Robots in Retail Marketing: A Timely Opportunity

Authors

  • Praveen Kumar Donepudi UST-Global, Inc.

DOI:

https://doi.org/10.18034/gdeb.v9i2.527

Keywords:

Automation, artificial intelligence, robots, retail marketing

Abstract

Change is indeed inevitable. In a world full of technological advancements there has been a change in retail marketing on how they conduct business. This has prompted a fast pace of automation and artificial intelligence (AI) as strategies that can be used to propel and reshape most business models. Machine intelligence is now more powerful, and it is changing the lives of people everywhere around the world.  One such machine intelligence is the robot, which is almost being implemented on a daily basis to form part of the retail marketing solution.  Hence, it is important to critically analyze the significance of robots in retail stores and how the same can be used to change the current status quo into a new business model. In answering the research questions, this research will adopt both secondary and primary data methods that will ensure that robust information is collected to meet the objectives of the study. Analysis of data revealed that change is inevitable in the retail industry, and it ought to be embraced in phases. The conclusion also revealed that robots have had both positive and negative impacts on the local stores. The idea of robots taking over various jobs in the industries may not be a good idea, but they have proved to be efficient and reliable.

Downloads

Download data is not yet available.

Author Biography

  • Praveen Kumar Donepudi, UST-Global, Inc.

    Enterprise Architect, Information Technology, UST-Global, Inc., Ohio, USA

References

Ahmed, A. A. A., & Asadullah, A. (2020). Artificial Intelligence and Machine Learning in Waste Management and Recycling. Engineering International, 8(1), 43-52. https://doi.org/10.18034/ei.v8i1.498 DOI: https://doi.org/10.18034/ei.v8i1.498

Azad, M. R., Khan, W., & Ahmed, A. A. A. (2011). HR Practices in Banking Sector on Perceived Employee Performance: A Case of Bangladesh. Eastern University Journal, 3(3), 30–39. https://doi.org/10.5281/zenodo.4043334

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003. DOI: https://doi.org/10.1287/mnsc.35.8.982

Dirican, C. (2015). The impacts of robotics, artificial intelligence on business, and economics. Procedia-Social and Behavioral Sciences, 195, 564-573. DOI: https://doi.org/10.1016/j.sbspro.2015.06.134

Donepudi, P. K. (2018). AI and Machine Learning in Retail Pharmacy: Systematic Review of Related Literature. ABC Journal of Advanced Research, 7(2), 109-112. https://doi.org/10.18034/abcjar.v7i2.514 DOI: https://doi.org/10.18034/abcjar.v7i2.514

Donepudi, P. K. (2019). Automation and Machine Learning in Transforming the Financial Industry. Asian Business Review, 9(3), 129-138. https://doi.org/10.18034/abr.v9i3.494 DOI: https://doi.org/10.18034/abr.v9i3.494

Donepudi, P. K. (2020). Crowdsourced Software Testing: A Timely Opportunity. Engineering International, 8(1), 25-30. https://doi.org/10.18034/ei.v8i1.491 DOI: https://doi.org/10.18034/ei.v8i1.491

Dupree, J. (2002). Techno‐Ready Marketing: How and Why Your Customers Adopt Technology. Journal of Consumer Marketing, Vol. 19 No. 4, pp. 359-361. https://doi.org/10.1108/jcm.2002.19.4.359.1 DOI: https://doi.org/10.1108/jcm.2002.19.4.359.1

Engelberger, J. F. (2012). Robotics in practice: management and applications of industrial robots. Springer Science & Business Media. https://www.springer.com/gp/book/9780850386691

Heller, F. K. (2017). Technological innovation applied to walmart and tesco's supply chain (Doctoral dissertation), Universidade Nova de Lisboa. http://hdl.handle.net/10362/28327

Kaplan, A. (2020). Retailing and the Ethical Challenges and Dilemmas Behind Artificial Intelligence. Pantano, E. (Ed.) Retail Futures, Emerald Publishing Limited, pp. 181-191. https://doi.org/10.1108/978-1-83867-663-620201020 DOI: https://doi.org/10.1108/978-1-83867-663-620201020

Keeling, K., Keeling, D., & McGoldrick, P. (2013). Retail relationships in a digital age. Journal of Business research, 66(7), 847-855. DOI: https://doi.org/10.1016/j.jbusres.2011.06.010

Lambert, N. (2018). Designing companions, designing tools: social robots, developers, and the elderly in Japan. http://hdl.handle.net/1866/21239

Lantos, G. P. (2014), "Marketing to Millennials: Reach the Largest and Most Influential Generation of Consumers Ever", Journal of Consumer Marketing, Vol. 31 No. 5, pp. 401-403. https://doi.org/10.1108/JCM-03-2014-0909 DOI: https://doi.org/10.1108/JCM-03-2014-0909

Mathur, P. (2019). Key Technological Advancements in Retail. In Machine Learning Applications Using Python (pp. 159-181). Apress, Berkeley, CA. DOI: https://doi.org/10.1007/978-1-4842-3787-8_8

Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer research, 25(2), 123-143. DOI: https://doi.org/10.1086/209531

Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001 DOI: https://doi.org/10.1177/109467050024001

Pires P.J., da Costa Filho B.A., da Cunha J.C. (2011). Technology Readiness Index (TRI) Factors as Differentiating Elements between Users and Non Users of Internet Banking, and as Antecedents of the Technology Acceptance Model (TAM). In: Cruz-Cunha M.M., Varajão J., Powell P., Martinho R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24355-4_23 DOI: https://doi.org/10.1007/978-3-642-24355-4_23

Pouliot, R. C., Katsanis, C. J., & Katsanis, A. (2018). Horizon 2020 transcended: the redesign of the AEC organization. Engineering Project Organization Conference. https://espace2.etsmtl.ca/id/eprint/17964

Underwood, C. (2020). Robots in Retail-Examples of Real Industry Applications. EMERJ.

Vincent, J. (2017). Walmart is using shelf-scanning robots to audit its stores. The Verge.

Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V.N., Paluch, S. and Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907-931. https://doi.org/10.1108/JOSM-04-2018-0119 DOI: https://doi.org/10.1108/JOSM-04-2018-0119

--0--

Downloads

Published

2020-11-15

Issue

Vol. 9 No. 2 (2020): July - December Issue

Section

Articles

License

The CC BY-NC 4.0 license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge & be non-commercial, they don’t have to license their derivative works on the same terms.
|| View License Deed ||
|| View Legal Code ||
 
Publishing paper with Global Disclosure in Economics and Business means that the author or authors retain the copyright in the paper.
This journal is granted an exclusive noncommercial reuse license by the author(s), but the author(s) are able to put the paper onto a website, distribute it to colleagues, give it to students, use it in your thesis, etc, so long as the use is not directed at commercial advantage or toward private monetary gain.
The author(s) can reuse the figures and tables and other information contained in their paper published by Global Disclosure in Economics and Business in future papers or work without having to ask anyone for permission, provided that the figures, tables or other information that is included in the new paper or work properly references the published paper as the source of the figures, tables or other information, and the new paper or work is not direct at private monetary gain or commercial advantage.

How to Cite

Donepudi, P. K. . (2020). Robots in Retail Marketing: A Timely Opportunity. Global Disclosure of Economics and Business, 9(2), 97-106. https://doi.org/10.18034/gdeb.v9i2.527
Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1-10 of 29

You may also start an advanced similarity search for this article.