Will Artificial Intelligence Compliment or Supplement Human Workforce in Organizations? A Shift to a Collaborative Human – Machine Environment

Authors

  • Radhika Kapoor Department of Management, Poornima University, Jaipur 303905, India
  • Indrajit Ghosal Department of Faculty of Computer Science & Engineering, Poornima University, Jaipur 303905, India

DOI:

https://doi.org/10.31674/ijrtbt.2022.v06i04.002

Abstract

Introduction: Artificial Intelligence (AI) is impacting organizations worldwide in the post-covid era, especially service-oriented firms that are attempting to automate most processes. We have observed a significant effect on business consulting businesses that use AI to automate all operational processes and boost employee efficiency by using them for strategic decision-making. This study examines the overall impact of AI on organizations and the human workforce to determine if automation of business processes will eventually replace employees or work more collaboratively, paving the way for more technology jobs soon.

 

Methodology: This study is a conceptual effort to integrate several streams of literature and papers published in the last 3 years in recognized journals such as Web of Science, Scopus, Science Direct, and ABDC to present an overview of AI-led robo-consultants and employees in the business consulting domain.

 

Results: It is predicted that AI will automate some unskilled jobs, but also generate new jobs that require new skill sets. Hence, it is predicted that AI cannot replace humans rather lead to a workplace evolution by working in collaboration with employees being spearheaded by them. In business consulting domain, automation would take up all repetitive tasks including, reporting, invoicing, payment reminders, etc. so that employees can focus on more strategic tasks like client interaction, financial planning and complex decision making. However, it wouldn't lead to the elimination of human jobs, rather create a shift in employer perspective to achieve a balanced human-machine sync.

 

Keywords:

Artificial Intelligence, AI in Business, Human-machine Collaboration, Post-pandemic Business Landscape, Business Consulting, Consulting Firms

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References

Alexandre, C., Blanckaert, L. & Belleflamme (2020). The Influence of Artificial Intelligence on the Consulting Industry. Louvain School of Management, Université catholique de Louvain.

Anute, B. N. & Paliwal, M. (2021). Impact of artificial intelligence and machine learning on business operation. Journal of Management Research and Analysis, 8(2), 69-74. https://doi.org/10.18231/j.jmra.2021.015

Basu, S., Anwar, M. R., Ghosal, I., & Ghosh, R. (2021). A Review on Effect of Social Marketing during COVID-19 in India. Pacific Business Review International, 14(5), 96-102.

Divatia, A. S., Tikoria, J., & Lakdawala, S. (2021). Emerging trends and impact of business intelligence & analytics in organizations: Case studies from India. Business Information Review, 38(1), 40-52. https://doi.org/10.1177/0266382120969265

Fleming, P. (2019). Robots and organization studies: Why robots might not want to steal your job. Organization Studies, 40(1), 23-38. https://doi.org/10.1177/0170840618765568

Ghosal, I., Prasad, B., & Behera, M. P. (2020). Delineating the exchange environment of handicraft industry from market space to marketplace: An inclusive map for RURBAN development. Paradigm, 24(2), 133-148. https://doi.org/10.1177/0971890720959533

Ghosal, I., Prasad, B., Behera, M. P., & Kumar, A. (2021). Depicting the Prototype Change in Rural Consumer Behaviour: An Empirical Survey on Online Purchase Intention. Paradigm, 25(2), 161-180. https://doi.org/10.1177/09718907211029030

Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459

Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting employees: Upskilling for artificial intelligence in multinational corporations. The International Journal of Human Resource Management, 33(6), 1179-1208. https://doi.org/10.1080/09585192.2021.1891114

Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, Elsevier, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007

John, M. M., Olsson, H. H., & Bosch, J. (2021). Towards an AI‐driven business development framework: A multi‐case study. Journal of Software: Evolution and Process, Wiley, e2432. https://doi.org/10.1002/smr.2432

Langer, M., & Landers, R. N. (2021). The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Computers in Human Behavior, 123(C), 106878. https://doi.org/10.1016/j.chb.2021.106878

Madakam, S., Holmukhe, R. M., & Jaiswal, D. K. (2019). The future digital work force: robotic process automation (RPA). JISTEM-Journal of Information Systems and Technology Management, 16. https://doi.org/10.4301/S1807-1775201916001

Malhotra, A. (2021). The Postpandemic future of work. Journal of Management, 47(5), 1091-1102. https://doi.org/10.1177/01492063211000435

Paliwal, M., Patel, M., Kandale, N., & Anute, N. (2021). Impact of artificial intelligence and machine learning on business operations. Journal of Management Research and Analysis, 8(2), 70-75.

Prasad, B., & Ghosal, I. (2021). Forecasting Buying Intention Through Artificial Neural Network: An Algorithmic Solution on Direct-to-Consumer Brands. FIIB Business Review, 0(0). https://doi.org/10.1177/23197145211046126

Sarkar, M. D., & Ghosal, I. (2018). Impact of social media in small business industry: a study on Facebook. International Journal on Recent Trends in Business and Tourism (IJRTBT), 2(3), 33-39.

Strack, R., Carrasco, M., Kolo, P., Nouri, N., Priddis, M., & George, R. (2021). The Future of Jobs in the Era of AI. Boston Consulting Group.

Willcocks, L. (2020). Robo-Apocalypse cancelled? Reframing the automation and future of work debate. Journal of Information Technology, 35(4), 286-302. https://doi.org/10.1177/0268396220925830

Published

01-10-2022

How to Cite

Kapoor, R., & Ghosal, I. (2022). Will Artificial Intelligence Compliment or Supplement Human Workforce in Organizations? A Shift to a Collaborative Human – Machine Environment. International Journal on Recent Trends in Business and Tourism (IJRTBT), 6(4), 19-28. https://doi.org/10.31674/ijrtbt.2022.v06i04.002

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