A System Approach: Model Development of Employee Engagement Factors Which Impact an Organization's Productivity

Seyed A. Zahraei^1, and Richard Pitts Jr.¹

¹Department of Industrial and Systems Engineering, Morgan State University, Baltimore, Maryland 21251, USA

Cite this paper:
Seyed A. Zahraei and Richard Pitts Jr.. A System Approach: Model Development of Employee Engagement Factors Which Impact an Organization's Productivity. American Journal of Industrial Engineering. 2020; 7(1):26-32. doi: 10.12691/ajie-7-1-4

Abstract

In recent years, the global employment market has been subject to a growing body of theories in favor of allocating resources in both an instructive and applicable structure as to meet an increased trend in employee workplace commitment and productivity. Such theories propose that an unhealthy working environment may cause employee disengagement. It is implied that disengagement rates among employees result in lower rates of productivity and profitability. As such, it is of no surprise that this topic is viewed as one of the most controversial matters among accredited companies and organizations. On closer examination, with the help of the Gallup Employee Engagement Hierarchy pyramid, this paper will break down how distinguished and imperative factors such as workforce engagement, feelings of trust and happiness, and commitment to the workplace environment will bring about improvement, growth, and productivity to a company or organization. This qualitative description study involves exploring employee engagement strategies that have been used within Toyota Production Systems (TPS) to implement programs which have encouraged and contributed towards solving employee engagement issues within the organization. The conceptual framework of the study will utilize employee-focused design theory. The major purpose of this research is to conduct statistical analysis and evaluate the organizational productivity level, as well as how it is affected by the engagement of employees. More importantly, this research will determine if there is any correlation between engagement and productivity.

Keywords:
healthy environment workplace employee engagement and productivity trust and happiness Toyota Production System (TPS) employee-focused design theory statistical analysis of organizational productivity gamification

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References:

[1]	Womack, J. P., Jones D. T., Roos D. (1990). The machine that changed the world: The story of lean production, 2007 updated edition, Free Press, USA, 2007.
[2]	Pay, R. (2008). Everybody’s jumping on the lean bandwagon, but many are being taken for a ride. Industry Week.
[3]	Saito, K., Salazar, A. J., Kreafle, K. G., & Grulke, E. A. (2011). Hitozukuri and monozukuri: Centuries’ old eastern philosophy to seek harmony with nature. Interdisciplinary Information Sciences, 17(1), 1–9. https://doi.org/10.4036/iis.2011.1
[4]	Saito, K. (1995). Kufu: Foundations of employee empowerment and kaizen. In K. Saito, Principles of Continuous Learning Systems. New York: McGraw-Hill.
[5]	Mphanty, R. P., Yadav, O. P., & Jain, R. (2007). Implementation of lean manufacturing principles in auto industry. XIMB Journal of Management, 1–32.
[6]	Hines, P., Holweg, M., & Rich, N. (2004). Learning to evolve. International Journal of Operations & Production Management, 24(10), 994-1011.
[7]	Ōno, T., & Mito, S. (1988). Just-in-Time for today and tomorrow. Cambridge, Mass.: Productivity Press.
[8]	Fisher, C. D. (2010). Happiness at work. International Journal of Management Reviews, 12(4), 384-412.
[9]	Wright, T. A., Larwood, L., & Denney, P. J. (2002). The different ‘faces’ of happiness-unhappiness in organizational research: Emotional exhaustion, positive affectivity, negative affectivity and psychological well-being as correlates of job performance. Journal of Business and Management, 8(2), 109-126.
[10]	Gavin, J. H., & Mason, R. O. (2004). The virtuous organization: The value of happiness in the workplace. Organizational Dynamics, 33(4), 379-392.
[11]	Pryce-Jones, J. (2010). Happiness at work: Maximizing your psychological capital for success. Oxford, OX4: Wiley-Blackwell.
[12]	Salas-Vallina, A., Alegre, J., & Fernandez, R. (2017). Happiness at work and organizational citizenship behavior. International Journal of Manpower, 38(3), 470-488.
[13]	Krekel, C., Ward, G., & Neve, J.-E. D. (2019). Employee wellbeing, productivity, and firm performance. SSRN Electronic Journal.
[14]	Rego, A., & Cunha, M. P. E. (2008). Authentizotic climates and employee happiness: Pathways to individual performance? Journal of Business Research, 61(7), 739-752.
[15]	Saunders, M. N. K., & Thornhill, A. (2003). Organisational justice, trust and the management of change. Personnel Review, 32(3), 360-375.
[16]	Deconinck, J. B. (2010). The effect of organizational justice, perceived organizational support, and perceived supervisor support on marketing employees' level of trust. Journal of Business Research, 63(12), 1349-1355.
[17]	Maginnis, M. A. (2012). The development of a predictive probability model for effective continuous learning and improvement (dissertation). https://uknowledge.uky.edu/me_etds/2.
[18]	Zhu, Z., Meredith, P. H., & Makboonprasith, S. (1994). Defining critical elements in JIT implementation. Industrial Management & Data Systems, 94(5), 3-10.
[19]	Noe, R. (2017). Employee training and development. New York, NY: McGraw Hill Education. ISBN: 978-0078112850. Human Resource Development Quarterly.
[20]	Sicart, M. (2009). The Ethics of computer games. The Ethics of Computer Games, 107-150.
[21]	Deterding, S. (2012). Gamification. Interactions, 19(4), 14.
[22]	Robson, K., Plangger, K., Kietzmann, J. H., Mccarthy, I., & Pitt, L. (2016). Game on: Engaging customers and employees through gamification. Business Horizons, 59(1), 29-36.
[23]	Webb, E. N. (2013). Gamification: When it works, when it doesn’t. design, user experience, and usability. Health, Learning, Playing, Cultural, and Cross-Cultural User Experience Lecture Notes in Computer Science, 608-614.
[24]	Gupta, A., & S., G. (2017). A review on gamification and its potential to motivate and engage employees and customers. International Journal of Sociotechnology and Knowledge Development, 9(1), 42-52.
[25]	Poth, A., Sasabe, S., & Mas, A. (2017). Lean and agile software process improvement - An overview and outlook. Communications in Computer and Information Science Systems, Software and Services Process Improvement, 471-485.
[26]	ISO 10018:2012. ISO. (2020, April 7). https://www.iso.org/standard/46233.html.
[27]	Carvalho, A. M., Sampaio, P., Rebentisch, E., Carvalho, J. Á., & Saraiva, P. (2017). Operational excellence, organizational culture and agility: The missing link? Total Quality Management & Business Excellence, 30(13-14), 1495-1514.
[28]	Mountain sickness and employee engagement. (2015, September 14). Multunus. Retrieved August 29, 2020 from http://www.multunus.com/blog/2015/09/employee-engagement-moving-part-2/.
[29]	Gallup (Trans.). (2016, April 6). Employee Engagement elements for success. One Clear Message. http://www.oneclearmessage.co.za/communication- articles/employee-engagement/.
[30]	Ersoy, A., & Ehtiyar, R. (2017). Happiness at Work. Developments in Social Sciences, 32, 375-386.
[31]	Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed method approaches. Sage.
[32]	Laurent, G. (2000). Improving the external validity of marketing models: International Journal of Research in Marketing, 17(2-3), 177-182.
[33]	Deshpande, R. (1983). Paradigms lost: On theory and method in research in marketing. Journal of Marketing, 101-110.
[34]	Srnka, K. J., & Koeszegi, S. T. (2007). From words to numbers: How to transform qualitative data into meaningful quantitative results. Schmalenbach Business Review, 59(1), 29-57.
[35]	Nhuchhen, D. R., & Salam, P. A. (2012). Estimation of higher heating value of biomass from proximate analysis: A new approach. Fuel, 99, 55-63.
[36]	Nhuchhen, D. R. (2016). Prediction of carbon, hydrogen, and oxygen compositions of raw and torrefied biomass using proximate analysis. Fuel, 180, 348-356.
[37]	Qian, X. (2019). Statistical analysis for parametric optimization of gas turbine-steam turbine combined power cycle with different natural gas combustion. International Journal of Recent Technology and Engineering Regular Issue, 8(4), 4563-4570.
[38]	Moka, V. K. (2012). Estimation Of Calorific Value Of Biomass From Its Elementary Components By Regression Analysis (dissertation). Rourkela, NIT.
[39]	Montgomery, D. C. (2017). Design and analysis of experiments. John Wiley & Sons, Inc.
[40]	Irigaray, D., Dufrechou, E., Pedemonte, M., Ezzatti, P., & López-Vázquez, C. (2020). Accelerating the calculation of Friedman Test tables on many-core processors. Communications in Computer and Information Science High Performance Computing, 122-135.