• Asia-Pacific Journal of Business
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• v.5 no.2
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• pp.37-50
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• 2014

Banking institutions have been facing variety of difficulties but the major cause of serious banking problems relates to lax credit standards for borrowers and counterparties, poor portfolio risk management, or a lack of attention to changes in economic or other circumstances that can lead to deterioration in the credit standing of a bank's counterparties. Although credit risk is an important factor that financial institutions should cope with, but the determinants of measuring credit risk have been studied less. This paper attempts to explore the determinants of credit risk measurement and to identify the factors that contribute to credit risk measurement practices in Indian banks and to compare credit risk measurement practices followed by Indian public and private sector banks, the empirical study has been conducted and views of employees of various banks have been tested using statistical tools. This study explored the phenomenon from different perspectives and revealed that single-name credit risk measurement and portfolio credit risk measurement are the key components that contribute to credit risk measurement in Indian banks. From the descriptive and analytical results, it can be concluded that Indian banks efficiently measure credit risk. The results also indicate that there is a significant difference between the Indian public and private sector banks in single-name credit risk measurement while, these banks do not significantly differ in portfolio credit risk measurement aspect.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.79-93
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• 2012

Despite growing interest and attention from researchers and practitioners in management studies, empirical research has been limited on how factors that influence an organization's business performance are affected by certain characteristics of enterprise information systems (IS), such as maturity and infrastructure. This study reports on an empirical analysis of survey data to identify relationships among the informatization level, the business environment, and IS maturity and infrastructure related to business performance-based on financial and non-financial performance measurements-from the perspective of 136 Taiwan firms. The survey questionnaire respondents were drawn from individuals in each of these firms who were typically working in divisions related to business performance functions. Structural equation modeling was used to test the hypotheses that came from the research model in this study.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.1
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• pp.72-80
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• 2005

The purpose of this study is to find the empirical relationship among information system quality, users' satisfaction and business productivities in hotel industry. This study set out the research model of influencing factors and the performance of the hotel information system. The respondents included 140 volunteers who were worked at hotel in Busan. The result of empirical study revealed that the system quality is major determinant to influence on the users' satisfaction and business productivities of hotel information system.

• Korean Management Science Review
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• v.24 no.2
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• pp.157-176
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• 2007

Fuzzy cognitive map(FCM) has long been used as an effective way of constructing the human's decision making process explicitly. By taking advantage of this feature, FCM has been extensively used in providing what-if solutions to a wide variety of business decision making problems. In contrast, the goal-seeking analysis mechanism by using the FCM is rarely observed in literature, which remains a research void in the fields of FCM. In this sense, this study proposes a new type of the FCM-based goal-seeking analysis which is based on utilizing the genetic algorithm. Its main recipe lies in the fact that the what-if analysis as well as goal-seeking analysis are enabled very effectively by incorporating the genetic algorithm into the FCM-driven inference process. To prove the empirical validity of the proposed approach, valid questionnaires were gathered from a number of experts on software sales, and analyzed statistically. Results showed that the proposed approach is robust and significant.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.987-998
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• 2020

This study aims to examine OL as a potential mediating variable in the relationship between IT and organizational performance. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Also, existing literature discusses the use of technology in the organization, and the case for OL as the key knowledge process, and the intersection between technology and OL as a knowledge-based means for improving organizational performance. Many studies use a descriptive measure of OL despite the theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed. To test the model, we will apply (SEM) structural equation modeling in the analysis of a moment structures (AMOS) on the empirical evidence collected from 218 Pakistani CEOs and top managers.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.865-874
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• 2020

In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.

• ETRI Journal
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• v.27 no.6
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• pp.747-758
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• 2005

The problem of selection among competing models has been a fundamental issue in statistical data analysis. Good fits to data can be misleading since they can result from properties of the model that have nothing to do with it being a close approximation to the source distribution of interest (for example, overfitting). In this study we focus on the preference among models from a family of polynomial regressors. Three decades of research has spawned a number of plausible techniques for the selection of models, namely, Akaike's Finite Prediction Error (FPE) and Information Criterion (AIC), Schwartz's criterion (SCH), Generalized Cross Validation (GCV), Wallace's Minimum Message Length (MML), Minimum Description Length (MDL), and Vapnik's Structural Risk Minimization (SRM). The fundamental similarity between all these principles is their attempt to define an appropriate balance between the complexity of models and their ability to explain the data. This paper presents an empirical study of the above principles in the context of model selection, where the models under consideration are univariate polynomials. The paper includes a detailed empirical evaluation of the model selection methods on six target functions, with varying sample sizes and added Gaussian noise. The results from the study appear to provide strong evidence in support of the MML- and SRM- based methods over the other standard approaches (FPE, AIC, SCH and GCV).

• Korean journal of food and cookery science
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• v.31 no.5
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• pp.635-641
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• 2015

This study considers the influence of the job satisfaction of employees at deluxe hotels and family restaurants on turnover intent, and seeks to analyze the moderating effects of company type (deluxe hotel and family restaurant) on the relationship between job dissatisfaction and turnover intent. Based on a total of 408 employees, this study reviewed the reliability and validity of the results obtained from empirical research using the Amos program. The hypothesized relationships in the model were tested simultaneously using structural equation modeling (SEM). The major findings are as follows. Job dissatisfaction was separated into five factors: the work itself, promotion, pay and benefits, supervision, and co-workers. The empirical results indicate that job dissatisfaction positively influences the turnover intent of employees. More specifically, the work itself (${\beta}=0.346$, p<0.001), and supervision (${\beta}=0.281$, p<0.001) significantly affects employees' turnover intent, whereas promotion, pay and benefits, and co-workers did not. Therefore, the turnover intent of employees at hotels and family restaurants decreased when they were motivated by strategies related to job dissatisfaction. In addition, the findings demonstrated that the company type moderated the effect of job dissatisfaction (e.g., co-worker) on turnover intent. Limitations and future research directions are also discussed.

• Journal of Korean Port Research
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• v.15 no.1
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• pp.1-18
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• 2001

The purpose of this study is to explore the nature of the relationship between several factors representing perceived port service quality and the adaptability to the marketing strategy of container terminal. An empirical study was carried out to examine not only the determinants of port service quality using PZB's SERVQUAL model but also its implications to the service marketing strategy. The data investigating the determinants of port service quality were collected from 136 managers from shipping companies by the use of questionnaire method. Factor analysis and t-test were carried out to analyze the data. The results of this study were as follows ; First, Shipping companies perceive the port service quality on two the dimensions of personnel and material aspects. Second, Shipping companies put more emphasis on the reliance of port service quality even though the port authority offers good facilities and materials as parts of port shipping quality. Third, There is a significant relationship between the purchase intention and the customer satisfaction. These findings help not only to formulate service marketing strategy based on service quality but also to be a concept tool to enhance port service quality.

• Journal of Navigation and Port Research
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• v.33 no.5
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• pp.339-344
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• 2009

This paper aims at identifying the effectiveness of the maintenance of container cranes in two typical container terminals in Pusan Port based on the empirical data For this the key performance indicator (KPI) was introduced with some information on world class standard level. Then, an empirical analysis was conducted with respect to the interaction of equipment maintenance KPI such as MMBF, PM, EM, and Breakdown ratio.