• 제목/요약/키워드: e-Business Impacts

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국내산업 특수분류방법을 고려한 보안산업 분류방향 연구 (A Study on the Method of Security Industrial Classification through the Review of Industrial Special Classification)

  • 신은희;장항배
    • 한국전자거래학회지
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    • 제22권4호
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    • pp.175-191
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    • 2017
  • 보안산업의 성장 및 산업간 영향 등을 평가하기 위한 경제적 통계 작성의 기본은 보안산업 범위의 설정과 함께 표준화된 산업분류를 작성하는 것으로 시작된다. 산업분류는 국제 및 국내의 표준화된 표준산업분류기준을 준수하고 이와 연계되도록 작성되어야 한다. 현재 보안과 관련된 제품과 서비스 분류, 기술 분류는 물론 정보보안, 물리보안, 융합보안의 대표적 분류들은, 산출물을 위한 생산 활동의 특성을 기본으로 하는 산업분류의 기준과 부합하지 않고, 다수의 융합보안 산업분류 연구 결과 역시 수요자 중심의 분류로 현재 국가에서 통계, 법, 정책 집행 등에서 공식적으로 사용하는 공급자 중심 분류와는 차이가 있다. 본 연구에서는 이를 위해 우리나라 및 국제적인 산업분류의 기준을 정리한 후 현재 보안에 대한 분류들이 이러한 기준에 부합한지를 우선 살펴보았다. 다음으로 보안산업과 같이 새롭게 형성되는 산업들의 분류 방향을 보기 위해 일부 국내 산업 특수분류 사례들과 유형을 검토한 후 이를 토대로 보안산업의 산업분류 기준 및 작성 방향에 대해 제안하였다.

중소 IT기업 영업사원의 경쟁력 강화를 위한 성과 창출 제고 방안: 조직시민행동 및 경영성과 제고 방안을 중심으로 (The Ways to Improve Competitiveness and Performance for Salesmen of Small and Medium IT Company: Focusing on Organizational Citizenship Behavior and Corporate Performance)

  • 이규돈;이상진;이철규
    • 한국전자거래학회지
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    • 제21권3호
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    • pp.101-128
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    • 2016
  • 본 연구의 목적은 중소 IT기업의 영업사원이 경쟁력 강화를 위하여 가치지향성, 리더십, 공정성이 조직시민행동과 경영성과에 미치는 영향을 알아보고 나아가 매개변수로써 적응적 판매행위의 역할을 탐구하는데 있다. 연구를 위해서 구조화된 질문지를 이용하여 200여 개 회사의 종사자로부터 314명의 자료를 수집하였고 수집된 자료는 회귀분석방법을 사용하여 분석하였다. 기업의 장기적인 지속경영을 위해 상도를 지키는 것이 중요함에도 단기적인 이익 생존을 위해 불공정한 방법의 영업전략이 선호되는 현상에서 'IT기업의 영업사원의 가치지향성, 리더십, 공정성이 조직 시민행동과 경영성과에 미치는 영향'을 연구하는 것을 바탕으로 연구모형을 수립하였다. 본 연구의 가설은 다음과 같이 설정하였다. 첫째, 가치지향성, 리더십, 공정성은 조직시민행동과 경영성과에 영향을 미칠 것이다. 둘째, 적응적 판매행위는 독립변수와 종속변수 사이에서 매개역할을 할 것이다. 매개효과 검정을 포함한 본 연구모형 분석 결과는 가치지향성은 적응적 판매행위에, 적응적 판매행위는 조직시민행동과 경영성과에 정(+)의 영향을 미치며, 적응적 판매행위는 가치지향성과 조직시민행동을 완전매개하고 가치지향성과 경영성과 사이를 부분매개하는 것으로 확인되었다. 리더십은 적응적 판매행위에 정(+)의 영향을, 적응적 판매행위는 조직시민행동과 경영성과에 정(+)의 영향을 미치며, 적응적 판매행위는 리더십과 조직시민행동에서는 부분매개로 리더십과 경영성과 사이에서 완전매개 역할을 하고 있는 것으로 확인되었다. 따라서 각 기업에서는 지속가능경영을 위해 가치지향성, 공정성에 대한 중요성을 고려한 영업전략을 수립하는 것이 매우 중요하며 그에 따른 회사의 윤리경영 및 영업사원의 가치관을 올바르게 지속시켜 줄 수 있는 교육시스템에 대한 영업환경을 적극 고려해 볼 필요가 있다.

기업의 SNS 노출과 주식 수익률간의 관계 분석 (The Analysis on the Relationship between Firms' Exposures to SNS and Stock Prices in Korea)

  • 김태환;정우진;이상용
    • Asia pacific journal of information systems
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    • 제24권2호
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    • pp.233-253
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    • 2014
  • Can the stock market really be predicted? Stock market prediction has attracted much attention from many fields including business, economics, statistics, and mathematics. Early research on stock market prediction was based on random walk theory (RWT) and the efficient market hypothesis (EMH). According to the EMH, stock market are largely driven by new information rather than present and past prices. Since it is unpredictable, stock market will follow a random walk. Even though these theories, Schumaker [2010] asserted that people keep trying to predict the stock market by using artificial intelligence, statistical estimates, and mathematical models. Mathematical approaches include Percolation Methods, Log-Periodic Oscillations and Wavelet Transforms to model future prices. Examples of artificial intelligence approaches that deals with optimization and machine learning are Genetic Algorithms, Support Vector Machines (SVM) and Neural Networks. Statistical approaches typically predicts the future by using past stock market data. Recently, financial engineers have started to predict the stock prices movement pattern by using the SNS data. SNS is the place where peoples opinions and ideas are freely flow and affect others' beliefs on certain things. Through word-of-mouth in SNS, people share product usage experiences, subjective feelings, and commonly accompanying sentiment or mood with others. An increasing number of empirical analyses of sentiment and mood are based on textual collections of public user generated data on the web. The Opinion mining is one domain of the data mining fields extracting public opinions exposed in SNS by utilizing data mining. There have been many studies on the issues of opinion mining from Web sources such as product reviews, forum posts and blogs. In relation to this literatures, we are trying to understand the effects of SNS exposures of firms on stock prices in Korea. Similarly to Bollen et al. [2011], we empirically analyze the impact of SNS exposures on stock return rates. We use Social Metrics by Daum Soft, an SNS big data analysis company in Korea. Social Metrics provides trends and public opinions in Twitter and blogs by using natural language process and analysis tools. It collects the sentences circulated in the Twitter in real time, and breaks down these sentences into the word units and then extracts keywords. In this study, we classify firms' exposures in SNS into two groups: positive and negative. To test the correlation and causation relationship between SNS exposures and stock price returns, we first collect 252 firms' stock prices and KRX100 index in the Korea Stock Exchange (KRX) from May 25, 2012 to September 1, 2012. We also gather the public attitudes (positive, negative) about these firms from Social Metrics over the same period of time. We conduct regression analysis between stock prices and the number of SNS exposures. Having checked the correlation between the two variables, we perform Granger causality test to see the causation direction between the two variables. The research result is that the number of total SNS exposures is positively related with stock market returns. The number of positive mentions of has also positive relationship with stock market returns. Contrarily, the number of negative mentions has negative relationship with stock market returns, but this relationship is statistically not significant. This means that the impact of positive mentions is statistically bigger than the impact of negative mentions. We also investigate whether the impacts are moderated by industry type and firm's size. We find that the SNS exposures impacts are bigger for IT firms than for non-IT firms, and bigger for small sized firms than for large sized firms. The results of Granger causality test shows change of stock price return is caused by SNS exposures, while the causation of the other way round is not significant. Therefore the correlation relationship between SNS exposures and stock prices has uni-direction causality. The more a firm is exposed in SNS, the more is the stock price likely to increase, while stock price changes may not cause more SNS mentions.

특허 인용 관계가 기업 성과에 미치는 영향 : 소셜네트워크분석 관점 (The Effect of Patent Citation Relationship on Business Performance : A Social Network Analysis Perspective)

  • 박준형;곽기영
    • 지능정보연구
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    • 제19권3호
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    • pp.127-139
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    • 2013
  • 최근 지식기반 사회의 진입과 더불어 지식재산에 대한 관심이 증가하고 있다. 특히 하이테크산업을 이끌고 있는 ICT기업들은 지식재산의 체계적 관리를 위하여 끊임없이 노력하고 있다. 기업의 지적 자본을 대표하는 특허정보가 지속적으로 축적됨에 따라 정량적인 분석이 가능해졌다. 특허정보를 통하여 특허수준부터 기업수준, 산업수준, 국가 수준에 이르기 까지 다양한 수준에서의 분석이 가능하다. 특허정보는 기술 현황을 파악하거나 성과에 미치는 영향을 분석하는데 활용되고 있다. 특허 인용 정보를 활용한 분석은 크게 두 가지로, 인용 횟수를 활용하는 인용지표 분석과 인용관계를 바탕으로 한 네트워크분석으로 나뉜다. 네트워크를 통한 분석은 지식 영향의 흐름을 나타내며, 이를 통하여 기술의 변화를 확인할 수 있을 뿐만 아니라 앞으로의 연구 방향을 예측할 수 있다. 네트워크를 활용한 분석 분야에서는 기업이 차지하는 네트워크상에서의 위치가 기업성과에 미치는 영향을 다각도에서 분석하는 연구가 진행되고 있다. 본 연구에서는 소셜네트워크분석 기법을 활용하여 특허 인용을 기반으로 한 기업 간의 네트워크를 도출하고 특허 인용 네트워크에서 차지하는 기업의 위치적 특성이 기업성과에 미치는 영향을 분석하였다. 이를 위해 미국 S&P500에 등록된 IT 및 통신서비스 기업 가운데 74개 기업을 표본으로 선정하였다. 소셜네트워크분석을 통하여 개별 기업들의 아웃디그리 중심성, 매개 중심성, 효율성(구조적 공백)을 측정하여 네트워크 상에서의 위치적 우위를 나타내는 독립변수로서 이용하였으며, 기업성과 변수로는 순이익을 사용하였다. 실증 분석 결과, 각각의 네트워크 지표는 기업성과인 순이익에 통계적으로 유의한 영향을 미치는 것으로 나타났다. 두 가지 중심성 지표는 기업성과에 정(+)의 영향을 미친 반면, 구조적 공백으로 인한 위치적 우위를 나타내는 효율성은 기업성과에 부정적(-)인 영향을 미치는 것으로 나타났다. 세 가지 네트워크 지표를 동시에 고려할 경우에는 매개 중심성만이 기업성과에 대해 통계적 유의성을 보였다. 분석 결과를 토대로 연구의 발견점을 토의하고 시사점을 논의하였다.

중소기업의 국제화 결정요인이 국제화 성과에 미치는 영향 - 대구.경북지역의 수출중소기업을 중심으로 - (The Impacts of Internationalization Determinants of Exporting SMEs in Daegu & Gyeongbuk on Internationalization Performance)

  • 이희용;윤정현;여택동
    • 통상정보연구
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    • 제13권4호
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    • pp.435-462
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    • 2011
  • 우리나라는 수출 지향적 국가이며, 그로 인해 국제화를 목표로 창업하자마자 국제화를 추진하는 수출중소기업에 대한 관심이 높아지고 있다. 수출중소기업들은 제한된 자원에도 불구하고 국제시장에서 성공적으로 진출하여 성과를 올리고 있다. 하지만, 좀 더 효과적인 국제화를 위해서는 정부가 제공하는 수출지원제도가 반드시 필요하다. 이에 본 연구에서는 317개 수출중소기업을 대상으로 국제화 성과결정요인과 국제화 성과, 그리고 수출지원제도 간의 관계를 중심으로 가설과 연구모형을 개발하였다. 가설을 검증한 결과, 연구개발능력, 글로벌지향성, 해외시장환경, 기술역량, 기술모방성 등이 국제화 성과에 유의한 영향을 미쳤다. 다음으로 시장정보관리와 수출지원제도 상호작용을 포함한 연구개발능력, 경영관리능력, 해외시장환경, 그리고 기술역량과 수출지원제도 간의 상호작용만이 국제화 결정요인과 국제화 성과 간의 관계를 조절해주었다.

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콜 대리업체 서비스에서 O2O 방식이 적용된 대리운전 사업 모델로의 소비자 전환 의도에 관한 연구: 카카오 드라이버를 중심으로 (Factors which Influence Customers' Intention to Switch from Call-Based Driver-for-hire Services to App-Based Driver-for-hire Services Based on Online to Offline (O2O) Business Model: Focusing on Kakao Driver service)

  • 김대원;정혜승
    • 한국전자거래학회지
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    • 제21권3호
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    • pp.51-78
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    • 2016
  • O2O(online to offline)가 온라인 상거래(e-commerce)의 새로운 트렌드가 되면서, 다채로운 분야에서 O2O와 기존 산업 간의 결합이 진행되고 있다. 본 연구에서는 이 중 대리운전 산업과 O2O 방식이 접목된 서비스(앱 대리)에 대한 소비자 수용 의사를 탐색했다. 구체적으로 본 연구에서는 기존의 대리운전 서비스 방식인 콜 대리 서비스(콜 대리)에서 O2O 방식이 접목된 앱 대리로의 소비 전환의도를 발생시키는 기제를 확인하고자 했다. 소비전환 의도에 대한 이론적 논의와 확장된 통합기술 수용이론을 토대로 변인을 도출하고, 설문 문항을 고안했다. 설문 조사는 기존의 콜 대리 서비스 경험을 보유한 500명을 대상으로 실시됐다. 연구 결과, 기존의 대리운전 서비스 체계인 콜 대리에 대한 불만족은 콜 대리에서 앱 대리로의 소비 전환의도를 높이는 요인으로 확인됐다. 콜 대리에 대한 충성도와 콜 대리에서 앱 대리로의 전환비용은 콜 대리에 대한 불만족과 콜 대리에서 앱 대리로의 소비 전환 의도 간 관계에서 조절변인으로서 기능을 하지 못하는 것으로 나타났다. 앱 대리 사용 시 기대되는 효과, 앱 대리 사용 과정의 편의성, 앱 대리 사용 과정에서 확보될 수 있는 도움이나 앱 대리 사용에 대한 사용자 개인의 지식의 정도, 그리고 앱 대리의 소비자 가격의 합리성에 대한 기대가 콜 대리에서 앱 대리로의 소비 전환 의도를 제고하는 요인으로서 유의한 영향을 미치는 것으로 확인됐다. 성별, 연령, 그리고 앱 대리 사용 경험은 전술한 앱 대리 선택에 영향을 미치는 요인과 앱 대리로의 소비전환 의도 간의 관계에서 조절 효과요인으로서는 유의하지 못한 것으로 파악됐다.

소매업태의 지각된 서비스 편의성이 서비스 성과에 미치는 영향: 백화점과 종합슈퍼마켓간 차이를 중심으로 (Effects of Consumers' Perceived Service Convenience: Differences between Department Stores and General Super Markets)

  • 김미정;박철주
    • 유통과학연구
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    • 제13권2호
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    • pp.85-94
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    • 2015
  • Purpose - This study attempts to examine the impacts of consumers' perceived service convenience of retailers on various service performance metrics such as service quality and customer satisfaction. It also tries to investigate differences in the importance of service convenience dimensions on service performance between a department store and a general super market. Research design, data, and methodology - The four hypotheses in this study were proposed and tested. Two hypotheses were on the causal relationships between service convenience dimensions and service performances (service quality and customer satisfaction). The other two hypotheses were on comparisons for the effects of convenience dimensions on service quality and customer satisfaction between department stores and general super markets. To test the hypotheses, three department store chains (Hyundai, Lotte, and Shinsegae department Store) and three general super markets (E-mart, Homeplus, and Lotte mart) were involved. Overall, 510 usable responses were used. The data were analyzed using regression analysis. Results - The results largely support the hypothesized relationships of the proposed model. The results show that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive influences on service quality, whereas decision convenience, access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive effects on customer satisfaction. Furthermore, the results show that there are differences between department stores and general super markets in the effects of benefit convenience and post-benefit convenience on service quality as well as the effects of transaction convenience and post-benefit convenience on customer satisfaction. Conclusions - The concept of service convenience is important in retail environments but little is known about this topic in retail literature. Specially, while service convenience dimensions have different impacts on service performance in distinct retail environments, there has been little investigation or comparison between retail types as regards service convenience. This study is the first to test the differences between distinct retail types (department stores and general super markets) on the service convenience-service performance links. Managerially, the findings of this study suggest that the service convenience management of retailers is an important part of successful service performance management. Because it is most important that both department stores and general super markets enhance benefit convenience to improve service performance, managers of both store types need to invest their resources to reduce consumers' perceived time and effort expenditures to experience the retailer's core benefits. Therefore, the results of this study suggest that retail stores should spend human and financial resources to enhance customer perceptions of service convenience, while also considering what constitutes the service outcome in the consumer's mind. Furthermore, the findings suggest that managers need to use different service convenience management tactics in department stores and general super markets. Specifically, managers in general super markets should pay more attention to benefit convenience and transaction convenience to achieve better service performance whereas managers in department stores should concentrate on post-benefit convenience to create customers' positive evaluation.

Estimating milk production losses by heat stress and its impacts on greenhouse gas emissions in Korean dairy farms

  • Geun-woo, Park;Mohammad, Ataallahi;Seon Yong, Ham;Se Jong, Oh;Ki-Youn, Kim;Kyu-Hyun, Park
    • Journal of Animal Science and Technology
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    • 제64권4호
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    • pp.770-781
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    • 2022
  • Meteorological disasters caused by climate change like heat, cold waves, and unusually long rainy seasons affect the milk productivity of cows. Studies have been conducted on how milk productivity and milk compositions change due to heat stress (HS). However, the estimation of losses in milk production due to HS and hereby environmental impacts of greenhouse gas (GHG) emissions are yet to be evaluated in Korean dairy farms. Dairy milk production and milk compositions data from March to October 2018, provided by the Korea Dairy Committee (KDC), were used to compare regional milk production with the temperature-humidity index (THI). Raw data for the daily temperature and relative humidity in 2018 were obtained from the Korea Meteorological Administration (KMA). This data was used to calculate the THI and the difference between the maximum and minimum temperature changing rate, as the average daily temperature range, to show the extent to which the temperature gap can affect milk productivity. The amount of milk was calculated based on the price of 926 won/kg from KDC. The results showed that the average milk production rate was the highest within the THI range 60-73 in three regions in May: Chulwon (northern region), Hwasung (central region), and Gunwi (southern region). The average milk production decreased by 4.96 ± 1.48% in northern region, 7.12 ± 2.36% in central region, and 7.94 ± 2.57% in southern region from June to August, which had a THI range of 73 or more, when compared to May. Based on the results, the level of THI should be maintained like May. If so, the farmers can earn a profit of 9,128,730 won/farm in northern region, 9,967,880 won/farm in central region, and 12,245,300 won/farm in southern region. Additionally, the average number of cows raised can be reduced by 2.41 ± 0.35 heads/farm, thereby reducing GHG emissions by 29.61 ± 4.36 kg CO2eq/day on average. Overall, the conclusion suggests that maintaining environmental conditions in the summer that are similar to those in May is necessary. This knowledge can be used for basic research to persuade farmers to change farm facilities to increase the economic benefits and improve animal welfare.

지속적 제품관여도와 소비자 요구신뢰수준 간의 영향관계: 인지된 위험의 매개 역할에 대한 실증분석을 중심으로 (The Mediating Role of Perceived Risk in the Relationships Between Enduring Product Involvement and Trust Expectation)

  • 홍일유;김태하;차훈상
    • Asia pacific journal of information systems
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    • 제23권4호
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    • pp.103-128
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    • 2013
  • When a consumer needs a product or service and multiple sellers are available online, the process of selecting a seller to buy online from is complex since the process involves many behavioral dimensions that have to be taken into account. As a part of this selection process, consumers may set minimum trust expectation that can be used to screen out less trustworthy sellers. In the previous research, the level of consumers' trust expectation has been anchored on two important factors: product involvement and perceived risk. Product involvement refers to the extent to which a consumer perceives a specific product important. Thus, the higher product involvement may result in the higher trust expectation in sellers. On the other hand, other related studies found that when consumers perceived a higher level of risk (e.g., credit card fraud risk), they set higher trust expectation as well. While abundant research exists addressing the relationship between product involvement and perceived risk, little attention has been paid to the integrative view of the link between the two constructs and their impacts on the trust expectation. The present paper is a step toward filling this research gap. The purpose of this paper is to understand the process by which a consumer chooses an online merchant by examining the relationships among product involvement, perceived risk, trust expectation, and intention to buy from an e-tailer. We specifically focus on the mediating role of perceived risk in the relationships between enduring product involvement and the trust expectation. That is, we question whether product involvement affects the trust expectation directly without mediation or indirectly mediated by perceived risk. The research model with four hypotheses was initially tested using data gathered from 635 respondents through an online survey method. The structural equation modeling technique with partial least square was used to validate the instrument and the proposed model. The results showed that three out of the four hypotheses formulated were supported. First, we found that the intention to buy from a digital storefront is positively and significantly influenced by the trust expectation, providing support for H4 (trust expectation ${\rightarrow}$ purchase intention). Second, perceived risk was found to be a strong predictor of trust expectation, supporting H2 as well (perceived risk ${\rightarrow}$ trust expectation). Third, we did not find any evidence of direct influence of product involvement, which caused H3 to be rejected (product involvement ${\rightarrow}$ trust expectation). Finally, we found significant positive relationship between product involvement and perceived risk (H1: product involvement ${\rightarrow}$ perceived risk), which suggests that the possibility of complete mediation of perceived risk in the relationship between enduring product involvement and the trust expectation. As a result, we conducted an additional test for the mediation effect by comparing the original model with the revised model without the mediator variable of perceived risk. Indeed, we found that there exists a strong influence of product involvement on the trust expectation (by intentionally eliminating the variable of perceived risk) that was suppressed (i.e., mediated) by the perceived risk in the original model. The Sobel test statistically confirmed the complete mediation effect. Results of this study offer the following key findings. First, enduring product involvement is positively related to perceived risk, implying that the higher a consumer is enduringly involved with a given product, the greater risk he or she is likely to perceive with regards to the online purchase of the product. Second, perceived risk is positively related to trust expectation. A consumer with great risk perceptions concerning the online purchase is likely to buy from a highly trustworthy online merchant, thereby mitigating potential risks. Finally, product involvement was found to have no direct influence on trust expectation, but the relationship between the two constructs was indirect and mediated by the perceived risk. This is perhaps an important theoretical integration of two separate streams of literature on product involvement and perceived risk. The present research also provides useful implications for practitioners as well as academicians. First, one implication for practicing managers in online retail stores is that they should invest in reducing the perceived risk of consumers in order to lower down the trust expectation and thus increasing the consumer's intention to purchase products or services. Second, an academic implication is that perceived risk mediates the relationship between enduring product involvement and trust expectation. Further research is needed to elaborate the theoretical relationships among the constructs under consideration.

중국 온라인 게임의 컨텐츠와 브랜드관련 요인이 향후 이용의도에 미치는 영향에 관한 실증적 연구 (An Empirical Study for Testing the Effect of Game Contents and Brand-related Factors upon the Players' Intention to Play on-line Games : China Experiences)

  • 엄명용;정재진;김태웅
    • 무역상무연구
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    • 제23권
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    • pp.3-38
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    • 2004
  • On-line game business has emerged as the most lucrative entertainment industry, with over 4 million players in China, with more than 45% of the market dominated by Korean on-line games. While the interactive entertainment market continues to expand, with many new Korean on-line game publishers entering the market, relatively little is known about which factors influence online game players' behavioral intentions (i.e., intention to play, brand-identity, word of mouth, flow, etc.) in this area. It appears that in this extremely attractive and growing services segment, academics, as well as practitioners, would benefit from investigating the relationships among the players' intention to play, social norms, word of mouth, flow, and the impacts of several other key game-related constructs. A conceptual framework is proposed and a simultaneous equation model is developed. This paper develops the exploratory LISREL model for identifying the factors affecting the players' intention to play for on-line games. Based on data collected from on-line questionnaire survey in China, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between the game-related constructs. It is hoped that this result might provide the useful guidelines for developing the successful on-line game contents. With better understanding of the players' behavioral intentions, Korean on-line game developers should be able to penetrate the China market with sustainable advantage over their competition.

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