• Asia Marketing Journal
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• v.11 no.1
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• pp.39-72
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• 2009

With the growing importance of accountability, it is getting necessary to test the impact of marketing expenditure on marketing performance. Including recent ROM, we can find a few researches about marketing accountability. But there are a few problems about definitions and metric of marketing expenditure and marketing performance. Therefore, by defining and analyzing the impact of marketing expenditure on marketing performance, we are going to set the classification scheme of marketing expenditure and marketing performance. Based on research findings, new definitions and metrics are proposed as follows. First, we suggest the classification scheme of marketing expenditure. Marketing expenditure is defined as expense accounts in the balance sheet for doing marketing tasks. Marketing expenditures includes many accounts, for example, marketing research, advertising, sales promotion, foreign market development, physical distribution, after services. Among these marketing investment, advertising expenses have a positive effect on marketing performance. Second, we suggest the classification scheme of marketing performance. Already, marketing performance has been defined as financial metrics, customer metrics, market metrics, and corporate social responsibility. But, in this study, we find that the process model is not relevant for explaining association between the performance metrics. The process model is a virtuous cycle: "customer metrics→market metrics→financial metrics→firm valuation metrics." But, in this study, it is not supported or a little significant association between these metrics. Based on these results, we suggest the balance model or flower model as the classification scheme of marketing performance.

• Journal of The Korean Association For Science Education
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• v.34 no.3
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• pp.235-246
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• 2014

This study aims to explore how in-service science teachers adopt newly developed 'Science' focusing on the fusion of science based on 'the diffusion of innovation' model. For this study, we have explored five variables (i.e., perception of need, perception of support, innovativeness, perceived usefulness, self-efficacy of teaching, and intention to adopt) based on literature review and developed survey items to measure the level of five variables that in-service science teachers perceive. In addition, the path model of six variables explaining how in-service science teachers adopt an innovation was hypothesized by the literature review. A total of 349 in-service science teachers have participated in this survey study. First of all, results have illustrated that the levels of six variables have not significantly associated with in-service science teachers' teaching experiences, participation in professional development programs on 'Science' curriculum, and majors. In addition, the statistically acceptable model fit indices have illustrated that path model has been statistically valid to explain how in-service science teachers adopt newly developed 'Science' focusing on the fusion of science. The results have also illustrated that 'perception of support', 'perceived usefulness', and 'self-efficacy of teaching' exhibited strong mediating effects between other variables. For the successful establishment of newly developed curricula, textbook, or policies in science education in school, the level of teachers' intention to adopt innovations should be enhanced. This study will be useful for the development of new science teacher professional development programs to promote the level of teachers' intention to adopt innovations.

• Informatization Policy
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• v.22 no.4
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• pp.68-90
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• 2015

This study aims, to review and analyze the trend of the paradigm shift of government innovation focused on the relation between government and citizens. This paper tries to analyze the effects and performance of government innovation through the government 3.0 model, which is highlighted in Korea. This paper chooses higher-education loan programs as the case to study and analyzes results using government innovation theories. Especially, this paper re-organizes Korea's higher-education loan programs with 'Government 3.0 model'. We can expect 'Government 3.0 model'is usefull when explaining the specific policy program innovation loan. Lastly, this paper looks, at improvement points in Korea's higher-education loan programs.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.167-174
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• 2016

One of the major causes of morbidity and mortality in breast cancer patients is delay in seeking help. Leventhal's self-regulation model provides an appropriate framework to assess delay in seeking help. The aim of this study was to investigate the relationship between "illness perception" and "help seeking delay" in breast cancer patients based on Leventhal's self-regulation model. In this correlational descriptive study with convenience sampling conducted in 2013, participants were 120 women with breast cancer who were diagnosed in the last year and referred to chemotherapy and radiotherapy centers in Rasht, Iran. Data collection scales included demographic data, Revised Illness Perception Questionnaire (IPQ-R)and a researcher made questionnaire to measure the delay in seeking help. Pre-hospital delay (help seeking delay) was evaluated in 3 phases (assessment, disease, behavior). The data were analyzed using SPSS-19. The mean (SD) age calculated for the patients was $47.3{\pm}10.2$. Some 43% of the patients had a high school or higher education level and 82% were married. The "pre-hospital delay" was reported ${\geq}3months$. Logistic regression analysis showed that none of the illness perception components were correlated with appraisal and behavioral delay phases. In the illness delay phase, "time line" (p-value =0.04) and "risk factors"(p-value=0.03) had significant effects on reducing and "psychological attributions" had significant effects on increasing the delay (p-value =0.01). "Illness coherence" was correlated with decreased pre-hospital patient delay (p-value<0.01). Women's perceptions of breast cancer influences delay in seeking help. In addition to verifying the validity of Leventhal's self-regulation model in explaining delay in seeking help, the results signify the importance of the "illness delay phase" (decision to seek help) and educational interventions-counseling for women in the community.

• International Journal of Highway Engineering
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• v.14 no.2
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• pp.131-143
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• 2012

The past researches on roadway segment safety estimation focused on intersections, which are the primary traffic accident regions. The past researches on roadway segments, However, analyzed the effects of certain factors on the traffic accident occurrence rate by organizing the individual geometric structures of the roads, and there is still a dearth of researches on the development of a traffic accident estimation model for rural roadway segments. Therefore, this research focused on rural two-lane and multilane roadway segments and developed traffic accident estimation models through the application of statistical techniques. This is required to explain such high frequency of zero counts in the traffic accident data. In this research, it was found that the Hurdle model is more suitable than the Poisson or negative binomial-regression model for explaining the excess zeros case. In addition, main variables were chosen to estimate their effects on traffic accident occurrence at rural roadway segments, and the safety at such rural roadway segments was estimated. In this research, it was assumed that there are different factors that affect the safety at two-way lane and multilane roadway segments, and a traffic accident estimation model was developed by dividing the two-way lane and multilane roadway segments.

• Journal of the Korean School Mathematics Society
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• v.16 no.2
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• pp.383-407
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• 2013

As an alternative of making students active and independent under the passive learning conditions in school math classes, many researchers have paid much attention to problem posing and done a lot of research on it. Above all, Brown and Walter proposed What I f Not strategy as a means of problem posing. In this strategy, during the process of posing problems, the transformation of their attributes is inevitably made, and so after problem posing, the process is finished by explaining the problem. But only the simple transformation of attributes could pose wrong problems. It suggests that it is very important to recognize the relationship which leads to organic connection between attributes in order to pose the right problem. However, many other studies of problem posing haven't focused on this fact. Thus, this study tried to design a model of problem posing to help recognize inherent knowledge in the problem and then pose the right problem by adding an activity of meaning analysis. We concretely showed a model of problem posing emphasizing the analysis of meaning by means of an example, thereby examining the meaning of the model. This study expects students to have the chance to understand the true meaning of problem posing and to be active learners after all.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.307-332
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• 2022

One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.

• 한국체육학회지인문사회과학편
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• v.51 no.2
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• pp.431-440
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• 2012

The purpose of this study was to positively examine whether people with physical disabilities participation behavior model of sport for all applying the theory of planned behavior was appropriate for explaining the participation behavior of sport for all and to investigate the effects of causality within the variables. For this study, a questionnaire was designed base on the contents of measuring total five sub variables drawn from Lee Hyun Su's(2011) via an expert conference. Through validity and reliability verification, the final questionnaire was developed. For data analysis, used PASW statistics 18.0, this study conducted Cronbach's α analysis and exploratory analysis to verify the questionnaire's validity and reliability. It also used SEM and CFA as well utilizing AMOS Ver. 7.0. The results of this study were shown below. First, according to the result of verifying the appropriateness of this study model, the model for this study was found to be appropriate since its evaluation indexes for the appropriateness of a model, such as Normed χ², RMR, IFI, TLI, CFI, and RMSEA, satisfied the criteria for acceptance. Second, there was significantly positive (+) effect of behavioral attitudes on behavioral intention, subjective norms on behavioral intention, perceived behavioral control on behavioral intention, behavioral intention on actual behavior, and perceived behavioral control on actual behavior.

• Korean Journal of Community Nutrition
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• v.1 no.2
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• pp.239-249
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• 1996

Despite the importance of prenatal nutrition, many studies find inadequate calcium intake among pregnant women. The purpose of this study was to investigate the value of the Theory of Planned Behavior in explaining the intentions and the actual consumption of milk among pregnant women participating in or eligible for WIC. A cross-sectional survey was conducted to collect information regarding attitudes, subjective norms, perceived control, milk allocation within the family, intentions and consumption of milk. The survey questionnaire was developed using open-ended questions and interviews with 112 pregnant women. One-hundred-eighty women recruited from prenatal clinics completed the survey questionnaire. Multiple regression was used separately to investigate the association of factors to intentions and to the consu-mption of milk, as proposed in the theory. Milk allocation within the family was used as an exploratory variable to explain milk consumption. Study findings revealed that all three factors, attitudes, subjective norms and perceived control contributed to the model in explaining intentions (explained variance : 36.2%), with perceived control being most important. For milk consumption, intentions and perceived control were related significantly to actual consumption, while milk allocation within the family was not (explained variance : 44.6%). These findings suggest that perceived control is important in understanding both intentions and milk consumption, providing empirical evidence for the Theory of Planned Behavior. With respect to the role of perceived control, more strong evidence was provided in explaining intentions. Findings suggest that educational interventions to increase milk consumption among pregnant women should incorporate strategies to enhance the perception of control, and to strengthen positive attitudes and to elicit social support from significant other. (Korean J Community Nutrition 1(2) 239-249, 1996)

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.91-105
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• 2014

This study purposed to benchmark the number of patients who visited an oriental medicine hospital from its surrounding regions using data envelopment analysis (DEA) model, and to analyze the relationships between regional characteristics and efficiency scores from DEA. Study data was collected from one oriental medicine hospital operated in a metropolitan city in Korea. Patient locations were identified at the smallest administrative district, Dong, and number of patients was calculated at the Dong level based on the address of patients in hospital information system. Socio-demographic variables of each Dong were identified from the Statistics of Korea web-sites. DEA was used to benchmark the number of patients between Dongs and to compute the efficiency scores. Tobit regression analysis model was applied to analyze the relationship between efficiency scores and regional variables. 6 Dongs were identified as efficient after DEA. In Tobit analysis, number of medical aid recipients and number of total population in each Dong was significant in explaining the differences of efficiency scores. The study model introduced the application of DEA model in benchmarking the patients between regions. It can be applied to identify the number of patients in each region which a hospital needs to improve their performances.