Exploring leadership factors creating employee engagement or disengagement across job grade categories at a public higher education institution in South Africa
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Author(s)Anrusha BhanaLink to ORCID Index: https://orcid.org/0000-0001-5577-6728
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Sachin SuknunanLink to ORCID Index: https://orcid.org/0000-0002-7296-8059
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DOIhttp://dx.doi.org/10.21511/ppm.19(1).2021.27
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Article InfoVolume 19 2021, Issue #1, pp. 317-327
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- 1268 Views
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423 Downloads
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Creative Commons Attribution 4.0 International License
Ongoing difficulties in promoting employee commitment confront the domain of higher education, hence, the importance of staff to help achieve institutional goals grows. For this to happen, employee engagement is key. This paper examined the issues of engagement or disengagement amongst employees, including job grades and the factors influencing this, at Durban University of Technology, South Africa. It adopted a quantitative and qualitative method of inquiry. The quantitative data collection targeted 420 employees utilizing questionnaires and obtained a response rate of 312 (74%). The qualitative aspect involved interviewing 12 out of 18 leadership personnel, giving a response rate of 67%. Also, descriptive and inferential analysis was used. Internal employee engagement demonstrated a significant difference across job level categories, F (4, 307) = 4.012, p = 0.003. There is also a significant difference in agreement mean score, which is lower for lecturer grade level (M = 2.5257, SD = 1.08359) than middle manager grade level (M = 3.2909, SD = 0.82396), showing that lecturer grade level is more engaged as compared to the middle manager level reflecting that the this level is not as engaged as it should be. Obtained qualitative results showed that there was minimal employee engagement. Overall, there was more employee disengagement than engagement at the institution, leading to employee stress, increased employee turnover, and minimal employee productivity. This can, in turn, affect institutional productivity. However, leadership viewed employee engagement as important and something to be further developed.
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JEL Classification (Paper profile tab)I23, M14, J24, J28
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References46
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Tables3
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Figures0
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- Table 1. Employee engagement items
- Table 2. Pattern matrix for employee engagement constructs
- Table 3. ANOVA results for two measures across job grade category
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- Barkhuizen, E. N., Rothmann, S., & Tytherleigh, M. Y. (2004). Burnout of academic staff in an HEI. Paper presented at the Second South African Work Wellness Conference. Potchefstroom, South Africa.
- Barkhuizen, E. N., & Rothmann, S. (2008). Occupational stress of academic staff in SAHE institutions. South African Journal of Psychology, 38(2), 321-336.
- Basikin, B. (2007). Vigor, dedication and absorption: Work engagement among secondary school English teachers in Indonesia. Paper presented at the AARE Conference. Fremantle, Perth.
- Bhana, A., & Suknunan, S. (2019). The impact of ethical leadership on employee engagement within a South African public higher education institution. Problems and Perspectives in Management, 17(4), 314-324.
- Bonner, J. M., Greenbaum, R. L., & Mayer, D. M. (2014). My Boss is Morally Disengaged: The Role of Ethical Leadership in Explaining the Interactive Effect of Supervisor and Employee Moral Disengagement on Employee Behaviors. Journal of Business Ethics, 137(4), 731-742.
- Bothma, C. F., & Roodt, G. (2013). The validation of the turnover intention scale. SA Journal of Human Resource Management, 11(1), 1-12.
- Brown, M. E., Treviño, L. K., & Harrison, D. A. (2005). Ethical leadership: A social learning perspective for construct development and testing. Organizational Behavior and Human Decision Processes, 97(2), 117-134.
- Collinsdictionary.com. (2017). Definition of disengagement.
- Cook, S. (2008). What is employee engagement? London, GBR: Kogan Page Publishers.
- De Mello E Souza Wildermuth, C., & Pauken, P. D. (2008). A perfect match: decoding employee engagement–Part I: Engaging cultures and leaders. Industrial and Commercial Training, 40(3), 122-128.
- Denton, M., & Vloeberghs, D. (2003). Leadership challenges for organisations in the new South Africa. Leadership & Organization Development Journal, 24(2), 84-95.
- Detert, J. R., Trevino, L. K., & Sweitzer, V. L. (2008). Moral disengagement in ethical decision making: a study of antecedents and outcomes. Journal Applied Psychology, 93(2), 374-391.
- Doyle, C., & Hind, P. (1998). Occupational stress, burnout and job status in female academics. Gender, Work & Organization, 5(2), 67-82.
- Dromey, J. (2014). Macleod and Clarke’s concept of employee engagement: an analysis based on the Workplace Employment Relations Study.
- Fiske, S. T. (2004). Social beings: core motives in social psychology. Hoboken, NJ: J. Wiley.
- Gallup. (2016). State of the Global Workplace Report, 2016. The Engaged University.
- Gillespie, N. A., Walsh, M., Winefield, A. H., Dua, J., & Stough, C. (2001). Occupational stress in universities: Staff perceptions of the causes, consequences and moderators of stress. Work & Stress, 15(1), 53-72.
- Hansen, A., Byrne, Z., & Kiersch, C. (2014). How interpersonal leadership relates to employee engagement. Journal of Managerial Psychology, 29(8), 953-972.
- Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: a meta-analysis. Journal of Applied Psychology, 87(2), 268-279.
- Hirtle, C. (2016). Employee engagement for workplace success.
- Iqbal, A., Tufail, M., & Lodhi, R. (2015). Employee loyalty and organizational commitment in Pakistani organizations. Global Journal of Human Resource Management, 3(1), 1-11.
- Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692-724.
- Kalshoven, K., & Boon, C. T. (2012). Ethical Leadership, Employee Well-Being, and Helping. Journal of Personnel Psychology, 11(1), 60-68.
- Kinman, G., & Jones, F. (2003). Running Up the Down Escalator’: Stressors and strains in UK academics. Quality in Higher Education, 9(1), 21-38.
- Kompaso, S. M., & Sridevi, M. S. (2010). Employee engagement: The key to improving performance. International Journal of Business and Management, 5(12), 89.
- Lewis, A., Thomas, B., & Bradley, O. (2012). Employee socialisation: A platform for employee engagement? International Journal of Employment Studies, 20(1), 25.
- Macky, K., & Boxall, P. (2008). High‐involvement work processes, work intensification and employee well-being: A study of New Zealand worker experiences. Asia Pacific Journal of Human Resources, 46(1), 38-55.
- Marquard, M. J. (2010). Leadership behavior impact on employee engagement. Doctorate of Education Technology and Leadership, Pepperdine University.
- Masemola, S. E. (2011). Employee turnover intentions, organizational commitment and job satisfaction in a post-merger tertiary institution: the case of the University of Limpopo. Master of Business Administration, University of Limpopo (Turfloop Campus).
- Maslach, C., & Jackson, S. E. (1985). The role of sex and family variables in burnout. Sex Roles, 12(7-8), 837-851.
- Maslach, C., & Leiter, M. P. (1997). The truth about burnout: How organizations cause stress and what to do about it. San Francisco: Jossey-Bass.
- Mitchell, T. R., Holtom, B. C., Lee, T. W., Sablynski, C. J., & Erez, M. (2001). Why people stay: Using job embeddedness to predict voluntary turnover. Academy of Management Journal, 44(6), 1102-1121.
- Morrell, K. M., Loan-Clarke, J., & Wilkinson, A. J. (2004). Organizational change and employee turnover. Personnel Review, 33(2), 161-173.
- Nolan, S. (2011). Employee engagement. Strategic HR Review.
- Rothmann, S. (2003). Burnout and engagement: A South African perspective. SA Journal of Industrial Psychology, 29(4), 16-25.
- Schaufeli, W., & Bakker, A. (2001). Work and well-being: towards a positive approach in occupational health psychology. Gedrag & Organisatie, 14, 229-253.
- Schaufeli, W., & Bakker, A. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293-315.
- Schulze, S. (2006). Factors influencing the job satisfaction of academics in higher education. South African Journal of Higher Education, 20(2), 318-335.
- Shuck, B., & Wollard, K. (2010). Employee engagement and HRD: A seminal review of the foundations. Human Resource Development Review, 9(1), 89-110.
- Swarnalatha, C., & Prasanna, T. (2013). Employee engagement: The concept. International Journal of Management Research and Reviews, 3(12), 3872.
- Turner, N., Barling, J., Epitropaki, O., Butcher, V., & Milner, C. (2002). Transformational leadership and moral reasoning. Journal of Applied Psychology, 87(2), 304-311.
- Tytherleigh, M., Rothmann, S., & Barkhuizen, N. (2008). Model of work-related ill health of academic staff in a SAHE institution. South African Journal of Higher Education, 22(2), 404-422.
- Van Niekerk, W. M. (2016). Assessing conflict management styles and work-related well-being of employees in higher education in South Africa. Degree Magister Commercii in Industrial Psychology of the North-West University.
- Van Niekerk, W. M., De Klerk, M., & Pires-Putter, J. K. (2017). Conflict management styles and work-related well-being among higher education employees. Journal of Psychology in Africa, 27(3), 221-226.
- Vance, R. J. (2006). Employee engagement and commitment: A guide to understanding, measuring and increasing engagement in your organization. Alexandria, VA: SHRM Foundation.
- Viljoen, J. P., & Rothmann, S. (2009). Occupational stress, ill health and organizational commitment of employees at a university of technology. SA Journal of Industrial Psychology, 35(1), 67-77.
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Human resource management in promoting innovation and organizational performance
I Gede Riana ,
Gede Suparna ,
I Gusti Made Suwandana ,
Sebastian Kot ,
Ismi Rajiani
doi: http://dx.doi.org/10.21511/ppm.18(1).2020.10
Problems and Perspectives in Management Volume 18, 2020 Issue #1 pp. 107-118 Views: 3445 Downloads: 811 TO CITE АНОТАЦІЯHuman resource management (HRM) is one of the elements enabling an organization to remain competitive in turbulence conditions. The effective practice of HRM makes competent and innovative employees contributing to the achievement of organizational objectives. This study aims to analyze HRM practices in creating innovation and organizational performance. The questionnaire was used to measure the respondents’ perceptions of variables used by a Likert scale. A survey of 126 manager samples and middle managers at export-oriented short and medium enterprises (SMEs) in Bali, Indonesia, was conducted to test the model. The analysis has shown that the proposed model was proven to be compliant with the research hypotheses. HRM significantly affects organizational performance and innovation, and it was found out that innovation can improve organizational performance. However, in the process of simultaneous testing, it was found out that innovation cannot improve organizational performance. The lack of attention to investments in human resources became one of the barriers to SMEs in creating innovation.
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Business dynamism in the world economy
Zuzana Virglerova ,
Felice Addeo ,
Eliska Zapletalikova
doi: http://dx.doi.org/10.21511/ppm.18(3).2020.14
Problems and Perspectives in Management Volume 18, 2020 Issue #3 pp. 160-169 Views: 2739 Downloads: 309 TO CITE АНОТАЦІЯThe creation and growth of new enterprises and, on the other hand, their decline and market exit are crucial factors of business dynamism and economic growth. Thus, business dynamism is an important aspect in the market chain and productivity of an economy, as well as a trigger for market reforms. The aim is to analyze business dynamism using Global Competitiveness Index 4.0 and its variables worldwide and to verify the relationship between business dynamism in the EU states and economic characteristics such as Valued added at factor cost, Enterprise Birth Rate and Enterprise Death Rate. Data were collected from the 2019 Global Competitiveness Report and from the EUROSTAT database, using the most recently updated source for each indicator. The 11th pillar of the Global Competitiveness Index, focused on business dynamics, and a set of indicators were analyzed using PCA to verify if all the variables are effective representatives of the concept. It was found out that the pillar does not effectively represent the concept of business dynamism in case of the EU countries; therefore the new pillar was constructed. A strong and statistically significant correlation between business dynamism and Value Added was confirmed. A relationship between business dynamism and other economic indicators was not proven. From a territorial point of view, Oceania achieved the best overall result in the analyzed field. The process of starting a new business is the most challenging in terms of start-up costs in South America. By contrast, the EU has reached the best result in this process.
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A financial performance-based assessment of SMEs’ competitiveness – an analysis of Hungarian and US small businesses
Vivien Csapi ,
Virgínia Balogh
doi: http://dx.doi.org/10.21511/ppm.18(3).2020.37
Problems and Perspectives in Management Volume 18, 2020 Issue #3 pp. 452-464 Views: 2171 Downloads: 1270 TO CITE АНОТАЦІЯThe study aims to identify the financial performance measures used as a proxy of the firm-level competitiveness dimensions of small and medium-sized enterprises and their competitiveness. By investigating the factors that affect competitiveness in general, those areas will be introduced, related to an identified competitiveness dimension. Financial and non-financial performance indicators will assess these areas. The paper considers competitiveness as an outcome variable, suggests a relationship between financial performance and the identified areas, and searches for the financial performance measures drivers.
A panel data model was tested on Hungarian small and medium-sized enterprises (SMEs) and US SMEs. The collected data cover the period between 2013 and 2017. As a result of the applied panel regression, those variables were successfully identified that drive and could predict financial performance measures related to competitiveness. The research found a significant difference between the two-sample dataset results, which differences can be connected to country, industry, and, in general, to economic development characteristics.
The results provide decision-making support and hint about the managerial tools and techniques aiming to control the firm characteristics, performance, and, eventually, firm-level competitiveness. Based on the results, further research can be dedicated to the development characteristics of firm-level competitiveness and the analysis of the relationship between the competitiveness dimensions and competitiveness itself.Acknowledgment
The research was financed by the Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary, within the framework of the 4th thematic programme „Enhancing the Role of Domestic Companies in the Reindustrialization of Hungary” of the University of Pécs.
