Abstract
With the advancement of Internet technology and the rise of e-commerce, Big Data Analytics can be applied to assess service quality for e-commerce industry achieving customer relationship improvement and reflecting the service quality of transaction. Online bookstore is a form of electronic commerce which allows consumers to directly buy books or services from a seller over the Internet using a web browser or a app program. Most researches are focus on expert opinion or few sample to measure the critical criteria. The goal of this study is to explore and demonstrate the utility of big data analytics by using it to study core online bookstore service quality variables that have been extensively studied in past decades. Text analysis method to extract a large number of consumer reviews from Amazon to deconstruct the bookstore customer experience and examine its relationship with satisfaction. This paper proposed a framework that integration of big data analytic and SERVQUAL model to measure the importance and relationship of service quality criteria. How to provide a level of service quality that satisfies consumers is an important issue for operators of online bookstores. Further research will apply Amazon data set to evaluate the criteria.
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References
Laney, D.: 3D Data Management: Controlling Data Volume, Velocity and Variety. META Group Research Note, 6(70) (2001)
Beyer, M.A. Laney, D.: The Importance of “Big Data”: A Definition. Gartner (2012)
NIST Big Data Working Group (NBD-WG). http://bigdatawg.nist.gov/home.php
IBM, What is big data? - Bringing big data to the enterprise July 2013. http://www-01.ibm.com/software/data/bigdata/
Mayer-Schönberger, V., Cukier, K.: Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt, Boston (2013)
Statista: Retail e-commerce sales CAGR forecast in selected countries from 2016 to 2021, October 2016. Accessed 1 Jan 2018
Kalakota, R., Whinston, A.B.: Electronic Commerce: A Manager Guide. Addison-Wesley, New York (1997)
Grönroos, C.: A service quality model and its marketing implications. Eur. J. Mark. 18(4), 36–44 (1984)
Mukherjee, A., Nath, P., Pal, M.: Resource, service quality and performance triad: a framework for measuring efficiency of banking services. J. Oper. Res. Soc. 54(7), 723–735 (2003)
Ramanathan, R., Karpuzcu, H.: Comparing perceived and expected service using an AHP model: an application to measure service quality of a company engaged in pharmaceutical distribution. Opsearch Indian J. Oper. Res. 48(2), 136–152 (2011)
Parasuraman, A., Zeithaml, V.A., Berry, L.L.: A conceptual model of service quality and its implications for future research. J. Mark. 49(4), 41–50 (1985)
Parasuraman, A., Zeithaml, V.A., Berry, L.L.: Servqual: a multiple-item scale for measuring consumer perceptions of service quality. J. Retail. 64(1), 12–40 (1988)
Nanehkaran, Y.A.: An introduction to electronic commerce. Int. J. Sci. Technol. Res. 2(4), 190–193 (2013)
Viehland, D.: Principles for e-business success. In: PACIS 2000 Proceedings, vol. 7, pp. 78–87 (2000)
Spreng, A.R., Mackoy, D.R.: An empirical examination of a model of perceived service quality and satisfaction. J. Retail. 72, 201–214 (1996)
Wang, C.H.: A study of fuzzy multiple criteria evaluation on service quality of online bookstor. Web J. Chin. Manage. Rev. 20(1), 1–18 (2017)
Lin, H.F.: The application of fuzzy analytic hierarchy process on service quality evaluation of online retailers. J. e-Bus. 8(3), 347–372 (2006)
Zhao, Y., Xu, X., Wang, M.: Predicting overall customer satisfaction: big data evidence from hotel online textual reviews. Int. J. Hosp. Manag 76, 111–121 (2019)
Jinturkar, M., Gotmare, P.,: Sentiment analysis of customer review data using big data: a survey. In: IJCA Proceedings on Emerging Trends in Computing, pp. 3–8 (2016)
Amazon product data. http://snap.stanford.edu/data/amazon/productGraph/
Aljoharah, A., Sahar, B., Alshehri, D., Alzahrani, S., Munirah, A.: Sentiment analysis and visualization of Amazon books’ reviews. In: Conference: 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), pp. 1–6 (2019)
Ali, A., et al.: Big data for development: applications and techniques. Big Data Anal. 1, 2 (2016)
Heng, M.S.H.: Understanding e-commerce from a historical perspective. Commun. AIS 12, 104–118 (2003)
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Jich-Yan, T., Xiu Wen, Y., Chien-Hua, W. (2020). A Framework for Big Data Analytics on Service Quality Evaluation of Online Bookstore. In: Deng, DJ., Pang, AC., Lin, CC. (eds) Wireless Internet. WiCON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-030-52988-8_26
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