• 제목/요약/키워드: Product Assessment

검색결과 831건 처리시간 0.025초

A Fuzzy Analytic Hierarchy Process (FAHP) Based on SERVQUAL for Hotel Service Quality Management: Evidence from Vietnam

  • NGUYEN, Phi-Hung
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.1101-1109
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    • 2021
  • Nowadays, quality affects product or service performance and customer loyalty in the competitive business' environment. This is truly important when it comes to how the customer interprets the service's satisfaction and the judgment of the purchase process as a whole, in view of the fact that service quality is an abstract and elusive construction due to the three characteristics of services: intangibility, heterogeneity, and inseparability of output and consumption. The main purpose of this paper is to determine the hotel service quality using the Fuzzy Analytic Hierarchy Process (FAHP) and SERVQUAL method. In this study, a five-star hotel's real case is considered in evaluating the service quality criteria. The results revealed that Tangibles and Assurance are the most critical service quality criteria in the hotel industry. Accurate records, service consistency, Necessary arrangements for disabled people, Service flexibility to guests' demands, and Providing the services at the time it promises are the most influencing sub-criteria of service quality. These findings indicate that hotels should concentrate on sequentially and organized priority factors to enhance service quality. This method of service quality assessment may also aid in distinguishing between hotels. Finally, as a future direction, more additional parameters can be used as a potential guide in our proposed model for the dynamic decision-making approach.

Analytical Quality by Design Methodology Approach for Simultaneous Quantitation of Paeoniflorin and Decursin in Herbal Medicine by RP-HPLC Analysis

  • Kim, Min Kyoung;Park, Geonha;Hong, Seon-Pyo;Jang, Young Pyo
    • Natural Product Sciences
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    • 제27권4호
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    • pp.264-273
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    • 2021
  • Simultaneous quantification of multiple marker compounds in herbal medicine by high performance liquid chromatography (HPLC) analysis is still a challenge due to the complexity in various parameters to be considered and co-existing multi-components. As a case study, a reliable HPLC method for simultaneous quantification of paeoniflorin from Paeoniae Radix and decursin from Angelicae Gigantis Radix in various commercial herbal medicine was developed based on analytical quality by design (AQbD) strategy. As a first step, risk assessment was performed to select the critical method parameters (CMPs) which were decided as organic mobile phase ratio and column oven temperature. In order to evaluate the effect of the CMPs on critical method attributes (CMAs) of peak resolution and tailing, central composite design (CCD) was employed. The final chromatographic conditions were optimized as follows: column- C18, 4.6 × 250 mm, 5 ㎛ particle size; mobile phase- A: acetonitrile, B: 0.1% acetic acid water; detection wavelength- 235 nm for paeoniflorin, 325 nm for decursin; column oven temperature- 25℃; flow rate- 1.0 mL/min; gradient mobile phase system as Time (min) : % A, 0:14, 25:14, 30:50, 60:50, 61:100, 65:100, 66:14, 75:14. The method was successfully validated according to the International Conference on Harmonization (ICH) guidelines and piloted for ten commercial herbal medicines.

Probability-based prediction of residual displacement for SDOF using nonlinear static analysis

  • Feng, Zhibin;Gong, Jinxin
    • Earthquakes and Structures
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    • 제22권6호
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    • pp.571-584
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    • 2022
  • The residual displacement ratio (RDRs) response spectra have been generally used as an important means to evaluate the post-earthquake repairability, and the ratios of residual to maximum inelastic displacement are considered to be more appropriate for development of the spectra. This methodology, however, assumes that the expected residual displacement can be computed as the product of the RDRs and maximum inelastic displacement, without considering the correlation between these two variables, which inevitably introduces potential systematic error. For providing an adequately accurate estimate of residual displacement, while accounting for the collapse resistance performance prior to the repairability evaluation, a probability-based procedure to estimate the residual displacement demands using the nonlinear static analysis (NSA) is developed for single-degree-of-freedom (SDOF) systems. To this end, the energy-based equivalent damping ratio used for NSA is revised to obtain the maximum displacement coincident with the nonlinear time history analysis (NTHA) results in the mean sense. Then, the possible systematic error resulted from RDRs spectra methodology is examined based on the NTHA results of SDOF systems. Finally, the statistical relation between the residual displacement and the NSA-based maximum displacement is established. The results indicate that the energy-based equivalent damping ratio will underestimate the damping for short period ranges, and overestimate the damping for longer period ranges. The RDRs spectra methodology generally leads to the results being non-conservative, depending on post-yield stiffness. The proposed approach emphasizes that the repairability evaluation should be based on the premise of no collapse, which matches with the current performance-based seismic assessment procedure.

Evaluating Conversion Rate from Advertising in Social Media using Big Data Clustering

  • Alyoubi, Khaled H.;Alotaibi, Fahd S.
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.305-316
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    • 2021
  • The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

Assessment of the Global Rating of Knee Function in Patients Following Anterior Cruciate Ligament Reconstruction

  • Ross, Michael D;Prall, Joshua
    • Physical Therapy Rehabilitation Science
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    • 제11권1호
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    • pp.1-7
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    • 2022
  • Objective: The purpose of this study was to assess the validity of the global rating of knee function as a measure of participation restrictions experienced during activities of daily living and sports by patients with a history of anterior cruciate ligament reconstruction (ACLR). Design: Cross-sectional study. Methods: Forty-three subjects (33 males, 10 females, age=20.3 ± 1.3 years), at a mean of 31.2 ± 14.4 months following ACLR, participated in this study. During testing, subjects were first asked to provide a global rating of function by assessing their level of knee function on a 0 to 100 scale, with 0 points representing complete loss of function due to their knee injury and 100 points representing their level of function prior to their knee injury. After providing a global rating of function, subjects completed the Knee Outcome Survey (KOS) Activities of Daily Living Scale (ADLS) and Sports Activity Scale (SAS), which served as the measure of participation restrictions in this study. Results: Pearson product correlations revealed moderate relationships between the global rating of function and the ADLS (r=0.66, p<0.0001) and SAS (r=0.69, p<0.0001). Conclusions: The global rating of knee function provides a valid measure of participation restrictions experienced during activities of daily living and sports by patients with a history of ACLR.

KANO 모형 기반 안전요구사항 평가 (Assessing Safety Requirements Based on KANO Model)

  • 이세정;장성록;서용윤
    • 대한안전경영과학회지
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    • 제25권3호
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    • pp.9-15
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    • 2023
  • As the first step of risk management, risk identification is inevitable to understand the degree of work safety. However, the safety requirements can be divided in necessary factors and additional factors. Thus, we propose a safety requirements assessment model using Kano model derived from Herzberg's two-factor theory, classifying safety requirements into ideal elements and must-be elements. The Kano model is usually applied to evaluate customer satisfaction divided into three major requirements in the fields of product development and marketing: attractive, must-be, and one-dimensional requirements. Among them, attractive requirement and must-be requirement are matched with ideal element and must-be element for safety requirement classification, respectively. The ideal element is defined as preventive safety elements to make systems more safe and the must-be element is referred to as fatal elements to be essentially eliminated in systems. Also, coefficients of safety measurement and safety prevention are developed to classify different class of safety requirements. The positioning map is finally visualized in terms of both coefficients to compare the different features. Consequently, the proposed model enables safety managers to make a decision between safety measurement and prevention.

The Suppression Effect of Garcinia Mangostana L. Pericarp Extract on Cerebral Neovascularization in Type 2 Diabetic Mellitus Rats

  • Muhammad Mufaiduddin;Vega Karlowee;Yora Nindita;Muflihatul Muniroh
    • Natural Product Sciences
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    • 제29권2호
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    • pp.91-97
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    • 2023
  • Mangosteen peel extract is a xanthone group, that plays an important role in anti-angiogenesis. This study investigated mangosteen peel extract on cerebral neovascularization in type 2 diabetes mellitus (DM) rats. This study used 36 rats, randomized into six groups: C1 (negative control); C2 (high fat diet (HFD) and mangosteen peel extract at 200 mg/kg BW); C3 (HFD and diabetic); E1, E2, and E3 (HFD, diabetic, and extract at 100, 200, and 400 mg/kg BW respectively). All groups were measured body mass index (BMI), homeostasis model assessment-insulin resistance (HOMA-IR) and β cell function (HOMA-B), and histopathological feature of cerebral vascular (CV). There were significant differences in BMI, HOMA-IR, HOMA-B, and the mean number of CV (all p < 0.05) among treatment groups. E1-3 groups had a significantly lower level of blood glucose and HOMA-IR, and a higher level of HOMA-B and BMI (all p < 0.05) which tends to reduce cerebral neovascularization. HOMA-IR independently had a positive effect to induce neovascularization of CV (p < 0.05, R2 = 26.8%). These findings suggested that mangosteen peel extract increased β-cell function sensitivity, and effectively suppressed insulin resistance, BMI, and cerebral neovascularization process in type 2 DM rats.

딥러닝 기반 뉴로사이언스 마이닝 기법을 이용한 고객 매력/유용성 인지 (CAUP) 예측 성능에 관한 탐색적 연구: Dark vs Light 사용자 인터페이스 (UI)를 중심으로 (Exploring the Performance of Deep Learning-Driven Neuroscience Mining in Predicting CAUP (Consumer's Attractiveness/Usefulness Perception): Emphasis on Dark vs Light UI Modes)

  • 김민경;;이건창
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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    • pp.19-22
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    • 2022
  • In this work, we studied consumers' attractiveness/usefulness perceptions (CAUP) of online commerce product photos when exposed to alternative dark/light user interface (UI) modes. We analyzed time-series EEG data from 31 individuals and performed neuroscience mining (NSM) to ascertain (a) how the CAUP of products differs among UI modes; and (b) which deep learning model provides the most accurate assessment of such neuroscience mining (NSM) business difficulties. The dark UI style increased the CAUP of the products displayed and was predicted with the greatest accuracy using a unique EEG power spectra separated wave brainwave 2D-ConvLSTM model. Then, using relative importance analysis, we used this model to determine the most relevant power spectra. Our findings are considered to contribute to the discovery of objective truths about online customers' reactions to various user interface modes used by various online marketplaces that cannot be uncovered through more traditional research approaches like as surveys.

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히트 상품 선정 10년의 현황 및 수렴 타당성 분석 :10개 주요 일간지들을 대상으로 (A Critical Review and Assessment of 10 Years of New Product Awards from 10 Major Newspapers)

  • 박찬수;이준석
    • Asia Marketing Journal
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    • 제4권4호
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    • pp.97-119
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    • 2002
  • 본 연구는 우리나라의 주요 일간지들이 실시해 온 히트상품 선정행사의 현황을 집계하고, 그 타당성을 분석하며, 이러한 선정 결과의 공신력과 타당성을 높이기 위한 방안을 제시하기 위하여 수행되었다. 이를 위하여, 본 논문에서는 지난 10년간 10개 주요 일간지들이 실시한 히트상품 선정행사와 여기에서 선정된 5269개의 히트상품들을 연구대상으로 삼았다. 연구대상 일간지들 중에서는 '히트상품'으로 선정되기 위한 요건을 규정하지 않은 경우와 선정 기준들을 연도별로 변경하는 경우가 많았다. 또한, 전적으로 객관적인 데이터에 의존하거나 전적으로 심사위원들의 판단에 의존하는 방식이 대부분이었다. 선정된 히트상품들의 수렴타당성에 있어서는, 일간지들간에 적지 않은 차이가 나타났으며, 특히 상위권의 일간지들과 하위권의 일간지들간에는 통계적으로 유의한 차이가 발견되었다. 위와 같은 분석 결과들을 토대로, 일간지들의 히트상품 선정행사의 타당성과 공신력을 높이기 위한 몇 가지 방안들을 제시하고 있다. 첫째, 선정 기준들을 핵심기준과 확장기준으로 이원화하여 선정 기준의 일관성과 융통성 사이의 조화를 이루어야 한다. 둘째, 히트상품의 대상을 출시 후 1년 이상 2년 미만의 상품으로 한정하여야 한다. 셋째, 상품의 상업적 성공여부와 함께 상품의 윤리성에 대해서도 충분한 고려를 하여야 한다. 넷째, 같은 카테고리에서 경합하는 경쟁 상품들을 동시에 선정하는 경우는 최대한 지양되어야 한다. 다섯째, 전문가들의 판단과 객관적인 데이터를 효과적으로 결합하는 방법에 대해서 보다 많은 연구가 필요하다.

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이란 발효 유제품에서 분리한 유산균의 특성 (Characterization and Identification of Lactic Acid Bacteria Isolated from Fermented Milks in Iran)

  • 박효주;박동준;오세종
    • Journal of Dairy Science and Biotechnology
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    • 제41권4호
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    • pp.211-218
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    • 2023
  • This study aimed to identify lactic acid bacteria isolated from eight fermented milk products in Iran. We enumerated Lactobacillus species using De Man-Rogosa-Sharpe (MRS)-maltose and MRS agar with pH adjusted to 5.2, as well as assessment at 37℃ for 48 hr, studied Streptococcus spp. using M17 agar at 43℃ for 24 hr, and assessed Bifidobacterium species using nalidixic acid, paromomycin sulfate, neomycin sulfate, and lithium chloride (BL-NPNL) agar at 37℃ for 48 hr. The total viable Streptococcus spp. cell in fermented milk varied at 4.73-8.83 log CFU/mL. However, Bifidobacterium spp. were not detected in any of the tested samples. Lactobacilli were not detected in four of the eight samples, and viable Lactobacilli cells in the remaining four samples ranged 2.48-3.85 log CFU/mL. The pH of the tested samples ranged 3.53-4.19, and soluble solids (Brix measurement) ranged 7.5%-17.9%. A total of 130 isolates of gram-positive catalase-positive bacteria were characterized at the species level using 16S rRNA sequencing. Sequence analysis identified six species: Streptococcus thermophilus, Lactobacillus delbrueckii subsp. sunkii, Lactobacillus delbrueckii subsp. indicus, Lactiplantibacillus plantarum, Lacticaseibacillus rhamnosus, and Levilactobacillus brevis.