• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.1129-1138
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• 2021

SMEs are constantly demanded of changes in the rapidly-evolving business environment, which involves the fourth industrial revolution and the COVID-19 pandemic. In this period, management consulting service becomes more in demand to provide technical and strategic solutions for management problems. This study aimed to empirically analyze the direct effects of emotional intelligence on job satisfaction and the indirect effects of such parameters as learning agility and self-efficacy on job satisfaction in management consultants. On the basis of a literature review, inter-variable association was designed in the research model. Based on an online survey of those in the Korean SME management consultants, this study collected 221 questionnaires then used structural equation modeling for statistical analysis. The results reveal that emotional intelligence significantly affected job satisfaction and, also significantly positively affected learning agility and self-efficacy. In addition, a significant indirect correlation could be found between learning agility and self-efficacy. Meanwhile, if learning agility and self-efficacy mediated job satisfaction, emotional intelligence had no significant effect on job satisfaction and fully mediated learning agility and self-efficacy. It is necessary to develop an emotional intelligence education program that can help management consultants improve their emotional intelligence with the objective of giving successful management consulting services.

• Journal of Distribution Science
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• v.14 no.4
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• pp.81-92
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• 2016

Purpose - In recent years, management scholars have expressed growing interest in the concept of person-Job fit because of having many benefits for employees' attitudes and behaviors. The related research is needed to determine what specific types of fit are related to each other, and to get important individual outcomes. Person-job fit of employees in service organization plays an important role in company as well as person in service industry. Person-job fit, representing the consistency between person (service provider) and job (service provided to the customers), gives significant and positive effects on the attitude and behavior of service provider. On the basis of the study background, the purpose of this study is as follows. First, we would like to examine the effects of person-job fit of service provider on their emotional intelligence. Emotional intelligence is divided into four sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Second, we would like to identify the relationships between job satisfaction and sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Research design, data, and methodology - We performed structural equation model using Spss 18.0 and Amos 20.0 in order to verify the hypotheses. Subjects were golf service assistants who were high-touching service with high degree in interaction and long contact time with customers. 178 out of the total 200 surveys were used in evaluation from helpers of golf service working as full-time service provider after selecting two locations of golf course located near Busan. From the evaluation of reliability and validity with variables used in this research, they satisfied and confirmed certain standard. Results - The results are as follows. First, as the results of identifying the relationships between person-job fit and emotional intelligence of service provider, person-job fit did not have positive and significant effect on self-understanding. On the other hand, it affected positively and significantly other factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation. Second, as the results of identifying the relationship between emotional intelligence and job satisfaction, sub-factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation except self-emotion affected significantly and positively job satisfaction. However, self-emotion did not have significant and positive effects on job satisfaction. Conclusion - These results will be valuable and used for service providers. In addition, many service providers will recognize that person-job fit is very important to get a job. This research has a purpose on the assumption that appropriateness between individual and task in service industry shall act as major influence in emotional intelligence of service provider. Recognitive ability of service provider is also very important per characteristics of service, but emotional intelligence that interacts and connected directly with most customers can be a very meaningful factor as well. Emotional intelligence allows people to recognize, understand, and empathize the emotion of customers shall be a positive reinforcement for customers to evaluate the service ultimately.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.527-535
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• 2021

Traditional business intelligence (BI) systems have been used widely as tools for better decision-making on time. On the other hand, building a data warehouse (DW) for the efficient analysis of rapidly growing data is time-consuming and complex. In particular, the ETL (Extract, Transform, and Load) process required to build a data warehouse has become much more complex as the BI platform moves to a cloud environment. Various BI solutions based on the NoSQL database, such as MongoDB, have been proposed to overcome these ETL issues. Decision-makers want easy access to data without the help of IT departments or BI experts. Recently, self-service BI (SSBI) has emerged as a way to solve these BI issues. This paper proposes a self-service BI system with farming data using the MongoDB cloud as DW to support the selection of new crops by return-farmers. The proposed system includes functions to provide insights to decision-makers, including data visualization using MongoDB charts, reporting for advanced data search, and monitoring for real-time data analysis. Decision makers can access data directly in various ways and can analyze data in a self-service method using the functions of the proposed system.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.126-134
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• 2016

This study examines effect in customer satisfaction of the emotional intelligence of members at service providing department in the hotel; A case of five star hotels in Dajeon Research hypotheses were developed based on previous literature, and data were collected from 350 employees working at the hotel restaurant service business located in Daejeon, ROK, were investigated herein The collected data were then analysed using frequence reliability For this research analysis, a self-recording method was used where and examiner explains the survey and respondents writhen down their answers to survey questions Statistical processing in this study was done through data cidubg and data cleaning then with the SPSS(Statistical Package for Social Science)v. 18.0. This result the emotional intelligence of service-providing employees at food service department of hotel was found to have a positive effect on customer satisfaction via understanding of others and emotional control. And the understanding of oneself, understanding of others and emotional control in emotional intelligence had a positive effect on job satisfaction. Emotional control, and emotioal use were found to affect organizational commitment positively.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.08a
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• pp.127-158
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• 2007

This study discusses salespersons' emotional intelligence, one of the key abilities necessary to meet customers' needs effectively, and express positive emotions in frequent interactions with customer. Emotional intelligence refers to self-controllability and social ability emphasizing pro-social aspect and understanding of others. This study investigates how salespersons' emotional intelligence affects adaptive selling and positive emotional expression during the process of interaction with customers, and how such adaptive selling and positive emotional expression affects the quality of service perceived by customers. The results show that greater salespersons' emotional intelligence results in better adaptive selling and positive emotional expression. Such adaptive selling and positive emotional expression had significant effects on the quality of service perceived by customers. These results are important in that they address emotional intelligence as salespersons' emotional ability, which has been overlooked as an antecedent variable for improving adaptive selling and display of positive emotion, consequently provide another factor to help salespersons improve their selling behavior.

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.100-105
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• 2021

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.37-51
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• 2009

One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self-organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.41-50
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• 2013

This paper aims to examine the effects on the relationships between Emotional Intelligence of Consultant and Consulting Service Quality. To accomplish these purposes, The questionaries of 260 were inspected to the PM have received consulting experience at the companies. The collected data were analyzed with SPSS 17.0 for Windows. This study used the statistical techniques such as descriptive analysis, reliability analysis, discriminant analysis, factor analysis, correlation analysis and multi regression analysis. Emotional Intelligence of Consultant presented a meaningful result(+) with Consulting Service Quality. but self emotional appraisal didn't present a meaningful result with Consulting Service Quality. and Emotional Intelligence of Consultant didn't present a meaningful result with tangible.

• Iberoamérica
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• v.13 no.1
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• pp.351-388
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• 2011

Many global business failures have been ascribed to a lack of intercultural competence, especially to a lack of an adequate conceptualization and definition of intercultural competence, focusing instead on the knowledge, skills, and attributes that appear to be its antecedents. Intercultural competence should be perceived as multifaceted important components of global management capabilities. Depending on the related concepts of intercultural competence, such as global mindset, intercultural sensitivity, and cultural intelligence, dynamic aspects of intercultural competence as learning process are suggested. Also, the domain of intercultural competence in the context of global management or business comprised three dimensions - perception management, relationship management, and self management. Each dimension is characterized by facets that further delineate aspects of intercultural competence. With respect to the domain of intercultural competence, appropriateintercultural training methods should be designed. In practice, human resource managers may benefit from gaining knowledge about which measures to use for identifying employee's weakness in intercultural competence in order to create appropriate training programs.