Journal of Distribution Science (유통과학연구)

Korea Distribution Science Association (한국유통과학회)
권호 표지
DOI QR코드

DOI QR Code

The Effect of Food Delivery Application on Customer Loyalty in Restaurant

  • CHA, Seong-Soo (Assistant Professor, Dept. of Food Science & Service, College of Bio-Convergence, Eulji University) ;
  • SEO, Bo-Kyung (Assistant Professor, Dept. of Addiction Rehabilitation and Social Welfare, College of Bio-Convergence, Eulji University)
  • Received : 2020.01.03
  • Accepted : 2020.02.11
  • Published : 2020.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

The Purpose: This study aims to identify the characteristics of customer satisfaction of the restaurants delivery applications that is increasing globally, especially in Korea. Due to demographic changes, social trends and the development of food science, customers no longer want to visit restaurants. This represents an important change in the restaurant business, and related research is also very urgent. Research design, data, and methodology: With 296 surveyed questionnaire, the study analyzed to verify the validity and reliability of measured variables in Korea. And structural equation model was used for hypotheses test of the research. Results: The result showed that consumers' usefulness, mobility, and reliability influenced on satisfaction. Specifically, mobility and reliability influencing the satisfaction and loyalty as well. And significant impact of satisfaction and loyalty are also corroborated. However, the path from informative to both satisfaction and loyalty was not statistically significant. This means food application developers should no longer focus on providing too many information, instead, concentrate on improving mobility and trust of mobile applications. Conclusions: This study analyzed the influence of attributes of food delivery applications on satisfaction and loyalty, and suggested crucial strategic implications of delivery marketing companies involved in the implementation of mobile application developers.

Keywords

1. Introduction

Germany's Delivery Hero, the operator of the food delivery app Yogiyoyo, acquired Baedal Minjok, a major domestic competitor, in the nation's largest internet startup merger and acquisition agreement in Korea. Woowa Brothers, who runs the Baedal Mijok app, had announced that Delivery Hero had the largest stake with 87% stake and the company's value would be set at $ 4 billion (The Investor, 2020). Recently, the number of customers using smart phone applications is increasing in Korea. Smartphones have the advantages of convenient mobility used anywhere and portability carry easily, so that mobile service market has been growing and creating new consumption trends. The food service industry, where consumers use mobile applications, can easily receive information from restaurants anywhere, regardless of location. The market for application catering information services is expanding due to increased convenience and economic efficiency. In the past, food service has been used as a means of eating for workers and travelers, but the number of people who eat out or enjoy simple meals is increasing due to the convenience for saving time (Kim & Beik, 2005). The tendency of consumers to prefer simple consumption patterns has increased, and these simple consumption patterns have led to the development of food storage and processing technology, therefore, it has been possible to supply better quality food to consumers.

Based on this background, the food service delivery market and service quality developed (Kim & Cha, 2010). Delivery over the next decade is expected to drive food service growth. These changes affect all aspects of your business, including marketing, technology investments, and operations. Specifically, growth in meal delivery predicts an increase in the percentage of meals that are not cooked at home and will lead to increased catching in virtual restaurants, subscription services, and retail stores. The association influences consumer loyalty to individual restaurants by predicting when consumers will increase their loyalty to third-party apps (Food delivery news, 2019).

As the number of single-person households increased, consumers preferred home delivery food more than eating out. Delivery services have led to the development of delivery applications that take advantage of the mobile services market, and the delivery applications that deliver not only fast foods such as chicken, pizza, and hamburgers, but also desserts such as bread, cakes, etc. The market size of the mobile food delivery service is increasing. In addition, there are opinions that the delivery service is a solution to the restaurant companies to solve the problems such as labor cost and rent increase. It is expected that the utilization rate of the delivery application will continue to increase in the future, and the quality of the delivery application service expected by the smartphone users should be understood and reflected in the application service. F&B companies must actively use the application as a marketing tool and strategic differentiation is needed to drive customer satisfaction with delivery applications.

The delivery application reviews provide users with information about the product to other consumers, and based on the information, leads consumers to consume the product by increasing the reliability of the product (Choi, 2015). F&B companies should have methods and means to assess the quality of the services they provide. Service quality is directly linked to the performance of the company, so evaluation of service quality is essential. Therefore, this study aims to analyze the service quality characteristics of the delivery application used by food service consumers and to investigate whether it affects consumer's satisfaction and brand loyalty. It is assumed that the reliability of application services, the mobility using location information service, Information provided by other consumers or by reviews, usability that application users can use conveniently will have a significant impact on brand loyalty and consumer satisfaction of delivery applications. This study aims to present the information necessary for strategic marketing planning of the food service industry by identifying factors influencing delivery application service performance and consumers' reuse delivery application based on the results.

2. Theoretical background

2.1. Quality of service characteristics

SERVQUAL is a compound word of Service and Quality. It compares consumers' perceptions and expectations of services and analyzes the degree or direction of agreement to manage service quality. In SERVQUAL, measures of service quality (service quality characteristics) are composed of empathy, reliability, type, assurance, and responsiveness. This study was conducted with reference to reliability items in SERVQUAL. Reliability is a factor in providing customers with trust and accuracy (Han, 2016).

First of all, the theoretical background of the service quality characteristics and previous studies will be examined. While service quality is called subjective perceived quality by consumers, it is defined as perceived service quality to distinguish it from objective quality. Many existing studies on service quality consider that service quality is related to the difference between consumer's expectation of service and the perception of service provided. Consumers have certain expectations about the quality of services before buying them, and they have some perceptions about the services. Usually consumer perceives the service quality of the product service through comparison with the consumer's expectation and perceived perception before purchase.

In this study, based on the existing SERVQUAL, the service characteristics specialized in mobile food delivery services were reconstructed as ‘informative’, ‘reliability’, ‘usefulness’, ‘mobility’ based on the researches of existing researchers (Sherifi & Senja, 2018; Abu‐ El Samen, Akroush, & Abu‐ Lail, 2013; Suki & Suki, 2011; Deng et al., 2016). Therefore, this study will focus on the research model that can show service quality universally and popularly by differentiating it from other papers. Table 1 shows the summary of previous researches.

Table 1: Summary of previous researches

OTGHB7_2020_v18n4_5_t0001.png 이미지

2.1.1. Informative

By providing food information in the delivery application, consumers can easily obtain information about the origin, nutritional information, dosage, and menus of the food. In addition, the user can look at the hygiene system and franchise discount information about the restaurant. Food menu information is the most influential factor when a user considers purchasing a product (Jessie & Kincade, 2001; Cha & Lyu, 2019), and information search on the product provides data to the consumer, which form the quality of service of the delivery application. Consumers get more information about their products and easily purchase the products they need (Ranganathan & Ganapathy, 2002). If online shopping provides good quality information and readability, consumer satisfaction is improved.

2.1.2. Reliability

Reliability is the level of emotion that consumers believe that the company will provide what they want and defined as the confidence or belief that consumers can trust and trade in a company. Restaurant ratings are provided to customers according to the reviews and payment frequency of other users in the delivery application. In addition, by sharing reviews, such as recommendation, consumers order products through the delivery application based on the data provided by the delivery application with the reliability of the restaurant. Reliability and fast delivery from the appreciation are important factors influencing consumer satisfaction, while reliability, had significant impacts on both customers' perceived overall service quality and their satisfaction (Jun, Yang, & Kim, 2004; Cha & Seo, 2019b).

2.1.3. Usefulness

The usefulness of a delivery application helps a user make an easier purchase in the process of purchasing a product.

Delivery applications can be expected to be more convenient for users than any other ordering method, regardless of time and space, in the systems provided by any ICT (Lee & Jeon, 2016).

This definition was revised and defined to be appropriate for this study, based on the work of Davis (1989) and previous studies on the acceptance model in the food service sector (Davis, 1989). Defining the usability of a delivery application allows you to reduce menu selection time when ordering, efficiency in selecting restaurants, and faster ordering and payment. And it also means that it helps in many ways. The usage of the system by the consumer does not require much mental and physical effort, and the use of the delivery application is easy, simple, and convenient for the consumer.

2.1.4. Mobility

A mobile service that distinguishes from existing electronic devices is defined as a service that can provide or receive information desired by a user using a mobile device such as a smart phone or a mobile device without restriction of space and time. As the user shares the information location with the delivery application, the delivery application provides more customized information. The application recommends services such as the best restaurants with information about the user from the platform of the mobile communication network (Ryu et al., 2007). In the age of information technology with advanced transportation and communication skills, the mobility of smartphones solves the limitations of physical mobility unlike the previous generation experienced. More broadly, the mobility and goal in wireless communication is to exchange information in various forms using portable terminals anytime, anywhere, and anybody.

2.2. Brand loyalty

Brand loyalty is the degree of customers‘ loyalty to a particular brand (Aaker, 1997). Brand loyalty is generally defined as an expression of sustained buying behavior in the form of future repurchase, recommendation, word of mouth, etc. based on trust of the brand (Schreiner et al., 2008). Brand loyalty refers to a state in which an emotional bond and a feeling of solidarity formed through continuous interaction with a specific brand used by a consumer. In other words, brand loyalty tends to repurchase a preferred product or service because it has a deep attachment to a particular brand which conversion behavior can be triggered by contextual influences or marketing efforts (Oliver, 1999). Customers with high brand loyalty have a relatively positive response to the brand and also prevent them from switching to another brand. The behavioral aspect of loyalty is the tendency of a customer to repeatedly buy a particular store or brand over a period of time, and this measure is often measured by the amount or frequency of purchase of a particular brand. At the ultimate level of loyalty, consumers repeatedly buy certain brands due to the inertia of their behavior. Also, successful brand expansion helps to increase customer loyalty and promote repeated purchases.

2.3. Consumer satisfaction

Satisfaction with using a mobile app is in many ways the result of evaluating and raising the user's app performance, and intention to order through mobile applications includes an individual assessment of the subjective probability or effort to make a decision. There are reasons why the four interactive-based benefits of mobile apps are expected to affect satisfaction. The perceived value by customers leads to customer satisfaction, which is a major motivation in long-term customer relationships (Egan, 2011; Cha & Seo, 2019a; Kim et al., 2020). Revels, Tojib and Tsarenko (2010) found that the satisfaction of the study is influenced by perceived usability, ease of use, and perceived enjoyment, analyzing the relationship between customer engagement, perceived value, and satisfaction. Hollebeek (2013), Brodie et al. (2013) considered the value and satisfaction perceived by customers as a result of customer engagement. According to Kim et al. (2013), participation in mobile technologies and services leads to perceived value and satisfaction, which leads to future customer loyalty (Kim et al., 2013). Rajah et al. (2008) argued that co-creation through active customer engagement, interaction and personalization can affect customer satisfaction, which strengthens the relationship between the company and the customer, along with factors such as trust. Therefore, the following subsections discuss and hypothesize the impact of each interaction-based benefit of mobile apps on satisfaction and purchase intentions. Thus, in the following subsections, the effect of mobile apps on satisfaction is hypothesized.

H1: Usefulness of a delivery app would have a significant positive impact on satisfaction.

H2: Informative of the delivery app would have a significant positive impact on satisfaction.

H3: Mobility of the delivery app would have a significant positive impact on satisfaction.

H4: Reliability of the delivery app would have a significant positive impact on satisfaction.

H5: Usefulness of a delivery app would have a significant positive impact on brand loyalty.

H6: Informative of the delivery app would have a significant positive impact on brand loyalty

H7: Mobility of the delivery app would have a significant positive impact on brand loyalty.

H8: Reliability of the delivery app would have a significant positive impact on brand loyalty.

H9: Consumer satisfaction with the delivery app would have a significant positive impact on brand loyalty.

OTGHB7_2020_v18n4_5_f0001.png 이미지

Figure 1: Study Model

3. Research method

3.1. Operational Definition of Variables

In this study, informative is defined as that consumers can easily obtain information about the origin of the food, nutritional information, capacity, and menus, based on the studies of previous researchers (Ranganathan & Ganapathy, 2002; Jessie & Kincade 2001). Reliability was defined by accurate and fast delivery, clear returns and refund policies, based on research by Jun, Yang, and Kim (2004), Mayer, Davis and Schoorman (1995).

The usefulness is defined based on Davis's (1989) study and previous studies on the acceptance model in the dining out area, which means that the menu selection time can be shortened when ordering, the efficiency in selecting a restaurant, and the order and payment are processed quickly. Mobility is defined as a means that shares information location with delivery application based on PAD emotion scale study, so that delivery application provides more customized information.

Satisfaction is a subjective evaluation and perspective of consumers on how satisfied their needs are (Reichheld & Sasser, 1990). Brand loyalty is the degree of loyalty to a particular brand of the customer (Aaker, 1997). Brand loyalty usually defined as consumer's continued purchasing activity, which based on trust in the brand, which later displayed in the form of repurchase, word of mouth, and recommendation to others.

3.2. Sampling and Investigation Procedures

The items of the survey modified and supplemented to for the research. For the selection and refinement of each questionnaire, the literatures of previous studies were reviewed and revised. The survey was conducted from July 1, 2019 to August 30, 2019 using SNS. The survey was conducted on smartphone app users. In this study, the criteria for selecting delivery apps were selected among the top five rank of Android and iPhone. The survey consisted of service quality characteristics (16 questions), satisfaction (4 questions, and brand loyalty (4 questions).

A total of 296 collected questionnaires were used in this study and the analysis method was carried out as follows. First, in order to verify convergence and discriminant validity between measurement variables, exploratory factor analysis was performed using Amos 20.0, and then inappropriate factors were removed. After that, Amos 20.0 was used for confirmatory factor analysis. Next, the structural equation modeling was used to test the hypothesis of this study.

Table 2: Demographic content

OTGHB7_2020_v18n4_5_t0002.png 이미지

Of the 296 respondents, 115 were male (38.9%) and 181 were female (61.1%). The age distribution is 12 (4.1%) for 10-19 years, 148 (50%) for 20-29 years, 46 (15.5%) for 30-39 years, 26 (8.8%) for 40-49 years, and 64 (21.6%) were over 50 years old. Among the respondents, 176 were singles (59.5%), 120 married (40.5%). Respondents spend less than 1,000 USD, 128(24%), between 1 and 2,000 USD, 41 (13.9%), between 2 and 3, 000 USD, 56 (18.9%), between 3 and 4,000 USD 25 (8.4%) and 46 (15.6%) were over 4,000 USD. There are 98 students (33.1%), selfemployed 31 (10.4), 87 employees (29.4%), 48 housewives (16.2%), 32 others (10.8%). Table 2 shows the demographic content.

4. Results

Overall model fit was assessed satisfactorily with GFI = 0.868, AGFI=0.837, NFI=0.873, CFI=0.926, IFI=0.926, TLI=0.95. CR (Composite Reliability) and AVE (Average Variance Extracted) meet the criteria presented by Bagozzi and Yi (1988) (CR 0.6, AVE 0.5), and the factor loadings are all statistically significant (p < 0.01). Convergent validity was confirmed. Table 3. shows the results of confirmatory factor analysis.

Table 3: Confirmatory factor analysis

OTGHB7_2020_v18n4_5_t0003.png 이미지

X² = 537.782 (df = 243), GFI = 0.868, AGFI=0.837, NFI=0.873, CFI=0.926, IFI=0.926, TLI=0.95, RMSEA=0.064 (p <0.001)

The square root of the AVE was used to verify the discriminant validity between the factors that proved onedimensionality. As a result, as shown in Table 4, the value of square root of AVE is greater than 0.5 and is larger than all non-diagonal correlation values in related rows and columns. Therefore, the discriminant validity that the corresponding difference should appear in the result of the measurement between different components is proved.

Table 4: Discrimination validity

OTGHB7_2020_v18n4_5_t0004.png 이미지

Note: The values presented along the diagonal are the square root of AVE

Table 5 is the result of verification of the hypothesis. The hypothesis test on the main effect showed that usefulness, reliability, and mobility had a positive effect on the satisfaction of consumers using the delivery application. Also, reliability and mobility had a positive effect on brand loyalty. However, informative was found to have no effect on satisfaction and brand loyalty. On the other hand, since this path coefficient has a positive effect, it shows that consumers' satisfaction and brand loyalty are high in usefulness, mobility and reliability.

Table 5: Results of research hypothesis

OTGHB7_2020_v18n4_5_t0005.png 이미지

These results are consistent with previous studies showing that mobility affects satisfaction and customer loyalty (Marinkovic & Kalinic, 2017; Cyr, Head, & Ivanov, 2006), and reliability affects satisfaction and customer loyalty (Deng et al., 2010; Bayraktar et al., 2012), but It is not the same as previous research that usefulness affects loyalty. Mobile usefulness in terms of design affects loyalty, but mobile application usefulness does not affect loyalties (Cyr, Head, & Ivanov, 2006). The results are shown in the figure 2.

OTGHB7_2020_v18n4_5_f0002.png 이미지

Figure 2: Result of the research model

5. Implications and Conclusions

5.1. Theoretical implications

The purpose of this study was to identify factors that affect consumer satisfaction and brand loyalty by empirically analyzing the service quality characteristics of delivery applications perceived by consumers. Based on the literature overview, examination of causality where factors lead to satisfaction and customer loyalty, four selected factors were considered to be suitable for the attributes of mobile application. The results of the study are summarized as follows.

First, the study proposed specific model which integrates selection attributes of mobile applications and customers‘ satisfaction. Also, those attributes were considered with loyalty.

Second, the effect of attribute of mobile applications on the satisfaction and loyalty was analyzed. Usefulness was shown to significantly enhance satisfaction (H1, Beta 0.143, t - value 2.823, p < 0.01). This means that when users feel mobile applications are useful, customers are satisfied. In IT research, the importance of the useful aspect has been emphasized (Stock et al., 2015). The mobility was revealed to affect satisfaction (H3, Beta 0.341, t - value 6.331, p < 0.001) and loyalty (H7, Beta 0.219, t - value 3.508, p < 0.001) as well. Therefore, when consumers perceive high levels of mobility of applications, they would use food application ordering food. The result of data analysis indicated reliability has the greatest influence on loyalty (H8, Beta 0.416, t - value 6.956, p < 0.001) and also significantly affected satisfaction (H4, Beta 0.213, t - value 4.073, p < 0.001). And also, the path from satisfaction to loyalty was significant (H9, Beta 0.221, t - value 2.625, p < 0.01) statistically.

Third, the effect of informative on satisfaction (H2, Beta 0.027, t - value 0.521, p > 0.05) and loyalty (H6, Beta 0.065, t - value 1.214, p > 0.05) was not statistically significant, being contrary to expectations. The result is somewhat different from the results of previous studies (Koivumäki, Ristola, & Kesti, 2008), which suggests the importance of informative in adopting a new technology.

5.2. Practical implications

The practical implications of this study are that mobility and reliability of mobile applications affect both satisfaction and loyalty, while usefulness, mobility, and reliability only affect satisfaction. However, informative did not affect both satisfaction and loyalty. Therefore, if mobile food delivery application companies manage and develop these optional attributes consistently, they will be able to use marketing strategies to win the competition. However, the informative of the food delivery application does not affect satisfaction and loyalty, so the provision of too much information may add to the fatigue for customers. Thus, mobile application developers and operators need to develop and operate a food delivery application that can be used intuitively and simply by customers with minimal information.

In Korea, the food delivery industry is growing rapidly, and the development and operation of food delivery applications is also high competitive (Reuters, 2019). Companies need to introduce new marketing through the development of innovative applications to keep pace with changing consumer needs and consumption behaviors, and it is urgent to develop mobile food applications that can generate customer loyalty beyond customer satisfactions.

This paper was supported by Eulji University in 2019.

References

  1. Aaker, J. L. (1997). Dimensions of brand personality. Journal of marketing research, 34(3), 347-356. https://doi.org/10.1177/002224379703400304
  2. Abu-El Samen, A. A., Akroush, M. N., & Abu-Lail, B. N. (2013). Mobile SERVQUAL. International Journal of Quality & Reliability Management. 30(4), 403-425. https://doi.org/10.1108/02656711311308394
  3. Bayraktar, E., Tatoglu, E., Turkyilmaz, A., Delen, D., & Zaim, S. (2012). Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA. Expert Systems with Applications, 39(1), 99-106. https://doi.org/10.1016/j.eswa.2011.06.041
  4. Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of business research, 66(1), 105-114. https://doi.org/10.1016/j.jbusres.2011.07.029
  5. Cha, S. S., & Lyu, M. S. (2019). Influence of SNS Characteristics on the Brand Image of Infant Food Products. Journal of Industrial Distribution & Business, 10(8), 7-15. https://doi.org/10.13106/ijidb.2019.vol10.no8.7
  6. Cha, S. S., & Seo, B. K. (2019a). Cafeteria Use by Students and Effect of Selection Attributes on Satisfaction. The Journal of Asian Finance, Economics and Business (JAFEB), 6(1), 187-194. https://doi.org/10.13106/jafeb.2019.vol6.no1.187
  7. Cha, S.S., & Seo, B. K. (2019b). The effect of brand trust of home meal replacement on repurchasing in online shopping. The Journal of Business, Economics, and Environmental Studies (JBEES), 9(3), 21-26. https://doi.org/10.13106/jbees.2019.vol9.no3.21
  8. Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & management, 43(8), 950-963. https://doi.org/10.1016/j.im.2006.08.009
  9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  10. Deng, S., Huang, L., Taheri, J., Yin, J., Zhou, M., & Zomaya, A. Y. (2016). Mobility-aware service composition in mobile communities. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(3), 555-568. https://doi.org/10.1109/TSMC.2016.2521736
  11. Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International journal of information management, 30(4), 289-300. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
  12. Food Delivery News (2019). Food delivery poised to drive growth over the next decade. Retrieved from https://www.foodbusinessnews.net/articles/15113-fooddelivery-poised-to-drive-growth-over-the-next-decade.
  13. Han, J. S. (2016). A study on effects of the service quality and the usage review characteristics of smartphone majib app on satisfaction and reuse intention of majib app. culinary science and hospitality research, 22(2), 234-251. https://doi.org/10.20878/cshr.2016.22.2.019
  14. Hollebeek, L. D. (2013). The customer engagement/value interface: An exploratory investigation. Australasian Marketing Journal (AMJ), 21(1), 17-24. https://doi.org/10.1016/j.ausmj.2012.08.006
  15. Jessie Chen-Yu, H., & Kincade, D. H. (2001). Effects of product image at three stages of the consumer decision process for apparel products: alternative evaluation, purchase and postpurchase. Journal of Fashion Marketing and Management: An International Journal, 5(1), 29-43.
  16. Jun, M., Yang, Z., & Kim, D. (2004). Customers' perceptions of online retailing service quality and their satisfaction. International Journal of Quality & Reliability Management, 21(8), 817-840. https://doi.org/10.1108/02656710410551728
  17. Kim, D. H., & Beik, G. Y. (2005). A study on the eating-out behavior of city workers (I)-The relationship between general characteristics and eating-out behavior. The Korean Journal of Food and Nutrition, 18(3), 241-253.
  18. Kim, Y. E., Yang, H. C., Choi, N. H., Qiao, X., Wang, L., Nguyen, P. N. D., ... & Oh, S. H. (2020). The Effects of Perceived Satisfaction Level of High-Involvement Product Choice Attribute of Millennial Generation on Repurchase Intention: Moderating Effect of Gender Difference. The Journal of Asian Finance, Economics and Business (JAFEB), 7(1), 131-140. https://doi.org/10.13106/JAFEB.2020.VOL7.NO1.131
  19. Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361-370. https://doi.org/10.1016/j.dss.2013.07.002
  20. Kim, Y. Y., & Cha, S. B. (2010). Relationships between delivery service quality and customer satisfaction in chicken delivery outlets. Journal of the East Asian Society of Dietary Life, 20(1), 138-148.
  21. Koivumaki, T., Ristola, A., & Kesti, M. (2008). The effects of information quality of mobile information services on user satisfaction and service acceptance-empirical evidence from Finland. Behavior & Information Technology, 27(5), 375-385. https://doi.org/10.1080/01449290601177003
  22. Lee, S. W., & Jeon, H. M. (2016). Influence of Big Data Based Majib Apps' Service Quality on Use Satisfaction and Reuse Intention of Majib Apps-Moderating Effect of Review Informativity. Culinary science and hospitality research, 22(5), 64-81. https://doi.org/10.20878/cshr.2016.22.5.006
  23. Marinkovic, V., & Kalinic, Z. (2017). Antecedents of customer satisfaction in mobile commerce. Online Information Review.
  24. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734. https://doi.org/10.5465/amr.1995.9508080335
  25. Oliver, R. L. (1999). Whence consumer loyalty? Journal of marketing, 63(4_suppl1), 33-44. https://doi.org/10.1177/00222429990634s105
  26. Rajah, E., Marshall, R., & Nam, I. (2008). Relationship glue: customers and marketers co-creating a purchase experience. ACR North American Advances.
  27. Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465. https://doi.org/10.1016/S0378-7206(01)00112-4
  28. Reichheld, F. F., & Sasser, W. E. (1990). Zero defeofions: Quoliiy comes to services. Harvard business review, 68(5), 105-111.
  29. Reuters (2019). Delivery Hero leaps on $4 billion food app deal to buy South Korea's Woowa. Retrieved from https://www.reuters.com/article/us-woowa-brothers-deliveryhero/delivery-hero-leaps-on-4-billion-food-app-deal-to-buysouth-koreas-woowa-idUSKBN1YH08S.
  30. Revels, J., Tojib, D., & Tsarenko, Y. (2010). Understanding consumer intention to use mobile services. Australasian Marketing Journal (AMJ), 18(2), 74-80. https://doi.org/10.1016/j.ausmj.2010.02.002
  31. Ryu, J. M., Hong, C. P., Kang, K. B., Kang, D. H., Yang, D. Y., & Jwa, J. W. (2007). Development of mobile context awareness restaurant recommendation services. The Journal of the Korea Contents Association, 7(5), 138-145. https://doi.org/10.5392/JKCA.2007.7.5.138
  32. Schreiner, P., Chen, X., Husnjak, K., Randles, L., Zhang, N., Elsasser, S., & Groll, M. (2008). Ubiquitin docking at the proteasome through a novel pleckstrin-homology domain interaction. Nature, 453(7194), 548. https://doi.org/10.1038/nature06924
  33. Sherifi, I., & Senja, E. (2018). Internet usage on mobile devices and their impact on evolution of informative websites in Albania. European Journal of Business, 3(6), 37-43.
  34. Stock, R. M., Oliveira, P., & von Hippel, E. (2015). Impacts of hedonic and utilitarian user motives on the innovativeness of user-developed solutions. Journal of Product Innovation Management, 32(3), 389-403. https://doi.org/10.1111/jpim.12201
  35. Suki, N. M., & Suki, N. M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers' intention towards using 3G mobile services. Journal of Information Technology Management, 22(1), 1-7.
  36. The Investor (2020). Can Delivery Hero-Woowa deal reshape Korea's food delivery market? Retrieved from http://www.theinvestor.co.kr/view.php?ud=20200109000084.

Cited by

  1. Role of Entrepreneurial Marketing Orientation on New Product Development Performance of Food Retailers: Michelin Guide Restaurants in Thailand vol.19, pp.8, 2020, https://doi.org/10.15722/jds.19.8.202108.69