Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

The Role of Learning Digital Systems in Improving Employee Productivity

Document Type : Original Article

Author
Professor of the Faculty of Economics of Balkh University and PhD student of Abdul Khalil State University (Kolmyk) of the Russian
Abstract
In the contemporary competitive landscape, organizational productivity stands out as the paramount objective, rooted in a philosophy and approach dedicated to refining strategies. The pursuit of productivity is envisioned as an overarching principle that must seamlessly permeate every sector of society, akin to an interconnected chain. Governments, facing the formidable challenge of optimizing productivity, grapple with the task of establishing comprehensive systems grounded in technology and information, extending to encompass human development programs. The study, a descriptive and applied investigation, casts a wide net over all public office personnel within Balkh Province. The findings illuminate the prevailing composition of government workers, encompassing 110 individuals with 41 Bachelor's degrees, 59 Bachelor's degrees, 8 Master's degrees, and one Doctorate degree. Employing a 25-question questionnaire with an alpha value of 0.82, indicative of good reliability, the study delves into the perspectives of respondents. According to their views, effective factors in corporate training include the integration of computers in the curriculum, substantial investment in enhancing employee capabilities, and the organization of training workshops. These insights contribute to a comprehensive understanding of the dynamics influencing productivity in the given organizational context.
Keywords

  • Nelson, B. (2018). 1,001 ways to engage employees: help people do better what they do best. Red Wheel/Weiser.
  • Odden, A., & Clune, W. (1995). Improving educational productivity and school finance. Educational Researcher (Washington, D.C.: 1972), 24(9), 6–22. doi:10.3102/0013189x024009006
  • Hrastinski, S. (2008). Asynchronous and synchronous e-learning. Educause quarterly, 31(4), 51-55.
  • Ferguson, N., Laydon, D., Nedjati-Gilani, G., Imai, N., Ainslie, K., Baguelin, M., ... Ghani, A. (2020). Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand.
  • Ekhtesasi, M., Jafari, M., & Fatahi Ardakani, A. (2020). Economic Prioritization of Watershed Management Projects Based on the Impact on Water, Soil and Plant Resources. Journal of watershed management research.
  • Marugán, A. P. (2018). Optimal Productivity in Solar Power Plants Based on Machine Learning and Engineering Management. Proceedings of the Twelfth International Conference on Management Science and Engineering Management.
  • Kumar, A., Rana, K., Choudhary, A., Bana, R., Sharma, V., Gupta, G., ... Kumar, K. (2022). Sole- or Dual-Crop Basis Residue Mulching and Zn Fertilization Lead to Improved Productivity, Rhizo-modulation and Soil Health in Zero-Tilled Pigeonpea–Wheat Cropping System. Journal of Soil Science and Plant Nutrition, 22, 1193-1214.
  • Zhu, Minglu., He, Tianyiyi., & Lee, Chengkuo. (2020). Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems. Applied Physics Reviews . http://doi.org/10.1063/5.0016485
  • Malik, A.., Budhwar, P.., Mohan, Hrishi., & R., Srikanth N.. (2022). Employee experience –the missing link for engaging employees: Insights from an MNE 's AI ‐based HR ecosystem. Human Resource Management . http://doi.org/10.1002/hrm.22133
  • Gamrat, Chris., Zimmerman, H.., Dudek, Jaclyn., & Peck, Kyle L.. (2014). Personalized workplace learning: An exploratory study on digital badging within a teacher professional development program. Br. J. Educ. Technol. , 45 , 1136-1148 . http://doi.org/10.1111/bjet.12200
  • Patel, Pankaj C.., & Conklin, B.. (2012). Perceived Labor Productivity in Small Firms—The Effects of High–Performance Work Systems and Group Culture through Employee Retention. Entrepreneurship Theory and Practice , 36 , 205 - 235 . http://doi.org/10.1111/j.1540-6520.2010.00404.x
  • Aboelmaged, M.. (2018). Knowledge sharing through enterprise social network (ESN) systems: motivational drivers and their impact on employees' productivity. J. Knowl. Manag. , 22 , 362-383 . http://doi.org/10.1108/JKM-05-2017-0188
  • Khan, Nasreen., Sarwar, Abdullah., Chen, T. B.., & Khan, Shereen. (2022). Connecting digital literacy in higher education to the 21st century workforce. Knowledge Management & E-Learning: An International Journal . http://doi.org/10.34105/j.kmel.2022.14.004
  • Burnett, J.., & Lisk, T.. (2019). The Future of Employee Engagement: Real-Time Monitoring and Digital Tools for Engaging a Workforce. International Studies of Management & Organization , 49 , 108 - 119 . http://doi.org/10.1080/00208825.2019.1565097
  • Elliott, Karen., Price, Robert., Shaw, Patricia., Spiliotopoulos, Tasos., Ng, Magdalene., Coopamootoo, Kovila P. L.., & Moorsel, A. van. (2021). Towards an Equitable Digital Society: Artificial Intelligence (AI) and Corporate Digital Responsibility (CDR). Society , 58 , 179 - 188 . http://doi.org/10.1007/s12115-021-00594-8
Volume 5, Issue 2
Spring 2023
Pages 63-70

  • Receive Date 13 March 2023
  • Revise Date 06 April 2023
  • Accept Date 23 May 2023