• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.1
• /
• pp.97-102
• /
• 2019

There are many difficulties to define because there is no systematic classification and analysis method using accurate criteria or numerical values for creative people. In order to solve this problem, this study attempts to analyze how to distinguish creative people and what kind of personality they have when distinguishing creative people. In this study, I first survey the Big 5 personality trait, classify and analyze the data set using the data mining tool WEKA, and then analyze the data set related to the creativity The goal is to analyze the features using various machine learning techniques. I use seven feature selection algorithms, select feature groups classified by feature selection algorithms, apply them to machine learning algorithms to find out the accuracy, and derive the results.

• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.5
• /
• pp.65-84
• /
• 2017

This Study is Empirically Analyzed the Relationship among Personality, Job Satisfaction and Turnover Intention of Marketing Counselor of Mutual aid Fund for Small Enterprises and Small Enterprisers. The Collected 205 Counselors Data were Verified the Cause-and-effect Relationship and Mediated Effects among Variables by Exploratory Factor Analysis, Reliability Analysis, Multiple Regression Analysis. Personality Traits have a Significant Effect on Job Satisfaction and Turnover Intention. Job Satisfaction was Proved to have a Mediating Effect Between Personality Factors and Turnover Intention. In order to Encourage the Counselor to work and to Improve the Effectiveness of System, this Study Suggested the Necessity of Job Satisfaction Improvement Strategy According to Personality Characteristics of Counselor.

• Journal of Global Scholars of Marketing Science
• /
• v.17 no.4
• /
• pp.1-22
• /
• 2007

Customer satisfaction is important in an increasingly competitive and global marketplace. This implies that customer service is a critical factor for many organizations. In service encounter context, customer satisfaction is affected by employees' attitudes and behaviors. Accordingly, service firms have been focusing on selecting high quality of service employees, which resulted the ability to identify and select quality service- or customer- oriented employees to become critical for an organization's success. It was suggested that customer service orientation links to performance and subsequent organizational revenue. Moreover, it was found that service encounter failures were among the major reasons for customers' service switch. Therefore, the selection of customer service oriented employees is a key factor in establishing customer service - a potential source of sustained competitive advantage. However, the measurement of employee service orientation is more confusing than that of definitive answers. The difficulty of measuring service orientation is attributed to the use of broad versus narrow measures of personality. Advocates for the broad perspective prefer using basic personality constructs, such as the Big Five personality traits. On the contrary, the latter prefer a construct-oriented approach of personality research that provides a better measure of job performance because it requires the specification of the relationship of the personality traits with multiple dimensions of job performance. The customer service orientation was defined as "a set of basic individual predispositions and an inclination to provide service, to be courteous and to be helpful in dealing with customers and associates." Similarly, it is a fact that the Big five personality traits are predictors of customer orientation, and employee's self- and supervisor performance. They propose that basic personality traits may be too far removed from focal service behaviors to be able to predict specific service behaviors (customer orientation) and service worker performance. Also, customer orientation is defined as "an employee's tendency or predisposition to meet customer needs in an on-the-job context." This means that people who have job-relevant personality traits such as concern, empathy, and conscientiousness will be more adept at customer service than people who do not possess these traits. However, little attention has been given to the exploration of the service orientation of customer-contact employees who play a key role in creating satisfactory service encounters in the hospitality industry except for Kim, McCahon, & Miller (2003)'s study, especially in family restaurants context. Thus, the purposes of this study are to examine and validate the customer service orientation of customer-contact employees using the instrument developed by Donavan (1999) in Korean family restaurants, because the scale was developed to measure the personality traits related job behaviors. And this study explores the relationships between customer service orientation, job satisfaction, organizational commitment, and self service performance using structural equation modeling (SEM). And this study explores the relationships between customer service orientation, job satisfaction, organizational commitment, and self service performance using structural equation modeling (SEM). For these purposes the author developed several hypotheses as follows: H1: Employee's service orientation is associated with service performance. H2: Employee's service orientation is positively associated with job satisfaction. H3: Employee's service orientation is positively associated with organizational commitment. H4: Service performance is positively associated with job satisfaction. H5: Service performance is positively associated with organizational commitment. H6: Job satisfaction is negatively associated with organizational commitment. The data were collected from 278 employees in 5 deluxe hotels located in Pusan, Korea. The researcher contacted the manager of the restaurants, and managers consented to administer surveys to their employees. The survey was executed during one month period in the October of 2007. The data were analyzed with structural equation modeling with LISREL 8.7 W. The result of the overall model analysis appeared as follows: $X^2$=122.638 (p = 0.00), df=59, GFI=.936, AGFI=.901, NFI=.948, CFI=.971, RMSEA=.0625. Since the result of the overall model analysis demonstrated a good fit, we could further analyze our data. The findings can be summarized as follows: First, the greater the employee service orientation, the greater the service performance. Second, the greater the employee service orientation, the greater the job satisfaction. Third, the greater the employee service orientation, the greater the organizational commitment. Fourth, the greater the service performance, the greater the job satisfaction. Fifth, the greater the service performance, the greater the organizational commitment. Finally, the greater the job satisfaction, the greater the organizational commitment. Seventh, the greater the customer satisfaction, the greater the customer loyalty.

• Korean Journal of Cognitive Science
• /
• v.30 no.3
• /
• pp.133-156
• /
• 2019

To investigate how personality test items are understood by participants, their semantic representations were explored by Latent Semantic Analysis, In this thesis, Semantic Similarity Matrix was proposed, which contains cosine similarity of semantic representations between test items and personality traits. The matrix was compared to traditional factor loading matrix. In preliminary study, semantic space was constructed from the passages describing the five traits, collected from 154 undergraduate participants. In study 1, positive correlation was observed between the factor loading matrix of Korean shorten BFI and its semantic similarity matrix. In study 2, short personality test was constructed from semantic similarity matrix, and observed that its factor loading matrix was positively correlated with the semantic similarity matrix as well. In conclusion, the results implies that the factor structure of personality test can be inferred from semantic similarity between the items and factors.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.1
• /
• pp.9-16
• /
• 2023

In the IoT environment, various objects mutually interactive, and various services can be composed based on this environment. In the previous study, we have developed a resource collaboration system to provide services by substituting limited resources in the user's personal device using resource collaboration. However, in the preceding system, when the number of resources and situations increases, the inference time increases exponentially. To solve this problem, this study proposes a method of classifying users and resources by applying the BIG5 user type classification model. In this paper, we propose a method to reduce the inference time by filtering the user's preferred resources through BIG5 type-based preprocessing and using the filtered resources as an input to the recommendation system. We implement the proposed method as a prototype system and show the validation of our approach through performance and user satisfaction evaluation.

• Journal of Practical Engineering Education
• /
• v.11 no.2
• /
• pp.231-237
• /
• 2019

The purpose of this study is to identify differences in job-seeking efficacy and personality five factors between participants in the college's job support program and non-participants. The survey was conducted on 382 undergraduate students from D University in North Gyeongsang Province. Also, the difference between participants and non-participants in the job support program was verified. The principal results were as follows. First, the results showed that job-seeking efficacy of participants in job support programs was higher than that of non-participants. Second, difference between participants and non-participants in the job support program. In other words, extroversion, agreeableness, and conscientiousness among the five personality traits showed that participants in the job support program were higher than non-participants, while neurology and openness were not significant. The findings of this study indicated that personality traits may affect that participants can influence whether or not they participate in job support programs, indicating the need to come up with measures to encourage non-participating groups in the job support program to participate.

• Science of Emotion and Sensibility
• /
• v.19 no.1
• /
• pp.83-94
• /
• 2016

The purpose of this study is to find out the relationships of brain laterality, active EEG over all brain regions and personality traits by measuring EEG signals on the basis of the counseling psychology personality theories. For this study, the EEG of ninety-six college students as measured by an eight channel EEG device and analyzed through the computer and the data of their Big Five Personality Test were analyzed by statistical analysis. The result was that when theta's laterality at the prefrontal lobe is bigger, neuroticism is higher in the personality factors. On each of the brain regions, theta's activity on the left of the prefrontal lobe makes higher neuroticism but lower conscientiousness, and beta's activity on the left of the frontal lobe makes lower extroversion and openness to experience. These results showed that there are statistically meaningful relationships between the brain region activated specific EEG and individual personality or psychological traits. This study branched out into theta band while most previous studies measured in alpha and beta band. Also from these results it suggested the counseling strategy with the brain and follow-up studies.

• Journal of Korea Game Society
• /
• v.13 no.4
• /
• pp.5-14
• /
• 2013

This study is aimed at comparing and analyzing the response of playfulness level by personality type of players, according to the observations and results of behavior shown in SNG (Social Network Game) players during their play, in particular based on social behavior of SNG players. For this, the behavior of SNG players is classified into SC (Social Connectedness) and NC (Non-Social Connectedness) by space where they play games and the relations between behavior of each SNG player and their playfulness are confirmed by empirical experiment based on big-five personality traits possible standards of disposition expected from players. The results are presented that the playfulness for behavior of SNG players has distinct features by personality types and there is a significant difference between personality types for SC behavior. It could be useful for determining the proportion of playing behavior for Social Connect, generally known as one of main sources SNG provides when designing SNG play and considering personality types of players.

• Journal of Internet Computing and Services
• /
• v.17 no.3
• /
• pp.95-106
• /
• 2016

The purpose of this study was to examine how college students use Facebook and the ways in which they feel of commitment while using Facebook. The Big Five Personality Model has been considerably used in the psychology fields, and the researchers have started to explore the role of characteristic factors in influencing an individual's use of social media, such as Facebook which has become one of the most popular social networking site in the world. Therefore, the current study aims to specify the links between The Big Five Personality Model and usage patterns as well as commitment of Facebook. Two hundreds thirty five college students participated in a survey and the results are as follows: First, participants who were high in extraversion and agreeableness were more likely to do information sharing activities such as sharing posts to their friends, writing comments on the other's posts. In addition, participants who were high in openness to experience, conscientiousness, and neuroticism were more likely to do information producing activities including offering events, group, or public pages to meet people both on and offline. Second, in terms of the relationship between personality traits and commitment to the Facebook, the study found that extraversion and neuroticism were related to users' commitment to Facebook. These findings are consistent with the existing literature regarding extraversion and neuroticism were representative personality factors when it comes to commitment of media. Specifically, the study found that those who were high in neuroticism were more likely to produce information such as posting photos repeatedly or tagging their friends on posts, and also more likely to feel commitment on Facebook. These findings confirm that personality is a highly relevant factor in determining individual's behavior and the degree of commitment on Facebook. Based on these findings implications and limitations of the study are discussed.

• Journal of Digital Convergence
• /
• v.19 no.1
• /
• pp.361-371
• /
• 2021

Communication education research has focused on the effects of instructor characteristics on learning. It is necessary to consider student characteristics as well to develop an effective teaching strategy. The current study tries to classify students into multiple distinct groups depending on their personality traits and communication characteristics and investigates differences in effects of teacher characteristics between those groups. A survey on unversity students was conducted to collect data. A cluster analysis was carried out to identify distint sub-groups of respondents by their personality traits and communication characteristics. The analysis yielded two distinct groups. The two groups were named stable-reticent group', and 'neurotic-talkative group' respectivley. Series of multiple regression were carried out in order to investigate differences in the effects of instructor characteristics. The analyses found different patterns of effects between the two sub-groups. The findings suggest that it is necessary to adopt different communication styles and teaching strategies depending on student types.