Social networking services have been recognized as an attractive distribution channel at a time when efforts to deliver effective messages to consumers are essential amid a flood of advertisements in the multi-media era. In that sense, this study investigated the effect of the scarcity message type (limited-time vs. limited-quantity) and sender type (corporate vs. consumer) on the intention to purchase golf equipment by Instagram distribution channel. Research design, data and methodology: Data from 108 college students in their 20s and 30s with experience using Instagram were collected online through convenience sampling. A frequency analysis, exploratory factor analysis, reliability analysis, independent sample t-test, and two-way analysis of variance were performed using SPSS 23.0. Results: The results showed that limited-quantity messages induce a higher purchase intention than limited-time messages. Similarly, consumer-sent advertisements induce a higher purchase intention than corporate-sent advertisements. Further, there is no statistically significant interaction effect of the scarcity message type and sender type on the intention to purchase golf equipment. Conclusions: This study is meaningful in verifying consumers' purchase intention depending on the type of scarcity message and the type of sender in Instagram advertisements. The results yield significant implications for marketers and several directions for future research.