Please see the attached files for the instructions on the 2 assignments, which are connected to each other. The feedback from the week 5 assignment is also on another attached file, and the feedback is shown in the right margin. One of the pages will be for assignment 1, which is to create a concept diagram. Please delegate the other 5 pages to assignment 2, which is the writing part.
The interrelationship between Artificial Intelligence with Organizational Change and Chaos Theory
The interrelationship between Artificial Intelligence with Organizational Change and Chaos Theory
This research paper is going to show how three fundamental concepts that are artificial intelligence, organizational change, and chaos theory are all interrelated by providing a detailed analysis of how artificial intelligence affects organizational change and how chaos theory can be used to support this claim.
Effects of Artificial Intelligence on Organizational Change in Companies
Artificial Intelligence (AI) entails the idea of using machines that are programmed in such a manner that they can act in a way that is similar to how a human being operates hence resulting to the simulation of human intelligence in machines (Russell & Norvig, 2016). Artificial intelligence revolves around the idea of taking into account the available internal and external data and computing it efficiently resulting in the machine taking an action that is aimed at achieving a particular goal.
One of the most profound theories that can be used in this research to show the existing relationship between artificial intelligence and change in an organization is the Chaos Theory which studies the unpredictable behavior of dynamic systems that are part of the artificial intelligence technology that is governed by deterministic laws. Artificial intelligence technologies are considered chaotic in the sense that they are ever unpredictable and are of deterministic nature (Levy, 2014). The use of artificial intelligence in companies has contributed to increase in chaos or challenges in the management processes given the fact that despite the artificial technology being hugely beneficial to companies it also brings with it various shortcomings. Two types of research can be conducted to determine the interrelationship between artificial intelligence, organizational change and chaos theory and they include quantitative and qualitative.
This type of research entails systematic and empirical investigation of measurable and observable phenomena through numerical, mathematical and statistical analysis of the data that has been collected using various research designs and as discussed below (Creswell, 2014).
It assists a researcher in investigating the existing relationship between one variable and another through manipulating one variable to determine whether it has any significant effect on another variable and involves comparing two or more groups of objects on one or even more available measures.
It entails administering a stimulus or treatment to one of the two groups which contain members who had been assigned to the group randomly.
This research design aims at discovering the possible relationship between dependent and independent variables after the occurrence of a specified event or action hence enabling the researcher to find out whether the dependent variable or the outcome is affected by the independent variable.
It entails determining which variables are interacting with one another or have a close relationship with each other in the same group of participants. Two or more variables are involved in this type of research design.
Data Collection in Quantitative Research
Data collection enables a researcher to come up with results that can help in giving answers to questions related to specific variables under study. In quantitative research, there are various data collection methods that the researcher can use to investigate the existing relationship between two or more variables as it is the case in determining the relationship between artificial intelligence, organizational change and chaos theory. Some of these data collection methods include:
This method entails asking questions to respondents with the aim of discovering their experiences or opinions regarding particular issues or variables that are under study. For instance, through the use of questionnaires, while conducting surveys to determine the interrelationship between artificial intelligence, organizational change, and chaos theory, the researcher may discover that most of the companies in the business world have started using the autonomous vehicle to enhance their operations (Liebowitz, 2011). These autonomous vehicles can identify obstacles and appropriate signage along the way hence successfully determining the proper navigation paths to use.
They manage to do this by using advanced control systems that are capable of interpreting sensory information (Liebowitz, 2011). This artificial intelligence has brought significant changes in the distribution processes of the companies such as increasing safety of the products during transit, reducing mobility and infrastructure costs. However, it also comes along with challenges that tend to cause disruptions such as technological failure which can be explained in the chaos theory perspective.
This data collection method comprises of the use of numbers that tend to represent a particular piece of information regarding a particular variable, and it helps in conveying the performance of a given variable that is being examined. For instance, the researcher can use test scores to determine the level of success that has been achieved in a company that is using artificial intelligence (Broadbent, Stafford & MacDonald, 2009). Some test scores indicate that the use of robotics in the healthcare has helped in increasing healthcare delivery which can be reflected on the continued increase in some patients who are managing to walk through the help of using the robotic equipment. Ekso Bionics which is one of the rehabilitation centers located in Richmond has been using a bionic suit to assist its paraplegic patients in walking again.
This method comprises the act of assigning subjects randomly between two groups. From the use of this data collection procedure, a researcher can discover that the bionic suit which is used in Ekso Bionics Company has software and sensors that are fixed on the knee and hip area that help in controlling and determining whether weight distribution of the patient wearing it is safe to take a step (Broadbent, Stafford & MacDonald, 2009). The existing software in this suit helps in preventing the patient from stumbling while wearing it. This artificial intelligence is currently transforming lives of the patients by enabling them to move from one place to another.
It helps the researcher develop hypotheses and ideas and further gain a proper understanding of the underlying motivations, opinions, and reasons. Some of the research designs that are used in qualitative research include (Creswell, 2014):
It entails the researcher interacting with the variables under study in the real-life environment such as a study on the existing characteristics of a particular community.
It helps the researcher in identifying and clarifying different contextualized social processes, and it allows categories and concepts to emerge from the available data.
It comprises narrowing down a vast field of research into a topic that can easily be researched hence resulting in an in-depth study of a certain situation.
It aids the researcher in critically comprehending the universal experience of a given phenomena through the use of methods such as interviews on the involved subjects.
Data Collection in Qualitative Research
In qualitative research, some of the methods that can be used in collecting data include:
Through holding focused group discussions, a researcher can be able to acquire more insight that may enable him or her to determine the possible relationship between concepts such as artificial intelligence, organizational change, and chaos theory. For instance, in a discussion about how robots are being used in companies to help in improving performance, the researcher may discover that Best Buy’s Chloe is a robotic artificial intelligence that operates like a vending machine whereby it helps in dispensing plug adapters and phone chargers among other electronic products being sold (Russell & Norvig, 2016). Through using the available product information, Best Buy’s Chloe can scan thousands of products that are available in the electronic store, and within less than a minute it locates the ordered item that had been made by the customer and then delivers it to him or her through a convenient bin.
It involves the researcher holding a one-on-one conversation with the respondents in the attempt of discovering their opinion regarding a particular issue. Through conducting interviews with both the employers and employees in different companies across the world, one can find out how artificial intelligence technology is transforming organizations today. Artificial intelligence tools are making most of the companies to start restructuring the management practices, develop new training models, transform the existing human resource departments and re-evaluate the hiring practices (Russell & Norvig, 2016). However, these technologies are also having some negative attributes such as having severe consequences if not handled well as described in the chaos theory.
This method of collecting data entails reading the existing written materials such as books, magazines, and newspapers among other literal materials with the goal of discovering new knowledge regarding specific variables. While analyzing documents, the researcher may find that companies such as Blue River Technology, Austin-based Briggo, and Calif’s Liquid Robotics are excellent case studies of some of the organizations that have greatly benefited from the use of robots in their daily operations (Russell & Norvig, 2016). For instance, Furthermore, Austin-based Briggo Company has managed to improve its operations through automating the process of making a barista-brewed cup of coffee. The automation of this process has enabled this company save on labor costs and increase customer satisfaction. Through the use of stable water temperature and real tamper, a robotic mechanism grinds coffee hence facilitating the production of precise shots of espresso in combination with the steam of wand that significantly mimics Pierce’s precise angle. The machine that is used here is capable of making multiple drinks at once and handle a high level of customization. Below image shows a coffee kiosk in Austin-based Briggo Company.
(Russell & Norvig, 2016).
This method entails the researcher physically watching the subjects as they go about doing their duties in their environment. While observing workers at the workplace, the researcher may notice that workers in a given company can critically analyze data through the use of a program famously known as Microsoft Workplace Analytics. Companies are now in a better position to redefine how they train their managers and other employees through the use of this program which makes it easy for a firm to find out some of the possible methods that it can use to facilitate best management practices (SchulTz, 2012).
Conclusively, from the evidence provided in this paper in the data collection sections, it is evident that there exists a very close relationship between concepts such as the artificial intelligence, organizational changes, and chaotic theory. Companies are using robots to transform their service delivery abilities. For instance, Ekso Bionics Company is using bionic suits to help the paraplegic patients under rehabilitation walk again. Furthermore, organizations are also using human intelligence technologies such as Microsoft Workplace Analytics to promote effective management practices. However, most of these artificial technologies also bring various shortcomings which need to be addressed. From a chaos theory perspective, the managers should put into consideration the characterization parameters of the involved artificial intelligence that has exhibited chaos.
Broadbent, E., Stafford, R., & MacDonald, B. (2009). Acceptance of Healthcare Robots for the Older Population: Review and Future Directions. International Journal of Social Robotics, 1(4), 319.
Creswell, J. W. (2014). Research Design: Qualitative & Quantitative Approaches. Sage Publications, Inc.
Liebowitz, J. (2011). Knowledge Management and its Link to Artificial Intelligence. Expert Systems with Applications, 20(1), 1-6.
Levy, D. (2014). Chaos Theory and Strategy: Theory, Application, and Managerial Implications. Strategic Management Journal, 15(S2), 167-178.
Russell, S. J., & Norvig, P. (2016). Artificial Intelligence: a Modern Approach. Malaysia; Pearson Education Limited.
SchulTz, G. (2012). Using Advanced Analytics to Predict and Prevent Workplace Injuries. Occupational Health & Safety.