Technology systematic literature review
Technology is now becoming a significant idea in running society efficiently. Various new changes have been initiated in the technological world which has changed how the system works and the general functionality of the society. One of the key areas that have been revolutionized and fully changed by the technological advancements in the world today is the world of commerce and business. The business scale has wholly changed and this has brought various critical changes on the functionality of the society and the inherent way through which the business works runs. It is important to note that it has become the most critical part of the business world through the application of artificial intelligence in the business society. The business society, therefore, has continued to become a crucial field that has continued to reap big from the developments in the world of technology.
The introduction of the conceptuality of artificial intelligence created one of the most profound methods of checking the various developments in the business world. The development of the various scopes of artificial intelligence and how it can be used to run the various sectors of the society therefore, led to creation of many article , books, journals and other materials with an aim of explaining the role that this massive technological developments play in the development and the success of the business world. Therefore, in determining the many existing kinds of literature in the general role that artificial intelligence concepts play in the world, it is important to look at it from the commerce perspectives. As noted earlier, the role which artificial intelligence play in the world Is not only tied with the commerce world but the same has some inherent roles that touch on the various scope of life and other sectors of the economy.
E. According to( Jourdan et al. 2008, 125), artificial intelligence is seen as a great technological factor that has revolutionized the financial analysis of commerce. The artificial intelligence can be used to analyze the finances of a given company within a given time frame and hence use the same information to predict the future. With the application of artificial intelligence, the business is able to analyze its finances based on the past and use the same information to predict the future. Thefeore, the same system can be used to create uniform management of the business from the management scale to the issuance of orders on the lower scale. The application of this idea according to (Metaxiotis et al. 2003, 219) is what is very basic in creating and understanding and total workability and giving the organization a personalized look.
Metaxiotis et al. (2003, 221), argues that the same method can help in the creation of a better way of running the entire activities of the business as every concept will be in line with the core requirements and the suitability of the organization. The same can help use the history of the business to create the most desired business strategy and market research that will reach all the desired person within the business scale (Pan, 2016, 213). The method is instrumental in checking and creating the most suitable look that will oversee the overall development of the business ideas that the business users and also developing the most effective market research that will meet the core needs of the people. According to (Tkáč & Verner, 2016, 790) the application of AI in market research uses the concept of all the past data on the individual persons, how the individual business uses it to run and the previous marketing style used will create the most identifiable market research that will meet the current needs of the customers too.
(Tkáč & Verner, 2016, 798) also points that the application of AI is one of the significant concepts that is now being used to create a unique brand development on the product that the company or the business is marketing and also creating a unique marketing style that will meet the needs of the business. Mason ( 2017, 27), argues that the application of AI in business and commerce can also help in the development of the most effective method of managing and development trend prediction. The use of AI in the business is not only limited to the scheduling of activities, payroll checks and also the planning on the employee benefits and future but also on the future of the business. The application of this methodology, therefore, can help plan for the future and develop a cleat and well-set objectives that the business ought to achieve within a given time frame.
Straub (2017, 78) argues that the development of AI in the business scale is a very important tool that can be used to create well manageable security concerns that portray and explain the company’s overview. Nowadays, with the rising cases of cybercrimes and other cybersecurity concern, the use of AI is one of the key methods that is now being applied in e-commerce to deal with this issue that is on the constant rise today. The use of the same method is very instrumental in the creation of a better way of managing the organization and the general vital information on the organization and hence promoting the security concerns of the organization or the business entity. Every business activity in the world today is working towards becoming technologically versatile and it is has been seen as changing and revolutionizing the entire business concepts and activities across the globe.
The role that AI plays in the world of commerce is very critical. It is an aspect that has recreated new techniques and methodologies of running the business, managing the business and also creating a whole new look for the general growth of the business. Major businesses are now into applying this new trend in the business world to create change and manage the various developments and occurrences within the business world. The business environment provides one of the major dynamic and competitive environment and the application of technological innovations in running the entire business system is very important. Business intelligence: An analysis of the literature. Information Systems Management, 25(2), pp. Kasemsap, K. The role of data mining for business intelligence in knowledge management.
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