“There should be little employee resistance to using artificial intelligence in management control systems because it will merely automate routine activities.”

“There should be little employee resistance to using artificial intelligence in management control systems because it will merely automate routine activities.”

The above statement is valid considering the benefits artificial intelligence has in management control systems in both the NGOs and private organizations. It is worrying to note that sometimes employees resist such an important system that has ability to automate routine activities. AI has ability to help management make better decisions regarding employees’ performance. One critical area that AI is applied is management control system (MCS). AI accomplishes may tasks related to MCS, ranging from helping officials to make informed decision when hiring to performance evaluation. In this case, senior staffs have the obligation to learn to utilize it. Also they need to ensure they apply it in a manner that empowers all staffs, not threaten them. Having presented the overview of AI let now embark on justifying the aforementioned claim.

To start with, AI is good for management control system because it is potential to crunch numbers while still identifying patterns and making faster data driven decisions. Since most of NGOs deals with large amount of data, the AI helps spit out actionable advice and trend directions and thus making it important tool that any manager should rely on for quantitative support in their decision making processes. Moreover, most of NGOs’ managers have the ability to enhance bonding by using belief systems, a significant component of any artificial intelligence system that has the ability to interact with people. The belief system need to be checked regularly as doing so engages workers in the entire process of addressing the benefits of the NGO to its areas of operations. This may include thinking about the importance of core values. In these bases, bonding is enhanced as the organization indulges in a process of strengthening its shared values.

In private organizations, AI resumes great role behind the scenes. This implies that AI is rolled out into management control system to manage, assist or handle regular functions and aspects of the daily activities. Utilizing AI in private sector can yield remarkable fruits as it is already making many organizations manage their data via in-depth analysis. For instance, private logistics organizations that use flights and freight trucks have realized that applying AI techniques helps them determine appropriate travel patterns grounded on the AI potential to acquire information from various places including average fuel consumption, weather among other elements.

In addition, the HR and staffing department is bestowed with many roles and have seen the importance of applying the AI technologies to help them determine the best talented employees from resume submissions. AI has the ability to match the best hire with the work positions by using keyword functionality and AI’s potential to collect and analyze information from a vast range of sources co-currently. In this case, it would be wrong to have a mind of resisting the entire process of integrating AI in to the management control system considering the benefits it has to the organization. Furthermore, private businesses use AI to determine the best training and education for their staffs. This process may also assist review performance records of each employee and evaluate the training and education supplements that match their needs.

From this article it is evident that most organizations with United Kingdom are deploying the use of artificial intelligence to monitor staffs actions time. This monitoring is evident of providing data about the person who visited emails and when and what they have been doing all day long. The technology invented for monitoring is called Isaak system that is produced by London Company.  The system categorizes employees’ attributes and uses logarithms to manage employees although it shows that trade unions fear that it might create distrust. The article has shown the importance of this system to the management. To begin it indicates that the system is significant in showing the management how employees work as a team and if they are productive. Additionally, is can be used in comparing activities with performance hence allowing managers to understand how employees behaviours affect their outcome. The article has shown that the data collected so far can be used in ensuring that workload is distributed evenly to all employees thus improving working conditions and overloading.

Although the managements might deem this system to be important, the author has indicated that it causes pressure to employees as they develop fear for the judgement of algorithm. Pressure at workplace demotivates employees from working and it at time results to high rate of turnover in the companies that have adopted it. The article provides rove of how the used of this system causes pressure by quoting a professor Ursula who indicates that the system makes individuals to be seen as if they are not working if they are off the keyboard.  Furthermore, from her insights, it is evident that this system can cause employees to develop mental complications if employees do not take some time off. At the same time,  the article indicates that within some years some benefits like insurance will be determined by the way a  person performs at the work place. The article has indicated that most organizations will adopt this system with an aim of promoting productivity but will not be concerned about employees well being. This is one of the most detrimental effects of this system in the United Kingdom economy as most employees might suffer from mental disorders.

The article has provided significant ideas to the organizations as it indicates that before implementing this system it should ensure that there is an agreement between the management and the employees. This is to ensure that the rate of resistance towards adoption new system.

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