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Reseach Article

Artificial intelligence (AI) General Adoption Factors: A Systematic Review of the Literature

by Debashish Roy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 14
Year of Publication: 2021
Authors: Debashish Roy
10.5120/ijca2021921469

Debashish Roy . Artificial intelligence (AI) General Adoption Factors: A Systematic Review of the Literature. International Journal of Computer Applications. 183, 14 ( Jul 2021), 38-49. DOI=10.5120/ijca2021921469

@article{ 10.5120/ijca2021921469,
author = { Debashish Roy },
title = { Artificial intelligence (AI) General Adoption Factors: A Systematic Review of the Literature },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2021 },
volume = { 183 },
number = { 14 },
month = { Jul },
year = { 2021 },
issn = { 0975-8887 },
pages = { 38-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number14/31998-2021921469/ },
doi = { 10.5120/ijca2021921469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:49.964240+05:30
%A Debashish Roy
%T Artificial intelligence (AI) General Adoption Factors: A Systematic Review of the Literature
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 14
%P 38-49
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

AI is rapidly changing the overall technology and business world by introducing basic automation tools to game-changing solutions like a driverless car, Amazon Go etc. Tech companies are pioneers in adopting AI. Non-tech companies are also racing for AI adoption. Sometimes companies are facing wait or adopt syndrome because of a lack of information on the AI adoption status and where their peers are heading to. Also, companies that are planning or recently started their AI journey without an effective AI adoption strategy are facing significant roadblocks. There is minimal research done on finding AI adoption factors& strategy in recent years. The purpose of the study is to conduct a systematicliterature review for identifying important general AI adoption factors that can help the Technologyleaders to understand the current AI ecosystem & build effective AI adoption strategies for their organizations. DEFINITION OF TERMS ARTIFICIAL INTELLIGENCE Artificial intelligence (AI), is also sometimes known as machine intelligence. It is a form of intelligence that is demonstrated by machines. It is in contrast to the natural intelligence that is portrayed by humanbeings and some animals. In the area of computer science, AI research refers to the study that is related to intelligent agents. They are the devices that can perceive their environmental setting and further take action to maximize the chance of accomplishing the intended goals. In other words, AI is the technology where a machine can mimic the "cognitive" functions that are demonstrated by human beings, like problem-solving and learning. TECHNOLOGY ADOPTION It is a process thatbegins with the awareness of a specifictype of technology and ultimately progresses through diverse stages. It ends when technology is either adopted or rejected. Strategy: It refers to a plan or a method selected to bring about an intended future,like accomplishing a goal or finding a solution to anissue.

References
  1. Ghanbari, H., Vartiainen, T., &Siponen, M. (2018). Omission of Quality Software Development Practices: A Systematic Literature Review. ACM Computing Surveys, 51(2), 38:1-27. https://doi.org/10.1145/3177746
  2. Okoli, C., Schabram, K. (2010). "A Guide to Conducting a Systematic Literature Review of Information Systems Research," . Sprouts: Working Papers on Information Systems, 10(26). http://sprouts.aisnet.org/10-26
  3. Paez, A. (2017). Grey literature: An important resource in systematic reviews. Journal of Evidence-Based Medicine. https://doi.org/10.1111/jebm.12265
  4. Malheiros, V., Hohn, E., Pinho, R., Mendonca, M., & Maldonado, J. C. (2007). A Visual Text Mining approach for Systematic Reviews. First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 245–254. https://doi.org/10.1109/ESEM.2007.21
  5. Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington, MA: Lexington Books. Journal of Management Information Systems, 15(4), 187–214.
  6. Aboelmaged, M. G. 2014. "Predicting E-Readiness at Firm-Level: An Analysis of Technological, Organizational and Environmental (TOE) Effects on E-Maintenance Readiness in
  7. Baker, J. (2012). The Technology–Organization–Environment Framework. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (Eds.), Information Systems Theory (Vol. 28, pp. 231–245). Springer New York. https://doi.org/10.1007/978-1-4419-6108-2_12
  8. Rahnama, H. (2017). 3 Ways to Create a Strategic Framework for AI Adoption. Retrieved January 3, 2019, from https://www.informationweek.com/big-data/3-ways-to-create-a-strategic-framework-for-ai-adoption/a/d-id/1329697
  9. Evans, N. D. (2018, April 17). Navigating artificial intelligence strategy in your industry. Retrieved January 4, 2019, from https://www.cio.com/article/3269030/artificial-intelligence/navigating-ai-strategy-in-your-industry.html
  10. New, J. (2018). Why the United States Needs a National Artificial Intelligence Strategy and What it Should Look Like. Center for Data Innovation, 65.
  11. ATKearney. (2018). How and When to Apply AI: The Case for Smart Adoption. Retrieved January 4, 2019, from http://www.atkearney.com/digital-transformation/article?/a/how-and-when-to-apply-ai-the-case-for-smart-adoption
  12. Davis, J. (2018). Adopting a Strategy to Prepare for AI - ServiceNow Workflow. Retrieved January 4, 2019, from https://www.servicenow.com/workflow/ai-strategy.html
  13. Reddy, R. (2017, September 20). Enterprise AI: The Adoption Strategy & Practical Solutions. Retrieved January 4, 2019, from https://acuvate.com/blog/enterprise-ai-adoption-strategy-practical-solutions/
  14. Newman, M. (2018, February 1). Make it happen - Strategies for adopting AI technology. Retrieved January 4, 2019, from https://inform.tmforum.org/data-analytics-and-ai/2018/02/make-happen-strategies-adopting-ai-technology/
  15. RANSBOTHAM, S., GERBERT, P., REEVES, M., DAVID, K., & SPIRA, M. (2018). Artificial Intelligence in Business Gets Real. Retrieved January 4, 2019, from https://sloanreview.mit.edu/projects/artificial-intelligence-in-business-gets-real/
  16. Bughin, J. (2018). Wait-and-See Could Be a Costly AI Strategy. Retrieved January 5, 2019, from https://sloanreview.mit.edu/article/wait-and-see-could-be-a-costly-ai-strategy/
  17. Mahidhar, V., & Davenport, T. H. (2018, December 6). Why Companies That Wait to Adopt AI May Never Catch Up. Harvard Business Review. Retrieved from https://hbr.org/2018/12/why-companies-that-wait-to-adopt-ai-may-never-catch-up
  18. Carbonell, J. R. (1970). AI in CAI: An artificial-intelligence approach to computer-assisted instruction. IEEE transactions on man-machine systems, 11(4), 190-202.
  19. Harhoff, D., Heumann, S., Jentzsch, N., & Lorenz, P. (2018). Outline for a German Strategy for Artificial Intelligence.
  20. Barnes, E. (2016). Advanced Artificial Intelligence: Policy and Strategy.
  21. Ivanov, S. H., & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies–a cost-benefit analysis. Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis.
  22. Rao, T. (2017). Factors critical to the organisational adoption of artificial intelligence: a South African perspective (Doctoral dissertation, University of Pretoria).
  23. O'reilly survey highlights artificial intelligence skills gap. (2018). Professional Services Close - Up, Retrieved from https://search-proquest-com.spjain.idm.oclc.org/docview/2024376574?accountid=162730
  24. Srivastava, S. K. (2018). ARTIFICIAL INTELLIGENCE: WAY FORWARD FOR INDIA.Journal of Information Systems and Technology Management : JISTEM, 15, 1-23. doi:http://dx.doi.org.spjain.idm.oclc.org/10.4301/S1807-1775201815004
  25. Kolbjørnsrud, V., Amico, R., & Thomas, R. J. (2017). Partnering with AI: How organizations can win over skeptical managers. Strategy & Leadership, 45(1), 37-43. Retrieved from https://search-proquest-com.spjain.idm.oclc.org/docview/1873678530?accountid=162730
  26. Davenport, T. H., &Mahidhar, V. (2018). What's your cognitive strategy? MIT Sloan Management Review, 59(4), 19-23. Retrieved from https://search-proquest-com.spjain.idm.oclc.org/docview/2057219779?accountid=162730
  27. Westerman, G. (2018). Your company doesn't need a digital strategy. MIT Sloan Management Review, 59(3), 1-5. Retrieved from https://search-proquest-com.spjain.idm.oclc.org/docview/2023985478?accountid=162730
  28. Benes, R. (2018). How Are Marketers Successfully Adopting Artificial Intelligence - eMarketer Trends, Forecasts & Statistics. Retrieved February 10, 2019, from https://www.emarketer.com/content/successful-ai-adoption-requires-clear-strategies
  29. Ghobakhloo, M., Hong, T. S., Sabouri, M. S., & Zulkifli, N. (2012). Strategies for Successful Information Technology Adoption in Small and Medium-sized Enterprises. Information, 3(1), 36–67. https://doi.org/10.3390/info3010036
  30. Paredes, D. (2017). Despite the hype, AI adoption still in early stages. Retrieved November 27, 2018, from https://www.cio.co.nz/article/628668/despite-hype-ai-adoption-still-early-stages/
  31. Balasubramaniam, S. (2018). Artificial Intelligence. DAWN: Journal for Contemporary Research in Management, 5(1), 12–18.
  32. Elliot, B., & Andrews, W. (2017). A Framework for Applying AI in the Enterprise. Gartner, 38.
  33. Anshori, M. I., Salim, U., &Armanu. (2013). Application of Technology Acceptance Model to Wi-Fi User at Economics and Business Faculty of Brawijaya University (Study on Stratum-1 Students). European Journal of Business and Management, 5(17), 57-65–65.
  34. Andrews, W. (2018). Craft an Artificial Intelligence Strategy: A Gartner Trend Insight Report. Retrieved November 28, 2018, from https://www.gartner.com/doc/3847266/craft-artificial-intelligence-strategy-gartner
  35. Vance, A. (2018). How We Got Here. Bloomberg Businessweek, (4570), 64–67.
  36. Indian IT decision makers bullish on AI in BFSI sector: Report. (2018). FRPT- Software Snapshot, 37–37.
  37. Dobrescu, E. M., &Dobrescu, E. M. (2017). The Future of the Artificial Intelligence in Economics and Management. Review of General Management, 26(2), 81–89.
  38. Lai, P. (2017). THE LITERATURE REVIEW OF TECHNOLOGY ADOPTION MODELS AND THEORIES FOR THE NOVELTY TECHNOLOGY. Journal of Information Systems and Technology Management, 14(1). https://doi.org/10.4301/S1807-17752017000100002
  39. Skerrett, D. (2018, August 29). The State of Artificial Intelligence Around the Globe. Retrieved November 28, 2018, from http://www.econtentmag.com/Articles/Editorial/Mobile-Moment/The-State-of-Artificial-Intelligence-Around-the-Globe-126115.htm
  40. Tsoukas and Knudsen (2003) The Oxford Handbook of Organization Theory: Meta-Theoretical Perspectives. Oxford: Oxford University Press.
  41. Dobrescu, E. M., &Dobrescu, E. M. (2017). The Future of the Artificial Intelligence in Economics and Management. Review of General Management, 26(2), 81–89.
  42. Woodside, J. M., & Jr, F. K. A. (2017). Blockchain Technology Adoption Status and Strategies. Journal of International Technology and Information Management, 26(2), 30.
  43. Barnes, E. (2016). Advanced Artificial Intelligence: Policy and Strategy.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial intelligence Technology Adoption Strategy