• 동아시아경상학회지
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• 제6권2호
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• pp.14-27
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• 2018

Purpose - The purpose of this study is to analyze the effect of 'delivery service quality' of online fresh food shopping malls on 'e-satisfaction' and 'repurchase intention' of online customers. Research design, data, and methodology - To demonstrate the relationship between the delivery service quality of online fresh food shopping mall and the e-customer satisfaction and repurchase intention, the research model was designed with 5 sub-factors (promptness, accuracy, economy, safety, information) based on the contents of previous studies. The data collection is conducted with sampling survey. The participants are customers who have visited, purchased and received their orders within the last 6 months in online fresh food shopping malls. This study analyzed collected data, then confirmed and finalized the hypothesis by using IBM SPSS Statistics 21.0 statistical program. Results - Hypothesis 1: The service quality of online fresh food shopping mall will have a statistically significant effect on online customers' e-customer satisfaction. Hypothesis 2: The service quality of online fresh food shopping mall will affect the repurchase intention of online customers. Hypothesis 3: The e-customer satisfaction of online fresh food shopping mall will have a statistically significant effect on repurchase intention. Among the 5 sub-factors (promptness, accuracy, economy, safety, information) of delivery service quality, three factors such as promptness, accuracy, and safety have stronger influence on e-satisfaction and repurchase intention of online customers. Conclusions - This study has proven the feasibility and viability of the hypotheses that 1) The excellent delivery service quality of an online fresh food shopping mall primarily affects e-customer satisfaction; and that 2) Ecustomer satisfaction will secondarily serve to improve repurchase intention.

• 식품보건융합연구
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• 제10권4호
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• pp.9-19
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• 2024

This qualitative study explores the impact of online food delivery platform attributes on customer satisfaction and repurchase intentions. Employing a phenomenological approach, we conducted in-depth interviews and focus group discussions with 15 participants to gain rich insights into user experiences. Thematic analysis revealed key factors influencing satisfaction and loyalty: service quality dimensions (efficiency, reliability, fulfillment, privacy), expectation disconfirmation, perceived usefulness and ease of use, multi-level customer value, relationship quality, electronic word-of-mouth, value co-creation, and phased loyalty formation. Our findings extend customer behavior theory in digital platforms, offering a comprehensive framework for understanding the complex mechanisms underlying user satisfaction and repurchase decisions. The study provides valuable implications for platform operators, highlighting the importance of exceeding customer expectations, enhancing user experience, building trust, leveraging user-generated content, and fostering co-creation processes. Methodologically, we demonstrate the efficacy of qualitative approaches in uncovering nuanced insights in digital service contexts. While acknowledging limitations in generalizability, this research establishes a solid foundation for future investigations into the rapidly evolving domain of online food delivery services. The integrated theoretical approach offers a robust model for analyzing customer behavior in emerging digital service environments, contributing significantly to both academic understanding and practical application in the field of digital service provision and platform management.

• 유통과학연구
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• 제18권9호
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• pp.45-53
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• 2020

Purpose: This study aims at investigating consumers' choice in online food purchasing behavior and the impact on repurchase for fresh food delivery which has recently shown rapid growth in Korea. The study focuses on the user experience factors af fecting satisfaction and intention to continuously use the online food market. Research design, data and methodology: The survey was conducted by 309 people who had purchased fresh food online, and the analysis was conducted using SPSS and AMOS. Structural Equation Modeling was used for the analysis for the verification of hypotheses. The factors that consumers value when ordering fresh food delivery services were defined as system quality, service quality, commodity quality, brand characteristics, and economics from the preceding study and the relationship between satisfaction and willingness to repurchase was verified. Results: When consumers purchase fresh food online, system quality, product quality, brand characteristics, and economics have had a significant impact on satisfaction. Meanwhile, of the five optional attributes of consumers, only economic efficiency has been verified to have a statistically significant impact on repurchase intentions. Conclusions: The results of the study suggested factors that consumers consider important when ordering fresh food online, providing basic data for companies to develop related strategies.

• 유통과학연구
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• 제22권9호
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• pp.85-95
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• 2024

Purpose: Online food delivery platforms face challenges to operational efficiency due to increasing demand, a shortage of drivers, and the constraint of a one-order-at-a-time delivery policy. It is imperative to find solutions to address the inefficiencies in the food delivery industry. Bundling multiple orders can help resolve these issues, but it requires complex computations due to the exponential increase in possible order combinations. Research design, data and methodology: This study proposes three bundle delivery systems-static, dynamic, and hybrid-utilizing a machine learning-based classification model to reduce the number of order combinations for efficient bundle computation. The proposed systems are analyzed through simulations using market data from South Korea's online food delivery platforms. Results: Our findings indicate that implementing bundle systems extends service coverage to more customers, increases average driver earnings, and maintains lead times comparable to standalone deliveries. Additionally, the platform experiences higher service completion rates and increased profitability. Conclusions: This suggests that bundle systems are cost-effective and beneficial for all stakeholders in online food delivery platforms, effectively addressing the inefficiencies in the industry.

• Journal of Information Technology Applications and Management
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• 제28권2호
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• pp.35-41
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• 2021

This study sought to find importance factors for the quality of Mongolian consumers' evaluation for fresh food through online purchase. To compare the priorities of factors determining the choice of service quality of online purchase for fresh food, this study used a decision model using the appropriate Analytic Hierarchy Process (AHP). Through a prior study, the main factors of quality were classified as delivery quality, product quality, marketing, and system quality, respectively According to the results of AHP the quality of deliver information and deliver duration time under delivery quality are the main factor, followed by hygiene and freshness of product quality were the next highest. When consumers purchase fresh food through an online market. they considered deliver information, delivery duration time, hygiene, freshness, and deliver cost as important factors.

• 산경연구논집
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• 제12권2호
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• pp.19-27
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• 2021

Purpose: This study investigated the impact of key factors such as service quality, perceived benefit and brand familiarity on a consumer's intention to order online food delivery (OFD). In addition, mediating effect of electronic word of mouth (e-WOM) between relationships among selected key variables and OFD purchase intention is also assessed. Research design, data and methodology: This explanatory, quantitative study employed convenience sampling and collected data through online structured questionnaire from 304 respondents who are users of OFD apps based in greater Klang valley region of Malaysia. The data was then subjected to normality and reliability assessment followed by confirmatory factor analysis, validity assessment and structural equation modelling using IBM SPSS AMOS 24.0. Results: Findings revealed that service quality, perceived benefits and brand familiarity affects purchase intention positively and significantly. Perceived benefits demonstrated highest impact on purchase intention followed by brand familiarity and service quality. Findings also suggest that e-WOM fully mediates relationship between brand familiarity and purchase intention, however, the same was not observed for remaining two variables. Conclusions: The study has enriched OFD literature by investigating impact of selected key factors on purchase intention in the context of OFD. Implications, limitations and future research avenues are then discussed.

• 유통과학연구
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• 제19권2호
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• pp.37-44
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• 2021

Purpose: O2O (Online to Offline) is an internet-based platform. The purpose of this study is to confirm the effect of service quality of O2O food delivery service on service satisfaction, and whether customer orientation mediates the relationship between service quality and service satisfaction. Research design, data and methodology: This paper surveyed Chinese consumers using the O2O food delivery platform through a questionnaire technique. Smart PLS 3.0 was used to verify the hypothesis of this study. PLS is characterized by the advantage of minimizing measurement errors and maximizing the influence of each factor. Results: It was confirmed that O2O food delivery companies need to increase service quality (information quality, product quality, and social quality, system quality) in order to obtain customer satisfaction. Additionally, the perceived customer orientation was found to completely mediate the relationship between perceived service quality (information quality, product quality) and perceived service satisfaction. Conclusions: The service level of the O2O delivery company to the customer's request when a problem occurs in the customer's order must be raised to increase the customer's satisfaction. For example, timely response to customer inquiries and timely feedback of delivery information to customers during the delivery process should improve the quality of after-sales service.

• 서비스연구
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• 제13권2호
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• pp.161-180
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• 2023

본 연구에서는 코로나19로 인한 비대면 소비 증가로 크게 성장한 온라인 음식 배달 서비스(Online food delivery service, OFDS)기업에서 제시하는 서비스 회복 방안에 대한 불공정 인식이 소비자의 실망감에 미치는 영향을 실증적으로 분석하였다. 본 연구는 공정성 이론(Justice theory)을 기반으로 하여, 공정성 인식의 하위요인으로 절차의 공정성, 상호작용의 공정성, 정보의 공정성, 분배의 공정성을 채택하였다. 더불어, 서비스 회복 실패에 따른 실망감으로 인한 부정적 구전행동 및 전환의도 간의 관계에서 세대별(MZ세대와 그 외 세대) 차이점을 살펴보았다. 본 연구모델의 실증분석을 위하여 미국 내 성인 소비자 250명을 대상으로 온라인 설문조사를 실시하였고, 분석 결과 서비스 회복 방안 중 절차의 공정성과 분배의 공정성에 대한 부정적 인식이 소비자 실망감에 정(+)의 영향을 미치는 것으로 나타났다. 또한, 서비스 회복 전략에 대한 불공정성 인식으로 인한 소비자의 실망감은 소비자의 부정적 구전행동과 전환 의도에 정(+)의 영향을 미치는 것으로 확인되었다. 본 연구는 서비스 회복 전략의 실패로 인한 소비자의 역기능적 행동(Dysfunctional behavior)을 검증함으로써 서비스 회복과정의 공정성 인식에 관한 새로운 관점을 제시하며 관련 연구의 범위를 확장하였다. 본 연구의 결과는 소비자의 이중 이탈을 방지하기 위한 온라인 음식 배달 서비스 기업의 실무 전략 수립의 기초자료로 활용될 것으로 기대된다.

• 서비스연구
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• 제13권3호
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• pp.57-69
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• 2023

새벽배송은 일반 배송 서비스와는 다른 고유한 특성을 가지고 있다. 이 서비스는 일반적으로 새벽 시간대, 주로 새벽 7시 이전에 제품을 고객에게 배송하는 것을 의미한다. 온라인 새벽배송에는 고객측면에서 다양한 가치를 제공하는 반면 판매자와 온라인 쇼핑몰과 같은 서비스 제공자 측면에서는 극복해야 할 적지 않은 도전과제를 가지고 있다. 새벽배송 시장은 PC기반 온라인 쇼핑과 모바일 쇼핑을 합친 온라인 식품판매에서 성장세가 확대되고 있다. 본 논문에서는 확대되어 가는 온라인 쇼핑 새벽배송에 대한 고객만족과 재이용의도에 영향을 미치는 요인을 규명하고자 한다. 온라인 쇼핑 새벽배송 환경을 모형화하기 위해 독립요인을 다음 세 가지 유형으로 분류하였다: 시스템 특성, 제품특성, 그리고 배달특성. 그리고 본 연구에서는 세 가지 독립요인, 고객만족 (매개요인), 그리고 재이용의도 (종속변수)와의 관계를 실증적으로 탐색하여 보았다. 분석결과, 온라인 쇼핑의 새벽배송 서비스품질에 시스템특성과 제품특성이 영향을 미치는 것으로 조사되었으며, 특히 시스템특성 중에 신뢰성, 편리성, 유용성, 그리고 상호작용, 제품특성 중에는 제품품질, 제품가격, 제품다양성, 제품간편성이 고객만족에 정(+)영향을 주는 것으로 조사되었다. 하지만 배달특성은 고객만족도에 통계적으로 유의한 영향을 미치지 못하고 있다는 결과가 나왔다.

• 유통과학연구
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• 제20권10호
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• pp.67-77
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• 2022

Purpose: This study aims to determine the online shop service performance of fresh food products distribution, consumer motivation, and their relationship during the COVID-19 pandemic. Research design, data, and methodology: A survey was conducted online using Google Forms on 100 consumers of TaniHub application users. Data in the form of scale were analyzed descriptively to explain the service performance and consumer motivation. The service performance consists of technical services and marketing services. Technical service indicators consist of payment, delivery, and products. Meanwhile, the marketing service indicator consists of promotions and prices. The consumer motivation is characterized by reference, actualization, and lifestyle. The relationship between the two was analyzed using Spearman's rank correlation. Results: The most consumers are millennial generation who were active in social media. They are employees with Bachelor's and Master's qualifications and included in the middle economic groups. TaniHub online shop had good technical and fair marketing performance. The motivation of online shop consumers of fresh food products through the TaniHub application was high. Conclusions: The findings discovered a significant relationship between online shop service performance and consumer motivation. It indicates the need for improvement in marketing services, especially promotions, to improve the performance of this e-agribusiness company.