• Asia pacific journal of information systems
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• v.30 no.1
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• pp.94-119
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• 2020

Digital platforms characterized by network effects enable provisioning of various types of services and provide a mechanism for linking producers and consumers. Identifying the key Quality of Service attributes of such platforms is vital for their continued success and growth. In this paper, a set of quality attributes for platforms is first extracted from different extant quality models. Then actual user feedback data from three platform providers are analysed and mapped against the set of quality attributes to determine the key attributes that are relevant. These findings are corroborated with qualitative data from interviews of different stakeholders. The results show that service quality characteristics are important to the success of platforms. Functional characteristics of platforms assume importance where the digital contributions of the platform is higher. Apart from these, 'fitness for use' as a major determinant of quality is also important in digital platforms.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.965-981
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• 2016

Purpose: This study aims to propose Kano-SERVQUAL integrated approach as an effective tool for evaluating auto service quality attributes to enhance the use of SERVQUAL. Methods: The Kano-SERVQUAL survey was conducted to evaluate customer perception for 28 auto service quality attributes which were obtained from auto service expert in 'H' company. The correlation analysis of SI(Satisfaction Index), DI(Dissatisfaction Index) and expectation values are conducted in this study. Results: The 28 auto service quality attributes are classified into attractive attributes and one-dimensional attributes. The results of this study show that the correlations between the customers' expectation values and DI is strongly positive correlation with 1% significance level, expectation values and SI is negative correlation with 10% significance level. Conclusion: The results show that the purposed Kano-SERVQUAL integrated approach provides a deeper understanding of service quality attributes in that it distinguishes the customers' expectation values between highly expected attributes(e.g. must-be attribute) and less expected attributes(e.g. attractive attribute).

• Journal of the Korea Safety Management & Science
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• v.26 no.2
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• pp.93-105
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• 2024

In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.844-855
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• 2010

An important issue for the improvement of product quality is to identify and understand the customer-required attributes of a product. This paper identifies and analyzes customer-required attributes of formal knitwear for middle age and elderly women through the use of the Kano model in order to develop competitive products. Various research methods were used in this study. Customer voices for formal knitwear were collected by means of brainstorming and in-depth interviews. The collected customer voices were transformed into customer-required attributes with the use of an affinity diagram. In addition, the data was collected by means of a questionnaire and was statistically analyzed to examine the dimensions of customer-required attributes on the basis of the Kano model. The results are as follows. Five categories of customer-required attributes were identified (symbolism, aesthetic, fitness, usefulness, and maintenance). The analysis based on the Kano model identifies a strong one-dimensional quality in all of the categories of customer-required attributes and the attractive quality that includes a one-dimensional quality in the categories of fitness and usefulness. The findings of this study demonstrate the applicability of the affinity diagram for apparel that educates formal knitwear developers of the customer-required attributes that they should strategically focus on in order to develop competitive products.

• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.157-167
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• 2017

The two-way quality theory has been widely used as a method for classifying quality attributes for several decades. In particular, the Kano model that classifies attributes into not just conventional one-dimensional but must-be and attractive has gained popularity due to its applicability and ease of use. However, the wordings of the five alternatives in the Kano's questionnaire has been criticised for unclear meanings. This study proposes a new two-way model to classify attributes using 5-point Likert scale alternatives. For this, the current paper investigated a case of TV sets to examine how the proposed model works in comparison with the Kano model. The application results of the proposed model are different from the original one. The two-way model classifies quality attributes in more detail such as the "one-dimensional with an attractive tendency" attribute, which has a greater influence on satisfaction than dissatisfaction, the opposite "one-dimensional with a must-be tendency" attribute, and "highly one-dimensional" and "less one-dimensional" attributes. In this study, a potential satisfaction coefficient (PSC), a potential dissatisfaction coefficient (PDC), and an average potential coefficient (APC) to manage quality attributes are proposed and discussed for their utilization.

• The Journal of Economics, Marketing and Management
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• v.8 no.3
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• pp.9-21
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• 2020

Purpose: Previous literature shows that a price promotion serves as a negative cue of product quality especially when consumers have no additional information about the product's other attributes. In this research, we explore how the effect of price promotions on consumers' perceptions of product quality changes depending on their ability to compare promoted product attributes with competitive products' attributes. Research design, data and methodology: Specifically, we use a series of scenario-based lab experiments using different types of products and explore if attribute alignability among competing products in a consumer's choice set influences consumers' ability to compare the product attributes and perceived quality. Results: Our study findings show that high attribute alignability among products makes consumers easier to compare the product attributes and thereby focus more on non-price information than price information. We also show that attribute alignability serves as a moderator and decreases perceived quality when the promotion level is higher. Therefore, the attribute alignability weakens the negative impact of a price promotion on consumers' perceived product quality. Conclusions: Our study findings provide new insights on how to implement price promotion strategies while keeping products' perceived quality, by considering the product's relationships with competing products in a choice set.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.151-165
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• 2008

This study suggests the organization-level standard(model and process) for quality evaluation of information systems(IS) in non-use organizations despite international standards(ISO/IEC 9126 and ISO/IEC 14598) and national standards(KS X 9126 and KS X 14598) related to quality evaluation of IS. The standard in this study is composed of quality evaluation processes, a quality model, and quality metrics. The weights of the attributes and the sub-attributes in the quality model were calculated by an analytic hierarchy process(AHP). The minimum level and the target level of each metrics were determined by brainstorming of the committee. Furthermore, the case study for the investigation of the applicability and the usability of the suggested organizational standard in the real IS development project was performed. For gaining significant benefits of the standard, both the diffusion and the experience accumulation by its continuous use are needed.

• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.21-29
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• 2009

An intelligent service robot is a robot that monitors its surroundings, and then provides a service to meet a user's goal. It is normally impossible for a robot to anticipate all the needs of its user and various situations in the surroundings ahead, and to prepare for all the necessary functions to cope with them. Therefore, it is required to support the self-growing capability by which robots can extend their functionality based on users' needs and external conditions. In this paper, as an enabler of the self-growing capability, we propose a method that allows a robot to select a component-composition pattern represented in an architectural form (called a sub-architecture), and to extend its functionality by obtaining a set of software components that are prescribed in the pattern. Sub-architecture is selected and instantiated not only based on the functionality required but also based on quality requirements of a user and the surrounding environment. To provide this method, we constructed a quality-attributes-in-use ontology and developed a brokering mechanism that matches quality requirements of users and surroundings against quality attributes of sub-architectures. The ontology provides the common vocabularies to represent quality requirements and attributes, and enables the semantically-based reasoning in matching and instantiating appropriate sub-architectures in supporting services to users. This ontology-based approach contributes to provide a great flexibility in extending robot functionality based on available software components, and to narrow the gap between users' Quality requirements and the Quality of the actual services provided by a robot.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.7
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• pp.1000-1014
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• 2013

This study identifies the determinants that influence attitude toward and the intention to use mobile shopping services through fashion applications (apps) based on the technology acceptance model. In addition, gender and age group differences were examined. Data were collected from subjects who have used smartphone fashion related apps; subsequently, a total of 327 data were analyzed. About 46% of respondents were males, with a mean age of 34.4 years that ranged from 20 to 49 years old. Multiple regression models were developed based on the research model. Perceived usefulness, perceived ease of use, perceived enjoyment, perceived risks (security risk and quality risk), fashion involvement, and fashion app attributes (product attributes and service attributes) were employed as predictors of attitudes towards mobile shopping. Attitudes towards mobile shopping and subjective norms with the aforementioned variables measured the intention to use. Attitudes towards mobile shopping were predicted by perceived enjoyment, perceived usefulness, and service attributes. Attitudes toward mobile shopping and subjective norms were the most important predictors of the intention to use. Gender differences were found in that service attributes were significant for attitudes towards mobile shopping only in the male model. Age differences were also found and perceived usefulness was the most important predictor of attitudes toward mobile shopping among those in their 20's; however, perceived enjoyment was the most important among those in their 30's and 40's. Quality risk was only significant to explain intention to use among those in their 40's. The findings of this study are useful to understand the possibility of the adoption of mobile shopping though fashion apps and provide basic insight into market segmentation.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.