• Title/Summary/Keyword: Performance attribute

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A Study on the Intelligent Quick Response System for Fast Fashion(IQRS-FF) (패스트 패션을 위한 지능형 신속대응시스템(IQRS-FF)에 관한 연구)

  • Park, Hyun-Sung;Park, Kwang-Ho
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.163-179
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    • 2010
  • Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

Design and Performance Analysis of a Parallel Cell-Based Filtering Scheme using Horizontally-Partitioned Technique (수평 분할 방식을 이용한 병렬 셀-기반 필터링 기법의 설계 및 성능 평가)

  • Chang, Jae-Woo;Kim, Young-Chang
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.459-470
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    • 2003
  • It is required to research on high-dimensional index structures for efficiently retrieving high-dimensional data because an attribute vector in data warehousing and a feature vector in multimedia database have a characteristic of high-dimensional data. For this, many high-dimensional index structures have been proposed, but they have so called ‘dimensional curse’ problem that retrieval performance is extremely decreased as the dimensionality is increased. To solve the problem, the cell-based filtering (CBF) scheme has been proposed. But the CBF scheme show a linear decreasing on performance as the dimensionality. To cope with the problem, it is necessary to make use of parallel processing techniques. In this paper, we propose a parallel CBF scheme which uses a horizontally-partitioned technique as declustering. In order to maximize the retrieval performance of the proposed parallel CBF scheme, we construct our parallel CBF scheme under a SN (Shared Nothing) cluster architecture. In addition, we present a data insertion algorithm, a rage query processing one, and a k-NN query processing one which are suitable for the SN cluster architecture. Finally, we show that our parallel CBF scheme achieves better retrieval performance in proportion to the number of servers in the SN cluster architecture, compared with the conventional CBF scheme.

The Influence of Small Firm CEO's Entrepreneurial Attributes in the start-up phase on DFCA* and Business Performance - Focus on Mediating Effects of DFCA - (창업소기업 경영자의 기업가적 속성이 차별화 중심형 경쟁우위와 경영성과에 미치는 영향)

  • Lee, Keel-One;Park, Hyeon Suk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.1
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    • pp.69-82
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    • 2015
  • This Research is based on the theory of the prior researches that have demonstrated a positive impact of the entrepreneurship and competitive advantages on business performance. And the purpose of this research which approaches in the viewpoint of combining a entrepreneurial attribute including two factors(entrepreneurship and commercialization capabilities) and the differentiated competitive advantage as a role of core competence is to examine how the combined competence affects the business performance. In order to achieve this purpose, we conduct a survey for CEO of 250 small firms which belong to the start-up phase and are located in the 6 administrative region with the assistance of Small & Medium Business Administration representatives and analyze empirically the survey data by utilizing statistical program(Spss 18.0). As the results, we conclude that the entrepreneurial attributes of small firms' CEO and DFCA have a positive impact on business performance respectively and the entrepreneurship, one of the two entrepreneurial factors, has a positive impact on choosing DFCA. Also we report that DFCA plays a mediating role with regards to relationship between entrepreneurial attributes and business performance. Therefore, this research suggests the followings: First, the CEO of start-up business should focus on building a differential competitive advantage which is the basis for creating competitiveness from the initial point. Secondly, he should make a alignment for core competencies, in order to reach the stable growth phase in the shortest period, through which the entrepreneurial attributes is to be inherent as a discriminatory competitive competence. Third, he should promote to establish a business strategy based on strengthening of entrepreneurship and discriminatory competitive as a growth strategy during start-up phase.

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Compromised feature normalization method for deep neural network based speech recognition (심층신경망 기반의 음성인식을 위한 절충된 특징 정규화 방식)

  • Kim, Min Sik;Kim, Hyung Soon
    • Phonetics and Speech Sciences
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    • v.12 no.3
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    • pp.65-71
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    • 2020
  • Feature normalization is a method to reduce the effect of environmental mismatch between the training and test conditions through the normalization of statistical characteristics of acoustic feature parameters. It demonstrates excellent performance improvement in the traditional Gaussian mixture model-hidden Markov model (GMM-HMM)-based speech recognition system. However, in a deep neural network (DNN)-based speech recognition system, minimizing the effects of environmental mismatch does not necessarily lead to the best performance improvement. In this paper, we attribute the cause of this phenomenon to information loss due to excessive feature normalization. We investigate whether there is a feature normalization method that maximizes the speech recognition performance by properly reducing the impact of environmental mismatch, while preserving useful information for training acoustic models. To this end, we introduce the mean and exponentiated variance normalization (MEVN), which is a compromise between the mean normalization (MN) and the mean and variance normalization (MVN), and compare the performance of DNN-based speech recognition system in noisy and reverberant environments according to the degree of variance normalization. Experimental results reveal that a slight performance improvement is obtained with the MEVN over the MN and the MVN, depending on the degree of variance normalization.

The Influence of Internal And External Virtuous Behaviors on Job Performance: Focusing on the creating research model for the virtuous behaviors through qualitative research (내적·외적 미덕적 행위가 업무성과에 미치는 영향 - 질적 연구를 통한 연구모형 개발을 중심으로 -)

  • Ko, Sung-Hoon;Moon, Tae-Won
    • Management & Information Systems Review
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    • v.34 no.4
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    • pp.31-66
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    • 2015
  • The purpose of this research is to examine that internal virtue (i.e. virtue between organizational members) and external virtue (i.e. virtue between organizational members and external members) positively associate with job performance when considering organizational identification, positive work-related identity, affective commitment, emotional exhaustion, and collective self-esteem as mediators. Virtue in organization has received attention as critical attribute of positive organizational scholarship. Cameron(2003) defined the study of virtue as a study of the capacity, attributes, and reserve in organization that facilitates the expression of positive deviance among organization member. In addition, this study contributes to the qualitative investigation on how internal giving virtue (i.e. the employees' virtue for their organization), internal receiving virtue (i.e. virtue employees receive from their organization), external giving virtue (i.e. the organization's virtue for society), and external receiving virtue (i.e. virtue the organization receives from society), used as independent variables, influence job performance after creating research model for the four virtuous behaviors through qualitative research. Therefore, this research contributes to the creation of research model for virtuous behaviors within organizations and virtuous behaviors with external members through qualitative study and sheds light on how these variables influence job performance by virtue of qualitative research.

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A Study on Domestic Consumers' Needs and Importance-Performance Analysis of Selective Attributes for Developing Home Meal Replacement (HMR) Products (가정간편식 제품 개발을 위한 소비자의 요구도 및 선택속성의 중요도-만족도 분석)

  • Park, Sung-Bae;Lee, Hyun-Jun;Kim, Hae Young;Hwang, Hye-Sun;Park, Dae-Sub;Hong, Wan-Soo
    • Korean journal of food and cookery science
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    • v.32 no.3
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    • pp.342-352
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    • 2016
  • Purpose: This study conducted an Importance-Performance Analysis (IPA) of selective attributes of Home Meal Replacement (HMR) as well as it examined the consumers' needs and willingness to buy HMR products to explore the need for developing more HMR products. Methods: This study was conducted among domestic consumers living in Seoul and its metropolitan areas, in the age range from the 20s to the 50s, and who had experience in purchasing HMR products. From the 490 surveys retrieved, 472 (96.3%) valid surveys were analyzed. Results: The analysis of the frequency of consuming HMR products showed the following results: 247 respondents answered '1-3 times a month' (52.3%); 167 respondents stated '1-2 times a week' (35.3%). With respect to the reason of purchase, 'simplicity of the recipe' was the most common, accounting for 188 respondents (39.8%), followed by 'time efficiency' accounting for 172 respondents (36.4%). Analysis of the demand for bibimbap (mixed rice) HMR products showed that 'chicken bibimbap' had the highest preference with 5.32 points, followed by 'bulgogi bibimbap' (5.08 points), and 'kimchi bibimbap' (4.96 points). In the case of HMR products that need to undergo further development, 'low-sodium products' received the highest points of 5.41 points, followed by 'small packaged products' (5.05 points), and 'functional products' (4.98 points). The factor analysis of the 13 selective attributes showed that they can be divided into 3 factors. The IPA analysis of the selective attributes of HMRs showed 'hygiene', 'taste', 'easy to go packaging', 'convenience in intake', and 'accessibility' in the 1st quadrant. In the 2nd quadrant, 'price' and 'freshness' were shown as the factors. In the 3rd quadrant, 'easy to serve', 'familiar food menu', and 'consistent menu' were shown as the leading factors, and in the 4th quadrant, 'saving labor' was the only factor. Conclusion: Based on these results, the research concludes that with respect to developing HMR products, there is a high demand for low sodium, low calorie, small packaged products; thus, showing the need to develop various HMR products for customer satisfaction. Furthermore, it shows that there is a need to consider developing HMR products that can maintain freshness at an affordable price.

Effects of Platform-based Exploratory and Exploitative Technology Strategy on Firm's Performance: Nanotechnology case (탐험과 활용관점 플랫폼 기술 포트폴리오 전략이 성과에 미치는 영향: 나노기술을 중심으로)

  • Moon, Hee-Sung;Shin, Juneseuk
    • Journal of Technology Innovation
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    • v.27 no.1
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    • pp.45-77
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    • 2019
  • The balance between exploration for new possibility and exploitation for existing certainty is an important issue in strategy, innovation, R&D as well as organization learning. Among the convergence trends of technologies, many firms seek to have the wider technological knowledge assets and the deeper technology capabilities for the sustainable competitive advantage at the same time. While firms plan technology portfolio strategies, they should consider the attribute of the technology. Nanotechnology, a cutting-edge technology, is a general purpose technology, unlike conventional product-oriented technologies. This empirical study was focused on how multi-national firms' exploration and exploitation strategies for nanotechnology affect their innovative and financial performance. It uses multiple regression analysis on panel data. This result shows that the more diversified and specialized nanotechnology as platform technology is positively related to their innovative and financial performance, unlike the research results for product-oriented technologies. In addition, exploratory innovation is more effective to firm performance than exploitation. This implies how global firms can manage effectively platform technology strategies under the constraints of resources.

A Study on the Method of Scholarly Paper Recommendation Using Multidimensional Metadata Space (다차원 메타데이터 공간을 활용한 학술 문헌 추천기법 연구)

  • Miah Kam;Jee Yeon Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.1
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    • pp.121-148
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    • 2023
  • The purpose of this study is to propose a scholarly paper recommendation system based on metadata attribute similarity with excellent performance. This study suggests a scholarly paper recommendation method that combines techniques from two sub-fields of Library and Information Science, namely metadata use in Information Organization and co-citation analysis, author bibliographic coupling, co-occurrence frequency, and cosine similarity in Bibliometrics. To conduct experiments, a total of 9,643 paper metadata related to "inequality" and "divide" were collected and refined to derive relative coordinate values between author, keyword, and title attributes using cosine similarity. The study then conducted experiments to select weight conditions and dimension numbers that resulted in a good performance. The results were presented and evaluated by users, and based on this, the study conducted discussions centered on the research questions through reference node and recommendation combination characteristic analysis, conjoint analysis, and results from comparative analysis. Overall, the study showed that the performance was excellent when author-related attributes were used alone or in combination with title-related attributes. If the technique proposed in this study is utilized and a wide range of samples are secured, it could help improve the performance of recommendation techniques not only in the field of literature recommendation in information services but also in various other fields in society.

A Study on Qulity Perceptions and Satisfaction for Medical Service Marketing (의료서비스 마케팅을 위한 품질지각과 만족에 관한 연구)

  • Yoo, Dong-Keun
    • Journal of Korean Academy of Nursing Administration
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    • v.2 no.1
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    • pp.97-114
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    • 1996
  • INSTRODUCTION Service quality is, unlike goods quality, an abstract and elusive constuct. Service quality and its requirements are not easily understood by consumers, and also present some critical research problems. However, quality is very important to marketers and consumers in that it has many strategic benefits in contributing to profitability of marketing activities and consumers' problem-solving activities. Moreover, despite the phenomenal growth of medical service sector, few researchers have attempted to define and model medical service quality. Especially, little research has focused on the evaluation of medical service quality and patient satisfaction from the perspectives of both the provider and the patient. As competition intensifies and patients are demanding higher quality of medical service, medical service quality and patient satisfaction has emerged as a critical research topic. The major purpose of this article is to explore the concept of medical service quality and its evaluation from both nurse and patient perspectives. This article attempts to achieve its purpose by (1)classfying critical service attibutes into threecategories(satisfiers, hygiene factors, and performance factors). (2)measuring the relative importance of need criteria, (3)evaluating SERVPERF model and SERVQUAL model in medical service sector, and (4)identifying the relationship between perceived quality and overall patient satisfaction. METHOD Data were gathered from a sample of 217 patients and 179 nurses in Seoul-area general hospitals. From the review of previous literature, 50 survey items representing various facets of the medical service quality were developed to form a questionnaire. A five-point scale ranging from "Strongly Agree"(5) to "Strongly Disagree"(1) accompanied each statement(expectation statements, perception statements, and importance statements). To measure overall satisfaction, a seven-point scale was used, ranging from "Very Satisfied"(7) to "Very Dissatisfied"(1) with no verbal labels for scale points 2 through 6 RESULTS In explaining the relationship between perceived performance and overall satisfaction, only 31 variables out of original 50 survey items were proven to be statistically significant. Hence, a penalty-reward analysis was performed on theses 31 critical attributes to find out 17 satisfiers, 8 hygiene factors, and 4 performance factors in patient perspective. The role(category) of each service quality attribute in relation to patient satisfaction was com pared across two groups, that is, patients and nurses. They were little overlapped, suggesting that two groups had different sets of 'perceived quality' attributes. Principal components factor analyses of the patients' and nurses' responses were performed to identify the underlying dimensions for the set of performance(experience) statements. 28 variables were analyzed by using a varimax rotation after deleting three obscure variables. The number of factors to be extracted was determined by evaluating the eigenvalue scores. Six factors wereextracted, accounting for 57.1% of the total variance. Reliability analysis was performed to refine the factors further. Using coefficient alpha, scores of .84 to .65 were obtained. Individual-item analysis indicated that all statements in each of the factors should remain. On 26 attributes of 31 critical service quality attributes, there were gaps between actual patient's importance of need criteria and nurse perceptions of them. Those critical attributes could be classified into four categories based on the relative importance of need criteria and perceived performance from the perspective of patient. This analysis is useful in developing strategic plans for performance improvement. (1) top priorities(high importance and low performance) (in this study)- more health-related information -accuracy in billing - quality of food - appointments at my convenience - information about tests and treatments - prompt service of business office -adequacy of accommodations(elevators, etc) (2) current strengths(high importance and high performance) (3)unnecessary strengths(low importance and high performance) (4) low priorities(low importance and low performance) While 26 service quality attributes of SERPERF model were significantly related to patient satisfation, only 13 attributes of SERVQUAL model were significantly related. This result suggested that only experience-based norms(SERVPERF model) were more appropriate than expectations to serve as a benchmark against which service experiences were compared(SERVQUAL model). However, it must be noted that the degree of association to overall satisfaction was not consistent. There were some gaps between nurse percetions and patient perception of medical service performance. From the patient's viewpoint, "personal likability", "technical skill/trust", and "cares about me" were most significant positioning factors that contributed patient satisfaction. DISCUSSION This study shows that there are inconsistencies between nurse perceptions and patient perceptions of medical service attributes. Also, for service quality improvement, it is most important for nurses to understand what satisfiers, hygiene factors, and performance factors are through two-way communications. Patient satisfaction should be measured, and problems identified should be resolved for survival in intense competitive market conditions. Hence, patient satisfaction monitoring is now becoming a standard marketing tool for healthcare providers and its role is expected to increase.

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Evaluation of Perceived Importance and Satisfaction of Foodservice Selection Attributes in University Students in Beijing, China (중국 북경지역 대학 급식소 고객의 급식선택속성에 대한 중요도와 만족도 평가)

  • Fan, Ming-Ming;Bae, Hyun-Joo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.4
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    • pp.585-592
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    • 2016
  • This study was conducted to analyze the gap between importance and satisfaction of university foodservice attributes as well as to assess customer satisfaction with university foodservice establishments. All statistical analyses were conducted using the SPSS package program (ver. 20.0) for t-test, ANOVA, and Importance-Performance Analysis (IPA). A total of 619 valid responses were used for the data analysis. The results of this study are as follows: the composition of respondents was 53.5% males and 46.5% females. Exactly 85.5% of respondents ate lunch at least five times a week at the on-campus foodservice. The favorite lunch menus of Chinese university students were Chinese food (91.8%), followed by Western food (3.5%), Korean food (2.2%), and Japanese food (1.5%). According to the results of IPA, foodservice selection attributes that were priorities for improvement were food taste, food freshness, menu variety, waiting time for meal, and toilet cleanliness. In addition, five satisfaction factors were extracted by exploratory factor analysis. According to the results of one-way ANOVA, 'physical environment' and 'service quality' factors showed significant differences according to the students' grades and the frequency of eating lunch at on-campus foodservice. On the other hand, 'food quality and menu' and 'convenience and price' factors showed significant differences according to meal cost. In conclusion, in order to enhance customer satisfaction of on-campus foodservice, foodservice managers should offer a varied menu at reasonable prices and improve food quality.