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    Prior research has found out that online agents derive higher price sensitivity on consumers from price competition. On the contrary, Linch and Ariely(2000) contend that online agents make price sensitivity lower by providing distinct product qualities intensely.With regard to these opposite opinions, we suggest that the cohesiveness of information provided by online agents may affect the price sensitivity of consumers. This is a creative point of view about online agents' effects on price sensitivity.We carried out 3 experiments in order to prove our hypotheses. In Experiment 1, we found out that if online agents provide product information more cohesively, consumers pay more attention to the quality of alternatives than price, and then their price sensitivity become blunt. On the other hand, when online agents provide information less cohesively, consumers take more notice of the price of the alternatives than their quality, and this makes their price sensitivity higher. That is, cohesiveness of information provided by online agents affected the price sensitivity of consumers. Attention of attributes information mediated price sensitivity of consumers.In Experiment 2, we included the possibility inferred by prior researches that the price level of product category may impact the cohesiveness of price sensitivity. According to the results, cohesiveness of information affected price sensitivity of low-priced product only, whereas, it does not in case of higher-priced product.On the other hand, we suggested an alternative explanation that cohesiveness of information might brings features of product category (attention to price vs. attention to quality) into largely and could influence price sensitivity in experiment 2. That is to say, when the attributes information of the price-attention product category is given cohesively, consumers tend to more pay attention to price information and price sensitivity grows much higher, while in case of cohesiveness of the attributes information of quality-attention product category,consumers more pay attention to quality information, so price sensitivity lowers. Specifically, experiment 2 has the experiment design of 2 (price level of product category:low price and attention to quality vs. high price and attention to price) × 2 (cohesiveness: more cohesiveness vs. less cohesiveness) Therefore, alternative explanation says that the results of Ex. 2 may be influenced by a confounding effect - price level and product category.For ruling out this explanation, we used between subjects design of 2 (price level of productcategory: low price and attention to price vs. high price and attention to quality) × 2 (cohesiveness: more cohesiveness vs. less cohesiveness). The experiment design was parsimonious.If cohesiveness effect shows in the product category of low price and price attention, we could prove that cohesiveness effect arises not by product category level but by price level.The result of Experiment 3 revealed that the alternative explanation was erase. Weenhanced the generalizability of Experiment 2.Conclusively, we have shown that the similarity of judgment theory developed by Ritov,Gati, and Tversky(1990) may play an important role in predicting the price sensitivity of consumers with the product information provided by online agents, only in low-priced product category.
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    Prior research has found out that online agents derive higher price sensitivity on consumers from price competition. On the contrary, Linch and Ariely(2000) contend that online agents make price sensitivity lower by providing distinct product qualitie...

    Prior research has found out that online agents derive higher price sensitivity on consumers from price competition. On the contrary, Linch and Ariely(2000) contend that online agents make price sensitivity lower by providing distinct product qualities intensely.With regard to these opposite opinions, we suggest that the cohesiveness of information provided by online agents may affect the price sensitivity of consumers. This is a creative point of view about online agents' effects on price sensitivity.We carried out 3 experiments in order to prove our hypotheses. In Experiment 1, we found out that if online agents provide product information more cohesively, consumers pay more attention to the quality of alternatives than price, and then their price sensitivity become blunt. On the other hand, when online agents provide information less cohesively, consumers take more notice of the price of the alternatives than their quality, and this makes their price sensitivity higher. That is, cohesiveness of information provided by online agents affected the price sensitivity of consumers. Attention of attributes information mediated price sensitivity of consumers.In Experiment 2, we included the possibility inferred by prior researches that the price level of product category may impact the cohesiveness of price sensitivity. According to the results, cohesiveness of information affected price sensitivity of low-priced product only, whereas, it does not in case of higher-priced product.On the other hand, we suggested an alternative explanation that cohesiveness of information might brings features of product category (attention to price vs. attention to quality) into largely and could influence price sensitivity in experiment 2. That is to say, when the attributes information of the price-attention product category is given cohesively, consumers tend to more pay attention to price information and price sensitivity grows much higher, while in case of cohesiveness of the attributes information of quality-attention product category,consumers more pay attention to quality information, so price sensitivity lowers. Specifically, experiment 2 has the experiment design of 2 (price level of product category:low price and attention to quality vs. high price and attention to price) × 2 (cohesiveness: more cohesiveness vs. less cohesiveness) Therefore, alternative explanation says that the results of Ex. 2 may be influenced by a confounding effect - price level and product category.For ruling out this explanation, we used between subjects design of 2 (price level of productcategory: low price and attention to price vs. high price and attention to quality) × 2 (cohesiveness: more cohesiveness vs. less cohesiveness). The experiment design was parsimonious.If cohesiveness effect shows in the product category of low price and price attention, we could prove that cohesiveness effect arises not by product category level but by price level.The result of Experiment 3 revealed that the alternative explanation was erase. Weenhanced the generalizability of Experiment 2.Conclusively, we have shown that the similarity of judgment theory developed by Ritov,Gati, and Tversky(1990) may play an important role in predicting the price sensitivity of consumers with the product information provided by online agents, only in low-priced product category.

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 계속평가 신청대상 (등재유지)
    2017-01-01 등재 우수등재학술지 선정 (계속평가)
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2006-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2004-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2001-07-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1999-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.45 1.45 1.48
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    1.64 1.69 2.793 0.2
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