The ubiquity of social media platforms facilitates free flow of online chatter related to customer experience. Twitter is a prominent social media platform for sharing experiences, and e-retail firms are rapidly emerging as the preferred shopping destination. This study explores customers’ online shopping experience tweets. Customers tweet about their online shopping experience based on moments of truth shaped by encounters across different touchpoints. We aggregate 25,173 such tweets related to six e-retailers tweeted over a 5-year period. Grounded on agency theory, we extract the topics underlying these customer experience tweets using unsupervised latent Dirichlet allocation. The output reveals five topics which manifest into customer experience tweets related to online shopping—ordering, customer service interaction, entertainment, service outcome failure, and service process failure. Topics extracted are validated through inter-rater agreement with human experts. The study, thus, derives topics from tweets about e-retail customer experience and thereby facilitates prioritization of decision-making pertaining to critical service encounter touchpoints.
AlaparthiS.MishraM. (2021). BERT: A sentiment analysis odyssey. Journal of Marketing Analytics, 9(2), 118-126.
2.
AppelG.GrewalL.HadiR.StephenA. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79-95.
3.
Arruda FilhoE. J. M.BarcelosA. d. A. (2020). Negative online word-of-mouth: Consumers’ retaliation in the digital world. Journal of Global Marketing, 34, 19-37. https://doi.org/10.1080/08911762.2020.1775919
4.
BelkR. W. (2013). Extended self in a digital world. Journal of Consumer Research, 40(3), 477-500.
5.
BendicksonJ.MuldoonJ.LiguoriE. W.DavisP. E. (2016). Agency theory: Background and epistemology. Journal of Management History, 22(4), 437-449.
6.
BergerJ. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586-607.
7.
BergerJ. A.BuechelE. (2012). Facebook therapy? Why do people share self-relevant content online?SSRN Electronic Journal. Available at SSRN:http://doi.org/10.2139/ssrn.2013148
8.
BerryL. L.CarboneL. P.HaeckelS. H. (2002). Managing the total customer experience. MIT Sloan Management Review, 43(3), 85-89.
9.
BirdS.KleinE.LoperE. (2009). Natural language processing with Python: Analyzing text with the natural language toolkit. O’Reilly Media, Inc. Retrieved on 16 August 2020 fromhttps://www.nltk.org/book/
10.
BleiD. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.
11.
BleiD. M.NgA. Y.JordanM. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3(5), 993-1022.
12.
BoltonS. C.HoulihanM. (2005). The (mis)representation of customer service. Work, Employment and Society, 19(4), 685-703.
13.
BradlowE. T.GangwarM.KopalleP.VoletiS. (2017). The role of big data and predictive analytics in retailing. Journal of Retailing, 93(1), 79-95.
14.
BurtonN.SnyderK.McKelveyS. (2018). The evolution of media reporting of ambush marketing. Sport Marketing Quarterly, 27(1), 18-30.
15.
BüschkenJ.AllenbyG. M. (2016). Sentence-based text analysis for customer reviews. Marketing Science, 35(6), 953-975.
16.
ChanH.WanL. C. (2008). Consumer responses to service failures: A resource preference model of cultural influences. Journal of International Marketing, 16(1), 72-97.
17.
ChildersT. L.CarrC. L.PeckJ.CarsonS. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77, 511-535.
18.
CrainS. P.ZhouK.YangS. H.ZhaH. (2012). Dimensionality reduction and topic modeling: From latent semantic indexing to latent Dirichlet allocation and beyond. In AggarwalC.ZhaiC. (Eds.), Mining Text Data: Springer.
19.
CroninJ. J.JrBradyM. K.HultG. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.
20.
Da SilvaN. F. F.HruschkaE. R.HruschkaE. R. (2014). Tweet sentiment analysis with classifier ensembles. Decision Support Systems, 66, 170-179.
EisenhardtK. M. (1989). Agency theory: An assessment and review. Academy of Management Review, 14(1), 57-74.
26.
ElliottM. T.SpeckP. S. (2005). Factors that affect attitude toward a retail web site. Journal of Marketing Theory and Practice, 13(1), 40-51.
27.
FangA.MacdonaldC.OunisI.HabelP. (2016). Examining the coherence of the top ranked tweet topics. [Paper presentation]. Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval (pp. 825-828), Pisa, Italy, 17–21 July 2016.
28.
FleissJ. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378-382.
29.
FoglieniF.HolmlidS. (2017). Determining service value: Exploring the link between value creation and service evaluation. Service Science, 9(1), 74-90.
30.
FroehleC. M. (2006). Service personnel, technology, and their interaction in influencing customer satisfaction. Decision Sciences, 37(1), 5-38.
31.
GaneshJ.ReynoldsK. E.LuckettM.PomirleanuN. (2010). Online shopper motivations, and e-store attributes: An examination of online patronage behavior and shopper typologies. Journal of Retailing, 86(1), 106-115.
Grabner-KraeuterS (2002). The role of consumers’ trust in online-shopping. Journal of Business Ethics, 39(1-2), 43-50.
34.
GreenbergJ. (1990). Organizational justice: Yesterday, today, and tomorrow. Journal of Management, 16(2), 399-432.
35.
GrewalD.LevyM.KumarV. (2009). Customer experience management in retailing: An organizing framework. Journal of Retailing, 85(1), 1-14.
36.
GrewalD.RoggeveenA. L. (2020). Understanding retail experiences and customer journey management. Journal of Retailing, 96(1), 3-8.
37.
GrewalD.RoggeveenA. L.NordfältJ. (2017). The future of retailing. Journal of Retailing, 93(1), 1-6.
38.
GuoY.BarnesS. J.JiaQ. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59, 467-483.
39.
GuptaS.ZeithamlV. (2006). Customer metrics and their impact on financial performance. Marketing Science, 25(6), 718-739.
40.
HellerJ.ChylinskiM.de RuyterK.MahrD.KeelingD. I. (2019). Touching the untouchable: Exploring multi-sensory augmented reality in the context of online retailing. Journal of Retailing, 95(4), 219-234.
41.
HerhausenD.LudwigS.GrewalD.WulfJ.SchoegelM. (2019). Detecting, preventing, and mitigating online firestorms in brand communities. Journal of Marketing, 83(3), 1-21.
42.
HeJ.WeerkampW.LarsonM.De RijkeM. (2009). An effective coherence measure to determine topical consistency in user-generated content. International Journal on Document Analysis and Recognition (IJDAR), 12(3), 185-203.
43.
HirschmanE. C.HolbrookM. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.
44.
HoffmanD. L.NovakT. P. (2015). Emergent experience and the connected consumer in the smart home assemblage and the Internet of Things. SSRN Electronic Journal. Available at SSRN:http://doi.org/10.2139/ssrn.2648786
45.
IbrahimN. F.WangX.BourneH. (2017). Exploring the effect of user engagement in online brand communities: Evidence from Twitter. Computers in Human Behavior, 72, 321-338.
46.
ImhofG.KlausP. (2020). The dawn of traditional CX metrics? Examining satisfaction, EXQ, and WAR. International Journal of Market Research, 62(6), 673-688.
47.
InsleyV.NunanD. (2014). Gamification and the online retail experience. International Journal of Retail & Distribution Management, 42(5), 340-351.
48.
KahnB. E. (2017). Using visual design to improve customer perceptions of online assortments. Journal of Retailing, 93(1), 29-42.
49.
KannanP. K.LiH. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22-45.
50.
KlausP. P. (2020). Customer experience, not brands will be on the iron throne. International Journal of Market Research, 62(1), 6-8.
51.
KlausP. P.MaklanS. (2013). Towards a better measure of customer experience. International Journal of Market Research, 55(2), 227-246.
52.
KluyverT.Ragan-KelleyB.PérezF.GrangerB. E.BussonnierM.FredericJ.KelleyK.HamrickJ. B.GroutJ.CorlayS.IvanovP.AvilaD.AbdallaS.WillingC.Jupyter Development Team. (2016). Jupyter Notebooks - a publishing format for reproducible computational workflows In ELPUB (pp. 87-90).
53.
KozinetsR. V. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of Marketing Research, 39(1), 61-72.
LambertonC.StephenA. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of Marketing, 80(6), 146-172.
56.
LandisJ. R.KochG. G. (1977). An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics, 33(2), 363-374.
57.
LemonK. N.VerhoefP. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.
58.
LiuF.LimE. T. K.LiH.TanC.-W.CyrD. (2020). Disentangling utilitarian and hedonic consumption behavior in online shopping: An expectation disconfirmation perspective. Information & Management, 57(3), 103199.
59.
MaklanS.KlausP. (2011). Customer experience: Are we measuring the right things?. International Journal of Market Research, 53(6), 771-772.
60.
McquarrieE. F.MillerJ.PhillipsB. J. (2013). The megaphone effect: Taste and audience in fashion blogging. Journal of Consumer Research, 40(1), 136-158.
61.
MeyerC.SchwagerA. (2007). Understanding customer experience. Harvard Business Review, 85(2), 116-157.
62.
MichelS.BowenD.JohnstonR. (2009). Why service recovery fails. Journal of Service Management, 20(3), 253-273.
63.
MustakM.SalminenJ.PléL.WirtzJ. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404.
64.
NaamanM.BoaseJ.LaiC-H. (2010). Is it really about me? Message content in social awareness streams. In Proceedings of the 2010 ACM conference on computer supported cooperative work (pp. 189-192), Savannah Georgia, USA, 6–10 February 2010.
65.
PalmerA. (2010). Customer experience management: A critical review of an emerging idea. Journal of Services Marketing, 24(3), 196-208.
66.
PandaS.PandeyS. C. (2017). Binge watching and college students: Motivations and outcomes. Young Consumers, 18(4), 425-438.
67.
ParasuramanA.ZeithamlV. A.MalhotraA. (2005). E-S-QUAL A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(10), 1-21.
68.
PodsakoffP. M.MacKenzieS. B.LeeJ. Y.PodsakoffN. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of applied psychology, 88(5), 879-903.
69.
PrahaladC. K.RamaswamyV. (2003). The new frontier of experience innovation. MIT Sloan Management Review, 44(4), 12-18.
70.
PrahaladC. K.RamaswamyV. (2004). Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5-14.
71.
PuccinelliN. M.GoodsteinR. C.GrewalD.PriceR.RaghubirP.StewartD. (2009). Customer experience management in retailing: Understanding the buying process. Journal of Retailing, 85(1), 15-30.
72.
RamaswamyV. (2011). It’s about human experiences and beyond, to co-creation. Industrial Marketing Management, 40(2), 195-196.
73.
RehurekR.SojkaP. (2010). Software framework for topic modelling with large corpora. In Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks,Valletta, Malta, 22 May 2010. ELRA.
74.
ReisenbichlerM.ReuttererT. (2019). Topic modeling in marketing: Recent advances and research opportunities. Journal of Business Economics, 89(3), 327-356.
75.
RiméB. (2009). Emotion elicits the social sharing of emotion: Theory and empirical review. Emotion Review, 1(1), 60-85.
76.
RiméB.BouchatP.PaquotL.GiglioL. (2020). Intrapersonal, interpersonal, and social outcomes of the social sharing of emotion. Current Opinion in Psychology, 31, 127-134.
77.
RitsonM.ElliottR. (1999). The social uses of advertising: An ethnographic study of adolescent advertising audiences. Journal of Consumer Research, 26(3), 260-277.
78.
RoggeveenA. L.GrewalD. (2016). Engaging customers: The wheel of social media engagement. Journal of Consumer Marketing, 33(2). (editorial).
79.
RoggeveenA. L.GrewalD.SchweigerE. B. (2020). The DAST framework for retail atmospherics: The impact of in- and out-of-store retail journey touchpoints on the customer experience. Journal of Retailing, 96(1), 128-137.
80.
RStudio Team (2020). RStudio: Integrated Development for R. RStudio, Inc.. Retrieved on 15 July 2020 fromhttps://www.rstudio.com/
81.
SarkarD. (2019). Text analytics with Python: A practitioner’s guide to natural language processing: Apress.
82.
ShawC.IvensJ. (2002). Building great customer experiences: Palgrave Macmillan.
83.
ShethJ. N.SisodiaR. S.SharmaA. (2000). The antecedents and consequences of customer-centric marketing. Journal of the Academy of Marketing Science, 28(1), 55-66.
84.
ShethJ. N.SolomonM. R. (2014). Extending the extended self in a digital world. Journal of Marketing Theory and Practice, 22(2), 123-132.
85.
SivarajahU.KamalM. M.IraniZ.WeerakkodyV. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, 70, 263-286.
86.
SmithA. K.BoltonR. N.WagnerJ. (1999). A model of customer satisfaction with service encounters involving failure and recovery. Journal of Marketing Research, 36(3), 356-372.
SundaramD. S.MitraK.WebsterC. (1998). Word-of-mouth communications: A motivational analysis. Advances in Consumer Research, 25, 527-531.
89.
TellisG. J.JohnsonJ. (2007). The value of quality. Marketing Science, 26(6), 758-773.
90.
TirunillaiS.TellisG. J. (2012). Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Science, 31(2), 198-215.
91.
TirunillaiS.TellisG. J. (2014). Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent Dirichlet allocation. Journal of Marketing Research, 51(4), 463-479.
92.
TrevinalA. M.StengerT. (2014). Toward a conceptualization of the online shopping experience. Journal of Retailing and Consumer Services, 21(3), 314-326.
VargoS. L.LuschR. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1-17.
97.
VerhoefP. C.LemonK. N.ParasuramanA.RoggeveenA.TsirosM.SchlesingerL. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31-41.
98.
WayneM. L. (2018). Netflix, Amazon, and branded television content in subscription video on-demand portals. MediaMedia, Culture & Society, 40(5), 725-741.
99.
WedelM.KannanP. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121.
100.
WetzerI. M.ZeelenbergM.PietersR. (2007). “Never eat in that restaurant, I did!”: Exploring why people engage in negative word-of-mouth communication. Psychology and Marketing, 24(8), 661-680.
101.
WilcoxK.StephenA. T. (2013). Are close friends the enemy? Online social networks, self-esteem, and self-control. Journal of Consumer Research, 40(1), 90-103.
102.
YadavM. S.PavlouP. A. (2014). Marketing in computer-mediated environments: Research synthesis and new directions. Journal of Marketing, 78(1), 20-40.
103.
ZeithamlV. A.ParasuramanA.MalhotraA. (2000). E-service quality: Definition, dimensions and conceptual model. Working Paper, Marketing Science Institute.
