• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.578-588
• /
• 2016

Job satisfaction is the primary factor in determining happiness, so people change jobs when they aren't satisfied. In the case of insurance solicitors, high turnover rates imply low job satisfaction. Job stress impacts job satisfaction, and job stress is particularly prominent for insurance solicitors whose job involves working with customers face- to- face. The purpose of this study is to investigate factors influencing job satisfaction for insurance solicitors. Participants in this study consisted of 245 insurance solicitors from 3 insurance company located in Seoul, Kyonggi province and Kyongsang province. Data was collected from self-administrated questionnaires and analyzed using independent t-test, ANOVA, Pearson's Correlation Coefficient, and multiple regression. Job satisfaction showed a significant correlation with dysfunctional customer behavior, job stress, and ability to cope with stress. The main factors of job stress, stress coping ability, and income level had significant influence on job satisfaction for insurance solicitors. The explained variance for job satisfaction was 34%. These findings provide empirical evidence for the importance of job stress and stress coping variables in job satisfaction for insurance solicitors. This study aims to assist in predicting insurance solicitor's job satisfaction.

• The Journal of the Korea Contents Association
• /
• v.11 no.5
• /
• pp.433-448
• /
• 2011

In this study, an empirical analysis was made with intent to establish an appropriate marketing business strategy for customers by inquiring into the effect of service education of 250 Korean restaurant employees, who provide services for foreign tourists in Seoul area as professional customers, on service orientation and organizational effectiveness. The result is summarized as follows. The effect of service education of Korean restaurants' employees on service orientation showed that the typicality, reliability, confidence and empathy have a positive effect on the service orientation. For the effect of service orientation on organizational effectiveness, the service orientation had a positive effect on the job satisfaction and organizational effectiveness. In other words, it was proven that the typicality, reliability, confidence and empathy of employees education are key mechanisms in improving their behaviors and attitudes to aim for important customer-centered services. Consequently, the backup of these attitudes and customer-oriented behaviors can be connected to the increase of productivity, which enhances the organizational effectiveness.

• Journal of Korean Society of Transportation
• /
• v.24 no.2 s.88
• /
• pp.43-51
• /
• 2006

This Paper investigates how perceived Price, airline service aquality, perceived value. passenger satisfaction, and airline image determine passengers' future behavioural intentions. To test the conceptual framework, Path analysis using a maximum likelihood estimator, was applied to data collected from Korean international air passengers. It was found that all the hypothesized relationships were statistically significant. Perceived price. Perceived value, passenger satisfaction, and airline image were each found to Have a direct effect on Korean international air passengers future behavioural intentions.

• 한국IT서비스학회:학술대회논문집
• /
• 2008.05a
• /
• pp.409-415
• /
• 2008

본 연구는 판매원 개인적 요인 중 서비스 및 과업수행 경험기간을 고려하여 CRM의 기술도구인 영업자동화(Sales Force Automation: SFA이하)시스템을 받아들이는 판매원의 행동특성을 파악하고 그들은 어떤 일관된 신념과 데이터만족에 대한 과업기술적합성 그리고 사용행동을 보이는지 밝히고자 한다. 이는 고객과의 관계에서 실질적인 효과를 높일 수 있는 긍정적이고 적극적인 자세로 주도적인 판매 업무를 강화시키기 위한 것으로 판매원이 SFA 시스템 기술을 단순히 업무상으로 접근하는 것이 아니라 좀 더 효과적으로 기술을 수용하려면 판매원의 심리를 어떻게 파악해야하며 적절한 시스템에 적용 및 데이터 만족에 대한 과업기술적합성과 함께 유도하여 사용행동으로 이끌도록 하는데 의의가 있다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2023.11a
• /
• pp.343-344
• /
• 2023

본 연구는 국가중요시설의 청사 내에 근무하는 청사보안과 안전유지, 질서유지를 담당하는 방호직 공무원에게 발생하는 다양한 민원인 불량행동의 유형과 국가중요시설에서 일어나는 각 유형에 맞는 민원인 불량행동에 대한 개선방안을 효율적으로 제시하는데 그 목적이 있다. 이에 인터뷰를 통해 국가중요시설에서 근무하는 방호직공무원이 느끼는 민원인 불량행동이 어떠한 유형으로 있는지 조사하였고 개별면담을 통해 나타난 대표적인 민원인 불량행동의 유형들은 첫째, 국가중요시설 내에서 큰 소리를 지르고 욕설을 하는 언어폭력형 둘째, 각 국가기관 및 지자체의 국가중요시설에서 서비스 업무수행 과정 중 다른 타 민원인이 있음에도 본인 자신의 이익과 편의를 위해 행해지는 행위를 하는 이기주의형 셋째, 각 국가중요시설의 규정 및 내규가 있음에도 규정된 규칙을 무시하고 따르지 않는 규칙위반형 등이 있다. 이에 따라 각 유형별 민원인 불량행동에 대한 개선방안 항목들로 첫째, 방호직공무원 교육의 체계화, 둘째, 민원인을 응대할 수 있는 기관의 내규 및 규칙, 셋째, 민원인에게 겪는 스트레스를 해소할 수 있는 환경을 제시하였다.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.119-120
• /
• 2022

본 연구는 국가중요시설의 청사 내에 근무하는 청사보안과 안전유지, 질서유지를 담당하는 방호직 공무원에게 발생하는 다양한 민원인 불량행동의 유형과 국가중요시설에서 일어나는 각 유형에 맞는 민원인 불량행동에 대한 개선방안을 효율적으로 제시하는데 그 목적이 있다. 이에 인터뷰를 통해 국가중요시설에서 근무하는 방호직공무원이 느끼는 민원인 불량행동이 어떠한 유형으로 있는지 조사하였고 개별면담을 통해 나타난 대표적인 민원인 불량행동의 유형들은 첫째, 국가중요시설 내에서 큰 소리를 지르고 욕설을 하는 언어폭력형 둘째, 각 국가기관 및 지자체의 국가중요시설에서 서비스 업무수행 과정 중 다른 타 민원인이 있음에도 본인 자신의 이익과 편의를 위해 행해지는 행위를 하는 이기주의형 셋째, 각 국가중요시설의 규정 및 내규가 있음에도 규정된 규칙을 무시하고 따르지 않는 규칙위반형 등이 있다. 이에 따라 각 유형별 민원인 불량행동에 대한 개선방안 항목들로 첫째, 방호직공무원 교육의 체계화, 둘째, 민원인을 응대할 수 있는 기관의 내규 및 규칙, 셋째, 민원인에게 겪는 스트레스를 해소할 수 있는 환경을 제시하였다.

• The Journal of Korean Association of Computer Education
• /
• v.6 no.3
• /
• pp.27-36
• /
• 2003

Rccommender systems are being used by an ever-increasing number of E-Commerce sites to help consumers find products to purchase. Recommender Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different user' tastes. However, despite enormous interest in recommender systems, both the number of available published techniques and information about their performance are limited. In this paper. we design and implement an M-Commerce recommendation systems using the past buying behavior of the consumer, consumer information, and association rule mining.

• The Journal of Bigdata
• /
• v.2 no.2
• /
• pp.105-114
• /
• 2017

Today, many services are supported on the web sites. Analysis of usage patterns of web site visitors is very important to optimize the use and efficiency of the web sites. In this study, analysis of usage patterns and comparative analysis of user groups were conducted by analyzing web access log provided by BPI Challenge 2016. This data provides access logs to the web site in the IT system of a Dutch Employee Insurance Agency (UWV). The customer information, and the click data describing the customers' behavior when using the agency's web site. In this study, we use process mining techniques to analyze the usage patterns of customers and the characteristics of customer groups, and ultimately improve the service quality of customers using web services.

• Journal of Intelligence and Information Systems
• /
• v.7 no.1
• /
• pp.177-197
• /
• 2001

This paper is aimed at proposing a data mining-driven analysis to manage the customer defection rate in the bank. After 1997 IMF crisis, Korean banks were suffering from hard-pressed restructuring. At the heart of such restructuring effects, there was the need to manage the customer more effectively than ever. So far, many banks in Korea used to a poor management of customers without any highly-skillful techniques. In line with this argument, we propose several data mining techniques to determine more effective technique far managing customer deflection. We applied three data mining techniques such as logit model, neural network, and C5.0. Experiment data were collected from personal deposit account data of a specific bank in Korea. After experiments, we found that C5.0 showed more robust performance compared to other two techniques. On the basis of those experiment results, we proposed customer defection management policy.

• Journal of Digital Contents Society
• /
• v.19 no.1
• /
• pp.85-91
• /
• 2018

Most banks use only demographic information such as gender, age, occupation and address to segment customers, but they do not reflect financial behavior patterns of customers. In this study, we aim to solve the problems by using various big data in a bank and to develop customer segmentation method which can be widely used in many banks in the future. In this paper, we propose an approach of segmenting clustering blocks with bottom-up method. This method has an advantage that it can accurately reflect various financial needs of customers based on various transaction patterns, channel contact patterns, and existing demographic information. Based on this, we will develop various marketing models such as product recommendation, financial need rating calculation, and customer churn-out prediction based on this, and we will adapt this models for the marketing strategy of NH Bank.