Investigating a Hypothesis

It has been analysed that the owner of the company that is Jeff Bezos is a world's richest person who mainly believes in adapting latest technology in order to provide best class products as well as services to its customers. This also contributes in simplifying work of employees and delivering effective services to customers while products of this company. This research on Artificial intelligence and its usage will be helpful for Amazon and clarify them about different kind opportunity which could be attained by them after having deep knowledge over similar topic.

What is the research questions?

• Is the development of full Artificial Intelligence effective for working environments?

What is The Null Hypothesis

Null hypothesis simply means that there is no relationship between available two variables. This hypothesis shows that researcher is believes that the stated research question does not have any valid point. Null hypothesis is basically denoted with H₀. In relation to the given research, it has been analysed that null hypothesis for the research question is defined as below:

H₀= No, the development of full Artificial Intelligence is not effective in working environments.

It means development of full Artificial Intelligence does not effect on working environment of business organisation like Amazon. It can be said that really does not matter whether Artificial intelligence is developing or not as human resources still have to place their exactly same efforts to monitor work which is performed by machinery (Artificial intelligence). Thus, it does not creates any difference at working environment of Amazon.

What is The Alternative Hypothesis

Alternative hypothesis is completely opposite to null  hypothesis as it shows that  the result is really effective (Wenger, 2014). Alternative hypothesis is denoted with H₁. In context to research  question of the present research, it has been analysed that its alternative hypothesis is described as below:

H₁=Yes, the development of full Artificial Intelligence is effective in working environments.

As per the above stated Alternative hypothesis, it can be said that development of full Artificial Intelligence is effective in working environment as it completely minimises work of employees. Along with this, it also reduces chances of conflict which might be occurs at workplace.

Resources and Sources

According to the point of view of Baker, (2012). it has been analysed that Artificial intelligence is also called as machine intelligence which is capable of performing activities or work like human beings. These machine includes different learning experience which guides a machine in doing work according to preset rules and also ability of correcting the same work at their own level. It can be said that these machines are capable of performing work as a human being by using similar kind of intelligence. These machinery which works as artificial usually performs work more effectively in comparison to human beings. It has been observed by the author that development of full artificial intelligence has positive as well as negative outcome which might enhance profitability of the company or it might also create negative publicity of company as well.

In order to reflect positive aspect of the similar question it has been believed by author that if artificial intelligence is fully developed then it contributes in creating effective working environment as there are least employees at workplace which reduces chances of conflicts among employees (LeCun, Bengio and Hinton, 2015). Along with this, Machines also owns more capacity as compared to human beings while performing work in effective manner

It has been observed that increasing usage of artificial intelligence is also contributing in enhancement of sales as large scale companies are using this technology in their working pattern. As a result, these machinery are capable of providing quick services to customers which retains customer to remain loyal with the similar company for long duration of time. It also helps in the company in generating more profitability and revenue for the same  company with the usage of advance and developed technology.

Apart from this, at the same time it can be said that development of fully artificial intelligence is not effective for working environment. In order to support this statement, it has been analysed that if artificial intelligence will  be completely developed then it will directly reduce work of employees (Cohen and Feigenbaum, 2014). As a result, work as well as profitability of the organisation will be depending upon the machinery only which is not good for companies growth as well as profitability of company.

Along with this, it can be said that Artificial intelligence systems are only beneficial for the company when they are programmed in right directions but if the programmer have saved wrong programming then it might be harmful for the company as AI system will work effectively but in the wrong direction. This may create problem for the company as well as its brand name.

Data and Methods

Chi Square Test

A chi-square test is a test used for statistical hypothesis in a situation where the distribution of sample is chi-squared and the null hypothesis holds true. This method is used for carrying out comparison between incidence of a characteristic present in one group with the same aspect in relation to another group (Nguyen and Aiello, 2013). It is a commonly used methodology and is often also written as  χ2 test. This method is used to ascertain the possibility of probable differences between anticipated and observed frequencies in concern with one or more such classes.

Actual (observed) range Expected (theoretica) range

Yes NO Yes No

Agree 28 2 Agree 17 13

Disagree 3 27 Disagree 13 17

Chi square test value= 4.32E-008

probability of error (refuting null hypothesis) = 4.32E-008

We cannot reject the null hypotheis because the test probability value for refuting H0 is above 0.05

Sources of Data

Researchers are often collecting information from various sources in order to conduct an effective result with true outcomes. This collected data can be termed as qualitative and quantitative in variable form. Basically, qualitative research is based on images, facts, values etc. on the other hand quantitative research is mainly covering statistical data that is numbers, figure etc. These methods are used by the researcher according to their feasibility and requirement of research objective (Nilsson, 2014). Further in this, researchers are using two different methods that is primary and secondary sources for collecting information from the targeted area. In primary method of data collection researcher gathers information directly from respondent. This includes different sources like interview, questionnaires, direct observations, surveys etc. On the other hand, in secondary method of data collection researcher finds informations from already conducted research and some books, journals, online articles etc. Information collected from secondary data collection method is second hand and based on finding results of someone else's findings. In present research, researcher have adopted questionnaires in primary method of data  collection.

Data Analysis

Theme 1:  Concept of artificial intelligence

Interpretation: From the above mentioned graph, it has been analysed that artificial intelligence is a advance of form of technology which helps business organisation in achieving their goals and objective with the help of machinery. These machines owns capability to performing work work like human being. As per the evaluation, it has been analysed that among 30 respondents 19 have said that “yes” they are agreed to the concept of artificial intelligence as they have seen it in many large stores. On the other hand, 11 people have denied to the similar thought as they are not aware about its existence and benefits.

Theme 2:  Benefits of developing Artificial Intelligence in Amazon

Interpretation: As per the above stated graph, it have been observed that there are numerous of benefits which are gained by large organisation like Amazon which includes reduces work pressure of employees, increases sales, delivering quick services etc. It has been identified that 11 people have said that  main benefit of artificial intelligence is that it increases sales of Amazon as customers will get attracted to use similar kind of advanced technology and will visit more number of stores. Whereas, 9 of them said that artificial intelligence is reduces work pressure of employees as they  only have to operate and monitor AI system which can be  seen as main benefit for Amazon. Remaining 10 respondents have declared that benefit of developing Artificial Intelligence in Amazon is that it delivers quick services to customers.

Theme 3: Disadvantage of developing fully Artificial Intelligence system in Amazon

Interpretation: As per the above mentioned graph, it can be said that even-though Artificial Intelligence is advance form of technology but it also have some negative impact and disadvantage for Amazon. It has been evaluated that 12 respondent among 30 believes that main disadvantage of Artificial Intelligence for Amazon is that it increases dependency of technology in operational activities which is not right as if someday company faces any issues related to technology then their work will completely stop as they are completely dependent on this form of technology. On the other hand, 18 respondents thinks that main disadvantage of  Artificial Intelligence is that it increases chances of fraud. Because there are possible chances that programmer might in built some wrong program which will make this machine  work in unethical manner.

Theme 4: Artificial Intelligence helps in growth and development of business organisation

Interpretation: From the above mentioned graph, it has bee realised that  Artificial Intelligence is the best technology which contributes in the growth and development of business organisation. In order to support this statement 17 respondents have said that they are agreed to the same thought as they are personally working in some companies which uses the similar technology is growing very faster. Whereas, 13 respondents have stated that does not agreed to the similar thought as they thinks that even if the technology reduces human efforts but its implementation is itself as expensive method that stops consumes profitability earning of the company.

Discussion

Results

As per the above stated research it has been development of full artificial Intelligence is helpful for creating effective working environment. In order to find out appropriate solution primary source of data collection method is used. In this, Questionnaire have been chosen as it is helpful in collecting true details from respondents. Along with this, it has been identified  Artificial Intelligence systems are beneficial for large scale organisation but at the same time it also increases huge level of dependency on technology (Michalski, Carbonell and Mitchell,  2013). It can be said that it is important for business organisation to be careful while choosing programmer to inbuilt command in this technology so that will execute work in effective manner like  human beings. Along with this, it is implemented in appropriate manner then company can gain huge benefits

Explaining How The Mechanisms of Conducting Research Work

In this research, researcher have initially collected information from the respondents by using primary source of data collection that is questionnaire. Further this collected information is analysed according to the given response of respondent. This evaluation is further helpful in  finding out appropriate outcome for the conducted research.

Reflect

While conducting an effective research for Amazon on the topic of Artificial Intelligence I have gained lots of experience. It has been analysed by me that primary method of data collection is best for every kind of research as it provides detailed and true information. It can be said that even though this method is effective but it also consumes lots of time. I have also analysed that there are Artificial Intelligence is only effective technology when the company has trustable programmers. Further, I have noticed that main demerit of this advance technology for Large scale companies is that it enhances dependency of technology over its operational activities.

Legal/Ethical concerns

A good research is required to be well planned, authentic and free from ethical problems. It is important for the researcher to conduct an effective research in order to find appropriate and relevant outcome for it  without compromising with ethical conflict (Russell and Norvig, 2016). In relation to the present research related to the artificial intelligence, main ethical consideration for researcher is that they should only use confidential details of respondent for research work only. It should not be used in other work without permission of respondent.

Conclusions

Finding

It has been identified that Artificial Intelligence is a strong and advance form of technology which helps business organisation to implement their business activities in effective manner. Along with this, it can be said that if large organisation wants to enhance their profitability and  reduces their working staff they can adopt this technology as it will reduce dependency of employees. As a result, large organisation can easily attain their targeted goals and objectives.

Limitations

While conducting this research, main limitation which have been identified by researcher is that the given time for this research was not enough which have interrupted them to find out relevant conclusion. Another limitation for this research was that while collecting information from respondents, they were not giving true information as they were less interested in questions.

Future research

Finding of this research are valuable for researcher which will clear their understanding on the same technology more deeply. It can be said if researcher will get chance in future to conduct research over the same topic then they will be easily execute this research in more effective manner.

References

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• Lozano-Perez, T., 2012. Autonomous robot vehicles. Springer Science & Business Media.
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• d Baker and et. al., 2012. Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra. International Educational Data Mining Society.
• Russell, S. J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.
• Michalski, R. S., Carbonell, J. G. and Mitchell, T. M. eds., 2013. Machine learning: An artificial intelligence approach. Springer Science & Business Media.