• Knowledge Management Research
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• v.20 no.3
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• pp.17-38
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• 2019

Rrecently, companies have made great efforts to satisfy various needs and heightened expectations of customers, and the importance of customer center as customer contact department for customer relationship management is increasing. In the knowledge ecosystem, corporate customer centers are emerging as a new alternative to acquiring corporate competitiveness by increasing sales and increasing market share by improving marketing support activities and customer relationship management at customer contact points. As a result, the interest in the customer center has increased rapidly because it provides the opportunity to contact with the customer. In addition, in the era of the fourth industrial revolution, the customer center, which is a collection of information and communication technologies, has a big databased voice recognition technology to elaborate customer service, thereby enhancing customer satisfaction and contributing to marketing through continuous interaction with customers. Of course, we have the opportunity to transform into the frontline business intelligence front for customer knowledge. This study is a comparative case study on how the customer center of K Life Insurance that takes the lead in the customer center industry has successfully renewed and established their key information systems to improve customer services and reinforce marketing support competencies. Based on the above, this study will present factors affecting successful implementation and settlement of the customer service information systems of customer centers by independently analyzing two individual cases.

• IE interfaces
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• v.18 no.3
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• pp.317-326
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• 2005

Staff scheduling is an important area, both from an academic and industrial point of view. It has become increasingly important as business becomes more service oriented and cost conscious in a global environment. There has been a lot of study to develop new and efficient staff scheduling models and methods. The purpose of this paper is not to develop new theoretical results but to develop a comprehensive user-friendly staffing model that can be applied to the real-world practice. The developed staffing software, OptStaff, provides the optimal configuration of the customer support center including the selection of customer support center locations, the allocation of staffs to each selected location, and schedules of staffs, so as to minimize the total cost while maximizing the customer satisfaction level. OptStaff also has capability to do scenario analysis by varying the levels of parameters and to create a variety of graphs and reports with user-friendly interfaces.

• Knowledge Management Research
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• v.17 no.3
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• pp.93-116
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• 2016

Knowledge, as a source of firm's competitive edges, has been drawing attention, while numerous enterprises are investing huge amount of assets to foster the right environments for executing knowledge management (KM). As a practical way of such KM, knowledge management systems (KMS) support the creation, diffusion, and utilization of knowledge, which are the tools for practicing such management style. Recently, the customer centers which make the closest contact with the customers are being concerned about the establishment of KMS. Considering the characteristics of real-time problem solving in customer centers during the consultation with the customers, the importance of KMS is paramount to the centers. This study analyzes major factors influencing the success and utilization of the customer center KMS's reestablishment, as an exploratory case study of the reestablishment of KMS in the customer center of K insurance company. First, the characteristic differences between the customer center's KMS and the traditional KMS are discussed, and the triangulation technique is applied to secure objectivity of this case study's findings. Major results of the case study state that, for the success of KMS and improvement of utilization, the followings should be considered preferentially: excellent system quality (accessibility, user convenience, easy searching, speed/menus); high information quality (accuracy, usefulness, timeliness, task-relevance, diversity, degree of specification); appropriate operation strategy and process for the utilization of system (education, training opportunity, appropriate personnel, speed and procedure of approval, compensation/evaluation); and change management via the support from the CEO's level (concern and participation of CEO, will to propel the project, investment, advertisement, etc.). This study provides practical suggestions with respect to factors which should be more carefully dealt with, since still many customer centers have hard time establishing and operating KMS due to lack of previous studies.

• The Journal of Industrial Distribution & Business
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• v.9 no.2
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• pp.27-38
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• 2018

Purpose - This study centers on field surveys aimed at deriving the customer satisfaction factors of customer support centers that are positioned between suppliers and consumers in the supply chain. They consists of manufacturing, sales, distribution, consumption and collection, and that are in charge of core functions for suppliers' customer satisfaction management and consumers' satisfaction with consuming activities. Research design, data, and methodology - The customer satisfaction factors of customer support centers were derived through literature review and expert opinion surveys, and a questionnaire was developed through a process of the refinement of variables using pilot tests and 330 questionnaire sheets were distributed. The questionnaire sheets were collected and opinions in them were analyzed using fuzzy AHP methodology. Results - Three factors, which are turnover intentions, motivation, and job satisfaction, were derived as customer satisfaction factors of customer support centers, and the ranking relationships of these three factors were analyzed. In addition, the ranking relationships among six execution variables of turnover intentions, 10 execution variables of motivation, and 10 execution variables of job satisfaction were analyzed using fuzzy AHP methodology to obtain quite significant results. Based on the results of this study, three implications in the three strategic aspects and an implication in the academic aspects are presented. Conclusions - Motivation and job satisfaction, job satisfaction and turnover intentions, and motivation and turnover intentions are not formed by independent or different factors or environments. They are in the same context with each other (maintaining high correlations) and are in the relationships of virtuous circles in which they complement each other.

• Journal of Information Processing Systems
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• v.6 no.1
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• pp.1-20
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• 2010

Due to the convergence of voice, data, and video, today's telecom operators are facing the complexity of service and network management to offer differentiated value-added services that meet customer expectations. Without the operations support of well-developed Business Support System/Operations Support System (BSS/OSS), it is difficult to timely and effectively provide competitive services upon customer request. In this paper, a suite of NGOSS-based Telecom OSS (TOSS) is developed for the support of fulfillment and assurance operations of telecom services and IT services. Four OSS groups, TOSS-P (intelligent service provisioning), TOSS-N (integrated large-scale network management), TOSS-T (trouble handling and resolution), and TOSS-Q (end-to-end service quality management), are organized and integrated following the standard telecom operation processes (i.e., eTOM). We use IPTV and IP-VPN operation scenarios to show how these OSS groups co-work to support daily business operations with the benefits of cost reduction and revenue acceleration.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.333-342
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• 2020

In this study, an interview survey was conducted for three months by a counselor who had experience of retractation of turnover intention to find out what factors played an important role in retractation of turnover intention. The results found that task shift, motivation, self-efficacy, and emotion control were the major factors in the retractation of counselor's turnover intention, while superior support and colleague support did nop affect. Among them, emotion control and task shift had more influence on retractation of turnover intention than other factors. The results of this study are expected to maximize the stabilization of the organization by lowering the turnover rate of counselor in the customer center department becoming more important in the enterprise and to provide an important theoretical basis for studies related to retractation of customer center counselor's turnover intention.

• Korean Architects
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• s.526
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• pp.38-43
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• 2013

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.88-94
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• 2008

This paper is proposed that ontology_based Oriental Medicine Customer Relationship Management system is designed with existing OCS, EMR, ERP system for oriental medicine center of efficient customer information management and analysis. As using ontology technique, we support oriental medicine service at grade according to quality and healthy of the customer. Also we designed 4 kind oriental medicine customer relationship management system frame - customer management, public relations/marketing, service management, statistics/analysis - in the customer management process standardization through a medical expert system.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.