• Asia pacific journal of information systems
• /
• v.27 no.1
• /
• pp.1-17
• /
• 2017

The need for effective information systems that can help in efficient transportation management has become essential. This study presents the potential benefits of developing a decision support system used by a trucking company for routing and scheduling. Our study investigates how customer exibility factors affect the utilization of transportation resources and establishes a vehicle scheduling model for better allocation of transportation resources with a time window. The results show vehicle savings from 25% up to 70% per day given different levels of exibility in delivery times. Increased capacity utilization can be achieved by considering only customer exibility in the model. Our study implies that incorporating customer exibility into the information system can help transportation organizations have the capability to gain control over management to cut costs and improve service.

• Journal of Digital Convergence
• /
• v.18 no.12
• /
• pp.231-242
• /
• 2020

Due to fierce market competition and COVID-19, it becomes increasingly important for sharing economic platform companies to develop a long-term relationship with customers. In this regard, this study explores the mechanism of customer's repurchase decision making in the context of Airbnb. This study posits customer satisfaction and brand image as the key factors in forming customer's repurchase intention toward Airbnb. It also investigates the effects of price fairness, authentic experience, enjoyment, Airbnb trust and host trust on customer's repurchase intention. This study validated the research hypothesis with 154 customers using Airbnb. The analysis results showed that both customer satisfaction and brand image have a significant impact on repurchase intention and explain 62.0% of its variance. Enjoyment, true experience, and Airbnb trust had significant effects on customer satisfaction, while price fairness and host trust had no significant impact on it. The results revealed that price fairness, authentic experience, enjoyment, and Airbnb trust are significantly associated with brand image, while host trust is not significantly related to it. The results of this study are expected to provide academic and practical implications by enhancing the understanding of customer's repurchasing decision in the context of sharing economic platform.

• Journal of Service Research and Studies
• /
• v.14 no.3
• /
• pp.188-205
• /
• 2024

The food truck business, which involves selling various types of food from mobile vehicles, has gained significant popularity in urban centers and at events. These food trucks have rapidly expanded due to their relatively low initial investment and high flexibility, attracting customers with unique menus and personalized services. However, as competition increases, the need to manage service quality to boost customer satisfaction and encourage repeat visits has become more critical. Despite this growing importance, there has been limited empirical research on the topic. This study aims to analyze customer experiences with food truck services to gain strategic insights for improving service quality. By applying structural topic modeling to customer review data, the study identified 50 key topics. The process included a comprehensive evaluation of model diagnostics and interpretability to determine the optimal number of topics, ultimately selecting the most relevant ones related to service experiences. The impact of these identified topics on overall customer satisfaction was empirically tested using regression analysis. The results showed that aspects such as "Food Taste," "Friendly Staff," and "Positive Emotion" had a positive influence on customer satisfaction, whereas "Delayed Service," "Negative Emotion," and "Beverage Service" had a negative impact. Based on this analysis, the study proposes concrete methods for food truck operators to systematically analyze customer feedback and use it to drive service improvements and innovation. This research highlights the importance of data-driven decision-making in small business environments like food trucks and contributes to expanding the application of topic modeling in the service industry.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.5
• /
• pp.1702-1716
• /
• 2015

Customer product reviews have become great influencers of purchase decision making. To assist potential customers, online stores provide various ways to sort customer reviews. Different methods have been developed to identify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most of the methods consider the preferences of all users to determine whether reviews are helpful, and all users receive the same recommendations.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.1-17
• /
• 2011

In order to maintain customer satisfaction and to remain productive and efficient in today's global competition, mass customization is adopted in many leading companies. Mass customization through product family and product platform enables companies to develop new products with flexibility, efficiency and quick responsiveness. Thus, product family strategy based on product platform is well suited to realize the mass customization. Product family is defined as a group of related products that share common features, components, and subsystems; and satisfy a variety of market niches. The objective is to propose a product family design strategy that provides priority weights among product components by satisfying customer requirements. The decision making process for a new product development requires a multiple criteria decision making technique with feedback. An analytical network process is adopted for the decision making modeling and procedure. For the implementation, a netbook product known as a small PC which is appropriate for the product family model is adopted. According to the proposed architecture, the priority weight of each component for each product family is derived. The relationship between the customer requirement and product component is analyzed and evaluated using QFD model.

• Journal of Digital Convergence
• /
• v.15 no.9
• /
• pp.137-146
• /
• 2017

This study explores the impacts of application attributes of coffee chains on consumer's re-purchase decision-making processes in the context of coffee chains. We posited coffee quality, service quality, and physical environment as key service attributes of coffee chains and personalization, usefulness, economy, and convenience as key application attributes. The moderating effect of application attributes on the relationship between consumer satisfaction and repurchase intention was investigated. The theoretical framework was tested based on 382 consumers who frequently visit coffee chains and install their applications. PLS method was used to analysis the hypotheses. The theoretical model accounts for 48.1% of variance in customer satisfaction and 41.6% of variance in repurchase intention. The analysis results showed that personalization and convenience play an moderating effect on consumer's repurchase decision-making processes. Coffee quality and physical environment were found to have significant effects on customer satisfaction, while service quality does not significantly influence consumer satisfaction. Brand image has a significant effect on customer satisfaction and repurchase intention.

• International Area Studies Review
• /
• v.22 no.3
• /
• pp.149-174
• /
• 2018

This paper takes a close look at technology related services of e-Commerce companies from the viewpoint of B2C customers. The goal is to determine at which specific points of the customer purchase journey changes should occur, to address consumers' personal needs more effectively. All ten technologies examined fall into one of the following steps of the customer purchase journey: Decision Making, Payment Methods, and Delivery. AHP was utilized to clarify the preferences of millennials from Germany and Korea. The findings show that factors such as country of origin and gender had an impact on the preferences of the survey participants. In case of Germany, women replied that a change in Payment Methods would lead to significant enhancement of their shopping experiences, whereas men favored Decision Making. As for Korea, both genders stated that Decision Making should be the focus of marketers' efforts. One of the main findings was that participants from Germany and Korea exhibited different tastes in the use of technologies. Germans preferred functional technologies, whereas Koreans favored technologies which are more engaging and entertaining.

• 한국경영정보학회:학술대회논문집
• /
• 2008.06a
• /
• pp.135-140
• /
• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• Journal of Korean Library and Information Science Society
• /
• v.46 no.1
• /
• pp.25-42
• /
• 2015

The purpose of this study is to provide users with satisfactory information services that are utilizing Voice of the Customers(VOC). Voice of the Customers(VOC) toward organizations that provide information services is important information for decision-making to improve customer satisfaction and information services. K institute manages customer requests and feedbacks for NDSL(National Digital Science Library) using the Voice of the Customer Management System(VCMS). In this study, we analyzed the total number of 1,738 VOCs and suggested improvement strategies for information services. The results can be utilized as basic information by libraries and information centers that provide information services through analysis of VOC.

• Proceedings of the KIEE Conference
• /
• 2000.11a
• /
• pp.180-183
• /
• 2000

The Battery Energy Storage System(BESS) has lots of advantages such as load levelling, quick response emergency power(spinning reserve), frequency and voltage control, improvement of reliability, and deferred generation and transmission construction. The economic feasibility requires justification from the customer side of meter to promoting the dissemination of BESS nationally. In this paper, we proposed the economic assessment model of customer owned Battery Energy Storage System(BESS) which is complemented and improved the existing model. The proposed model is applied to the typical customer type(light-industrial commercial, and residential) which are taken from the statistical analysis on the load profile survey of Korea Electric Power COmpany (KEPCO). The economic assessment performed for each customer type to justifying their economic feasibility of BESS installation from the economic measures such as payback period, overall benefits, ROI, and ROR. The results of this paper are useful to the customer investment decision making and the national energy policy & strategy.