• Communications for Statistical Applications and Methods
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• v.23 no.6
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• pp.555-562
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• 2016

Interval censored data often occur in an observational study where the subject is followed periodically. Instead of observing an exact failure time, two inspection times that include it are available. There are several methods to analyze interval censored failure time data (Sun, 2006). However, in the presence of competing risks, few methods have been suggested to estimate covariate effect on interval censored competing risk data. A sub-distribution hazard model is a commonly used regression model because it has one-to-one correspondence with a cumulative incidence function. Alternatively, Klein and Andersen (2005) proposed a pseudo-value approach that directly uses the cumulative incidence function. In this paper, we consider an extension of the pseudo-value approach into the interval censored data to estimate regression coefficients. The pseudo-values generated from the estimated cumulative incidence function then become response variables in a generalized estimating equation. Simulation studies show that the suggested method performs well in several situations and an HIV-AIDS cohort study is analyzed as a real data example.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.33-43
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• 2017

Patent strategy research has focused on the efficiency of licensing for investigation, analysis and utilization of application management, product and development task in finding patent idea, to establish patent strategy linked with management strategy and technology strategy. However, it is difficult to find the research on patent strategy that reflects an adaptive culture to enhance the internalization and performance of the established strategy. As a result, companies have been striving to imitate patent strategies of advanced companies that do not consider their industry and organizational culture. This study proposes a method of defining a firm 's patent strategy according to the competing value model that analyzes organizational culture as four frameworks. This study verifies the classification method through case studies, suggests a suitable patent strategy for the patent strategy type. This study has contributions in that discussing from a new point of view based on organizational culture theory and providing a IP strategic model with high practicality.

• Journal of Distribution Science
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• v.16 no.4
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• pp.83-88
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• 2018

Purpose - This study conducts an empirical analysis on gasoline pricing of Korean retail gas stations focusing on spatial effects. Unlike previous studies, the study uses an official land price for a proxy of the importance of location, and also allows the spatial effects from other competing gas stations as well. Research design, data, and methodology - In collection of data, we obtain more abundant data than those of previous studies. The gasoline prices used in the study are 909,084 observations as daily data from January 1 to July 31 of the year 2016. A proxy for the land price is collected by linking official public land price data with address information on each gas station. For the estimation, the study employs the Panel Spatial Dubin Model to make the best use of the collected location information. Results - As expected, spatial properties of gas stations have significant effects on the gasoline price. As the price per square meter increases by 100 thousands won, the price of gasoline rises 9 won per liter. Among other characteristics, the price increases by 16 won per liter if the station has a convenience store, and about 5 won if it has a car wash service. Gasoline price in Singapore accounted for 26% of variations in domestic gasoline prices. SK Energy and GS Caltex are the top brands in terms of price. The study also finds prices and other important properties of competing gas stations have significant effects on others' prices. Prices of competing gas station have a positive relationship with those of others. If a competing gas station raises the price, the gas station also raises the price, and lowering the price lower the price. Among brands, GS Caltex has the greatest downward pressure on nearby gas stations. Conclusions - The study confirms that location value of gas stations affect their gasoline prices, and the prices of the competing gas stations also have a significant effects on their prices. It suggests that the prices in the competing retail areas tend to be synchronized with each other.

• Culinary science and hospitality research
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• v.13 no.2
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• pp.163-173
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• 2007

The purpose of this study is to measure the effects of behavioral intention. A total of 273 questionnaires were completed. The equation model was used to measure the causal effect. The results demonstrated that the confirmatory factor analysis model provided an excellent model fit. The comprehensive model yielded a significantly better fit to the data and accounted for a greater share of the variance in behavioral intentions than the five competing models. The effects of satisfaction, perceived value and service quality on behavioral intention were statistically significant. As expected, service quality and value had significant effects on satisfaction. Service quality and perceived sacrifice had significant effects on value. Moreover, service quality and value perceptions had an indirect influence on behavioral intentions. The overall findings offer strong empirical support for the intuitive notion that improving service quality can increase favorable behavioral intentions and decrease unfavorable intentions.

• Health Policy and Management
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• v.21 no.2
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• pp.213-248
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• 2011

Past studies on organizational accountability have had similar limitations. First, empirical evidence of organizational accountability is rare as the majority of research takes a conceptual approach of the topic. Only a few of these studies are applicable to health care organizations (HCOs). To fill these gaps, we attempted to develop a model for analysis of organizational accountability for HCOs. Accountability for HCOs was conceptualized by two axes: answerability(X, horizontal) and value-creation(Y, vertical). Our concept building could relieve competing accountability mechanism which past studies stressed. Four elements of accountability(legal, economical, social, and clinical) were applied to specify each of the two features of organizational accountability. And then four types of accountability behavior were coordinated by this x-y axis : high A/high VC, high A/low VC, low A/high VC, low A/low VC. Finally, a multidimensional model of HCOs' accountability, enabling an empirically testable multi-level analysis, was proposed.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.497-508
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• 2016

The purpose of this study is to investigate the effect of organizational culture on subjective well-being in organization. For this, this study surveyed organizational culture and subjective well-being those 142 workers experienced. CVM(Competing Value Model) and COMOSWB(Concise Measure of Subjective Well-Being) were used to measure them. The results were as follows: First, organizational culture had a significant influence on the subjective well-being(p<.001) in the organization and explained it as 28.4%. Only group culture had a significant positive influence on the subjective well-being(p<.001). On the other hand, hierarchical culture, developmental culture and rational culture had no significant influence on subjective well-being. Second, organizational culture had a significant positive influence on satisfaction(p<.001) and positive emotion(p<.001), but had a negative influence on negative emotion(p<.05) which are the factors of subjective well-being, and explained them as 35.3%, 26.0% and 5.1%. Only group culture had a significant positive influence on satisfaction(p<.001) and positive emotion(p<.001), but had negative influence on negative emotion(p<.01). Based on the drawn results, this study provides practical and theoretical implications and suggests further studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.135-142
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• 2013

This study examined the mediating effects of job satisfaction on the relationship between organizational culture and organizational citizenship behavior in social welfare organizations. For the research, organizational culture was measured by Kimberly & Quinn's competing value model. This study analyzed 260 social workers by survey. The multiple regression model proposed by Baron & Kenny and sobel test were used. The results of this study were summarized as follows: Descriptive statistics showed that social workers perceived the level of organizational culture, job satisfaction, and organizational citizenship behavior had a higher than medium. By using a regression, organizational culture and job satisfaction have a positive effects on the organizational citizenship behavior. Especially, there is a mediating effect of job satisfaction in association with organizational culture and organizational citizenship behavior. This study finally discussed theoretical implications for future study and practical implications for organizational culture and job satisfaction strategies on the results.

• Korean Management Science Review
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• v.25 no.1
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• pp.139-147
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• 2008

Conjoint Analysis is marketers' favorite methodology for finding out how buyers make trade-offs among competing products and suppliers. Thousands of applications of conjoint analysis have been carried out over the past three decades. The conjoint analysis has been so popular as a management decision tool due to the availability of a choice simulator. A conjoint simulator enables managers to perform 'what if' question accompanying the output of a conjoint study. Traditionally the First Choice Model (FCM) has been widely used as a choice simulator. The FCM is simple to do, easy to understand. In the FCM, the probability of an alternative is zero until its value is greater than others in the set. Once its value exceeds that threshold, however, it receives 100%. The LOGIT simulation model, which is also called as "Share of Preference", has been used commonly as an alternative of the FCM. In the model part worth utilities aren't required to be positive. Besides, it doesn't require part worth utilities computed under LOGIT model. The simulator can be used based on regression, monotone regression, linear programming, and so on. However, it is not free from the Independent from Irrelevant Alternatives (IIA) problem. This paper proposes the EBA (Elimination-By-Aspects) model as a useful conjoint-like method. One advantage of the EBA model is that it models choice in terms of the actual psychological processes that might be taking place. According to EBA, when choosing from choice objects, a person chooses one of the aspects that are effective for the objects and eliminates all objects which do not have this aspect. This process continues until only one alternative remains.

• Management & Information Systems Review
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• v.15
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• pp.223-244
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• 2004

E-business is one of business innovations to get competitive advantage over other competing companies by utilizing information technology which can make to enhance the efficiencies and effectiveness through connecting one or several value activities. E-transformation is the process of business innovation to trans brick and motor companies to brick and click companies to accomodate e-business environments by means of digitalizing business strategy, business system, business process, and company cultures. In this results, the company can develop entirely new value chain of business and render enhanced services to customers. In this paper, I will represent several e-transformation evaluation models which are used to realize e-transformation(trans from brick and motor companies to brick and click companies). Also, I propose the strategic thrust model, which is composed of strategic targets (customer, suppliers, partners) and strategic tools(technology innovation, integration). This model is differentiated with evaluation models in that it can capture the rapidly changing business environments, especially strategic targets(customers, suppliers, partners).

• Asian Journal of Business Environment
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• v.1 no.1
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• pp.9-12
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• 2011

This study aimed to predict retail sales of local markets in Jinan city of China with the Huff model. Using the Huff Model, we examined whether the predicted retail sales of local markets may be different in Jinan, China, from the department stores, supermarkets, shopping centers/shopping malls, and home appliance stores. The probability that a customer shops at location depends upon the store size and the travel time factors calculated by the Huff Model. We found that the predictedretail sales of shopping malls have a greater value than others. People who live in a mid-sized city may have easier access to any stores within the city boundary than people in metropolitan areas. Therefore, people in a mid-sized city are more sensitive to store size, because a bigger store size means greater opportunities, incentivizing consumers to travel further to competing stores after passing by nearer, smaller stores. This study has some limitations. First, the data is somewhat restricted in that the subject stores do not represent all of the stores in Jinan. Second, we cannot compare the estimated market share of the stores and the actual sales data. It is further suggested in this study that more databases be developed throughout such East Asian countries as Korea and Japan and that a different parameter λ value in the Huff Model be utilized for mid-sized cities.