• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.151-171
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• 2014

Firms today have sought management effectiveness and efficiency utilizing information technologies (IT). Numerous firms are outsourcing specific information systems functions to cope with their short of information resources or IT experts, or to reduce their capital cost. Recently, Software-as-a-Service (SaaS) as a new type of information system has become one of the powerful outsourcing alternatives. SaaS is software deployed as a hosted and accessed over the internet. It is regarded as the idea of on-demand, pay-per-use, and utility computing and is now being applied to support the core competencies of clients in areas ranging from the individual productivity area to the vertical industry and e-commerce area. In this study, therefore, we seek to quantify the value that SaaS has on business performance by examining the relationships among firm strategies, SaaS technology maturity, and business performance of SaaS providers. We begin by drawing from prior literature on SaaS, technology maturity and firm strategy. SaaS technology maturity is classified into three different phases such as application service providing (ASP), Web-native application, and Web-service application. Firm strategies are manipulated by the low-cost strategy and differentiation strategy. Finally, we considered customer acquisition as a business performance. In this sense, specific objectives of this study are as follows. First, we examine the relationships between customer acquisition performance and both low-cost strategy and differentiation strategy of SaaS providers. Secondly, we investigate the mediating and moderating effects of SaaS technology maturity on those relationships. For this purpose, study collects data from the SaaS providers, and their line of applications registered in the database in CNK (Commerce net Korea) in Korea using a questionnaire method by the professional research institution. The unit of analysis in this study is the SBUs (strategic business unit) in the software provider. A total of 199 SBUs is used for analyzing and testing our hypotheses. With regards to the measurement of firm strategy, we take three measurement items for differentiation strategy such as the application uniqueness (referring an application aims to differentiate within just one or a small number of target industry), supply channel diversification (regarding whether SaaS vendor had diversified supply chain) as well as the number of specialized expertise and take two items for low cost strategy like subscription fee and initial set-up fee. We employ a hierarchical regression analysis technique for testing moderation effects of SaaS technology maturity and follow the Baron and Kenny's procedure for determining if firm strategies affect customer acquisition through technology maturity. Empirical results revealed that, firstly, when differentiation strategy is applied to attain business performance like customer acquisition, the effects of the strategy is moderated by the technology maturity level of SaaS providers. In other words, securing higher level of SaaS technology maturity is essential for higher business performance. For instance, given that firms implement application uniqueness or a distribution channel diversification as a differentiation strategy, they can acquire more customers when their level of SaaS technology maturity is higher rather than lower. Secondly, results indicate that pursuing differentiation strategy or low cost strategy effectively works for SaaS providers' obtaining customer, which means that continuously differentiating their service from others or making their service fee (subscription fee or initial set-up fee) lower are helpful for their business success in terms of acquiring their customers. Lastly, results show that the level of SaaS technology maturity mediates the relationships between low cost strategy and customer acquisition. That is, based on our research design, customers usually perceive the real value of the low subscription fee or initial set-up fee only through the SaaS service provide by vender and, in turn, this will affect their decision making whether subscribe or not.

• Journal of Bio-Environment Control
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• v.21 no.3
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• pp.243-246
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• 2012

The study was aimed at the development of the simple linear regression model to estimate the fruit yield of sweet pepper and to support decision-making management for growing sweet pepper crop in Korea. For quantitative analysis of relationship between environmental data and periodical yield of sweet pepper the data obtained from the commercial Venlo-type glasshouse for 2 years. Obtained periodical yield data of five different cultivars and radiation data were accumulated and fitted by linear regression. A significant linear relationship was found between radiation integral and fruit yield, whereas the production per unit of radiation was different between cultivars. The slope of linear regression could indicate as light use efficiency for fruit production ($LUE_F$, $g{\cdot}MJ^{-1}$). $LUE_F$ of 'Ferrari' was $5.85g{\cdot}MJ^{-1}$, 'Fiesta' 5.32 for first year and $4.75g{\cdot}MJ^{-1}$ and for second year, 'President' was $4.66g{\cdot}MJ^{-1}$, 'Cupra' was $3.86g{\cdot}MJ^{-1}$, and 'Boogie' was $6.48g{\cdot}MJ^{-1}$. The amount of light requirement for the unit gram of fruit was between $25.88J{\cdot}g^{-1}$, for 'Cupra' and $15.42J{\cdot}g^{-1}$ for 'Boogie'. Although we found the linear relationship between radiation and fruit yield, $LUE_F$ was varied between cultivars and as well as year. The linear relationship could describe the fruit yield as function of radiation, but it needed more variable to generalization of the production, such as cultivar specifications, temperature, and number of fruits set per plant or unit of ground.

• Journal of Korean Home Economics Education Association
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• v.27 no.4
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• pp.121-140
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• 2015

The purposes of this study were to analyze the duplicated contents of 'Consumer life' area of Technology & Home Economics and other subject textbooks for the middle and high school students. It focused on textbooks compiled following the 2009 revised curriculum. To achieve the purposes of this study, "Technology & Home Economics I II", "Social studies I II", and "Ethics I II"textbooks for middle school and "Technology & Home Economics", "Social studies", and "Life & Ethics" textbooks for high school were analyzed based on the criteria for analyses of 'Consumer life' area. The results were as follows. First, the analysis of duplicated contents in Technology & Home Economics and other subjects (Ethics, Social studies) for middle school revealed that Technology & Home Economics textbook had the most proportion of 'Consumer Life' area, followed by Social studies and Ethics. The duplicated content elements in Technology & Home Economics, Ethics, and Social studies textbooks for middle school were 'consumer decision making', 'consumer information', 'economic impact of consumption', 'food life and sustainability', and 'consumption and sustainability'. Secondly, as a result of the content analysis of textbooks for high school Technology & Home Economics, Social studies, and Life & Ethics according to the criteria of analysis, it was found that Technology & Home Economics textbook had the most proportion of 'Consumer Life' area, followed by Life & Ethics and Social studies. The "content elements" 'food life management and consumption environment', 'desire of consumption', 'economic impact of consumption', 'changing factors and characteristics of consumer culture', and 'consumption and sustainability' were commonly found in all three textbooks. In this way, the 'Consumer life' area of Technology & Home Economics is thought to play a central role in teaching the 'Consumer Life' area because of its strength that contains detailed contents about consumer life for adolescent consumers who will apply it to everyday life. Based on the result of this research, it is needed to consider articulation of 'Consumer life' area of secondary schools for the future curriculum development of Technology & Home Economics to reduce the duplicated contents and to help the adolescents develop the ability to solve consumption problems they may encounter in real life and grow up to be rational adult consumers.

• Information Systems Review
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• v.16 no.2
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• pp.1-23
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• 2014

With side effects such as Phishing and Spam using personal information in Social Network Service, there is a growing need for studies related to harmful behaviors such as the reason for privacy violation. As such, this study assumed privacy violation to be ethical decision, making behavior and used the Theory of Planned Behavior and Motivation Theory, which are mostly used in social science to identify the factors affecting privacy violation. The results suggested that the Perceived Enjoyment and Punishment used in motivation studies affected privacy violation behaviors, and that the factors of the Theory of Planned Behavior such as Attitude toward Privacy Violation, Subjective Norms of Privacy Violation, and Perceived Behavioral Control with regard to Privacy Violation significantly influenced the Intention to Privacy Violation. On the other hand, Perceived Curiosity and Subjective Norms of Privacy Violation did not affect the Intention to Privacy Violation. Therefore, this study confirmed that the Theory of Planned Behavior was appropriate to explain the Intention to Privacy Violation, and that the variables of the Motivation Theory generally influenced the Attitude toward Privacy Violation. This study was significant since it extended the scope of theoretical privacy study from users and victims centered to inflictor and applied the Extended Theory of Planned Behavior using the variables of the Motivation Theory in the study of Intention to Privacy Violation. From the practical aspect, it provided the ground for privacy education based on the fact that the Attitude toward Privacy Violation can be curbed when education on the Privacy Concerns, Perceived Enjoyment, and Punishment with regard to privacy is strengthened. It also cited the need for the punishment of privacy violation and the practical ground to amend the terms and conditions of user license and Personal Information Protection Act to provide policy support.

• Journal of Environmental Impact Assessment
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• v.27 no.2
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• pp.124-138
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• 2018

This research was conducted to examine the availability of spatial data for assessing absorption rates of $CO_2$ in the forest of Ansan-si and evaluate the validity of methods that analyze $CO_2$ absorption. To statistically assess the $CO_2$ absorption rates per year, the 1:5,000 Digital Forest-Map (Lim5000) and Standard Carbon Removal of Major Forest Species (SCRMF) methods were employed. Furthermore, Land Cover Map (LCM) was also used to verify $CO_2$ absorption rate availability per year. Great variations in $CO_2$ absorption rates occurred before and after the year 2010. This was due to improvement in precision and accuracy of the Forest Basic Statistics (FBS) in 2010, which resulted in rapid increase in growing stock. Thus, calibration of data prior to 2010 is necessary, based on recent FBS standards. Previous studies that employed Lim5000 and FBS (2015, 2010) did not take into account the $CO_2$ absorption rates of different tree species, and the combination of SCRMF and Lim5000 resulted in $CO_2$ absorption of 42,369 ton. In contrast to the combination of SCRMF and Lim5000, LCM and SCRMF resulted in $CO_2$ absorption of 40,696 ton. Homoscedasticity tests for Lim5000 and LCM resulted in p-value <0.01, with a difference in $CO_2$ absorption of 1,673 ton. Given that $CO_2$ absorption in forests is an important factor that reduces greenhouse gas emissions, the findings of this study should provide fundamental information for supporting a wide range of decision-making processes for land use and management.

• 대한공업교육학회지
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• v.38 no.1
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• pp.1-27
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• 2013

The purpose of this study was to find out the areas and their constitute elements of new apprenticeship through the expert of vocational education to improve the growth potential in the field of industry. Through the three times Delphi research process final composing areas and elements(total 6 areas and 41 sub-elements) of new apprenticeship were extracted. Followings are specific study results of 41 sub-elements for the 6 areas. In area A(Technology Skill aspect) total nine sub-elements were deducted as follows. Technology skill's field appling ability, new technology skill's acquisition, quality assurance ability, research development ability, material management using ability, problem solving ability, core technology skill understanding ability, idea's imagery expressing ability, creative design ability. In area B(Institutional aspect) total five sub-elements were deducted as follows. Flexible human material support, precise division of works, objective result assessment, institutionalization of responsibilities and liabilities between teacher and student, institutionalization of duty invention reward. In area C(Affective aspect) total eight sub-elements were deducted as follows. Manners and cooperation between teacher & student and peer, values for job, basic attitude for technology, job ethic sense, respect of other organization, active action to organization change, attitude of technology successor, service mind. In area D(Self-improvement aspect) total nine sub-elements were deducted as follows. Self evaluation and reflection, cultivate of organization understanding, career planning and developing ability, sound philosophy of life, communication ability, decision making ability, prepare of individual competence enhance system, self-control ability improvement, reaction of unexpected situation. In area E(Knowledge aspect) total four sub-elements were deducted as follows. Basic knowledge of relevant area, knowledge of new technology & preceding technology, fusion and relocation of knowledge, practical knowledge. In area F(Environmental aspect) total six sub-elements were deducted as follows. Awareness of business environment, understanding of education and practice environment, understanding of apprenticeship's business demand, connectivity of region community, adapt ability of labor market's change, awareness of society environment change.

• Journal of Distribution Science
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• v.10 no.1
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• pp.5-10
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• 2012

Currently, the rewards programs offered by many companies to strengthen customer relationships have been working quite well. In addition, many companies' rewards programs, designed for stabilizing revenue, are recognized to be effective. However, these rewards programs are not significantly differentiated between companies and there are no accurate conclusions currently, which can be made about their effects. Because of this, a company with a customer rewards program may not comprehend the true level of active participation. In this environment some companies' rewards programs inadvertently hinder business profitability as a side effect while attempting to increase customer loyalty. In fact, airline and oil companies pass on the financial cost of their programs to the customer, and as a result, they have been criticized publicly. The result of this is that the corporations with bad rewards programs tend to get a bad image. In this study of stores' rewards programs, we centered our focus on the design of the program. The main problem in this study is to recognize the financial value of the rewards program and whether it can create a competitive edge for the companies despite the cost issues experienced by them. Customers receiving financial rewards for their business may be just as satisfied with a particular company or store versus those who are not, and the program, perhaps, does not form a distinctive competitive advantage. When the customer is deciding between competing companies to secure their product needs with, we wanted to figure out how much of an affect a valuable reward program had on their decision making. To evaluate this, we set the first hypothesis as, "based on the level of involvement of the customers, there is a difference between customers' preferences for rewards programs." In the results of Experiment 1 we saw that in a financial compensation program for high-involvement groups and low-involvement groups, significant differences appeared and Hypothesis 1 was partially supported. As for the second hypothesis that "customers will have different preferences between a financial rewards programs (SE) and a joint rewards programs (JE)," the analysis showed that the preference for JE was significantly higher than that for other programs. In addition, through Experiment 2, we were able to find meaningful results, which revealed that consumers have shown a significant difference in their preferences between SE and JE. The purpose of these experiments was to enable the designing of a rewards program by learning how to enhance service information distribution and strengthen customer relationships. From the results, there should be a great amount of value for future service-related endeavors and academic research programs. The research is significant, because the results can be found to have a positive effect on reward program designs however, it does have the following limitations. First, this study was performed using an experiment, and all experiments have limitations. Second, although there was an individual evaluation and a joint evaluation, setting a proper evaluation criteria was difficult. In this study, 1,000 Korean won (KRW) in the individual evaluation had a value of 2 points, and, in the joint evaluation, 1,000 KRW had a value of 1 point. There may have been alternative ways to differentiate the evaluations to obtain the proper results. In this study, since there was no funding, the experiments were performed orally however, this was complementary to the study. Third, the subjects who participated in this experiment were students. Conducting this study through experimentation was unavoidable for us, and future research should be conducted using an actual program with the target customers.

• Korean Chemical Engineering Research
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• v.55 no.3
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• pp.322-331
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• 2017

District heating was first introduced in Korea in 1985. As the service life of the underground thermal piping network has increased for more than 30 years, the maintenance of the underground thermal pipe has become an important issue. A variety of complex technologies are required for periodic inspection and operation management for the maintenance of the aged thermal piping network. Especially, it is required to develop a model that can be used for decision making in order to derive optimal maintenance and replacement point from the economic viewpoint in the field. In this study, the analysis was carried out based on the repair history and accident data at the operation of the thermal pipe network of five districts in the Korea District Heating Corporation. A failure probability model was developed by introducing statistical techniques of qualitative analysis and binomial logistic regression analysis. As a result of qualitative analysis of maintenance history and accident data, the most important cause of pipeline damage was construction erosion, corrosion of pipe and bad material accounted for about 82%. In the statistical model analysis, by setting the separation point of the classification to 0.25, the accuracy of the thermal pipe breakage and non-breakage classification improved to 73.5%. In order to establish the failure probability model, the fitness of the model was verified through the Hosmer and Lemeshow test, the independent test of the independent variables, and the Chi-Square test of the model. According to the results of analysis of the risk of thermal pipe network damage, the highest probability of failure was analyzed as the thermal pipeline constructed by the F construction company in the reducer pipe of less than 250mm, which is more than 10 years on the Seoul area motorway in winter. The results of this study can be used to prioritize maintenance, preventive inspection, and replacement of thermal piping systems. In addition, it will be possible to reduce the frequency of thermal pipeline damage and to use it more aggressively to manage thermal piping network by establishing and coping with accident prevention plan in advance such as inspection and maintenance.

• The Journal of Korean Academic Society of Nursing Education
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• v.5 no.2
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• pp.376-387
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• 1999

Purpose : To provide fundamental data to present further direction of education on Nursing Ethics by investigating the status of Nursing Ethics education performed at 4-year-Colleges of Nursing. Korea. Methods : A descriptive survey study The data collected from 28 universities through a questionnaire to examine the status of Nursing Ethics education in Korea. Results : I. Teaching Nursing Ethics class as a independent subject-6(21.4%) universities. 1) The average of 23.67 hours(2 credits) in the total educational hours. 2) Teaching method-theoretical class, discussion of case study, discussion of related issues, presentation of video tapes and discussion, team education, role play, and submission of reports. 3) Education contents-Nursing profession and ethics, the dignity of human life, necessity of bioethics, ethical theory and refutation, code for nurses, ethical issues between nurses and patients, nurses and co-workers, and nurses and nurses 6 universities 4) 5 universities-Included ethical decision making, artificial insemination, external insemination, artificial abortion, organ transplantation, brain death, human subject of study suicide, and euthanasia. II. Teaching Nursing Ethics as an inclusive theme in other subjects-22 (78.57%) universities. 1) Educated in Introduction of Nursing (14 universities), Nursing Management, Nursing Ethics and Philosophy, Special Nursing, Nursing and Law, and Professional Nursing. 2) Educational course-Taught in freshman level at 14 universities, average 9.32 education hours. Conclusion: Showed not only that universities, not operating Nursing Ethics as a independent class, unreasonably operate and assign too many contents in comparing with its education hours and are likely to become only a cramming education but also professors whose major is not Nursing Ethics presently in charge need to take a chance to supplement their knowledge and teaching method.

• Asia pacific journal of information systems
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• v.18 no.2
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• pp.95-114
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• 2008

Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.