• 제목/요약/키워드: Purchase Rate

검색결과 329건 처리시간 0.027초

가공식품 및 외식 영양표시에 대한 소비자인식조사 (A Survey on Customers' Perceptions of Nutrition Labeling for Processed Food and Restaurant Meal)

  • 권광일;윤성원;김소진;강하니;김해나;김지영;김서영;김길례;이준형;정선미;옥소원;이은주;김종욱;김명철;박혜경
    • Journal of Nutrition and Health
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    • 제43권2호
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    • pp.181-188
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    • 2010
  • 본 연구에서는 가공식품 및 외식업체 메뉴의 영양표시 시행에 대한 소비자들의 인식도를 조사하였다. 본 조사는 전국 20세~59세의 부모 1,507명을 대상으로 하여 전화면담으로 이루어졌다. 전체응답자의 89.8%가 가공식품에 영양표시가 있다는 것을 알고 있었으며, 응답자중 72.3%가 식품 구입시 영양표시를 확인하는 것으로 나타났다. 우선적으로 확인하는 영양표시 항목은 지방 (57.1%), 열량 (56.3%), 나트륨 (49.0%)이었으며, 알기 쉽고 눈에 잘 띄도록 표시되기를 원하는 항목은 트랜스지방 (62.1%), 콜레스테롤 (26.9%), 열량 (23.9%), 나트륨 (21.0%)순이었다. 외식에 영양표시를 시행할 경우 90.6%의 응답자는 영양표시가 메뉴선택에 영향을 미칠 수 있다고 응답하였다. 패스트푸드 이외에 영양표시 시행을 원하는 외식업체는 '피자 및 치킨'이 60.7%로 가장 높았다. 외식영양표시 시행 시우선적으로 표시하기를 원하는 영양성분은 열량 (62.0%), 지방 (60.3%), 나트륨 (50.9%)으로 나타났다. 본 조사결과 소비자들은 외식 영양표시 실시에 대하여 매우 호의적이며, 표시영양성분 중 열량을 가장 중요시 하는 것으로 조사되었다. 따라서 소비자가 현명하게 식품을 선택할 수 있는 제도가 마련되어야 할 필요가 있는 것으로 사료된다.

WHICH INFORMATION MOVES PRICES: EVIDENCE FROM DAYS WITH DIVIDEND AND EARNINGS ANNOUNCEMENTS AND INSIDER TRADING

  • Kim, Chan-Wung;Lee, Jae-Ha
    • 재무관리논총
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    • 제3권1호
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    • pp.233-265
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    • 1996
  • We examine the impact of public and private information on price movements using the thirty DJIA stocks and twenty-one NASDAQ stocks. We find that the standard deviation of daily returns on information days (dividend announcement, earnings announcement, insider purchase, or insider sale) is much higher than on no-information days. Both public information matters at the NYSE, probably due to masked identification of insiders. Earnings announcement has the greatest impact for both DJIA and NASDAQ stocks, and there is some evidence of positive impact of insider asle on return volatility of NASDAQ stocks. There has been considerable debate, e.g., French and Roll (1986), over whether market volatility is due to public information or private information-the latter gathered through costly search and only revealed through trading. Public information is composed of (1) marketwide public information such as regularly scheduled federal economic announcements (e.g., employment, GNP, leading indicators) and (2) company-specific public information such as dividend and earnings announcements. Policy makers and corporate insiders have a better access to marketwide private information (e.g., a new monetary policy decision made in the Federal Reserve Board meeting) and company-specific private information, respectively, compated to the general public. Ederington and Lee (1993) show that marketwide public information accounts for most of the observed volatility patterns in interest rate and foreign exchange futures markets. Company-specific public information is explored by Patell and Wolfson (1984) and Jennings and Starks (1985). They show that dividend and earnings announcements induce higher than normal volatility in equity prices. Kyle (1985), Admati and Pfleiderer (1988), Barclay, Litzenberger and Warner (1990), Foster and Viswanathan (1990), Back (1992), and Barclay and Warner (1993) show that the private information help by informed traders and revealed through trading influences market volatility. Cornell and Sirri (1992)' and Meulbroek (1992) investigate the actual insider trading activities in a tender offer case and the prosecuted illegal trading cased, respectively. This paper examines the aggregate and individual impact of marketwide information, company-specific public information, and company-specific private information on equity prices. Specifically, we use the thirty common stocks in the Dow Jones Industrial Average (DJIA) and twenty one National Association of Securities Dealers Automated Quotations (NASDAQ) common stocks to examine how their prices react to information. Marketwide information (public and private) is estimated by the movement in the Standard and Poors (S & P) 500 Index price for the DJIA stocks and the movement in the NASDAQ Composite Index price for the NASDAQ stocks. Divedend and earnings announcements are used as a subset of company-specific public information. The trading activity of corporate insiders (major corporate officers, members of the board of directors, and owners of at least 10 percent of any equity class) with an access to private information can be cannot legally trade on private information. Therefore, most insider transactions are not necessarily based on private information. Nevertheless, we hypothesize that market participants observe how insiders trade in order to infer any information that they cannot possess because insiders tend to buy (sell) when they have good (bad) information about their company. For example, Damodaran and Liu (1993) show that insiders of real estate investment trusts buy (sell) after they receive favorable (unfavorable) appraisal news before the information in these appraisals is released to the public. Price discovery in a competitive multiple-dealership market (NASDAQ) would be different from that in a monopolistic specialist system (NYSE). Consequently, we hypothesize that NASDAQ stocks are affected more by private information (or more precisely, insider trading) than the DJIA stocks. In the next section, we describe our choices of the fifty-one stocks and the public and private information set. We also discuss institutional differences between the NYSE and the NASDAQ market. In Section II, we examine the implications of public and private information for the volatility of daily returns of each stock. In Section III, we turn to the question of the relative importance of individual elements of our information set. Further analysis of the five DJIA stocks and the four NASDAQ stocks that are most sensitive to earnings announcements is given in Section IV, and our results are summarized in Section V.

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발생 간격 기반 가중치 부여 기법을 활용한 데이터 스트림에서 가중치 순차패턴 탐색 (Finding Weighted Sequential Patterns over Data Streams via a Gap-based Weighting Approach)

  • 장중혁
    • 지능정보연구
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    • 제16권3호
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    • pp.55-75
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    • 2010
  • 일반적인 순차패턴 마이닝에서는 분석 대상 데이터 집합에 포함되는 구성요소의 발생 순서만을 고려하며, 따라서 단순 순차패턴은 쉽게 찾을 수 있는 반면 실제 응용 분야에서 널리 활용될 수 있는 관심도가 큰 순차패턴을 탐색하는데 한계가 있다. 이러한 단점을 보완하기 위한 대표적인 연구 주제들 중의 하나가 가중치 순차패턴 탐색이다. 가중치 순차패턴 탐색에서는 관심도가 큰 순차패턴을 얻기 위해서 구성요소의 단순 발생 순서 뿐만 아니라 구성요소의 가중치를 추가로 고려한다. 본 논문에서는 발생 간격에 기반 한 순차패턴 가중치 부여 기법 및 이를 활용한 순차 데이터 스트림에 대한 가중치 순차패턴 탐색 방법을 제안한다. 발생 간격 기반 가중치는 사전에 정의된 별도의 가중치 정보를 필요로 하지 않으며 순차정보를 구성하는 구성요소들의 발생 간격으로부터 구해진다. 즉, 순차패턴의 가중치를 구하는데 있어서 구성요소의 발생순서와 더불어 이들의 발생 간격을 고려하며, 따라서 보다 관심도가 크고 유용한 순차패턴을 얻는데 도움이 된다. 한편, 근래 대부분의 컴퓨터 응용 분야에서는 한정적인 데이터 집합 형태가 아닌 데이터 스트림 형태로 정보를 발생시키고 있다. 이와 같은 데이터 생성 환경의 변화를 고려하여 본 논문에서는 순차 데이터 스트림을 마이닝 대상으로 고려하였다.

A New Item Recommendation Procedure Using Preference Boundary

  • Kim, Hyea-Kyeong;Jang, Moon-Kyoung;Kim, Jae-Kyeong;Cho, Yoon-Ho
    • Asia pacific journal of information systems
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    • 제20권1호
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    • pp.81-99
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    • 2010
  • Lately, in consumers' markets the number of new items is rapidly increasing at an overwhelming rate while consumers have limited access to information about those new products in making a sensible, well-informed purchase. Therefore, item providers and customers need a system which recommends right items to right customers. Also, whenever new items are released, for instance, the recommender system specializing in new items can help item providers locate and identify potential customers. Currently, new items are being added to an existing system without being specially noted to consumers, making it difficult for consumers to identify and evaluate new products introduced in the markets. Most of previous approaches for recommender systems have to rely on the usage history of customers. For new items, this content-based (CB) approach is simply not available for the system to recommend those new items to potential consumers. Although collaborative filtering (CF) approach is not directly applicable to solve the new item problem, it would be a good idea to use the basic principle of CF which identifies similar customers, i,e. neighbors, and recommend items to those customers who have liked the similar items in the past. This research aims to suggest a hybrid recommendation procedure based on the preference boundary of target customer. We suggest the hybrid recommendation procedure using the preference boundary in the feature space for recommending new items only. The basic principle is that if a new item belongs within the preference boundary of a target customer, then it is evaluated to be preferred by the customer. Customers' preferences and characteristics of items including new items are represented in a feature space, and the scope or boundary of the target customer's preference is extended to those of neighbors'. The new item recommendation procedure consists of three steps. The first step is analyzing the profile of items, which are represented as k-dimensional feature values. The second step is to determine the representative point of the target customer's preference boundary, the centroid, based on a personal information set. To determine the centroid of preference boundary of a target customer, three algorithms are developed in this research: one is using the centroid of a target customer only (TC), the other is using centroid of a (dummy) big target customer that is composed of a target customer and his/her neighbors (BC), and another is using centroids of a target customer and his/her neighbors (NC). The third step is to determine the range of the preference boundary, the radius. The suggested algorithm Is using the average distance (AD) between the centroid and all purchased items. We test whether the CF-based approach to determine the centroid of the preference boundary improves the recommendation quality or not. For this purpose, we develop two hybrid algorithms, BC and NC, which use neighbors when deciding centroid of the preference boundary. To test the validity of hybrid algorithms, BC and NC, we developed CB-algorithm, TC, which uses target customers only. We measured effectiveness scores of suggested algorithms and compared them through a series of experiments with a set of real mobile image transaction data. We spilt the period between 1st June 2004 and 31st July and the period between 1st August and 31st August 2004 as a training set and a test set, respectively. The training set Is used to make the preference boundary, and the test set is used to evaluate the performance of the suggested hybrid recommendation procedure. The main aim of this research Is to compare the hybrid recommendation algorithm with the CB algorithm. To evaluate the performance of each algorithm, we compare the purchased new item list in test period with the recommended item list which is recommended by suggested algorithms. So we employ the evaluation metric to hit the ratio for evaluating our algorithms. The hit ratio is defined as the ratio of the hit set size to the recommended set size. The hit set size means the number of success of recommendations in our experiment, and the test set size means the number of purchased items during the test period. Experimental test result shows the hit ratio of BC and NC is bigger than that of TC. This means using neighbors Is more effective to recommend new items. That is hybrid algorithm using CF is more effective when recommending to consumers new items than the algorithm using only CB. The reason of the smaller hit ratio of BC than that of NC is that BC is defined as a dummy or virtual customer who purchased all items of target customers' and neighbors'. That is centroid of BC often shifts from that of TC, so it tends to reflect skewed characters of target customer. So the recommendation algorithm using NC shows the best hit ratio, because NC has sufficient information about target customers and their neighbors without damaging the information about the target customers.

딸기 촉성재배 시 국소 냉방 및 단근처리와 국소난방이 화방출뢰와 난방에너지소비에 미치는 영향 (Effects of Local Cooling and Root Pruning on Budding and Local Heating on Heating Energy Consumption in Forcing Cultivation of Strawberry)

  • 권진경;강석원;백이;문종필;장재경;오성식
    • 생물환경조절학회지
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    • 제28권1호
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    • pp.46-54
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    • 2019
  • 히트펌프와 냉온수 배관을 이용한 촉성재배 '설향' 딸기의 관부와 근권부에 대한 국소 냉난방 시험과 정식 전 딸기묘의 단근처리 시험을 수행하였다. 정식(2017년 8월 31일) 후 주간의 관부 표면온도는 국소냉방구가 $18{\sim}22^{\circ}C$로 화아분화에 적합한 온도를 유지한 반면 무처리구와 근권부 냉방구는 화아분화 한계온도인 $25^{\circ}C$를 상회한 $30^{\circ}C$ 이상으로 나타났다. 정식 후 30일 경과 시의 생육조사 결과 국소냉방처리 간의 생육차이는 없었으며 단근처리묘에서 초장과 엽병장이 상대적으로 작았으나 전체적으로 지상부의 생육저하는 크지 않은 것으로 나타났다. 국소냉방 및 단근처리에 대한 화방출뢰율을 조사한 결과 정화방 출뢰율은 구입묘를 제외하고 단근처리묘와 비단근처리묘에서 모두 관부 국소냉방구, 근권부 국소냉방구, 대조구의 순서로 높게 나타났으며, 대조구, 근권부 국소난방구, 관부 국소난방구 모두에서 단근처리묘가 비단근처리묘에 비해 높게 나타났다. 정화방 출뢰율은 관부 국소난방구 단근처리묘가 가장 높았으며 가장 낮은 무처리 비단근처리묘 보다 시기별 최대 3.8배 높게 나타났다. 1차 액화방의 출뢰율은 처리구 간 차이가 정화방에 비해 크지 않으나 정화방과 동일한 경향을 나타내었다. 2018년 3월 27일까지의 상품과 수확량은 구입묘를 제외하고 관부 국소난방구, 근권부 국소난방구, 대조구의 순서로 나타났으며, 단근처리묘가 비단근처리묘보다 수확량이 높았다. 이러한 경향은 2018년 2월 14일까지의 정화방 중심의 초기수확량에서 뚜렷하게 나타났으며 2018년 3월 9일부터 국소냉방과 단근처리의 영향은 줄어드는 것으로 나타났다. 난방시험의 경우 근권부 국소난방구(근권 $20^{\circ}C$+공간 $5^{\circ}C$)와 관부 국소난방구(관부 $20^{\circ}C$+공간 $5^{\circ}C$)는 대조구(공간 $9^{\circ}C$) 대비 각각 59%와 65%의 난방유 절감이 가능하였으며, 히트펌프 가동에 의한 전기소비를 반영하였을 때 난방비는 각각 55%와 61%가 절감되는 것으로 분석되었다. 히트펌프와 배관을 이용한 촉성재배 '설향' 딸기의 관부 국소냉난방은 초기수확량 증가와 난방에너지절감 효과를 확인할 수 있었으나 화아분화 촉진에 의한 화방출뢰의 조진화는 정식시기, 환경조건, 초기생육이 미치는 영향이 크므로 이와 관련한 추가적인 연구가 필요한 것으로 판단되었다.

한우 농가 대상 국내산 조사료 이용실태 및 농가 의식조사 (Estimation on the Consumption Patterns and Consciousness of Domestic Forage in Korean Native Cattle Farmers)

  • 이세영;천동원;박형수;최기춘;양승학;이배훈;이병우;정종성
    • 한국초지조사료학회지
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    • 제42권1호
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    • pp.17-25
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    • 2022
  • 국산 조사료 재배면적은 과거에 비해 크게 증가하였지만, 국내산 조사료 자급률은 2010년 이후로 80%내외로 정체가 심화된 상황으로 농가에서는 사용이 편리한 수입산 건초를 선호하고 있는 실정이다. 따라서 본 연구를 통하여 국내산 조사료의 이용 실태 및 수입 조사료 대비 국내 조사료에 대한 인식, 품질 경쟁력 등을 점검하여 향후 국내 조사료 자급률 확대를 위해 품질 개선 방안 및 정책 방안을 도출하고자 본 연구를 추진하였다. 한우 농가에서는 수입산과 국내산 조사료 비율이 3:7 정도로 국내산 조사료 비중이 높게 나타났다. 국내산 조사료 조달 방법은 구입이 55.6%, 자가 재배가 44.4%로 나타났다. 조사료 형태별 사용 비율은 볏짚 50.5%, 국내산 건초 15%, 수입산 건초 12.5%, TMR 10.7% 순으로 나타났다. 한우농가에서 조사료 구입 시 중요도는 이물질 혼입, 수분, 가격, 사료가치 순이었다. 국내산과 수입산의 만족도 분석 결과에서 국내산 조사료의 가격은 수입산 조사료 대비 높게 나타난 반면 수분함량, 이물질 혼입 등은 낮게 나타났다. 또한 수입산 조사료 대비 국내산 조사료 만족도 및 중요도 산출 결과에서 가격을 제외한 모든 항목에서 수입산 조사료의 만족도가 대체적으로 높게 나타났다. 따라서 한우농가에서 조사료 만족도 제고를 위해서는 우선 이물질 혼입을 최소화하고 수분함량을 균일하게 할 수 있는 건초 형태로의 개선이 필요할 것으로 보인다.

웹검색 트래픽 정보를 활용한 지능형 브랜드 포지셔닝 시스템 : 태블릿 PC 사례를 중심으로 (Intelligent Brand Positioning Visualization System Based on Web Search Traffic Information : Focusing on Tablet PC)

  • 전승표;박도형
    • 지능정보연구
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    • 제19권3호
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    • pp.93-111
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    • 2013
  • 최근 독감 예측이나 부동산가격 예측 등 다양한 분야에서 웹검색 트래픽이나 소셜 네트워크 등의 방대한 고객 데이터를 통해 사회 현상, 소비 트렌드 등을 분석하고자 하는 시도가 증가하고 있다. 최근 구글이나 네이버 등의 인터넷 포털서비스 업체들은 온라인 사용자들의 웹검색 트래픽 정보를 구글 트렌드, 네이버 트렌드 등의 서비스로 공개하고 있는데, 이들이 제공하는 웹검색 트래픽 정보를 기반으로 온라인 사용자들의 정보 검색 행태에 대한 연구들이 학계 업계 등에서 주목받고 있다. 웹검색 정보를 기반으로 사회 현상이나, 소비 동향, 정치 투표 결과 등을 예측해 볼 수 있음을 실증하고 있는 분야는 많은 연구가 수행되고 있지만, 웹검색 트래픽 정보를 이용하여, 소비자의 제품에 대한 중요한 속성 도출 및 소비자의 기대 변화 관측 등의 온라인 사용자 행태에 초점을 맞추어 연구되고 있는 분야는 상대적으로 많은 연구가 수행되고 있지는 않다. 따라서, 본 연구에서는 구글이나 네이버가 제공하는 소비자의 웹검색 트래픽을 활용해서 소비자가 생각하는 제품 포지션을 가시화할 수 있는 방법을 제안한다. 브랜드 간의 관계를 확인하기 위해, 동시 검색 트래픽 정보를 활용하여 네트워크 모델링의 방법을 사용한 시스템을 제안하고 있으며, 이를 통해 소비자들이 제품 간의 유사성을 어떻게 인지하고 형성하며, 새로운 혁신 제품 카테고리 내에서 제품 브랜드들이 소비자의 마음 속에서 어떻게 자리 잡고 있는지의 브랜드 포지셔닝을 확인할 수 있는 방법론을 제안하였다. 또한 이를 태블릿 PC의 사례를 통해서, 미시적인 관점에서 소비자의 마음속에 위치한 태블릿 PC 개별 브랜드들의 위치 및 관계를 보여주었다. 기업은 소비자의 제품에 대한 인식 및 중요 속성 도출을 위해 많은 비용과 시간을 소요하여 소비자 조사를 행하게 되는데, 본 연구의 방법론을 활용하여 소비자의 제품에 대한 인식, 제품간 유사도, 제품에 대한 중요 속성의 변화 등을 일반에게 공개된 검색 트래픽 정보를 활용하여 비교적 쉽고 추가적인 비용 없이 도출할 수 있을 것이다.

스마트폰의 지각된 가치와 지속적 사용의도, 그리고 개인 혁신성의 조절효과 (An Empirical Study on Perceived Value and Continuous Intention to Use of Smart Phone, and the Moderating Effect of Personal Innovativeness)

  • 한준형;강성배;문태수
    • Asia pacific journal of information systems
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    • 제23권4호
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    • pp.53-84
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    • 2013
  • With rapid development of ICT (Information and Communications Technology), new services by the convergence of mobile network and application technology began to appear. Today, smart phone with new ICT convergence network capabilities is exceedingly popular and very useful as a new tool for the development of business opportunities. Previous studies based on Technology Acceptance Model (TAM) suggested critical factors, which should be considered for acquiring new customers and maintaining existing users in smart phone market. However, they had a limitation to focus on technology acceptance, not value based approach. Prior studies on customer's adoption of electronic utilities like smart phone product showed that the antecedents such as the perceived benefit and the perceived sacrifice could explain the causality between what is perceived and what is acquired over diverse contexts. So, this research conceptualizes perceived value as a trade-off between perceived benefit and perceived sacrifice, and we need to research the perceived value to grasp user's continuous intention to use of smart phone. The purpose of this study is to investigate the structured relationship between benefit (quality, usefulness, playfulness) and sacrifice (technicality, cost, security risk) of smart phone users, perceived value, and continuous intention to use. In addition, this study intends to analyze the differences between two subgroups of smart phone users by the degree of personal innovativeness. Personal innovativeness could help us to understand the moderating effect between how perceptions are formed and continuous intention to use smart phone. This study conducted survey through e-mail, direct mail, and interview with smart phone users. Empirical analysis based on 330 respondents was conducted in order to test the hypotheses. First, the result of hypotheses testing showed that perceived usefulness among three factors of perceived benefit has the highest positive impact on perceived value, and then followed by perceived playfulness and perceived quality. Second, the result of hypotheses testing showed that perceived cost among three factors of perceived sacrifice has significantly negative impact on perceived value, however, technicality and security risk have no significant impact on perceived value. Also, the result of hypotheses testing showed that perceived value has significant direct impact on continuous intention to use of smart phone. In this regard, marketing managers of smart phone company should pay more attention to improve task efficiency and performance of smart phone, including rate systems of smart phone. Additionally, to test the moderating effect of personal innovativeness, this research conducted multi-group analysis by the degree of personal innovativeness of smart phone users. In a group with high level of innovativeness, perceived usefulness has the highest positive influence on perceived value than other factors. Instead, the analysis for a group with low level of innovativeness showed that perceived playfulness was the highest positive factor to influence perceived value than others. This result of the group with high level of innovativeness explains that innovators and early adopters are able to cope with higher level of cost and risk, and they expect to develop more positive intentions toward higher performance through the use of an innovation. Also, hedonic behavior in the case of the group with low level of innovativeness aims to provide self-fulfilling value to the users, in contrast to utilitarian perspective, which aims to provide instrumental value to the users. However, with regard to perceived sacrifice, both groups in general showed negative impact on perceived value. Also, the group with high level of innovativeness had less overall negative impact on perceived value compared to the group with low level of innovativeness across all factors. In both group with high level of innovativeness and with low level of innovativeness, perceived cost has the highest negative influence on perceived value than other factors. Instead, the analysis for a group with high level of innovativeness showed that perceived technicality was the positive factor to influence perceived value than others. However, the analysis for a group with low level of innovativeness showed that perceived security risk was the second high negative factor to influence perceived value than others. Unlike previous studies, this study focuses on influencing factors on continuous intention to use of smart phone, rather than considering initial purchase and adoption of smart phone. First, perceived value, which was used to identify user's adoption behavior, has a mediating effect among perceived benefit, perceived sacrifice, and continuous intention to use smart phone. Second, perceived usefulness has the highest positive influence on perceived value, while perceived cost has significant negative influence on perceived value. Third, perceived value, like prior studies, has high level of positive influence on continuous intention to use smart phone. Fourth, in multi-group analysis by the degree of personal innovativeness of smart phone users, perceived usefulness, in a group with high level of innovativeness, has the highest positive influence on perceived value than other factors. Instead, perceived playfulness, in a group with low level of innovativeness, has the highest positive factor to influence perceived value than others. This result shows that early adopters intend to adopt smart phone as a tool to make their job useful, instead market followers intend to adopt smart phone as a tool to make their time enjoyable. In terms of marketing strategy for smart phone company, marketing managers should pay more attention to identify their customers' lifetime value by the phase of smart phone adoption, as well as to understand their behavior intention to accept the risk and uncertainty positively. The academic contribution of this study primarily is to employ the VAM (Value-based Adoption Model) as a conceptual foundation, compared to TAM (Technology Acceptance Model) used widely by previous studies. VAM is useful for understanding continuous intention to use smart phone in comparison with TAM as a new IT utility by individual adoption. Perceived value dominantly influences continuous intention to use smart phone. The results of this study justify our research model adoption on each antecedent of perceived value as a benefit and a sacrifice component. While TAM could be widely used in user acceptance of new technology, it has a limitation to explain the new IT adoption like smart phone, because of customer behavior intention to choose the value of the object. In terms of theoretical approach, this study provides theoretical contribution to the development, design, and marketing of smart phone. The practical contribution of this study is to suggest useful decision alternatives concerned to marketing strategy formulation for acquiring and retaining long-term customers related to smart phone business. Since potential customers are interested in both benefit and sacrifice when evaluating the value of smart phone, marketing managers in smart phone company has to put more effort into creating customer's value of low sacrifice and high benefit so that customers will continuously have higher adoption on smart phone. Especially, this study shows that innovators and early adopters with high level of innovativeness have higher adoption than market followers with low level of innovativeness, in terms of perceived usefulness and perceived cost. To formulate marketing strategy for smart phone diffusion, marketing managers have to pay more attention to identify not only their customers' benefit and sacrifice components but also their customers' lifetime value to adopt smart phone.

유통업체의 위치기반 모바일 쇼핑서비스 제공에 대한 소비자 반응 : PAD 감정모델과 정보의 상황관련성을 중심으로 (Consumer Responses to Retailer's Location-based Mobile Shopping Service : Focusing on PAD Emotional State Model and Information Relevance)

  • 이현화;문희강
    • 한국유통학회지:유통연구
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    • 제17권2호
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    • pp.63-92
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    • 2012
  • 본 연구는 소비자가 지각하는 유통업체의 위치기반 모바일 쇼핑정보 서비스에 대한 정보의 상황관련성과 정보자극에 대한 PAD 감정변수들(환기, 지배력, 즐거움) 간의 상호 인과관계와 이용의도에 대한 이들의 효과를 실증 연구 하였다. 미국 내 모바일 이용자를 대상으로 무작위 표본추출법에 근거하여 추출되었고, 총 335명의 사용가능한 응답이 수거되었다. 분석결과, 환기와 상황관련성은 즐거움에 정(+)의 영향을 주었으나 지배력은 즐거움에 유의한 영향력을 나타내지 않았다. 즐거움은 이용의도에 정(+)의 영향을 주었다. 본 연구를 통해 위치기반 모바일 서비스에 대한 소비자의 인지적 반응과 감정적 반응을 통합적으로 살펴보았으며, PAD 감정차원간의 체계적인 관계를 규명하였다. 연구결과를 바탕으로 모바일 쇼핑서비스 개발자, 유통업체, 그리고 마케팅 실무자를 위한 시사점을 논의하였으며, 연구의 한계점과 더불어 향후 연구 방향을 제시하였다.

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