A Systematic Review on Application of AI in Telecom Industry

Authors

  • Mukesh Chand Gupta Research Scholar, JECRC University, Jaipur, Rajasthan, India
  • Ruchi Goyal Professor & Head of Department (BBA) School of Business Studies, JECRC University, Jaipur, Rajasthan, India

Keywords:

Artificial Intelligence, Telecom Industry, Employee performance, Organizational effectiveness

Abstract

Practices for performance reviews are very important for improving the efficiency of businesses and the work of their employees in many fields. With the rise of artificial intelligence (AI), standard ways of evaluating performance are changing in big ways, especially in the telecoms business. The goal of this thorough study is to look into how performance review methods are used across industries, with a focus on how AI is used in the telecom industry.A thorough screening process is used to choose articles that meet certain criteria for inclusion. This leads to a final group of 45 studies that will be analyzed.In the telecom industry, AI technologies like machine learning, natural language processing, and predictive analytics are being used more and more in performance reviews to make decisions easier and handle employees better.The review also talks about some of the benefits of performance review systems that use AI, such as real-time feedback, individual growth plans, and data-driven insights that help managers make decisions. The review also finds holes in the current research, like the fact that there isn't a lot of real-world data on how AI affects employee success and business results in the telecom industry over the long term. It is suggested that more study be done to fill in these gaps and find out how AI-driven performance reviews affect how well a company works, how happy its workers are, and how to handle human resources strategically in the fast-paced world of telecommunications and other industries.

Downloads

Download data is not yet available.

References

M. N. Dandale, M. C. V. L. L. K. Kumari, Z. A. S. Mulla, H. B. Kamble, M. Rajeswari and S. Rudresh, "Performance Management and HR Appraisal System based on a Framework of BERT-BiGRUCNN- A Approach," 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2023, pp. 415-420, doi: 10.1109/ICACRS58579.2023.10405361.

T. Rahman and S. K. Paul, "Evaluating Environmental Sustainability Performance in Healthcare Supply Chains Under Demand Surges," 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore, 2023, pp. 0426-0430, doi: 10.1109/IEEM58616.2023.10406760.

Y. Zhou, J. Sun, G. Li and L. Liu, "The Application of BP Neural Network Algorithm in the Performance Evaluation of College Teachers," 2023 Third International Conference on Digital Data Processing (DDP), Luton, United Kingdom, 2023, pp. 18-23, doi: 10.1109/DDP60485.2023.00014.

L. Li, "Research on Performance Appraisal System Based on Process Management," 2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, China, 2017, pp. 221-224, doi: 10.1109/ICICTA.2017.56.

Z. A. Putri, A. Effendi and M. Simanjuntak, "Analysis and Design of Appraisal Performance Information System (Case Study: PT. XYZ)," 2021 International Conference on Information Management and Technology (ICIMTech), Jakarta, Indonesia, 2021, pp. 840-844, doi: 10.1109/ICIMTech53080.2021.9535038.

N. Sooraksa and P. Sooraksa, "Hybrid Fuzzy-Conventional Method to Improve 360-Degree Performance Appraisal," 2016 International Symposium on Computer, Consumer and Control (IS3C), Xi'an, China, 2016, pp. 41-44, doi: 10.1109/IS3C.2016.21.

I. -L. Yen, F. Bastani, Y. Huang, Y. Zhang and X. Yao, "SaaS for Automated Job Performance Appraisals Using Service Technologies and Big Data Analytics," 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, USA, 2017, pp. 412-419, doi: 10.1109/ICWS.2017.47.

M. Zhang, "Intelligent Design of Performance Appraisal System for Middle Managers of Intelligent Organizations based on Python," 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India, 2022, pp. 1483-1486, doi: 10.1109/ICECAA55415.2022.9936440.

Ajani, S. N. ., Khobragade, P. ., Dhone, M. ., Ganguly, B. ., Shelke, N. ., &Parati, N. . (2023). Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 546–559

F. d. Kartikasari, S. Limanto and N. c. Puspita, "Integrated Performance Appraisal System with Management by Objective Method," 2022 International Conference on Informatics Electrical and Electronics (ICIEE), Yogyakarta, Indonesia, 2022, pp. 1-7, doi: 10.1109/ICIEE55596.2022.10010037.

C. Hao-Nan and Z. Cai-Ming, "Research on Performance Appraisal Method of Grass Roots Staff in the Perspective of Complex Big Data," 2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI), Harbin, China, 2020, pp. 497-502, doi: 10.1109/IAAI51705.2020.9332888.

Y. Zhang and S. Yang, "The application of genetic algorithm and fuzzy evaluation method in Teachers' performance appraisal," 2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs), Nicosia, Cyprus, 2022, pp. 578-582, doi: 10.1109/AIoTCs58181.2022.00123.

N. Berber, B. Đorđević and S. Milanović, "Electronic human resource management (e-HRM): A new concept for digital age", Strateg. Manag., vol. 23, no. 2, pp. 22-32, 2018.

J. E. Delery and D. Roumpi, "Strategic human resource management human capital and competitive advantage: is the field going in circles?", Hum. Resour. Manag. J., vol. 27, no. 1, pp. 1-21, 2017.

T. Bondarouk, E. Parry and E. Furtmueller, "Electronic HRM: four decades of research on adoption and consequences", Int. J. Hum. Resour. Manag., vol. 28, no. 1, pp. 98-131, 2017.

D. L. Stone, D. L. Deadrick, K. M. Lukaszewski and R. Johnson, "The influence of technology on the future of human resource management", Hum. Resour. Manag. Rev., vol. 25, no. 2, pp. 216-231, 2015.

P. De Prins, L. Van Beirendonck, A. De Vos and J. Segers, "Sustainable HRM: Bridging theory and practice through the ‘respect openness continuity (ROC)’-model", Manag. Rev., vol. 25, no. 4, pp. 263-284, 2014.

J. Macke and D. Genari, "Systematic literature review on sustainable human resource management", J. Clean. Prod., vol. 208, pp. 806-815, 2019.

M. Strenitzerová and K. Achimský, "Employee satisfaction and loyalty as a part of sustainable human resource management in postal sector", Sustain., vol. 11, no. 17, 2019.

R. Kazlauskaite and I. Bučiuniene, "The role of human resources and their management in the establishment of sustainable competitive advantage", Eng. Econ., vol. 5, no. 60, pp. 78-84, 2008.

S. Lorincová, M. Hitka, P. Štarchoň and K. Stachová, "Strategic instrument for sustainability of human resource management in small and medium-sized enterprises using management data", Sustain., vol. 10, no. 10, 2018.

N. Jankelova, Z. Joniakova, J. Blstakova and I. Nemethova, "Readiness of human resource departments of agricultural enterprises for implementation of the new roles of human resource professionals", Agric. Econ. (Czech Republic), vol. 63, no. 10, pp. 461-470, 2017.

M. Civelek, A. Ključnikov, J. Dobrovič and M. Hudakova, "A model of measurement of the quality of business environment in SME segment", J. Int. Stud., vol. 9, no. 2, pp. 90-102, 2016.

M. Chatzopoulou, A. Vlachvei and T. Monovasilis, "Employee’s Motivation and Satisfaction in Light of Economic Recession: Evidence of Grevena Prefecture-Greece", Procedia Econ. Financ., vol. 24, no. July, pp. 136-145, 2015.

S. Kraus, J. Burtscher, T. Niemand, N. Roig-Tierno and P. Syrjä, "Configurational paths to social performance in SMEs: The interplay of innovation sustainability resources and achievement motivation", Sustain., vol. 9, no. 10, 2017.

A. Kucharčíková and M. Mičiak, "Human capital management in transport enterprises with the acceptance of sustainable development in the Slovak Republic", Sustain., vol. 10, no. 7, 2018.

S. Schaltegger and R. Burritt, "Business cases and corporate engagement with sustainability: Differentiating ethical motivations", J. Bus. Ethics, vol. 147, no. 2, pp. 241-259, 2018.

J. Y. Yong, M. Y. Yusliza, T. Ramayah, C. J. ChiappettaJabbour, S. Sehnem and V. Mani, "Pathways towards sustainability in manufacturing organizations: Empirical evidence on the role of green human resource management", Bus. Strateg. Environ., vol. 29, no. 1, pp. 212-228, 2020.

J. M. Moneva and J. Hernández-Pajares, "Corporate social responsibility performance and sustainability reporting in SMEs: An analysis of owner-managers’ perceptions", Int. J. Sustain. Econ., vol. 10, no. 4, pp. 405-420, 2018.

M. Järlström, E. Saru and S. Vanhala, "Sustainable Human Resource Management with Salience of Stakeholders: A Top Management Perspective", J. Bus. Ethics, vol. 152, no. 3, pp. 703-724, 2018.

A. M. Rawashdeh, "The impact of green human resource management on organizational environmental performance in Jordanian health service organizations", Manag. Sci. Lett., vol. 8, no. 10, pp. 1049-1058, 2018.

H. Gholami, G. Rezaei, M. Z. M. Saman, S. Sharif and N. Zakuan, "State-of-the-art Green HRM System: Sustainability in the sports center in Malaysia using a multi-methods approach and opportunities for future research", J. Clean. Prod., vol. 124, pp. 142-163, 2016.

S. C. Nayak, B. B. Misra and H. S. Behera, "Impact of Data Normalization on Stock Index Forecasting", Int. J. Comput. Inf. Syst. Ind. Manag. Appl., vol. 6, no. 2014, pp. 257-269, 2014.

L. Khedher, J. Ramírez, J. M. Górriz, A. Brahim and F. Segovia, "Early diagnosis of Alzheimer’s disease based on partial least squares principal component analysis and support vector machine using segmented MRI images", Neurocomputing, vol. 151, no. P1, pp. 139-150, 2015.

Downloads

Published

24.03.2024

How to Cite

Gupta, M. C. ., & Goyal, R. . (2024). A Systematic Review on Application of AI in Telecom Industry. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 654–666. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5110

Issue

Section

Research Article