ISSN

2321-5763 (Online)
0976-495X (Print)


Author(s): Manika Jain, Jhanvi Khurana

Email(s): manika80@gmail.com , jhanvikhurana17@gmail.com

DOI: 10.52711/2321-5763.2022.00003   

Address: Manika Jain1, Jhanvi Khurana2
1Assistant Professor, Department of Commerce, Atma Ram Sanatan Dharma, New Delhi
2Student, Department of Commerce, Atma Ram Sanatan Dharma, New Delhi
*Corresponding Author

Published In:   Volume - 13,      Issue - 1,     Year - 2022


ABSTRACT:
The rapid advancement in the field of artificial intelligence (AI) has offered tremendous opportunities to different organizations engaged in serving customers. AI provides a platter of add-ons that promise to enhance relationships with the stakeholders, to seamlessly upgrade and update marketing initiatives and to positively impact the consumer buying behaviour process. COVID-19 pandemic emerged as an immitigable disaster for many businesses; however, at the same time, online platforms gave way for a new edition of digital marketing. Thanks to the e-commerce websites consumers are now purchasing anything and everything online be it groceries or vegetables or clothes or washing machines. The need to physically visit a store to shop appeared to have weakened against the compulsion to shop from home during pandemic. However, studies have shown that given a chance, consumers will not trade-off traditional mode of shopping for online shopping, at least not completely. There still exists a desire to connect- physically, socially and emotionally- to buying process. In order impart personal touch to online shopping experience of the consumers a new AI enabled application, ‘Chatbot’, was developed. Chatbot assumes a human persona to enhance consumers’ online shopping experience, modify (amplify) their expectations related to product and assist them in making an informed purchase decision. Chatbots are a novel and trending artificial intelligence (AI) innovation. Through this study we attempt to investigate the impact of AI enabled Chatbots on pre-purchase, purchase and post-purchase behaviours of consumers in Delhi NCR region. The study proposes to investigate the relationship between consumers’ interface with AI enable chatbots and the impact thereof on pre-purchase, purchase and post-purchase behaviours. The implications of the study to marketers have also been suggested. The research employs correlation and regression techniques to test the research hypothesis on the Page primary data collected using a structured and undisguised questionnaire. The sample size is projected to be 200 respondents.


Cite this article:
Manika Jain, Jhanvi Khurana. An Investigation into the relationship between AI enabled Chabot Interface and Online buying behavior of Consumers in Delhi NCR Region. Asian Journal of Management. 2022;13(1):11-6. doi: 10.52711/2321-5763.2022.00003

Cite(Electronic):
Manika Jain, Jhanvi Khurana. An Investigation into the relationship between AI enabled Chabot Interface and Online buying behavior of Consumers in Delhi NCR Region. Asian Journal of Management. 2022;13(1):11-6. doi: 10.52711/2321-5763.2022.00003   Available on: https://ajmjournal.com/AbstractView.aspx?PID=2022-13-1-3


REFERENCES:
1.    AbuShawar, B. and Atwell, E., (2015). ALICE chatbot:  Trials and Outputs. Computaciony Sistemas, 19(4), pp.625-632.
2.    Belleghem,S.(2016).How the digital world is shaping the modern consumer. Strategic Direction, 32(5),1–2.https://doi.org/10.1108/sd-02-2016-0026
3.    Brandtzaeg, P.B. and Folstad,A., (2017). Why people use chatbots. s.l., Springer, pp. 377-392
4.    Charlton,G.(2013).Consumers prefer live chat for customer service :stats.
5.    Goasduff, L. (2019, July 31). Chatbots Will Appeal to Modern Workers –
6.    Gartner. Copyright(C)2021 Gartner, Inc. All Rights Reserved. https://www.gartner.com/smarterwithgartner/chatbots-will-appeal-to-modern-workers/
7.    Great Learning Team. (2020, December 22). Basics of building an Artificial Intelligence Chatbot. Great Learning Blog: Free Resources What Matters to Shape Your Career! https://www.mygreatlearning.com/blog/basics-of-building-an-artificial-intelligence-chatbot/
8.    Häubl, G., & Trifts,V.(2000). Consumer Decision Making in Online Shopping Environments: The Effects  of Interactive Decision Aids. Marketing Science, 19(1), 4–21.https://doi.org/10.1287/mksc.19.1.4.15178
9.    Hernández, Blanca & Jiménez-Martínez, Julio & Martín, M. (2011). Age, gender and income:Do they really moderate online shopping behaviour? Online Information Review.35.113-133.10.1108/14684521111113614.
10.    Investopedia(https://www.investopedia.com/terms/c/chatbot.asp)
11.    Jog, Yatin and Dhote, Tripti and Gavade, Nutan& Shrivastava, Gesu. (2015). Effectiveness of Digital Marketing in Education: An Insight into Consumer Perceptions. Indian Journal of Science &Technology. 8.200-205.10.17485/ijst/2015/v8iS4/69267.
12.    Joseph Weizenbaum’s ELIZA: Communications of the ACM, January 1966. (1966). JosephWiesenbaum.https://www.csee.umbc.edu/courses/331/papers/eliza.html
13.    Kaczorowska -Spychalska, Dominika. (2019). How chatbots influence marketing. Management.23.251-270.10.2478/manment-2019
14.    Kannan, P. K., Li, H. “A.”. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. https://doi.org/10.1016/j.ijresmar.2016.11.006
15.    Kowalska, M. (2012). The Internet Impact on Market Behavior of Young Consumers. Journal of international studies, 5(1), 101–106. https://doi.org/10.14254/2071-8330.2012/5-1/13
16.    Khanna, Anirudh and Pandey, Bishwajeet and Vashishta, Kushagra and Kalia, Kartik and Bhale, Pradeep kumar and Das, Teerath.(2015). A Study of Today's A.I. through Chatbots and Rediscovery of Machine Intelligence. International Journal of u- and e-Service, Science andTechnology.8.277-284.10.14257/ijunesst.2015.8.7.28.
17.    Kumavat,P.P.(2012). ABookReviewOnPrinciplesOfMarketingManagement14ThEditionBy Philip Kotler and Gary Armstrong. International Journal of Scientific Research, 1(4), 83–85.https://doi.org/10.15373/22778179/sep2012/29
18.    Maddox, M.(2018). Your customers are changing, your customer communications should too
19.    Mhatre, N., Motani, K., Shah, M., & Mali, S. (2016). Donna Interactive Chat-bot acting as a Personal Assistant. International Journal of Computer Applications, 140(10), 6–11.https://doi.org/10.5120/ijca2016909460
20.    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing,49(4),41–50.https://doi.org/10.1177/002224298504900403
21.    Royle,J., and Laing, A.(2014).The digital marketing  skills gap: Developing a Digital Marketer Model for the communication industries. International Journal of Information Management, 34(2), 65–73. https://doi.org/10.1016/j.ijinfomgt.2013.11.008
22.    Schrier, C. (2018, November 27). How Demographics Affect AI Chatbot Usage.
23.    SEITZ, W.D.(1972). Consumer Education as the Means to Attain Efficient Market Performance. Journal of Consumer Affairs, 6(2), 198–209. https://doi.org/10.1111/j.1745-6606.1972.tb00512.x
24.    Shawar, Bayan & Atwell, Eric. (2007). Chatbots: Are they Really Useful? LDV Forum. 22.29-49.
25.    Sienkiewicz, A. (2021, January 29). 11 Chatbot Statistics and Trends You Need to Know in2021.
26.    SmartAction.https://www.smartaction.ai/blog/demographics-affect-chatbot-adoption-use/
27.    Tidio. https://www.tidio.com/blog/chatbot-statistics/-0015.
28.    Tzani, Paraskevi.(2019). The application of chatbots in Digital marketing communications and their effect on consumer behavior.10.13140/RG.2.2.13566.74563.
29.    Voelker, R.(2001). Bridging the Digital Divide. JAMA, 285(2), 156.https://doi.org/10.1001/jama.285.2.156-jwm00011-4-1
30.    Willett, SandraL."Preliminary Statement, "A handout prepared for the Panelon Consult Education of the 1974 meeting of the Education Commission of the States, June21,1974.
31.    Xiao,B., and Benbasat, I.(2007).Consumer decision support systems for e-commerce change new

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