Submitted:
27 August 2025
Posted:
29 August 2025
Read the latest preprint version here
Abstract

Keywords:
1. Introduction
2. Determinants of Productivity
3. Productivity, its Categorisation, Ambition, and Choice of Actions:
- Individual factors: i.e., skills, competence, task habits, etc.
- Endogenous factors: intelligence, focus, willpower, etc.
- Exogenous/environmental factors: economic conditions, market trends, technology and socio-cultural factors,
- Organisational factors: incentives, perks, leadership, work environment, management practice, work culture, technology adoption, communication network, etc.
- Task-related factors: complexity of the work, goals, autonomy, positive work culture, innovation, etc.
- Motivational factors: “intrinsic” and “extrinsic” motivational factors (Maslow, 1943; Thomas, 2009), enthusiasm to work, willingness, positive feedbacks, recognition and appraisal, promotions, career growth, sense of belonging, workforce support for wellbeing, salary, bonus and other non-pecuniary incentives, etc.
4. The Core of Productive Essence
5. Role of Motivation in Shaping Human Productivity

6. Motivation: Is it a Force more Potent than Action?
7. Ideas Fuelling Human Productivity
| Lumalabs.ai Perplexity.ai Gamma.app |
| Magicslides Pika.art Krea.ai |
| Adcreative.ai florafauna.ai lumen5 |
| Writesonic Zapier Dectopus |
| Great Headlines emergent.sh itx.studio |
| Chatgpt.com Simplified AI |
The Limits of Intelligence
8. Conclusions
Acknowledgments
References
- Abbas, S. A. , Kusumawardani, Z. N., Suprayitno, N. F., & Jafar, N. Driving Factors of Motivation and Its Contribution to Enhance Performance. Innovative: Journal Of Social Science Research, 2023, 3, 7266–7280. [Google Scholar]
- Ahmad, S. , Wong, W. K., Riaz, S., & Iqbal, A. The role of employee motivation and its impact on productivity in modern workplaces while applying human resource management policies. Arabian Journal of Business and Management Review (Kuwait Chapter), 2024, 13, 7–12. [Google Scholar]
- Al Naqbi, H. , Bahroun, Z. , & Ahmed, V. Enhancing work productivity through generative artificial intelligence: A comprehensive literature review. Sustainability, 2024, 16, 1166. [Google Scholar]
- Brynjolfsson, E.; Rock, D.; Syverson, C. Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics. In The Economics of Artificial Intelligence: An Agenda; University of Chicago Press: Chicago, IL, USA, 2018; pp. 23–57. [Google Scholar]
- Cao, B. , Li, Z. , & Jiang, L. C. When chatbots make errors: Cognitive and affective pathways to understanding forgiveness of chatbot errors. Telematics and Informatics, 2024, 94, 102189. [Google Scholar]
- Chatterjee, S. Managing Constraints and Removing Obstacles to Knowledge Management. IUP Journal of Knowledge Management, 2014, 12.
- Choi, W. C. , Lam, L. C., Chang, C. I., & Jie, F. X. (2025). How Economics Shapes Life and Business. Preprints. [CrossRef]
- Desai, M. The psychology of inspiration: its impact on creative processes. Shodh Sagar Journal of Inspiration and Psychology, 2024, 1, 36–41. [Google Scholar]
- Edwards, W. The theory of decision making. Psychological bulletin, 1954, 51, 380. [Google Scholar] [CrossRef] [PubMed]
- Ekwueme, F. , Areji, A. , & Ugwu, A. Beyond the Fear of Artificial Intelligence and Loss of Job: a Case for Productivity and Efficiency. Qeios. July, 2023, 24, 2023. [Google Scholar]
- Gao, X. , & Feng, H. AI-driven productivity gains: Artificial intelligence and firm productivity. Sustainability, 2023, 15, 8934. [Google Scholar]
- Growiec, J. What will drive global economic growth in the digital age? . Studies in Nonlinear Dynamics & Econometrics, 2023, 27, 335–354. [Google Scholar]
- Herrera, T. F. , De la Hoz Granadillo, E. , & Gómez, J. M. Productivity and its factors: impact on organizational improvement. Dimensión empresarial, 2018, 16, 47–60. [Google Scholar]
- Ilesanmi, O. A. (2016). Role of motivation in enhancing productivity in Nigeria. behaviour, 8.
- Kahneman, D. , & Lovallo, D. Timid choices and bold forecasts: A cognitive perspective on risk taking. Management science, 1993, 39, 17–31. [Google Scholar]
- Kuklys, W. (2005). Amartya Sen’s capability approach: Theoretical insights and empirical applications. Berlin, Heidelberg: Springer Berlin Heidelberg.
- Leoni, R. (2013). Organization of work practices and productivity: an assessment of research on world–class manufacturing. In A. Grandori (Ed.), Handbook of economic organization. Integrating economic and organization theory (pp. 312–334). Edward Elgar.
- Lovell, C. A. K. (1993). Production Frontier and Productive Efficiency" The Measurement of Productive Efficiency, Oxford University Press.
- Maslow, A. H. (1943). “The Theory of Human Motivation” Psychological Review, 506. [CrossRef]
- Mustafakulova, S. , Asrorova, A., & Ibragimov, K. (2024). How to Improve Employee Motivation and Productivity.
- Pashkevich, N. , & Haftor, D. Complementarities of knowledge worker productivity: Insights from an online experiment of software programmers with innovative cognitive style. Contemporary Economics, 14, 2020, 236-253.
- Rayhan, A. , & Rayhan, S. (2023). Quantum Computing and AI: A Quantum Leap in Intelligence. AI Odyssey: Unraveling the Past, Mastering the Present, and Charting the Future of Artificial Intelligence, 424.
- Rhode, D. L. (2021). Ambition: For What?. Oxford University Press.
- Roberts, J. (2007). The modern firm: Organizational design for performance and growth. Oxford University Press.
- Sabir, A. Motivation: Outstanding way to promote productivity in employees. American Journal of Management Science and Engineering, 2017, 2, 35–40. [Google Scholar] [CrossRef]
- Sapkota, R. , Roumeliotis, K. I., & Karkee, M. (2025). Vibe coding vs. agentic coding: Fundamentals and practical implications of agentic ai. arXiv:2505.19443.
- Siebers, P. O. , Aickelin, U., Battisti, G., Celia, H., Clegg, C., Fu, X.,... & Peixoto, A. (2008). Enhancing productivity: the role of management practices. Submitted to International Journal of Management Reviews, Forthcoming.
- Srivastava, S. K. , & Barmola, K. C. (2011). Role of motivation in higher productivity. Management Insight, 7, 63-82. Uka, A., & Prendi, A. Motivation as an indicator of performance and productivity from the perspective of employees. Management & Marketing, 2021, 16, 268–285. [Google Scholar]
- Stafford, F. P. , & Cohen, M. S. A model of work effort and productive consumption. Journal of Economic Theory, 1974, 7, 333–347. [Google Scholar]
- Syverson, C. What determines productivity? . Journal of Economic literature, 2011, 49, 326–365. [Google Scholar] [CrossRef]
- Tan, A. , Jiang, C., & Zhu, Y. (2024, May). To Err is Bot, Not Human: Asymmetric Reactions to Chatbot Service Failures. In Wuhan International Conference on E-business (pp. 396-407). Cham: Springer Nature Switzerland.
- Thomas, K. T. (2009) “Intrinsic Motivation at Work: What Really Drives Employee Engagement” 2nd edition, Berrett-Koehler Store.
- Tversky, A. , Kahneman, D., & Slovic, P. (1982). Judgment under uncertainty: Heuristics and biases (pp. 3-20).
- Uka, A. , & Prendi, A. Motivation as an indicator of performance and productivity from the perspective of employees. Management & Marketing, 2021, 16, 268–285. [Google Scholar]
- Witt, S. J. , & Cunningham, W. R. Cognitive speed and subsequent intellectual development: A longitudinal investigation. Journal of Gerontology, 1979, 34, 540–546. [Google Scholar]
- Yoo, S. Comparison of artificial intelligence and human motivation. Technium Soc. Sci. J., 2021, 25, 345. [Google Scholar] [CrossRef]
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