USING EMPLOYEE BEHAVIOR TO REDUCE BIAS 1
Using Employee Behavior to Reduce Bias
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USING EMPLOYEE BEHAVIOR TO REDUCE BIAS 2
Introduction
Performance reviews at work is expected to give accurate data and information to
facilitate effective performance management. However, this becomes impossible due to
inaccuracy of the data thus causing rater bias. Biased performance reviews have become more
common in most organizations. Sometimes bias results from the managers or human resource
(HR) themselves. Such sloppy and unreliable performance reviews result into reduction of
overall employee motivation, loss of good talent, reduction in engagement and performance level
of individuals, teams and the entire organization. On the other hand, positive impact on the
business is created when the performance reviews are accurate and reliable. Most organizations
use data from performance reviews to make significant business decisions such as recruitment
and retention, succession and development initiatives (Ghauri et al., 2020). The types of bias that
need to be overcome when conducting performance reviews and ratings include horns and halos
effect, appraisal bias, purposeful bias, self-bias and recency bias. This paper aims to discuss the
key factors that should be put into consideration in order to eliminate or rather reduce bias when
rating employees.
Factors to Consider When Rating Employees to Eliminate Bias
The first and most important factor to consider would be the goals and expectations of the
organization. According to Stoffers (2018), best performing employees usually come from
organizations that have clear and ambitious goals. The real hurdle comes in identifying which of
the employees know what is expected of them and those that do not. Identifying the employees
with regard to their understanding of the organizational goals is paramount when rating
employees. This way, bias is reduced because only the employees who work according to the
USING EMPLOYEE BEHAVIOR TO REDUCE BIAS 3
organization’s goals and have satisfactory performance are highly rated and rewarded. On the
other hand, the underperforming employees are either punished or corrected to bring better
performance that is in line with the goals of the organization. Performance review with regard to
attainment of company goals allows effective tracking of progress and at the same time reduces
impact of recency bias. It is therefore easy for managers to recall an employee’s performance in
the past one month than in a whole year.
Secondly, bias can be overcome by considering the factor of specific competencies
amongst employees [ CITATION Ket19 \l 1033 ]. This is effective in overcoming central tendency
bias. Every employee has their own specific strengths and weaknesses; and therefore brings
different outcomes to the organization. For instance, an employee in a company may not be a
good speaker in public, but they are an excellent writer. When rating this employee based on
work performance, it would be important to focus on their writing strengths rather than their
weaknesses. They should therefore be pushed to work best and improve on their skills and take
up assignments that help them further build their strengths. Finally, the review process should
give employees insights towards their strengths as well as highlight areas for improvement.
Thirdly, it is important to put into factor a 360-degree review off all employees when
rating their performance. This is an effective way of eliminating halo bias. A 360-degree review
allows assessment of all employees by multiple signatories such as colleagues, supervisors,
reports and managers (Schuh et al., 2018). Bias is kicked out of the picture by facilitating such
reviews. In most instances, managers may have an overly positive attitude towards a particular
employee than the others. The manager is most likely to give such an employee high ratings
from time to time and therefore fail to recognize and recommend the necessary areas for
USING EMPLOYEE BEHAVIOR TO REDUCE BIAS 4
improvement. With regard to similarity bias, managers tend to trust and favor employees who are
similar to them (Levy et al., 2017). When it comes to employee ratings, these managers will
show favoritism towards such employees thus unfairness and bias to others. Such employees
ought to receive better reviews, more coaching and advancement opportunities.
Fourthly, when conducting a performance review, it is important to consider using ratings
that are objective rather than subjective. In order to avoid bias in performance reviews and
rating, the management of any organization should consider picking questions that reflect on
observable and objective behaviors [ CITATION NgF12 \l 1033 ]. An excellent example of a top
rating would be “Rarely or never misses deadlines”. Compared to “Meets Expectations” or
“Exceeds Expectations”, the former is clearer and more objective. Subjective ratings on the other
hand bring about bias which eventually impacts ratings.
Finally, it is necessary to consider how individual employee goals align to business goals.
According to Ghauri et al., (2020), employees are able to set personal goals that align to specific
company targets when business goals are transparent. Even as company priorities change,
personal goals should as well be updated. This would be an ideal strategy in ensuring that
employees are not unfairly judged with regard to outdated goals. Bias in ratings is therefore
reduced by the ability to see real business impact.
In conclusion, performance ratings rely on accurate data from the organization.
Inaccuracy of such data can end up as bias. Several things need to be considered to reduce bias at
the workplace. These include considering individual and organizational goals, specific employee
competencies and using objective ratings. These factors can effectively be used to overcome
bias.
USING EMPLOYEE BEHAVIOR TO REDUCE BIAS 5
References
Ghauri, P., Grønhaug, K., & Strange, R. (2020). Research methods in business studies.
Cambridge University Press.
Ketokivi, M. (2019). Avoiding bias and fallacy in survey research: A behavioral multilevel
approach. Journal of Operations Management, 65(4), 380-402.
Levy, P. E., Tseng, S. T., Rosen, C. C., & Lueke, S. B. (2017). Performance management: A
marriage between practice and science–Just say “I do”. In Research in personnel and
human resources management. Emerald Publishing Limited.
Ng, T. W., & Feldman, D. C. (2012). A comparison of self-ratings and non-self-report measures
of employee creativity. Human Relations, 65(8), 1021-1047.
Schuh, S. C., Zhang, X. A., Morgeson, F. P., Tian, P., & van Dick, R. (2018). Are you really
doing good things in your boss's eyes? Interactive effects of employee innovative work
behavior and leader–member exchange on supervisory performance ratings. Human
Resource Management, 57(1), 397-409.
Stoffers, J. M., Van der Heijden, B. I., & Jacobs, E. A. (2018). Employability and innovative
work behaviour in small and medium-sized enterprises. The International Journal of
Human Resource Management, 1-28.