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Original Article
An evaluation of the effectiveness of the Behaviour Based Safety
Initiative card system at a cement manufacturing company in
Zimbabwe
Wilfred N. Nunu*, Tendai Kativhu, Phakamani Moyo
Department of Environmental Science and Health, Faculty of Applied Sciences, National University of Science and Technology, Bulawayo, Zimbabwe
a r t i c l e i n f o
Article history:
Received 20 January 2017
Received in revised form
7 September 2017
Accepted 12 September 2017
Available online 20 September 2017
Keywords:
Accident
Behavior-based safety initiative
Card
Cement-manufacturing company
Effectiveness
a b s t r a c t
Background: A behavior-based safety initiative card-issuing system was introduced at a cement-
manufacturing company in Zimbabwe in 2008 to try and curb accident occurrence. The purpose of
this study was to evaluate the effectiveness of the Behaviour Based Safety Initiative card system as a tool
used for reducing accident frequencies.
Methods: A mixed-method approach that involving administering piloted questionnaires to 40 out of
244 randomly selected employees, making observations, and reviewing secondary data were done to
collect data from different sources in the organization in 2013. A paired t-test was conducted to test
whether there was significant difference in accident occurrence before and after the implementation of
the BBSI. Scatterplots were also used to establish the correlation between the issuance of cards and the
accident and injury occurrence.
Results: The findings suggest that the introduction of the card system brought a significant decrease in
accident and injury occurrence. A negative correlation between card issuance and accident occurrence
was observed, i.e., the greater the number of cards issued, the fewer the number of accidents. It was also
noted that the card system positively influenced the mindset of workers towards safe work practices.
Conclusion: The card system had an influence on the reduction of accidents and injuries. The organi-
zation should leverage on issuing more cards to further reduce the number of accidents and injuries to
zero.
Ó 2017 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC. This is an
open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
1. Introduction
The International Labour Organization estimates that the total
costs of occupational accidents and work-related diseases are 4% of
the gross national product [1e3]. The total gross national product of
the world was approximately 34 Â 1012
US dollars in 2003 [2],
which means that worldwide the annual cost of work-related in-
juries and diseases is approximately 1.36 Â 1012
US dollars [4]. The
Southern African Development Community region ranges widely
from 0.35 to 49.42 injuries per 1,000 workers, and reported occu-
pational fatality in the region ranges from 0.85 to 21.6 fatalities per
100,000 workers [2,5]. This then translates to an annual injury rates
for wage workers of 14.02 fatalities per 100,000 workers.
Workers spend a large part of their lives at the workplace,
sometimes working in potentially dangerous environments where
their lives could be seriously at risk and the necessary safety pre-
cautions are not taken [5]. According to the National Social Security
Report in 2011, there 4,111 serious injuries at workplaces were re-
ported [5]. Seventy-five people died as a result of workplace acci-
dents [5]. During the previous year (i.e., 2010), 4,410 serious
workplace injuries and 90 deaths were recorded [5].
There are three paradigms that have been identified to have
been critical in the evolution of research on accidents and occu-
pational safety [6e8]. The first paradigm focuses on normative,
prescriptive theories concerning the way people ought to act. This
paradigm aims at preventing occupational accidents through task
* Corresponding author. Department of Environmental Science and Health, National University of Science and Technology, Corner Gwanda Road and Cecil Avenue, P.O. Box
AC 939, Ascot, Bulawayo, Zimbabwe..
E-mail address: njabulow@gmail.com (W.N. Nunu).
Contents lists available at ScienceDirect
Safety and Health at Work
journal homepage: www.e-shaw.org
2093-7911/$ e see front matter Ó 2017 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
https://doi.org/10.1016/j.shaw.2017.09.002
Safety and Health at Work 9 (2018) 308e313
design and safe rules of conduct, in which failure to follow stipu-
lated rules might result in punishment [8]. The second paradigm
focused on descriptive models of work behavior in terms of de-
viations from the normative, “best way” of working (i.e., aiming to
reduce errors and biases) [8]. This paradigm guides efforts to con-
trol behavior by removing the causes of errors. The third paradigm
takes a cognitive approach to safety [8,9]. The cognitive approach
focuses on the interaction of the individual and the work system. It
is concerned with the characteristics of the work system (features
of the task, tools, and environment) that influence the individual
decisions and actions, and the possibility of errors [8]. Studies have
noted that human behavior has a huge impact on accident-
prevention programs, as 88% of accidents are attributed to unsafe
acts, which are strongly aligned with employees’ attitudes and
behavior [7]. Most studies have, however, focused on normative
and prescriptive aspects in accident prevention, and have ignored
the cognitive approach to safety, which fosters safe behavior at the
workplace as a tool of accident minimization [7]. The majority of
studies have cited that targeting employees’ behavior results in a
vast reduction of accident occurrences at the workplace [10]. This
has made behavior-based safety (BBS) a necessity in most organi-
zations, as it molds employees’ attitudes and behavior, in such a
way that they are conscious about ways of ensuring that their at-
titudes and behavioral practices do not predispose them to acci-
dents [11].
The cement-manufacturing company in question is one of the
leading cement-producing companies in Africa [12,13]. This com-
pany is certified to National Occupational Safety Authority and is
also compliant to Occupational Health and Safety Assessment Se-
ries 18001. The company also has other safety initiatives, such as
awareness campaigns, training/induction of employees, hazard-
identification-and-risk-assessment system, audit-based safety,
and toolbox talks. The aforementioned systems seemed inadequate
in reaching their safety target, which is zero injuries and zero fa-
talities, and hence there was the introduction of the card-issuing
system in 2006 to try and achieve their safety goal.
Safety is one of the fundamental aspects of any manufacturing
industry, hence the introduction of the behavior-based safety
initiative (BBSI) in 2008 at this cement-manufacturing company
[1]. Manufacturing industries like this one are prone to occupa-
tional incidents and accidents due to exposure of workers to
dangerous environments and largely due to workers’ behavior
regarding safety [1,6]. There are two types of BBS cards: green cards
and yellow cards, which the workers issue amongst each other in
this cement-manufacturing company. The person doing the
observation becomes the referee, and the person being observed
becomes the player, with the department supervisor having an
oversight of how these cards are issued. The cards issued and the
reasons for issuance are recorded for transparency and objectivity.
The employees own the system and are motivated by the rewards
they would get in displaying good behavior; therefore, they are
bound to report any indulgence and unfair activities that may
jeopardize the effectiveness of the program. There are two types of
plays: (1) onside play, where a person is playing to high standards
(recognition for good behavior, wearing the provided personal
protective clothing appropriately, and consistently performing the
tasks allocated according to stipulated safe procedures, just to
name a few); and (2) offside play, where a person is not playing to
the rules (at-risk behaviors, inconsistent use of personal protective
clothing, horseplay, poor housekeeping, placing hands around
moving parts, and many more risky behaviors). The employees who
receive most green cards are honored in the right platform, and
those who receive more yellow cards are summoned by the man-
agement for reorientation. The main thrust of the card system was
to promote BBS in all plants in the organization.
Since its inception, the system has not been evaluated to
determine its effectiveness in reducing accidents and injury
occurrence. Attention has been given to occupational accidents and
the implementation of different strategies to curb accident occur-
rence. However, we did not find any study that has examined or
assessed the effectiveness of different strategies that have been
implemented in this organization. This study, therefore, sought to
evaluate the effectiveness of the BBSI card system as a tool used for
reducing accident frequencies.
2. Materials and methods
2.1. Study design and setting
A cross-sectional survey was conducted at the plant in 2013. A
cross-sectional survey enables data to be collected at a single point
in time or over a short observation period. It enables the re-
searchers to combine different data-collection tools (e.g., ques-
tionnaires, review of secondary data, and observations to be made
simultaneously for triangulation purposes). The plant is a heavy
manufacturing industry, producing clinker from limestone and clay,
which are abundant in the area. This product is the main raw
material, which is transported to its blending factory and is blended
with other materials in order to produce cement. The factory has 11
departments (i.e., administration, risk/safety, quality assurance,
quarry/mining, production, mechanical, electrical, civil, motor
transport/garage, customer services, and warehouse/stores). It is an
8-hour-by-three-shift production plant, and, due to the nature of
the employees’ work, they are likely to be exposed to occupational
hazards.
2.2. Study population and sampling
Forty respondents were selected from a population of 244 em-
ployees using random sampling. Firstly, a sampling frame was
drawn from the registers kept in the departments. Random
numbers were then generated and assigned to each employee. Each
employee stood an equal opportunity to be selected and to
participate in the study.
2.3. Data collection
Data were collected through piloted researcher-administered
questionnaires from the 40 randomly selected employees to
establish their attitudes toward the BBSI program. The questions
were adapted from a study conducted by Han et al (2015), which
assessed the reliability of tools or questions to test workers’ atti-
tudes toward a specific variable (i.e., obese patients) [14]. A
dichotomic questionnaire with 15 questions with two potential
binary answers (yes or no, or agree or disagree) was administered
to assess employees’ attitudes toward the BBSI program. The cor-
rect option selected would score a “1” and the incorrect option
selected would score a “0.” In the end, these points were aggregated
to get a total score out of 15. The questionnaire length of admin-
istration was between 15 and 30 minutes with translations done in
cases of illiterate respondents (Appendix 1). Covert observations
were done on employees for five working days where trained ob-
servers were disguised and pretended to be repairing some
equipment in the plant, or performing some tasks as if they were
contracted. The observers were not employees at the cement-
manufacturing company, but were trained data collectors specific
for this task. The benefit of covert observation is that people are
more likely to behave naturally if they do not know they are being
observed. The observers collected data on whether or not cards
were issued correctly in line with the behavior exhibited, and also
W.N. Nunu et al / Evaluating effectiveness of BBSI card system 309
the response or reaction of the person being issued with a card. A
total of 20 employees were followed closely and observed over a
period of five working days.
Secondary-data sources from a period before the implementation
of the BBSI (2002e2006) and after the implementation of the BBSI
(2007e2011) were reviewed. A number of accidents that occurred
before and after the implementation of the program were reviewed.
The number of cards issued from the implementation of the program
was also reviewed vis-à-vis the number of accidents that occurred
before and after the implementation of the BBSI card system.
2.4. Data management
The data generated from the 40 questionnaires assessing em-
ployees’ attitudes were captured in an Excel spreadsheet, and were
then imported into Stata version 13 (produced by StataCorp LP)
for analysis. The data were checked for internal consistency using
Cronbach a, and a value 0.942 was obtained symbolizing 94.2%
reliability.
2.5. Data analysis
The injury and accident frequency rates were summarized in
Tables 1 and 2. A paired t-test was conducted to ascertain whether
or not there was a significant change in accident and injury fre-
quencies before and after the implementation of the BBSI card
system. Pearson correlation on a scatterplot was utilized to estab-
lish the relationship (correlation) between the number of cards
issued and the number of accidents and injuries resulting thereof.
Fifteen questions were asked of respondents to establish their at-
titudes toward the BBSI card system. A scale was then developed
from these questions as adapted from various references [14e16]. If
the respondents scored between 0 and 5, they were considered to
have a negative attitude; those who scored between 6 and 10 were
considered to be indifferent, while those who scored above 10 were
considered to have a positive attitude toward the BBSI card system
and its objectives. Observations were also made on the practices of
employees while implementing the card system. Data from the
observations were summarized and presented as themes.
2.6. Ethical considerations
The researchers were granted permission by the organization to
access BBSI records and to extract data from these records relating
to accident and injury trends. The organization also granted the
researchers permission to administer questionnaires and do some
observations on their employees. Consent was also sought from the
study participants themselves. Participation was voluntary, that is,
employees were free to opt out of the study at any given stage with
no questions asked regarding the reasons leading to their decisions
not to participate.
3. Results
3.1. Trends in accident occurrence per department
Table 1 shows the trend in accident occurrence per department,
that is, 4 years before the card system was implemented and 4 years
after the implementation. The accident frequencies symbolized a
significant decrease after the implementation of the BBSI card
system, as confirmed by the significant paired t-test conducted on
the data.
3.2. Trends in injury occurrence per department
Table 2 shows the trend in injury occurrence per department,
that is, 4 years before the card system was implemented and 4 years
after the implementation. The injury frequencies show a significant
decrease after the implementation of the BBSI card system.
3.3. Relationship between the number of cards issued and the
number of accidents occurring
Fig. 1 shows the relationship between the number of cards is-
sued and the resultant accident occurrences. There is a strong
negative correlation (Pearson r ¼ e0.9158) between the two vari-
ables, which means an increase in the number of cards issued re-
sults in a decrease in the number of occurring accidents.
3.4. Relationship between the number of cards issued and the
number of injuries occurring
Fig. 2 shows the relationship between the number of cards is-
sued and the resultant number of injuries thereof. The figure shows
that there is a strong negative correlation (Pearson r ¼ e0.8651)
between the two variables. Increasing the number of BBSI cards
issued to employees results in a vast decrease in the number of
injuries that occur.
Table 1
Trends in accident occurrence per department before and after the implementation
of the behavior-based safety initiative card system
Department Number of accidents
per department before
Number of accidents
per department after
Differences
Production 137 93 44
Quarry 196 102 94
Mechanical 164 52 112
Electrical 56 12 44
Civil 13 8 5
Customer services 68 25 43
Quality assurance 7 3 4
Warehouse 54 19 35
Motor transport 56 17 39
Contractors 94 65 29
Average 84.5 39.6 44.9
Totals 845 396 449
Paired t test (t ¼ 4.1434), degree of freedom ¼ 9, mean difference ¼ 44.9.
p ¼ 0.002509 (<0.05).
Table 2
Trends in injury occurrence per department
Department Number of injuries
per department before
Number of injuries
per department after
Differences
Production 23 14 9
Quarry 21 5 16
Mechanical 27 6 21
Electrical 11 6 5
Civil 5 1 4
Customer services 11 3 8
Quality assurance 1 1 0
Warehouse 12 5 7
Motor transport 11 4 7
Contractors 24 9 15
Totals 146 54 92
Paired t test (t ¼ 4.6026), degree of freedom ¼ 9, p ¼ 0.001286 (<0.05), mean
difference ¼ 9.2.
Saf Health Work 2018;9:308e313310
3.5. Attitudes of employees toward the BBSI card system
Sixty percent of the respondents had a positive attitude toward
the BBSI card system, while 30% and 10% were indifferent and had
negative attitudes, respectively. The findings are summarized in
Fig. 3.
3.6. Observations
The researchers observed an improvement of practices toward
safe work in all workers. All employees were conscious of the
practices which could result in them being given yellow BBSI cards.
All individuals were seen to be ashamed if given a yellow card for an
unsafe practice, as this meant they were going to be summoned by
the management. Being summoned by the management was
viewed negatively, as it puts concerned employees in the spotlight
for unsafe acts. Employees who were given green cards (n ¼ 20;
65%) displayed excitement and pride, and this led them to gloat in
anticipation of amassing as many green cards as possible for them
to be rewarded at a later stage. Most (n ¼ 20; 90%) employees were
seen to be putting a lot of effort in practicing safe acts so as to be
rewarded for good behaviour.
4. Discussion
The findings of the study pointed out that there was a significant
reduction in accident and injury occurrence after the introduction
of the BBSI card system. These findings are consistent with a study
conducted by Kaila (2014) who found that unsafe or at-risk be-
haviors of employees are the root cause of most accidents [17,18].
The study further highlights that implementing behavior-targeting
programs apprehends accident occurrences [17,18]. Employees
become aware of the potential consequences that they are bound to
suffer if they do not mold their behavior in line with the program
expectations [17e20].
The study findings also highlighted that there was a strong
negative correlation between the number of BBSI cards issued and
the number of accidents and injuries that occurred. This means that
the higher the number of cards issued, the lower the number of
accidents and injuries thereof. These findings concur with the
studies that were conducted by Hidley (1998) and DePasquale and
Geller (1999), where critical success factors for BBS were explored
[21,22]. Findings from these studies point out that employees avoid
being accountable to the management through appraisals; there-
fore, they will do everything in their power to abide to the BBS
program goals and objectives [21,22]. Our findings are, therefore,
similar to these studies in the sense that employees at the cement-
manufacturing company are subjected to rewards, and may suffer
consequences if they are found in possession of many yellow cards;
therefore, they will do anything in their power to avoid getting a lot
of yellow cards.
The study also found out that majority of employees (60%,
n ¼ 40) had a positive attitude toward the BBSI card system. A study
conducted by DePasquale and Geller (1999) highlighted that
y = -0.6004x + 161.02
R² = 0.8387
0
50
100
150
200
0 50 100 150 200 250
occurringstnediccaforebmuN
Cumula ve number of cards issued
Fig. 1. Relationship between card issuing and accident occurrence (2002e2011).
Fig. 2. Relationship between card issuing and injury occurrence (2002e2011).
W.N. Nunu et al / Evaluating effectiveness of BBSI card system 311
employees would abide by, and have a good attitude toward a BBS
program if they value their tenure in an organization [22]. This
normally cultivates a safety culture as employees trust their man-
agements’ abilities, and therefore, they are bound to support most
of the safety initiatives suggested and adopted by their manage-
ment [22]. In addition, this study further elaborates that employees
that are involved in a mandatory process report high frequencies of
giving positive behavior-based feedback [22]. This is consistent
with the findings of our study where employees were not given a
choice to opt out of the BBSI card system, as it was mandatory and
compulsory.
It was observed that employees were very conscious of the BBSI
card system and did everything to avoid being given yellow cards. A
study conducted by Hidley (1998) reinforces this finding [21].
Hidley points out that employees would do everything to avoid
being associated with negative behaviors in an organization where
the organization rewards positive behavior and punishes those
who engage in risk behaviors [21].
This study focused on the BBSI card system as one of the tools to
reduce accident occurrence at the workplace. Most studies have
focused on safety with particular reference on safety procedures
(procedures to do the work safely), and also engineering techniques
to reduce exposure of employees to hazards, but have ignored the
human aspect of safety [7,8,22,23]. This study builds on the
knowledge of existing safety programs that could target the
behavior of employees to create a safe working attitude and
behavior, which could yield positive results. Such studies would
help to improve the safety outcome at the workplace, as the human
behavior would be integrated into existing safety programs for
optimal results.
It should be noted that the results from this study cannot be
generalized for all manufacturing industries. The employees were
not given a choice to opt out of the BBSI card system, as it was
compulsory and mandatory. In as much as there was a change in
accident and injury occurrences after the implementation of the
BBSI card system, such outcomes cannot be exclusively attributed
to the BBSI card system. There were some programs and systems
that were running concurrently with the BBSI card system during
the time of our investigation. Most of the information we reviewed
did not specify whether or not the cards issued were green or
yellow, but it gave us the total number of cards issued regardless of
color. This then led the authors to analyze the data based on the
number of cards issued without paying attention to the color of the
card issued.
5. Conclusion
The findings of this study suggest that the BBSI card system
yielded positive results, as seen in a vast decrease in accident and
injury occurrences after the implementation of this program. The
safety culture generally improved as employees started appreci-
ating the importance of the card system in safeguarding their
safety, and also in making sure they are rewarded for safe acts and
practices. There is sufficient evidence that the BBSI card system was
effective, as the higher the number of cards that were issued, the
lower the number of accidents and injuries occurred. The organi-
zation should then continue issuing more cards to attain even
lower numbers of accident and injury occurrences. There is also a
need for the organization to improve its record keeping and to
classify cards issued according to color, as this would allow for in-
depth audits to be conducted and a fair assessment of the effec-
tiveness of the BBSI strategy to be done.
Conflict of interest
We confirm that there are no conflict of interest associated with
this publication and there has been no significant financial support
for this work that could have influenced its outcome.
Appendix 1. Respondents’ attitude questionnaire
(1) Accidents are a serious health problem in any organization.
(Agree or disagree)
(2) Can accidents be avoided? (Yes or no)
(3) Do you know any accident-reduction systems that are in place
in this organization? (Yes or no)
(4) In your view, has the BBSI program been helpful in reducing
accidents in this organization? (Yes or no)
(5) BBSI has improved your chances of being safe at work. (Agree
or disagree)
Fig. 3. Attitudes of employees toward the BBSI card system.
Saf Health Work 2018;9:308e313312
(6) BBSI is the best strategy that has been implemented by the
organization in relation to accident reduction. (Agree or
disagree)
(7) The accident-occurrence rates were high in your department
before the introduction of the BBSI card system. (Agree or
disagree)
(8) Has the witnessed accident and injury reduction been an
outcome of the BBSI program implementation? (Agree or
disagree)
(9) Do you think the card system has influenced behaviour change
in employees? (Yes or no)
(10) The card-issuing setup (i.e., referee and player) is appropriate
for the reward system. (Agree or disagree)
(11) Do you think the card system honors the right people at the
workplace? (Yes or no)
(12) In your view, the BBSI protocol violators are correctly identi-
fied. (Agree or disagree)
(13) Are you committed to this strategy fully? (Yes or no)
(14) Do you think the card system should continue being imple-
mented in this organization? (Yes or no)
(15) Would you recommend this strategy to any organization? (Yes
or no)
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Evaluating a BBS Card System's Effectiveness at Reducing Accidents

  • 1. Original Article An evaluation of the effectiveness of the Behaviour Based Safety Initiative card system at a cement manufacturing company in Zimbabwe Wilfred N. Nunu*, Tendai Kativhu, Phakamani Moyo Department of Environmental Science and Health, Faculty of Applied Sciences, National University of Science and Technology, Bulawayo, Zimbabwe a r t i c l e i n f o Article history: Received 20 January 2017 Received in revised form 7 September 2017 Accepted 12 September 2017 Available online 20 September 2017 Keywords: Accident Behavior-based safety initiative Card Cement-manufacturing company Effectiveness a b s t r a c t Background: A behavior-based safety initiative card-issuing system was introduced at a cement- manufacturing company in Zimbabwe in 2008 to try and curb accident occurrence. The purpose of this study was to evaluate the effectiveness of the Behaviour Based Safety Initiative card system as a tool used for reducing accident frequencies. Methods: A mixed-method approach that involving administering piloted questionnaires to 40 out of 244 randomly selected employees, making observations, and reviewing secondary data were done to collect data from different sources in the organization in 2013. A paired t-test was conducted to test whether there was significant difference in accident occurrence before and after the implementation of the BBSI. Scatterplots were also used to establish the correlation between the issuance of cards and the accident and injury occurrence. Results: The findings suggest that the introduction of the card system brought a significant decrease in accident and injury occurrence. A negative correlation between card issuance and accident occurrence was observed, i.e., the greater the number of cards issued, the fewer the number of accidents. It was also noted that the card system positively influenced the mindset of workers towards safe work practices. Conclusion: The card system had an influence on the reduction of accidents and injuries. The organi- zation should leverage on issuing more cards to further reduce the number of accidents and injuries to zero. Ó 2017 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 1. Introduction The International Labour Organization estimates that the total costs of occupational accidents and work-related diseases are 4% of the gross national product [1e3]. The total gross national product of the world was approximately 34 Â 1012 US dollars in 2003 [2], which means that worldwide the annual cost of work-related in- juries and diseases is approximately 1.36 Â 1012 US dollars [4]. The Southern African Development Community region ranges widely from 0.35 to 49.42 injuries per 1,000 workers, and reported occu- pational fatality in the region ranges from 0.85 to 21.6 fatalities per 100,000 workers [2,5]. This then translates to an annual injury rates for wage workers of 14.02 fatalities per 100,000 workers. Workers spend a large part of their lives at the workplace, sometimes working in potentially dangerous environments where their lives could be seriously at risk and the necessary safety pre- cautions are not taken [5]. According to the National Social Security Report in 2011, there 4,111 serious injuries at workplaces were re- ported [5]. Seventy-five people died as a result of workplace acci- dents [5]. During the previous year (i.e., 2010), 4,410 serious workplace injuries and 90 deaths were recorded [5]. There are three paradigms that have been identified to have been critical in the evolution of research on accidents and occu- pational safety [6e8]. The first paradigm focuses on normative, prescriptive theories concerning the way people ought to act. This paradigm aims at preventing occupational accidents through task * Corresponding author. Department of Environmental Science and Health, National University of Science and Technology, Corner Gwanda Road and Cecil Avenue, P.O. Box AC 939, Ascot, Bulawayo, Zimbabwe.. E-mail address: njabulow@gmail.com (W.N. Nunu). Contents lists available at ScienceDirect Safety and Health at Work journal homepage: www.e-shaw.org 2093-7911/$ e see front matter Ó 2017 Occupational Safety and Health Research Institute, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). https://doi.org/10.1016/j.shaw.2017.09.002 Safety and Health at Work 9 (2018) 308e313
  • 2. design and safe rules of conduct, in which failure to follow stipu- lated rules might result in punishment [8]. The second paradigm focused on descriptive models of work behavior in terms of de- viations from the normative, “best way” of working (i.e., aiming to reduce errors and biases) [8]. This paradigm guides efforts to con- trol behavior by removing the causes of errors. The third paradigm takes a cognitive approach to safety [8,9]. The cognitive approach focuses on the interaction of the individual and the work system. It is concerned with the characteristics of the work system (features of the task, tools, and environment) that influence the individual decisions and actions, and the possibility of errors [8]. Studies have noted that human behavior has a huge impact on accident- prevention programs, as 88% of accidents are attributed to unsafe acts, which are strongly aligned with employees’ attitudes and behavior [7]. Most studies have, however, focused on normative and prescriptive aspects in accident prevention, and have ignored the cognitive approach to safety, which fosters safe behavior at the workplace as a tool of accident minimization [7]. The majority of studies have cited that targeting employees’ behavior results in a vast reduction of accident occurrences at the workplace [10]. This has made behavior-based safety (BBS) a necessity in most organi- zations, as it molds employees’ attitudes and behavior, in such a way that they are conscious about ways of ensuring that their at- titudes and behavioral practices do not predispose them to acci- dents [11]. The cement-manufacturing company in question is one of the leading cement-producing companies in Africa [12,13]. This com- pany is certified to National Occupational Safety Authority and is also compliant to Occupational Health and Safety Assessment Se- ries 18001. The company also has other safety initiatives, such as awareness campaigns, training/induction of employees, hazard- identification-and-risk-assessment system, audit-based safety, and toolbox talks. The aforementioned systems seemed inadequate in reaching their safety target, which is zero injuries and zero fa- talities, and hence there was the introduction of the card-issuing system in 2006 to try and achieve their safety goal. Safety is one of the fundamental aspects of any manufacturing industry, hence the introduction of the behavior-based safety initiative (BBSI) in 2008 at this cement-manufacturing company [1]. Manufacturing industries like this one are prone to occupa- tional incidents and accidents due to exposure of workers to dangerous environments and largely due to workers’ behavior regarding safety [1,6]. There are two types of BBS cards: green cards and yellow cards, which the workers issue amongst each other in this cement-manufacturing company. The person doing the observation becomes the referee, and the person being observed becomes the player, with the department supervisor having an oversight of how these cards are issued. The cards issued and the reasons for issuance are recorded for transparency and objectivity. The employees own the system and are motivated by the rewards they would get in displaying good behavior; therefore, they are bound to report any indulgence and unfair activities that may jeopardize the effectiveness of the program. There are two types of plays: (1) onside play, where a person is playing to high standards (recognition for good behavior, wearing the provided personal protective clothing appropriately, and consistently performing the tasks allocated according to stipulated safe procedures, just to name a few); and (2) offside play, where a person is not playing to the rules (at-risk behaviors, inconsistent use of personal protective clothing, horseplay, poor housekeeping, placing hands around moving parts, and many more risky behaviors). The employees who receive most green cards are honored in the right platform, and those who receive more yellow cards are summoned by the man- agement for reorientation. The main thrust of the card system was to promote BBS in all plants in the organization. Since its inception, the system has not been evaluated to determine its effectiveness in reducing accidents and injury occurrence. Attention has been given to occupational accidents and the implementation of different strategies to curb accident occur- rence. However, we did not find any study that has examined or assessed the effectiveness of different strategies that have been implemented in this organization. This study, therefore, sought to evaluate the effectiveness of the BBSI card system as a tool used for reducing accident frequencies. 2. Materials and methods 2.1. Study design and setting A cross-sectional survey was conducted at the plant in 2013. A cross-sectional survey enables data to be collected at a single point in time or over a short observation period. It enables the re- searchers to combine different data-collection tools (e.g., ques- tionnaires, review of secondary data, and observations to be made simultaneously for triangulation purposes). The plant is a heavy manufacturing industry, producing clinker from limestone and clay, which are abundant in the area. This product is the main raw material, which is transported to its blending factory and is blended with other materials in order to produce cement. The factory has 11 departments (i.e., administration, risk/safety, quality assurance, quarry/mining, production, mechanical, electrical, civil, motor transport/garage, customer services, and warehouse/stores). It is an 8-hour-by-three-shift production plant, and, due to the nature of the employees’ work, they are likely to be exposed to occupational hazards. 2.2. Study population and sampling Forty respondents were selected from a population of 244 em- ployees using random sampling. Firstly, a sampling frame was drawn from the registers kept in the departments. Random numbers were then generated and assigned to each employee. Each employee stood an equal opportunity to be selected and to participate in the study. 2.3. Data collection Data were collected through piloted researcher-administered questionnaires from the 40 randomly selected employees to establish their attitudes toward the BBSI program. The questions were adapted from a study conducted by Han et al (2015), which assessed the reliability of tools or questions to test workers’ atti- tudes toward a specific variable (i.e., obese patients) [14]. A dichotomic questionnaire with 15 questions with two potential binary answers (yes or no, or agree or disagree) was administered to assess employees’ attitudes toward the BBSI program. The cor- rect option selected would score a “1” and the incorrect option selected would score a “0.” In the end, these points were aggregated to get a total score out of 15. The questionnaire length of admin- istration was between 15 and 30 minutes with translations done in cases of illiterate respondents (Appendix 1). Covert observations were done on employees for five working days where trained ob- servers were disguised and pretended to be repairing some equipment in the plant, or performing some tasks as if they were contracted. The observers were not employees at the cement- manufacturing company, but were trained data collectors specific for this task. The benefit of covert observation is that people are more likely to behave naturally if they do not know they are being observed. The observers collected data on whether or not cards were issued correctly in line with the behavior exhibited, and also W.N. Nunu et al / Evaluating effectiveness of BBSI card system 309
  • 3. the response or reaction of the person being issued with a card. A total of 20 employees were followed closely and observed over a period of five working days. Secondary-data sources from a period before the implementation of the BBSI (2002e2006) and after the implementation of the BBSI (2007e2011) were reviewed. A number of accidents that occurred before and after the implementation of the program were reviewed. The number of cards issued from the implementation of the program was also reviewed vis-à-vis the number of accidents that occurred before and after the implementation of the BBSI card system. 2.4. Data management The data generated from the 40 questionnaires assessing em- ployees’ attitudes were captured in an Excel spreadsheet, and were then imported into Stata version 13 (produced by StataCorp LP) for analysis. The data were checked for internal consistency using Cronbach a, and a value 0.942 was obtained symbolizing 94.2% reliability. 2.5. Data analysis The injury and accident frequency rates were summarized in Tables 1 and 2. A paired t-test was conducted to ascertain whether or not there was a significant change in accident and injury fre- quencies before and after the implementation of the BBSI card system. Pearson correlation on a scatterplot was utilized to estab- lish the relationship (correlation) between the number of cards issued and the number of accidents and injuries resulting thereof. Fifteen questions were asked of respondents to establish their at- titudes toward the BBSI card system. A scale was then developed from these questions as adapted from various references [14e16]. If the respondents scored between 0 and 5, they were considered to have a negative attitude; those who scored between 6 and 10 were considered to be indifferent, while those who scored above 10 were considered to have a positive attitude toward the BBSI card system and its objectives. Observations were also made on the practices of employees while implementing the card system. Data from the observations were summarized and presented as themes. 2.6. Ethical considerations The researchers were granted permission by the organization to access BBSI records and to extract data from these records relating to accident and injury trends. The organization also granted the researchers permission to administer questionnaires and do some observations on their employees. Consent was also sought from the study participants themselves. Participation was voluntary, that is, employees were free to opt out of the study at any given stage with no questions asked regarding the reasons leading to their decisions not to participate. 3. Results 3.1. Trends in accident occurrence per department Table 1 shows the trend in accident occurrence per department, that is, 4 years before the card system was implemented and 4 years after the implementation. The accident frequencies symbolized a significant decrease after the implementation of the BBSI card system, as confirmed by the significant paired t-test conducted on the data. 3.2. Trends in injury occurrence per department Table 2 shows the trend in injury occurrence per department, that is, 4 years before the card system was implemented and 4 years after the implementation. The injury frequencies show a significant decrease after the implementation of the BBSI card system. 3.3. Relationship between the number of cards issued and the number of accidents occurring Fig. 1 shows the relationship between the number of cards is- sued and the resultant accident occurrences. There is a strong negative correlation (Pearson r ¼ e0.9158) between the two vari- ables, which means an increase in the number of cards issued re- sults in a decrease in the number of occurring accidents. 3.4. Relationship between the number of cards issued and the number of injuries occurring Fig. 2 shows the relationship between the number of cards is- sued and the resultant number of injuries thereof. The figure shows that there is a strong negative correlation (Pearson r ¼ e0.8651) between the two variables. Increasing the number of BBSI cards issued to employees results in a vast decrease in the number of injuries that occur. Table 1 Trends in accident occurrence per department before and after the implementation of the behavior-based safety initiative card system Department Number of accidents per department before Number of accidents per department after Differences Production 137 93 44 Quarry 196 102 94 Mechanical 164 52 112 Electrical 56 12 44 Civil 13 8 5 Customer services 68 25 43 Quality assurance 7 3 4 Warehouse 54 19 35 Motor transport 56 17 39 Contractors 94 65 29 Average 84.5 39.6 44.9 Totals 845 396 449 Paired t test (t ¼ 4.1434), degree of freedom ¼ 9, mean difference ¼ 44.9. p ¼ 0.002509 (<0.05). Table 2 Trends in injury occurrence per department Department Number of injuries per department before Number of injuries per department after Differences Production 23 14 9 Quarry 21 5 16 Mechanical 27 6 21 Electrical 11 6 5 Civil 5 1 4 Customer services 11 3 8 Quality assurance 1 1 0 Warehouse 12 5 7 Motor transport 11 4 7 Contractors 24 9 15 Totals 146 54 92 Paired t test (t ¼ 4.6026), degree of freedom ¼ 9, p ¼ 0.001286 (<0.05), mean difference ¼ 9.2. Saf Health Work 2018;9:308e313310
  • 4. 3.5. Attitudes of employees toward the BBSI card system Sixty percent of the respondents had a positive attitude toward the BBSI card system, while 30% and 10% were indifferent and had negative attitudes, respectively. The findings are summarized in Fig. 3. 3.6. Observations The researchers observed an improvement of practices toward safe work in all workers. All employees were conscious of the practices which could result in them being given yellow BBSI cards. All individuals were seen to be ashamed if given a yellow card for an unsafe practice, as this meant they were going to be summoned by the management. Being summoned by the management was viewed negatively, as it puts concerned employees in the spotlight for unsafe acts. Employees who were given green cards (n ¼ 20; 65%) displayed excitement and pride, and this led them to gloat in anticipation of amassing as many green cards as possible for them to be rewarded at a later stage. Most (n ¼ 20; 90%) employees were seen to be putting a lot of effort in practicing safe acts so as to be rewarded for good behaviour. 4. Discussion The findings of the study pointed out that there was a significant reduction in accident and injury occurrence after the introduction of the BBSI card system. These findings are consistent with a study conducted by Kaila (2014) who found that unsafe or at-risk be- haviors of employees are the root cause of most accidents [17,18]. The study further highlights that implementing behavior-targeting programs apprehends accident occurrences [17,18]. Employees become aware of the potential consequences that they are bound to suffer if they do not mold their behavior in line with the program expectations [17e20]. The study findings also highlighted that there was a strong negative correlation between the number of BBSI cards issued and the number of accidents and injuries that occurred. This means that the higher the number of cards issued, the lower the number of accidents and injuries thereof. These findings concur with the studies that were conducted by Hidley (1998) and DePasquale and Geller (1999), where critical success factors for BBS were explored [21,22]. Findings from these studies point out that employees avoid being accountable to the management through appraisals; there- fore, they will do everything in their power to abide to the BBS program goals and objectives [21,22]. Our findings are, therefore, similar to these studies in the sense that employees at the cement- manufacturing company are subjected to rewards, and may suffer consequences if they are found in possession of many yellow cards; therefore, they will do anything in their power to avoid getting a lot of yellow cards. The study also found out that majority of employees (60%, n ¼ 40) had a positive attitude toward the BBSI card system. A study conducted by DePasquale and Geller (1999) highlighted that y = -0.6004x + 161.02 R² = 0.8387 0 50 100 150 200 0 50 100 150 200 250 occurringstnediccaforebmuN Cumula ve number of cards issued Fig. 1. Relationship between card issuing and accident occurrence (2002e2011). Fig. 2. Relationship between card issuing and injury occurrence (2002e2011). W.N. Nunu et al / Evaluating effectiveness of BBSI card system 311
  • 5. employees would abide by, and have a good attitude toward a BBS program if they value their tenure in an organization [22]. This normally cultivates a safety culture as employees trust their man- agements’ abilities, and therefore, they are bound to support most of the safety initiatives suggested and adopted by their manage- ment [22]. In addition, this study further elaborates that employees that are involved in a mandatory process report high frequencies of giving positive behavior-based feedback [22]. This is consistent with the findings of our study where employees were not given a choice to opt out of the BBSI card system, as it was mandatory and compulsory. It was observed that employees were very conscious of the BBSI card system and did everything to avoid being given yellow cards. A study conducted by Hidley (1998) reinforces this finding [21]. Hidley points out that employees would do everything to avoid being associated with negative behaviors in an organization where the organization rewards positive behavior and punishes those who engage in risk behaviors [21]. This study focused on the BBSI card system as one of the tools to reduce accident occurrence at the workplace. Most studies have focused on safety with particular reference on safety procedures (procedures to do the work safely), and also engineering techniques to reduce exposure of employees to hazards, but have ignored the human aspect of safety [7,8,22,23]. This study builds on the knowledge of existing safety programs that could target the behavior of employees to create a safe working attitude and behavior, which could yield positive results. Such studies would help to improve the safety outcome at the workplace, as the human behavior would be integrated into existing safety programs for optimal results. It should be noted that the results from this study cannot be generalized for all manufacturing industries. The employees were not given a choice to opt out of the BBSI card system, as it was compulsory and mandatory. In as much as there was a change in accident and injury occurrences after the implementation of the BBSI card system, such outcomes cannot be exclusively attributed to the BBSI card system. There were some programs and systems that were running concurrently with the BBSI card system during the time of our investigation. Most of the information we reviewed did not specify whether or not the cards issued were green or yellow, but it gave us the total number of cards issued regardless of color. This then led the authors to analyze the data based on the number of cards issued without paying attention to the color of the card issued. 5. Conclusion The findings of this study suggest that the BBSI card system yielded positive results, as seen in a vast decrease in accident and injury occurrences after the implementation of this program. The safety culture generally improved as employees started appreci- ating the importance of the card system in safeguarding their safety, and also in making sure they are rewarded for safe acts and practices. There is sufficient evidence that the BBSI card system was effective, as the higher the number of cards that were issued, the lower the number of accidents and injuries occurred. The organi- zation should then continue issuing more cards to attain even lower numbers of accident and injury occurrences. There is also a need for the organization to improve its record keeping and to classify cards issued according to color, as this would allow for in- depth audits to be conducted and a fair assessment of the effec- tiveness of the BBSI strategy to be done. Conflict of interest We confirm that there are no conflict of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome. Appendix 1. Respondents’ attitude questionnaire (1) Accidents are a serious health problem in any organization. (Agree or disagree) (2) Can accidents be avoided? (Yes or no) (3) Do you know any accident-reduction systems that are in place in this organization? (Yes or no) (4) In your view, has the BBSI program been helpful in reducing accidents in this organization? (Yes or no) (5) BBSI has improved your chances of being safe at work. (Agree or disagree) Fig. 3. Attitudes of employees toward the BBSI card system. Saf Health Work 2018;9:308e313312
  • 6. (6) BBSI is the best strategy that has been implemented by the organization in relation to accident reduction. (Agree or disagree) (7) The accident-occurrence rates were high in your department before the introduction of the BBSI card system. (Agree or disagree) (8) Has the witnessed accident and injury reduction been an outcome of the BBSI program implementation? (Agree or disagree) (9) Do you think the card system has influenced behaviour change in employees? (Yes or no) (10) The card-issuing setup (i.e., referee and player) is appropriate for the reward system. (Agree or disagree) (11) Do you think the card system honors the right people at the workplace? (Yes or no) (12) In your view, the BBSI protocol violators are correctly identi- fied. (Agree or disagree) (13) Are you committed to this strategy fully? (Yes or no) (14) Do you think the card system should continue being imple- mented in this organization? (Yes or no) (15) Would you recommend this strategy to any organization? (Yes or no) References [1] Ahasan R. Legacy of implementing industrial health and safety in developing countries. J Physiol Anthropol Appl Human Sci 2001;20(6):311e9. [2] Kheni NA, Gibb AGF, Dainty ARJ. Health and safety management within small- and medium-sized enterprises (SMEs) in developing countries: study of contextual influences. J Constr Eng Manag 2010;136(10):1104e15. [3] Mehrdad R, Seifmanesh S, Chavoshi F, Aminian O, Izadi N. Epidemiology of occupational accidents in Iran based on Social Security Organization database. Iran Red Crescent Med J 2014;16(1):1e5. [4] Hilhorst TJ. Appraisal of risk perception in occupational health and safety research in developing countries. Int J Occup Environ Health 1996;2(4):319e26. [5] Moyo D, Zungu M, Kgalamono S, Mwila CD. Review of occupational health and safety organization in expanding economies: the case of Southern Africa. Ann Glob Health 2015;81(4):495e502. [6] Artvinli F. The ethics of occupational health and safety in Turkey: re- sponsibility and consent to risk. Acta Bioeth 2016;22(1):111e8. [7] Askaripoor T, Jafari MJ. Behavior-based safety, the main strategy to reduce accidents in the country: a case study in an automobile company. Tolooe- behdasht 2015;14(1):33e42. [8] Brimm M. Organization studies. In: Rasmussen J, Pejtersen AM, Goodstein LP, editors. Cognitive systems engineering. Berlin (Germany): Walter de Gruyter GmbH; 1996. 709 p. [9] Findley M. Management needs behavior-based safety initiatives too. Saf Health 2000;161(3):44. [10] Krause TR. Moving to the 2nd generation in behavior-based safety. Prof Saf 2001;46(5):27. [11] Sulzer-Azaroff B, Austin J. Does BBS work? Behavior-based safety & injury reduction: a survey of the evidence. Prof Saf 2000;45(7):19. [12] Gama M. End of PPC’s downward cycle? Finweek 2016. 15e15. [13] Patel H, Pandey S. Evaluation of physical stability and leachability of Portland Pozzolona Cement (PPC) solidified chemical sludge generated from textile wastewater treatment plants. J Hazard Mater 2012;207e208: 56e64. [14] Han SS, Han JW, Lee JM. Development of an instrument for assessment of Korean nurses’ attitudes toward obese patients. Jpn J Nurs Sci 2015;12(3): 249e57. [15] Smith-Sebasto NJ, D’Acosta A. Designing a Likert-type scale to predict envi- ronmentally responsible behavior in undergraduate students: a multistep process. J Environ Educ 1995;27(1):14. [16] Spooren P, Mortelmans D, Denekens J. Student evaluation of teaching quality in higher education: development of an instrument based on 10 Likert-scales. Assess Eval High Educ 2007;32(6):667e79. [17] Kaila HL. Emerging issues and outcomes of behavior based safety (BBS) implementation. J Insur Inst India 2014;2(1):98e102. [18] Kaila HL. A case of behaviour based safety (BBS) implementation at a multi- national organisation. J Org Hum Behav 2014;3(2/3):1e8. [19] Guo SY, Ding LY, Luo HB, Jiang XY. A big-data-based platform of workers’ behavior: observations from the field. Accid Anal Prev 2016;93:299e309. [20] Zigulis G. Behavior-based safety programsdshould they be implemented? Occup Health Saf 2015;84(10):26. [21] Hidley JH. Critical success factors for behavior-based safety. In: Professional Safety, vol. 43. United States: American Society of Safety Engineers; 1998. 30 p. [22] DePasquale JP, Geller ES. Critical success factors for behavior-based safety: a study of twenty industry-wide applications. J Saf Res 1999;30(4):237. [23] Al-Hemoud AM, Al-Asfoor MM. A behavior based safety approach at a Kuwait research institution. J Saf Res 2006;37(2):201e6. W.N. Nunu et al / Evaluating effectiveness of BBSI card system 313