• Journal of Global Scholars of Marketing Science
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• v.15 no.1
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• pp.61-79
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• 2005

A critical incident technique(CIT) was employed to show the results of empirical findings regarding hotel services. The major purpose of this study was to describe and analyze service failures from the customers' point of view and thus suggest strategic implications for hotel service providers. Four-hundred sixteen service failure anecdotes from hotel customers were classified using Hoffman et al.'s(1995) approach. The CIT data showed the three major categories and eleven sub-categories and revealed that, in general, tangible recovery(e.g., upgrade, free meal, discount) was more effective than intangible one(e.g., explanation, canned apology, manager's apology). Interestingly, however, sincere apology seemed to be a better recovery strategy than other types of tangible recovery. Furthermore, the results showed that severity of service failure had its own impact on customers' perception regarding hotel's service recovery efforts. In particular, irrespective of service recovery, severity of service problem was negatively related to intention to repurchase. Managerial implications and future research agenda was also discussed.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.127-139
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• 2019

This study aims to explore the impressive experiences of university students on YouTube media and to find ways to improve personal media as useful consumer information. 44 university students were selected, and data on the experience of using YouTube were collected and analyzed by applying the critical incident technique. As a result, the positive responses to personal media were derived from 'enhancing C2C information capabilities', 'consumer-centric usability', 'attractive information creators', 'a sense of the sameness', and 'fresh and entertaining information'. Negative responses were derived from 'spreading of harmful information', 'distrust in information creators', 'inducing excessive advertising and impulse buying', 'media addiction' and 'relative deprivation'. In addition, improvement of the personal media has been suggested. This study has differentiation and significance as a qualitative data for understanding consumer's perception and experience of personal media.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2003.10a
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• pp.225-230
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• 2003

원자력발전소의 안전성을 평가하는 확률론적 안전성평가(PSA) 기법 내에서 인간신뢰도분석(HRA： Human Reliability Analysis)은 파악된 사고경위 중 부적절한 인적행위사건에 대한 분석 및 평가를 담당하고 있다. 여러 HRA 전문가들이 제기하고 있는 기존 PSA HRA의 개선점 중 정성적 분석 관점에서 중요하게 고려되는 사항을 정리하면 다음과 같다. 첫째, 운전원의 진단 및 상황판단 또는 의사결정 단계에서의 특정한 오류 유발사항(error producing conditions or error forcing context)을 분석할 수 있는 방법이 필요하며, 둘째, 다양한 인적오류사건의 고려이다.(중략)

• Knowledge Management Research
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• v.25 no.2
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• pp.135-153
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• 2024

With the recent emergence of smart tourist cities, premium mobility is being considered an important means of transportation in the tourism. However, there has been insufficient research conducted on the experience of premium mobility among its users. Accordingly, this study used CIT to analyze the components of the user experience of customers who used premium mobility. In order to specifically identify the factors that make up the premium mobility experience, 366 cases of satisfaction and 13 cases of dissatisfaction were collected through a total of 273 online surveys. As a result of the study, based on the customer's experience using premium mobility, CIT was applied to derive 6 categories and 9 sub-factors that constitute the perception of premium mobility. In particular, this study is different from existing studies in that convenience was added as a new category out of the 6 categories, and wide ride comfort and high price were derived as new sub-factors among the 9 sub-factors. Because of this, it has academic significance. Therefore, if scales suitable for quantitative research are developed based on the derived constructs, they could be widely applied to various topics related to premium mobility in the tourism field.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.9
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• pp.424-433
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• 2001

The cyclic debugging approach often fails for message passing parallel programs because they non-deterministic characteristics due to message race conditions. This paper identifies the MPI events that affect non-deterministic executions, and then converts the concurrent execution to the sequential one that is controlled in order to make it equivalent to a reference execution by keeping their orders of events in two executions identical. This paper also presents an efficient algorithm for the causal distributed breakpoint which is initiated by any sequential breakpoint in one process, and restores each process to the earliest state that reflects all events that happened causally before the sequential breakpoint. So a cyclic debugging approach can be used in debugging MPI parallel programs as like as in debugging sequential programming environments.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.101-111
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• 2014

Spatial events are predictable using data mining classification algorithms. Decision trees have been used as one of representative classification algorithms. And they were normally used in the classification tasks that have label class values. However since using rule ranking methods, spatial prediction have been applied in the spatial prediction problems. This paper compared rule ranking methods for the spatial prediction application using a decision tree. For the comparison experiment, C4.5 decision tree algorithm, and rule ranking methods such as Laplace, M-estimate and m-branch were implemented. As a spatial prediction case study, landslide which is one of representative spatial event occurs in the natural environment was applied. Among the rule ranking methods, in the results of accuracy evaluation, m-branch showed the better accuracy than other methods. However in case of m-brach and M-estimate required additional time-consuming procedure for searching optimal parameter values. Thus according to the application areas, the methods can be selectively used. The spatial prediction using a decision tree can be used not only for spatial predictions, but also for causal analysis in the specific event occurrence location.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.304-314
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• 2023

The rapid development of digital technology is diversifying the fashion industry by influencing both the manufacturing processes and the characteristics of fashion products. Although various smart clothing technologies are being developed as part of the government's technology development policy, the number of smart clothing products available to consumers in stores remains very limited. To address this issue, this study analyzes the key attributes of smart clothing as expressed in consumer language. The CIT (Critical Incident Technique) research method was used, and data were collected through an online survey. The study focuses on identifying potential factors that may influence the development direction or strategy of smart clothing. By classifying past experiences and attitudes towards smart clothing into positive and negative categories, it was found that positive responses to smart clothing were heavily influenced by expectations from technology and convenience. Participants' experience with smart technology has had a positive impact on their evaluation of smart clothing. Consumers with negative attitudes towards smart clothing expressed expectations for new benefits resulting from technological development, and indicated that they would consider purchasing such clothing in the future when design and technology improve. Ultimately, this study provides a valuable reference for the development of smart clothing products in Korea by analyzing consumer experiences and acceptance conditions towards smart clothing.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.4
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• pp.187-194
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• 2008

Recently, the constructions of widening bridges or new bridges are often undergoing as a part of road widening because traffic volumes are rapidly increasing caused by fast-growing population and urbanization. But in general, there is no rational decision process and specification to justify the validity of the bridge widening. Moreover, there are also numerous events including various uncertainties involved in widening bridges. In this paper, therefore, a decision making model is proposed for widening bridges using decision tree based on quantitative LCC analysis considering a variety of uncertainties for the rational and practical approach to a quantitative decision making for alternatives.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.135-140
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• 2007

이탈 고객 예측은 데이터 마이닝에서 다루는 주요한 문제 중에 하나이다. 이탈 고객 예측은 일종의 분류(classification) 문제로 의사결정나무추론, 로지스틱 회귀분석, 인공신경망 등의 기법이 많이 활용되어왔다. 일반적으로 이탈 고객 예측을 위한 모델은 고객의 인구통계학적 정보와 계약이나 거래 정보를 입력변수로 하여 이탈 여부를 목표변수로 보는 형태로 분류 모델을 생성하게 된다. 본 연구에서는 고객과의 지속적인 접촉으로 발생되는 추가적인 사건 정보를 활용하여 연관성 규칙을 생성하고 이 결과를 기존의 방식으로 생성된 분류 모델과 결합하는 이탈 고객 예측 방법을 제시한다. 제시한 방법의 유용성을 확인하기 위해서 특정 국내 신용카드사의 실제 데이터를 활용하여 실험을 수행하였다. 실험 결과 제시된 방법이 기존의 전통적인 분류 모델에 비해서 향상된 성능을 보이는 것을 확인할 수 있었다. 제시된 예측 방법의 장점은 기존의 이탈 예측을 위한 입력 변수들 이외에 고객과 회사간의 접촉을 통해서 생성된 동적 정보들을 통합적으로 활용하여 예측 정확도를 높이고 실시간으로 이탈 확률을 갱신할 수 있다는 점이다.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.346-359
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• 2014

Black Friday, a biggest holiday shopping season in the United States, has been regarded as a great opportunity that fashion retailers can dramatically increase their sales. However, there has been a lack of attention to consumers' shopping experiences on Black Friday from the consumer perspectives. The objective of this study is to explore consumer shopping experiences on Black Friday, in terms of consumer responses toward the experiences, shopping values, and any possible factors influencing the experiences. The method of critical incident technique was used with 198 critical incidents extracted from 165 responses of university students in the United States. As results, the shopping experiences on Black Friday were categorized into positive vs. negative shopping experiences. After that, the positive and negative experiences were respectively divided into two common themes: utilitarian shopping value vs. hedonic shopping value. In addition to the common themes, 12 categories were also emerged. Among positive experiences, utilitarian shopping experiences includes two categories of off-price shopping and shopping for expensive products, whereas hedonic shopping experiences includes three categories of impulse buying, holiday atmosphere, and shopping for the latest or luxury brand products. Among negative experiences, utilitarian shopping experiences includes four categories of modest discounts, out of stock, time-consuming queues, and fatigue of holiday shopping, while hedonic shopping experiences includes three categories of crowded environments, compulsive buying, and poorly managed stores. In conclusion, it is notable that consumer can undergo negative as well as positive shopping experiences on Black Friday. Implications and suggestions are also discussed.