Research Topics on AI
Research topic 1: Artificial Intelligence threatens the human labor sector in the retail industry.
Most retails are embracing the art of technology in different parts of the retail process. Activities such as customer service and even decision-making are slowly being transformed from human activities to Artificial intelligence (Grewal, Roggeveen and Nordfält, 2017). Most researchers are interested in researching on the technological benefits such as the reduction in time of service and cost. However, the impact of artificial intelligence on human labor appears to be left out by most researchers.
Reference
Grewal, D., Roggeveen, A.L. and Nordfält, J., 2017. The future of retailing. Journal of Retailing, 93(1), pp.1-6. Available at https://www.sciencedirect.com/science/article/pii/S0022435916300872
Research topic 2: Education on Artificial Intelligence is missing on important topics.
The fast evolution of the artificial intelligence era is characterized by a shift in the way education on artificial intelligence is done (Grewal, Motyka, and Levy, 2018). Several topics in AI education have been scrapped off while others have been added to the list. However, most researchers are interested in the positive impacts of the changing education systems. The negative part of the education system such as the omission of crucial topics remains an issue that is not sufficiently tackled by researchers.
Reference
Grewal, D., Motyka, S. and Levy, M., 2018. The evolution and future of retailing and retailing education. Journal of Marketing Education, 40(1), pp.85-93.
Research topic 3: Artificial intelligence boosts business competitiveness at a lower cost
The introduction of artificial intelligence in any business is viewed as a positive introduction that promises more business (Brynjolfsson and Mcafee, 2017). Several processes such decision making and customer engagement are made more effective with the time of service reducing significantly. However, researchers have been more concerned on the impacts of artificial intelligence on time-saving and increasing profitability. The issue of competition and reduction in the cost of operation in the long run is ignored by most researchers.
Reference
Brynjolfsson, E. and Mcafee, A.N.D.R.E.W., 2017. The business of artificial intelligence. Harvard Business Review. From https://starlab-alliance.com/wp-content/uploads/2017/09/The-Business-of-Artificial-Intelligence.pdf
Research topic 4: improving customer preference of goods using artificial intelligence.
Customer interaction is one of the fields that a business should aim at improving if business has to be grown. Artificial intelligence has come to the rescue of many businesses from the menace of poor customer interaction. Researchers have immensely covered the impact of AI on customer behavior. However, a gap exists in the research concerning the impact of artificial intelligence on the customer preference on certain goods.
Reference
Paolanti, M., Liciotti, D., Pietrini, R., Mancini, A. and Frontoni, E., 2018. Modelling and forecasting customer navigation in intelligent retail environments. Journal of Intelligent & Robotic Systems, 91(2), pp.165-180.
Research topic 5: Customer behavior in the interaction with artificial intelligence systems
Any retail business depends on customer service for successful business. With the introduction of AI services, customer service has moved to a new level (Nadimpalli, 2017). However, research has not been done exhaustively on the reaction of customers towards AI services and whether customer honesty has been affected.
Reference
Nadimpalli, M., 2017. Artificial Intelligence–Consumers and Industry Impact. Int J Econ Manag Sci, 6(429), p.2.
Research topic 6: Artificial intelligence: the hidden liability behind a mask of improved production
The introduction of artificial intelligence came as a breakthrough for most businesses. The promise for booming business led most businesses into moving to the new technology without question (Brynjolfsson, Rock and Syverson, 2018). Researchers have been busy explaining the benefits that come along artificial intelligence and especially in the production field. However, researchers have ignored the fact that artificial intelligence comes with additional liabilities. Companies have been straining beyond their capacities to incorporate AI into their systems.
Brynjolfsson, E., Rock, D. and Syverson, C., 2018. Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics. In The economics of artificial intelligence: An agenda. University of Chicago Press.
Research topic 7: Artificial intelligence is essential for expanding the customer network
In every business, the impact of new customers is always a growth in the capacity of sales. An expanding customer network promises a healthy business future (Paolanti et al. 2018). Researchers have been keen on associating artificial intelligence with the growth of the customer network. However, research has not been exhausted on the contribution of artificial intelligence towards attracting new customers.
Reference
Paolanti, M., Liciotti, D., Pietrini, R., Mancini, A. and Frontoni, E., 2018. Modelling and forecasting customer navigation in intelligent retail environments. Journal of Intelligent & Robotic Systems, 91(2), pp.165-180.
Research topic 8: Professional studies are on the risk of becoming irrelevant.
The most recent improvement of AI systems involves replacing most human professional roles with AI services. According to most researchers, the move is aimed at cutting costs of employing professionals to offer services that can be obtained from Artificial Intelligence for lower costs (Tredinnick, 2017). However, researchers have not been touching on the negative impact of AI professional services on the broad picture that involves professional studies. Research is needed to assess whether the introduction of artificial intelligence professional services is affecting the pursuit of professional studies by students in institutions of higher learning.
Reference
Tredinnick, L., 2017. Artificial intelligence and professional roles. Business Information Review, 34(1), pp.37-41.