• 산경연구논집
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• 제12권3호
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• pp.7-19
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• 2021

Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

• 대한안전경영과학회지
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• 제21권2호
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• pp.15-23
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• 2019

Among service industries of knowledge based economic era, the roles of educational service field are becoming more important and standard of educational service makes a direct effect on economic development and social growth. Therefore, accurate measurement of service quality is the most important assignment and the measurement of the service quality remains difficult assignment. So, this researcher classified quality attributes applying weighted value and found potential satisfaction level(PSL) and potential customer demand improvement index(PCDI) for trainees participating in national manpower business so as to suggest measurement of service quality and easiness of use and then, calculated satisfaction position and opportunity cost by quality factor with Taguchi's loss fraction. And, improvable satisfaction level was measured, opportunity cost by degree of customer dissatisfaction was quantitatively measured, and a model that can indicate with economic factors was suggested. In addition, methodology of measuring quality cost that can be reduced by quality improvement and direction of strategic decision-making for deciding items to be improved preferentially were suggested with qualitative index that can indicate the degree of customers' dissatisfaction by loss.

• 대한안전경영과학회지
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• 제8권4호
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• pp.181-193
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• 2006

The purpose of this thesis addresses a development of an expert system to support a decision making of the vender selection. The researches related to the vender selection problems have been studied and they provide 23 criteria to select proper venders. In this thesis, 8 criteria have been used to construct a knowledge base of the expert system. The system in this thesis consists of 6 steps in its procedure. Step 1 decides a specification that satisfies customer's needs and Step 2 chooses a part supplied by a vender. The type of an outside order is decided in Step 3 and some venders satisfying the customer's needs are selected in Step 4. Some of the venders chosen from step 4 which do not satisfy the fatal cirteria(that is Quality, Delivery, Price) can be deleted in Step 5. In the last step, 8 cirteria is used to select 3 venders according to their ranking. Consequently, this program provides for a man, who does not have the experiances, an efficient way to select appropriate venders in the vender selection problems.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2003년도 창립학술대회
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• pp.11-24
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• 2003

It is far more expensive for companies to acquire new customers than it is to retain customers. As a result, companies are turning to Customer Relationship Management (CRM) in order to make decisions about managing the relationship and the profitability of those customer relationships. CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining and Data Warehousing in order to support the organization's decision -making process to retain long-term and profitable relationships with its customers. This paper examines the design implications that CRM poses to data warehousing. We then present a robust data warehouse schema to support CRM analyses and decisions. For example, the proposed schema could be used to calculate customer profitability and to identify social networks of influence between customers. The paper also discusses future areas for research pertaining to CRM data warehousing and data mining.

• 품질경영학회지
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• 제36권4호
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• pp.65-76
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• 2008

The purpose of this study is to contribute to escalation of a management quality of local public enterprise through integrating local public enterprise evaluation(LPEE) and Malcolm Baldrige Model(MBM). In order to achieve the purpose, I suggested that develop an integration model of LPEE and MBM criteria and use AHP(Analytic Hierarchy Process) as a technique posting weight value to criteria. Of two suggests, it is the former to date or discuss seriously. Therefore the integration model is redesigned for leadership/strategy category(leadership, strategy), management system category(customer management system, business management system, measurement/knowledge management system), and management result category(business result, customer satisfaction result, human resource management result, financial management result).

• 한국경영과학회지
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• 제33권3호
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• 산업경영시스템학회지
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• 제44권4호
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• pp.85-97
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• 2021

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2001년도 학술대회지
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• pp.333-336
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• 2001

향후 미래의 산업에 있어서는 조직의 노하우, 인적자원의 의욕과 역량, 고객 만족도와 같은 보이지 않는 무형의 자산이 더 많은 기업가치를 창출하는 시대이다. 이러한 무형의 지식자산을 어떻게 운영하느냐가 기업의 성장 잠재력과 경쟁력에 영향을 미치게 된다. 건설업 또한 이러한 경영 패러다임의 변화에 따라, 지식경영을 도입하고자 노력하고 있다. 대형 건설업체의 경우 지식관리 시스템을 구축하여 자체적으로 자사의 지식을 관리하려는 시도를 보이고 있으나, 건설업의 지식자산에 대한 정의와 구성요소를 명확히 제시하지는 못하고 있는 실정이다. 지식자산의 분류방안에 대하여 수행된 기존의 연구들은 지식자산의 분류가 건설업을 기반으로 만들어진 것이 아니기 때문에, 이를 건설업의 지식자산 분류에 일방적으로 적용하는 것보다는 건설업의 특성을 고려한 건설업 지식자산에 대한 정의와 분류방안이 필요하다. 또한, 이러한 지식자산 분류체계를 바탕으로 하여, 향후, 기업 지식자산을 위한 평가모델 작성, 지식관리 시스템 구축을 위한 지식 맵으로의 활용이 가능할 것이다.

• 지식경영연구
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• 제22권3호
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• pp.55-73
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• 2021

공유 경제는 쓰지 않은 자원을 다른 사람들과 나누어 쓰는 협력적 소비로 인식되고 있다. 본 연구에서는 공유 숙박업 이용 고객들의 충성도에 영향을 미치는 요인들을 살펴보고자 하였다. 고객들이 공유 숙박업 경험에서 느낀 감정과 자아 이미지 일치성, 인지된 가치를 고객 충성도에 영향을 주는 선행요인으로 고려하였다. 그리고 진정한 경험, 숙소 시설, 가격 공정성을 공유 숙박업의 선택속성으로 고려하였다. Airbnb가 공유 숙박업에서 가장 큰 업체이기 때문에 설문 대상으로 선정하였다. 294명의 Airbnb 이용 고객 데이터를 바탕으로 구조 방정식 모형을 활용하여 요인들 간 관계를 분석하였다. 또한, Airbnb를 이용한 고객이 작성한 리뷰를 통해 고객이 어떤 사항을 중요하게 고려하였는지 살펴보았다. 이를 위해 네이버 블로그에서 Airbnb 리뷰를 수집하여 LDA기반 토픽모델링을 실시하였다. 본 연구 결과를 통해 공유 숙박업에 대한 고객들의 충성도에 영향을 미치는 요인들에 대한 이해를 바탕으로, 효과적인 마케팅 전략과 운영 관리 전략을 수립하는데 도움을 줄 수 있을 것으로 기대된다.

• 아태비즈니스연구
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• 제3권1호
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• pp.39-47
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• 2012

Organizations pursue a CRM strategy for the purpose of increasing business performance and value. However, firms face a multitude of organizational challenges associated with this endeavor. To reduce their risk of failure, it is suggested that firms undertake a deep analysis of organizational readiness prior to committing to a CRM initiative. Insurance sector is no exception to this fact. There is an increased need to concentrate on the various challenges thrown open by the public insurance firms in implementing CRM. Many insurance firms have invested into customer driven CRM but research indicates varying outcomes (Schmith 2004). While it is clear that there are significant issues involved in the CRM implementation and success and environment faced by the public sector. It is clear that business should have an easier time in applying CRM systems is the strategic value for public sector. With customers demanding more service and accessibility from administrators, public sector CRM software technologies have to offer best solutions for achieving process and cost objectives (Souder 2001). With results which go far beyond improved service delivery and include sustained cost reductions, increased customer knowledge and better employee morale, CRM software implementation and post product environments offer great upside value. Although there are material differences in public sector use of CRM strategy, they share at least one glaring similarity - they have much to gain from proven CRM software technology. As business methods cross over in the public sector, many government bodies are investigating how they can adopt and adapt various CRM models (Bleyer 2003). There is a need to understand the similarities and differences in public sector CRM to foster shared knowledge, business processes and planning functions to integrate disparate technologies and software platforms and then, of course, the organizational culture to support knowledge sharing (Peters 1997). For the public sector, there are clearly identified CRM processes which have resulted in increased profits and improved efficiency. These have focused on sales, marketing and customer service activities, which often operate along fundamentally different lines in various public sector insurance companies. Thus the present research paper makes an attempt to explore how public sector CRM methods can be adopted and subsequently adapted.