• 제목/요약/키워드: 감정적 평가

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The Effect of Attribute Alignability and Certainty on Consumer Preference (제품속성의 정렬 가능성과 확실성이 제품 선호도에 미치는 영향)

  • Kim, Soo-Young;Song, Ju-Hun;Sohn, Young-Woo
    • Science of Emotion and Sensibility
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    • 제11권2호
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    • pp.153-172
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    • 2008
  • Products can maintain a high level of market share for many years by succeeding early in the development of a market. To overcome the benefit of pioneering a market, late entrants to the market can use differentiation strategies: developing novel attributes or enhancing preexisted attributes. In general, preexisted attributes are more memorable, but novel attributes can be weighted as heavily as preexisted attributes by contextual constraints. Based on the research of appraisal-congruent judgement, certainty appraisal dimension may affect the degree to which people engage in systematic or heuristic processing. This study examines the effects of alignability (the ease with which the attributes of one object can be aligned or mapped onto another object) of product attributes and certainty on consumer preferences for late entrants. Participants were induced to experience certainty and then completed a questionnaire. As predicted, participants induced certainty were likely to engage in heuristic processing, while participants induced uncertainty were likely to engage in systematic processing. This study provides an implication that companies should additionally consider consumers' feeling of certainty when launching a new brand.

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Hybrid Trust Computational Model for M2M Application Services (M2M 애플리케이션 서비스를 위한 하이브리드형 신뢰 평가 모델)

  • Kim, Yukyong
    • Journal of Software Assessment and Valuation
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    • 제16권2호
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    • pp.53-62
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    • 2020
  • In the end-user domain of an IoT environment, there are more and more intelligent M2M devices that provide resources to create and share application services. Therefore, it can be very useful to manage trust by transferring the role of the existing centralized service provider to end users in a P2P environment. However, in a decentralized M2M computing environment where end users independently provide or consume services, mutual trust building is the most important factor. This is because malicious users trying to build malfunctioning services can cause security problems in M2M computing environments such as IoT. In this paper, we provide an integrated analysis and approach for trust evaluation of M2M application services, and an optimized trust evaluation model that can guarantee reliability among users of the M2M community.

The Effect of Expertise and Communication on the Lovemark and Store Loyalty - Focused on High-Contact Service - (접점종업원의 전문성과 커뮤니케이션이 러브마크와 점포충성도에 미치는 영향 - 고접촉 서비스를 중심으로 -)

  • Chun, Myung-Hwan
    • Management & Information Systems Review
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    • 제34권5호
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    • pp.93-110
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    • 2015
  • This research is based on studies about functional service quality in service marketing field and tries to expand application of lovemark effect for service employee. To test the effect of service employee job attributes on lovemark as the antecedents, the analysis was held with customers who experienced specific service retail store recently. According to the research result, service employee job attributes factors including expertise and communication have positive effect on the lovemark. Furthermore, lovemark affected store loyalty significantly. The research has several marketing implication on service marketing and lovemark theory. For service providers, customers'perception of service employee's job attributes can present 'positive lovemark effect' and develop store loyalty in the service marketing perspectives.

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Cho Gwang-jo's Pure Conscience and Grief (조광조 도학의 이념적 순정성과 감성의 문제)

  • Lee, Sang Seong
    • The Journal of Korean Philosophical History
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    • 제30호
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    • pp.7-36
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    • 2010
  • Cho Gwang-jo(趙光祖, 1482-1519) was the moralist who had the purest conscience and aimed the devoted politics among many fellow Confucianists of Chosun Dynasty. He even criticized his teacher who was in his late forty years for not being able to control his emotions when he was just a teenager. That is to say, he was the one who have kept his cold reasons for entire life. Nevertheless, as mentioned before, Cho Gwang-jo was very faithful to his emotions and also very honest. We find that he was definitely emotional. He demanded to change the relationship between the king and the courtier to the one between the father and the son with humane communication. He expressed his mind and emotion he had used to have at the moment of his death: he loved his king just as he loved his father. However, the king, Joongjong, was indifferent at the human's emotion as if he was a senseless figure. That was the saddest frustration and grief he had. However, his grief did not remained just as the mere grief but again survived as the hope for the survivors and descendants with the big echo. In this respect, his gried did not just end as the grief but it can be said that it even revived itself as the strength and courage. Then, Cho Gwang-jo's life as a human being was never a failure. Moreover, his grief and agony did not just remained as the vain emotion and sadness.

Improvement of BigCloneBench Using Tree-Based Convolutional Neural Network (트리 기반 컨볼루션 신경망을 이용한 BigCloneBench 개선)

  • Park, Gunwoo;Hong, Sung-Moon;Kim, Hyunha;Doh, Kyung-Goo
    • Journal of Software Assessment and Valuation
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    • 제15권1호
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    • pp.43-53
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    • 2019
  • BigCloneBench has recently been used for performance evaluation of code clone detection tool using machine learning. However, since BigCloneBench is not a benchmark that is optimized for machine learning, incorrect learning data can be created. In this paper, we have shown through experiments using machine learning that the set of Type-4 clone methods provided by BigCloneBench can additionally be found. Experimental results using Tree-Based Convolutional Neural Network show that our proposed method is effective in improving BigCloneBench's dataset.

Self-Regulatory Mode Effects on Emotion and Customer's Response in Failed Services - Focusing on the moderate effect of attribution processing - (고객의 자기조절성향이 서비스 실패에 따른 부정적 감정과 고객반응에 미치는 영향 - 귀인과정에 따른 조정적 역할을 중심으로 -)

  • Sung, Hyung-Suk;Han, Sang-Lin
    • Asia Marketing Journal
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    • 제12권2호
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    • pp.83-110
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    • 2010
  • Dissatisfied customers may express their dissatisfaction behaviorally. These behavioral responses may impact the firms' profitability. How do we model the impact of self regulatory orientation on emotions and subsequent customer behaviors? Obviously, the positive and negative emotions experienced in these situations will influence the overall degree of satisfaction or dissatisfaction with the service(Zeelenberg and Pieters 1999). Most likely, these specific emotions will also partly determine the subsequent behavior in relation to the service and service provider, such as the likelihood of complaining, the degree to which customers will switch or repurchase, and the extent of word of mouth communication they will engage in(Zeelenberg and Pieters 2004). This study investigates the antecedents, consequences of negative consumption emotion and the moderate effect of attribution processing in an integrated model(self regulatory mode → specific emotions → behavioral responses). We focused on the fact that regret and disappointment have effects on consumer behavior. Especially, There are essentially two approaches in this research: the valence based approach and the specific emotions approach. The authors indicate theoretically and show empirically that it matters to distinguish these approaches in services research. and The present studies examined the influence of two regulatory mode concerns(Locomotion orientation and Assessment orientation) with making comparisons on experiencing post decisional regret and disappointment(Pierro, Kruglanski, and Higgins 2006; Pierro et al. 2008). When contemplating a decision with a negative outcome, it was predicted that high (vs low) locomotion would induce more disappointment than regret, whereas high (vs low) assessment would induce more regret than disappointment. The validity of the measurement scales was also confirmed by evaluations provided by the participating respondents and an independent advisory panel; samples provided recommendations throughout the primary, exploratory phases of the study. The resulting goodness of fit statistics were RMR or RMSEA of 0.05, GFI and AGFI greater than 0.9, and a chi-square with a 175.11. The indicators of the each constructs were very good measures of variables and had high convergent validity as evidenced by the reliability with a more than 0.9. Some items were deleted leaving those that reflected the cognitive dimension of importance rather than the dimension. The indicators were very good measures and had convergent validity as evidenced by the reliability of 0.9. These results for all constructs indicate the measurement fits the sample data well and is adequate for use. The scale for each factor was set by fixing the factor loading to one of its indicator variables and then applying the maximum likelihood estimation method. The results of the analysis showed that directions of the effects in the model are ultimately supported by the theory underpinning the causal linkages of the model. This research proposed 6 hypotheses on 6 latent variables and tested through structural equation modeling. 6 alternative measurements were compared through statistical significance test of the paths of research model and the overall fitting level of structural equation model and the result was successful. Also, Locomotion orientation more positively influences disappointment when internal attribution is high than low and Assessment orientation more positively influences regret when external attribution is high than low. In sum, The results of our studies suggest that assessment and locomotion concerns, both as chronic individual predispositions and as situationally induced states, influence the amount of people's experienced regret and disappointment. These findings contribute to our understanding of regulatory mode, regret, and disappointment. In previous studies of regulatory mode, relatively little attention has been paid to the post actional evaluative phase of self regulation. The present findings indicate that assessment concerns and locomotion concerns are clearly distinct in this phase, with individuals higher in assessment delving more into possible alternatives to past actions and individuals higher in locomotion engaging less in such reflective thought. What this suggests is that, separate from decreasing the amount of counterfactual thinking per se, individuals with locomotion concerns want to move on, to get on with it. Regret is about the past and not the future. Thus, individuals with locomotion concerns are less likely to experience regret. The results supported our predictions. We discuss the implications of these findings for the nature of regret and disappointment from the perspective of their relation to regulatory mode. Also, self regulatory mode and the specific emotions(disappointment and regret) were assessed and their influence on customers' behavioral responses(inaction, word of mouth) was examined, using a sample of 275 customers. It was found that emotions have a direct impact on behavior over and above the effects of negative emotions and customer behavior. Hence, We argue against incorporating emotions such as regret and disappointment into a specific response measure and in favor of a specific emotions approach on self regulation. Implications for services marketing practice and theory are discussed.

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Algorithm for the Analysis of business district using Pedestrian-Detection (보행자검출을 통한 상권 분석 알고리즘)

  • Lee, Seung-Ik
    • Journal of Software Assessment and Valuation
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    • 제17권2호
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    • pp.83-89
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    • 2021
  • In this paper, we propose an algorithm that provide services to consumers who want to conduct business by scientifically and systematically analyzing the number of pedestrians in a specific area over a specific period of time. In this paper, we proposed the algorithm to analyze the commercial area using the pedestrian-detect algorithm in the particular region using YOLO, one of the deep learning techniques. And with one image per minute in the images, the number of pedestrians is identified and this information is used for the analysis of business district on interesting area and time, systematically and objectively.

Analysis of Electrical Performance on Probe Pin (프로브 핀의 전기적 성능 분석)

  • Kim, Moonjung
    • Journal of Software Assessment and Valuation
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    • 제15권1호
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    • pp.109-114
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    • 2019
  • In this paper, simulations of S-parameter and characteristic impedance for the probe pin are performed and its high-frequency performance is analyzed. The probe pins are arranged with one signal pin in the center and four ground pins on the top, bottom, left and right sides. The insertion loss and return loss of the probe pin are calculated while increasing the separation between the probe pins to 0.35 mm, 0.40 mm, and 0.50 mm, respectively. It is confirmed that the probe pin has different features of the insertion loss due to its periodic resonance phenomenon. Effect of the characteristic impedance on pitch and assignment of the probe pin is also analyzed. It is verified that there are a number of ground pins whose characteristic impedance is close to 50 Ω.

A Study on Connections of Resources in Data Centers (데이터센터 자원 연결 방안 연구)

  • Ki, Jang-Geun;Kwon, Kee-Young
    • Journal of Software Assessment and Valuation
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    • 제15권2호
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    • pp.67-72
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    • 2019
  • The recent explosion of data traffic, including cloud services, coupled with the Internet penetration has led to a surge in the need for ultra-fast optical networks that can efficiently connect the data center's reconfiguable resources. In this paper, the algorithms for controlling switching cell operation in the optical switch connection structure are proposed, and the resulting performance is compared and analyzed through simulation. Performance analysis results showed that the algorithm proposed in this paper has improved the probability of successful multi-connection setup by about 3 to 7% compared to the existing algorithm.

Study on Development of Automated Program Model for Measuring Sensibility Preference of Portrait (인물사진의 감성 선호도 측정 자동화 프로그램 모형 개발 연구)

  • Lee, Chang-Seop;Jung, Da-Yeon;Lee, Eun-Ju;Har, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • 제18권9호
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    • pp.34-43
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    • 2018
  • The purpose of this study is to develop measurement program model for a human being-oriented product through the between the evaluation factors of portrait and general preferences of portraits. We added new items that are essential to the image evaluation by analysing previous studies. In this study, We identified the facial focus for the first step, and the portraits were evaluated by dividing it into objective and subjective image quality evaluation items. RSC Contrast and Dynamic Range were selected as the Objective evaluation items, and the numerical values of each image could be evaluation items, and the numerical values of each image could be evaluated by statistical analysis method. Facial Exposure, Composition, Position, Ratio, Out of focus, and Emotions and Color tone of image were selected as the Subjective evaluation items. In addition, a new face recognition algorithm is applied to judge the emotions, the manufacturer can get the information that they can analyze the people's emotion. The program developed to quantitatively and qualitatively compiles the evaluation items when evaluating portraits. The program that I developed through this study can be used an analysis program that produce the data for developing the evaluation model of the product more suitable to general users of imaging systems.