• Journal of Digital Convergence
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• v.20 no.1
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• pp.107-117
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• 2022

This study aims to examine the relationship between the economic, environmental and social activities of sustainable supply chains and the customer satisfaction and customer retention rate, which are the final results in the supplier's operational performance and the buyer's market performance. The survey was conducted on employees in charge of supply chain management, purchasing company, partner company, and logistics management in the company. The final 193 valid data were analyzed to verify the research hypothesis. The results of the study showed that the economic and social activities of the sustainable supply chain had a positive effect on the supplier performance and the purchaser performance, but environmental activities had a negative effect on the supplier performance. In addition, the purchasing company performance has a positive effect on customer satisfaction and customer retention rate. This study provides a theoretical basis for sustainable supply chain activities to affect the operating performance of suppliers and the market performance of buyers, and suggests implications for enhancing the competitiveness of companies through the performance creation process that affects customer performance.

• Journal of Distribution Science
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• v.12 no.12
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• pp.43-54
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• 2014

Purpose - This study examines how perceived benefits and costs of traditional market support affect relationship quality and support for a marketeer. In addition, it investigates whether support for traditional market aid programs leads to support for the government. The author developed a structural model comprising several variables, in which perceived benefits and costs comprising economic, social, and environmental costs were proposed, to affect the relationship quality (satisfaction and trust) of traditional market aid programs and the government. Consequently, marketeers satisfied and trusted by traditional market aid programs and the government would support the traditional market aid program, resulting in higher support for the government. The model proposed that customer satisfaction would improve customer loyalty and business performance. Thus, the relationship quality (satisfaction and trust) of the traditional market aid program and government was proposed as a core mediating variable between perceived benefits and costs and support. Research design, data, and methodology - To analyze the proposed model, this study investigates the scenario with a traditional marketeer. Data were collected from 331 respondents, and analyzed with SPSS/PC 18.0 and AMOS 18.0. To test the unidimensionality and nomological validity of the measures of each construct, we employed a scale refinement procedure. The result of the reliability test with Cronbach's and confirmatory factor analysis warranted unidimensionality of the measures for each construct. In addition, nomological validity of the measures was warranted from the result of correlation analysis. Results - First, perceived benefit affects the relationship quality of traditional market aid programs and government. Second, perceived costs affect the satisfaction of traditional market aid programs and government. Third, the relationship quality of a traditional market aid program affects the support of a traditional market aid program, and the relationship quality of government affects the support of government. Finally, the support of traditional market aid program affects support of government. The results confirm the findings of previous studies that local development positively influences support, based on the social exchange theory. Conclusions - The theoretical and managerial contributions of this study are as follows. First, it is the first such study, and defines mediating variables, analyzing relationship quality (satisfaction and trust) between perceived benefits and costs and support for the traditional market industry. Further, it investigates the structural relationships between them with the AMOS program. Second, while most previous studies investigating the relationship between similar variables and those of the present study analyzed how perceived benefits and costs influenced support, this study identified the transfer relationship between the support for traditional market programs and support for the government. This study confirms that support for traditional market aid program increases support for the government. Therefore, government policy makers for traditional market aid programs should explain to marketeers the benefits and costs of traditional market development in terms of economic, social, and environmental factors. At the end, limitations, further research directions, and implications are suggested.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.1-9
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• 2021

The purpose of this study is to present the necessary success strategies for the social economy ecosystem and social enterprise stakeholders by empirically examining the structural relationship of factors that affect the sustainable dual performance of social enterprises. Through previous studies, hypotheses and research models were established for the performance factors of social enterprises, and hypothesis testing was performed using PLS-Structural Equation Modeling on 92 sample data collected from the survey. As a result of the analysis, it was found that the social mission, customer orientation, and social network set as performance factors all had a significant positive (+) effect on social performance. In addition, social performance had a significant (+) effect on economic performance by mediating customer orientation and social network excluding social mission, and it was found that the business model strengthened this relationship. In addition to the theoretical significance of demonstrating the structural influence of social enterprise performance factors through this study, practical implications can be found in that it suggests factors that social entrepreneurs should focus on for growth and performance creation.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.77-84
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• 2022

The purpose of this study is to confirm the influence of E-service quality of fresh product quality, logistics quality, and website quality on customer satisfaction and repurchase intentions. For the analysis, we used SPSS 23.0 to perform multiple regression analysis with 284 people who have purchased fresh food from China E-Services. The research results show that the better the E-service quality, the more positive (+) impact it has on customer satisfaction. In the relationship between E-service quality and purchase intention, customer satisfaction has a media effect. Through the analysis of the results, in order to improve customer satisfaction, it is necessary to focus on the quality of fresh food, provide excellent logistics, and allow customers to use convenient websites. This study only studies the general environment of E-services in the fresh food market, and will recommend specific implementation for one company in the future.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

This study examines the impact of consumers' subjective perception on the quality loyalty of the Internet of things, explores academic innovation schemes, and puts forward business strategies for on-site optimization of the industry. The research methods use online survey methods for Chinese consumers who have used or bought Xiaomi IoT products. The results show that the inherent attributes of Internet of things products have an impact on brand image, and brand image has an impact on customer loyalty. Brand image shows complete media effect in the relationship between hyper-connectivity and customer loyalty of Internet of things products. For the enterprises that develop the Internet of things, obtaining the perceived brand image has a very important strategic significance in expanding the loyal customer base.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.1
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• pp.1-18
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• 2012

The present study provides some extensions over a recent work in Won (2011) which investigates properties of the static newsvendor problem under a schedule involving progressive multiple discounts under the assumption that demand is given exogenously. Khouja (1995, 1996) formulated the extended versions over the classical newsvendor model with various discount policies including all-units discount and/or multiple discounts and found that the extended newsvendor models with discount schedules yield higher optimal expected profits than the classical newsvendor model with no-discounts. In this study, we establish a robust conjecture as a stronger statement than Khouja's findings with regard to the general relationship among the expected profits of newsvendor models in the sense that the conjecture holds for every order quantity as well as the optimal order quantity. The conjecture encourages the newsvendor facing quantity discounts to safely implement her own discounts policy to customer or accept quantity discounts offered by the supplier even if the optimal order quantity cannot be ordered due to additional restrictions such as budget or warehouse capacity constraints because the newsvendor models with quantity discounts always yield higher expected profit than the classic newsvendor model without quantity discounts regardless of the order quantity. Results from wide experiments with various probability distributions of demand strongly support our conjecture.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.309-316
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• 2014

The main purpose of this study is to find out how strategy orientation influences to performance in general hospitals, and to analyze the effect of the general hospital structure and its size to the relationship between independence variables and performance variable. To achieve the goal we set 3 sub-dimension, customer orientation, competition orientation and care skill orientation based on comprehensive consideration of related studies, and established 5 hypothesis. Survey data for statistic analysis have been collected from 176 members of 5 general hospitals in Korea from 1July to 13 October, 2013. We found that three dimensions of strategy orientation influence to performance significantly. We also found that moderating effect of general hospital structure and its size is partially supported. General hospital structure and its size moderates only the relationship between competition orientation and performance.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.327-340
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• 2021

The purpose of this study aims to empirically verify about the impact of the customer satisfaction on the characteristics factors(presence, empathy, responsiveness, and interaction) on the customer satisfaction of 'Asia Model Festival', which was heldis an as untacted fashion and beauty performance that was successfully conducted in Seoul duringinyear 2020. and tThe regulatory effect of innovation resistance in the relationship of the characteristic factors and the customer satisfaction was also reviewed. The analysis showed that the characteristic factors have a positive effect on customer satisfaction, and the innovation resistance is found to control the relationship between interaction, empathy, and the customer satisfaction of the characteristic factors by the subfactor. By identifying the characteristic factors that affect the customer satisfaction of the un-tacted(Zzero Ccontact) visitors, which are expanding due to COVID-19, and studying the effect of controlling the innovation resistance, this study provides a basis for knowing what un-tacted(Zzero Ccontact) visitors need and what services they want to receive, and it presents practical implications and provides basic data for relevant research.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.151-159
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• 2018

This study focused on appreciative inquiry(AI) of salespeople who have to respond to various types of emotions according to the desires of individual customers at service contact points and the effect of emotional labor on adaptive selling behavior and customer satisfaction. Dyadic questionnaires were administerd to 115 automobile salespeople and 2 customers who received service from each salesperson, and the collected data was analyzed by using structural equation modeling. The results showed that AI had positive influences on deep acting and surface acting. Only deep acting was found to have positive relationship with adaptive selling behavior, but not to surface acting. Adaptive selling behavior had a positive effect on customer satisfaction. This study will contribute to identifying the need for AI access for salespersons and for activating adaptive selling behavior through emotional labor related to AI practice.