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Published in: BMC Medical Informatics and Decision Making 1/2020

Open Access 01-12-2020 | Research article

Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews

Authors: Jingfang Liu, Yingyi Zhou, Xiaoyan Jiang, Wei Zhang

Published in: BMC Medical Informatics and Decision Making | Issue 1/2020

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Abstract

Background

In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed in Business to Customer (B2C) online pharmacy reviews and analyzes the sentiments expressed in the reviews. The goal of this work is to help B2C online pharmacy enterprises identify consumers’ concerns, continuously improve the health services level.

Methods

This article was based on the Latent Dirichlet Allocation (LDA) topic model. From a third-party platform-based B2C online pharmacy and a proprietary B2C online pharmacy (JD Pharmacy and J1.COM, respectively), 136,630 pieces of over-the-counter (OTC) drug review data posted from January 1, 2015 to December 31, 2018 were selected as samples and used to explore the satisfaction factors of B2C online pharmacy consumers regarding the entire drug purchasing process. Then, the sentiments expressed in the drug reviews were analyzed with SnowNLP.

Result

Categorization of the 12 factors identified by LDA showed that 5 factors were related to logistics; these 5 factors, which also included the most drug reviews, made up 38.5% of the reviews. The number of factors related to drug prices was second, with 3 factors, and reviews of drug prices made up 25.5% of the reviews. Customer service and drug effects each had two related factors, and a smaller percentage of these reviews (13.95%) were related to drug effects. Consumers still maintain positive opinions of JD Pharmacy and J1.COM. However, some opinions on logistics and drug prices are expressed.

Conclusion

The most important task for online pharmacies is to improve logistics. It is better to develop self-built logistics. Both types of B2C online pharmacies can improve consumer viscosity by implementing marketing strategies. With regard to customer service, focusing on improving employees’ service attitudes is necessary.
Literature
1.
go back to reference von Rosen AJ, von Rosen FT, Tinnemann P, et al. Sexual health and the internet: cross-sectional study of online preferences among adolescents. J Med Internet Res. 2017;19(11):e379. von Rosen AJ, von Rosen FT, Tinnemann P, et al. Sexual health and the internet: cross-sectional study of online preferences among adolescents. J Med Internet Res. 2017;19(11):e379.
2.
go back to reference Fox S. Mobile health 2010. Washington: Pew Research Center’s Internet & American Life Project; 2010. Fox S. Mobile health 2010. Washington: Pew Research Center’s Internet & American Life Project; 2010.
3.
go back to reference Andreassen H, Bujnowska-Fedak M, Chronaki C, Dumitru R, Pudule I, Santana S, et al. European citizens’ use of E-health services: a study of seven countries. BMC Public Health. 2007;7:53.PubMedPubMedCentral Andreassen H, Bujnowska-Fedak M, Chronaki C, Dumitru R, Pudule I, Santana S, et al. European citizens’ use of E-health services: a study of seven countries. BMC Public Health. 2007;7:53.PubMedPubMedCentral
4.
go back to reference Takahashi Y, Ohura T, Ishizaki T, Okamoto S, Miki K, Naito M, et al. Internet use for health-related information via personal computers and cell phones in Japan: a cross-sectional population-based survey. J Med Internet Res. 2011;13(4):e110.PubMedPubMedCentral Takahashi Y, Ohura T, Ishizaki T, Okamoto S, Miki K, Naito M, et al. Internet use for health-related information via personal computers and cell phones in Japan: a cross-sectional population-based survey. J Med Internet Res. 2011;13(4):e110.PubMedPubMedCentral
5.
go back to reference Jacobs W, Amuta AO, Jeon KC. Health information seeking in the digital age: an analysis of health information seeking behavior among US adults [J]. Cogent Social Sci. 2017;3(1):1302785. Jacobs W, Amuta AO, Jeon KC. Health information seeking in the digital age: an analysis of health information seeking behavior among US adults [J]. Cogent Social Sci. 2017;3(1):1302785.
6.
go back to reference Gawron LM, Turok DK. Pills on the World Wide Web: reducing barriers through technology. Am J Obstet Gynecol. 2015;213(4):500.e1–4. Gawron LM, Turok DK. Pills on the World Wide Web: reducing barriers through technology. Am J Obstet Gynecol. 2015;213(4):500.e1–4.
7.
go back to reference Akter S, D'Ambra J, Ray P. Service quality of mHealth platforms: development and validation of a hierarchical model using PLS. Electronic Markets. 2010;20(3-4):209–27. Akter S, D'Ambra J, Ray P. Service quality of mHealth platforms: development and validation of a hierarchical model using PLS. Electronic Markets. 2010;20(3-4):209–27.
8.
go back to reference Orizio G, Schulz P, Domenighini S, Caimi L, Rosati C, Rubinelli S, et al. Cyberdrugs: a cross-sectional study of online pharmacies characteristics. Eur J Pub Health. 2009 Aug;19(4):375–7. Orizio G, Schulz P, Domenighini S, Caimi L, Rosati C, Rubinelli S, et al. Cyberdrugs: a cross-sectional study of online pharmacies characteristics. Eur J Pub Health. 2009 Aug;19(4):375–7.
9.
go back to reference Fox S, Duggan M. Health online 2013. Washington: Pew Research Center; 2013. Fox S, Duggan M. Health online 2013. Washington: Pew Research Center; 2013.
10.
go back to reference Martin K, Papagiannidis S, Li F, et al. Early challenges of implementing an e-commerce system in a medical supply company: a case experience from a knowledge transfer partnership (KTP). Int J Inf Manag. 2008;28(1):68–75. Martin K, Papagiannidis S, Li F, et al. Early challenges of implementing an e-commerce system in a medical supply company: a case experience from a knowledge transfer partnership (KTP). Int J Inf Manag. 2008;28(1):68–75.
11.
go back to reference Fung CH, Woo H, Asch S. Controversies and legal issues of prescribing and dispensing medications using the internet. Mayo Clin Proc. 2004 Feb;79(2):188–94.PubMed Fung CH, Woo H, Asch S. Controversies and legal issues of prescribing and dispensing medications using the internet. Mayo Clin Proc. 2004 Feb;79(2):188–94.PubMed
12.
go back to reference Orizio G, Merla A, Schulz PJ, Gelatti U. Quality of online pharmacies and websites selling prescription drugs: a systematic review. J Med Internet Res. 2011;13(3):e74.PubMedPubMedCentral Orizio G, Merla A, Schulz PJ, Gelatti U. Quality of online pharmacies and websites selling prescription drugs: a systematic review. J Med Internet Res. 2011;13(3):e74.PubMedPubMedCentral
13.
go back to reference Congressional Budget Office. H.R. 6353, Ryan Haight Online Pharmacy Protection Act of 2008. 2008. Congressional Budget Office. H.R. 6353, Ryan Haight Online Pharmacy Protection Act of 2008. 2008.
14.
go back to reference Mackey TK, Nayyar G. Digital danger: a review of the global public health, consumer safety and cybersecurity threats posed by illicit online pharmacies. Br Med Bull. 2016;118(1):110–26.PubMedPubMedCentral Mackey TK, Nayyar G. Digital danger: a review of the global public health, consumer safety and cybersecurity threats posed by illicit online pharmacies. Br Med Bull. 2016;118(1):110–26.PubMedPubMedCentral
16.
go back to reference Dudley J. Research & Markets: mail order and internet pharmacy in Europe: embracing the new challenge - first publication of it's kind now available. Biomedical Market Newsletter, 2011. Dudley J. Research & Markets: mail order and internet pharmacy in Europe: embracing the new challenge - first publication of it's kind now available. Biomedical Market Newsletter, 2011.
17.
go back to reference Cohen JC. Public policy implications of cross-border Internet pharmacies. Managed care (Langhorne, Pa.). 2004;13(3 Suppl):14–6. Cohen JC. Public policy implications of cross-border Internet pharmacies. Managed care (Langhorne, Pa.). 2004;13(3 Suppl):14–6.
18.
go back to reference Blackstone EA, Fuhr JP Jr, Pociask S. The health and economic effects of counterfeit drugs. Am Health Drug Benefits. 2014;7:216–24.PubMedPubMedCentral Blackstone EA, Fuhr JP Jr, Pociask S. The health and economic effects of counterfeit drugs. Am Health Drug Benefits. 2014;7:216–24.PubMedPubMedCentral
19.
go back to reference Howard D. A silent epidemic: protecting the safety and security of drugs. Pharmaceutical Outsourcing. 2010;11(4):16–8. Howard D. A silent epidemic: protecting the safety and security of drugs. Pharmaceutical Outsourcing. 2010;11(4):16–8.
20.
go back to reference Bate R. The deadly world of fake drugs [J]. Forgn Policy. 2008;200809(168):56–62 64-65. Bate R. The deadly world of fake drugs [J]. Forgn Policy. 2008;200809(168):56–62 64-65.
21.
go back to reference Green JF, Moore JD, Attix ES. Use of the Internet and E-mail for Health Care Information: Results From a National Survey—Correction. Clin Exp Pharmacol Physiol. 1975;2(2):181–4.PubMed Green JF, Moore JD, Attix ES. Use of the Internet and E-mail for Health Care Information: Results From a National Survey—Correction. Clin Exp Pharmacol Physiol. 1975;2(2):181–4.PubMed
22.
go back to reference Desai K, Chewning B, Mott D. Health care use amongst online buyers of medications and vitamins. Res Social Adm Pharm. 2015;11(6):844–58.PubMed Desai K, Chewning B, Mott D. Health care use amongst online buyers of medications and vitamins. Res Social Adm Pharm. 2015;11(6):844–58.PubMed
23.
go back to reference iiMedia Report. 2019 E-commerce Market and Development Trend Analysis Report. Guangzhou: iiMedia Comprehensive Health Industry Research Center; 2019. iiMedia Report. 2019 E-commerce Market and Development Trend Analysis Report. Guangzhou: iiMedia Comprehensive Health Industry Research Center; 2019.
24.
go back to reference Erdem SA, Chandra A. E-commerce in healthcare and pharmaceutical marketing—opportunities and concerns. Clin Res Regul Aff. 2003;20(4):399–407. Erdem SA, Chandra A. E-commerce in healthcare and pharmaceutical marketing—opportunities and concerns. Clin Res Regul Aff. 2003;20(4):399–407.
25.
go back to reference Chen Y, Xie J. Online consumer review: word-of-mouth as a new element of marketing communication mix. Manag Sci. 2008;54(3):477–91. Chen Y, Xie J. Online consumer review: word-of-mouth as a new element of marketing communication mix. Manag Sci. 2008;54(3):477–91.
26.
go back to reference Duan W, Gu B, Whinston AB. Do online reviews matter? — an empirical investigation of panel data [J]. Decis Support Syst. 2008;45(4):1007–16. Duan W, Gu B, Whinston AB. Do online reviews matter? — an empirical investigation of panel data [J]. Decis Support Syst. 2008;45(4):1007–16.
27.
go back to reference Ye Q, Law R, Gu B, et al. The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Hum Behav. 2011;27(2):634–9. Ye Q, Law R, Gu B, et al. The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Hum Behav. 2011;27(2):634–9.
28.
go back to reference Kumar N, Benbasat I. Research note: the influence of recommendations and consumer reviews on evaluations of websites. Inf Syst Res. 2006;17(4):425–39. Kumar N, Benbasat I. Research note: the influence of recommendations and consumer reviews on evaluations of websites. Inf Syst Res. 2006;17(4):425–39.
29.
go back to reference Vermeulen IE, Seegers D. Tried and tested: the impact of online hotel reviews on consumer consideration. Tour Manag. 2009;30(1):123–7. Vermeulen IE, Seegers D. Tried and tested: the impact of online hotel reviews on consumer consideration. Tour Manag. 2009;30(1):123–7.
30.
go back to reference Fiske HWM. A long/high view from a stationary geo satellite on project cost control. (a modern birdseye view). Eng Costs Production Econ. 2005;5(2):81–7. Fiske HWM. A long/high view from a stationary geo satellite on project cost control. (a modern birdseye view). Eng Costs Production Econ. 2005;5(2):81–7.
31.
go back to reference Guo Y, Barnes SJ, Jia Q. Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent dirichletallocation. Tour Manag. 2017;59:467–83. Guo Y, Barnes SJ, Jia Q. Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent dirichletallocation. Tour Manag. 2017;59:467–83.
32.
go back to reference Kahraman C, Onar SÇ, Öztayşi B. B2C marketplace prioritization using hesitant fuzzy linguistic AHP. Int J Fuzzy Syst. 2018;20(7):2202–15. Kahraman C, Onar SÇ, Öztayşi B. B2C marketplace prioritization using hesitant fuzzy linguistic AHP. Int J Fuzzy Syst. 2018;20(7):2202–15.
33.
go back to reference Barton T, Bruna T, Kordik P. Chameleon 2: an improved graph-based clustering algorithm. ACM Trans Knowl Discov Data. 2019;13(1):10.1–10.27. Barton T, Bruna T, Kordik P. Chameleon 2: an improved graph-based clustering algorithm. ACM Trans Knowl Discov Data. 2019;13(1):10.1–10.27.
34.
go back to reference van Horn A, Weitz CA, Olszowy KM, et al. Using multiple correspondence analysis to identify behaviour patterns associated with overweight and obesity in Vanuatu adults. Public Health Nutr. 2019;22(9):1–12. van Horn A, Weitz CA, Olszowy KM, et al. Using multiple correspondence analysis to identify behaviour patterns associated with overweight and obesity in Vanuatu adults. Public Health Nutr. 2019;22(9):1–12.
35.
go back to reference Szymanski DM, Hise RT. E-satisfaction: an initial examination [J]. J Retail. 2000;76(3):309–22. Szymanski DM, Hise RT. E-satisfaction: an initial examination [J]. J Retail. 2000;76(3):309–22.
36.
go back to reference Lee MKO, Turban E. A Trust Model for Consumer Internet Shopping. Int J Electron Commer. 2001;6(1):75–91. Lee MKO, Turban E. A Trust Model for Consumer Internet Shopping. Int J Electron Commer. 2001;6(1):75–91.
37.
go back to reference Lin CC, Wu HY, Chang YF. The critical factors impact online consumer satisfaction. Procedia Comp Sci. 2011;3:276–81. Lin CC, Wu HY, Chang YF. The critical factors impact online consumer satisfaction. Procedia Comp Sci. 2011;3:276–81.
38.
go back to reference Liu X, He M, Gao F, et al. An empirical study of online shopping consumer satisfaction in China: a holistic perspective. Int J Retail Distrib Manag. 2008;36(11):919–40. Liu X, He M, Gao F, et al. An empirical study of online shopping consumer satisfaction in China: a holistic perspective. Int J Retail Distrib Manag. 2008;36(11):919–40.
39.
go back to reference Cho Y , Im I , Hiltz R , et al. An analysis of online customer complaints: implications for web complaint management [C]. IEEE Computer Society, 2002. Cho Y , Im I , Hiltz R , et al. An analysis of online customer complaints: implications for web complaint management [C]. IEEE Computer Society, 2002.
40.
go back to reference Torkzadeh G, Dhillon G. Measuring factors that influence the success of internet commerce. Inf Syst Res. 2002;13(2):187–204. Torkzadeh G, Dhillon G. Measuring factors that influence the success of internet commerce. Inf Syst Res. 2002;13(2):187–204.
41.
go back to reference Ziqi L, et al. Internet-based e-shopping and consumer attitudes: an empirical study. Information Management. 2001;38(5):299–306. Ziqi L, et al. Internet-based e-shopping and consumer attitudes: an empirical study. Information Management. 2001;38(5):299–306.
42.
go back to reference Mckinney V, Yoon K, Zahedi F“M”. The measurement of web-consumer satisfaction: an expectation and disconfirmation approach. Inf Syst Res. 2002;13(3):296–315. Mckinney V, Yoon K, Zahedi F“M”. The measurement of web-consumer satisfaction: an expectation and disconfirmation approach. Inf Syst Res. 2002;13(3):296–315.
43.
go back to reference Kim S, Stoel L. Apparel retailers: website quality dimensions and satisfaction. J Retail Consum Serv. 2004;11(2):109–17. Kim S, Stoel L. Apparel retailers: website quality dimensions and satisfaction. J Retail Consum Serv. 2004;11(2):109–17.
44.
go back to reference Wolfinbarger M, Gilly MC. eTailQ: dimensionalizing, measuring and predicting etail quality. J Retail. 2003;79(3):183–98. Wolfinbarger M, Gilly MC. eTailQ: dimensionalizing, measuring and predicting etail quality. J Retail. 2003;79(3):183–98.
45.
go back to reference Koivumaki T, Ristola A, Kesti M. Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment. Int J Mob Commun. 2006;4(4):418–35. Koivumaki T, Ristola A, Kesti M. Predicting consumer acceptance in mobile services: empirical evidence from an experimental end user environment. Int J Mob Commun. 2006;4(4):418–35.
46.
go back to reference Egbert J, Schnur AE. The role of the text in corpus and discourse analysis: a critical review [M]. Corpus Approaches To Discourse. 2018;158:170. Egbert J, Schnur AE. The role of the text in corpus and discourse analysis: a critical review [M]. Corpus Approaches To Discourse. 2018;158:170.
47.
go back to reference Liu W. Automatically refining synonym extraction results: cleaning and ranking. J Inf Sci. 2019;45(4):460–72. Liu W. Automatically refining synonym extraction results: cleaning and ranking. J Inf Sci. 2019;45(4):460–72.
48.
go back to reference Blei DM, Ng AY, Jordan MI, et al. Latent Dirichlet allocation [J]. J Mach Learn Res. 2003;3:993–1022. Blei DM, Ng AY, Jordan MI, et al. Latent Dirichlet allocation [J]. J Mach Learn Res. 2003;3:993–1022.
49.
go back to reference Huang TC, Hsieh CH, Wang HC. Automatic meeting summarization and factor detection system. Data Technologies Appl. 2018;52(3):351–65. Huang TC, Hsieh CH, Wang HC. Automatic meeting summarization and factor detection system. Data Technologies Appl. 2018;52(3):351–65.
50.
go back to reference Poria S, Majumder N, Hazarika D, et al. Multimodal sentiment analysis: addressing key issues and setting up the baselines. IEEE Intell Syst. 2018;33(6):17–25. Poria S, Majumder N, Hazarika D, et al. Multimodal sentiment analysis: addressing key issues and setting up the baselines. IEEE Intell Syst. 2018;33(6):17–25.
51.
go back to reference Slamet C, Atmadja AR, Maylawati DS, et al. Automated text summarization for Indonesian article using Vector Space Model [C]. IOP Conference Series: Materials Science and Engineering. IOP Publishing. 2018;288(1):012037. Slamet C, Atmadja AR, Maylawati DS, et al. Automated text summarization for Indonesian article using Vector Space Model [C]. IOP Conference Series: Materials Science and Engineering. IOP Publishing. 2018;288(1):012037.
52.
go back to reference Huilong Fan,Yongbin Qin. Research on Text Classification Based on Improved TF-IDF Algorithm[C]. Wuhan Zhicheng Times Cultural Development Co., Ltd. Proceedings of 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018). Wuhan Zhicheng Times Cultural Development Co., Ltd. 2018:516–21. Huilong Fan,Yongbin Qin. Research on Text Classification Based on Improved TF-IDF Algorithm[C]. Wuhan Zhicheng Times Cultural Development Co., Ltd. Proceedings of 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018). Wuhan Zhicheng Times Cultural Development Co., Ltd. 2018:516–21.
53.
go back to reference Su L, Li T, Hu Y, et al. Factor analysis on marketing mix of online pharmacies - based on the online pharmacies in China. J Med Mark. 2013;13(2):93–101. Su L, Li T, Hu Y, et al. Factor analysis on marketing mix of online pharmacies - based on the online pharmacies in China. J Med Mark. 2013;13(2):93–101.
54.
go back to reference Rosin AJ, Sonnenblick M. Autonomy and paternalism in geriatric medicine. The Jewish ethical approach to issues of feeding terminally ill consumers, and to cardiopulmonary resuscitation. J Med Ethics. 1998;24(1):44.PubMedPubMedCentral Rosin AJ, Sonnenblick M. Autonomy and paternalism in geriatric medicine. The Jewish ethical approach to issues of feeding terminally ill consumers, and to cardiopulmonary resuscitation. J Med Ethics. 1998;24(1):44.PubMedPubMedCentral
Metadata
Title
Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews
Authors
Jingfang Liu
Yingyi Zhou
Xiaoyan Jiang
Wei Zhang
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2020
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-020-01214-x

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