THE RISE OF ARTIFICIAL INTELLIGENCE AND ITS INFLUENCE ON EMPLOYEE PERFORMANCE AND WORK

http://dx.doi.org/10.31703/gssr.2023(VIII-II).43      10.31703/gssr.2023(VIII-II).43      Published : Jun 2
Authored by : Kirshan Kumar Luhana , Atia BanoMemon , Imran Khan

43 Pages : 463-479

References

  • Akhtar Bhatti, A., Ali Jamali, M., Khokhar, M., Haneef Buriro, M., Scholar, Mp., & Ali Jinnah University Karachi, M. (2023). The Impact of Gold, Oil Prices, and their Associated Implied Volatilities on Performance of Pakistan’s Stock Market. Pakistan Journal of Humanities and Social Sciences, 11(2), 1371–1384–1371–1384. https://doi.org/10.52131/PJHSS.2023.110 2.0441
  • Asqah, A., Leveraging, S., Alabdulatif, A., Al Asqah, M., Moulahi, T., & Zidi, S. (2023). Leveraging Artificial Intelligence in Blockchain-Based E-Health for Safer Decision Making Framework. Applied Sciences 2023, Vol. 13, Page 1035, 13(2), 1035. https://doi.org/10.3390/APP13021035
  • Begum Siddiqui, M., Khokhar, M., Rafique Makhdoom, T., Devi, A., Akhtar Bhatti, A., Hussain, N., School of Business, B., Bhutto Shaheed University Lyari, B., & Author, C. (2023). Exploring the Rural Development of China Pakistan Economic Corridor Project Impact on Social Responsibilities and South Region of Pakistan. International Journal of Special Education, 38(1), 135–150. https://www.internationaljournalofspeciale ducation.com/submission/index.php/ijse/a rticle/view/2322
  • Bhatti, A. A., Raza, A., Devi, A., Jamali, M. A., Khokhar, M., Badin, L. C., Campus, K., Shaheed, B. B., Words, K., Bank, I., Bank, T., Technology, F., Envelopment, D., Auto, P. V., & Khokhar, M. (2023). Financial Technology and Performance of Islamic Vs . Traditional Banks in Pakistan : By Non- Parametric Data Envelopment Analysis ( DEA ). 3, 269–281.
  • Castka, P., Searcy, C., & Fischer, S. (2020). Technology-enhanced auditing in voluntary sustainability standards: The impact of COVID-19. Sustainability (Switzerland), 12(11). https://doi.org/10.3390/SU12114740
  • Chain, C. P., Santos, A. C. dos, Castro, L. G. de, & Prado, J. W. do. (2019). BIBLIOMETRIC ANALYSIS OF THE QUANTITATIVE METHODS APPLIED TO THE MEASUREMENT OF INDUSTRIAL CLUSTERS. Journal of Economic Surveys, 33(1), 60–84. https://doi.org/10.1111/joes.12267
  • Charles, V., Emrouznejad, A., & Gherman, T. (2023). A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Annals of Operations Research 2023, 1–41. https://doi.org/10.1007/S10479-023- 05169-W
  • Chaudhuri, R., Chatterjee, S., Kraus, S., & Vrontis, D. (2023). Assessing the AI-CRM technology capability for sustaining family businesses in times of crisis: the moderating role of strategic intent. Journal of Family Business Management, 13(1), 46–67 . https://doi.org/10.1108/JFBM-12-2021- 0153
  • Dhara, S., Chatterjee, S., Chaudhuri, R., Goswami, A., & Ghosh, S. K. (2022). Artificial Intelligence in Assessment of Students’ Performance. Artificial Intelligence in Higher Education, 153–167. https://doi.org/10.1201/9781003184157- 8
  • Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55. https://doi.org/10.1016/J.IJINFOMGT.202 0.102211
  • Fossen, F. M., Sorgner, A., & Economics, L. (2019). Digitalization of work and entry into entrepreneurship. Journal of Business Research, 2019(September), 1–16. https://doi.org/10.1016/j.jbusres.2019.09. 019
  • Gareta, R., Romeo, L. M., & Gil, A. (2006). Forecasting of electricity prices with neural networks. Energy Conversion and Management, 47(13–14), 1770–1778. https://doi.org/10.1016/j.enconman.2005. 10.010
  • Hailiang, Z., Khokhar, M., Islam, T., & Sharma, A. (2023). A model for green-resilient supplier selection: fuzzy best–worst multi- criteria decision-making method and its applications. Environmental Science and Pollution Research, 0123456789
  • HOU, Y., Khokhar, M., Khan, M., Islam, T., & Haider, I. (2021). Put Safety First: Exploring the Role of Health and Safety Practices in Improving the Performance of SMEs: 11(3) https://doi.org/10.1177/21582440211032 173
  • Hou, Y., Khokhar, M., Sharma, A., Bakul, J., Mohammad, S., & Hossain, A. (2023). Converging concepts of sustainability and supply chain networks : a systematic literature review approach. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023- 25412-y
  • Hou, Y., Khokhar, M., Zia, S., & Sharma, A. (2021). Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic. Frontiers in Psychology, 12, 804954. https://doi.org/10.3389/FPSYG.2021.8049 54
  • Hou, Y., Khokhar, M., Zia, S., & Sharma, A. (2022). Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic. Frontiers in Psychology, 12, 1–13. https://doi.org/10.3389/fpsyg.2021.80495 4
  • Irshad, M., Liu, W., Arshad, J., Sohail, M. N., Murthy, A., Khokhar, M., & Uba, M. M. (2019). A novel localization technique using luminous flux. Applied Sciences (Switzerland), 9(23), 1–17. https://doi.org/10.3390/app9235027
  • Kardinal Jusuf, S., Sahabuddin, M., Billal Hossain, M., Khokhar, M., Sharaf, M., Ejaz, S., Ejaz, F., & Bálint Illés, C. (2023). The Effect of Eco-Preneurship and Green Technology Management on Greenhouse Gas Discharge: An Analysis on East Asian Economies. Sustainability 2023, 15(8), 6747. https://doi.org/10.3390/SU15086747
  • Khadka, G. B. (2019). Dividend Policy and Its Impact on Market Price of Stock. 4(2). https://elibrary.tucl.edu.np/bitstream/123 456789/1222/2/COVER.pdf
  • Khaskhelly, F. Z., Raza, A., Azhar, H., Zehra, N. Z., Safdar, M. H., & Khokhar, M. (2023). Corporate Social Responsibility through Collaboration in the Supply Chain: Insights into a More Sustainable Economy. Reviews of Management Sciences, 5(1), 50–62. https://doi.org/10.53909/rms.05.01.0196
  • Khokhar, M., Yumei, H., Sethar, I., Amin, W., & Shakib, M. K. (2019). Occupational health & safety implementation framework for pakistani construction industry in Sindh province. 3C Tecnología, 253–285. https://doi.org/10.17993/3ctecno.2019.sp ecialissue3.253-285
  • Khokhar, M., Devi, A., Siddiqui, M. B., & Bhatti, A. A. (2022). Performance of the Cosmetics Industry from the Perspective of Corporate Social Responsibility and Circular Economy: A Cross?Cultural Current Challenges Faced In the Cosmetics Industry. Pakistan Journal of Humanities and Social Sciences, 10(4). https://doi.org/10.52131/pjhss.2022.1004. 0310
  • Khokhar, M., Hou, Y., Rafique, M. A., & Iqbal, W. (2020). Evaluating the Social Sustainability Criteria of Supply Chain Management in Manufacturing Industries: A Role of BWM in MCDM. Problemy Ekorozwoju, 15(2), 185– 194. https://doi.org/10.35784/pe.2020.2.18
  • Khokhar, M., Hou, Y., Rafique, M. A., & Iqbal, W. (2020b). Evaluating the Social Sustainability Criteria of Supply Chain Management in Manufacturing Industries: A Role of BWM in MCDM. Problemy Ekorozwoju, 15(2), 185–194. https://doi.org/10.35784/pe.2020.2.18
  • Khokhar, M., Iqbal, W., Hou, Y., Abbas, M., & Fatima, A. (2020). Assessing supply chain performance from the perspective of pakistan’s manufacturing industry through social sustainability. Processes, 8(9), 1064. https://doi.org/10.3390/pr8091064
  • Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022). Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis. Information Systems Frontiers, 1, 1–26. https://doi.org/10.1007/S10796-022- 10279-0/FIGURES/9
  • Lam, H. K. (2018). A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership- function-independent to membership- function-dependent analysis. Engineering Applications of Artificial Intelligence, 67, 390–408. https://doi.org/10.1016/j.engappai.2017.0 9.007
  • Liu, H. C., Fan, X. J., Li, P., & Chen, Y. Z. (2014). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence, 34, 168–177. https://doi.org/10.1016/j.engappai.2014.0 4.011
  • Rosário, A. T., & Dias, J. (2022). Sustainability and the Digital Transition: A Literature Review. Sustainability, 14(7), 4072. https://doi.org/10.3390/su14074072
  • Manis, K. T., & Madhavaram, S. (2023). AI- Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues. Journal of Business Research, 157. https://doi.org/10.1016/J.JBUSRES.2022. 113485
  • Mothafar, N. A., Khokhar, M., Zehra, N., Zeb Khaskhelly, F., Haris Mirza, M., Asim Rafique, M., & raza, A. (2022). Aligning Organization And Human Resource Management Practices For Business Strategy. Journal of Positive School Psychology , 6(12), 236–248. https://www.journalppw.com/index.php/j psp/article/view/14679
  • Nawaz, M., Makhdoom, T. S., & Bhatti, A. A. (2021). Investigation of Simultaneous Occurrence of Citizenship and Dysfunctional Behaviours within an Educational Context. International Review of Management and Business Research, 10(1), 235–245. https://doi.org/10.30543/10-1(2021)-20
  • Ranjbar, S., Nejad, F. M., Zakeri, H., & Gandomi, A. H. (2020). Computational intelligence for modeling of asphalt pavement surface distress. In Elsevier eBooks (pp. 79–116). https://doi.org/10.1016/b978-0-12- 818961-0.00003-x
  • Rejeb, A., Keogh, J. G., & Rejeb, · Karim. (2022). Big data in the food supply chain: a literature review. Journal of Data, Information and Management 2022 4:1, 4(1), 33–47
  • Schafer, J. Ben, Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery, 5(1/2), 115–153. https://doi.org/10.1023/A:100980423040 9
  • Wang, X., Li, J., Zheng, Y., & Li, J. (2022). Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects. Frontiers of Chemical Science and Engineering, 16(6), 1023–1029. https://doi.org/10.1007/S11705-022- 2142-6
  • Waseem, A., Khokhar, M., Zia, S., Hou, Y., & Republic, C. (2022). Supply Chain Management in Crisis: Agile Planning to Avoid Supply Chain Disasters. International Journal of Scientific & Engineering Research 13(6), 422–441. https://www.ijser.org/onlineResearchPape rViewer.aspx?SUPPLY_CHAIN_MANAGEM ENT_IN_CRISIS_AGILE_PLANNING_TO_AV OID_SYPPLY_CHAIN_DISASTERS.pdf
  • Yumei Hou, J. W. Q. G. Y. W. M. K. J. L. (2020). Considering the Patient Satisfaction and Staffing skill the Optimization of Surgical Scheduling by Particle Swarm and Genetic Algorithm. Solid State Technology, 2096– 2111. http://www.solidstatetechnology.us/index. php/JSST/article/view/4809
  • Zameer, A., Arshad, J., Khan, A., & Raja, M. A. Z. (2017). Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks. Energy Conversion and Management, 134, 361–372. https://doi.org/10.1016/j.enconman.2016. 12.032
  • Zeb Khaskhelly, F., Khokhar, M., Zehra, N., Azhar, H., Haris Mirza, M., Raza, A., & Campus, K. (2022). Closed Loop Supply Chain: Evaluating Ecological Footprint. Reviews of Management Sciences, 4(2), 69– 94. https://doi.org/10.53909/rms.04.02.0195

References

  • Akhtar Bhatti, A., Ali Jamali, M., Khokhar, M., Haneef Buriro, M., Scholar, Mp., & Ali Jinnah University Karachi, M. (2023). The Impact of Gold, Oil Prices, and their Associated Implied Volatilities on Performance of Pakistan’s Stock Market. Pakistan Journal of Humanities and Social Sciences, 11(2), 1371–1384–1371–1384. https://doi.org/10.52131/PJHSS.2023.110 2.0441
  • Asqah, A., Leveraging, S., Alabdulatif, A., Al Asqah, M., Moulahi, T., & Zidi, S. (2023). Leveraging Artificial Intelligence in Blockchain-Based E-Health for Safer Decision Making Framework. Applied Sciences 2023, Vol. 13, Page 1035, 13(2), 1035. https://doi.org/10.3390/APP13021035
  • Begum Siddiqui, M., Khokhar, M., Rafique Makhdoom, T., Devi, A., Akhtar Bhatti, A., Hussain, N., School of Business, B., Bhutto Shaheed University Lyari, B., & Author, C. (2023). Exploring the Rural Development of China Pakistan Economic Corridor Project Impact on Social Responsibilities and South Region of Pakistan. International Journal of Special Education, 38(1), 135–150. https://www.internationaljournalofspeciale ducation.com/submission/index.php/ijse/a rticle/view/2322
  • Bhatti, A. A., Raza, A., Devi, A., Jamali, M. A., Khokhar, M., Badin, L. C., Campus, K., Shaheed, B. B., Words, K., Bank, I., Bank, T., Technology, F., Envelopment, D., Auto, P. V., & Khokhar, M. (2023). Financial Technology and Performance of Islamic Vs . Traditional Banks in Pakistan : By Non- Parametric Data Envelopment Analysis ( DEA ). 3, 269–281.
  • Castka, P., Searcy, C., & Fischer, S. (2020). Technology-enhanced auditing in voluntary sustainability standards: The impact of COVID-19. Sustainability (Switzerland), 12(11). https://doi.org/10.3390/SU12114740
  • Chain, C. P., Santos, A. C. dos, Castro, L. G. de, & Prado, J. W. do. (2019). BIBLIOMETRIC ANALYSIS OF THE QUANTITATIVE METHODS APPLIED TO THE MEASUREMENT OF INDUSTRIAL CLUSTERS. Journal of Economic Surveys, 33(1), 60–84. https://doi.org/10.1111/joes.12267
  • Charles, V., Emrouznejad, A., & Gherman, T. (2023). A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Annals of Operations Research 2023, 1–41. https://doi.org/10.1007/S10479-023- 05169-W
  • Chaudhuri, R., Chatterjee, S., Kraus, S., & Vrontis, D. (2023). Assessing the AI-CRM technology capability for sustaining family businesses in times of crisis: the moderating role of strategic intent. Journal of Family Business Management, 13(1), 46–67 . https://doi.org/10.1108/JFBM-12-2021- 0153
  • Dhara, S., Chatterjee, S., Chaudhuri, R., Goswami, A., & Ghosh, S. K. (2022). Artificial Intelligence in Assessment of Students’ Performance. Artificial Intelligence in Higher Education, 153–167. https://doi.org/10.1201/9781003184157- 8
  • Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55. https://doi.org/10.1016/J.IJINFOMGT.202 0.102211
  • Fossen, F. M., Sorgner, A., & Economics, L. (2019). Digitalization of work and entry into entrepreneurship. Journal of Business Research, 2019(September), 1–16. https://doi.org/10.1016/j.jbusres.2019.09. 019
  • Gareta, R., Romeo, L. M., & Gil, A. (2006). Forecasting of electricity prices with neural networks. Energy Conversion and Management, 47(13–14), 1770–1778. https://doi.org/10.1016/j.enconman.2005. 10.010
  • Hailiang, Z., Khokhar, M., Islam, T., & Sharma, A. (2023). A model for green-resilient supplier selection: fuzzy best–worst multi- criteria decision-making method and its applications. Environmental Science and Pollution Research, 0123456789
  • HOU, Y., Khokhar, M., Khan, M., Islam, T., & Haider, I. (2021). Put Safety First: Exploring the Role of Health and Safety Practices in Improving the Performance of SMEs: 11(3) https://doi.org/10.1177/21582440211032 173
  • Hou, Y., Khokhar, M., Sharma, A., Bakul, J., Mohammad, S., & Hossain, A. (2023). Converging concepts of sustainability and supply chain networks : a systematic literature review approach. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023- 25412-y
  • Hou, Y., Khokhar, M., Zia, S., & Sharma, A. (2021). Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic. Frontiers in Psychology, 12, 804954. https://doi.org/10.3389/FPSYG.2021.8049 54
  • Hou, Y., Khokhar, M., Zia, S., & Sharma, A. (2022). Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic. Frontiers in Psychology, 12, 1–13. https://doi.org/10.3389/fpsyg.2021.80495 4
  • Irshad, M., Liu, W., Arshad, J., Sohail, M. N., Murthy, A., Khokhar, M., & Uba, M. M. (2019). A novel localization technique using luminous flux. Applied Sciences (Switzerland), 9(23), 1–17. https://doi.org/10.3390/app9235027
  • Kardinal Jusuf, S., Sahabuddin, M., Billal Hossain, M., Khokhar, M., Sharaf, M., Ejaz, S., Ejaz, F., & Bálint Illés, C. (2023). The Effect of Eco-Preneurship and Green Technology Management on Greenhouse Gas Discharge: An Analysis on East Asian Economies. Sustainability 2023, 15(8), 6747. https://doi.org/10.3390/SU15086747
  • Khadka, G. B. (2019). Dividend Policy and Its Impact on Market Price of Stock. 4(2). https://elibrary.tucl.edu.np/bitstream/123 456789/1222/2/COVER.pdf
  • Khaskhelly, F. Z., Raza, A., Azhar, H., Zehra, N. Z., Safdar, M. H., & Khokhar, M. (2023). Corporate Social Responsibility through Collaboration in the Supply Chain: Insights into a More Sustainable Economy. Reviews of Management Sciences, 5(1), 50–62. https://doi.org/10.53909/rms.05.01.0196
  • Khokhar, M., Yumei, H., Sethar, I., Amin, W., & Shakib, M. K. (2019). Occupational health & safety implementation framework for pakistani construction industry in Sindh province. 3C Tecnología, 253–285. https://doi.org/10.17993/3ctecno.2019.sp ecialissue3.253-285
  • Khokhar, M., Devi, A., Siddiqui, M. B., & Bhatti, A. A. (2022). Performance of the Cosmetics Industry from the Perspective of Corporate Social Responsibility and Circular Economy: A Cross?Cultural Current Challenges Faced In the Cosmetics Industry. Pakistan Journal of Humanities and Social Sciences, 10(4). https://doi.org/10.52131/pjhss.2022.1004. 0310
  • Khokhar, M., Hou, Y., Rafique, M. A., & Iqbal, W. (2020). Evaluating the Social Sustainability Criteria of Supply Chain Management in Manufacturing Industries: A Role of BWM in MCDM. Problemy Ekorozwoju, 15(2), 185– 194. https://doi.org/10.35784/pe.2020.2.18
  • Khokhar, M., Hou, Y., Rafique, M. A., & Iqbal, W. (2020b). Evaluating the Social Sustainability Criteria of Supply Chain Management in Manufacturing Industries: A Role of BWM in MCDM. Problemy Ekorozwoju, 15(2), 185–194. https://doi.org/10.35784/pe.2020.2.18
  • Khokhar, M., Iqbal, W., Hou, Y., Abbas, M., & Fatima, A. (2020). Assessing supply chain performance from the perspective of pakistan’s manufacturing industry through social sustainability. Processes, 8(9), 1064. https://doi.org/10.3390/pr8091064
  • Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022). Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis. Information Systems Frontiers, 1, 1–26. https://doi.org/10.1007/S10796-022- 10279-0/FIGURES/9
  • Lam, H. K. (2018). A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership- function-independent to membership- function-dependent analysis. Engineering Applications of Artificial Intelligence, 67, 390–408. https://doi.org/10.1016/j.engappai.2017.0 9.007
  • Liu, H. C., Fan, X. J., Li, P., & Chen, Y. Z. (2014). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence, 34, 168–177. https://doi.org/10.1016/j.engappai.2014.0 4.011
  • Rosário, A. T., & Dias, J. (2022). Sustainability and the Digital Transition: A Literature Review. Sustainability, 14(7), 4072. https://doi.org/10.3390/su14074072
  • Manis, K. T., & Madhavaram, S. (2023). AI- Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues. Journal of Business Research, 157. https://doi.org/10.1016/J.JBUSRES.2022. 113485
  • Mothafar, N. A., Khokhar, M., Zehra, N., Zeb Khaskhelly, F., Haris Mirza, M., Asim Rafique, M., & raza, A. (2022). Aligning Organization And Human Resource Management Practices For Business Strategy. Journal of Positive School Psychology , 6(12), 236–248. https://www.journalppw.com/index.php/j psp/article/view/14679
  • Nawaz, M., Makhdoom, T. S., & Bhatti, A. A. (2021). Investigation of Simultaneous Occurrence of Citizenship and Dysfunctional Behaviours within an Educational Context. International Review of Management and Business Research, 10(1), 235–245. https://doi.org/10.30543/10-1(2021)-20
  • Ranjbar, S., Nejad, F. M., Zakeri, H., & Gandomi, A. H. (2020). Computational intelligence for modeling of asphalt pavement surface distress. In Elsevier eBooks (pp. 79–116). https://doi.org/10.1016/b978-0-12- 818961-0.00003-x
  • Rejeb, A., Keogh, J. G., & Rejeb, · Karim. (2022). Big data in the food supply chain: a literature review. Journal of Data, Information and Management 2022 4:1, 4(1), 33–47
  • Schafer, J. Ben, Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery, 5(1/2), 115–153. https://doi.org/10.1023/A:100980423040 9
  • Wang, X., Li, J., Zheng, Y., & Li, J. (2022). Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects. Frontiers of Chemical Science and Engineering, 16(6), 1023–1029. https://doi.org/10.1007/S11705-022- 2142-6
  • Waseem, A., Khokhar, M., Zia, S., Hou, Y., & Republic, C. (2022). Supply Chain Management in Crisis: Agile Planning to Avoid Supply Chain Disasters. International Journal of Scientific & Engineering Research 13(6), 422–441. https://www.ijser.org/onlineResearchPape rViewer.aspx?SUPPLY_CHAIN_MANAGEM ENT_IN_CRISIS_AGILE_PLANNING_TO_AV OID_SYPPLY_CHAIN_DISASTERS.pdf
  • Yumei Hou, J. W. Q. G. Y. W. M. K. J. L. (2020). Considering the Patient Satisfaction and Staffing skill the Optimization of Surgical Scheduling by Particle Swarm and Genetic Algorithm. Solid State Technology, 2096– 2111. http://www.solidstatetechnology.us/index. php/JSST/article/view/4809
  • Zameer, A., Arshad, J., Khan, A., & Raja, M. A. Z. (2017). Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks. Energy Conversion and Management, 134, 361–372. https://doi.org/10.1016/j.enconman.2016. 12.032
  • Zeb Khaskhelly, F., Khokhar, M., Zehra, N., Azhar, H., Haris Mirza, M., Raza, A., & Campus, K. (2022). Closed Loop Supply Chain: Evaluating Ecological Footprint. Reviews of Management Sciences, 4(2), 69– 94. https://doi.org/10.53909/rms.04.02.0195

Cite this article

APA

    APA : Luhana, K. K., Memon, A. B., & Khan, I. (2023). The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work. Global Social Sciences Review, VIII(II), 463-479. https://doi.org/10.31703/gssr.2023(VIII-II).43

CHICAGO

    CHICAGO : Luhana, Kirshan Kumar, Atia Bano Memon, and Imran Khan. 2023. "The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work." Global Social Sciences Review, VIII (II): 463-479 doi: 10.31703/gssr.2023(VIII-II).43

HARVARD

    HARVARD : LUHANA, K. K., MEMON, A. B. & KHAN, I. 2023. The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work. Global Social Sciences Review, VIII, 463-479.

MHRA

    MHRA : Luhana, Kirshan Kumar, Atia Bano Memon, and Imran Khan. 2023. "The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work." Global Social Sciences Review, VIII: 463-479

MLA

    MLA : Luhana, Kirshan Kumar, Atia Bano Memon, and Imran Khan. "The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work." Global Social Sciences Review, VIII.II (2023): 463-479 Print.

OXFORD

    OXFORD : Luhana, Kirshan Kumar, Memon, Atia Bano, and Khan, Imran (2023), "The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work", Global Social Sciences Review, VIII (II), 463-479

TURABIAN

    TURABIAN : Luhana, Kirshan Kumar, Atia Bano Memon, and Imran Khan. "The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work." Global Social Sciences Review VIII, no. II (2023): 463-479. https://doi.org/10.31703/gssr.2023(VIII-II).43