A Business Application of the Business Intelligence and the Big Data Analytics

이기광,김태환 한국산업경영시스템학회 2019 한국산업경영시스템학회지 Vol.42 No.4

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. BI is the collection of systems and products that have been implemented in various business practices, but not the information derived from the systems and products. On the other hand, big data has come to mean various things to different people. When comparing big data vs business intelligence, some people use the term big data when referring to the size of data, while others use the term in reference to specific approaches to analytics. As the volume of data grows, businesses will also ask more questions to better understand the data analytics process. As a result, the analysis team will have to keep up with the rising demands on the infrastructure that supports analytics applications brought by these additional requirements. It’s also a good way to ascertain if we have built a valuable analysis system. Thus, Business Intelligence and Big Data technology can be adapted to the business’ changing requirements, if they prove to be highly valuable to business environment.

비재무적 요인이 중소벤처기업의 신용평가에 미치는 영향

유원종(Wonjong Yoo),이철규(Cheolgyu Lee) 대한경영학회 2015 大韓經營學會誌 Vol.28 No.12

특허-상표 연계 비즈니스 인텔리전스를 위한 텍스트 분석 기반의 비즈니스 영역 식별

윤주호,깁병훈 대한산업공학회 2024 대한산업공학회지 Vol.50 No.1

This study presents a novel approach for identifying new business opportunities by analyzing the linkage between patents and trademarks leveraging text analytics. Initially, we utilize topic modeling to analyze the descriptions of goods and services in trademarks, with a particular focus on trademarks that do not share similar group codes. Using the Latent Dirichlet Allocation (LDA) model, the descriptions in the trademarks are segmented into multiple business groups based on similarities. Subsequently, we define business areas by measuring their similarity to the industry classifications represented by the Standard Industrial Classification (SIC) system. To this end, we propose a novel weighted cosine similarity. Leveraging the proposed similarity, we align each patent with one of the predefined business groups extracted from the trademark data. Based on this approach, we can identify business areas closely related to the technological capabilities of tech-based firms. In the case study, we showed that business areas are identified through the alignment between the customized goods and service groups and SIC from trademark data of global technology-based firms.

저자동시인용분석에 의한 Business Analytics 분야의 지적 구조 분석: 2002 ~ 2020

임혜정 ( Lim Hyae Jung ),서창교 ( Suh Chang Kyo ) 한국정보시스템학회 2021 情報시스템硏究 Vol.30 No.1

Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are “Big Data Analytics Infrastructure”, “Performance Management System”, “Interactive Exploration”, and “Supply Chain Management”. We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.

Business Analytics를 이용한 기업 지식관리시스템 구축 사례 연구

이충근 ( Chung Keun Lee ),이수용 ( Soo Yong Lee ),이군희 ( Gun Hee Lee ) 한국지식경영학회 2013 지식경영연구 Vol.14 No.4

Although business Intelligence system is introduced to many companies over the past decade, The result of business benefits from BI investment are not so significant than expected. But still successful BI system can provide the ability to analyse business information in order to support and improve management decision making across a broad range of business activities. In recently, Business Analytics System(BA) is emerging as advanced alternative of outdated and inefficient BI System. This study is focus on constructing procedure of BA system in KB card company, which is major credit card company in South Korea. In practice there were just few works that mentioned well-designed environment of KMS system, and other contribution of this study is to make a platform which invoke revelation of collective intelligence in data analytic professional users group.

균형성과표(BSC)를 활용한 댄스피트니스 비즈니스의 핵심성과지표(KPI) 도출

이지영,김지영 한국스포츠산업경영학회 2019 한국스포츠산업경영학회지 Vol.24 No.2

The purpose of this study was to develop the key performance indicator(KPI) required for the performance management of dance fitness business. The performance indicators(PI) for all six perspectives were added to the market perspective, reflecting the four perspectives of the balanced score card(BSC; finance, customer, internal process, learning and growth). This study was conducted a Delphi survey and the analytic hierarchy process(AHP) with the data from 20 experts in the dance fitness field to check the importance of each performance point and viewpoint. The research methods and results are summarized as follows. Firstly, 30 PIs (5 PIs from each aspect) were derived from the market environment viewpoint (internal environmental viewpoint, external environment viewpoint) and the four aspects of the BSC perspectives through literature review and a Delphi survey of dance fitness businesses. Secondly, according to results of the AHP analysis, we ranked the importance of aspects of business performance for a dance fitness business as follows: (1) customer perspective, (2) financial perspective, (3) internal process perspective, (4) internal environment perspective, (5) learning and growth perspective, (6) external environment perspective. Lastly, AHP analysis results allowed identification of the most important PI in each of the six aspects of business performance; financial perspective (net profit), customer perspective (existing retention rate), internal process perspective (internal communication), learning and growth perspective (strengthening employee capacity), internal environmental perspective (leader capacity), and external environment perspective (local accessibility) have been derived as the core strategy area KPI for dance fitness business performance management. This study suggests a comprehensive viewpoint based on performance management guideline that allows to consider not only financial but also non - financial performance by developing KPI in dance fitness business with BSC and a market-based approach. It will be a basic study to stage subsequent research and development(R&D) such as Customer Relationship Management(CRM), management information and software system construction for leveraging programs of management strategy. 이 연구의 목적은 댄스피트니스 비즈니스의 성과관리를 위해 요구되는 핵심성과지표(KPI: Key Performance Indicator)를 도출하는 것이다. 이를 위해 이 연구는 비즈니스의 전략적 성과관리로 활용되는 균형성과표(BSC: Balanced Score Card)의 네 가지 관점에 기초하였으며, 추가적으로 댄스피트니스 시장의 특성을 반영한 내적, 외적 환경 관점을 더하여 총 여섯 가지 관점에 대한 성과지표(PI: Performance Indicator)를 선정하였다. 각 관점별 성과지표의 중요도를 확인하기 위해 댄스피트니스 분야의 현장 전문가 20명을 대상으로 델파이 조사와 계층분석기법(AHP)을 활용하여 자료의 수집 및 분석을 실시하였다. 연구의 결과는 다음과 같다. 첫째, BSC 관점 및 댄스피트니스 비즈니스의 시장 관점(내부환경 관점, 외부환경 관점)에 대하여 다섯 개씩 총 30개의 PI를 선정하였다. 둘째, 댄스피트니스 비즈니스의 경영성과에 대한 여섯 가지 관점의 상대적 중요도를 산출한 결과, (1)고객 관점 (2)재무적 관점 (3)내부 프로세스 관점 (4)내부환경 관점 (5)학습 및 성장 관점 (6)외부환경 관점의 순으로 중요도가 나타났다. 셋째, 여섯 가지 경영성과 관점에서의 PI 중요도를 확인한 결과, 재무적 관점(순이익), 고객 관점(기존 고객 유지율), 내부 프로세스 관점(내부 커뮤니케이션), 학습 및 성장 관점(직원 역량 강화), 내부환경 관점(지도자 역량), 외부환경 관점(지역적 접근성)이 댄스피트니스 비즈니스의 성과관리를 위한 핵심성과지표로 도출되었다. 이 연구는 댄스피트니스 비즈니스의 KPI를 도출함에 있어, 재무적 성과에만 치우치지 않고 비재무적 성과를 고려하여 BSC 관점에 시장 환경의 관점을 추가하여 종합적인 성과관리 전략을 제시하고자 하였다. 이와 같은 연구는 향후 고객관계관리(CRM: Customer Relationship Management)의 데이터베이스화와 경영정보 기반의 소프트웨어 시스템 구축 등 후속적인 연구개발(R&D)을 조망해볼 수 있는 기초연구로써 의의가 있다.

대․중소기업 해외동반진출 사업의 성과와 그 영향요소의 상대적 중요성: 한류연계와 해외홈쇼핑 사업을 중심으로

유혜방,정진섭 한국국제경영관리학회 2018 국제경영리뷰 Vol.22 No.1

Recently, the growth engine of the Korean economy has been falling. In particular, the growth centered on existing large enterprises has been now showing a limited effect on the vitality of the national economy, such as job creation, due to a decrease of ‘trickle down effect’. Moreover, Korea’s domestic market is small. In order for companies to grow, overseas advancement is inevitable. In this situation, it is a meaningful attempt to demonstrate the performance and factors' relative importance of joint businesses between large enterprises and SMEs entering into overseas together. More specifically, in this study, we conducted empirical analyses of the companies participating in the ‘Korean Wave-related’ and ‘Overseas Home Shopping’ business by the ‘Large and Small Business, Agriculture and Fishery Cooperation Foundation’. As a result of conducting empirical analysis on SMEs, it is found that cooperation activities in ‘product’, ‘market expansion’, ‘related synergy’, and ‘business context’ are generally positive in terms of the degree of cooperation between large and small companies and dependent variables (corporate performance). Specifically, as a result of multiple regression analysis, as the level of product, market, and related synergy increased, positive effect was shown on the performance of the companies and no significant statistical results were found on the ‘business context’. However, in the simple regression analysis, significant positive results were obtained. On the other hand, the results of the AHP analysis were as follows, based on the factors and components selected through the previous research and interviews with industry experts in order to measure the relative importance of the involved variables. In case of large-items, ‘market’ was the highest, followed by ‘product’, ‘business context’, and ‘related synergy’. In terms of sub-items, ‘product promotion’ was the highest, followed by ‘product improvement’, ‘new market’, ‘existing market’, ‘online market’, ‘improvement of relations’, ‘front-to-back synergy effect’, ‘information acquisition’, ‘image improvement’, and ‘other competitiveness’. In addition, we analyzed respective “Korean Wave-related” and “Overseas Home Shopping” business in order to investigate the characteristics of each business, and finally suggested meaningful implications. 최근 한국경제의 성장 동력이 떨어지고 있다. 특히 기존 대기업 중심의 성장은 이제 낙수효과가 떨어져 일자리 창출 등 국가경제의 활력에 한계를 나타내고 있다. 더구나 한국의 내수 시장은 규모 등 한계가 있어 기업들이 성장하기 위해서 해외진출은 불가피해지고 있다. 이러한 상황에서 대기업과 중소기업이 함께 해외로 진출하는 동반진출사업의 성과와 그 성과에 미치는 변수들의 상대적 중요성에 대해 고찰하는 것은 의미 있는 시도라고 판단된다. 보다 구체적으로, 본 연구에서는 실제 대․중소기업․농어업협력재단에서 ‘한류연계’ 사업과 ‘해외홈쇼핑’ 사업에 참여하는 기업을 대상으로 실증분석을 수행하였다. 중소기업을 대상으로 실증분석을 수행한 결과, 제품, 시장 확대, 관련시너지, 경영여건분야의 활동은 대․중소기업 간의 ‘협력정도’라는 매개변수와 동반진출한 기업의 성과라는 종속변수에 전반적으로 긍정적인 결과가 나타났다. 구체적으로, 다중회귀분석의 실증결과, 제품, 시장, 관련시너지의 경우, 그 수준이 증가할수록 동반진출 기업성과에 정(+)의 효과가 나타났으며 경영여건의 경우, 유의미한 통계적 결과가 나타났지 않았다. 그러나 단순회귀분석에서는 유의미한 긍정적 결과가 도출되어, 이 변수 역시 성과와 관계가 있다고 판단되었다. 한편, 동반진출한 기업의 성과와 관련된 변수의 중요도 측정을 위해, 연구모형을 수립하여 AHP 분석을 실시한 결과, 대 항목의 경우, ‘시장’이 가장 높게 나타났으며, 그 다음으로는 ‘제품’, ‘경영여건’ 순으로 중요하다고 분석되었고, ‘관련시너지’가 제일 낮게 나타났다. 하위 항목 중요도의 경우, ‘제품 홍보’가 가장 높게 나타났으며, 그 다음으로는 제품 개선, 신시장, 기존 시장, 온라인 시장, 관계 개선, 전ㆍ후방 시너지 효과, 정보획득, 이미지 개선, 기타 경쟁력 순으로 중요도가 높게 나타났다. 또한, 이러한 분석을 한류연계 사업과 해외홈쇼핑 사업으로 각각 구분하여 분석하였고, 각 사업별 특징에 따른 시사점도 도출하였다.

LONG-TERM STRATEGIC ORIENTATION IN MARKETING-DRIVEN ORGANIZATIONS: THE ROLE OF MARKETING ANALYTICS

Zabkar Vesna,Arslanagic-Kalajdzic Maja 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

The strategic orientation of a firm contributes positively to its business performance. However, there are still many unexplored facets of strategic orientation of a firm and its antecedents, thus preventing researchers and practitioners from fully understanding how this contribution takes place. Strategic orientation assumes corporate-level perspective, where differences in perspective can be expected between marketing-driven and finance-driven organizations. If strategic orientation is placed in the context of today’s Big Data era, marketing analytics becomes an increasingly important tool in shaping strategic orientation. Hence, this paper has two objectives: (1) to investigate how marketing-driven and finance-driven organizations achieve long-term strategic orientation and (2) to examine the role of marketing analytics for long-term strategic orientation. The participants in a quantitative survey were managers responsible for marketing from a cross-industry sample. The results indicate that marketing-driven organizations achieve long-term strategic orientation indirectly through marketing analytics. Finance-driven organizations are not significantly related to long-term strategic orientation. Authors confirm a positive relationship between long-term strategic orientation and business performance.

LONG-TERM STRATEGIC ORIENTATION IN MARKETING-DRIVEN ORGANIZATIONS: THE ROLE OF MARKETING ANALYTICS

Zabkar Vesna,Arslanagic-Kalajdzic Maja 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.3

The strategic orientation of a firm contributes positively to its business performance. However, there are still many unexplored facets of strategic orientation of a firm and its antecedents, thus preventing researchers and practitioners from fully understanding how this contribution takes place. Strategic orientation assumes corporate-level perspective, where differences in perspective can be expected between marketing-driven and finance-driven organizations. If strategic orientation is placed in the context of today’s Big Data era, marketing analytics becomes an increasingly important tool in shaping strategic orientation. Hence, this paper has two objectives: (1) to investigate how marketing-driven and finance-driven organizations achieve long-term strategic orientation and (2) to examine the role of marketing analytics for long-term strategic orientation. The participants in a quantitative survey were managers responsible for marketing from a cross-industry sample. The results indicate that marketing-driven organizations achieve long-term strategic orientation indirectly through marketing analytics. Finance-driven organizations are not significantly related to long-term strategic orientation. Authors confirm a positive relationship between long-term strategic orientation and business performance.

상표데이터기반 비즈니스 인텔리전스 : 활용사례 및 연구이슈

윤장혁(Janghyeok Yoon),고남욱(Namuk Ko),정병기(Byeongki Jeong),최재웅(Jaewoong Choi) 대한산업공학회 2019 대한산업공학회지 Vol.45 No.4

A trademark is an intellectual property and recognizable sign, design, or expression that identifies goods and services of a particular business entity from those of others. Despite the application potential of trademark data that contain information about products and services firms are providing into the market, business intelligence that supports decision making with insight generated from trademark data remains an unexplored research area. Therefore, for the purpose of facilitating trademark data-based analytical studies, this study 1) introduces the trademark system and the trademark data structure, 2) presents simple but exemplary applications, such as competitive firm analysis and corporate business portfolio analysis, using the Korean trademark data, and 3) lastly discusses future research issues for trademark data-based business intelligence. We believe this study will contributes to follow-up research and researchers, by providing applications and research issues in the field of trademark data analytics.