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Research on Feedback Effects Between Perception of Internet Word of Mouth and Online Reviews Based on Dynamic Endogeneity

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11067))

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Abstract

Online reviews as the main communication forms of internet word-of-mouth (iwom) always were regarded as an exogenous variable in the study of existing literature, and the dynamic relationship was regarded as a static single direction between them. Under the dynamic endogeneity, the control variables which can be measured and the dummy variables which are difficult to observation and measurement outside of online reviews are introduced. And in the dynamic panel data model with online reviews of mobile phone as the research object which were released during March 1, 2015 to July 1, 2015 from amazon.com, the endogeneity is controlled by the control variables and the dummy variables, the paper demonstrates that: In the static analysis framework, online reviews and iwom perception are influence each other. The Dummy variables impact online reviews and iwom perception at the same time.

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Acknowledgments

This study was funded by the Social Science Foundation of Jiangsu Province (16TQB009), the Philosophy and Social Sciences Foundation of the Higher Education Institutions of Jiangsu Province (2017SJB1892), the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (17KJB520038), the Social Development Project (Instructional) Supported by Science and Technology of Taizhou 2017 (201702), the Scientific Research Foundation of Taizhou University (QD2016036).

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Correspondence to Jinhai Li .

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Li, J., Ma, Y., Zhu, H., He, Y. (2018). Research on Feedback Effects Between Perception of Internet Word of Mouth and Online Reviews Based on Dynamic Endogeneity. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11067. Springer, Cham. https://doi.org/10.1007/978-3-030-00018-9_58

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  • DOI: https://doi.org/10.1007/978-3-030-00018-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00017-2

  • Online ISBN: 978-3-030-00018-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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