• Journal of Distribution Science
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• v.13 no.10
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• pp.135-142
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• 2015

Purpose - Following the speedy development of the smart phone industry, tourism companies started to increase their brand recognition and sales volume by adopting mobile applications. However, applications for tourism industries are still insignificant. This study tries to analyze empirical evidence from Korean and Chinese consumers who have used mobile tour applications. By using an expansion of the technology acceptance model (TAM), this study will find what factors have effects on user intention for mobile tour applications. The findings will be helpful for the development of mobile tour applications and the tourism industries. Research design, data, and methodology - This study uses the TAM, which was presented by Davis in 1989. This study uses consumer acceptance level, consumer choice attitude, and use intention as the basic variables to fit to the TAM, and adopts choice content quality, brand value, and usage motivation as additional variables to analyze. This study has developed several hypotheses and collected data from 620 users who used mobile applications for tourism during April 1 to April 30, 2015. A total of 612 valid questionnaires were collected and used in the data analysis. The data was analyzed with structural equation modeling using SPSS Win/pc and Amos 22.0. Results - The findings can be summarized as follows: First, the content quality affects the consumer acceptance degree and choice attitude. Second, the brand value has a directly positive effect on the consumer acceptance degree and choice attitude. It is clear that the content quality and brand value play important roles in raising consumer acceptance and choice attitude. Third, usage motivation has no effect on the consumer acceptance degree and choice attitude. Fourth, the acceptance degree does not have any effect on the consumer choice attitude. Fifth, the acceptance degree affects the use intention. Last, the consumer choice attitude affects the use intentions. This indicates that consumer acceptance and choice attitude must both be achieved to induce use intention among consumers. Finally, the effects of the mobile tour application content quality and brand value on consumer acceptance degree and choice attitude were confirmed. Additionally, the effects of the consumer acceptance degree and choice attitude on use intentions were analyzed. Conclusion - It is not meaningful for tourism marketing to launch tour applications in the mobile market without understanding tourism consumer characteristics. When developing mobile tour applications, companies should focus on the characters of consumer choice attitudes as high quality, high brand value, usefulness, and ease of mobile tour applications. This study has limitations in that it did not consider negative factors such as perceived risks or analyze whether there are differences between Korean and Chinese consumers. In the future, we will consider equipping the same mobile tour applications commonly used by both Korean and Chinese consumers, and then examine negative factors as well as the differences in mobile tour applications between Korean and Chinese consumers.

• Korean Journal of Community Nutrition
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• v.14 no.3
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• pp.286-294
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• 2009

This study investigated the correlations of five constructs - health concerns, healthy eating practices and attitudes, food choice motives, attitudes toward organic foods - in the formation of behavioral to the purchasing intentions of organic foods. An instrument encompassing health perception, attitudes, habits and personal traits was developed through the comprehensive reviews of the literature and the assured validity and internal reliability of the contents. The questionnaire was administered to the students of three universities at Daegu, Kyungpook province. A total of 288 questionnaires were collected for a response rate of 96.0%. The correlations of five constructs and purchasing intention were tested simultaneously using structural equation modeling. Healthy eating practices and attitudes toward organic foods were found to be the determinants which directly influence the intention to purchase organic foods. Health concerns didn't show direct relation to the purchasing intention of organic foods. The hypothesized path from the health concerns to the purchasing intentions was not supported. The results indicated that food choice motives and healthy eating attitudes should be managed to achieve higher behavioral intention to purchase organic foods.

• Asia Marketing Journal
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• v.18 no.3
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• pp.47-63
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• 2016

Rational choice theory holds that the alternative with largest expected utility in the choice set should always be chosen. However, it is often observed that an alternative with the largest expected utility is not always chosen while the choice task itself being avoided. Such a choice phenomenon cannot be explained by the traditional expected utility maximization principle. The current study posits shows that such a phenomenon can be attributed to the gap between the expected perceived gain (or loss) and the expected perceived value. This study mathematically analyses the relationship between the expectation of an alternative's gains or losses over the reference point and its expected value, when the perceived gains or losses follow continuous probability distributions. The proposed expected value (EV) function can explain the effects of loss aversion and uncertainty on the evaluation of an alternative based on the prospect theory value function. The proposed function reveals why the expected gain of an alternative should exceed some positive threshold in order for the alternative to be chosen. The model also explains why none of the two equally or similarly attractive options is chosen when they are presented together, but either of them is chosen when presented alone. The EV function and EG-EV curve can extract and visualize the core tenets of the prospect theory more clearly than the value function itself.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.302-305
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• 1996

In this paper, an optimal identification method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together with optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzz-neural networks(FNNs) and parameters of membership function are tuned using genetic algorithm(GAs). For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activated sludge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The show that the proposed method can produce the intelligence model w th higher accuracy than other works achieved previously.

• Journal of Korean Society of Transportation
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• v.25 no.5
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• pp.209-231
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• 2007

This paper suggested an approach to characterize travel choice behaviors using the implicit price instead of the indirect utility. The choice criterion to compare the implicit prices of available trip options was developed from the utility maximization problem of a trip maker which is supposed to choose the best option from the available ones differentiated by only by the quantitative attributes such as travel cost and time but also by qualitative attributes such as comfort and safety. The utility maximization problem is constructed under household production theory, and is incorporated with a special kind of joint homogeneous production functions. The implicit price of a certain trip option is the sum of the monetary price and the multiple of travel time and the value-of-travel-time, and the value-of-travel-time refers to the portion of wage, which can be assignable to the trip-making activity. This choice criterion is statistically identifiable, and behaviorally plausible. Moreover, this criterion has the expression simpler than the indirect utility, and therefore could be an effective target of the statistical estimation for travel choice behaviors.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.131-139
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• 2010

The transport mode choice problem is to determine which of the alternative transport modes connecting an origin and destination will be used by a traveler. Most of the research relating to transport mode choice have mainly been focused on modeling, properties, and applications of the model, but rarely were concerned with equilibrium among the modes. This paper proves the equilibrium among the modes by using a logit mode choice model, and then verifies it with the Korean Transport Database (KTDB). In order to obtain such an equilibrium, this paper also presents a solution algorithm based on the fixed point theorem. The algorithm was tested with an example and confirmed the equilibrium solution.

• Asia Marketing Journal
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• v.15 no.1
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• pp.155-168
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• 2013

This study describes consumers' movie choices in conjunction with other group members and attempts to reassess the effect of the online word of mouth (WOM) source in a joint decision context. The tendency of many people to go to movies in groups has been mentioned in previous literature but there is no modeling research that studies movie choice from the group decision perspective. We found that ignoring the group movie-going perspective can result in a misunderstanding, especially underestimation of genre preference and the impact of the WOM variables. Most of the studies to measure online WOM effects were done at the aggregate level, and the role of online WOM variables(volume vs valence) is mixed in the literature. We postulate that group-level analysis might offer insight to resolve these mixed understanding of WOM effects in the literature. We implemented the study via a random effect model with group-level heterogeneity. Romance, drama, and action were selected as genre variables; valence and volume were selected as online WOM variables. A choice-based conjoint survey was used for data collection and the models was estimated via Bayesian MCMC method. The empirical results show that (i) both genre and online WOM are important variables when consumers choose movies, especially as group, and (ii) the WOM valence effect are amplified more than the volume effect does as individuals are engaged in group decision. This research contributes to the literature in several ways. First, we investigate movie choice from a group movie-going perspective that is more realistic and consistent with the market behavior. Secondly, the study sheds new light on the WOM effect. At group-level, both valence and volume significantly affect movie choices, which adds to the understanding of the role of online WOM in consumers' movie choice.

• The Korean Journal of Food And Nutrition
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• v.35 no.6
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• pp.481-490
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• 2022

The influence of the food value consumption type of MZ generation on food choice attribute and sustainable food consumption behavior was studied using structural equation modeling. A survey was conducted on April 11~17, 2022, among panels aged 20 to 39. A total of 350 valid replicates (100%) were analyzed using statistical program SPSS The validity of the measurement instrument was verified through exploratory factor analysis and confirmatory factor analysis. The data reliability was confirmed using Cronbach's alpha coefficient. The hypothesis was verified by performing path analysis through structural equation modeling using AMOS. Regarding the influence of food choice characteristics on sustainable food consumption behavior, health has a significant positive (+) effect on the selection consumption behavior of certified food and local food. Among food value consumption categories social value consumption has a significant negative (-) influence on the consumption behavior of certified food and the choice of local food. Ethical value consumption has a significant positive (+) influence on the selection consumption behavior of certified food and local food. This study is significant because it has identified sustainable food consumption behaviors that domestic consumers can adopt daily. It can use as baseline data for preparing political and institutional measures.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.31-35
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• 2001

Simulation --- The ideal tool for BPR. Work now and CASE tools are static modeling tools. Based on our own customers surveys, we have discovered that the use of process modeling tools thus far has focused on modeling the current(What-Is) state of a business. We have found that 90 percent of reengineering projects, the modeling tools of choice have been flowcharting tools. Static models offer help in understanding the overall nature of an existing process. However, static models can not really help you see the step by step motions towards completion of your goals. In static modeling, you see two pictures in time, usually taken at the current state and final state models of your reengineering project. Static models are usually not object oriented, therefore can not show facility or office layout and movement of entities and objects throughout the facility. However, this does not mean that static modeling does not have its application nor add value to the user as in a few success stories. Simulation helps the team analyze the complex aspects of the project. Many times a plan that looks good on paper might turn out entirely different when put into action. Therefore, simulation helps you look at how situations might work before actual implementation. In particular, computer simulation models help you view a reengineered condition before they are rolled-out. Items such as a lead time and resource allocation.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.947-958
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• 2012

When modeling event times in biomedical studies, the outcome might be incompletely observed. In this paper, we assume that the outcome is recorded as current status failure time data. Despite well-developed literature the routine practical use of many current status data modeling methods remains infrequent due to the lack of specialized statistical software, the difficulty to assess model goodness-of-fit, as well as the possible loss of information caused by covariate grouping or discretization. We propose a model based on pseudo-observations that is convenient to implement and that allows for flexibility in the choice of the outcome. Parameter estimates are obtained based on generalized estimating equations. Examples from studies in bile duct hyperplasia and breast cancer in conjunction with simulated data illustrate the practical advantages of this model.