• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.20
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• pp.441-465
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• 2003

This research attempts to identify growth potential of e-logistics market and opportunities provided by its growth; analyze requirements and critical success factors for logistics industries to make most of such opportunities; and analyze various strategic alternatives for e-logistics industries. Subsequently this paper looks at strategies that may enable logistics companies to grow into competitive e-logistics and e-fulfillment companies. This would involve the close interface between advances in IT and logistics activities and formation of global strategic alliances.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.67-78
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• 2021

The number of domestic e-commerce transactions has been breaking its own record by an annual average growth rate of over 20% based on volume for the past 5 years. Due to the rapid increase in e-commerce market, retail companies that have difficulty meeting consumers in person are in fierce competition to take the lead in the last mile service, which is the only point of contact with customers. Especially in the delivery area, where competition is most intense, the role of the fulfillment center is very important for service differentiation. It must be capable of fast product preparation ordered by consumers in accordance with the delivery service level. This study focuses on the order picking system for rapid order processing in the fulfillment center as an alternative for companies to gain competitive advantage in the e-commerce market. A mixed integer programming model was developed and implemented to optimize the stock replenishment in order picking facilities. The effectiveness was scientifically and objectively verified by simulation using the actual operation process and data.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.339-349
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• 1999

Multiple regression and stepwise logistic regression was conducted to examine the relationships of work conditions, individual characteristics, and burnout (emotional exhaustion, depersonalization, personal fulfillment). Subjects were 144 early childhood educators. Teachers most likely to leave the profession were more educated, has less teaching experience and reported higher levels of burnout (i.e. high emotional exhaustion and lower personal fulfillment). Turnover was also predicted by high depersonalization, lower personal fulfillment, working overtime, and perceived choice of other jobs. Implications of these results for early childhood programs were discussed.

• Journal of the Korea Safety Management & Science
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• v.14 no.1
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• pp.129-136
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• 2012

This study proposes a collaboration system framework on the web service in a supply chain to implement an efficient virtual supply chain and improve an ability to fulfill received orders over a supply chain. The system based on the framework proposed in this paper plays an important role for automatic order negotiation and placing/receiving an order noticed in web service by the main system. Furthermore, it can evaluate the fulfillment of received orders over a supply chain by using the transaction results from hierarchically related vendors and establish efficient manufacturing plans. In a word, this system is the automated system for creating manufacturing plans, placing and receiving orders. A little more important main function of this system is that it has a dynamic evaluation capability about fulfillment with received orders over a supply chain, and improves the evaluation method of fulfillment ability with received orders with related to direct dealing vendors, which is a main problem in existing system. As a result, this system is able to reduce the work load of the sales and purchasing materials, production control division, to manage accurate inventory promptly, to maintain the optimal inventory level by analyzing the information of fulfillment ability with received orders, and to enhance the level of service for customers.

• International Journal of Human Ecology
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• v.15 no.1
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• pp.51-63
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• 2014

Services for self-designing, or adaptive customization services, have become dominant in virtual marketplaces and are believed to create additional values both for the company as well as for the customer. While most research focused on the value from the services' outputs, this research attempts to address the customer-perceived value deriving from the process of the services, and focuses on the self-fulfillment effect of the involved mental processing. An online survey was administered with 313 U.S. shoppers. In the results, participants using adaptive customization services reported higher self-fulfillment perceptions, than did those not using the services. Furthermore, both the self-fulfillment perceptions (i.e., autonomy and competence) significantly increased perceived design utility. The results suggest that the process of adaptive customization services should be strategically managed to improve the customers' positive mental states that subsequently improve the perceived value of the output designs. Implications and suggestions for future studies are dsicussed.

• 한국무역상무학회:학술대회논문집
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• 2002.12a
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• pp.135-154
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• 2002

본 연구는 e-logistics의 전망과 제공하는 기회 분석, e-logistics 활성화를 위한 핵심성공요인 및 물류산업에 대한 요구사항 도출, e-logistics 전략 대안 분석, 정보기술과 물류의 결합 대안제시, 글로벌 e-logistics 네트웍 모델 제시 등을 목적으로 수행되었다. 위와 같은 연구목적을 달성하기 위해 e-logistics와 전통적인 물류와의 비교분석과 기업들과 현행 시스템에 대한 사례분석 결과가 활용되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2061-2083
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• 2020

Social commerce, integration of social media and e-commerce, provides potential opportunities for consumers to talk about their ideas and exchange product-related information on online shopping platforms. Given the substantial prospects related to business opportunities and consumers' perceptions, this study explores the factors driving fulfillment of the psychological contract in social commerce platforms. This research proposes, examines, and proves a theoretical model for the post-purchase behavior of the consumers, through an empirical investigation of online questionnaire-based data, gathered from 367 consumers in a cross-sectional setting. Results show that the fulfillment of psychological contract, consumer loyalty, and affective commitment fully mediate the impact of consumer trust on platform and repurchase intention. The level of commitment toward the consumer by the platform is strongly related to the degree of consumer trust, which is reciprocated through re-purchase intentions. This study offers essential theoretical implications with regards to the social exchange theory, attribution theory, and an moderating effect of the platform empathy on consumers' trust-psychological contract fulfillment relationship. Likewise, this research has significant implications for practitioners and managers.

• Korean Management Science Review
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• v.33 no.1
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• pp.1-16
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• 2016

Drop-shipping is a commonly adopted online-order fulfillment strategy in the Internet age. In this practice, online retailers leverage the fulfillment capabilities of suppliers to fulfill orders. On the other hand, purchase dependence is a frequent phenomenon and is characterized by the purchase of certain items together due to their unknown interior associations. Although this concept has been significantly examined in the marketing field (e.g. market basket analysis), it has largely remained unaddressed in operations management. This paper develops an (R, T) model to address an environment in which unmet demand orders are partially lost and partially backordered when purchase dependence exists. The partial backorders are fulfilled by a drop-shipping option. Through computational analyses, this paper demonstrates the effect of both drop shipping on a partial backordering and purchase dependence. The results shows that more profit can be realized by utilizing a drop-shipping option under purchase dependence.

• Journal of Global Scholars of Marketing Science
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• v.19 no.4
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• pp.57-63
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• 2009

With an exponential increase in electronic commerce (e-commerce), marketers are attempting to gain a competitive advantage by emphasizing service quality and post interaction service aspects, which leads to customer satisfaction or behavioral consequence. Particularly for apparel, service quality is one of the key determinants in encouraging customer e-loyalty, and hence the success of apparel retailing in the context of electronic commerce. Therefore, this study explores e-service quality (E-SERVQUAL) factors and their unique effects on e-loyalty for apparel online shopping based on Parasuraman et al' s (2005) framework. Specific objectives of this study are to identify underlying dimension of E-SERVQUAL, and analyze a structural model for examining the effect of E-SERVQUAL on e-loyalty for online apparel shopping. For the theoretical framework of service quality in the context of online shopping, literatures on traditional and electronic service quality factors were comparatively reviewed, and two aspects of core and recovery services were identified. This study hypothesized that E-SERVQUAL has an effect on e-loyalty; customer satisfaction has a positive effect on e-service loyalty for apparel online shopping; and customer satisfaction mediates in the effect of E-SERVQUAL on e-loyalty for apparel online shopping. A self-administered questionnaire was developed based on literatures. A total of 252 usable questionnaires were obtained from online consumers who had purchase experience with online shopping for apparel products and reside in standard metropolitan areas, in the United States. Factor analysis (e.g., exploratory, confirmatory) was conducted to assess the validity and reliability and the structural equation model including measurement and structural models was estimated via LISREL 8.8 program. Findings showed that the E-SERVQUAL of shopping websites for apparel consisted of five factors: Compensation, Fulfillment, Efficiency, System Availability, and Responsiveness. This supports Parasuraman (2005)'s E-S-QUAL encompassing two aspects of core service (e.g., fulfillment, efficiency, system availability) and recovery related service (e.g., compensation, responsiveness) in the context of apparel shopping online. In the structural equation model, there are five exogenous latent variables for e-SERVQUAL factors; and two endogenous latent variables (e.g., customer satisfaction, e-loyalty). For the measurement model, the factor loadings for each respective construct were statistically significant and were greater than .60 and internal consistency reliabilities ranged from .85 to .88. In the estimated structural model of the e-SERVEQUAL factors, the system availability was found to have direct and positive effect on e-loyalty, whereas efficiency had a negative effect on e-loyalty for apparel online shopping. However, fulfillment was not a significant predictor for explaining consequences of E-SERVQUAL for apparel online shopping. This finding implies that perceived service quality of system available was likely to increase customer satisfaction for apparel online shopping. However, it was not supported that e-loyalty was determined by service quality, because service quality has an indirect effect on e-loyalty (i.e., repurchase intention) by mediating effect of value or satisfaction in the context of online shopping for apparel. In addition, both compensation and responsiveness were found to have a significant impact on customer satisfaction, which influenced e-loyalty for apparel online shopping. Thus, there was significant indirect effect of compensation and responsiveness on e-loyalty. This suggests that the recovery-specific service factors play an important role in maximizing customer satisfaction levels and then maintaining customer loyalty to the online shopping site for apparel. The findings have both managerial and research implications. Fashion marketers can establish long-term relationship with their customers based on continuously measuring customer perceptions for recovery-related service quality, such as quick responses to problem and returns, and compensation for customers' problem after their purchases. In order to maintain e-loyalty, recovery services play an important role in the first choice websites for consumers to purchase clothing. Given that online consumers may shop anywhere, a marketing strategy for improving competitive advantages is to provide better service quality, maximize satisfaction, and turn to creating customers' e-loyalty for apparel online shopping. From a researcher's perspective, there are some limitations of this research that should be considered when interpreting its findings. For future research, findings provide a basis for the further study of this important topic along both theoretical and empirical dimensions. Based on the findings, more comprehensive models for predicting E-SERVQUAL's consequences can be developed and tested. For global fashion marketing, this study can expand to a cross-cultural approach into e-service quality for apparel by including multinational samples.

• The Journal of Bigdata
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• v.6 no.2
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• pp.17-28
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• 2021

Current development of technologies related to 4^th industrial revolution and the pandemic of COVID-19 lead the rapid expansion of e-marketplace. The level of competition among several companies gets increased by introducing different strategies. To cope with the current change in the market and satisfy the customers who request the better delivery service, the new concept, fulfillment, has been introduced. It makes the leadtime of process from order picking to delivery reduced and the efficiency improved. Still, the efficiency of operation in fulfillment centers constrains the service level of the entire delivery process. In order to solve this problem, several different approaches for demand forecasting and coordinating supplies using Bigdata, IoT and AI, which there exists the trivial limitations. Because it requires the most lead time for operation and leads the inefficiency the process from picking to packing the ordered items, the logistics service providers should try to automate this procedure. In this research, it has been proposed to develop the efficient plans to automate the process to move the ordered items from the location where it stores to stage for packing using AGV and AMR. The efficiency of automated devices depends on the number of items and total number of devices based on the demand. Therefore, the result of simulation based on several different scenarios has been analyzed. From the result of simulation, it is possible to identify the several factors which should be concerned for introducing the automated devices in the fulfillment centers. Also, it can be referred to make the optimal decisions based on the efficiency metrics.