• The Journal of Industrial Distribution & Business
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• v.10 no.10
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• pp.45-51
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• 2019

Purpose - The purpose of this study was to propose a win-win development plan for not only suppliers of delivery applications but also traditional market vendor companies and delivery riders by analyzing existing delivery models and presenting a new delivery model to enhance competitiveness of the traditional market using delivery apps. Research desgin, data, and methodology - Specifically, small retailers, such as traditional markets and supermarkets, presented a compromised delivery model that utilizes the platform of specialized delivery app service providers for order reception, and that the delivery is delivered by delivery systems jointly hired by Vendor companies, such as franchising companies. To validate the significance of the trade-off delivery model, a cost-benefit analysis was conducted by those involved in the delivery application. Results - From the perspective of suppliers of specialized delivery applications, it is analyzed that the use of specialized delivery applications in traditional markets will be a new market opportunity for service providers to achieve increased sales. It is expected that consumer choice and satisfaction will be increased as convenience and accessibility of traditional market businesses that were available only through direct visit from the user side of the delivery application will be expanded. From the standpoint of delivery application franchises, it is analyzed that they can seek to increase sales and increase customer service as well as ease labor cost burden due to joint employment of delivery riders. The delivery rider will be able to seek to improve customer service due to job security, wage stability, risk reduction and overheated competition due to direct employment. Conclusion - In conclusion, the compromised delivery model solved the problems raised in the preceding study conducted on delivery application suppliers, users, franchises, and riders to establish that it could be a strategic alternative to increasing sales and expanding detailed rights for the self-employed in the traditional market, which are experiencing difficulties in management. However, the adoption of a compromise delivery model requires social consensus from those involved in the delivery application and requires legal, institutional and policy support, which will require continued follow-up research on the delivery model in the future.

• Information Systems Review
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• v.20 no.1
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• pp.1-16
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• 2018

The development and generalization of the Internet increased the popularity of food delivery service applications in Korea. The food delivery market based on online-to-offline service is growing rapidly. This study compares the usability of Korean food delivery service application between that of Chinese food delivery service application. This study suggests improvement points for Korean food delivery service applications. To conduct this study, we explore the status of various food delivery service applications and conduct interviews and surveys based on the honeycomb model developed by Peter Morville. This study obtained the following results. First, all restaurants participating in the Korean food delivery service must be able to accept order through the application. Second, the shopping cart function must be able to accept order of all restaurants simultaneously. Third, when users look for menu recommendation, their purchase history and shopping cart functions should appear at the first page of the website. Users should be able to perceive the improved usability of the website using those functions. Fourth, when the search window is fixed on the top of each page, users should be able to find the information they need. Fifth, the application must allow users to find the exact location of the delivery person and the estimated delivery time. Finally, the restaurants'address should be disclosed and fast delivery time should be confirmed to enhance users'trust on the application. This study contributes to academia and industry by suggesting useful insight into food delivery service applications and improving the point of food delivery service application in Korea.

• Journal of Distribution Science
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• v.20 no.9
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• pp.97-107
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• 2022

Purpose: Online-To-Offline Food Delivery Services (O2O-FDS) is a new element in hotel supply chain that digitalizes traditional food delivery practices using new technologies. Targeting hotel guests, the present research is to explore the role of trust in the relationship between food delivery app on loyalty, price efficiency, and convenience. This new perspective is an essential value addition in the field of hotel marketing in relation to O2O-FDS. Research design, data and methodology: The present research conducted the mediator variable regression analysis as a main statistical methodology to identify the connections between three main constructs using total 244 South Korean participants that were recruited from the professional research company in Korea. Results: The statistical findings based on three steps of mediator regression approach strongly indicate that the trust of food delivery app in the hotel sector plays a moderating role in the relationship between price efficiency and convenience of food delivery app and customer loyalty of food delivery app in the hotel business. Conclusions: This research concludes that hotel practitioners must strive to provide adequate information on food delivery applications in order to increase price efficiency and convenience relative to traditional food and beverage services, influencing consumer trust in food delivery technology.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.199-209
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• 2021

The purpose of this study was to analyze the factors that affect the satisfaction of smart seniors using smartphone delivery applications. We established the hypothesis by dividing the factors that will affect the satisfaction of smart seniors using smartphone delivery applications into the characteristics of the delivery app and the personal characteristics of the smart senior. In order to verify the hypothesis, we surveyed adult men and women aged 50 to 65 years old who had experience using delivery apps, and we performed confirmatory factor analysis, correlation analysis, and path analysis to perform statistical processing for data analysis. The analysis results are as follows. First, we found that usefulness among the characteristics of delivery app had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Second, we found that social empathy among the personal characteristics of smart seniors had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Third, we found that delivery app satisfaction had a statistically significant positive effect on reuse intention. Based on research result, we suggested that in order to improve the satisfaction and use of delivery app by smart seniors, it is necessary to develop delivery app that can be usefully used by smart seniors and focus on social empathy.

• Korean Management Science Review
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• v.21 no.3
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• pp.101-113
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• 2004

In the rapidly propagating Internet based electronic transaction environment. the importance of real time order confirmation has been more emphasized, In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment. mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem, we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks. which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company. we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.53-64
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• 2019

The purpose of this study is to find out the fast delivery route that several drones return a truck again after departing from it for delivery locations at each cluster while the truck goes through the cluster composed of several delivery locations. The main issue is to reduce the total delivery time composed of the delivery time by relatively slow trucks via clusters and the sum of maximum delivery times by relatively fast drones in each cluster. To solve this problem, we use a three-step heuristic approach. First, we cluster the nearby delivery locations with minimal number of clusters satisfying a constraint of drone flight distance to set delivery paths for drones in each cluster. Second, we set an optimal delivery route for a truck through centers of the clusters using the TSP model. Finally, we find out the moved centers of clusters while maintaining the delivery paths for the truck and drones and satisfying the constraint of drone flight. distance in the two-dimensional region to reduce the total delivery time. In order to analyze the effect of this study model according to the change of the number of delivery locations, we developed a R-based simulation prototype and compared the relative efficiency, and performed paired t-test between TSP model and the cluster-based models. This study showed its excellence through this experimentation.

• The KIPS Transactions:PartA
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• v.12A no.2 s.92
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• pp.137-144
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• 2005

Many reliable group communication algorithms were presented to satisfy predetermined message ordering properties in small or medium-scale distributed systems. However, the previous algorithms with their strong reliability properties may be unappropriate for large-scale systems. To address this issue, some epidemic-style group communication algorithms were proposed for considerably improving scalability while guaranteeing the reasonably weaker reliability property than the existing ones. The algorithms are all designed for ensuring the atomic order message delivery property. But, some distributed applications such as multimedia systems and collaborative work, may require only the weaker message ordering property, i.e., causal order delivery. This paper proposes an efficient epidemic-style group communication algorithm ensuring causal order delivery to provide the indigenous scalability of the epidemic-style approach.

• Knowledge Management Research
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• v.22 no.3
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• pp.253-271
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• 2021

Due to the spread of COVID-19, the use of O2O order·delivery applications are becoming very common. Unlike the past, where customers could choose the desired transaction method and channel, these days, where customers' choices are very limited, it is urgent to consider the concept of shadow labor which has been hindered by the convenience and the benefits of order·delivery app. To this end, in this study, the service quality factors perceived by users of O2O order·delivery app and their shadow work attributes were identified, and priorities according to their relative importance and satisfaction level were suggested. In order to fulfill research objectives, first, after collecting user reviews for an O2O order·delivery app, the subject words were derived using topic modeling. Research variables were selected by linking 11 keywords with the concepts of previous studies on service quality of mobile apps and those about shadow labor. Eight variables of usefulness, ease of use, stability, design quality, personalization, responsiveness, update, and presence were selected. Based on 32 measurement items from the variables, a revised IPA was conducted, and finally, 'keep', 'concentrate', 'low priority', or 'overkill' service quality factors are revealed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.127-133
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• 2022

In the wake of COVID-19, more consumers prefer non-face-to-face services and the explosion in the use of delivery apps is shaping a new delivery culture. Meanwhile, in order to solve social problems such as platform monopoly of private delivery apps and increased brokerage fees, many municipalities are launching public delivery apps from 2020 onwards. However, consumers who are used for the existing private delivery apps are not aware of the public delivery apps and the utilization rate is low. In this study, we will look at the impact of sense of community and service quality (information quality, delivery quality) on the intend to use public delivery apps. Studies have shown that SOC and information quality have a significant impact on the attitude of using public delivery apps, but not delivery quality. In addition, the attitude of using public delivery apps has been shown to have a mediating effect on the relationship between SOC, information quality and public delivery app use intentions respectively. Therefore, to activate the public delivery apps, it was found that it is necessary not only to promote, but also to improve user convenience, such as product search and user review inquiry to improve information quality, along with efforts to strengthen the sense of local community.

• Journal of Communications and Networks
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• v.15 no.2
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• pp.198-206
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• 2013

Recent advances in forward error correction (FEC) coding techniques were focused on addressing the challenges of multicast and broadcast delivery. However, FEC approaches can also be used for unicast content delivery in order to solve transmission control protocol issues found in wireless networks. In this paper, we exploit the error resilient properties of Raptor codes by proposing Raptor-based content delivery protocol (RCDP) - a novel solution for reliable and bidirectional unicast communication in lossy links that can improve content delivery in situations where the wireless network is the bottleneck. RCDP has been designed, validated, optimized, and its performance has been analyzed in terms of throughput and resource efficiency. Experimental results show that RCDP is a highly efficient solution for environments characterized by high delays and packet losses making it very suitable for intelligent transport system oriented applications since it achieves significant performance improvements when compared to traditional transport layer protocols.