Abstract
With the rapid development of information technology featuring “Internet +”, the consumption pattern of e-commerce has impinged heavily on traditional real economy. Unlike the offline service model, for the e-commerce business, how to evaluate online products has become the research object of many scholars. This paper constructs an online reputation evaluation indicator system for consumer products, and develops an AHP model to determine the weight of indicators. It builds an online reputation evaluation model for consumer products based on AHP, and applies it to living examples.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, Yu, Jing Bian, and Weixiang Zhu. 2013. Trust fraud: A crucial challenge for China’s e-commerce market. Electronic Commerce Research and Applications 12 (5): 299–308.
Science-Food Science; New Food Science Study Results from University of Turin Described (Italian Wines In China’s E-commerce Market: Focus on Piedmont Region Products). Food Weekly News, 2019.
Lijuan, Liu. 2019. Theoretic shock and realistic challenge of e-commerce on international trade. Institute of Management Science and Industrial Engineering. Proceedings of 2019 International Conference on Education, Economics, Humanities and Social Sciences(ICEEHSS 2019). Institute of Management Science and Industrial Engineering: Computer Science and Electronic Technology International Society, 4.
Sang, A., R. Ismail, and C. Boyd. 2007. A survey of trust and reputation systems for online service provision. Decision Support Systems 43 (2): 618–644.
Zhang, Y., S.G. Wang, and Y.T. Xu. 2008. Online credit evaluation system based on analytic hierarchy process and set pair analysis. International Symposium on Computational Intelligence and Design, 453–456. Tokyo: IEEE.
Chaoning, Zhang, Zhang Ying, and Xu Yingtao. 2018. Online reputation evaluation model based on discrete time optimal control. Journal of Zhejiang Normal University (Natural Science) 41 (4): 383–389.
Zhiwen, Cai, and Lin Jianzong. 2015. Reputation evaluation of platform-based e-commerce online transaction evaluation subjects. Journal of Southwest China Normal University (Natural Science) 40 (8): 79–85.
Li, Yu, Wang Jianli, Li Changxiao, et al. 2014. Health evaluation of wetlands at Ningxia Sand Lake based on DPSIR and AHP. Journal of Southwest University: Natural Science Edition 36 (2): 124–130.
Tao, Yin. 2012. Construction of road transportation emergency response evaluation indicator system based on analytic hierarchy process. Journal of Southwest China Normal University: Natural Science Edition 37 (11): 107–111.
Heydari, Mohammad, Kin Keung Lai, and Xiaohu Zhou. 30 November 2019. Risk management in supply chains. London: Taylor and Francis.
Jalil, M. I. A., Pitchay, A. A., and Yahya, S. 2019. Cash Waqf and preferred method of payment: Case of Malaysia using an AHP approach. In Revitalization of Waqf for socio-economic development, Vol. II, 187–206. Cham: Palgrave Macmillan.
Acknowledgements
This paper is funded by the National Key Research and Development Program. Project Number: 2017YFF020960302, 2016YFF0202604.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, Y., Lu, X., Han, L., Xu, Y., Ning, X. (2020). Online Reputation Evaluation for Consumer Products Based on Analytic Hierarchy Process (AHP). In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_38
Download citation
DOI: https://doi.org/10.1007/978-981-15-1468-5_38
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1467-8
Online ISBN: 978-981-15-1468-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)