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User Expectation and Benefits of Implementing Artificial Intelligence in the UAE Energy Sector Cover

User Expectation and Benefits of Implementing Artificial Intelligence in the UAE Energy Sector

Open Access
|May 2022

References

  1. Russel, S., & Norvig, P. (2013). Artificial intelligence: a modern approach. London: Pearson Education Limited.
  2. Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science, 358(6370), 1530-1534.
  3. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280.10.1016/j.techfore.2016.08.019
  4. Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS quarterly, 137-209.10.2307/25148784
  5. Jayaraman, U., Gupta, P., Gupta, S., Arora, G., & Tiwari, K. (2020). Recent development in face recognition. Neurocomputing, 408, 231-245.10.1016/j.neucom.2019.08.110
  6. Epstein, S. L. (2015). Wanted: collaborative intelligence. Artificial Intelligence, 221, 36-45.10.1016/j.artint.2014.12.006
  7. Grint, K., & Woolgar, S. (2013). The machine at work: Technology, work and organization. John Wiley & Sons.
  8. Buell, R. W., Campbell, D., & Frei, F. X. (2010). Are self-service customers satisfied or stuck?. Production and Operations Management, 19(6), 679-697.10.1111/j.1937-5956.2010.01151.x
  9. Hahn, J. (2015). Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence.
  10. De Sousa, W. G., de Melo, E. R. P., Bermejo, P. H. D. S., Farias, R. A. S., & Gomes, A. O. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4), 101392.10.1016/j.giq.2019.07.004
  11. Fatima, S., Desouza, K. C., & Dawson, G. S. (2020). National strategic artificial intelligence plans: A multi-dimensional analysis. Economic Analysis and Policy, 67, 178-194.10.1016/j.eap.2020.07.008
  12. Spiro, R. J., Bruce, B. C., & Brewer, W. F. (Eds.). (2017). Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and education (Vol. 11). Routledge.10.4324/9781315107493
  13. Shepard, R. N. (1964). Edward feigenbaum and julian feldman (Editors). Computers and thought. New York: McGraw-Hill.
  14. McCorduck, P., & Cfe, C. (2004). Machines who think: A personal inquiry into the history and prospects of artificial intelligence. CRC Press.
  15. Muthukrishnan, N., Maleki, F., Ovens, K., Reinhold, C., Forghani, B., & Forghani, R. (2020). Brief history of artificial intelligence. Neuroimaging Clinics, 30(4), 393-399.10.1016/j.nic.2020.07.00433038991
  16. Eli-Chukwu, N. C. (2019). Applications of artificial intelligence in agriculture: A review. Engineering, Technology & Applied Science Research, 9(4), 4377-4383.10.48084/etasr.2756
  17. Newell, A., & Simon, H. A. (2007). Computer science as empirical inquiry: Symbols and search. In ACM Turing award lectures (p. 1975).10.1145/1283920.1283930
  18. Brooks, R. A. (1990). Elephants don’t play chess. Robotics and autonomous systems, 6(1-2), 3-15.10.1016/S0921-8890(05)80025-9
  19. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., & Rosati, R. (2013). Data complexity of query answering in description logics. Artificial Intelligence, 195, 335-360.10.1016/j.artint.2012.10.003
  20. EIA (2017). Country Analysis Brief: United Arab Emirates.
  21. Mills, R. (2016). Risky routes: energy transit in the Middle East. Qatar: Brookings Doha Center.
  22. Al Mansoori, F. T., Rahman, I. A., & Kasim, R. (2020). Deciding the Rank of Factors Affecting Abu Dhabi Oil & Gas Industry. International Journal of Sustainable Construction Engineering and Technology, 11(2), 133-139.10.30880/ijscet.2020.11.02.015
  23. Al Harbi, M., Viswanathan, R., & Al Shamsi, M. (2018, November). Management of Change: A Journey towards Simplifying the MOC Process in ADNOC Onshore. In Abu Dhabi International Petroleum Exhibition & Conference. One Petro.10.2118/193179-MS
  24. Onwuegbuzie, A. J., & Collins, K. M. (2007). A typology of mixed methods sampling designs in social science research. Qualitative Report, 12(2), 281-316.
  25. Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of mixed methods research, 1(1), 77-100.10.1177/1558689806292430
  26. Yeager, D. S., & Walton, G. M. (2011). Social-psychological interventions in education: They’re not magic. Review of educational Research, 81(2), 267-301.10.3102/0034654311405999
  27. Sarstedt, M., Bengart, P., Shaltoni, A. M., & Lehmann, S. (2018). The use of sampling methods in advertising research: A gap between theory and practice. International Journal of Advertising, 37(4), 650-663.10.1080/02650487.2017.1348329
  28. Lewis, S. (2015). Qualitative inquiry and research design: Choosing among five approaches. Health promotion practice, 16(4), 473-475.10.1177/1524839915580941
  29. Lee, J. M., & Rha, J. Y. (2016). Personalization– privacy paradox and consumer conflict with the use of location-based mobile commerce. Computers in Human Behavior, 63, 453-462.10.1016/j.chb.2016.05.056
  30. Memon, A. H., Soomro, M. A., Lakho, N. A., Memon, A. N., & Bhutto, M. A. (2018). A Survey on the Criteria for Measuring the Profitability of a Construction Organization. Engineering, Technology & Applied Science Research, 8(3), 2879-2881.10.48084/etasr.1963
  31. Souza, D. C., Wegner, F., Costa, L. C., Chiavegato, L. D., & Lunardi, A. C. (2017). Measurement properties of the Human Activity Profile questionnaire in hospitalized patients. Brazilian Journal of Physical Therapy, 21(3), 153-158.10.1016/j.bjpt.2017.03.011553746628473282
  32. Hashemi, S. A., & Dehghanian, F. (2017). A survey and analysis of the relationship between human resources management and organizational performance. Engineering, Technology & Applied Science Research, 5(2).10.48084/etasr.1220
  33. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. john wiley & sons.
  34. Thanasegaran, G. (2009). Reliability and Validity Issues in Research. Integration & Dissemination, 4.
  35. Soomro, N. U. I., Memon, A. H., Memon, N. A., & Memon, K. R. (2020). Contractor’s Selection Criteria in Construction Works in Pakistan. Engineering, Technology & Applied Science Research, 10(2), 5520-5523.10.48084/etasr.3334
  36. Sohu, S., Ullah, K., Jhatial, A. A., Jaffar, M., & Lakhiar, M. T. (2018). Factors adversely affecting quality in highway projects of Pakistan. International Journal of Advanced and Applied Sciences, 5(10), 62-66.10.21833/ijaas.2018.10.009
Language: English
Page range: 1 - 10
Submitted on: Feb 12, 2022
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Accepted on: Feb 28, 2022
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Published on: May 19, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Hassan Ali Hassan Altaffaq Almarashda, Ishak Bin Baba, Azizul Azhar Ramli, Aftab Hameed Memon, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.