• 경영정보학연구
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• 제25권2호
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• pp.103-123
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• 2023

e-커머스 플랫폼 문헌에서 유효한 관점 중 하나는 정보 비대칭 상황에서의 판매자 신호전략이다. 본 연구에서는 판매자의 신호전략이 소비자의 의사결정에 미치는 영향을 체계적으로 탐색하기 위해 신호이론과 쇼핑목표이론을 기반으로 연구모델을 구성하였다. 구체적으로 소비자의 쇼핑 목표에 따라 판매자가 제공하는 신호 효과(i.e., 평판, 온라인 구전 비율, 가격)에 차이가 있는지 분석하였다. 실증분석을 위해서는 대표적인 e-커머스 플랫폼인 아마존을 대상으로 26,246개의 데이터를 수집하여 가우시안 코플라 방법을 활용하였다. 분석결과, 판매자가 제공하는 신호는 수익에 긍정적인 영향을 미치는 것으로 나타났으며, 이러한 효과는 소비자의 쇼핑목표에 따라 조절되는 것으로 분석되었다. 본 연구는 쇼핑목표이론을 기반으로 소비자가 입력하는 키워드에 따라 판매자의 신호전략 효과에 차이가 있다는 점을 발견함으로써 신호이론 및 전자상거래 문헌에 기여하였다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.904-913
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• 2005

This paper deals with an integrated problem of inventory control and dynamic pricing strategies for a commodity with price and sales-period dependent demand pattern, where a seller and customers have complete information of each other. The problem consists of two parts; one is each buyer's benefit problem which makes the best decision on price and time for buyer to purchase items, and the other one is a seller's profit problem which decides an optimal sales strategy concerned with inventory control and discount schedule. The seller's profit function consists of sales revenue and inventory holding cost functions. The two parts are closely related into each other with some related variables, so that any existing general solution methods can not be applied. Therefore, a simplified model with single seller and two customers in considered first, where demand for multiple units is allowed to each customer within a time limit. Therewith, the model is generalized for a n-customer-classes problem. To solve the proposed n-customer-set problem, a dynamic programming algorithm is derived. In the proposed dynamic programming algorithm, an intermediate profit function is used, which is computed in case of a fixed initial inventory level and then adjusted in searching for an optimal inventory level. This leads to an optimal sales strategy for a seller, which can derive an optimal decision on both an initial inventory level and a discount schedule, in $O(n^2)$ time. This result can be used for some extended problems with a small customer set and a short selling period, including sales strategy for department stores, Dutch auction for items with heavy holding cost, open tender of materials, quantity-limited sales, and cooperative buying in the on/off markets.

• 정보과학회 논문지
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• 제42권10호
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• pp.1286-1293
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• 2015

e-마켓플레이스는 구매자들이 보다 신뢰할 수 있는 판매자와 거래할 수 있도록 평판 시스템(Reputation system)을 구축하여 예비 소비자들에게 판매자의 평판을 제공한다. 판매자의 평판은 소비자의 평점을 기반으로 산출되는데 이 때 소비자의 평가 요소로는 판매자의 행동에 대한 평가와 상품에 대한 평가가 있다. 기존의 평판 계산 방안들은 구매자의 평점이 두 가지의 평가가 혼합된 점수라는 것을 인지하지 못한 채로 판매자의 평판을 산출한다. 본 논문에서는 소비자 평점을 판매자 점수와 상품 점수로 분리한 후 오직 '판매자의 점수'만을 이용하는 평판 계산 방안을 제안한다. 제안하는 방안은 판매자의 점수만을 이용하여 판매자의 능력에 대한 평판만을 제공하는 방안으로 예비 소비자들이 빠른 배송과 친절한 서비스를 제공하는 판매자를 선택할 수 있도록 돕는다. 실험에서는 실제 e-마켓 플레이스의 현실성을 반영한 시뮬레이션 방안을 제안한다. 생성된 시뮬레이션 데이터를 기반으로 진행하는 실험을 통해 제안하는 방법의 우수성을 입증한다.

• Journal of Information Technology Applications and Management
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• 제23권1호
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• pp.1-23
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• 2016

Social commerce (s-commerce) is a subset of e-commerce and uses social media for social interactions. Although s-commerce has been rapidly growing, disputes between some s-commerce firms and their consumers often occur over issues such as poor customer services, incorrect product information, and late refunds. In order for s-commerce to continuously grow, s-commerce firms need to build consumer-trust in their transaction process to minimize their consumers' uncertainty. The purpose of this study is to examine the relationships between the multidimensional trust (ability, integrity, benevolence) and the intention of continuous use of s-commerce. Moreover, this study presents antecedent factors needed for trust-building by applying the characteristics of s-commerce, and verifies the relations between the variables. We test and validate the research model and related hypotheses using structural equation modeling based on a survey done on 428 people who have previous experience with s-commerce. The result shows that trust has positive effect on the intention of continuous use, and verifies the necessity of the antecedent factors (social presence, assurance, informativeness, economic feasibility, and seller reputation) for trust-building. This study provides strategy for the continuous growth of s-commerce, and suggests theoretical implication that explains the relationship between the characteristics of s-commerce and consumers.

• 한국의류학회지
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• 제45권3호
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• pp.464-476
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• 2021

This study empirically investigated the relationship benefits perceived by consumers from a live commerce channel and verified effects on trust in seller/product relationship and purchase intention to establish a strategy for a live commerce channel. An online survey was conducted among 204 women residing in Korea who had watched a video on fashion products shown by the NAVER Shopping channel. The perceived relational benefits from the live commerce channel were extracted into four groups: psychological, social, economic, and customerization benefits. Psychological benefits were found to have a positive effect on trust in seller but not trust in product. Social benefits and customization benefits had a positive effect on both trust in seller and product, but economic benefits had no effect. Trust in seller and in product had positive effects on purchase intention. Understanding consumer response in relation to perceived relationship benefits in live commerce can contribute strengthen consumer behavior research on live commerce channels. These results can guide fashion companies as they develop live commerce marketing strategies.

• 융합경영연구
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• 제11권2호
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• pp.23-32
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• 2023

Purpose: This study examines the effect of full information disclosure on seller profit when there exists information asymmetry between sellers and buyers, focusing on the risk averseness of buyers. By investigating the interaction between product quality and perceived risk through online sales data, we attempt to figure out the incentive structure of full information disclosure specifically when buyers are risk-averse, so that we can suggest more feasible information disclosure strategy to sellers. Research design, data and methodology: Our empirical model analyzes the sales data of collectible goods from a major online seller using Poisson regression. In our model, we have specifically considered risk-averseness of buyers by estimating the interaction effect between the product quality and perceived risk on seller profit, aiming for a more precise empirical analysis on sellers' incentive structure of full disclosure. Results: Our empirical analysis strongly supports the effect of interaction between product quality and perceived risk, showing that the incentive for full disclosure is much stronger when product quality is higher, and vice versa. Therefore, sellers are strongly encouraged to voluntarily reveal product weaknesses when their product quality is higher than average, while it is more profitable to hide any product defects when quality claim is lower than average. Conclusions: This study supports the related literature by confirming economic incentives for full disclosure, and also supplements and strengthens previous studies by presenting that the effect of interaction between product quality and perceived risk strongly affects seller profit. Our unique finding supports both mandatory disclosure and voluntary disclosure arguments and presents practical implications to marketing managers by suggesting that seller's incentive for revealing weaknesses depends on the level of seller's product quality.

• Journal of Information Technology Applications and Management
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• 제21권3호
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• pp.135-156
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• 2014

The Online business model for purchasing agent service is getting more popular. However, consumers perceive more risk when buying products from foreign online purchasing agents (FOPA) than from common online sellers (COS). This study focuses on finding out how consumers manage risk when they perceive risk and what different risk-reliever strategies they use when buying from high-risk FOPA and low-risk COS. This study has proved the following two. First, when consumers perceive risk at online purchasing, they tend to select risk-reliever strategies, such as the use of communication media, online assurance mark, seller's record, and secure payment to mitigate risk. With the application of those risk-reliever strategies, they built trust with the seller. Second, risk-perception of FOPA influences usage of communication media and check of online assurance mark more strongly than that of COS. On the contrary, risk-perception of COS influences the check of seller record more strongly than that of FOPA. This study helps to explain why FOPA is proliferating, despite its inherent high risk due to the fact that buyers and sellers are separated in time and space and that buyers and sellers have different social and cultural backgrounds. This study also helps managers of E-commerce to relieve consumer's risk-perception and to build trust.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.83-88
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• 2001

To get the items that a buyer wants in Internet auction. he must search for the items through several auction sites. When the bidding starts, he(the buyer) needs to connect to these auction sites frequently so that he can monitor the bid stats and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit together within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile Collaborative Auction Agent System), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces connection costs. offers more intelligent bidding and solves the equity problem.

• Journal of Information Technology Applications and Management
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• 제11권2호
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• pp.101-124
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• 2004

The exponential growth of the Internet has been the advent of buying and selling products and services over the Internet. In Korea, electronic commerce including Internet commerce reached a ￦6,534 billion industry in the year 2002. This paper presents the importance of understanding and managing consumer trust to sellers succeed in Internet commerce. We tested a trust model that includes seller's trustworthiness-based factors and consumer's personality-based factors. We found that seller's trustworthiness-based factors lead to greater consumer trust in Internet shopping through the consumer's perceptions about integrity, benevolence, reputation, and size, but consumer's personality-based factors containing five traits, extraversion, agreeableness, conscientiousness, openness, and trust propensity, have not a significant effect on consumer trust. We also confirmed a positive relationship between consumer trust in Internet shopping and consumer intention to buy.

• 경영정보학연구
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• 제9권2호
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• pp.109-127
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• 2007

소비자와 판매자간의 거래에서 화폐가치는 소비자의 구매의사결정시 중요한 기준이 된다. 화폐가치는 소비자가 지불한 가격에 대해서 제품과 서비스로부터 얻게 되는 가치의 복합적인 척도이다. 본 연구의 목적은 화폐가치를 기반으로 한 소비자의 판매자 선택을 지원해 주기 위한 것이다. 이를 위해서 본 연구에서는 소비자와 판매자간의 거래를 위한 DEA 모형을 제안하고 국내 비교쇼핑 사이트에서의 적용방안을 제시하였다. DEA 모형을 기반으로 한 판매자 추천정보는 최상의 제품과 서비스를 최저의 가격으로 구매하고자 하는 소비자들에게 유익한 정보로 활용될 것이다. 또한 본 기법은 경쟁이 치열해지고 있는 판매자들에게 경쟁우위를 갖추기 위한 전략으로 활용 될 것으로 기대된다.