Mounir El Khatib, Omran Al Matrooshi, Muaid Salami, Ali Bin Khadim
{"title":"Technology as a Source of Risk in Remote Work","authors":"Mounir El Khatib, Omran Al Matrooshi, Muaid Salami, Ali Bin Khadim","doi":"10.54489/ijtop.v3i2.310","DOIUrl":"https://doi.org/10.54489/ijtop.v3i2.310","url":null,"abstract":"Many factors led to the adoption of remote working in the work place. Existing technologies are identified and the readiness of organizations in the UAE to utilize them is assessed. The research combined a thorough literature review along with interviews and surveys from employees in the country’s various public and private sectors. The findings reveal that most companies in the UAE did have the necessary technologies for adopting remote working in a highly efficient and effective way, with a limited impact on the productivity of employees but posing a higher risk of cyber security threats. After the pandemic, the majority of the findings reveal a hybrid system to be adopted in the UAE between working in the office and remotely due to the technological benefits and limited risks.","PeriodicalId":488446,"journal":{"name":"International Journal of Theory of Organization and Practice (IJTOP)","volume":"58 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mounir El Khatib, AbdulAziz Al Hammadi, Khalifa Alzaabi, Khalifa Al Hammadi
{"title":"Operational Risk Management (ORM) as an Approach to Optimize Sustainability in the Construction Industry","authors":"Mounir El Khatib, AbdulAziz Al Hammadi, Khalifa Alzaabi, Khalifa Al Hammadi","doi":"10.54489/ijtop.v3i2.307","DOIUrl":"https://doi.org/10.54489/ijtop.v3i2.307","url":null,"abstract":"In the contemporary domain, sustainable construction projects are growing in the market with advanced standards. With the application of new materials and technology in construction, there has been an exponential surge in risks. The significance of risk administration in optimizing sustainability in construction ventures is, therefore, augmenting. This thesis assignment was aimed at expanding insights into project-related operational risks in the construction sector and their management. It was requisite to get familiar with good practices in the sector to suggest effective recommendations relating to the topic. The thesis examined operational risk management (ORM) as an approach to optimize sustainability in the construction industry. The thesis assumed an archival study and secondary analysis to construe the study hypothesis. Data gathering utilized both primary and secondary approaches. The questionnaire was used to reinforce the research outcomes. Data analysis involved categorization using a network of relationships. The results from 10 articles sampled in the study indicated that while most actors in the construction sector understand the importance of risk management, the role played by ORM in improving sustainability is not widespread.","PeriodicalId":488446,"journal":{"name":"International Journal of Theory of Organization and Practice (IJTOP)","volume":"17 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of AI TRiSM on Knowledge and Decision Making for Business Executives in the Education Industry","authors":"Mounir El Khatib, Moza Al Sharif, Hanadi Mohamad","doi":"10.54489/ijtop.v3i2.290","DOIUrl":"https://doi.org/10.54489/ijtop.v3i2.290","url":null,"abstract":"Artificial intelligence, also referred to as AI, allows operations to run efficiently, gathers important and relevant data, and self-analyses trends for accurate decision making. This research paper focuses on exposing the impact of AI TRiSM in knowledge and decision making for business executives in the education industry. The objectives are to investigate the impacts of AI TRiSM on business executives in knowledge and decision making in the education industry, and to explore how we can maximize the positive impacts and minimize the negative impacts of AI TRiSM on business executives in knowledge and decision making in the education industry. The problem to be identified it that although AI carries many advantages, not many are fully aware of its capabilities. The hypotheses to be investigates is that H1: E-education tools will improve student engagement and enhance learning outcomes compared to the traditional method of learning, and H2: Business executives and educators’ workload will be reduced because of AI introduction to the education industry. Various research questions will be asked to state the truthfulness and accuracy of both hypotheses. Secondary and primary data has been gathered to share sufficient insights around the topic. AI is all about humanizing technology. However, as much as we want to replicate human intelligence, AI is still at its infancy to think and feel like a human. AI TRiSM guarantees the robustness, fairness, reliability, effectiveness, privacy, and data protection of AI models. Many companies have adopted AI such as Google, Netflix, and Tesla. In the education industry, the introduction of AI has several advantages such as personalized learning and automation of tasks. However, it does have its disadvantages such as high cost and privacy concern. Several cases around the globe (UAE, China, and USA) have been reflected as well to highlight how AI has been applied in education. Through primary data gathering, 2 interviews have been conducted. 1 from the student perspective, and the other from the educator perspective, and both were asked 6 questions during the interview. From those responses, data was analyzed. Limitations of conducting this research paper has been addressed, followed by recommendations of adopting AI technologies, and finally a conclusion that summarizes the whole research paper and reflects on the accuracy of both hypotheses stated.","PeriodicalId":488446,"journal":{"name":"International Journal of Theory of Organization and Practice (IJTOP)","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}