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Measuring Information Technology(IT) organizations’ activities have been limited to mainly measure financial indicators for a long time. However, according to the multifarious functions of Information System, a number of researches have been done for the new trends on measurement methodologies that come with financial measurement as well as new measurement methods. Especially, the researches on IT Balanced Scorecard (BSC), concept from BSC measuring IT activities have been done as well in recent years. BSC provides more advantages than only integration of non-financial measures in a performance measure-ment system. The core of BSC rests on the cause-and-effect relationships between measures to allow pre-diction of value chain performance measures to allow prediction of value chain performance measures, communication, and realization of the corporate strategy and incentive controlled actions. More recently, BSC proponents have focused on the need to tie measures together into a causal chain of performance, and to test the validity of these hypothesized effects to guide the development of strategy. Kaplan and Norton[2001] argue that one of the primary benefits of the balanced scorecard is its use in gauging the success of strategy. Norreklit[2000] insist that the cause-and-effect chain is central to the bal-anced scorecard.The cause-and-effect chain is also central to the IT BSC. However, prior researches on relationship be-tween information system and enterprise strategies as well as connection between various IT performance measurement indicators are not so much studied. Ittner et al.[2003] report that 77% of all surveyed companies with an implemented BSC place no or only little interest on soundly modeled cause-and-effect relationships despite of the importance of cause-and- effect chains as an integral part of BSC. This shortcoming can be explained with one theoretical and one practical reason[Blumenberg and Hinz, 2006]. From a theoretical point of view, causalities within the BSC method and their application are only vaguely described by Kaplan and Norton. From a practical consideration, modeling corporate causalities is a complex task due to tedious data acquisition and following reliability maintenance.However, cause-and effect relationships are an essential part of BSCs because they differentiate performance measurement systems like BSCs from simple key performance indicator(KPI) lists. KPI lists present an ad-hoc collection of measures to managers but do not allow for a comprehensive view on corporate performance. Instead, performance measurement system like BSCs tries to model the relationships of the underlying value chain in cause-and-effect relationships.Therefore, to overcome the deficiencies of causal modeling in IT BSC, sound and robust causal modeling approaches are required in theory as well as in practice for offering a solution.The propose of this study is to suggest critical success factors(CSFs) and KPIs for measuring performance for IT organizations and empirically validate the casual relationships between those CSFs.For this purpose, we define four perspectives of BSC for IT organizations according to Van Grembergen’s study[2000] as follows. The Future Orientation perspective represents the human and technology resources needed by IT to deliver its services. The Operational Excellence perspective represents the IT processes employed to develop and deliver the applications. The User Orientation perspective represents the user evaluation of IT. The Business Contribution perspective captures the business value of the IT investments.Each of these perspectives has to be translated into corresponding metrics and measures that assess the current situations. This study suggests 12 CSFs for IT BSC based on the previous IT BSC’s studies and COBIT 4.1. These CSFs consist of 51 KPIs. We defines the cause-and-effect relationships among BSC CSFs for IT Organizations as follows.The Future Orientation perspective will have positive effects on the Operational Excellence perspective. Then the Operational Excellence perspective will have positive effects on the User Orientation perspective. Finally, the User Orientation perspective will have positive effects on the Business Contribution perspective.This research tests the validity of these hypothesized casual effects and the sub-hypothesized causal relationships. For the purpose, we used the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) for analyzing multiple IT BSC CSFs. The PLS path modeling has special abilities that make it more appropriate than other techniques, such as multiple regression and LISREL, when analyzing small sample sizes. Recently the use of PLS path modeling has been gaining interests and use among IS researchers in recent years because of its ability to model latent constructs under conditions of nonormality and with small to medium sample sizes(Chin et al., 2003).The empirical results of our study using PLS path modeling show that the casual effects in IT BSC significantly exist partially in our hypotheses.

본 연구는 심각해지는 대기 중 미세먼지 현실에 따라 우리나라 사람들의 미세먼지 관련 건강 인식과 행동 에 대해 탐색하였다. 개인 위생적 차원에서 미세먼지에 대한 우리나라 사람들의 인식과 건강행동 사이의 관계를 탐색하기 위해 개인의 건강 인식과 관련 있는 다차원 건강통제소재, 질병에 대한 취약성과 심각성 지각 및 건강행동 의도 사이의 구조적 관계를 분석하였다. 다차원 건강통제소재의 3가지 성향 중 내적 성향을 제외한 우연성향과 타인 의존성향이 취약성과 심각성 지각에 영향을 미치고 있었고, 두 변인은 다시 미세먼지로 인한 질병 예방행동의도에 긍정적인 영향을 미치고 있었다. 이러한 결과에 따라 미세먼지 관련 질병 예방행동을 장려하기 위해 정확한 정보를 시의성 있게 제공하고 피해 최소화를 위한 방안을 제안하여 미세먼지에 대한 막연한 공포감이나 불확실성을 제거하 고 이를 통해 내적 통제소재화를 자극할 수 있도록 독려할 필요가 있다. 끝으로 후속연구를 위한 제언을 제안했다.

This study explored relationships between health perception and behavior of Korean relevant to particulate matter(PM) as PM in the atmosphere getting worse. To investigate the relationship in the personal hygiene dimension, we analysed the structural relationships among multi-dimensional health locus of control, perceived susceptibility and severity, and health behavior intention. Except internal among three tendencies of multi-dimensional health locus of control, chance and powerful other had an effect on perceived susceptibility and severity, respectively. Perceived susceptibility and severity also had a positive effect on the intention. Thus, to facilitate PM-related disease prevention, timely and reliable information should be supplied with the solution for lessening damage from PM, and then training for internalizing locus of control should be encouraged through eliminating fear and uncertainty. Finally, we discussed suggestions for future study.

소셜 커머스는 최근 부상하고 있는 혁신적인 전자상거래로 전통적인 오프라인 상거래의 대안이 될 것으로 보인다. 이는 웹 2.0 기술을 기반으로 하는 소셜 네트워크 서비스에 상거래가 결합한 현상이다. 본 논문은 한국 대학생들의 소셜커머스 행위를 사회적 영향력(Social Influence)으로 확장한 기술수용모형(Technology Acceptance Model)을 통해 분석하였다. 본 연구는 SmartPLS 2.0 M3 패캐지를 이용한 PLS Path Modeling 기법을 통해 제안된 모든 가설이 유의하다는 것을 확인하였다. 이러한 결과는 TAM의 설명력과 예측력을 높이기 위해서 SI를 이용하여 이론적으로 확장하는 것이 타당하며, 관련 업계의 성과를 높이기 위해서 SI를 실무적으로도 고려할 필요가 있음을 입증하였다. 마지막으로 미래 연구를 위한 제안을 제시하였다.

The social commerce is an innovative and emerging transaction. It is the result of combination with transaction and social media technology. This study analyzes Korean college students’ social commerce behavior through extending technology acceptance model(TAM) with social influence(SI). We confirmed all proposed hypotheses are significant and supported by the given data through PLS path modeling method with SmartPLS. It indicates that SI is an important factor influencing intention to use, so SI should be consider for theorists to enhance explanation and prediction of TAM and for practitioners to earn higher performances as well. Finally, based on the findings, suggestions for future studies are discussed.

대졸자의 취업난은 심각한 사회문제로 확산되고 있으며, 학생들이 취업에 대한 고민과 스트레스 가 어느 정도인지는 여러 매체 등을 통하여 전해지고 있다. 현재 전문 포털사이트를 비롯한 기업 및 기관들은 다양한 취업정보를 제공하는 웹사이트를 운영하고 있으나, 취업 희망자들의 서비스 욕구를 충족시키기에는 충분하지 못한 실정이며, 오히려 불만족을 유발하는 요소들이 나타나고 있다. 그럼에 도 불구하고 취업정보를 제공하고 있는 전문 웹사이트의 서비스품질을 체계적, 실증적으로 다루고 신 뢰, 고객만족, 충성도 등에 대한 인과적인 연구는 찾아보기가 어렵다. 이에 본 연구는 기존 연구와 실 증적 연구를 통해 취업정보사이트의 웹서비스 품질 요인을 정의하고, 웹서비스 품질, 신뢰성, 만족도, 충성도의 구성개념들을 추출하여 이들 간의 인과관계를 증명함과 더불어 각 경로별 인과관계의 영향 력 차이를 통해 충성도의 중요성을 발견하여 취업정보사이트를 운영하는 기업 및 기관들이 보다 강화 된 취업정보서비스 제공을 위한 유용한 시사점을 제공하고자 한다.

College students looking for work are being spread as a serious social problem. Multiple media cover a lot worries and stress for the employment of students. Including the current professional portal companies and agencies are operating a website that provides a range of professional information. However, customers are not satisfied with information about career services. Rather, it appears that factors that cause dissatisfaction. Nevertheless, dealing with the quality of service of a professional website that provides professional information systematically reliability, customer satisfaction, and causal research associated with customer loyalty is difficult to browse. This study was defined as the existing empirical research Web service quality factors of career information through the site to extract the Web service quality, construct reliability, satisfaction, and loyalty demonstrated a causal relationship between them. And to provide a useful implications for companies and organizations to work more enhanced information services pro-vided through the influence of the difference between cause and effect of each route discovery of the importance of loyalty to operate the Jobs site.

스마트폰의 급격한 확산은 다양한 측면에서 부작용과 우려를 낳고 있다. 특히 초등학생의 스마트폰 중독 현상은 학부모나 선생님 등에 의해서 많은 관심을 끌고 있는 최근에 나타나고 있는 현상이다. 본 연구는 기존 연구검토를 통해 초등학생의 스마트폰 중독에 우울증이 영향을 미치고 우울증과 스마트폰 중독은 학교생활만족도에 영향을 미친다는 가정을 설정하고, 이를 Partial Least Square(PLS) 경로모형으로 검정하였다. 연구결과 우울증은 스마트폰 중독에 긍정적(+) 영향을 미쳤고 학교생활만족도에는 부정적(-) 영향을 미쳤다. 그리고 스마트폰 중독은 학교생활만족도에 부정적인(-) 영향을 미치는 것으로 나타났다. 따라서 어린이의 스마트폰 중독 예방과 학교생활만족도를 높이기 위해 우울 성향을 감소시킬 수 있는 가족과 학교 당국의 적절한 방안을 강구해야 한다.

The spread of smartphone in Korea causes several side effects and raises concerns. Especially, recently the addiction to smartphone of elementary school children has been paid attention to by their parents, teachers, and so on. After literature review, this research presented hypotheses that depression would affect children's addiction to smartphone positively and school life satisfaction (SLS) negatively, in turn their addiction to smartphone would affect SLS negatively. We employed Partial Least Square (PLS) path modeling to test the hypotheses. We found that all hypotheses were supported. The findings of this study suggest that their families and school authorities should make valid measures to lessen children's depression for preventing addicting to smartphone and, in turn, increasing SLS.

청소년들은 상당한 수준의 인터넷 이용기술을 보유하고 광범위하게 인터넷을 이용하고 있지만, 성인에 비해 성 경험이 많지 않아 성에 대한 올바른 시각을 갖기 어렵다. 이러한 특징으로 인해 인터넷 음란물은 청소년의 성행태 에 심각한 폐해를 야기할 수 있다. 이러한 문제의식에서 본 연구는 청소년이 평소에 갖고 있는 성정향성, 인터넷 음 란물 노출 및 노출 후 행태 사이의 인과관계 구조를 PLS 구조모형 분석으로 탐색하였다. 분석결과 음란물 노출에 남 성중심주의적 성정향성과 음란물 허용적 성정향성이 영향을 미치고 있었다. 또한 인터넷 음란물 노출은 성충동과 성 행동에 직접적인 영향을 미치고 있었고, 성충동을 매개로 성행동에 간접적인 영향을 미치고 있었다. 본 연구의 의의 는 기존연구에서 인터넷 음란물 노출의 종속변인으로 취급되었던 변인들을 성정향성으로 재개념화하여 인터넷 음란 물의 예측변인임을 확인하였다는 점과 청소년의 인터넷 음란물 접촉이 성충동을 자극하여 성행동에 영향을 미치고 종국에는 성범죄를 유발할 수 있다는 사회통념을 간접적으로 확인하였다는 것이다.

Though adolescents have the skillful ability to use internet and use it extensively, they have experienced sexually less than adults and are hard to have the right viewpoint toward sexuality. Because of these adolescents’ characteristics, internet pornography cause them serious troubles with their sexual behavior. Based on the viewpoint, this research explores structural relationship among their sexual orientations, exposure to internet pornography, the sexual drive and behavior with PLS path modeling analysis. In result, androcentric and pornography-friendly sexual orientation have an influence on the exposure to internet pornography, in turn, the exposure to internet pornography affect the sexual drive and behavior directly and sexual behavior indirectly mediated by the drive. The significance of this research is to identify fact that sexual orientations, reconceptionalized from previous researches’s dependent variables, predict the exposure to internet pro-pornographic and is to identify a popular myth indirectly that the exposure to internet pornography stimulates sexual drive to cause behavior, in turn leads to sex crimes finally.

This paper focuses on competencies of data scientists and behavioral intention that affect big data analysis performance. This experiment examined nine core factors required by data scientists. In order to investigate this, we conducted a survey to gather data from 103 data scientists who participated in big data competition at Kaggle platform and used factor analysis and PLS-SEM for the analysis methods. The results show that some key competency factors have influential effect on the big data analysis performance. This study is to provide a new theoretical basis needed for relevant research by analyzing the structural relationship between the individual competencies and performance, and practically to identify the priorities of the core competencies that data scientists must have.