• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.471-483
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• 2016

The purpose of this study is to explore how students' epistemological framing and positional framing affect the role of wonderment questions related to the activation of conceptual resources and to investigate what contexts affect students' framings during scientific model construction. Four students were selected as focus group and they participated in collaborative scientific model construction of mechanisms relating to urination. According to the results, one student whose framings were "understanding phenomena" and "facilitator" asked wonderment questions, but the others whose framings were "classroom game" and "non-respondent" were not able to activate their conceptual resources. However, they were able to activate their conceptual resources when they shared the epistemological framing of "understanding phenomena" and shifted between the positional framings of "facilitator" and "respondent." Although they were able to activate their conceptual resources, these activated resources were not able to contribute to their model when they shifted to the framings of "classroom game" and "receiver." In contrast, when students constantly shared an "understanding phenomena" framing and dynamically shifted between the framings of "facilitator" and "respondent," they were able to activate various conceptual resources and develop their group model. The students' framings were affected by the contexts. These included: when students were confronted with cognitive difficulties and were not provided proper scaffolding; when the teacher played the role of answer provider and guided the activity with correctness; when there were several possible explanatory models that students could choose from; and when the teacher played the role of thought facilitator. This study contributes to supporting teaching and learning environments for productive scientific model construction.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.611-635
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• 2014

Information systems (IS) have become ubiquitous and changed every aspect of how people live their lives. While some IS have been successfully adopted and widely used, others have failed to be adopted and crowded out in spite of remarkable progress in technologies. Both the technology acceptance model (TAM) and the IS Success Model (ISSM), among many others, have contributed to explain the reasons of success as well as failure in IS adoption and usage. While the TAM suggests that intention to use and perceived usefulness lead to actual IS usage, the ISSM indicates that information quality, system quality, and service quality affect IS usage and user satisfaction. Upon literature review, however, we found a significant void in theoretical development and its applications that employ either of the two models, and we raise research questions. First of all, in spite of the causal relationship between intention to use and actual usage, in most previous studies, only intention to use was employed as a dependent variable without overt explaining its relationship with actual usage. Moreover, even in a few studies that employed actual IS usage as a dependent variable, the degree of actual usage was measured based on users' perceptual responses to survey questionnaires. However, the measurement of actual usage based on survey responses might not be 'actual' usage in a strict sense that responders' perception may be distorted due to their selective perceptions or stereotypes. By the same token, the degree of system quality that IS users perceive might not be 'real' quality as well. This study seeks to fill this void by measuring the variables of actual usage and system quality using 'fact' data such as system logs and specifications of users' information and communications technology (ICT) devices. More specifically, we propose an integrated research model that bring together the TAM and the ISSM. The integrated model is composed of both the variables that are to be measured using fact as well as survey data. By employing the integrated model, we expect to reveal the difference between real and perceived degree of system quality, and to investigate the relationship between the perception-based measure of intention to use and the fact-based measure of actual usage. Furthermore, we also aim to add empirical findings on the general research question: what factors influence actual IS usage and how? In order to address the research question and to examine the research model, we selected a mobile campus application (MCA). We collected both fact data and survey data. For fact data, we retrieved them from the system logs such information as menu usage counts, user's device performance, display size, and operating system revision version number. At the same time, we conducted a survey among university students who use an MCA, and collected 180 valid responses. A partial least square (PLS) method was employed to validate our research model. Among nine hypotheses developed, we found five were supported while four were not. In detail, the relationships between (1) perceived system quality and perceived usefulness, (2) perceived system quality and perceived intention to use, (3) perceived usefulness and perceived intention to use, (4) quality of device platform and actual IS usage, and (5) perceived intention to use and actual IS usage were found to be significant. In comparison, the relationships between (1) quality of device platform and perceived system quality, (2) quality of device platform and perceived usefulness, (3) quality of device platform and perceived intention to use, and (4) perceived system quality and actual IS usage were not significant. The results of the study reveal notable differences from those of previous studies. First, although perceived intention to use shows a positive effect on actual IS usage, its explanatory power is very weak ($R^2$=0.064). Second, fact-based system quality (quality of user's device platform) shows a direct impact on actual IS usage without the mediating role of intention to use. Lastly, the relationships between perceived system quality (perception-based system quality) and other constructs show completely different results from those between quality of device platform (fact-based system quality) and other constructs. In the post-hoc analysis, IS users' past behavior was additionally included in the research model to further investigate the cause of such a low explanatory power of actual IS usage. The results show that past IS usage has a strong positive effect on current IS usage while intention to use does not have, implying that IS usage has already become a habitual behavior. This study provides the following several implications. First, we verify that fact-based data (i.e., system logs of real usage records) are more likely to reflect IS users' actual usage than perception-based data. In addition, by identifying the direct impact of quality of device platform on actual IS usage (without any mediating roles of attitude or intention), this study triggers further research on other potential factors that may directly influence actual IS usage. Furthermore, the results of the study provide practical strategic implications that organizations equipped with high-quality systems may directly expect high level of system usage.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.4
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• pp.65-76
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• 2014

The basic purpose of this study is to examine the relationship among entrepreneurial intention, university supports for startup, and startup activities of university students. For the study, we identified the influence factors of students' startup intention based on reviewing preceding studies and examined how these factors affect their intention of new venture startup. In addition, this study attempted to examine how these factors that can have a significant impact on entrepreneurial intention affect startup activities and analyzed how entrepreneurial intention would mediate the relationship between these influence factors and startup activities. A total of 769 students who chosen by random were surveyed and all questionnaires were sent by mail to the universities that entrepreneurship education and entrepreneurial programs were selected as the forerunners from the government. As a result, this study revealed that student's psychological traits such as entrepreneurial self-efficacy and risk-taking have significant effect on the intention of startup. And student's exposure to the role models and various entrepreneurial experiences such as entrepreneurship education and entrepreneurial student's club in the university has significantly positive influence on the intention of startup. This study also found that the effects of these explanatory variables of this research on startup activities have been partially mediated by entrepreneurial intention. The entrepreneurial intention was also proven to have a significant effect on startup activities. Finally, the extent to which university supports activities for students' startup moderated the relationship between entrepreneurial intention and university students' startup activities. We believe that these results of this study contribute to the understanding of the entrepreneurship process both theoretical and practical perspectives.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.4
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• pp.37-47
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• 2014

This study aims to examine the usage of and satisfaction with neighborhood parks and university campuses and compare through the RPRS analysis of them to figure out how university campuses, as substitutive green spaces, play the role of curative environment for neighboring people. This study relied on two methods: a descriptive method of researching publications and related scholastic writings and an empirical study of researching how the park and campus has been utilized and researching whether the residents are satisfied with the currently existing space and the environment or not, and finally researching how the university campus open space as a curative environment impacts the satisfaction and utilization through reliability analysis. As a result, contribution of healing environment has a relatively high average contribution of 4 or more points, respectively. These results suggest that urban people think that a relationship between man and nature is very important in the overabundance of stress in modern society. It shows that neighborhoods are higher than university campuses in the explanatory of the Attention Restoration Theory, but the campus is higher than the neighborhood park in similarity of configuration. The result of RPRS analysis shows that the therapeutic qualities of the landscape may be very useful to evaluate a college campus open space in "the Revised Perceived Restoration Scale." The results showed that, in future studies, it will be a great help by widespread use of pre-evaluation of the characteristics of restorative environments in the planning, design and other works. To study the impact of the curative features on evaluating future research locations, the location should provide a variety of purposes and motives. At the same time, it should provide specific design ideas to design-related designers by using perceived restoration scale.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.25 no.1
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• pp.28-36
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• 2014

Objectives : The goal of this study was to examine the association between zinc and lead level and symptoms of attention-deficit hyperactivity disorder (ADHD) among Korean children. Methods : A total of 89 clinic-referred children participated in the study (ADHD group=45, control group=44). The participants were 5-15 years old, and were mainly from urban areas of Seoul, Korea. ADHD was diagnosed using the Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version. We excluded children with a comorbid psychiatric disorder, medical illness requiring medication, or a prior history of taking ADHD medication. In order to evaluate the severity of ADHD symptoms, parents' Korean ADHD Rating Scale (K-ARS) was used. The ADHD diagnostic system (ADS) was used for evaluation of the severity of inattention and impulsivity. All participants completed the intelligence test and hair mineral analysis. Multiple regression analysis was used to examine the effect of hair zinc and lead levels on the K-ARS and ADS. We measured the predictive ability of the zinc and lead levels using logistic regression analysis. Results : The lead level explained the score for omission errors, commission errors, and response time SD in visual ADS in the ADHD group (adjusted $R^2$=.243, p<.01, adjusted $R^2$=.362, p<.01, and adjusted $R^2$=.275, p<.01), the score for omission errors of auditory ADS in ADHD group (adjusted $R^2$=.407, p<.01) and the entire group (adjusted $R^2$=.292, p<.01). Zinc was significantly explanatory for the K-ARS scores for the entire group (adjusted $R^2$=.248, p<.001) and the ADHD group (adjusted $R^2$=.247, p<.05). Conclusion : These findings suggest a possible role of zinc and lead in ADHD. Lead concentration in hair samples affected the ADS scores, and this was more prominent in children with ADHD. Children with ADHD had a lower zinc concentration in their hair, and the zinc concentration in hair showed negative correlation with the K-ARS score.

• Journal of the Korea Institute of Building Construction
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• v.12 no.1
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• pp.122-132
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• 2012

Establishing a success model of a specific information system is critical to understanding the mechanism of IS success, the various dimensions of IS performance, and the factors and their causal relations in IS success. As one of the key IT applications, the project management information system (PMIS), particularly the web-based PMIS (Web-PMIS), has played a significant role in construction management processes in Korea. However, there have been few research attempts made to construct a Web-PMIS success model. This study primarily aims to propose a Web-PMIS success model based on DeLone and McLean's IS success model, and to discuss whether or not the D&M IS success model can be applied to the construction Web-PMIS. A questionnaire was sent out to Web-PMIS users (construction managers and constructors), and 253 completed questionnaires were received. Through multi-regression analysis, it was confirmed that it is statistically acceptable to apply the D&M IS success model to the Web-PMIS. However, the explanatory power of the model is not sufficient, and some of the model factors are not statistically significant enough. Relying on the statistical analysis results, this study also discusses the development direction for the Web-PMIS success model.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.23-58
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• 2014

This study investigates the effects of product strategies and CEO characteristics on the growth of venture firms. These factors are related with strategic behaviors and managerial capabilities of small and dynamic firms. According to empirical results of FGLS regression with the data of the Korean venture firms, both product strategies and CEO characteristics have significant effects on firm growth and additionally explanatory powers. In general, the growth rates of venture firms tend to increase with the level of product's diversity and marketing-enhancing strategy, but decrease with the degree of product's innovation-enhancing strategy. The growth rates are higher when CEO is non-founder and has sufficient experience related to current business, and CEO's career development is focused on general management area. The effects of product strategies and CEO characteristics are moderated by the firm-internal factor such as organizational growth stage. The positive effects of some product strategies (e.g. marketing-enhancing strategy) and CEO characteristics(e.g. career focused on general management) become stronger for firms operating in the stage of start-up or initial growth, while their effects become negative or insignificant for firms operating in the mature or declining stage in which the negative effect of innovation-enhancing strategy does not exist.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.37-66
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• 2000

Volunteers activities in Health Centers are strategically important for the efficient utilization of human resource and local people's health promotion in community. With these backgrounds. this study is conducted to examine significant factors in relation to demand and utilization of volunteers in Health Centers. and the factors are the characteristics of Health Centers. volunteer management factors and external environment factors. Subjects in this study were 245 Health Centers all chosen. Data were collected from April. 12. 1999 to May. 31. 1999. and the data for analyses were ones of 116 respondents. Then. the data coded and submitted to Fisher's exact test. NPAR1WAY ANOVA, Correlation analysis. multiple regression analysis, multiple logistic regression analysis with SAS program. The key results from this study can be epitomized as follows: 1. 43.1% of responding health centers answered that they 'utilize volunteers'. The average number of volunteers who were engaged in responding health centers was 43, out of which 7 were men and 36 were women. As for the adequacy of the number of the volunteers. 55.1% responded 'not enough' and 30.6% responded 'adequate'. The more the number of volunteers needed. the more the number of utilizing volunteers is. When asked about their views concerning the utilization of volunteers in Health Centers. 88.7% of all respondents answered in the affirmative. The accountable factor for the utilization of volunteers was the present utilization of volunteers. 2. Concerning the reasons for using volunteers. 'to induce local people's participation in health services' was the highest comprising 76% of the responding health centers. 3. Most of volunteers were housewives and independent enterprisers. The most type of volunteer activities was 'just simple labor'. 4. As for the action duration of volunteers. 69.4% answered 'under 6 months'. The factor was significant difference with the action duration of volunteers was 'to provide social meeting' in the middle of rewards for volunteers. 5. Asked about the problem in utilizing volunteers. 53.2% answered 'the difficulty of recruitment and education for volunteers'. and 42.6% answered 'lack of budget and manpower needed for the utilization of volunteers.' 6. Concerning the evaluation of the performance by volunteers. 88% answered 'satisfactory'. With regards to the reason for that. 29.3% answered 'volunteers can provide various kinds of services' 7. 88.7% of responding health centers answered that they will continuously or newly utilize volunteers in the future. 8. The main health program services which expect utilization of volunteers were visiting health services(63.2%). old people's health services (25.3%). These were not significant difference with any explanatory variable. 9. The average number of volunteer needed in responding health centers was 38. The more the average number of utilizing volunteers. the more the number of volunteers needed is. The more the degree of financial independence. the more the number of volunteers needed is. In conclusions. Health centers are necessary to promote their role of recruitment. education and training for volunteers. the development of volunteer activities programs.