{"title":"The Impact of Artificial Intelligence on Organisational Behavior: A Risky Tale between Myth and Reality for Sustaining Workforce","authors":"Zeinab Younis, Marwa Ibrahim, Habiba Azzam","doi":"10.14207/ejsd.2024.v13n1p109","DOIUrl":null,"url":null,"abstract":"Purpose: This research paper examines quantitatively the impact of Artificial Intelligence (AI) as an independent variable on three organisational behavior components as dependent variables: job satisfaction, personality, and attitudes. \nDesign/methodology: The sample of our study includes alumni graduates of the past two years reflecting on post-covid19 era as young workforce from Cairo, Egypt. It is important to note that there is no sufficient data regarding the impact of AI on OB testing this bracket of young population workforce, and highlighting specific components in the study of OB. \nFindings: This research finding revealed that AI can explain 46.5 % of Organizational Behavior which refers to the importance of AI usage among organizations and how this might change the current organizational environments. \nResearch Limitations: This research is limited by the fact that the sample encompassed a specific bracket of the young workforce age ranging from 20-35 years old even though they come from different backgrounds. \nPractical Implications: AI tools can enhance employees job satisfaction as well as it can help mitigate cognitive biases and groupthink, developing a decision-making culture that is more objective and data driven. \nOriginality: Therefore, the utility of this research on the academic level highlights the fact of identifying major concerns and formulations of essential conclusions to get a deeper understanding of the relationship between the different variables stated. On the practical level, it sheds light for several organisations on the danger of technology replacement of employees due to the invasive impact of AI usage. \nKeywords: Artificial Intelligence, Personality, Attitudes, Job Satisfaction, Organisational Behavior","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14207/ejsd.2024.v13n1p109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This research paper examines quantitatively the impact of Artificial Intelligence (AI) as an independent variable on three organisational behavior components as dependent variables: job satisfaction, personality, and attitudes.
Design/methodology: The sample of our study includes alumni graduates of the past two years reflecting on post-covid19 era as young workforce from Cairo, Egypt. It is important to note that there is no sufficient data regarding the impact of AI on OB testing this bracket of young population workforce, and highlighting specific components in the study of OB.
Findings: This research finding revealed that AI can explain 46.5 % of Organizational Behavior which refers to the importance of AI usage among organizations and how this might change the current organizational environments.
Research Limitations: This research is limited by the fact that the sample encompassed a specific bracket of the young workforce age ranging from 20-35 years old even though they come from different backgrounds.
Practical Implications: AI tools can enhance employees job satisfaction as well as it can help mitigate cognitive biases and groupthink, developing a decision-making culture that is more objective and data driven.
Originality: Therefore, the utility of this research on the academic level highlights the fact of identifying major concerns and formulations of essential conclusions to get a deeper understanding of the relationship between the different variables stated. On the practical level, it sheds light for several organisations on the danger of technology replacement of employees due to the invasive impact of AI usage.
Keywords: Artificial Intelligence, Personality, Attitudes, Job Satisfaction, Organisational Behavior