• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.571-578
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• 2021

The outbreak of the COVID-19 pandemic, which began in 2020, had a significant impact on the economy and business activities worldwide. Large companies, as well as small businesses were affected, many of them had to scale down or divert their businesses, and some even had to stop. This extraordinary situation requires business people to make innovations and adjustments to survive during a pandemic. Entering the digital era, business players are helped by the ease of internet access, which will make it easier for SME players to get data from their consumers. Business actors can use this data to innovate and create new creations to improve business performance during this pandemic. This research aims to identify how small and medium enterprises can take advantage of Big Data to improve marketing performance through innovation and value creation. The research methodology used the in this research is quantitative method. The respondents are SME producers of food and beverage, with a total of 150 respondents. The results in the study indicate that all the proposed hypotheses are accepted. The most significant influence is found on the relationship of Big Data to value creation. The lowest effect was obtained from the relationship between Big Data and marketing performance through the mediation variable and innovation capability.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2018년도 제57차 동계학술대회논문집 26권1호
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• pp.31-34
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• 2018

We live in the digital era, and the characteristics of our customers in the digital era are constantly changing. That's why understanding business requirements and converting them to technical requirements is essential, and you have to understand the data model behind the business layout. Moreover, BI(Business Intelligence) is at the crux of revolutionizing enterprise to minimize losses and maximize profits. In this paper, we have described a leading study about the situation of desk-top BI(software product & programming language) in aspect of front-end side and the Data Lake platform based on Big Data by data modeling in aspect of back-end side to support the business intelligence.

• Journal of Smart Tourism
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• 제2권1호
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• pp.21-31
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• 2022

This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

• 디지털융복합연구
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• 제12권4호
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• pp.1-9
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• 2014

본 연구는 빅데이터 생태계의 개념 및 구성요소의 역할과 책임을 파악하여 빅데이터 산업이 활성화되기 위해서 필요한 전략을 도출하였다. 빅데이터 생태계의 구성요소는 거버넌스, 데이터 보유자, 서비스 이용자, 서비스 제공자, 인프라 제공자로 5개 구분하였다. 5개의 구성요소 간 역할과 책임을 통해 총 11개의 활성화 전략을 도출하였다. 또한 빅데이터 산업 활성화를 위해 선행연구자들이 주장한 내용을 요약 정리하여 총 12개의 활성화 방안을 제시하였다. 빅데이터 구성요소 간 활성화방안과 선행연구자들이 주장한 내용을 결합하여 본 연구에서 총 13개의 빅데이터 산업의 활성화 전략을 제시하였다. 본 연구에서 제시한 빅데이터 산업 활성화 전략이 빅데이터 사업 및 정책방향과 계획 수립의 기본자료로 활용되기 위하여 빅데이터 산업 활성화에 긍정적인 영향을 제공할 것으로 기대한다.

• 한국정보시스템학회지:정보시스템연구
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• 제24권4호
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• pp.139-152
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• 2015

With the advancement of the Internet/IT technologies and the increased computation power, massive data can be collected, stored, and processed these days. The availability of large databases has brought forth a new era in which companies are hard pressed to find innovative ways to utilize immense amounts of data at their disposal. Indeed, data has opened a new age of business operations and management. There are already many cases of innovative businesses reaping success thanks to scientific decisions based on data analysis and mathematical algorithms. Big Data is a new paradigm in itself. In this article, Big Data is viewed as a new perspective rather than a new technology. This value centric definition of Big Data provides a new insight and opportunities. Moreover, the Business Analytics, which is the framework of creating tangible results in management, is introduced. Then the Internet of Things (IoT), another innovative concept of data collection and networking, is presented and how this new concept can be interpreted with Big Data in terms of the value centric perspective. The challenges and opportunities with these new concepts are also discussed.

• 산업진흥연구
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• 제5권4호
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• pp.91-100
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• 2020

미국은 19세기말~20세기초기간에 영국경제를 추월하면서 대기업체제가 출현하였다. 이러한 미국의 성장은 양질 이민의 지속적 유입과 교통수송기관의 혁신적 발전과 전국적 시장형성 및 체계적이고 조직적인 과학기술의 R&D가 이룩한 '미국식 생산양식'현출에 있었다. 1895년이후 10년동안 미국경제는 수직·수평적 통합의 거대합병현상이 일어 300여개 이상의 기업들이 합병에 참여했다. 대기업의 출현이 인식되기 시작한 초기에는 미국내의 시민들은 '부와 기회의 땅' 미국의 전통적 상징이 위협받을 것이라는 우려에서 반(反)대기업운동을 전개하였다. 대기업의 행위를 규제할 정부기구가 설치되고 규제법안이 실행되었으나, 종국적으로는 새로운 경제질서를 수용하고 받아들였다. 이는 대기업 등장이후 초래된 미국의 경제적 번영과 물질적 풍요 및 대기업운영이 이룬 경영관리체제의 효과에 연유된 것을 확인하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.507-517
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• 2020

The present research intends to examine the relationship between the Big Five personality traits and leadership initiations among the marketing executives in Delhi NCR (INDIA), and seeks to uncover the predictors of leadership initiations within personality traits. The data are collected through online survey method using different social media platforms. A sample of 233 (male =136 and female =97) marketing executive's responses were included. The data collected with the help of self-reported Big Five model inventory and leadership initiation test. The collected data were analyzed statistically by using descriptive statistics, correlation. and stepwise multiple regression analysis. The results revealed that the age of respondents inversely correlated with leadership initiation. Neuroticism revealed significant inverse correlation with leadership initiation, whereas significant positive correlations were found between extraversion, conscientiousness, agreeableness, and leadership initiations, while openness to experience revealed insignificant positive correlation with leadership initiation. Extraversion and conscientiousness appeared as the most dominant personality traits among marketing executives, irrespective of gender, that positively influenced leadership initiation and appeared as the predictor of leadership initiation. In male executives extraversion and age emerged as the predictors of leadership behavior, while in female executives extraversion and openness to experience personality traits appeared as the predictors of leadership initiation.

• 벤처창업연구
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• 제15권2호
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• pp.209-220
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• 2020

본 연구는 선행 연구를 바탕으로 5개의 시중은행(KB국민은행, 신한은행, 우리은행, KEB하나은행, NH농협은행)에 종사하는 은행원의 성격특성을 Big5 성격요인으로 분석하고, 그 성격 요인에 따라 창업의도와 디지털미디어 활용역량에 미치는 영향에 대하여 알아보았다. 또한 Big5 성격요인과 창업의도 사이에서 디지털미디어 활용역량의 매개효과가 있는지에 대한 분석도 진행하였다. 그 결과 첫째, Big5 성격요인 중 외향성, 개방성이 창업의도와 정(+)의 관계를, 성실성은 부(-)의 관계를 나타내었다. 둘째, Big5 성격 요인과 디지털미디어 활용역량과의 관계에서 친화성, 성실성, 개방성은 콘텐츠 활용역량에 긍정적인 영향을 미쳤으며 커뮤니케이션 활용역량은 개방성과 정(+)의 상관관계를 보였다. 셋째, 디지털미디어 활용역량인 콘텐츠 활용역량과 커뮤니케이션 활용역량이 창업의도에 미치는 영향에서는 커뮤니케이션 활용역량이 창업의도에 정(+) 영향을 미쳤다. 넷째, Big5 성격요인과 창업의도 사이에 디지털미디어 활용역량의 매개효과를 검증한 결과 커뮤니케이션 활용역량이 개방성과 창업의도를 매개하였다. 창업에 관심이 있는 은행원을 대상으로 은행원의 특성에 맞는 체계적이고 실질적인 창업 교육을 함으로써 퇴직 후 실제 창업에 도움을 주는 것이 필요하다. 또한 창업교육을 통하여 커뮤니케이션 활용역량을 강화함으로써 창업에 필요한 다양한 정보를 수집하고, 나아가 수집한 정보를 바탕으로 새로운 가치를 창출하여 실제 창업으로 이어질 수 있도록 교육을 활성화 할 필요가 있다는 결론을 도출하였다.

• 한국빅데이터학회지
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• 제1권1호
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• pp.23-32
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• 2016

정보기술 발전은 기업이 보유하고 있는 다양한 구조 및 비구조 데이터를 관리할 수 있게 하였다. 이러한 빅데이터 활용은 기업의 새로운 비즈니스 핵심가치로 평가 받고 있다. 본 연구에서는 빅데이터로 인해 더욱 중요하게 평가받는 데이터 자원이 기업 분석 활용에 미치는 영향을 연구하고자 한다. 최신 해외 보고서들을 살펴보면, 빅데이터 활용성과에 대한 실증 연구를 보여주고 있다. 이러한 해외 실증 연구와 비교하여 국내 기업의 빅데이터 활용 특성을 분석하고자 한다. 본 연구 결과는 향후 빅데이터 활용 기업에 적용 가능한 성숙모형 개발에 도움을 줄 수 있을 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.109-121
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• 2023

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.