Next Article in Journal
Multi- and Single-Joint Resistance Exercises Promote Similar Plantar Flexor Activation in Resistance Trained Men
Previous Article in Journal
Acute Effects of Using Added Respiratory Dead Space Volume in a Cycling Sprint Interval Exercise Protocol: A Cross-Over Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Determining Strategies for Constructing the Safety Supervision System by Considering Both Internal and External Safety Environments: A Case Study of X Group Corporation, China

1
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
2
College of Environment and Resources, Fuzhou University, Fuzhou 350116, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(24), 9486; https://doi.org/10.3390/ijerph17249486
Submission received: 14 November 2020 / Revised: 11 December 2020 / Accepted: 14 December 2020 / Published: 18 December 2020

Abstract

:
Safety supervision aims to safeguard the overall interests of the corporation, and ensure its safety production together with sustainable development. It is the key to reducing accident rates, and safeguarding employees’ safety and corporate property. The establishment of safety supervision system requires specify strategies. However, it is difficult to determine such strategies in an objective manner under complex environments. Therefore, first, this paper combined an external factor evaluation matrix (EFEM) and an internal factor evaluation matrix (IFEM) to analyze the internal and external safety environments faced by X Group Corporation (XGC). Second, the strength-weakness-opportunity-threat (SWOT) approach was employed to qualitatively analyze and explore the alternative safety supervision strategies. Following this, the most attractive strategies were selected from alternatives by using the quantitative strategic planning matrix (QSPM), namely construction of the safety culture system, clarification of modes and organizational structure of safety supervision, and improvement of the safety performance evaluation system. These strategies were subsequently applied in the construction and improvement of the XGC’s safety supervision system. This study can provide reliable theoretical and methodological support for the establishment of corporations’ safety supervision systems.

1. Introduction

According to national laws, regulations, and the demands of safety production as well as sustainable development, it is required to strengthen the safety supervision of the group corporation. These researches on the safety supervision strategies and systems are helpful for the group corporation to control the overall levels of safety management and implement effective safety supervision processes. Moreover, they can contribute to reductions in accident rates and damage of equipment and facilities, safeguard employees’ physical safety and corporation’s property, and maintain social harmony and stability. Thus, it is very important for the group corporation to construct a systematic, reliable and objective safety supervision system. Many efforts have been made to study safety supervision system, and most of them are involved in a specified safety supervision strategy. Existing studies commonly consider safety culture, occupational health and safety management, safety management information and safety performance evaluation as key factors in building safety supervision systems. In addition, among these factors, safety culture and safety performance evaluation have received more attention.
The safety culture is a crucial factor that sets the tone for the importance of safety within an organization [1]. It refers to a set of attitudes, beliefs, and perceptions shared within natural groups [2,3], and can guide employees’ behaviors towards risk [4,5,6]. The safety culture should emphasize managers’ concerns and commitment to employees’ safety [7,8,9], mainly because employees’ perceptions of the safety system, which appear to impact employees’ behaviors and decisions in the workplace, are related to management’s commitment to safety [1]. Consequently, a commitment to safety will positively or negatively influence injury rates within corporations.
In recent years, the occupational health and safety management system has been paid increasing attention [10]. Many countries have set occupational health and safety standards for the construction of such system, and scholars have widely studied these standards. For example, the American National Standard for Occupational Health and Safety Management Systems [11] was explored by Autenrieth et al. [12]. They put forward the requirements for the participation of managers and employees. Yazdani et al., Ghahramani, and da Silva and Amaral [13,14,15] researched the Occupational Health and Safety Assessment Series 18001 (OHSAS 18001) and British Standard 8800 (BS 8800) [16,17]. The OHSAS 18001 pointed out requirements for the management of occupational health and safety (OHS) in organizations. The BS 8800 illustrated the possibilities for building up an occupational safety management system. Moreover, it had been translated into Finnish, and a corresponding website had been certified. The main purpose of these standards is to create and maintain a safe work environment for employees, to ensure their safety and health in the workplace [18].
Safety performance evaluations are conducted within an enterprise to evaluate employees’ operational behaviors and achieve work outcomes that are based on specific evaluation criteria and indicators. The evaluation results are then used to guide and improve employees’ future operations. Safety performance encompasses safety compliance and participation [19,20]. Most scholars evaluated safety performance through two dimensions: safety compliance behavior and safety participation behavior [21,22], and have explored the relationship between these two dimensions and unsafe behaviors of employees [23]. It has been proved that these two dimensions are important indicators of injuries and accidents in the process industry [24]. Safety performance evaluations comprise pre-accident assessment (proactive measurement) and post-accident assessment (reactive measurement) [25]. Proactive studies have focused on evaluating the safety climate of a region, safety culture, hazard identification and observation [26], while reactive studies have generally emphasized injury rates and compensation costs [27]. In addition, it has been found that reactive studies usually measure safety performance according to historical events or data, regardless of current safety activities [28].
Given their widespread use and close integration with business processes, information systems now have a prominent role in supporting or shaping corporate strategies [29,30]. Safety management information systems (SMIS) are combined with the elements of occupational health management system recommended by countries to develop and design [31,32]. The safety management system model in OHSAS 18001 is regarded as the macro-theoretical basis of most developed SMIS [33,34]. SMIS, developed using modern technology, are integral to the comprehensive processing of safety information relating to modern safety management, providing a key tool that supports decision making relating to safety management [35]. Therefore, safety managers can benefit greatly from the correct implementation and maintenance of SMIS [36,37].
This paper reports a case study of X Group Corporation (XGC) located in Fujian, China. The XGC is a comprehensive state-owned enterprise group focusing on new energy, new materials, medical health and finance, and involves industries such as coal, electricity, building materials, port logistics, construction and real estate, etc. It owns more than 40 wholly-owned or holding companies, including four listed ones, and is one of the top 500 enterprises in China. In order to meet the safety development needs of the XGC, it is urgent to formulate safety supervision strategies and establish a complete safety supervision system.
From the above analysis, it is apparent that previous studies on safety supervision systems have mainly focused on specific safety supervision strategies. However, the provision of objective and strategic guidance for the construction of the safety supervision system of XGC characterized by complex internal and external safety environments remains challenging. To address this challenge, an in-depth analysis of the internal and external safety environments of the X Group Corporation was performed using an internal factor evaluation matrix (IFEM) and an external factor evaluation matrix (EFEM). Next, a strengths-weaknesses-opportunities-threats (SWOT) analysis was conducted to explore alternative safety supervision strategies for XGC. Additionally, a quantitative strategic planning matrix (QSPM) was employed to select the most attractive strategies out of the alternatives. Finally, a safety supervision system was constructed, incorporating the selected strategies. Such an analysis of the strategic environment is beneficial to the formulation and selection of strategies [38]. Considering the internal and external safety environments of XGC, the strategies involved in safety supervision system can be fully taken into account through strategic decision analysis, so it provides a reliable theoretical and methodological support for the construction of the XGC’s safety supervision system.
The remainder of this paper is organized as follows. Section 2 introduces the methods used for selecting safety supervision strategies and constructing the safety performance evaluation system. Section 3 provides a detailed description of the methods applied to select the safety supervision strategies. In Section 4, based on the selection results, safety supervision system is constructed from the safety culture system, the mode and organizational structure of safety supervision, and the safety performance evaluation system. Finally, the conclusions of the study are presented in Section 5.

2. Method

2.1. Methods for the Selection of Safety Supervision Strategies

To select reasonable and attractive strategies, an analysis of the internal and external safety environments of XGC was initially conducted, and alternative safety supervision strategies were developed based on the results of the analysis. Optimal strategies were then selected from among these alternatives and used to construct the safety supervision system of XGC. Figure 1 provides a visual depiction of the proposed methods within a schematic framework. There are two main reasons why this analytical framework was applied. On the one hand, the internal and external environmental factors of XGC can be analyzed simultaneously in the decision-making process. On the other hand, multiple groups of safety supervision strategies that were unlimited in number could be investigated at the same time. The analytical methods are described in detail in the following subsection.

2.1.1. Analysis of the Internal and External Environments

Internal factor evaluation matrix (IFEM) and external factor evaluation matrix (EFEM) are usually employed to analyze how an organization is performing based on identified internal and external environments [39]. In this study, they were utilized to identify the key factors affecting the future development of corporations from the strengths and weaknesses of the internal environment along with the opportunities and threats of the external environment. Too few key factors cannot fully describe the internal and external environments of the XGC, while too many factors will make the selection of safety supervision strategy selection very difficult or even infeasible. To balance comprehensiveness and practical operability, it is suggested to control the number of key factors between 5 and 20 (15 in this study). The weights of key factors were determined according to the degree of their influence on the development, and scores were assigned to each key factor according to the effective response degree of corporations. Unreasonable setting of weights may underestimate or overestimate the importance of certain factors. To avoid the effects of unreasonable setting, both the key factors and their weights are determined according to the experience of experts. In practice, for companies that have accumulated long-term safety records, more scientific guidance can be obtained by learning knowledge from historical database. The total weighted scores of key factors were calculated by multiplying their weights by their scores. Through IFEM and EFEM analysis, the opportunities, threats, strengths and weaknesses faced by corporations in the internal and external environments can be summarized, and the corporation’s ability to deal with internal weaknesses and external risks would be assessed on the basis of the total weighted score. The sequential steps of the analyses of the IFEM and EFEM are presented below.
Step 1: Data from interviews held with senior executives and experts, and relevant materials were compiled and analyzed. We invited 12 experts, including safety managers, safety supervision and management researchers, and professional technicians, to individually select 10 strengths (opportunities) and 20 weaknesses (threats). Then, the strengths and weaknesses were sorted according to the selection count. The top 5 strengths and the top 10 weaknesses were finally identified as the key factors.
Step 2: Following consultations with experts, each key factor was assigned a weight ranging between 0 and 1.0. Specifically, each expert was invited to give an initial weight of each key factor on a ten-point scale. Then, for each key factor, we calculated the average value of initial weights after removing the highest and lowest values. Finally, the weight of each factor was obtained by normalizing the average value so that each weight is between 0 and 1 and the sum of all weights is 1. A higher weight corresponded to a higher level of importance of the key factor.
Step 3: Each key factor was assigned a score using a four-point scale, according to the effective response of corporation’s current strategies to each key factor. In IFEM (EFEM), 1 and 2 indicated main weaknesses and general weaknesses (major threats and mild threats); 3 and 4 represented general strengths and main strengths (general opportunities and major opportunities).
Step 4: The weighted score was obtained by multiplying the score of each key factor by the corresponding weight.
Step 5: The total weighted score of the internal (external) environment was calculated as the sum of all of the weighted scores. A score above a given threshold indicated that the enterprise had a healthy internal (external) environment. In this study, the score threshold was set to 2.5 [40], which is the average of the total weighted scores ranging from 1.0 to 4.0. This threshold can better distinguish healthy and unhealthy environments, and has been widely used in many application fields, such as tourism management [38,41] and waste management [42].

2.1.2. Alternative Strategy Formulation

In light of the results of the IFEM and EFEM analysis, a strength (S)-weakness (W)-opportunity (O)-threat (T) (SWOT) approach was performed to enable the formulation of alternative safety supervision strategies, in which “S” (strengths) and “W” (weaknesses) represent key internal factors and “O” (opportunities) and “T” (threats) represent key external factors [43]. This method is widely applied in the areas of sustainable business management, recycling industry development, sustainable ecotourism development [42,44,45]. In this study, it was used to systematically summarize the S, W, O and T faced by the XGC. The SO, WO, ST, WT strategies will be created, when we match S, W, and O, T with each other. SWOT analysis is intended to aid organizations in developing their advantages, overcoming their weaknesses, seizing opportunities, and avoiding threats. It enables the matching of seemingly independent key factors within a comprehensive analysis, thereby ensuring that corporations’ strategies are comprehensive and scientifically grounded.

2.1.3. The Selection of the Most Attractive Strategies

The quantitative strategic planning matrix (QSPM) is an important analytical tool for prioritizing different strategies formulated on the basis of from a SWOT analysis [46], thereby facilitating the selection of the most attractive safety supervision strategies. The attractiveness scores (AS) of alternative strategies were based on a consideration of whether each strategy could induce organizations to exploit external opportunities and internal advantages fully and reduce external threats and internal weaknesses as far as possible. AS was scored using a four-point scale, with attractiveness rated on a scale of 1–4. The total attraction scores (TAS) were calculated by multiplying the AS by the weights obtained from the analysis of the internal and external environments. The sum of total attraction scores (STAS) was obtained by adding all of the TAS obtained for a particular strategy. It reflected the attractiveness of strategies, resulting in the selection of strategies with higher STAS.

2.2. Methods for Construction of Safety Performance Evaluation System

2.2.1. Construction of the Index System

The balanced scorecard (BSC) was used to determine the safety performance evaluation indexes. This method, which was proposed by American scholars [47,48], is based on information, and comprehensively considering the driving factors of corporation performance. It encompasses four dimensions: finance, customers, internal operations, and learning and growth. The importance of each dimension depends on whether the dimension itself and the selection of indexes are consistent with the XGC’s strategy. The BSC method takes the XGC’s strategy as its core and builds a platform for evaluating strategies and performance. It allows for comprehensive control of process and target management, takes account of financial and non-financial indexes, achieves a balance between short-term safety objectives and long-term strategic planning, and promotes performance management and evaluation.

2.2.2. Calculation of Index Weights

The analytic hierarchy process (AHP), which is a combined qualitative and quantitative analysis method proposed by Saaty [49,50], an American professor, is widely used to calculate index weights. Applying this method, the elements relating to decision making are decomposed into different hierarchical structures, such as goals, criteria, and schemes. Subsequently, by solving the eigenvector of a judgment matrix, the weight of every element within each layer can be calculated, and the weight of the overall goal can be obtained through a process of hierarchical merging. The specific steps in this analytical procedure are outlined below.
Step 1: The structure model of a ladder hierarchy is established based on an index system. The top and bottom layers of the structure respectively correspond to the destination and scheme layers, and the middle layer corresponds to the criterion layer.
Step 2: A judgment matrix entailing pairwise comparison is established. In the model of hierarchical structure, the numbers 1–9 and their reciprocal are used as a scale for evaluating the importance of factors. In Judgment Matrix A (Equation (1)), the value a i j in the row i and the column j refers to the ratio of the importance of factor i with respect to factor j. Similarly, the value a j i is the ratio of the importance of factor j with respect to factor i, and is equal to 1/ a j i . Thus, Judgment Matrix A is obtained by comparing the relative importance of the factors at the current level to that at the upper level.
Step 3: The maximum eigenvalue ( λ m a x ) and its corresponding eigenvector are obtained based on the judgment matrix. Then, the eigenvector is normalized to obtain the weight ω. To test the consistency of the judgement matrix, the consistency index (CI) and consistency ratio (CR) are introduced, as shown in Equations (2) and (3).
A = [ 1 a 12 a 13 a 1 n a 21 1 a 23 a 2 n a 31 a 32 1 a 3 n a n 1 a n 2 a n 3 a n n ]
C I = λ m a x n n 1
C R = C I R I
When CI = 0, the judgment matrix demonstrates complete consistency. The greater the deviation degree between CI and 0, the more inconsistent the judgment matrix is. To further evaluate the degree of consistency, we introduce a consistency ratio (CR), which is defined as the ratio of CI to a random consistency index (RI), as shown in Table 1. If CR < 0.10, it is considered that the judgment matrix has passed the consistency test. Otherwise, the constructed judgment matrix should be modified appropriately.

3. Determining the Safety Supervision Strategies

In this paper, the EFEM, IFEM, SWOT and QSPM were applied in the case study of the safety supervision strategies of XGC.

3.1. Safety Environment Analysis

3.1.1. Internal Environment

IFEM was employed to determine the key factors affecting the future development of the XGC from the strengths and weaknesses of the internal environment. Table 2 specifically summarizes and evaluates the information within XGC, including culture, education, emergency, supervision and performance respectively. The weights, scores, and weighted scores of each key internal factor are shown in this table. The total weighted score, which reflects the quality of the XGC’s internal conditions, was calculated on the basis of the weighted scores.
As shown in Table 2, 14 key internal factors (five strengths and nine weaknesses) were identified, and the total weighted score of the internal safety environment was 2.05, which is below the score threshold of healthy environment, 2.50. This shows that the internal environment is not optimistic and the weaknesses outweigh the strengths, so the XGC needs to attach great importance to this situation. Four factors had maximum weights 0.1: S1 was an important strength, and W4, W6 and W10 were the main weaknesses. Moreover, three factors, S1, S2, and S5, had the highest score of 4, indicating that the XGC fully exploits these factors.

3.1.2. External Environment

EFEM was used to analyze the external environment of the XGC from opportunities and threats. Table 3 specifically summarizes and evaluates the information from government, law, economy, society, culture, technology and competition in the external environment. The weights, scores, and weighted scores of each key external factor are shown in this table. The weighted scores are summed to obtain the total weighted score, which was used to evaluate the ability of the XGC to grasp opportunities and avoid threats.
The EFEM analysis revealed 10 external factors (five opportunities and five weaknesses). The total weighted score of the external safety environment was 2.70, which is slightly higher than the score threshold of healthy environment (2.50), indicating that the XGC can stably cope with potential adverse effects and effectively take advantage of opportunities in the external safety environment. Moreover, O1, which had the maximum weight (0.15), was deemed the primary opportunity as well as the most important external key factor affecting the development of XGC. There were three other factors, O1, O4, and O5 that attained the highest score of 4, indicating that the XGC’s grasp of these factors is satisfactory.

3.2. SWOT Strategic Analysis

The SWOT analysis is an effective structured planning method used in the case of strategy formulation. Key pieces of information obtained from the EFEM and IFEM analyses were grouped into two main categories: strengths and weaknesses within the internal safety environment, and opportunities and threats within the external safety environment. As Table 4 shows, seemingly independent key factors were systematically considered, matched, and analyzed to enable the development of alternative safety supervision strategies.
The SWOT strategic analysis was performed after key internal and external factors relating to the XGC’s safety supervision had been identified and evaluated. Four strategic combinations were developed: SO, WO, WT, and ST, and a total of 11 alternative strategies were formulated. Interactions between strengths and opportunities (SO) show the good condition of the safety supervision and allow employing growth strategies. Relations between weaknesses and opportunities (WO) allow using reversal strategies. Analyses of the interactions between weaknesses and threats (WT) point to potential warning requiring the adoption of defensive strategies. Last, relations between strengths and threats (ST) could be considered as a potential for employing diversification strategies. However, because SWOT analysis tends to be qualitative and does not enable prioritization of the formulated strategies, it was necessary to perform a second quantitative analysis via QSPM and to adjust and reduce the number of achieved safety supervision strategies.

3.3. QSPM Strategic Selection

To provide further guidance for prioritizing alternative strategies, the QSPM was performed. This method entails evaluating and prioritizing strategies using the results of the first-stage analysis (safety environment analysis) and the second-stage analysis (SWOT strategic analysis). The left column of QSPM comprises internal and external key factors derived from the IFEM and EFEM. The top row comprises alternative strategies identified in the SWOT analysis. The specific calculations for each strategy are presented in Table 5. AS, TAS and STAS represent the attractive scores, the total attraction scores, and the sum of total attraction scores, respectively.
STAS values were employed to determine the relative attractiveness of each key factor and its associated strategy. The magnitude of differences among those values revealed the attractiveness of one strategy relative to that of others. The following STAS values of alternative strategies were computed: 6.40, 5.70, 5.60, 5.45, 5.45, 5.45, 5.45, 5.40, 5.10, 4.84 and 4.25 for WO4, WO2, WO5, WO1, WO3, ST1, ST2, WT2, WT1, SO1 and SO2 strategies respectively. Although 11 alternative strategies are noticeable, the three strategies (WO4, WO2, WO5) with higher STAS are selected from them in order to construct the safety supervision system for XGC. Hence, the safety supervision system was established from safety culture system, mode and organization structure of safety supervision and safety performance evaluation system.

4. The Construction of the Safety Supervision System

4.1. Safety Culture System

To enhance employees’ cognition and understanding of the safety concept, to cultivate employees’ awareness of safety advance, early warning and prevention, and to realize the essential safety, it is necessary to build a safety culture system and infiltrate the concept of the XGC’s safety culture into all levels of subsidiaries. Currently, there are three main problems relating to XGC’s safety culture. First, its construction is not systematic, resulting in a lack of clear direction and foresight in the construction process. Second, the extent of the safety culture’ propagation and penetration within the XGC is insufficient, and regular and systematic safety training and inspection are inadequate. Third, the terminal construction of safety culture is incomplete, and employees’ participation has been limited. The following eight dimensions were emphasized for the construction and improvement of the XGC’s safety culture to address these issues.

4.1.1. The Improvement of the Safety Management System

The safety management system is the foundation of the construction of safety culture system, and it takes the implementation of safety production responsibility as the primary. Vertically, the safety management system must be refined to “what problem it is, which level is responsible and who is responsible”. Horizontally, safety responsibility should extend from the department supervising safety production to each business department, while simultaneously managing production and safety.

4.1.2. The Innovation of the Safety Culture Carrier

The embodiment and dissemination of a safety culture is integrally linked to a carrier that vividly conveys that culture. Various external forms that are easily understood and recalled are collectively referred to as safety culture carriers. The carrier of the safety culture comprises several components: art, activities, education, and promotional materials to facilitate its dissemination and penetration. Specific art forms include safety evenings, photography exhibitions, and documentaries. Activities include safety knowledge contests, symposiums involving employees’ families, and emergency rescue drills. Forms of education include tertiary education, safety forums, and safety warning day. Environmental forms include safety banners and bulletin boards, safety signs, and light-emitting diode screens propagating safety knowledge.

4.1.3. The Reinforcement of the Safety Training

Safety training can be directly implemented as a method of developing and improving the XGC’s safety culture. It has a significant impact on employees’ safety perceptions at the workplace, which, in turn is related to the safety climate [51]. A complete system of safety training comprises four stages. The training preparation includes the division of safety training objects, analysis of safety training needs, formulation of safety training content, and implementation of a safety training plan. The training implementation needs to pay attention to the diversification of training methods, so multimedia technology can be used to strengthen the effect of safety education and training. The training assessment is a process for testing the effectiveness of employees’ learning and should exert a certain amount of pressure on the trainees and have a certain elimination rate. The training improvement should put forward improvement suggestions and methods aiming at the problems existing in the training, by surveying or interviewing participating employees.

4.1.4. The Implementation of the Safety Inspection

The implementation of the safety inspection can facilitate the development of the safety culture system. There are diverse forms of safety inspections that entail combinations of regular and irregular inspections, notifications and no notifications, and spot checks and secret checks. The XGC should disseminate the problems identified during the inspections to the subsidiaries that have not been inspected, requesting them to check each of the problems individually and report the results of the inspection and rectification process to the department that supervises safety production within a specified time frame.

4.1.5. The Improvement of the Safety Information Platform

The smooth flow of information about safety supervision is a basic prerequisite for the construction of the safety culture. Therefore, the XGC should construct a safety information platform to promote the spread and penetration of the safety culture, achieve full supervision coverage, improve the management of safety production, and speed up the circulation of safety information between the XGC and its subsidiaries. The establishment of this platform could improve the accuracy and timeliness of the disseminated information and enable the XGC to achieve zero-distance management with controllable goals, assigned responsibility, and timely action. It usually comprises the following three subsystems: the basic database, daily management, and monitoring of major hazard sources and emergency rescues.

4.1.6. The Attention of Grass-Roots Construction

Employees at the grassroots constitute the main force driving the construction of a safety culture. To promote the terminal construction of a safety culture and to improve employees’ participation, a mass supervision network could be established as a first step, and the safety confirmation method could then be popularized. The XGC should establish and improve measures for safety supervision and management, and launch a network platform and hotline for submitting complaints to ensure the employees’ safety supervision. Co-supervisors with different positions should be selected at the grassroots level and distributed across different teams and groups, working at varying times throughout the day to ensure adequate supervision of the safety of all employees. In addition, the safety confirmation method of finger oral [52] is a practical activity that enables the direct participation of grassroots employees in the construction of the safety culture. It can help to standardize employees’ safety behaviors and consolidate their safety awareness.

4.1.7. The Implementation of the Safety Incentive Method

The formulation of a safety incentive policy facilitates the implementation of a terminal safety culture. Safety incentive methods mainly comprise economic and spiritual incentives. There are three possible incentive mechanisms: positive, negative, or a combination of positive and negative incentive mechanisms. The effects of economic incentives are short-lived, whereas the effects of spiritual incentives are enduring. While constructing a safety culture, the XGC should adhere to the combinations: economic and spiritual incentives, personal and organizational incentives, and positive and negative incentives and avoid excessive bias toward a particular incentive mode.

4.1.8. The Improvement of the Safety Reporting

At the beginning of every month, the safety management personnel within the XGC’s subsidiaries should collate material on accidents, existing safety problems, and safety-related documents, inspection, and activities and report this information to the safety supervision department at the XGC. The personnel within the safety supervision department can then analyze the data and send out evaluation feedback that is returned to the subsidiaries after being identified and signed by the top safety supervisor. The subsidiaries can subsequently implement further safety management measures in light of the evaluation feedback and clarify the implementation status of the previous month’s activities when making a safety report for the following month.

4.2. Modes and Organizational Structure of Safety Supervision

The goal of the safety supervision modes is to divide the tasks and functions of safety supervision between the XGC and its subsidiaries, clarify what problems should and should not be managed by them, and avoid offside and blank management. From the perspective of the XGC, based on management modes and property right ties, the modes of safety supervision can be divided into the following categories: financial management and control, strategic management and control, and operational management and control.
The organizational structure for safety supervision is a hierarchical management framework established by the XGC to promote sustainable development and implement effective safety management. Within this framework, safety management authority is determined and responsibilities are allocated. However, the main problems relating to the modes and organizational structure of safety supervision have already been identified through a process of inquiry and field investigation as follows. (1) The modes of safety supervision for the XGC’s subsidiaries were unclear and not systematic, and supervision work was in a state of “doing while observing.” (2) There were only five full-time management personnel within the XGC’s safety supervision department, which was clearly inadequate, and there was no clear division of labor among them, nor requirements regarding personnel allocation. Full coverage of the safety supervision work is difficult to achieve, and work efficiency cannot be improved. Safety supervision tends to remain at a superficial level. Therefore, the following optimization methods are proposed to improve the modes and organizational structure of safety supervision.

4.2.1. Supervision Modes

More than 30 wholly-owned and controlled subsidiaries of the XGC are recommended to adopt the safety supervision mode of the strategic control, while participating companies should implement the safety supervision mode of the financial control. Strategic control provides these subsidiaries with greater autonomy. The XGC could authorize its subsidiaries to implement safety management work and provide overall supervision, which is conducive to the implementation of safety production work. Moreover, the XGC head office could assist subsidiaries in many areas, such as human resources, financial resources, access to information and technology, and legal assistance. This strategy will enable the XGC to save on safety management costs and promote the sharing of available resources. When implementing the financial control mode of safety supervision, the XGC would not participate in the management of the specific production and operation processes of its subsidiaries. Instead, its focus would be on whether the subsidiaries have completed work relating to the issued financial indicators. In addition, the XGC can send management personnel to the participating subsidiaries to guide and supervise their safety management procedures.

4.2.2. Organizational Structure

In this paper, the study on the organization structure of safety supervision is actually to divide the safety management tasks and responsibilities, and to ensure the work focus of the safety supervision. The XGC should establish a safety production committee and a safety supervision department that are fully responsible for the overall safety production supervision. The safety supervision department is the core component of the organizational structure and includes both technical and management personnel, with the proportion of management personnel exceeding that of technical personnel, given that management is the key focus of this department. In addition, there is an urgent need to increase the number of full-time personnel in the safety supervision department. These staff can be recruited from the XGC’s cadre of part-time supervisors or from the wider society according to the required proportion of personnel, and a comprehensive division of labor should be implemented, as shown in Figure 2.
Figure 2 shows the components of the organizational structure. The first is the safety inspection team, whose members are responsible for inspecting the safety implementation procedures of the XGC’s subsidiaries, which covers daily, seasonal, and special inspections. The proportion of technical personnel within the safety inspection team should exceed that of the management personnel, and it is recommended to allot one technical personnel and two management personnel to each business area. The second component, safety culture, is mainly conceptualized in the form of a safety culture carrier, and its basic guarantee is safety management rules and regulations. Therefore, the main tasks of members of the safety culture construction team are to refine safety management rules and regulations, and develop a safety culture carrier. This team mainly comprises management personnel, with one or two properly equipped technicians. The third component is the safety education and training team, which is responsible for organizing and arranging safety education and training for the principal heads, safety production supervisors, safety management personnel, and emergency rescue personnel. It comprises management personnel and properly equipped technical personnel. The fourth component is the safety accident statistics team, which is responsible for compiling statistics relating safety accidents, summarizing and analyzing the causes of accidents, and collecting and sorting out the various kinds of safety information reported by subsidiaries. This team is mainly composed of management personnel. The safety performance evaluation team, which is the fifth component, focuses on process and result evaluations. This team could help to construct an effective evaluation mechanism for the XGC and promote the implementation of safety management between subsidiaries and industrial departments. This team mainly comprises management personnel. The sixth component is the team researching safety management systems, which can be composed of the leaders of other teams. Its focus is on identifying and learning domestic as well as international best practices and concepts of safety management. Most of the team members are management personnel. The final component of the organizational structure is a team of safety supervisors, who are sent by the safety supervision department to the subsidiaries to guide and inspect their safety management work. The members of this team, who are mainly technical personnel, regularly report on the safety production work to the XGC.

4.3. The Safety Performance Evaluation System

The goal of safety performance evaluation is to improve the XGC’s safety performance and subsequently achieve the purpose of reducing investments in safety production by identifying and developing the abilities of the employees and the cooperative skills of the teams [53]. Safety performance evaluation system is based on the key factors to select evaluation indexes and to define the weights of each index and, to evaluate employees’ operational behaviors and work results. High-performing subsidiaries should be rewarded, and punitive measures should be taken against those that do not perform well according to the results of the evaluation.

4.3.1. Determining Indexes

The balanced scorecard (BSC) was used to establish the safety performance evaluation index system on the basis of four dimensions: safety finance, external safety management, internal safety management, learning and growth, as shown in Table 6.

4.3.2. Determining Weights

We employ the analytic hierarchy process (AHP) introduced in Section 2.2.2 to quantify the weights of different safety performance evaluation indexes. The method is widely used in group decision making applications due to its ability to decomposes the complex decision problem into a hierarchy of more easily comprehended sub-problems. A potential problem in its practical use is the complex computations caused by the large order of the judgment matrix. In this case, computer programming software (e.g., MATLAB) can be used to improve the computational performance of the AHP method. Table 7, Table 8 and Table 9 outline the specific process used to determine index weights at three levels.
(1)
The third-level index weights
The safety investment corresponding to the third-level index weights were calculated as follows.
With the help of MATLAB software, the weight vector (ω) and the consistency ratio (CR) of judgment matrix were calculated using Equations (1)–(3) shown in Section 2.2.2, Their respective values were as follows: ω = (0.4955, 0.1347, 0.0380, 0.2636, 0.0682), and CR = 0.0711. As the value of CR was less than 0.1, the judgment matrix passed the consistency test.
Likewise, by comparing the indexes in pairs, constructing the judgement matrices and calculating the CI or CR, it can be concluded that the judgment matrices of safety benefit, safety image of the XGC, stakeholder, basic management, equipment and facilities management, emergency rescue management, hidden trouble detection and control, major hazard source management, operation safety, safety accident management, occupational health management, safety management organizations, safety education and training, safety regular meeting and employee literacy have all passed the consistency test. Furthermore, the weight vectors of all of the judgement matrices can be also calculated, so the third-level index weights are determined (see Table 6).
(2)
The second-level index weights
The safety finance corresponding to the second-level index weights were calculated as follows.
Equations (1)–(3) were used to calculate the weight vector (ω) and the consistency index (CI) of the judgment matrix, and the following values were obtained: ω = (0.7500, 0.2500), and CI = 0. Given that CI = 0, the judgment matrix was deemed to be completely consistent.
Following the same calculation steps shown above, the judgment matrix constructed for the external safety management index (CI = 0) was found to have complete consistency, and the judgment matrix constructed for the internal safety management and learning and growth indexes (CR < 0.1) passed the consistency test. Second-level index weights were obtained by calculating the weight vectors of the judgment matrices (see Table 6).
(3)
The first-level index weights
The first-level index weights of safety performance index system were calculated as follows.
The weight vector ω and the consistency ratio (CR) of judgment matrix were calculated with the help of the MATLAB software using Equations (1)–(3). The following values were obtained:
ω = (0.1998, 0.0781, 0.5222, 0.1998) and CR = 0.0161. Given that CR < 0.1, the judgment matrix was deemed to have passed the consistency test.
Finally, according to the determined indexes and the calculated weight of each index, the index evaluation system of safety performance of the XGC (see Table 6) was established. The final score for the safety performance evaluation can be calculated after the experts have assigned a score to each index.

5. Conclusions

This case study served to provide reliable strategic guidance for the construction of a safety supervision system for X Group Corporation (XGC). EFEM and IFEM were employed to analyze the external and internal safety environment faced by the XGC. Accordingly, 10 key external factors (five opportunities and five threats) and 14 key internal factors (five strengths and nine weaknesses) that would affect the future development of the XGC were identified. The score of 2.70 in EFEM indicates the XGC could reduce potential threats and fully exploit available opportunities. However, the score of 2.05 in IFEM showed that the XGC’s production conditions were not satisfactory. Based on these analysis results, the SWOT analysis was performed, leading to the formulation of 11 alternative safety supervision strategies, but it tended to qualitative analysis. Therefore, a qualitative analysis method QSPM was applied to select the most attractive safety supervision strategies from alternatives. Subsequently, the three most attractive strategies were determined, which included construction of the safety culture system, clarification of modes and organizational structure of safety supervision, and improvement of the safety performance evaluation system. These strategies were fully implemented in the construction of the XGC’s safety supervision system, as described in Section 4 of this paper.
In conclusion, EFEM and IFEM were found to be effective methods for identifying positive and negative factors affecting the XGC’s development. Furthermore, analytical tools, such as SWOT and QSPM, are useful for formulating and optimizing safety supervision strategies. The research model and programs described in this article will be constantly revised and updated, thus facilitating future in-depth studies aimed at identifying appropriate safety supervision strategies.
The methodology can be widely used for strategic decision-making of corporations. The factors and weights determined in this study can serve as a preliminary reference for the construction of the safety supervision system of corporations with similar background to XGC. However, they should be refined according to specific situation (strengths, weaknesses, opportunities and threats) of a target corporation. Although the experience of experts can provide certain guidance for selecting appropriate key factors and weights, the subjectivity should be reduced in the future.

Author Contributions

Conceptualization, methodology, writing—original draft preparation: Q.W.; investigation, data curation: X.P.; supervision, writing—review and editing: Z.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Key R&D Program of China, grant number 2018YFC0808404.

Acknowledgments

We gratefully acknowledge the comments from the editor and the anonymous reviewers.

Conflicts of Interest

There is no conflict of interest.

References

  1. O’Toole, M. The relationship between employees’ perceptions of safety and organizational culture. J. Saf. Res. 2002, 33, 231–243. [Google Scholar] [CrossRef]
  2. Advisory Committee on the Safety of Nuclear Installations (ACSNI). Study Group on Human Factors; Third Report, Organizing for Safety; HMSO: London, UK, 1993. [Google Scholar]
  3. Kennedy, R.; Kirwan, B. Development of a hazard and operability-based method for identifying safety management vulnerabilities in high risk systems. Saf. Sci. 1998, 30, 249–274. [Google Scholar] [CrossRef]
  4. Guldenmund, F.W. The nature of safety culture: A review of theory and research. Saf. Sci. 2000, 34, 215–257. [Google Scholar] [CrossRef]
  5. Hale, A.R. Culture’s confusions. Saf. Sci. 2000, 34, 1–14. [Google Scholar] [CrossRef]
  6. Richter, A.; Koch, C. Integration, differentiation and ambiguity in safety cultures. Saf. Sci. 2004, 42, 703–722. [Google Scholar] [CrossRef]
  7. Olive, C.; O’Connor, T.M.; Mannan, M.S. Relationship of safety culture and process safety. J. Hazard. Mater. 2006, 130, 133–140. [Google Scholar] [CrossRef]
  8. Biggs, S.E.; Banks, T.D.; Davey, J.D.; Freeman, J.E. Safety leaders’ perceptions of safety culture in a large Australasian construction organization. Saf. Sci. 2013, 52, 3–12. [Google Scholar] [CrossRef] [Green Version]
  9. Liu, S.; Zhou, Y.; Cheng, Y.; Zhu, Y.-Q. Multiple mediating effects in the relationship between employees’ trust in organizational safety and safety participation behavior. Saf. Sci. 2020, 125, 104611. [Google Scholar] [CrossRef]
  10. Çalış, S.; Büyükakıncı, B.Y. Occupational Health and Safety Management Systems Applications and A System Planning Model. Procedia Comput. Sci. 2019, 158, 1058–1066. [Google Scholar] [CrossRef]
  11. American National Standards Institute/American Society of Safety Engineers. ANSI/ASSE Z10-2012 American National Standard for Occupational Health and Safety Management Systems; American National Standards Institute: Fairfax, CA, USA, 2012. [Google Scholar]
  12. Autenrieth, D.A.; Brazile, W.J.; Sandfort, D.R.; Douphrate, D.I.; Roman-Muniz, I.; Reynolds, S.J. The associations between occupational health and safety management system programming level and prior injury and illness rates in the U.S. dairy industry. Saf. Sci. 2016, 84, 108–116. [Google Scholar] [CrossRef]
  13. Yazdani, A.; Neumann, W.P.; Imbeau, D.; Bigelow, P.L.; Pagell, M.; Wells, R.A. Prevention of musculoskeletal disorders within management systems: A scoping review of practices, approaches, and techniques. Appl. Ergon. 2015, 51, 255–262. [Google Scholar] [CrossRef] [PubMed]
  14. Ghahramani, A. Factors that influence the maintenance and improvement of OHSAS 18001 in adopting companies: A qualitative study. J. Clean. Prod. 2016, 137, 283–290. [Google Scholar] [CrossRef] [Green Version]
  15. Da Silva, S.L.C.; Amaral, F.G. Critical factors of success and barriers to the implementation of occupational health and safety management systems: A systematic review of literature. Saf. Sci. 2019, 117, 123–132. [Google Scholar] [CrossRef]
  16. British Standards Institution. Occupational Health and Safety Management Systems—Requirements (BS OHSAS, 18001); Occupational Health and Safety Assessment Series; BSI: London, UK, 2007. [Google Scholar]
  17. British Standards Institution. BS 8800: Guide to Occupational Health and Safety Management Systems; British Standards Institution: London, UK, 1996. [Google Scholar]
  18. Honkasalo, A. Occupational health and safety and environmental management systems. Environ. Sci. Policy 2000, 3, 39–45. [Google Scholar] [CrossRef]
  19. Neal, A.; Griffin, M.; Hart, P. The impact of organizational climate on safety climate and individual behavior. Saf. Sci. 2000, 34, 99–109. [Google Scholar] [CrossRef]
  20. Neal, A.; Griffin, M.A. A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. J. Appl. Psychol. 2006, 91, 946–953. [Google Scholar] [CrossRef] [Green Version]
  21. Griffin, M.A.; Neal, A. Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation. J. Occup. Health Psychol. 2000, 5, 347–358. [Google Scholar] [CrossRef]
  22. Motowidlo, S.J.; Van Scotter, J.R. Evidence that task performance should be distinguished from contextual performance. J. Appl. Psychol. 1994, 79, 475–480. [Google Scholar] [CrossRef]
  23. Tong, R.; Yang, X.; Parker, T.; Zhang, B.; Wang, Q. Exploration of relationships between safety performance and unsafe behavior in the Chinese oil industry. J. Loss Prev. Process Ind. 2020, 66, 104167. [Google Scholar] [CrossRef]
  24. Gao, Y.; Fan, Y.; Wang, J.; Li, X.; Pei, J. The mediating role of safety management practices in process safety culture in the Chinese oil industry. J. Loss Prev. Process. Ind. 2019, 57, 223–230. [Google Scholar] [CrossRef]
  25. Liu, S.; Mei, Q.; Shen, B.; Zhang, Z. Literature review on safety performance. China Saf. Sci. J. 2010, 20, 131–139. [Google Scholar]
  26. Sanni-Anibire, M.O.; Mahmoud, A.S.; Hassanain, M.A.; Salami, B.A. A risk assessment approach for enhancing construction safety performance. Saf. Sci. 2020, 121, 15–29. [Google Scholar] [CrossRef]
  27. Alasamri, H.; Chrisp, M.T.; Bowles, G. A framework for enhancing and improving the safety culture on Saudi construction sites. In Proceedings of the 28th Annual ARCOM Conference, Edinburgh, UK, 3–5 September 2012; Association of Researchers in Construction Management: Glasgow, UK; pp. 475–485. [Google Scholar]
  28. Choudhry, R.M.; Fang, D.; Mohamed, S. The nature of safety culture: A survey of the state-of-the-art. Saf. Sci. 2007, 45, 993–1012. [Google Scholar] [CrossRef]
  29. Jung, Y.; Gibson, G.E. Planning for computer integrated construction. J. Comput. Civ. Eng. 1999, 13, 217–225. [Google Scholar] [CrossRef]
  30. Jung, Y.; Chin, S.; Kim, K. Informatization index for the construction industry. J. Comput. Civ. Eng. 2004, 18, 267–276. [Google Scholar] [CrossRef]
  31. Gabbar, H.A.; Chung, P.W.H.; Shimada, Y.; Suzuki, K. Computer-aided plant enterprise safety management system (CAPE-SAFE)—Design framework. Syst. Eng. 2002, 5, 109–122. [Google Scholar] [CrossRef]
  32. Marciano, F.; Cocca, P.; Stefana, E.; Alberti, M. Selection of Occupational Health and Safety Management Software Using Analytic Hierarchy Process. In Proceedings of the 21st Summer School Francesco Turco, Naples, Italy, 13–15 September 2016; pp. 252–256. [Google Scholar]
  33. Donič, J. The promotion of software applications as important part of effective management of occupational safety and health at work. In Advances in Safety Management and Human Factors; Springer: Berlin/Heidelberg, Germany, 2016; pp. 47–51. [Google Scholar]
  34. Park, C.S.; Kim, H.J. 2013. A framework for construction safety management and visualization system. Autom. Constr. 2013, 33, 95–103. [Google Scholar] [CrossRef]
  35. Wang, B.; Wu, C. An international literature review of safety management information system research—A typical literature analysis based on Web of Science. J. Intell. 2018, 37, 131–136. [Google Scholar]
  36. Lind, S.; Kivistö-Rahnasto, J. Utilization of external accident information in companies’ safety promotion-Case: Finnish metal and transportation industry. Saf. Sci. 2008, 46, 802–814. [Google Scholar] [CrossRef]
  37. Vătăsescu, M. Software for the occupational health and safety integrated management system. J. Ill. State Hist. Soc. 2015, 1648, 766–771. [Google Scholar]
  38. Reihanian, A.; Mahmood, N.Z.B.; Kahrom, E.; Hin, T.W. Sustainable tourism development strategy by SWOT analysis: Boujagh National Park, Iran. Tour. Manag. Perspect. 2012, 4, 223–228. [Google Scholar] [CrossRef]
  39. Ommani, A.R. Strategies of rural development in Shoushtar Township of Iran (applying SWOT method). J. Am. Sci. 2011, 7, 969–972. [Google Scholar]
  40. David, F.R.; David, F.R. Strategic Management: A Competitive Advantage Approach, Concepts and Cases, 17th ed.; Pearson–Prentice Hall: Upper Saddle River, NJ, USA, 2020. [Google Scholar]
  41. Ghorbani, A.; Raufirad, V.; Rafiaani, P.; Azadi, H. Ecotourism sustainable development strategies using SWOT and QSPM model: A case study of Kaji Namakzar Wetland, South Khorasan Province, Iran. Tour. Manag. Perspect. 2015, 16, 290–297. [Google Scholar] [CrossRef]
  42. Zhang, H.; Chen, M. Research on the recycling industry development model for typical exterior plastic components of end-of-life passenger vehicle based on the SWOT method. Waste Manag. 2013, 33, 2341–2353. [Google Scholar] [CrossRef]
  43. Hill, T.; Westbrook, R. SWOT Analysis: It’s Time for a Product Recall. Long Range Plan. 1997, 30, 46–52. [Google Scholar] [CrossRef]
  44. Lee, S.F.; Ko, A.S.O. Building balanced scorecard with SWOT analysis, and implementing “Sun Tzu’s The Art of Business Management Strategies” on QFD methodology. Manag. Audit. J. 2000, 15, 68–76. [Google Scholar] [CrossRef] [Green Version]
  45. Mallick, S.K.; Rudra, S.; Samanta, R. Sustainable ecotourism development using SWOT and QSPM approach: A study on Rameswaram, Tamil Nadu. Int. J. Geoheritage Park. 2020, 8, 185–193. [Google Scholar] [CrossRef]
  46. Dyson, R.G. Strategic development and SWOT analysis at the University of Warwick. Eur. J. Oper. Res. 2004, 152, 631–640. [Google Scholar] [CrossRef]
  47. Kaplan, R.S.; Norton, D.P. The Balanced Scorecard—Measures that Drive Performance. Harv. Bus. Rev. 1991, 70, 71–79. [Google Scholar]
  48. Kaplan, R.S.; Norton, D.P. Using the balanced scorecard as a strategic management system. Harv. Bus. Rev. 1996, 74, 75–85. [Google Scholar]
  49. Saaty, T.L. The Analytic Hierarchy Process; Agricultural Economics Review; Mcgraw Hill: New York, NY, USA, 1980. [Google Scholar]
  50. Saaty, T.L. What Is the Analytic Hierarchy Process? Mathematical Models for Decision Support; Springer: Berlin/Heidelberg, Germany, 1988; pp. 109–121. [Google Scholar]
  51. Cooper, M.D.; Phillips, R.A. Exploratory analysis of the safety climate and safety behavior relationship. J. Saf. Res. 2004, 35, 497–512. [Google Scholar] [CrossRef] [PubMed]
  52. Li, X. A Study on the Safety Culture Construction of Private Coal Mine Based on Ideological Education. Ph.D. Thesis, China University of Mining and Technology, Xuzhou, China, 2016. [Google Scholar]
  53. Ding, H.; Xie, J. Construction of enterprise safety performance management system. J. Saf. Sci. Technol. 2008, 4, 107–110. [Google Scholar]
Figure 1. A schematic framework of proposed methods for constructing the safety supervision system.
Figure 1. A schematic framework of proposed methods for constructing the safety supervision system.
Ijerph 17 09486 g001
Figure 2. The proposed organizational structure of the safety supervision department.
Figure 2. The proposed organizational structure of the safety supervision department.
Ijerph 17 09486 g002
Table 1. Random consistency index (RI).
Table 1. Random consistency index (RI).
n1234567891011121314
RI000.520.891.121.241.361.411.461.491.521.541.561.58
Table 2. Internal factor evaluation matrix (IFEM) analysis.
Table 2. Internal factor evaluation matrix (IFEM) analysis.
Key Internal FactorsWeightScoreWeighted
Score
Strengths
S1 The XGC’s leaders attach importance to safety supervision.0.1040.40
S2 The Safety management personnel of the XGC have solid professional
knowledge and rich experience in safety management.
0.0540.20
S3 Safety management organization of the XGC is complete;0.0530.15
S4 Subsidiaries have a certain safety management foundation0.0530.15
S5 Safety investment has performed well.0.0540.20
Weaknesses
W1 The functional orientation of the XGC and subsidiaries is unclear0.1020.20
W2 The safety supervision chain is too long.0.0520.10
W3 The concept of safety supervision is backward.0.0520.10
W4 The division of safety management responsibilities is unclear.0.1010.10
W5 The safety supervision information platform is imperfect.0.0510.05
W6 The safety culture system is not perfect.0.1010.10
W7 The relevant safety management system is not perfect.0.0510.05
W8 The Safety management personnel of the XGC are not equipped enough.0.0520.10
W9 The safety performance evaluation system is not perfect.0.0510.05
W10 The safety management level of subsidiaries is uneven.0.1010.10
(1) Safety education and training have not been fully implemented.
(2) The setup of the management organization is unreasonable.
(3) Some employees have limited educational level, professional knowledge and safety awareness.
(4) The construction of safety standardization is a mere formality, paying attention to the superficial things.
(5) Emergency plan and emergency drill have not been implemented;
(6) Accident handling is not timely and not in place.
(7) Risk identification, hidden danger investigation, and anti-three violations activities are not thoroughly implemented.
(8) Some subsidiary leaders do not pay enough attention to safety.
Total 2.05
Table 3. External factor evaluation matrix (EFEM) analysis.
Table 3. External factor evaluation matrix (EFEM) analysis.
Key External FactorsWeightScoreWeighted Score
Opportunities
O1 The state and society attach great importance to the safety production of enterprises, which promotes the progress of safety supervision of the XGC.0.1540.60
O2 The development of science and technology provides technological support for the safe production of the XGC.0.1030.30
O3 Safety management theories keep continuous improvement, which provides theoretical support for safety management work.0.1030.30
O4 Safety standardization construction brings opportunities for XGC to create good safety climate.0.1040.40
O5 The strategy of “enterprises going out” provides an opportunity to realize the essential safety of XGC.0.1040.40
Threats
T1 Coal and construction are high-risk industries, which bring challenges to safety management.0.1010.10
T2 The global economy is in a downturn, and the XGC is facing overcapacity in some industries and industrial restructuring, which creates new difficulties for safety supervision.0.1020.20
T3 Safety has become the foundation and premise of the XGC’s sustainable development.0.1020.20
T4 Safety laws and regulations system in China are not perfect, and safety management is prone to loopholes.0.1010.10
T5 A safe, healthy and hygienic working environment is the basic requirement for ensuring safe production and optimizing the structure of human resources.0.0520.10
Total 2.70
Table 4. Strength-weakness-opportunity-threat (SWOT) matrix analysis.
Table 4. Strength-weakness-opportunity-threat (SWOT) matrix analysis.
Key Internal FactorsStrengths (S)Weaknesses (W)
Key External Factors S1, S2, S3, S4, S5W1, W2, W3, W4, W5, W6, W7, W8, W9, W10
Opportunities(O)SO StrategiesWO Strategies
O1, O2, O3, O4, O51. Popularize safety production science and technology (S1, S3, S5, O1, O2, O4)
2. Adopt scientific safety management theories and rich safety management experience (S2, S4, O3, O5)
1. Construct the responsibility system of safety supervision (W1, W4, W7, O1, O3, O4, O5)
2. Clarify mode and organization structure of safety supervision (W1, W2, W3, W8, O1, O3, O4, O5)
3. Improve safety supervision information platform (W2, W5, W8, W10, O1, O2)
4. Implement construction of safety culture system (W6, W7, W10, O1, O4, O5)
5. Improve the safety performance evaluation system (W3, W4, W7, W9, O1, O3, O4, O5)
Threats (T)ST StrategiesWT Strategies
T1, T2, T3, T4, T51. Improve the safety risk prevention and control system (S1, S2, S3, S4,S5, T1, T2, T3, T4)
2. Implement occupational health standardization construction (S1, S2, S3, S4, S5, T3, T5)
1. Improve the professional level and skills of safety management personnel (W8, W9, W10, T1, T2)
2. Establish and improve safety rules and regulations (W4, W7, T3, T4, T5)
Table 5. Quantitative strategic planning matrix (QSPM) analysis.
Table 5. Quantitative strategic planning matrix (QSPM) analysis.
Key FactorsWeightAlternative Strategies
SO1SO2WO1WO2WO3WO4WO5ST1ST2WT1WT2
ASTASASTASASTASASTASASTASASTASASTASASTASASTASASTASASTAS
StrengthS10.1040.4020.2030.3030.3040.4030.3030.3020.2020.2020.2030.30
S20.0530.1540.2020.1040.2020.1040.2040.2030.1530.1530.1530.15
S30.0530.1520.1020.1040.2020.1030.1530.1530.1530.1530.1520.10
S40.0530.1530.1520.1030.1520.1040.2030.1530.1530.1530.1530.15
S50.0540.2020.1030.1530.1540.2040.2030.1530.1530.1530.1520.10
WeaknessesW10.0510.0520.1030.1520.1010.0540.2030.1530.1530.1530.1540.20
W20.0530.1530.1530.1540.2040.2040.2040.2040.2040.2030.1520.10
W30.0520.1040.2030.1530.1530.1530.1530.1530.1530.1530.1530.15
W40.0510.0510.0530.1530.1520.1030.1520.1020.1020.1020.1010.05
W50.1010.1010.1040.4030.3020.2030.3030.3030.3030.3020.2030.30
W60.0530.1530.1520.1030.1530.1530.1530.1530.1530.1520.1010.05
W70.1020.2030.3040.4030.3020.2040.4030.3030.3030.3030.3030.30
W80.0520.1020.1040.2020.1040.2030.1530.1530.1530.1530.1540.20
W90.0530.1530.1520.1040.2020.1030.1530.1530.1530.1520.1020.10
W100.0510.0520.1030.1520.1030.1530.1540.2030.1530.1530.1510.05
W110.1030.3030.3030.3030.3030.3040.4030.3030.3030.3030.3030.30
OpportunitiesO10.1520.3020.3030.4520.3030.4530.4520.3030.4530.4530.4530.45
O20.1040.4010.1020.2020.2040.4030.3030.3030.3030.3010.1010.10
O30.1010.1030.3030.3030.3020.2030.3020.2020.2020.2020.2030.30
O40.1030.3010.1030.3020.2030.3030.3030.3030.3030.3030.3030.30
O50.1030.3020.2030.3040.4030.3040.4030.3020.2020.2030.3040.40
ThreatsT10.1030.3030.3020.2030.3040.4030.3030.3030.3030.3030.3030.30
T20.1020.2010.1010.1020.2020.2020.2010.1010.1010.1010.1020.20
T30.1030.3020.2020.2030.3030.3030.3030.3030.3030.3030.3030.30
T40.1010.1010.1030.3030.3010.1030.3030.3030.3030.3030.3040.40
T50.0520.1020.1020.1030.1520.1020.1020.1020.1020.1020.1010.05
STAS 4.85 4.25 5.45 5.70 5.45 6.40 5.60 5.45 5.45 5.10 5.40
Table 6. Safety performance evaluation index system.
Table 6. Safety performance evaluation index system.
Safety performance
index system (U)
First-Level IndexWeightSecond-Level IndexWeightThree-Level IndexWeight
Safety finance
U1
0.1998Safety investment
U11
0.7500①Cost of safety technical measures U111
②Cost of industrial hygiene measures U112
③Cost of Safety education and training U113
④Cost of labor protection necessities U114
⑤Cost of daily safety management U115
0.4955
0.1347
0.0380
0.2635
0.0682
Safety benefit U120.2500①Reduction of accident losses U121
②Reduction of production losses U122
③Reduction of property losses U123
0.4286
0.4286
0.1429
External safety management
U2
0.0781Safety image of the XGC U210.7500①Social satisfaction with XGC’s safety U211
②Rank and position in the same industry U212
0.5000
0.5000
Stakeholders U220.2500①Safety management of stakeholder U221
②Management and personnel qualifications U222
0.7500
0.2500
Internal safety management
U3
0.5222Basic management U310.1093①Annual safety targets U311
②safety commitment U312
③Safety strategic planning U313
④Safety laws and regulations U314
0.0819
0.2346
0.2346
0.4488
Internal safety management
U3
0.5222Equipment and facilities management U320.0458①Equipment safety management U321
②Special operation equipment management U322
③Safety protection equipment management U323
0.2000
0.2000
0.6000
Emergency rescue management U330.0458①Emergency organization U331
②Emergency plan U332
③Emergency training and learning U333
④Emergency equipment and materials U334
⑤Emergency drill U335
⑥Emergency response U336
⑦Emergency recovery U337
0.0999
0.0606
0.1799
0.0999
0.1799
0.3398
0.0401
Hidden trouble detection and control U340.1093①Hidden trouble detection scheme U341
②Hidden trouble detection U342
③Hidden trouble control U343
④Forecast and precaution U344
⑤Hidden trouble information files U345
0.4447
0.2029
0.2029
0.0965
0.0530
Major hazard source management U350.2551①Identification and assessment of major hazard sources U351
②Records and Files of major hazard sources U352
③Supervision and management of major hazard sources U353
0.4286
0.4286
0.1429
Operation safety U360.0458①Site management and process control U361
②Safety signs setting U362
③Operation behaviors management U363
0.6370
0.1047
0.2583
Safety accident management U370.0244①Accident pre-control index U371
②Accident investigation and handling U372
③Accident statistics and analysis U373
④Accident files U374
⑤Accident report learning U375
0.2440
0.1069
0.0619
0.0619
0.5253
Occupational health management U380.1093①Occupational hazard management U381
②Occupational health monitoring U382
③Employees’ health surveillance U383
0.2000
0.2000
0.6000
Safety management organizations U390.2551①personnel allocation U391
②Institutional responsibility U392
0.2500
0.7500
Learning and growth
U4
0.1998Safety education and training U410.2583①The plan of safety education and training U411
②The process of safety education and training U412
③The results of safety education and training U413
0.1047
0.6370
0.2583
Safety regular meeting U420.1047①Contents of regular safety meetings U421
②Numbers of regular safety meetings U422
③Attendance rate of employees U423
0.6370
0.1047
0.2583
Employee literacy U430.6370①The style of leaders U431
②Professional level of management U432
③Safety awareness of operators U433
0.1047
0.2583
0.6370
Table 7. Judgment matrix of the safety investment.
Table 7. Judgment matrix of the safety investment.
U111U112U113U114U115
U11115736
U1121/5151/33
U1131/71/511/61/3
U1141/33615
U1151/61/331/51
Table 8. Judgment matrix of the safety finance.
Table 8. Judgment matrix of the safety finance.
U11U12
U1113
U121/31
Table 9. Judgment matrix of the safety performance evaluation index.
Table 9. Judgment matrix of the safety performance evaluation index.
U1U2U3U4
U1131/31
U21/311/51/3
U33513
U4131/31
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, Q.; Peng, X.; Li, Z. Determining Strategies for Constructing the Safety Supervision System by Considering Both Internal and External Safety Environments: A Case Study of X Group Corporation, China. Int. J. Environ. Res. Public Health 2020, 17, 9486. https://doi.org/10.3390/ijerph17249486

AMA Style

Wang Q, Peng X, Li Z. Determining Strategies for Constructing the Safety Supervision System by Considering Both Internal and External Safety Environments: A Case Study of X Group Corporation, China. International Journal of Environmental Research and Public Health. 2020; 17(24):9486. https://doi.org/10.3390/ijerph17249486

Chicago/Turabian Style

Wang, Qiaoli, Xianyan Peng, and Zijun Li. 2020. "Determining Strategies for Constructing the Safety Supervision System by Considering Both Internal and External Safety Environments: A Case Study of X Group Corporation, China" International Journal of Environmental Research and Public Health 17, no. 24: 9486. https://doi.org/10.3390/ijerph17249486

APA Style

Wang, Q., Peng, X., & Li, Z. (2020). Determining Strategies for Constructing the Safety Supervision System by Considering Both Internal and External Safety Environments: A Case Study of X Group Corporation, China. International Journal of Environmental Research and Public Health, 17(24), 9486. https://doi.org/10.3390/ijerph17249486

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop