• 제목/요약/키워드: and Retailing

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The Impact of Omnichannel Shopping Experience and Channel Integration on Customer Retention: Empirical Evidence from China

  • WANG, Junbin;JIANG, Xinyu
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.229-242
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    • 2022
  • Creating a new retailing environment to meet the seamless experience requirements of consumers is a challenge for Omnichannel-related businesses. Based on the "appraisal-emotion-response" chain, the purpose of this research is to explore the psychological mechanism of omnichannel integration influencing customer retention and the moderating effect of customer showrooming experience. This research uses a structural equation model in partial least square software to analyze a two-stage survey (Study 1: n = 210; Study 2: n = 342) conducted in China. The results show that channel control experience has three dimensions: perceived channel attribute familiarity, channel type matching, and cross-channel access convenience; consistent interactive experience has two dimensions: information cross-channel consistency and cross-channel service support. Furthermore, both channel control experience and consistent interactive experience are favorable for customer retention through increased customer satisfaction (transactional and retailer satisfaction). Finally, customer showrooming experience positively moderates the relationship between consistent interactive experience and customer satisfaction. This research proposes a self-regulation process model to explain how omnichannel integration enhances consumers' experience, finally leading to consumer retention. The findings contribute to the omnichannel retail business literature and provide management implications for Asian retailers to implement an omnichannel business strategy.

온/오프라인 유통환경에서 소비자특성, 정보탐색, 구매결정 간 영향관계에 관한 연구 (The Influence Relationship among Consumers' Characteristics, Information Search, and Purchase Decision in On/Offline Retailing Environment)

  • 채진미
    • 한국의류산업학회지
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    • 제22권3호
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    • pp.323-334
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    • 2020
  • This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

Korean Customer Attitudes Towards Retail Regulations

  • Cho, Young-Sang;Chung, Lak-Chae;Yu, Pom-Tong
    • 유통과학연구
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    • 제14권1호
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    • pp.51-58
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    • 2016
  • Purpose - This study is to identify how the retail regulations influence customer shopping behaviours and furthermore, whether the Store Closing Act really protects independent retailers as well as traditional markets in Korea. Research design, data, and methodology - By adopting frequency analysis and factor analysis method, the research achieved research objectives. Before a field survey, the authors pre-tested the questionnaire developed, based on similar previous articles, and finalized. Amongst the 353 questionnaires distributed, 332 were returned. It means the response rate is 94.5%. Furthermore, available questionnaires are 330. Results - Rather than stimulating customers to more frequently visit public markets, the regulation has provoked new customer shopping behaviours. In other words, some consumers tend to shop in big box retailers before or after a store closing day, whereas others are likely to stop shopping. What is important is that customers do not patronise small retailers and conventional markets, thanks to the Store Closing Act. Conclusions - In order to keep retailers and public markets independent, the researchers suggest that the government should introduce new techniques without impeding the growth of a retailing sector.

Designing a Distribution Network for Faster Delivery of Online Retailing : A Case Study in Bangkok, Thailand

  • Amchang, Chompoonut;Song, Sang-Hwa
    • 산경연구논집
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    • 제9권5호
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    • pp.25-35
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    • 2018
  • Purpose - The purpose of this paper is to partition a last-mile delivery network into zones and to determine locations of last mile delivery centers (LMDCs) in Bangkok, Thailand. Research design, data, and methodology - As online shopping has become popular, parcel companies need to improve their delivery services as fast as possible. A network partition has been applied to evaluate suitable service areas by using METIS algorithm to solve this scenario and a facility location problem is used to address LMDC in a partitioned area. Research design, data, and methodology - Clustering and mixed integer programming algorithms are applied to partition the network and to locate facilities in the network. Results - Network partition improves last mile delivery service. METIS algorithm divided the area into 25 partitions by minimizing the inter-network links. To serve short-haul deliveries, this paper located 96 LMDCs in compact partitioning to satisfy customer demands. Conclusions -The computational results from the case study showed that the proposed two-phase algorithm with network partitioning and facility location can efficiently design a last-mile delivery network. It improves parcel delivery services when sending parcels to customers and reduces the overall delivery time. It is expected that the proposed two-phase approach can help parcel delivery companies minimize investment while providing faster delivery services.

A Study on the User Acceptance of O2O Services : Mediating Effect of Customer Attitude

  • CHUNG, Ji Bok;NAM, Sung Jip
    • 동아시아경상학회지
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    • 제8권3호
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    • pp.15-24
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    • 2020
  • Purpose - New technologies allow service providers to integrate all the customer information within and between contact channels so that they can offer individualized services. The availability of new mobile devices enables retailers to interact with customers through countless channels (Rigby, 2011). The objective of this research is to examine customers' attitudes toward O2O (on-line to off-line) services and their intention to use based on the Technology Acceptance Model (TAM). Research design, data, and methodology - Utilizing the TAM model, the mediating effect of the users' attitudes toward O2O services on the relationship among perceived ease of use, perceived usefulness, perceived risks and intention to use are to be investigated. Results - The result shows that the perceived ease of use, perceived usefulness, perceived risks have a significant effect on customers' attitudes toward O2O services. It is also revealed that the attitude toward O2O services has a mediating effect among perceived ease of use, perceived usefulness, perceived risks and intention to use. Conclusions - The boundary between on-line and off-line is eroding and various services based on the O2O platform are growing. The results of this study and managerial implications can be applied to O2O platform operators or enterprises planning to sharp on their competitiveness edge through offering variations of service channels.

A study on the deployment status and development plan of retail technology

  • KIM, Se-Jin;LEE, Sang-Youn
    • 4차산업연구
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    • 제1권1호
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    • pp.23-29
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    • 2021
  • Purpose - Faced with the great change of the 4th industrial revolution and the addition of the COVID-19 pandemic, great confusion and crises are occurring in the retail environment as well. The purpose of this study is to suggest the necessity of establishing a methodology for applying retail tech to offline distribution channels in crisis. Research design, data, and methodology - After examining the recent developments of representative fields to which retail technology is applied, it is rearranged through consideration through previous studies. Result - The retail industry must transform into digital commerce through digital transformation. According to the development of retail technology, the distribution industry is at a time of change from the stage of brokering product and service transactions to a structure that creates value based on information on production and consumption. The business model of the distribution industry must be converted to a platform business model in which both consumers and producers become users. Conclusion - In-depth analysis of the cases has not been conducted, and there are limitations in that the development is somewhat insufficient due to insufficient prior research data. However, it is meaningful to suggest the necessity of finding a methodology for applying retail technology to overcome the crisis of offline retailers through quantitative research on the retail technology area.

How do Korean Respond to Japanese Retailers?

  • CHO, Young-Sang;CHUNG, Ji-Bok;SHIM, Hye-Eun
    • 유통과학연구
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    • 제19권10호
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    • pp.87-97
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    • 2021
  • Purpose: Compared with the past when Japanese retailers used to hesitate to open their shops in the Korean market, because of anti-Japan sentiment, they show confidence in Korea in recent. This study, thus, aims at examining how socio-demographic factors have an impact on customer attitudes towards a Japanese retailer as a shopping destination. Research design, data, and methodology: After the literature review process, the authors have developed a variety of questions to verify the relationship amongst the variables like nationalism, consumer ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. Furthermore, after collected questionnaires, the authors used confirmative factor analysis (CFA), T test and linear regression analysis to verify the 25 hypotheses developed. Results: Except for a household size element, it is found that gender, age, education and income levels are related to the degree of nationalism, ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. In other words, socio-economic elements influenced Korean customer attitudes towards Japanese retailers. Conclusions: Korean customers tend to show different shopping attitudes towards the Japanese retailers, depending on the characteristics of socio-demographic elements. Furthermore, changing socio-demographic factors will provide positive business opportunities for Japanese retailers in the future.

Priority Factors of Service Recovery Strategy in Distribution Channel

  • Han, Sang-Lin;Jung, Kyung Sik;Lee, Myoung Soung;Lee, Jong Won
    • Asia Marketing Journal
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    • 제17권2호
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    • pp.97-125
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    • 2015
  • In this study, we tried to evaluate the relative importance and find out the differences in consumer perceptions regarding service recovery strategies and the service provider in the distribution industry by using AHP (Analytic Hierarchy Process) analysis method. Therefore in this study, we tried to systematize various recovery strategies which were considered very important during service failure process in the distribution industry and analyze the relative importance for each recovery strategy. We set hierarchy composed of four items of monetary, action-oriented, psychological, and assured level as primary selection criteria and a total of 16 items(indemnity, refund, gift, gift certificate, prompt resolution, exchange, manager support, explanation, apology, empathy, acknowledge, kindness, assortment, after service, manage subcontractor, manage employee) as secondary selection criteria. We tried to take one step further from the service sector and study service recovery strategies specialized in distributor services. This study suggests various implications about service recovery strategies of distributors. First, this study can provide practical implications - e.g. service recovery efforts should be applied differently depending on service channels. There is a perceptual difference with respect to the importance of the types of service recovery strategies between service provider and final customer. Second, we can find theoretical implications in terms of identifying the priorities through hierarchy design of new recovery strategies and comparison of each element from the classifications of the current fractional recovery strategies. We hope to help service providers to build more efficient recovery strategy system based on the results of this study.

A Decision Support Model for Financial Performance Evaluation of Listed Companies in The Vietnamese Retailing Industry

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Viet-Trang;VU, Dang-Duong;DAO, Trong- Khoi
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.1005-1015
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    • 2020
  • This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.

Distributor's Lot-sizing and Pricing Policy with Ordering Cost inclusive of a Freight Cost under Trade Credit in a Two-stage Supply Chain

  • Shinn, Seong-Whan
    • International Journal of Advanced Culture Technology
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    • 제8권1호
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    • pp.62-70
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    • 2020
  • As an effective means of price discrimination, some suppliers offer trade credit to the distributors in order to stimulate the demand for the product they produce. The availability of the delay in payments from the supplier enables discount of the distributor's selling price from a wider range of the price option in anticipation of increased customer's demand. Since the distributor's lot-size is affected by the demand for the customer, the distributor's lot-size and the selling price determination problem is interdependent and must be solved at the same time. Also, in many common business transactions, the distributor pays the shipping cost for the order and hence, the distributor's ordering cost consists of a fixed ordering cost and the shipping cost that depend on the order quantity. In this regard, we deal with the joint lot-size and price determination problem when the supplier allows delay in payments for an order of a product. The positive effects of credit transactions can be integrated into the EOQ (economic order quantity) model through the consideration of retailing situations, where the customer's demand is a function of the distributor's selling price. It is also assumed that the distributor's order cost consists of a fixed ordering cost and the variable shipping cost. We formulate the distributor's mathematical model from which the solution algorithm is derived based on properties of an optimal solution. A numerical example is presented to illustrate the algorithm developed.