• Title/Summary/Keyword: Information Attributes

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Health-care Service Quality Improvement Using Walk-through Audit (현장실사에 의한 의료 서비스품질 개선방안 모색)

  • Riew, Moon Charn;Shin, Ji Yeon
    • Journal of Korean Society for Quality Management
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    • v.41 no.4
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    • pp.527-539
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    • 2013
  • Purpose: Methods for increasing health-care service quality are considered for a women-centered hospital located on a local city. A walk-through audit is applied to uncover areas for improvement. Methods: A survey questionnaire with 25 questions is constructed based on a service blueprint for a walk-through audit, and a survey is conducted both to patients and service providers to assess a health-care service quality. Frequency analysis, statistical tests and customer-provider analysis are used to analyze surveyed data. Results: According to customer-provider analysis, 6 attributes belong to 'problem unawareness' zone in which they are rated high by service providers but low by patients, and another 6 attributes belong to 'problem awareness' zone in which they are rated low by both groups. These attributes are considered to be improved with priority. Conclusion: Both patient group and service provider group have lots of different perceptions on most attributes that are examined, and the hospital to be studied is, in general, competitive in technical quality and less competitive in functional quality.

Effect of the Recognition on Hotel Customer's Economic Environment on Attributes of Hotel Selection and Customer Loyalty (호텔고객의 경제환경 인식이 호텔선택속성과 고객충성도에 미치는 영향)

  • Lee, Chae-Eun
    • The Journal of the Korea Contents Association
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    • v.10 no.10
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    • pp.359-367
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    • 2010
  • The purpose of this research is to examine the effect of the recognition on hotel customer's economic environment on attributes of hotel selection and customer loyalty. This research could suggest that the results of this research will help to establish positive strategies in all the processes of decision-making by customers who directly influence the behaviors of hotel customers as data of management of hotel companies. Firstly, detailed verification findings of regression analysis the recognition on economic environment and attributes of hotel selection were suggested as following; Recognition on economic environment influenced on guest room service, front service, food and beverage service, general environment, subsidiary facilities. Secondly, in case of the recognition on economic environment and customer loyalty, outer economy environment and information environment effected on customer loyalty.

Using Choice-Based Conjoint Analysis to Determine Smartphone Choice - a Student's Perspective

  • Baganzi, Ronald;Shin, Geon-Cheol;Wu, Shali
    • Journal of Information Technology Applications and Management
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    • v.24 no.4
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    • pp.93-115
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    • 2017
  • The ability of smartphones to facilitate various services like mobile banking, e-commerce and mobile payments has made them part of consumers' lives. Conjoint analysis (CA) is a marketing research approach used to assess how consumers' preferences for products or services develop. The potential applications of CA are numerous in consumer electronics, banking and insurance services, job selection and workplace loyalty, consumer packaged goods, and travel and tourism. Choice-Based Conjoint (CBC) analysis is the most commonly used CA approach in marketing research. The purpose of this study is to utilise CBC analysis to investigate the relative importance of smartphone attributes that influence consumer smartphone preference. An experiment was designed using Sawtooth CBC Software. 326 students attempted the online survey. Utility values were derived by Hierarchical Bayes (HB) estimation and used to explain consumers' smartphone preferences. All the six attributes used for the study were found to significantly influence smartphone preference. Smartphone brand was the most important, followed by the price, camera, RAM, battery life, and storage. This study is one of the first to use Sawtooth CBC analysis to assess consumer smartphone preference based on the six attributes. We provide implications for the development of new smartphones based on attributes.

Effect of Application Service Quality Attributes on Perceived Value and Post-Purchase Behavior Intentions (식품 관련 앱(APP) 서비스 품질 속성이 서비스 이용자의 지각된 가치와 구매 후 행동의도에 미치는 영향)

  • Kim, Semi;Park, Sanghyun;Joo, Nami
    • Journal of the Korean Dietetic Association
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    • v.26 no.3
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    • pp.208-220
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    • 2020
  • In modern society, the online to offline (O2O) market has become an emerging market. Based on social and cultural phenomena, the importance of "FOODTECH" linked with mobile applications is growing in the food and restaurant industry. This study examined subjective food application service quality, perceived value, and post-purchase behavior intentions. According to this study, of foodtech service quality attributes, only information, mobility, and reliability had positive (+) relationships with perceived value. However, foodtech service quality attributes did not have a direct impact on behavior intentions. Perceived values had a positive (+) relationship with behavior intentions and showed full mediation effects between foodtech service quality attributes and behavior intentions. Based on these results, future research on the relationship among food application service quality, perceived value, and post-purchase behavior intentions is needed.

The Sharing Economy Business Model per the Analysis of Value Attributes (공유경제 비즈니스 모델의 가치 요인 분석)

  • Lee, Junmin;Hwang, Junseok;Kim, Jonglip
    • Journal of Information Technology Services
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    • v.15 no.4
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    • pp.153-174
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    • 2016
  • On account of multiple causes, including prolonged global economic crisis, addressing environmental pollution and the advent of hyper-connected society, a new paradigm called 'sharing economy' has rapidly emerged. Many startups have attempted to build promising business model based on the sharing economy concept. Nevertheless, successful cases are still very rare in the global level, except for Uber and Airbnb cases. Therefore, this study analyzes necessary causes and sufficient causes for successful settlements in the market through a comparative case analysis on digital matching firms in the sharing economy businesses. For the case study, we compare five successful cases (Uber, Airbnb, Kickstarter, TaskRabbit and DogVacay), three failure cases (Homejoy, Ridejoy and Tuterspree) and a platform cooperativism case (Juno) in accordance with six value attributes of business model including value proposition, market segment, value chain, cost structure and profit potential, value network and competitive strategy. We apply Boolean method to support controlled comparison and eliminate unnecessary attributes. The Boolean analysis result shows that value proposition, cost structure and profit potential, value network and competitive strategy are the essential attributes. Furthermore, the result indicates that each attribute is a necessary condition, where all four conditions should be met simultaneously in order to be successful. With this result, we discuss essential consideration for those who are planning startup based on the sharing economy business model.

The Influence of Cooking Wine on Food Quality Attributes (조리용 와인이 음식의 품질 속성에 미치는 영향)

  • Ryul, Cheol;Choi, Sung-Man
    • Journal of the East Asian Society of Dietary Life
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    • v.17 no.4
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    • pp.532-539
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    • 2007
  • The purpose of this study was to investigate the influence of cooking wine's functions on food quality attributes. factor analysis, reliability analysis (Cronbach's $\alpha$), and multiple regression analysis were employed to analyze the data. The cooking wine functions were divided into 3 factors (expectation of utility, functionality, and quality enhancement). According to the multiple regression analysis of cooking wine factors to food quality, all factors had positive influences on food quality. Among the three factors, expectation of utility(=.556, p<0.001) had the most significant influence on food quality. And functionality (=.321, p<0.001) and quality enhancement(=.296, p<=0.001) also had significant effects in that order. further research should be conducted on cooking wine's utility aspects and their effects on food quality. Finally, we anticipate that the results of this study will be useful information for food-service companies.

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Finding the Mostly Preferred Solution for MADM Problems Using Fuzzy Choquet's Integral (퍼지 Choquet적분을 이용한 다속성 의사결정문제의 최적 선호대안 결정)

  • Cho, Sung-Ku;Lee, Kang-In
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.4
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    • pp.635-643
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    • 1997
  • The purpose of this paper is to propose an interactive method, using fuzzy Choquet's integral, which is designed to find out the mostly preferred solutions for deterministic MADM problems with many attributes and alternatives. The basic idea of the paper is essentially the same as that of the one we have published before[1]; subgrouping of attributes and eliminating of inefficient solutions. But the difference between these two methods lies in the fact that the present method evaluates and eliminates alternatives using fuzzy Choquet's integral on the basis of decision-maker's judgements about the relative importance of subgroups of attributes, rather than using mathematical programming on the basis of pair-wise comparisons of alternatives. If such information is obtainable from the decision-maker, the method can be proved to be much easier to understand and more efficient to compute.

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Identifying Satisfiers and Dissatisfiers in the Service Encounter

  • Bo, Edvardsson;Lars, Nilsson-Witell
    • International Journal of Quality Innovation
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    • v.6 no.1
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    • pp.8-23
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    • 2005
  • Service attributes are important for customer perceptions of service quality. However, in spite of huge amount of research, the role of service attributes as satisfiers and dissatisfiers in service encounters is not understood well enough. An empirical investigation is conducted concerning a problem resolution service in the telecommunication industry. We use both qualitative and quantitative service performance data to describe and analyze how critical incidents can be used to identify and understand which service attributes are perceived as satisfiers and dissatisfiers. Our study reveals that there is a subset of critical incidents, so called critically critical incidents, which are perceived differently and are different in content compared to critical incidents. These incidents are extremely rich of information and have the possibility to reveal the real satisfiers and dissatisfiers in a service encounter.

Family-Centered Care for Hospitalized Children: Concept Analysis (입원 아동의 가족중심돌봄 개념분석)

  • Jung, So Young;Tak, Young Ran
    • Child Health Nursing Research
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    • v.23 no.1
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    • pp.28-36
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    • 2017
  • Purpose: This paper is a report on the concept analysis of family-centered care for hospitalized children. Methods: The concept analysis approach of Walker and Avant was used. A search of multidisciplinary literature published between 1960 and 2016 was undertaken using the keyword 'family centered care' or 'family centered nursing' combined with hospitalized children. Attributes, antecedents, and consequences were inductively derived from the citations analyzed (n=19). Results: The attributes of family-centered care included (1) family respect, (2) collaboration, (3) family support, and (4) information sharing. These attributes are influenced by the 'willingness of family to participate', 'competency and willingness of staff,' and 'institution policy and system.' Additionally, family-centered care does significantly impact 'the health of the children', 'family empowerment' and 'work satisfaction and self-confidence of staff'. Conclusion: Family-centered care of hospitalized children as defined by the result of this study will contribute to the theoretical foundation for application in pediatric nursing practice.

Interpolation on data with multiple attributes by a neural network

  • Azumi, Hiroshi;Hiraoka, Kazuyuki;Mishima, Taketoshi
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.814-817
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    • 2002
  • High-dimensional data with two or more attributes are considered. A typical example of such data is face images of various individuals and expressions. In these cases, collecting a complete data set is often difficult since the number of combinations can be large. In the present study, we propose a method to interpolate data of missing combinations from other data. If this becomes possible, robust recognition of multiple attributes is expectable. The key of this subject is appropriate extraction of the similarity that the face images of same individual or same expression have. Bilinear model [1]has been proposed as a solution of this subjcet. However, experiments on application of bilinear model to classification of face images resulted in low performance [2]. In order to overcome the limit of bilinear model, in this research, a nonlinear model on a neural network is adopted and usefulness of this model is experimentally confirmed.

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