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중국 배달 앱의 온라인리뷰가 행동의도에 미치는 영향에 관한 연구 -가격민감도와 멤버십의 매개적 조절효과-
지로요 ( Zhi Lu Yao ),하홍열 ( Ha Hong Youl ) 한중사회과학학회 2022 한중사회과학연구 Vol.20 No.1
본 연구는 배달 앱을 이용하는 중국 소비자를 대상으로, 온라인리뷰가 어떻게 소비자의 행동의도에 영향을 미치는가를 고찰한다. 이를 위해 온라인 고객이 상품을 구매할 때 고려하는 가격민감도와 특정 앱을 이용할 때 사용되는 고객정보인 멤버십의 조절 및 매개적 조절효과를 함께 고찰한다. 총 881명의 유효한 표본을 가지고, 본 연구에서 제시한 가설을 회귀분석 Process Macro를 이용하여 분석하였다. 연구결과를 살펴보면, 첫째, 온라인리뷰 수준이 높아지면, 소비자의 지각된 가치에 긍정적인 영향을 준다는 결과를 보여주고 있다. 둘째, 온라인리뷰와 행동의도의 관계는 가격민감도 수준에 의해 영향을 받고 있으며, 특히, 가격민감도가 낮은 집단에서는 온라인리뷰가 긍정적일 때, 행동의도가 높아진다. 다만, 가격민감도가 높은 집단에서 온라인리뷰가 긍정적일 때, 행동의도는 상대적으로 높아진다. 마지막으로, 가격민감도가 높고 비회원인 고객인 경우, 온라인리뷰가 긍정적일 때, 지각된 가치가 상대적으로 낮게 나타나는 결과를 보여주고 있다. This study examines how online reviews influence behavioral intentions in the context of the Chinese food delivery applications. In so doing, we test the impacts of price sensitivity and the type of customer membership using the mediated moderation approach which plays an important role in bridging the relationship between the two constructs. We collected a total of 881 usable samples, and then, test our proposed hypotheses using Process Macro. First, our findings show that positive online reviews significantly influence customers’ perceived value. Second, the relationship between online reviews and behavioral intentions is affected by the level of price sensitivity. In particular, for the group of low price sensitivity, when online reviews are positive, behavioral intentions are high. However, for the group of high price sensitivity, when online reviews are positive, behavioral intentions are relatively high. Finally, in the case of high price sensitivity and non-membership customers, when online reviews are positive, perceived value is relatively low.
Morphology control of mesoporous Cu<sub>2</sub>O by reductants and its photocatalytic activity
Chu, Xiao-Zhong,Cheng, Zhi-Peng,Zhao, Yi-Jiang,Xu, Ji-Ming,Li, Mei-Sheng,Hu, Lei,Zhou, Shou-Yong,Wu, Fei-Yue,Lee, Chang-Ha Elsevier 2017 CERAMICS INTERNATIONAL Vol.43 No.11
<P><B>Abstract</B></P> <P>Mesoporous Cu<SUB>2</SUB>O particles with different morphologies were synthesized via simple one-pot reactions. Effects of reducing agents, dispersant, template, and temperature on the <B>structure</B> of the prepared materials were investigated. Mesoporous flower-shaped Cu<SUB>2</SUB>O materials were obtained at 70℃ using glucose <B>as a reductant</B>. Different hollow microsphere shapes of Cu<SUB>2</SUB>O could be prepared at 40℃ using <B>another type of reductant, ascorbic acid</B>. The results indicated that the uniform morphology of synthesized Cu<SUB>2</SUB>O with mesopores presented a maximum specific surface area of 45.3m<SUP>2</SUP>/g. Furthermore, the as-prepared Cu<SUB>2</SUB>O particles showed good photodegradation efficiencies of methyl orange in the range of 86.0–93.7%, depending on their morphologies.</P>
Using the dependent wild bootstrap for the nonparametric goodness-of-fit test for density functions
Kim, Taeyoon,Park, Cheolyong,Ha, Jeongcheol,Luo, Zhi-Ming,Hwang, Sun Young Taylor Francis 2016 Statistics Vol.50 No.4
<P>In this paper, we consider the well-known nonparametric consistent model-specification test for the stationary density function (see [Ait-Sahalia Y. Testing continuous-time models of the spot interest rate. Rev Financ Stud. 1996;9:385-426; Li Q. Nonparametric testing of closeness between two unknown distribution functions. Econ Rev. 1996;15:261-274; Fan Y, Ullah A. On goodness-of-fit tests for weakly dependent processes using kernel method. J Nonparametric Stat. 2000;11:337-360]) and reinvestigate it carefully using asymptotics and simulation. Our work reveals that the test is subject to power and size distortions, which are mainly caused by dependence or convergence rate changes under the null and alternative hypothesis. A dependent wild bootstrap is newly suggested as a feasible remedy to such distortions. Our result provides a complete explanation as well as a solution to the problem that experienced by Ait-Sahalia [Testing continuous-time models of the spot interest rate. Rev Financ Stud. 1996;9:385-426], that is, that the test rejects true models too often when independent and identically distributed asymptotic critical values are used.</P>