Artificial Intelligence and Organizational Behavior: A Study

This report investigates the effect of Artificial Intelligence (AI) on organizational behavior. It begins by introducing AI's application in organizational studies, highlighting its potential to increase competitive advantage, automate interactions, and improve decision-making. The report identifies the problem statement, which centers on organizations adapting to technological challenges like AI's digitization. It explores research questions concerning AI's role and ways to enhance its scope within organizations. A literature review covers AI's growth across various fields and its application in organizational contexts, including the challenges of data quality, explainability, and implementation. The methodology outlines data collection through interviews and surveys, sampling techniques, and data analysis approaches. Research ethics, limitations, and a proposed timeline for the study are also included. The report concludes by discussing the expected outcomes and the contribution of AI technology in the organizational context, supported by various references.

Running Head: ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Effect of Artificial Intelligence on Organizational Behavior
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1ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Introduction
Artificial Intelligence can be applied in the field of the organizational study. The AI
Model of any particular organization comprise of the various intelligent agents who will
communicate the different operations in order to accomplish a particular task. The task involves
the filing of the different orders by retrieving the various items that are stored at the various
locations situated in a warehouse. The different agents will be represented on their own computer
system by using a sophisticated architecture based on the software. The software based
architecture will be capable of serving the fundamentals of the general intelligence level in order
to learn and adapt to a particular experience.
The use of artificial intelligence in the field of organizational context involves:
 Increasing the competitive advantage and improving the efficiency of the organizational
performance.
 To increase the advancement of the of the automated interactions along with the different
customers, their partners and the workers.
 To multiply the gains of the productivity gains by automating the entire organizational
process.
 To enhance the customer intimacy and therefore increase the power of the smarter
machinery structure and the other vehicles of the organizational structure.
 To enhance the intimacy levels of the customers and increase the demand of the
consumers.

2ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Background of the Study
The background of the study of the artificial intelligence has become the commercialized
field that has created a huge demand on the current market structure. The main background of
this study is to start the cover of the research gaps that exists along with the different forms of
the empirical data in order to help the organization to analyze the affect that the paradigms have
on the shift of the technology. The study will be conducted in such a manner that will help the
different organizations to adapt to the different reactive process and the sudden gaps in the
understanding of the role of the technology in the organizational sector (Jarrahi 2018).
Problem Statement
The problem statement related to this topic involves the perception of the different
organizations that will adapt to the different challenges in the technological field such as the
digitization process of the subject matter of the artificial intelligence. The problem statement that
guides this research proposal is the basic purpose of evaluating the significance of the artificial
intelligence in learning the organizational behavior and the prevention of the technological
challenges of the field of artificial intelligence (Hughes et,al 2019).
The problem statement also highlights the certain degree of paradigm shift in the field of
the advanced technology that will affect the non-progressive rate of the growth of the
organization that is characterized with the low levels of technology skills who will benefit from
the future organizations. The focus of this research is also based on the technology of the
artificial intelligence that will reflect the sheer existence of the actions of any technological
organization (Abubakar et.al 2019).

3ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Rationale
The application of the technology of the Artificial Intelligence will help the different
organizations to manage the different data in order to create the different opportunities. The
organizations will also analyze the different values of the organization in their various ways of
the cost reduction measures, and the faster rate of the enhancing the process of decision making
in the organizational context related to the new products and services offered by the organization
(Brougham and Haar 2018).
Research Questions
Q.1 what is the role of the Artificial Intelligence in the context of any organization?
Q.2 what are the Probable ways to enhance the scope of artificial intelligence and the digitization
measures in the context of the organization?
Literature Review
The artificial intelligence (AI) in the recent time has become the most important focus of
the search that will virtually cover the different fields of engineering, science, medicine and the
finance, law among the others Masnikosa (1998) The field of the artificial intelligence has grown
to a massive extent mainly in the fields of the tracking of the proliferation measures that will be
required to perform a difficult task (Shrestha et.al 2019).The field of the artificial intelligence
framework will however become a very important factor in enhancing each individual field of
the knowledge

4ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Concept of Artificial Intelligence in the Organizational Context
The application of artificial intelligence has been able to distinguish between the
analytical and the intuitive framework of the decision making approach in the context of the
uncertainty, the complexity and the equivocality of the different organizations. The daily
practices of the managers and the other organizational members will develop the different factors
of reasoning and the tools of logical deliberation (Qiu,Leavitt and Shapiro 2019).The cognition
of the different cognitive tools and the human decision making approach will result in a direct
and the deliberate form of the gathering of the organizational information that will develop the
alternative forms of the solution. However, these factors will be able to push it to the frontier of
the AI network Barber(2000)
Challenges of the application of the Artificial Intelligence in the different
organizations
There are however various challenges that the organizations face while implementing the
AI technology in the different organizational context. The most common challenges that the
organizations face are the data quality and the quantity measures that will rely heavily on the
data that will be required for the overall success of the organization. The difference in the
approach lies in the fact that the domain of the artificial intelligence network will provide with
better data to the organizational member (Li, Bonn and Ye 2019).
The main components of the data labelling and the structuring of the data along with the
different IOT aspects (Internet of Things) that will provide with a large share of the data and the
related factors. The other challenge lies in the explain ability factor. The emergence of many

5ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
black box models sometimes result in the delay of the certain factors that are provided by the
system.
Methodology
Data Collection
The subject matter is influenced by the various integration of the primary data. The primary data
in this context refers to the gathering of the information in the various forms of the interview and
the survey structure. The interview is conducted along with the managers of the organization
(Dietterich 2019).
Sampling Method
Different techniques of the sampling will be applied in the different fields of the research
that will include the probable form of the sampling techniques. The process of simple random
sampling method will be however used in order to evaluate the research on a deeper note. Three
managers along with the other members to encourage them to participate in the interview.
Data Analysis
To evaluate both the qualitative and the quantitative data, the structured approach will be
the most suitable approach. The information will be integrated from the interview approach
along with the various point that will be related to the research matter.
Research Ethics
The research was conducted under strict moral guidelines that will be used through the
research proposal. In order to integrate the primary data, not a single participant in the survey

6ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
will be persuaded to take part in the interview. The limitations will be related to the time frame
that will prove to be a possible restriction on the research. There will again be some associated
problems that will regain the permission to form the different managers during the survey
session. The different forms of the financial constraints might prove to be a restriction on the
conducting of the subsequent levels of the interview session.

7ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
Timeline for the Proposed Study
week 1 week 3 week 5 week 7 week 9
week
11
Objective Selection
Dat from the survey undertaken
Layout Creation
Review of the secondary sources
Interpretation and analysis of data collected
findings
Conclusion
Formatting
Final Submission
Research Outcome
It is expected at the end of the research that the report will discuss about the part of
artificial intelligence technology in the domain of organizational context.

8ARTIFICIAL INTELLIGENCE AND ORGANIZATIONAL BEHAVIOUR
References
Abubakar, A.M., Behravesh, E., Rezapouraghdam, H. and Yildiz, S.B., 2019. Applying artificial
intelligence technique to predict knowledge hiding behavior. International Journal of
Information Management, 49, pp.45-57.
Brougham, D. and Haar, J., 2018. Smart technology, artificial intelligence, robotics, and
algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management
& Organization, 24(2), pp.239-257.
Dietterich, T.G., 2019. Robust artificial intelligence and robust human organizations. Frontiers
of Computer Science, 13(1), pp.1-3.
Hughes, C., Robert, L., Frady, K. and Arroyos, A., 2019. Artificial Intelligence, Employee
Engagement, Fairness, and Job Outcomes. Artificial Intelligence, Employee Engagement,
Fairness, and Job Outcomes.
Jarrahi, M.H., 2018. Artificial intelligence and the future of work: Human-AI symbiosis in
organizational decision making. Business Horizons, 61(4), pp.577-586.
Li, J.J., Bonn, M.A. and Ye, B.H., 2019. Hotel employee's artificial intelligence and robotics
awareness and its impact on turnover intention: The moderating roles of perceived organizational
support and competitive psychological climate. Tourism Management, 73, pp.172-181.
Qiu, F., Leavitt, K.N. and Shapiro, D.L., 2019, July. Social Automatons: Using Simple Artificial
Intelligence for Organizational Behavior Research Designs. In Academy of Management
Proceedings (Vol. 2019, No. 1, p. 11332). Briarcliff Manor, NY 10510: Academy of
Management.
Shrestha, Y.R., Ben-Menahem, S.M. and Von Krogh, G., 2019. Organizational Decision-Making
Structures in the Age of Artificial Intelligence. California Management Review, 61(4), pp.66-83.

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