ABSTRACT
Purpose: This study seeks to understand how the managers of the civil construction industry perceive risk management in their projects and businesses based on a case study in the region of Volta Redonda-RJ.
Design/methodology/approach: Primary data was collected through questionnaires and interviews. The primary quantitative data were analyzed using Paraconsistent Logic and presented with descriptive statistics.
Findings: It was found that 87% of the sample did not go through any steps of the risk management process. For those that did, the steps were essentially intuitive and informal. Further, a distortion was observed on behalf of the managers regarding the understanding of what risk management is, what it is helpful for, and the difference between their projects and the business itself.
Practical implications: Although not generalizable, the research results show a high appetite for risk on the part of contractors but a low willingness to absorb its effects.
Originality/value: Studies that apply paraconsistent logic to understand builders’ perceptions of the importance of risk management are scarce in the literature. Also, there is little literature about the management aspects of this industry.
Keywords: Risk management; Business management; Risk in construction projects
RESUMO
Objetivo – Este estudo busca compreender como os gestores da construção civil percebem a gestão de riscos em seus projetos e negócios a partir de um estudo de caso na cidade de Volta Redonda-RJ.
Método – Os dados foram coletados por meio de questionários e entrevistas. Os dados quantitativos primários foram analisados pela Lógica Paraconsistente e apresentados por meio de estatística descritiva.
Resultados – Constatou-se que 87% da amostra não passou por nenhuma etapa do processo de gestão de riscos. Para aqueles que o fizeram, as etapas foram essencialmente intuitivas e informais. Além disso, observou-se uma distorção por parte dos gestores quanto ao entendimento do que é gestão de risco, para que serve e a diferença entre seus projetos e o próprio negócio.
Implicações práticas – Apesar de não generalizáveis, os resultados da pesquisa mostram um alto apetite ao risco por parte dos construtores, mas baixa disponibilidade de absorção de seus efeitos.
Originalidade – Estudos que aplicam Lógica Paraconsistente para entender a percepção dos construtores a respeito da importância da gestão de risco são escassos na literatura. Além disso, há pouca literatura sobre os aspectos de gestão desta indústria.
Palavras-chave: Gerenciamento de risco; Gestão de negócios; Risco em projetos de construção
1 INTRODUCTION
All civil construction projects present risks (Rehman, Thaheem, Nasir, & Khan, 2020; Regis, 2023). Their projects are unique and complex, with numerous actors involved in the planning and execution stages, and require significant investments. The contractor, understood as the manager of the construction company, assumes an exceptionally high risk, especially when contracting, given that, as experienced as they may be, they are not able to fully predict all potential contingencies in their action plans (Sivagami & Sarath, 2018; Siraj & Fayek, 2019).
In the civil construction industry (CCI), the risk is evident. It can be described as exposure to events that may culminate in economic losses, occurring through a convergence of vulnerabilities and threats, and being noticeable due to their impact on the time, cost, and quality of projects and final products (Ameyaw, Chan, Owusu-Manu, & Coleman, 2015; Dixit, Sharma, & Singh, 2020).
Seeking to assist managers from the CCI in risk management (RM), the use of management support techniques for the decision-making process is widely recommended in the literature, highlighting Fuzzy Logic Valuation and its association with Analytic Hierarchy Process (Tavakolan & Etemadinia, 2017; Cavalcante, 2019); as well as the book on RM in civil construction projects proposed by the Project Management Institute – PMI (PMI, 2016; Otero, 2018); and the Building Information Modelling Methodology or BIM (Mota, 2017; Rehman et al., 2020). In practice, however, there is no universally recognized model for RM in projects in this industry that would include the full development of the project proactively (DeMarco & Thaheem, 2014; Krechowicz, 2020).
Along with the lack of a consensus regarding RM methodology in construction, in Brazil, construction companies operate within a highly volatile political and economic environment, commonly presenting weaknesses in the planning and controlling of their projects (Gonçalves, 2015; Beltrão & Carvalho, 2019). Contractors avoid management processes for fear of excess internal bureaucracy in their businesses and to reduce costs (Zhao, Hwang, & Phng, 2014; Vergara, Teixeira, & Yamanari, 2017). This aversion results in deficient RM, stemming from a habit of only considering issues such as deadlines and cost and based on a frequently out-of-date physical-financial schedule (Schocair, 2021).
Furthermore, the literature points out that RM in CCI is directly connected with intuition and common sense, as well as with the project manager’s experience, leading to a plan that can adapt to the project manager’s capabilities, directly influencing the project’s performance and quality (Sá, 2016; Pawar & Pagey, 2017; Ekung, Adu, & Lashinde, 2020). Finally, taking management considerations and administration, small to medium-sized construction companies tend to be centralized in one person, leading to delays and incomplete administrative processing (Magalhães, Mello, & Bandeira, 2018; Behling & Lenzi, 2019).
The discussion about RM in CCI is not enough explored in the academic literature (in civil engineering or management areas) nor in the industry documents and studies led by industrial entities or associations, opening a research stream to be explored in this research.
Considering this industry’s intrinsic risk element, its management profile in construction projects, and the lack of comprehensive methodologies for the CCI, the question is: How do the managers of the CCI in Volta Redonda-RJ perceive RM in their projects and businesses? This research aims to analyze the perception of builders from Volta Redonda-RJ about RM in construction and business ventures. For several reasons related to the convenience of primary data collection and access to companies in a contingency period imposed by SARS-COVID-19, it was decided to restrict this study to Volta Redonda. The city is a regional capital in the south of the State of Rio de Janeiro, Brazil, and a relevant economic center for CCI.
A qualitative and exploratory methodology was outlined based on a case study with CCI in the city. Data were obtained by questionnaire and analyzed using Paraconsistent Logic and descriptive statistics. Additionally, to clarify some points, interviews were conducted with company managers.
The present work is relevant for several reasons. It is believed that the deepening of studies on how RM is perceived by members of CCI, highlighting nuances in the decision-making process, enriches academic debates on the subject. In short, the results of this research reinforced the arguments of Krechowicz (2020) by identifying that, in the analyzed sample, a global tool for RM in construction projects is not used or even known; our results are in line with the statements by Zhao et al. (2014) and Vergara et al. (2017) that builders fear an excess of bureaucratization in their daily tasks. However, this study extrapolates this statement. Our results indicate a distortion in understanding what internal bureaucratization is for builders, making them reject RM protocols and perceiving them as bureaucratic when meticulous and time-consuming. Finally, it was found that the perception of risk only happens after identifying financial losses, as the seminal author Gitman (1997) proposed, and more recently Hanioglu (2022), indicating an excessively superficial, linear, and limited perception of the builders about risk. Regarding the practical contributions of the research, it is understood to serve as an alert for the CCI and undergraduate courses in administration and civil engineering. By identifying that the managerial behavior of the builder has yet to specialize in the face of an issue as essential as risk, despite the ongoing debates, the theory is not reaching practice.
This article is organized as follows. First, it presents the theoretical foundation, followed by the methodological procedures. Subsequently, the results obtained are presented together with the discussion, ending with the conclusions.
2 Risk management in CCI
Due to the construction projects complexity and the large number of variables involved in the elaborating process and executing these ventures - such as environmental, material, logistical, labor, pricing, company and project cashflow, legal, marketing, and political matters, amongst others -, the level of risk inherent to the ventures can be extremely high (Dikmen, Birgonul, Anac, Tah, & Aouad, 2008; Kumar & Narayanan, 2020; Regis, 2023).
Although the concept of risk is widespread, there is no unanimous definition. There is consensus in the literature that the risk perspective should be understood as an exposure (of a project, company, person, or situation) to undesirable events whose impacts and probability of occurrence can be estimated, occurring where vulnerabilities and threats are found (Zhong, Xu, Chen, & Goh, 2020). Additionally, the risk is seen as an event with potential economic losses (Gitman, 1997; Shibani et al., 2022).
In CCI, the risk is generally perceived on the impact over time, cost, and quality of projects, products, services, or businesses (Heckmann, Comes, & Nickel, 2015; Ameyaw et al., 2015; Pawar & Pagey, 2017; Dixit et al., 2020).
Thus, risk can be understood as the probability of an event that could jeopardize the project’s viability (Shibani et al., 2022). Another factor that drives risk in the CCI is the volume of workers that this industry absorbs. The issue of high staff turnover and the low level of education labor in this industry are obstacles to implementing training and specializations. This dynamic causes losses, delays, and rework (Catelan & Cunha, 2023).
The RM can be considered a culture that benefits the organization/project and enables the management of problems (Shibani et al., 2022). Usually, it involves detailed planning of the activities to be realized, using previously structured internal data from the organizations, thereby avoiding, reducing, minimizing, or absorbing undesirable events (Siraj & Fayek, 2019). Such planning requires critical analysis, and the stages of identification, evaluation, treatment, and control converge on the concepts of quality management outlined in the PDCA cycle (Plan, Do, Check, and Act), following a trend of continuous evaluation and improvement (PMI, 2016; Calôba & Klaes, 2018). The most crucial aspect of RM is the identification of events. From this starting point, the event’s impacts can be estimated, and reduction, absorption, or mitigation strategies can be outlined, in addition to allowing for the undertaking/venture’s viability evaluation before starting (Siraj & Fayek, 2019; Lenderink, Halman, Boes, Voordijk & Dorée, 2022).
However, regardless of the organization of the company’s information, the strategies for dealing with risk (elimination, reduction, acceptance, and transference) are theoretically the same and can be categorized according to two distinct approaches (Lenderink et al., 2022). The holistic approach proactively considers RM, while the fatalistic approach considers it inevitable. Independent of the category, risk acceptance should be elaborated, recognized during the planning stage, and carried out according to the financial and technical reach of the respective venture/business. Moreover, risk can be considered in this classification through an active (when there is a previously developed action plan) or passive response (Krechowicz, 2020).
According to this approach, risk reduction (or absorption) happens when managers do not recognize it (unintentionally or deliberately), compelling them to assume it as liabilities or losses. On the other hand, risk transference is the most used strategy in the CCI, usually occurring through contracting insurance, partnerships, and contracting outsourcing companies, amongst other possibilities (Krechowicz, 2020; Lenderink et al., 2022).
A manager, when implementing RM in the project portfolio, achieves more significant improvement in the execution of his work, which possibly results in greater profitability. It means that RM brings greater efficiency to the operation, reduces losses, and allows mistakes from previous projects to be avoided. Using historical data referring to the RM, builders leverage their capacity and attractiveness to customers, empowering their contracts (Shibani et al., 2022).
In contrast to the literature propositions, it is possible to see how common the lack of formal registration of risk events in the CCI is in practice (Qammaz & AlMaian, 2020). There, the necessary data for identifying, analyzing, and making decisions related to risks are superficial, since contractors, in general, tend not only to neglect the importance of keeping information about the projects stored, but it is also evident that any information that may exist depends directly on the constant updating of construction workers, who are not necessarily qualified for such a task (Ekung et al., 2020).
At CCI, it is common for management deliberations and the administration of small and medium-sized companies to remain centralized in a single person, usually the contractor (also a company’s owner or partner) (Magalhães et al., 2018), a habit that results in slowness and incompleteness of processes (Behling & Lenzi, 2019). This leadership profile outcome in general management, specifically for RM, is based on a vicious cycle of subjective analysis focused on an imprecise physical-financial project schedule (Conterato, 2018; Roghanian, Alipour, & Rezaei, 2018; Regis & Cardoso, 2021). When contractors seek to identify risk, the most utilized technique is brainstorming with realtors and other contractors without further formalization (Siraj & Fayek, 2019).
It occurs, essentially, due to the CCI manager’s perception that the use of intuition and experience in decision-making is enough, reflecting a possible inability or disinterest on their part to transform theoretical administrative procedures into practice, which, when existent, are purely symbolic (Ekung et al., 2020; Kumar & Narayanan, 2020; Senthil & Muthukannan, 2021; Regis & Cardoso, 2021). Another critical point is that risk decisions are based on incomplete data, directly influencing the performance of the project and the company (Sá, 2016). Entrepreneurs fear an excess of internal bureaucratization, as they are unaware of simplified management tools and methods to help their businesses (Vergara et al., 2017). The aversion to more complex processes and procedures on the part of the manager causes gaps to occur in the study of risk in their projects, making it a habit to look only at issues such as deadlines and cost based on a physical-financial schedule that is often outdated (Hanioglu, 2022).
When such management options are combined with a neglect perception of the appropriate tools for RM, like a cause-and-effect diagram; SWOT matrix; decision analysis tree; Delphi technique, amongst others, by the contractors, the projects of this sector tend to reach a critical risk level (Siraj & Fayek, 2019), which contractors perceive, interestingly, only when they lose money (Gitman, 1997; Shibani et al., 2022).
3 Research procedures
Seeking to identify how contractors carry out the RM in their projects in companies based on Volta Redonda (VR), indicating which events they consider critical and clarifying what measures were taken in the face of such risks, this research was methodologically structured according to Figure 1. The choice of CNAE codes 4110-7 and 4120-4 aligned with the research objective, as it included construction companies. Thus, we understood that excluding professionals registered as individual micro-entrepreneurs (bricklayers, painters, plumbers, interior designers, landscapers, etc.) was necessary.
The primary data was collected based on a questionnaire organized according to the structure proposed in the 2016 Construction Extension to the PMBOK Guide Third Edition (PMI, 2016), where risk events are categorized into nine main categories, as illustrated in Figure 2. Also, specialists in the CCI tested and validated the questionnaire before the application. They were asked to evaluate the questions’ content, clarity, and simplicity, as Gerhardt and Silveira (2009) suggested.
Risk events common to the CCI that can become threats to projects were listed for each group. Table 1 briefly presents the nine categories and their nature. For more details on the items noted in each category and subcategory, see Appendix 1 APPENDIX Appendix – Table of risk factors identified by survey Category Subcategory Factors Indications Economics Cost related to the purchase and application of materials 17/23 Personnel expenses 14/23 Purchase cost of machinery and equipment 9/23 Others: Lack of ability to pay customers 1/23 Behavior of the local and global economy, inflation, exchange rate variation 13/23 Taxes and fees 11/23 Financial Financing capacity 13/23 Localization Availability of labor 15/23 Topography, soil conditions and weather patterns 13/23 Logistical access 8/23 Constructions on existing facilities 7/23 Buildings in new facilities 7/23 Construction and environmental permits 16/23 Local laws and regulations 14/23 Community acceptance of the project 7/23 Technical and Design Electric and hydraulic Structural Incomplete and/or deficient cost and schedule estimation 15/23 Continuous and unruly design changes 12/23 Inappropriate and incomplete design 9/23 Unawareness of land conditions 9/23 Lack of technique to perform tasks 7/23 Lack of technical knowledge, little experience 6/23 Land surveys and incorrect foundations 5/23 Architectural Incorrect use of equipment, materials and techniques 4/23 Compatibilization. Inaccurate technical bases and errors in structural design 4/23 Fire plan Technical research absence 3/23 Customer return delays 10/23 Excessive owner involvement in the project creation process 8/23 Unavailability of use of public services 4/23 Commercial financial Economic recessions 17/23 Financing 14/23 High interest rates 7/23 Exchange rate fluctuations 4/23 Runaway inflation 2/23 Planning Mon. Control Contractor selection procedure 13/23 Design priorities 9/23 Project management information systems 7/23 Design selection procedure 4/23 Control of the main project issues 3/23 Insurance 1/23 Properties and authorizations statutory Land acquisition 10/23 Damage to neighboring properties 5/23 Clear urban zoning 11/23 Release of regulatory institutions 10/23 Expropriations 5/23 Right of way 1/23 Delays in the land access agreement 1/23 Construction Suppliers contractors subcontractor Labor disqualification 17/23 Lack of training and technical knowledge 16/23 Labor unavailability 12/23 Contractor and subcontractor capacity 10/23 Incompetence for management 10/23 Inefficiency in project management 11/23 Failure to respect the company’s quality standards 8/23 Failure to comply with health and safety regulations and responsibilities 8/23 Equipment breakdowns 6/23 Unavailability of time to use special materials 3/23 Inadequate equipment and materials 3/23 Restrictions on working hours 2/23 Equipment commissioning 1/23 Technical Unexpected costs 16/23 Low-detail projects 12/23 Constant changes in work orders 7/23 Calculation errors in the quantities of work 6/23 Lack of technical direction 5/23 Construction site and layout Safety 15/23 Interference between tasks 8/23 Availability of resources 7/23 Resource overload 3/23 Access 7/23 Public services Availability 2/23 geography and weather Topography 11/23 Geography and soil 7/23 Insufficient soil tests 5/23 Unexpected weather conditions 13/23 Groundwater and land drainage 8/23 Security Theft 17/23 Sabotage 6/23 Vandalism 8/23 Corruption 5/23 Illegal occupations 3/23 Drug trafficking 2/23 Management Extra work 16/23 Errors in time and cost estimates 14/23 Delivery delays 12/23 Payment delays 10/23 Dependence on a supplier, employee, or product 9/23 Suppliers’ evaluation 6/23 Contract insolvency 4/23 Inadequacy in the change request procedure 4/23 Performance Low productivity 17/23 Negligence 12/23 Task execution failure 10/23 Accidents 8/23 Lack of knowledge and skill 7/23 Unsuitable materials 6/23 Critical deadlines 6/23 Labor disputes 1/23 External Contractual factors Low definition and little project documentation 11/23 Inappropriate schedule 10/23 Late influence on changes 7/23 Negligence to new stakeholders 2/23 Quality expectations (from the customer) higher than those documented 15/23 Act of God Economic and political instability 20/23 Acts of God 16/23 Market changes 13/23 Adverse climates 10/23 Natural calamities 10/23 Regulation changes 9/23 Strikes 9/23 Political Distorted public perception 13/23 Citizens’ interests 9/23 Negative public exposure 2/23 Environmental Hazardous waste, noise, contamination 10/23 Unexpected regulations 10/23 Environmental impact statements 8/23 Preservation of historical or biological heritage 2/23 Visibility politics and regulation- tions Excessive bureaucratization 22/23 Law changes 10/23 Political and environmental pressures 6/23 Justice Obstructions 4/23 Political sensitivity 4/23 Vulnerability of political support 3/23 Statutory requirements or authorizations from regulatory institutions 3/23 Organizational Employees and partners’ attitudes 12/23 Staff inexperience 11/23 Priority changes 11/23 Insufficiency of resources 8/23 Organizational culture 6/23 Complexities in internal approvals 4/23 Inconsistent goals 4/23 Disagreement with goals 2/23 Management Insufficient planning time 12/23 High staff turnover 11/23 Insufficient resources 11/23 Inexperience of staff 8/23 Resource availability 6/23 Unforeseen workload 5/23 Poorly defined project purpose 4/23 Overloaded portfolio 3/23 Incomplete identification of interested parties 2/23 Inadequate claim procedures 1/23 Source: Developed by the authors .
For each event indicated in Table 1, a questionnaire with a five-point Likert Scale was proposed, in which 5 represents a very relevant risk factor while 1 is a reasonably irrelevant one. Subsequently, for each of the nine risk categories ( Figure 2), the respondents were invited to indicate their perception of the actual impact according to the Likert scale in case one of the events occurred. Finally, the contractors were asked to indicate which RM tools or methodologies were used in their projects.
For each event indicated in Table 1, a questionnaire with a five-point Likert Scale was proposed, in which 5 represents a very relevant risk factor while 1 is a reasonably irrelevant one. Subsequently, for each of the nine risk categories ( Figure 2), the respondents were invited to indicate their perception of the actual impact according to the Likert scale in case one of the events occurred. Finally, the contractors were asked to indicate which RM tools or methodologies were used in their projects.
After obtaining the responses (23 of 58) 1, the events identified were organized from the most to the least mentioned and classified arbitrarily into four groups by color, with red indicating 19 to 23 indications, orange 13 to 18 indications, yellow 7 to 12 indications, and grey 1 to 6 indications ( Appendix 1 APPENDIX Appendix – Table of risk factors identified by survey Category Subcategory Factors Indications Economics Cost related to the purchase and application of materials 17/23 Personnel expenses 14/23 Purchase cost of machinery and equipment 9/23 Others: Lack of ability to pay customers 1/23 Behavior of the local and global economy, inflation, exchange rate variation 13/23 Taxes and fees 11/23 Financial Financing capacity 13/23 Localization Availability of labor 15/23 Topography, soil conditions and weather patterns 13/23 Logistical access 8/23 Constructions on existing facilities 7/23 Buildings in new facilities 7/23 Construction and environmental permits 16/23 Local laws and regulations 14/23 Community acceptance of the project 7/23 Technical and Design Electric and hydraulic Structural Incomplete and/or deficient cost and schedule estimation 15/23 Continuous and unruly design changes 12/23 Inappropriate and incomplete design 9/23 Unawareness of land conditions 9/23 Lack of technique to perform tasks 7/23 Lack of technical knowledge, little experience 6/23 Land surveys and incorrect foundations 5/23 Architectural Incorrect use of equipment, materials and techniques 4/23 Compatibilization. Inaccurate technical bases and errors in structural design 4/23 Fire plan Technical research absence 3/23 Customer return delays 10/23 Excessive owner involvement in the project creation process 8/23 Unavailability of use of public services 4/23 Commercial financial Economic recessions 17/23 Financing 14/23 High interest rates 7/23 Exchange rate fluctuations 4/23 Runaway inflation 2/23 Planning Mon. Control Contractor selection procedure 13/23 Design priorities 9/23 Project management information systems 7/23 Design selection procedure 4/23 Control of the main project issues 3/23 Insurance 1/23 Properties and authorizations statutory Land acquisition 10/23 Damage to neighboring properties 5/23 Clear urban zoning 11/23 Release of regulatory institutions 10/23 Expropriations 5/23 Right of way 1/23 Delays in the land access agreement 1/23 Construction Suppliers contractors subcontractor Labor disqualification 17/23 Lack of training and technical knowledge 16/23 Labor unavailability 12/23 Contractor and subcontractor capacity 10/23 Incompetence for management 10/23 Inefficiency in project management 11/23 Failure to respect the company’s quality standards 8/23 Failure to comply with health and safety regulations and responsibilities 8/23 Equipment breakdowns 6/23 Unavailability of time to use special materials 3/23 Inadequate equipment and materials 3/23 Restrictions on working hours 2/23 Equipment commissioning 1/23 Technical Unexpected costs 16/23 Low-detail projects 12/23 Constant changes in work orders 7/23 Calculation errors in the quantities of work 6/23 Lack of technical direction 5/23 Construction site and layout Safety 15/23 Interference between tasks 8/23 Availability of resources 7/23 Resource overload 3/23 Access 7/23 Public services Availability 2/23 geography and weather Topography 11/23 Geography and soil 7/23 Insufficient soil tests 5/23 Unexpected weather conditions 13/23 Groundwater and land drainage 8/23 Security Theft 17/23 Sabotage 6/23 Vandalism 8/23 Corruption 5/23 Illegal occupations 3/23 Drug trafficking 2/23 Management Extra work 16/23 Errors in time and cost estimates 14/23 Delivery delays 12/23 Payment delays 10/23 Dependence on a supplier, employee, or product 9/23 Suppliers’ evaluation 6/23 Contract insolvency 4/23 Inadequacy in the change request procedure 4/23 Performance Low productivity 17/23 Negligence 12/23 Task execution failure 10/23 Accidents 8/23 Lack of knowledge and skill 7/23 Unsuitable materials 6/23 Critical deadlines 6/23 Labor disputes 1/23 External Contractual factors Low definition and little project documentation 11/23 Inappropriate schedule 10/23 Late influence on changes 7/23 Negligence to new stakeholders 2/23 Quality expectations (from the customer) higher than those documented 15/23 Act of God Economic and political instability 20/23 Acts of God 16/23 Market changes 13/23 Adverse climates 10/23 Natural calamities 10/23 Regulation changes 9/23 Strikes 9/23 Political Distorted public perception 13/23 Citizens’ interests 9/23 Negative public exposure 2/23 Environmental Hazardous waste, noise, contamination 10/23 Unexpected regulations 10/23 Environmental impact statements 8/23 Preservation of historical or biological heritage 2/23 Visibility politics and regulation- tions Excessive bureaucratization 22/23 Law changes 10/23 Political and environmental pressures 6/23 Justice Obstructions 4/23 Political sensitivity 4/23 Vulnerability of political support 3/23 Statutory requirements or authorizations from regulatory institutions 3/23 Organizational Employees and partners’ attitudes 12/23 Staff inexperience 11/23 Priority changes 11/23 Insufficiency of resources 8/23 Organizational culture 6/23 Complexities in internal approvals 4/23 Inconsistent goals 4/23 Disagreement with goals 2/23 Management Insufficient planning time 12/23 High staff turnover 11/23 Insufficient resources 11/23 Inexperience of staff 8/23 Resource availability 6/23 Unforeseen workload 5/23 Poorly defined project purpose 4/23 Overloaded portfolio 3/23 Incomplete identification of interested parties 2/23 Inadequate claim procedures 1/23 Source: Developed by the authors ).
The method proposed by Sanches, Marietto and Paixão (2011) was used to analyze the information collected. A qualitative approach to examine such data types, a model whose core represents opinions and feelings, is called Paraconsistent Logic. The objective is that knowledge is modeled by observing the evidence while applying logic, generating data close to human rationality, and proving appropriate for this research. This analysis converts 2 the collected data into degrees of belief and disbelief (µ 1 and µ 2, respectively) and transforms them into degrees of certainty (G1) and contradiction (G2). Based on these data, it is possible to interpret the results presented in Table 2. Numerical data that did not use the Likert Scale were analyzed according to the descriptive statistics protocols.
The interviews (7 of 23) are owners or partners of construction companies, with five participating actively in the sector employers’ union, some in leadership roles in the city and throughout Rio de Janeiro state. The interviews followed a semi-structured script based on the literature and the questionnaire results. The content was analyzed according to the protocols proposed by Bardin (2011) 3.
During the research, some limitations and challenges were identified, such as the possible personal involvement of the researchers in the subject matter, which was dealt with via minimization through strict methodological techniques. Additionally, the difficulty in accessing the companies’ information, the social distancing due to the SARS-Cov-19 pandemic, and the low number of responses obtained for the questionnaire, 23 out of 58, as well as the number of interviews, 7 of 23 possible interviews. Such circumstances made it not possible to draw generalizations regarding the phenomenon analysis.
4 Results presentation and discussion
Regarding gender, a male predominance was identified in the respondent profile (73.9% in total), with an average age of forty years old. Around 82.6% reported having completed a college degree or higher. And it was verified that 95.7% considered themselves professionals in an exclusive decision-making position concerning their projects’ risk. Such numbers indicate that the analyzed sample fits with the objectives outlined in the research, resulting in the global perception of leadership, providing the collected data with greater importance. The data from the surveyed sample, especially on risk decision-making, corroborate the literature by Magalhães et al. (2018), who claim that in the CCI, the tendency to centralize decisions in the contractor is still present in business management processes, reality identified in Volta Redonda.
The respondents listed 151 risk factors, with 64 classified as low incidence and low impact (grey group); 60 as median frequency and low impact (yellow group); 25 as median incidence and high impact (orange group); and two as high incidence and high impact (red group), as presented in Appendix 1 APPENDIX Appendix – Table of risk factors identified by survey Category Subcategory Factors Indications Economics Cost related to the purchase and application of materials 17/23 Personnel expenses 14/23 Purchase cost of machinery and equipment 9/23 Others: Lack of ability to pay customers 1/23 Behavior of the local and global economy, inflation, exchange rate variation 13/23 Taxes and fees 11/23 Financial Financing capacity 13/23 Localization Availability of labor 15/23 Topography, soil conditions and weather patterns 13/23 Logistical access 8/23 Constructions on existing facilities 7/23 Buildings in new facilities 7/23 Construction and environmental permits 16/23 Local laws and regulations 14/23 Community acceptance of the project 7/23 Technical and Design Electric and hydraulic Structural Incomplete and/or deficient cost and schedule estimation 15/23 Continuous and unruly design changes 12/23 Inappropriate and incomplete design 9/23 Unawareness of land conditions 9/23 Lack of technique to perform tasks 7/23 Lack of technical knowledge, little experience 6/23 Land surveys and incorrect foundations 5/23 Architectural Incorrect use of equipment, materials and techniques 4/23 Compatibilization. Inaccurate technical bases and errors in structural design 4/23 Fire plan Technical research absence 3/23 Customer return delays 10/23 Excessive owner involvement in the project creation process 8/23 Unavailability of use of public services 4/23 Commercial financial Economic recessions 17/23 Financing 14/23 High interest rates 7/23 Exchange rate fluctuations 4/23 Runaway inflation 2/23 Planning Mon. Control Contractor selection procedure 13/23 Design priorities 9/23 Project management information systems 7/23 Design selection procedure 4/23 Control of the main project issues 3/23 Insurance 1/23 Properties and authorizations statutory Land acquisition 10/23 Damage to neighboring properties 5/23 Clear urban zoning 11/23 Release of regulatory institutions 10/23 Expropriations 5/23 Right of way 1/23 Delays in the land access agreement 1/23 Construction Suppliers contractors subcontractor Labor disqualification 17/23 Lack of training and technical knowledge 16/23 Labor unavailability 12/23 Contractor and subcontractor capacity 10/23 Incompetence for management 10/23 Inefficiency in project management 11/23 Failure to respect the company’s quality standards 8/23 Failure to comply with health and safety regulations and responsibilities 8/23 Equipment breakdowns 6/23 Unavailability of time to use special materials 3/23 Inadequate equipment and materials 3/23 Restrictions on working hours 2/23 Equipment commissioning 1/23 Technical Unexpected costs 16/23 Low-detail projects 12/23 Constant changes in work orders 7/23 Calculation errors in the quantities of work 6/23 Lack of technical direction 5/23 Construction site and layout Safety 15/23 Interference between tasks 8/23 Availability of resources 7/23 Resource overload 3/23 Access 7/23 Public services Availability 2/23 geography and weather Topography 11/23 Geography and soil 7/23 Insufficient soil tests 5/23 Unexpected weather conditions 13/23 Groundwater and land drainage 8/23 Security Theft 17/23 Sabotage 6/23 Vandalism 8/23 Corruption 5/23 Illegal occupations 3/23 Drug trafficking 2/23 Management Extra work 16/23 Errors in time and cost estimates 14/23 Delivery delays 12/23 Payment delays 10/23 Dependence on a supplier, employee, or product 9/23 Suppliers’ evaluation 6/23 Contract insolvency 4/23 Inadequacy in the change request procedure 4/23 Performance Low productivity 17/23 Negligence 12/23 Task execution failure 10/23 Accidents 8/23 Lack of knowledge and skill 7/23 Unsuitable materials 6/23 Critical deadlines 6/23 Labor disputes 1/23 External Contractual factors Low definition and little project documentation 11/23 Inappropriate schedule 10/23 Late influence on changes 7/23 Negligence to new stakeholders 2/23 Quality expectations (from the customer) higher than those documented 15/23 Act of God Economic and political instability 20/23 Acts of God 16/23 Market changes 13/23 Adverse climates 10/23 Natural calamities 10/23 Regulation changes 9/23 Strikes 9/23 Political Distorted public perception 13/23 Citizens’ interests 9/23 Negative public exposure 2/23 Environmental Hazardous waste, noise, contamination 10/23 Unexpected regulations 10/23 Environmental impact statements 8/23 Preservation of historical or biological heritage 2/23 Visibility politics and regulation- tions Excessive bureaucratization 22/23 Law changes 10/23 Political and environmental pressures 6/23 Justice Obstructions 4/23 Political sensitivity 4/23 Vulnerability of political support 3/23 Statutory requirements or authorizations from regulatory institutions 3/23 Organizational Employees and partners’ attitudes 12/23 Staff inexperience 11/23 Priority changes 11/23 Insufficiency of resources 8/23 Organizational culture 6/23 Complexities in internal approvals 4/23 Inconsistent goals 4/23 Disagreement with goals 2/23 Management Insufficient planning time 12/23 High staff turnover 11/23 Insufficient resources 11/23 Inexperience of staff 8/23 Resource availability 6/23 Unforeseen workload 5/23 Poorly defined project purpose 4/23 Overloaded portfolio 3/23 Incomplete identification of interested parties 2/23 Inadequate claim procedures 1/23 Source: Developed by the authors . Table 2 shows the degree of perception of risk impact indicated in questionnaires from the participants’ perspective.
Gitman (1997) and Shibani et al. (2022) state that risk is often understood when perceived as economic and/or financial losses. Factors that, according to the data obtained, are the most significant concern to the builders of Volta Redonda, validating the arguments in the literature. Based on the indication of the proposition agreement degree, both the economic factors (µ 1=0.9139) and the financial factors (µ 1=0.8696) are considered by contractors as a very strong agreement and substantial agreement about the relevance of this kind of risk impact to their projects, respectively. The interviewers considered these categories as the most significant tension points in their business, given that clients with funding limitations frequently finance the ventures, and the impacts that economic instability generates are widely perceived in CCI.
As Ameyaw et al. (2015) and Dixit et al. (2020) state, the contractor assumes a high level of risk, and, according to Gitman (1997) and Shibani et al. (2022), it is natural that its focus is to reduce to the maximum the possibilities of financial losses for itself and for the client. Moreover, as the research data indicate, our participants corroborate this conception. They understand that the risk is not entirely their responsibility in the event of economic and financial losses. About 56.5% of the sample analyzed transferred their risk effects (financially speaking) to the client. In the literature, the transfer is present as a risk mitigation strategy (PMI, 2016). The most common in the CCI is insurance (property and in case of accidents) (Merlo et al., 2022), allowing us to indicate the identification, in this surveyed sample, of behaviors that overflow in the literature.
The respondents considered the localization category relevant with tangible action plans and manageable impacts (µ 1=0.7826). It was possible to infer that the contractors agree with the possibility of liabilities from risks stemming from this category. However, they do not recognize them as having a significant impact. Such perception was confirmed in the interviews. According to the contractors, when these kinds of risk events occur (such as logistical problems), there is rarely prior planning for damage control or productivity maintenance, indicating a particular predisposition towards risk absorption.
Siraj and Fayek (2019), Sivagami and Sarath (2018), and Manenti (2017) states that even if risk planning is carried out for construction projects, the same happens in the work planning stage from the anticipation of events, simulating them and their effects for the project. In the meantime, Ekung et al. (2020) complement this by arguing that during the execution of such procedures, intuition is used more than data, reflecting a high appetite for risk from contractors. Thus, this type of protocol, although commonly practiced, does not guarantee an adequate risk plan; the most common attitude of managers is to react to events.
The analysis of risk perception related to the technical aspects of projects demonstrated substantial and relevant agreement among the contractors (µ 1=0.8696). They consider the risk events in this category to have a considerable capacity for affecting their projects. Yet, according to Appendix 1 APPENDIX Appendix – Table of risk factors identified by survey Category Subcategory Factors Indications Economics Cost related to the purchase and application of materials 17/23 Personnel expenses 14/23 Purchase cost of machinery and equipment 9/23 Others: Lack of ability to pay customers 1/23 Behavior of the local and global economy, inflation, exchange rate variation 13/23 Taxes and fees 11/23 Financial Financing capacity 13/23 Localization Availability of labor 15/23 Topography, soil conditions and weather patterns 13/23 Logistical access 8/23 Constructions on existing facilities 7/23 Buildings in new facilities 7/23 Construction and environmental permits 16/23 Local laws and regulations 14/23 Community acceptance of the project 7/23 Technical and Design Electric and hydraulic Structural Incomplete and/or deficient cost and schedule estimation 15/23 Continuous and unruly design changes 12/23 Inappropriate and incomplete design 9/23 Unawareness of land conditions 9/23 Lack of technique to perform tasks 7/23 Lack of technical knowledge, little experience 6/23 Land surveys and incorrect foundations 5/23 Architectural Incorrect use of equipment, materials and techniques 4/23 Compatibilization. Inaccurate technical bases and errors in structural design 4/23 Fire plan Technical research absence 3/23 Customer return delays 10/23 Excessive owner involvement in the project creation process 8/23 Unavailability of use of public services 4/23 Commercial financial Economic recessions 17/23 Financing 14/23 High interest rates 7/23 Exchange rate fluctuations 4/23 Runaway inflation 2/23 Planning Mon. Control Contractor selection procedure 13/23 Design priorities 9/23 Project management information systems 7/23 Design selection procedure 4/23 Control of the main project issues 3/23 Insurance 1/23 Properties and authorizations statutory Land acquisition 10/23 Damage to neighboring properties 5/23 Clear urban zoning 11/23 Release of regulatory institutions 10/23 Expropriations 5/23 Right of way 1/23 Delays in the land access agreement 1/23 Construction Suppliers contractors subcontractor Labor disqualification 17/23 Lack of training and technical knowledge 16/23 Labor unavailability 12/23 Contractor and subcontractor capacity 10/23 Incompetence for management 10/23 Inefficiency in project management 11/23 Failure to respect the company’s quality standards 8/23 Failure to comply with health and safety regulations and responsibilities 8/23 Equipment breakdowns 6/23 Unavailability of time to use special materials 3/23 Inadequate equipment and materials 3/23 Restrictions on working hours 2/23 Equipment commissioning 1/23 Technical Unexpected costs 16/23 Low-detail projects 12/23 Constant changes in work orders 7/23 Calculation errors in the quantities of work 6/23 Lack of technical direction 5/23 Construction site and layout Safety 15/23 Interference between tasks 8/23 Availability of resources 7/23 Resource overload 3/23 Access 7/23 Public services Availability 2/23 geography and weather Topography 11/23 Geography and soil 7/23 Insufficient soil tests 5/23 Unexpected weather conditions 13/23 Groundwater and land drainage 8/23 Security Theft 17/23 Sabotage 6/23 Vandalism 8/23 Corruption 5/23 Illegal occupations 3/23 Drug trafficking 2/23 Management Extra work 16/23 Errors in time and cost estimates 14/23 Delivery delays 12/23 Payment delays 10/23 Dependence on a supplier, employee, or product 9/23 Suppliers’ evaluation 6/23 Contract insolvency 4/23 Inadequacy in the change request procedure 4/23 Performance Low productivity 17/23 Negligence 12/23 Task execution failure 10/23 Accidents 8/23 Lack of knowledge and skill 7/23 Unsuitable materials 6/23 Critical deadlines 6/23 Labor disputes 1/23 External Contractual factors Low definition and little project documentation 11/23 Inappropriate schedule 10/23 Late influence on changes 7/23 Negligence to new stakeholders 2/23 Quality expectations (from the customer) higher than those documented 15/23 Act of God Economic and political instability 20/23 Acts of God 16/23 Market changes 13/23 Adverse climates 10/23 Natural calamities 10/23 Regulation changes 9/23 Strikes 9/23 Political Distorted public perception 13/23 Citizens’ interests 9/23 Negative public exposure 2/23 Environmental Hazardous waste, noise, contamination 10/23 Unexpected regulations 10/23 Environmental impact statements 8/23 Preservation of historical or biological heritage 2/23 Visibility politics and regulation- tions Excessive bureaucratization 22/23 Law changes 10/23 Political and environmental pressures 6/23 Justice Obstructions 4/23 Political sensitivity 4/23 Vulnerability of political support 3/23 Statutory requirements or authorizations from regulatory institutions 3/23 Organizational Employees and partners’ attitudes 12/23 Staff inexperience 11/23 Priority changes 11/23 Insufficiency of resources 8/23 Organizational culture 6/23 Complexities in internal approvals 4/23 Inconsistent goals 4/23 Disagreement with goals 2/23 Management Insufficient planning time 12/23 High staff turnover 11/23 Insufficient resources 11/23 Inexperience of staff 8/23 Resource availability 6/23 Unforeseen workload 5/23 Poorly defined project purpose 4/23 Overloaded portfolio 3/23 Incomplete identification of interested parties 2/23 Inadequate claim procedures 1/23 Source: Developed by the authors , the items most acknowledged by the participants about this category are correlated with planning. However, according to the interviewees, besides these tasks being entirely under the control and responsibility of the contractor, events such as these have a common occurrence. This behavior highlights a context of task centralization that can result in an organization with incomplete management processes, in line with the literature (Magalhães et al., 2018; Behling & Lenzi, 2019). The execution of construction work demands a high volume of planning, not only of the work itself but of the business and everything that entails the action of building. Analyzing the responses it was observed that although there is awareness of the need for management processes concerning the technical aspects of the work on the part of the builders, the action itself is often symbolic.
Probing this analysis, the projects’ technical management generally occurs according to a physical-financial schedule. This, in its turn, is elaborated based on information available regarding the estimated cost for materials and labor, deadline, and project design (which determines the construction standard) as stated by Conterato (2018), Roghanian et al. (2018), and Regis and Cardoso (2021). As these authors claim, this practice was found to be universally applied by participants in this study. More than 50% of the respondents stated that their strategies for reducing risk perception are overpricing the items presented in the physical-financial schedule. An essential aspect of this tool is the limitation related to the information update, given that for such calculations to occur, the construction managers require a specific period that they do not always have. Therefore, some proactive steps in response to risk events, albeit intuitive, are noticeable. Regardless, it was also observed that even though some measures are taken, they relate to financial questions, neglecting other forms of planning that could contribute to real risk mitigation.
As for the perception of the risk impact on the construction category, a weak agreement regarding propositions (µ 1=0.6957 on average) was observed. However, analyzing each item factors related to labor (µ 1=0.7826) and performance (µ 1=0.7391) showed moderate agreement. At the same time, technical (µ 1=0.8043) and contractual (µ 1=0.8478) questions presented substantial agreement, indicating that the respondents perceived these latter issues as more significant risks.
This sector relies intensively on labor to successfully implement their projects. Even so, it is a field dominated by informality concerning risk and project planning or the profile for personnel hiring. According to the interviews, poor training is a severe problem for developing projects, making a relevant impact on the enterprise. On the other hand, the information collected indicates that, generally, there is no investment in training workers. On being questioned about the matter, one of the participants attributed their disinterest in training to an absence of internal metrics to show that a trained and, consequently, a more expensive professional would bring greater productivity to the project.
Even with this presents a significant risk factor, the contractors hire unskilled professionals to fulfill financial planning goals to the detriment of quality, indicating a propensity towards risk-taking. Once again, the behavior identified in the sample analyzed confirms the propositions in the literature, for example, that of Catelan and Cunha (2023). Additionally, at this point, a paradox is perceived. This industry is based mainly on the triad of cost/schedule/quality, the basic structure of the physical-financial schedule. Thus, based on this research findings, it is possible that, as long as the financial aspect is not affected, issues such as the quality of the service provided and fulfillment of the projected timeline remain secondary.
In dealing with the impact of risks categorized as external, it was found that only those resulting from contractual factors and risks related to unforeseeable events were indicated as relevant (µ 1=0.8043 each), the others being understood as neutral. Such an interpretation gains force when observing the general average of µ 1=0.6087, which indicates only a weak agreement regarding propositions being risk factors with significant impact.
Be that as it may, it is in this category that the two most significant risk factors appear. According to the responses collected, CCI managers’ most significant problems are excess bureaucratization and political and economic instability (red group, in Appendix 1 APPENDIX Appendix – Table of risk factors identified by survey Category Subcategory Factors Indications Economics Cost related to the purchase and application of materials 17/23 Personnel expenses 14/23 Purchase cost of machinery and equipment 9/23 Others: Lack of ability to pay customers 1/23 Behavior of the local and global economy, inflation, exchange rate variation 13/23 Taxes and fees 11/23 Financial Financing capacity 13/23 Localization Availability of labor 15/23 Topography, soil conditions and weather patterns 13/23 Logistical access 8/23 Constructions on existing facilities 7/23 Buildings in new facilities 7/23 Construction and environmental permits 16/23 Local laws and regulations 14/23 Community acceptance of the project 7/23 Technical and Design Electric and hydraulic Structural Incomplete and/or deficient cost and schedule estimation 15/23 Continuous and unruly design changes 12/23 Inappropriate and incomplete design 9/23 Unawareness of land conditions 9/23 Lack of technique to perform tasks 7/23 Lack of technical knowledge, little experience 6/23 Land surveys and incorrect foundations 5/23 Architectural Incorrect use of equipment, materials and techniques 4/23 Compatibilization. Inaccurate technical bases and errors in structural design 4/23 Fire plan Technical research absence 3/23 Customer return delays 10/23 Excessive owner involvement in the project creation process 8/23 Unavailability of use of public services 4/23 Commercial financial Economic recessions 17/23 Financing 14/23 High interest rates 7/23 Exchange rate fluctuations 4/23 Runaway inflation 2/23 Planning Mon. Control Contractor selection procedure 13/23 Design priorities 9/23 Project management information systems 7/23 Design selection procedure 4/23 Control of the main project issues 3/23 Insurance 1/23 Properties and authorizations statutory Land acquisition 10/23 Damage to neighboring properties 5/23 Clear urban zoning 11/23 Release of regulatory institutions 10/23 Expropriations 5/23 Right of way 1/23 Delays in the land access agreement 1/23 Construction Suppliers contractors subcontractor Labor disqualification 17/23 Lack of training and technical knowledge 16/23 Labor unavailability 12/23 Contractor and subcontractor capacity 10/23 Incompetence for management 10/23 Inefficiency in project management 11/23 Failure to respect the company’s quality standards 8/23 Failure to comply with health and safety regulations and responsibilities 8/23 Equipment breakdowns 6/23 Unavailability of time to use special materials 3/23 Inadequate equipment and materials 3/23 Restrictions on working hours 2/23 Equipment commissioning 1/23 Technical Unexpected costs 16/23 Low-detail projects 12/23 Constant changes in work orders 7/23 Calculation errors in the quantities of work 6/23 Lack of technical direction 5/23 Construction site and layout Safety 15/23 Interference between tasks 8/23 Availability of resources 7/23 Resource overload 3/23 Access 7/23 Public services Availability 2/23 geography and weather Topography 11/23 Geography and soil 7/23 Insufficient soil tests 5/23 Unexpected weather conditions 13/23 Groundwater and land drainage 8/23 Security Theft 17/23 Sabotage 6/23 Vandalism 8/23 Corruption 5/23 Illegal occupations 3/23 Drug trafficking 2/23 Management Extra work 16/23 Errors in time and cost estimates 14/23 Delivery delays 12/23 Payment delays 10/23 Dependence on a supplier, employee, or product 9/23 Suppliers’ evaluation 6/23 Contract insolvency 4/23 Inadequacy in the change request procedure 4/23 Performance Low productivity 17/23 Negligence 12/23 Task execution failure 10/23 Accidents 8/23 Lack of knowledge and skill 7/23 Unsuitable materials 6/23 Critical deadlines 6/23 Labor disputes 1/23 External Contractual factors Low definition and little project documentation 11/23 Inappropriate schedule 10/23 Late influence on changes 7/23 Negligence to new stakeholders 2/23 Quality expectations (from the customer) higher than those documented 15/23 Act of God Economic and political instability 20/23 Acts of God 16/23 Market changes 13/23 Adverse climates 10/23 Natural calamities 10/23 Regulation changes 9/23 Strikes 9/23 Political Distorted public perception 13/23 Citizens’ interests 9/23 Negative public exposure 2/23 Environmental Hazardous waste, noise, contamination 10/23 Unexpected regulations 10/23 Environmental impact statements 8/23 Preservation of historical or biological heritage 2/23 Visibility politics and regulation- tions Excessive bureaucratization 22/23 Law changes 10/23 Political and environmental pressures 6/23 Justice Obstructions 4/23 Political sensitivity 4/23 Vulnerability of political support 3/23 Statutory requirements or authorizations from regulatory institutions 3/23 Organizational Employees and partners’ attitudes 12/23 Staff inexperience 11/23 Priority changes 11/23 Insufficiency of resources 8/23 Organizational culture 6/23 Complexities in internal approvals 4/23 Inconsistent goals 4/23 Disagreement with goals 2/23 Management Insufficient planning time 12/23 High staff turnover 11/23 Insufficient resources 11/23 Inexperience of staff 8/23 Resource availability 6/23 Unforeseen workload 5/23 Poorly defined project purpose 4/23 Overloaded portfolio 3/23 Incomplete identification of interested parties 2/23 Inadequate claim procedures 1/23 Source: Developed by the authors ). However, in interviews, the contractors were not unanimous upon being invited to discuss whether these factors are a greater risk for their projects. For them, bureaucracy and political instability are risk factors, but they are not the most pressing in their daily routines. For the construction managers, these are matters of simple management. The information necessary for mitigating risks of this nature is available from the corresponding public agencies, only lacking administrative organization in the formalization and legalization of the projects.
There is a debate within the academic literature in which contractors cannot fully understand bureaucratic procedures. Consequently, their planning and control suffer from inconsistencies, much of it stemming from a lack of awareness of tools and methods that could be helpful in their daily operations (Manning & Messner, 2008; Ekung et al., 2020; Kumar & Narayanan, 2020; Senthil & Muthukannan, 2021). Therefore, their aversion to bureaucracy eventually becomes a risk, given that the blind spots caused by such lack of planning are, frequently, irremediably harmful. Regarding political and economic instability, the interviews only reinforced the data collected in the questionnaire. It proved to be an essential point of tension for the contractors. Such concerns are well-grounded, given that the CCI is part of the bedrock of the economy and is affected by significant macroeconomic instabilities. This profile of economic volatility means that managers are correct in their perception regarding this risk factor.
The perception of the impacts of the organizational risk category was neutral, with a negligible agreement that such events have harmful effects on projects (µ 1=0.5435). In the management category, a weak agreement was observed regarding the relevance of its impact capacity (µ 1=0.6957). Hence, it is inferred that the perception concerning the importance of management, not only for RM, is potentially weak among the participants in this research. It reinforces the criticism that management tools are implemented only symbolically, without genuine efforts to implement them and improve the organizational capabilities. What was noticed is that, often, contractors are misinformed, believing that formulating physical-financial schedules, reactive plans, and short-term outlines for projects are sufficient management tools for all aspects of their business.
Regarding the steps taken when faced with risk, 82.6% of the participants reported not using any RM software. The same percentage also stated that they did not use probabilistic analysis in their planning processes. Such characteristics evidence the deliberate practice of intuitive RM, reinforcing the hypothesis of administrative unpreparedness of the contracting parties. At this point, what was observed in the sample is a movement contrary to that suggested by the risk literature in CCI, which strongly proposes the use of formal RM tools (Siraj & Fayek, 2019; Shibani et al., 2022) to facilitate the identification and management of events (identification, evaluation, treatment, and control) in a cyclical and uninterrupted way (Calôba & Klaes, 2018). For the survey participants, this is not a point that needs attention. As they are the categories with the greatest adherence to business management, it is surprising that they have so little importance for the builders (and partners) in the context of risk analysis. In this sense, it is understood that the propositions of Hanioglu (2022) about the aversion to administrative procedures of CCI managers are present and are confirmed in the analyzed group.
The last category, related to commercial aspects, presented an average agreement of µ 1=0.7146, with relevant adherence and moderate agreement regarding financial risks (µ 1=0.7609) as well as planning, monitoring, and control (µ 1=0.7174); and weak agreement regarding lands, property, and statutory authorization risks (µ 1=0.6957). This perception follows the theory of Gitman (1997) and Shibani et al. (2022), which highlighted that rationalizing decision-making about risks and their financial impacts on the projects is considered more important.
5 Final considerations
This study aimed to understand the perception of CCI managers about RM in their projects and businesses, based on a case study in the city of Volta Redonda-RJ. The observed results showed that the perception of the need for and importance of RM for contractors is, despite being recognized, superficial, receiving attention only when financial losses are identified. This behavior refutes part of the literature on RM, its importance, and the need for formalization and full attention to the subject; however, it aligns with the literature that argues that informality and intuition are the main management tools in the CCI, including risk. This is the main theoretical contribution of the research, to be confirmed and comprehended in future studies.
Following the literature, we understand that the analyzed subjects have a security and control posture toward clients when contracting the project, demonstrating a relatively high appetite for risk. However, because their mitigation strategies are mainly based on the overpricing of items in the physical-financial schedule when risk events occur and fatally exceed the initial financial forecast, there is an aversion to the effect of risk, transferring it to the customer in the form of delays and extra costs. This finding is a contribution to the RM literature at CCI and a contribution to the managerial practices also.
Regarding research limitations, despite the findings covering more than half of the observed population, we understand that it is impossible to generalize them. The CCI possibly has different characteristics according to the size of the companies and location. However, in practice, the results of this study are a red flag for industry leaders and associative entities, especially those in the analyzed region, and for academy and industry entities. Risk management is not a luxury and managers cannot neglect or treat based only on intuition. Re-education actions regarding the subject, the presentation of valuable tools, and the positive returns RM brings to products and businesses are needed.
For future work, we suggest expanding the study to other cities and regions in the country, observing the differences between the RM in different company sizes. We understand the need to explore if there are no resources for RM in companies due to the wrong resources allocation strategy; or if the lack of resources results from the lack of risk management. Also, in-depth case studies in the companies measuring the financial impacts of inadequate RM can improve the comprehension of this phenomenon.
References
-
Ameyaw, E. E., Chan, A. P. C., Owusu-Manu, D.-G., & Coleman, E. (2015). A fuzzy model for evaluating risk impacts on variability between contract sum and final account in government-funded construction projects. Journal of Facilities Management, 13(1), 45-69. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/JFM-11-2013-0055/full/html doi: 10.1108/JFM-11-2013-0055
» https://doi.org/10.1108/JFM-11-2013-0055» https://www.emerald.com/insight/content/doi/10.1108/JFM-11-2013-0055/full/html - Bardin, L. (2011). Análise de conteúdo. São Paulo: Edições 70.
-
Beltrão, L. M. P., & Carvalho, M. T. M. (2019). Prioritizing construction risks using fuzzy AHP in Brazilian public enterprises. Journal of Construction Engineering and Management, 145(2). Retrieved from https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001606 doi: 10.1061/(ASCE)CO.1943-7862.0001606
» https://doi.org/10.1061/(ASCE)CO.1943-7862.0001606» https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001606 -
Behling, G., & Lenzi, F. C. (2019). Entrepreneurial Competencies and Strategic Behavior: A Study of Micro Entrepreneurs in an Emerging Country. Brazilian Business Review, 16(3), 255-272. Retrieved from https://www.scielo.br/j/bbr/a/t59zMgNNNQ4B4rGyLzkRtvt/ doi: 10.15728/bbr.2019.16.3.4
» https://doi.org/10.15728/bbr.2019.16.3.4» https://www.scielo.br/j/bbr/a/t59zMgNNNQ4B4rGyLzkRtvt/ - Calôba, G., & Klaes, M. (2018). Gerenciamento de Projetos com PDCA. Rio de Janeiro: Alta Books Editora.
-
Catelan, D. W., & Cunha, M. S. (2023). Realocação setorial da ocupação e seus efeitos sobre o crescimento da informalidade no Brasil no período 2015-2018. Revista de Economia Contemporânea, 27, 1-25. Retrieved from https://www.scielo.br/j/rec/a/h6YmSBpxH6VbgJXJQD5hz4D/?lang=pt doi: 10.1590/198055272704
» https://doi.org/10.1590/198055272704» https://www.scielo.br/j/rec/a/h6YmSBpxH6VbgJXJQD5hz4D/?lang=pt -
Cavalcante, M. G. (2019). Formação do Risco Operacional na Construção Civil (Tese de doutorado). Universidade de Fortaleza, Fortaleza, CE, Brasil. Retrieved from http://bdtd.ibict.br/vufind/Record/UFOR_1650d95d326db348287563379418f848
» http://bdtd.ibict.br/vufind/Record/UFOR_1650d95d326db348287563379418f848 -
Conterato, F. C. G. (2018). Gerenciamento de escopo de projeto de arquitetura em edifícios de saúde (Tese de doutorado). Universidade de São Paulo, São Paulo, SP, Brasil. Retrieved from https://www.teses.usp.br/teses/disponiveis/17/17157/tde-14022019-101625/pt-br.php doi: 10.11606/D.17.2019.tde-14022019-101625
» https://doi.org/10.11606/D.17.2019.tde-14022019-101625» https://www.teses.usp.br/teses/disponiveis/17/17157/tde-14022019-101625/pt-br.php -
DeMarco, A., & Thaheem, M. J. (2014). Risk analysis in construction projects: a practical selection methodology. American Journal of Applied Sciences, 11(1), 74-84. Retrieved from https://thescipub.com/abstract/10.3844/ajassp.2014.74.84 doi: 10.3844/ajassp.2014.74.84
» https://doi.org/10.3844/ajassp.2014.74.84» https://thescipub.com/abstract/10.3844/ajassp.2014.74.84 -
Dikmen, I., Birgonul, M. T., Anac, C., Tah, J. H. M., & Aouad, G. (2008). Learning from risks: A tool for post-project risk assessment. Automation in Construction, 18(1), 42-50. Retrieved from https://www.sciencedirect.com/science/article/pii/S0926580508000691?via%3Dihub doi: 10.1016/j.autcon.2008.04.008
» https://doi.org/10.1016/j.autcon.2008.04.008» https://www.sciencedirect.com/science/article/pii/S0926580508000691?via%3Dihub -
Dixit, S., Sharma, K., & Singh, S. (2020). Identifying and analysing key factors associated with risks in construction projects. In K. Babu, H. Rao, & Y. Amarnath (Eds.), Emerging Trends in Civil Engineering (Vol. 61, pp. 25-32). Singapore: Springer. doi: 10.1007/978-981-15-1404-3_3
» https://doi.org/10.1007/978-981-15-1404-3_3 -
Ekung, S., Adu, E., & Lashinde, A. (2020). System pathogens inhibiting construction project risk management performance: deliberate ignorance perspective. Journal of Building Performance, 11(1), 68-76. Retrieved from https://spaj.ukm.my/jsb/index.php/jbp/article/view/426
» https://spaj.ukm.my/jsb/index.php/jbp/article/view/426 - Gerhardt, T. E., & Silveira, D. T (Orgs.) (2009). Métodos de Pesquisa. Porto Alegre: Editora da UFRGS.
- Gitman, L. J. (1997). Princípios de administração financeira (7a ed.). São Paulo: Harbra.
- Gonçalves, R. (2015). Ciclo e tendência na construção civil. Rio de Janeiro: FGV Projetos.
- Hanioglu, M. N. (2022). A Cost Based Approach to Project Management: Planning and Controlling Construction Project Costs. Abingdon, UK: Routledge.
-
Heckmann, I., Comes, T., & Nickel, S. (2015). A critical review on supply chain risk–Definition, measure and modeling. Omega, 52, 119-132. Retrieved from https://www.sciencedirect.com/science/article/pii/S030504831400125X?via%3Dihub doi: 10.1016/j.omega.2014.10.004
» https://doi.org/10.1016/j.omega.2014.10.004» https://www.sciencedirect.com/science/article/pii/S030504831400125X?via%3Dihub -
Krechowicz, M. (2020). Comprehensive risk management in horizontal directional drilling projects. Journal of Construction Engineering and Management, 146(5), 04020034. Retrieved from https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001809 doi: 10.1061/(ASCE)CO.1943-7862.0001809
» https://doi.org/10.1061/(ASCE)CO.1943-7862.0001809» https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001809 -
Kumar, K. S., & Narayanan, R. M. (2021). Review on construction risk and development of risk management procedural index – A case study from Chennai construction sector. Materials Today: Proceedings, 43(2), 1141–1146. Retrieved from https://www.sciencedirect.com/science/article/pii/S2214785320364889 doi: 10.1016/j.matpr.2020.08.606
» https://doi.org/10.1016/j.matpr.2020.08.606» https://www.sciencedirect.com/science/article/pii/S2214785320364889 -
Lenderink, B., Halman, J. I. M., Boes, J., Voordijk, H., & Dorée, A. G. (2022). Procurement and innovation risk management: How a public client managed to realize a radical green innovation in a civil engineering project. Journal of Purchasing and Supply Management, 28(1), 100747. Retrieved from https://www.sciencedirect.com/science/article/pii/S1478409222000024?via%3Dihub doi: 10.1016/j.pursup.2022.100747
» https://doi.org/10.1016/j.pursup.2022.100747» https://www.sciencedirect.com/science/article/pii/S1478409222000024?via%3Dihub -
Magalhães, R. M., Mello, L. C. B. B., & Bandeira, R. A. M. (2018). Planejamento e controle de obras civis: estudo de caso múltiplo em construtoras no Rio de Janeiro. Gestão & Produção, 25(1), 44-55. Retrieved from https://www.scielo.br/j/gp/a/c6TYKdKRG9ZdKvC8ZrSz9YR/?lang=pt doi: 10.1590/0104-530X2079-15
» https://doi.org/10.1590/0104-530X2079-15» https://www.scielo.br/j/gp/a/c6TYKdKRG9ZdKvC8ZrSz9YR/?lang=pt -
Manenti, E. M. (2017). Estado da arte em termos de contratos entre construtores, projetistas, fornecedores e investidores da construção civil brasileira (Trabalho de Conclusão de Curso). Universidade do Sul de Santa Catarina, Florianópolis, SC, Brasil. Retrieved from https://repositorio.animaeducacao.com.br/handle/ANIMA/8801
» https://repositorio.animaeducacao.com.br/handle/ANIMA/8801 -
Manning, R., & Messner, J. I. (2008). Case studies in BIM implementation for programming of healthcare facilities. Electronic Journal of Information Technology in Construction, 13, 446-457. Retrieved from https://www.itcon.org/papers/2008_18.content.05339.pdf
» https://www.itcon.org/papers/2008_18.content.05339.pdf - Merlo, K. B., Coutinho, M. L. G., & Vigna, C. M. (2022). Gestão de Risco na Construção Civil: Uma análise da infraestrutura de uma edificação tipo hélice-contínua. Revista de Administração Unimep, 19(7), 120-138.
-
Mota, P. P. (2017). Modelo BIM para gestão de ativos (Dissertação de mestrado). Universidade Estadual de Campinas, Campinas, SP, Brasil. Retrieved from https://repositorio.unicamp.br/acervo/detalhe/991975 doi: 10.47749/T/UNICAMP.2017.991975
» https://doi.org/10.47749/T/UNICAMP.2017.991975» https://repositorio.unicamp.br/acervo/detalhe/991975 -
Otero, J. A. (2018). Ferramenta de Gestão de Riscos baseada na Teoria dos Conjuntos Fuzzy para suporte à Garantia do Desempenho de Edificações Habitacionais (Tese de Doutorado). Universidade de Brasília, Brasília, DF, Brasil. Retrieved from https://repositorio.unb.br/handle/10482/33889
» https://repositorio.unb.br/handle/10482/33889 -
Pawar, A., & Pagey, S. (2017). Survey and analysis of risk management in building construction work. International Journal of Research in Engineering and Technology, 4(4), 2297-2299. Retrieved from https://www.irjet.net/archives/V4/i4/IRJET-V4I4579.pdf
» https://www.irjet.net/archives/V4/i4/IRJET-V4I4579.pdf - Project Management Institute. (2016). Construction Extension to the PMBOK Guide (9a ed.). Pennsylvania, USA: PMI.
-
Qammaz, A. S. A. S. B., & AlMaian, R. Y. (2020). A critical success factors model for effective implementation of risk management process in the construction projects. Journal of Engineering Research, 8(3), 50-70. Retrieved from https://kuwaitjournals.org/jer/index.php/JER/article/view/7877 doi: 10.36909/jer.v8i3.7877
» https://doi.org/10.36909/jer.v8i3.7877» https://kuwaitjournals.org/jer/index.php/JER/article/view/7877 -
Regis, M. R. S., & Cardoso, F. F. (2021). Barreiras para a gestão de riscos em empresas projetistas. Anais do XII Simpósio Brasileiro de Gestão e Economia da Construção, Maceió, Alagoas, Brasil, 12. Retrieved from https://eventos.antac.org.br/index.php/sibragec/article/view/408 doi: 10.46421/sibragec.v12i00.408
» https://doi.org/10.46421/sibragec.v12i00.408» https://eventos.antac.org.br/index.php/sibragec/article/view/408 -
Regis, M. R. S. (2023). Ferramenta de gestão de riscos aplicada na fase de pré-construção de empreendimentos de construção civil (Dissertação de mestrado). Universidade de São Paulo, São Paulo, SP, Brasil. Retrieved from https://www.teses.usp.br/teses/disponiveis/3/3153/tde-25052023-082301/pt-br.php doi: 10.11606/D.3.2023.tde-25052023-082301.
» https://doi.org/10.11606/D.3.2023.tde-25052023-082301.» https://www.teses.usp.br/teses/disponiveis/3/3153/tde-25052023-082301/pt-br.php -
Rehman, M. S. U., Thaheem, M. J., Nasir, A. R., & Khan, K. I. A. (2020). Project schedule risk management through building information modelling. International Journal of Construction Management, 22(8), 1489-1499. Retrieved from https://www.tandfonline.com/doi/full/10.1080/15623599.2020.1728606 doi: 10.1080/15623599.2020.1728606
» https://doi.org/10.1080/15623599.2020.1728606» https://www.tandfonline.com/doi/full/10.1080/15623599.2020.1728606 -
Roghanian, E., Alipour, M., & Rezaei, M. (2018). An improved fuzzy critical chain approach in order to face uncertainty in project scheduling. International Journal of Construction Management, 18(1), 1-13. Retrieved from https://www.tandfonline.com/doi/full/10.1080/15623599.2016.1225327 doi: 10.1080/15623599.2016.1225327
» https://doi.org/10.1080/15623599.2016.1225327» https://www.tandfonline.com/doi/full/10.1080/15623599.2016.1225327 -
Sá, I. P. C. (2016). Análise da maturidade em gerenciamento de projetos: estudo de caso em empresa de pequeno porte do setor de construção civil, manutenção e prestação de serviços de Niterói/RJ (Dissertação de mestrado). Universidade Federal Fluminense, Niterói, RJ, Brasil. Retrieved from https://app.uff.br/riuff/handle/1/12987
» https://app.uff.br/riuff/handle/1/12987 - Sanches, C, Marietto, M. L., & Paixão, M. R. (2011). Desenvolvimento e validação de questionário multidimensional, por meio de lógica paraconsistente, para medir a práxis de gestão de responsabilidade sócio ambiental. Anais do XIV Simpósio de Administração da Produção, Logística e Operações Internacionais, São Paulo, SP, Brasil, 14.
-
Senthil, J., & Muthukannan, M. (2021). Predication of construction risk management in modified historical simulation statistical methods. Ecological Informatics, 66, 101439. Retrieved from https://www.sciencedirect.com/science/article/pii/S1574954121002302 doi: 10.1016/j.ecoinf.2021.101439
» https://doi.org/10.1016/j.ecoinf.2021.101439» https://www.sciencedirect.com/science/article/pii/S1574954121002302 -
Schocair, M. M. (2021). Gestão de risco em projetos de construção civil: um estudo de caso das construtoras da cidade de Volta Redonda-RJ (Dissertação de mestrado). Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil. Retrieved from https://repositorio.ufjf.br/jspui/handle/ufjf/12631 doi: 10.34019/ufjf/di/2021/00039
» https://doi.org/10.34019/ufjf/di/2021/00039» https://repositorio.ufjf.br/jspui/handle/ufjf/12631 -
Shibani, A., Hasan, D., Saaifan, J., Sabboubeh, H., Eltaip, M., Saidani, M., & Gherbal, N. (2022). Financial risk management in the construction projects. Journal of King Saud University - Engineering Sciences. Retrieved from https://www.sciencedirect.com/science/article/pii/S1018363922000435?via%3Dihub doi: 10.1016/j.jksues.2022.05.001
» https://doi.org/10.1016/j.jksues.2022.05.001» https://www.sciencedirect.com/science/article/pii/S1018363922000435?via%3Dihub -
Siraj, N. B., & Fayek, A. R. (2019). Risk identification and common risks in construction: Literature review and content analysis. Journal of Construction Engineering and Management, 145(9), 03119004. Retrieved from https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001685 doi: 10.1061/(ASCE)CO.1943-7862.0001685
» https://doi.org/10.1061/(ASCE)CO.1943-7862.0001685» https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001685 -
Sivagami, M., & Sarath, I. (2018). Risk Management in Construction: A Literature Review. International Research Journal of Engineering and Technology, 5(11), 510-514. Retrieved from https://www.irjet.net/archives/V5/i11/IRJET-V5I1197.pdf
» https://www.irjet.net/archives/V5/i11/IRJET-V5I1197.pdf -
Tavakolan, M., & Etemadinia, H. (2017). Fuzzy weighted interpretive structural modeling: Improved method for identification of risk interactions in construction projects. Journal of Construction Engineering and Management, 143(11), 04017084. Retrieved from https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001395 doi: 10.1061/(ASCE)CO.1943-7862.0001395
» https://doi.org/10.1061/(ASCE)CO.1943-7862.0001395» https://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001395 -
Vergara, W. R. H., Teixeira, R. T., & Yamanari, J. S. (2017). Risk analysis in engineering projects: using PERT/CPM with simulations. Revista Exacta, 15(1), 75-89. Retrieved from https://link.gale.com/apps/doc/A596317305/AONE?u=anon~67476bb2&sid=googleScholar&xid=fd0e1b14
» https://link.gale.com/apps/doc/A596317305/AONE?u=anon~67476bb2&sid=googleScholar&xid=fd0e1b14 -
Zhao, X., Hwang, B.-G., & Phng, W. (2014). Construction project risk management in Singapore: resources, effectiveness, impact, and understanding. KSCE Journal of Civil Engineering, 18, 27-36. Retrieved from https://link.springer.com/article/10.1007/s12205-014-0045-x doi: 10.1007/s12205-014-0045-x
» https://doi.org/10.1007/s12205-014-0045-x» https://link.springer.com/article/10.1007/s12205-014-0045-x -
Zhong, X., Xu, X., Chen, X., & Goh, M. (2020). Large group decision-making incorporating decision risk and risk attitude: A statistical approach. Information Sciences, 533, 120-137. Retrieved from https://www.sciencedirect.com/science/article/pii/S0020025520303030?via%3Dihub doi: 10.1016/j.ins.2020.04.003
» https://doi.org/10.1016/j.ins.2020.04.003» https://www.sciencedirect.com/science/article/pii/S0020025520303030?via%3Dihub
-
Copyrights
ReA/UFSM owns the copyright to this content.
-
Plagiarism Check
The ReA/UFSM maintains the practice of submitting all documents approved for publication to the plagiarism check, using specific tools, e.g.: Turnitin.
-
1
Incomplete or duplicate responses obtained in the questionnaire were disregarded.
-
2
For more details, see Schocair (2021), which contains the parameters used to classify the degrees of belief and disbelief and degrees of certainty and contradiction.
-
3
Due to its objectivity, systematization, and inference as methodological characteristics. This method consists of three stages: pre-analysis; exploration of the material; and the treatment of results, inference, and interpretation. The pre-analysis consists of systematizing the initial ideas and establishing indicators for interpreting the information (Bardin, 2011).
APPENDIX
Appendix – Table of risk factors identified by survey
Category | Subcategory | Factors | Indications | |
---|---|---|---|---|
Economics | Cost related to the purchase and application of materials | 17/23 | ||
Personnel expenses | 14/23 | |||
Purchase cost of machinery and equipment | 9/23 | |||
Others: Lack of ability to pay customers | 1/23 | |||
Behavior of the local and global economy, inflation, exchange rate variation | 13/23 | |||
Taxes and fees | 11/23 | |||
Financial | Financing capacity | 13/23 | ||
Localization | Availability of labor | 15/23 | ||
Topography, soil conditions and weather patterns | 13/23 | |||
Logistical access | 8/23 | |||
Constructions on existing facilities | 7/23 | |||
Buildings in new facilities | 7/23 | |||
Construction and environmental permits | 16/23 | |||
Local laws and regulations | 14/23 | |||
Community acceptance of the project | 7/23 | |||
Technical and Design | Electric and hydraulic Structural | Incomplete and/or deficient cost and schedule estimation | 15/23 | |
Continuous and unruly design changes | 12/23 | |||
Inappropriate and incomplete design | 9/23 | |||
Unawareness of land conditions | 9/23 | |||
Lack of technique to perform tasks | 7/23 | |||
Lack of technical knowledge, little experience | 6/23 | |||
Land surveys and incorrect foundations | 5/23 | |||
Architectural | Incorrect use of equipment, materials and techniques | 4/23 | ||
Compatibilization. | Inaccurate technical bases and errors in structural design | 4/23 | ||
Fire plan | Technical research absence | 3/23 | ||
Customer return delays | 10/23 | |||
Excessive owner involvement in the project creation process | 8/23 | |||
Unavailability of use of public services | 4/23 | |||
Commercial | financial | Economic recessions | 17/23 | |
Financing | 14/23 | |||
High interest rates | 7/23 | |||
Exchange rate fluctuations | 4/23 | |||
Runaway inflation | 2/23 | |||
Planning Mon. Control | Contractor selection procedure | 13/23 | ||
Design priorities | 9/23 | |||
Project management information systems | 7/23 | |||
Design selection procedure | 4/23 | |||
Control of the main project issues | 3/23 | |||
Insurance | 1/23 | |||
Properties and authorizations statutory | Land acquisition | 10/23 | ||
Damage to neighboring properties | 5/23 | |||
Clear urban zoning | 11/23 | |||
Release of regulatory institutions | 10/23 | |||
Expropriations | 5/23 | |||
Right of way | 1/23 | |||
Delays in the land access agreement | 1/23 | |||
Construction | Suppliers contractors subcontractor | Labor disqualification | 17/23 | |
Lack of training and technical knowledge | 16/23 | |||
Labor unavailability | 12/23 | |||
Contractor and subcontractor capacity | 10/23 | |||
Incompetence for management | 10/23 | |||
Inefficiency in project management | 11/23 | |||
Failure to respect the company’s quality standards | 8/23 | |||
Failure to comply with health and safety regulations and responsibilities | 8/23 | |||
Equipment breakdowns | 6/23 | |||
Unavailability of time to use special materials | 3/23 | |||
Inadequate equipment and materials | 3/23 | |||
Restrictions on working hours | 2/23 | |||
Equipment commissioning | 1/23 | |||
Technical | Unexpected costs | 16/23 | ||
Low-detail projects | 12/23 | |||
Constant changes in work orders | 7/23 | |||
Calculation errors in the quantities of work | 6/23 | |||
Lack of technical direction | 5/23 | |||
Construction site and layout | Safety | 15/23 | ||
Interference between tasks | 8/23 | |||
Availability of resources | 7/23 | |||
Resource overload | 3/23 | |||
Access | 7/23 | |||
Public services Availability | 2/23 | |||
geography and weather | Topography | 11/23 | ||
Geography and soil | 7/23 | |||
Insufficient soil tests | 5/23 | |||
Unexpected weather conditions | 13/23 | |||
Groundwater and land drainage | 8/23 | |||
Security | Theft | 17/23 | ||
Sabotage | 6/23 | |||
Vandalism | 8/23 | |||
Corruption | 5/23 | |||
Illegal occupations | 3/23 | |||
Drug trafficking | 2/23 | |||
Management | Extra work | 16/23 | ||
Errors in time and cost estimates | 14/23 | |||
Delivery delays | 12/23 | |||
Payment delays | 10/23 | |||
Dependence on a supplier, employee, or product | 9/23 | |||
Suppliers’ evaluation | 6/23 | |||
Contract insolvency | 4/23 | |||
Inadequacy in the change request procedure | 4/23 | |||
Performance | Low productivity | 17/23 | ||
Negligence | 12/23 | |||
Task execution failure | 10/23 | |||
Accidents | 8/23 | |||
Lack of knowledge and skill | 7/23 | |||
Unsuitable materials | 6/23 | |||
Critical deadlines | 6/23 | |||
Labor disputes | 1/23 | |||
External | Contractual factors | Low definition and little project documentation | 11/23 | |
Inappropriate schedule | 10/23 | |||
Late influence on changes | 7/23 | |||
Negligence to new stakeholders | 2/23 | |||
Quality expectations (from the customer) higher than those documented | 15/23 | |||
Act of God | Economic and political instability | 20/23 | ||
Acts of God | 16/23 | |||
Market changes | 13/23 | |||
Adverse climates | 10/23 | |||
Natural calamities | 10/23 | |||
Regulation changes | 9/23 | |||
Strikes | 9/23 | |||
Political | Distorted public perception | 13/23 | ||
Citizens’ interests | 9/23 | |||
Negative public exposure | 2/23 | |||
Environmental | Hazardous waste, noise, contamination | 10/23 | ||
Unexpected regulations | 10/23 | |||
Environmental impact statements | 8/23 | |||
Preservation of historical or biological heritage | 2/23 | |||
Visibility politics and regulation- tions | Excessive bureaucratization | 22/23 | ||
Law changes | 10/23 | |||
Political and environmental pressures | 6/23 | |||
Justice Obstructions | 4/23 | |||
Political sensitivity | 4/23 | |||
Vulnerability of political support | 3/23 | |||
Statutory requirements or authorizations from regulatory institutions | 3/23 | |||
Organizational | Employees and partners’ attitudes | 12/23 | ||
Staff inexperience | 11/23 | |||
Priority changes | 11/23 | |||
Insufficiency of resources | 8/23 | |||
Organizational culture | 6/23 | |||
Complexities in internal approvals | 4/23 | |||
Inconsistent goals | 4/23 | |||
Disagreement with goals | 2/23 | |||
Management | Insufficient planning time | 12/23 | ||
High staff turnover | 11/23 | |||
Insufficient resources | 11/23 | |||
Inexperience of staff | 8/23 | |||
Resource availability | 6/23 | |||
Unforeseen workload | 5/23 | |||
Poorly defined project purpose | 4/23 | |||
Overloaded portfolio | 3/23 | |||
Incomplete identification of interested parties | 2/23 | |||
Inadequate claim procedures | 1/23 |
Edited by
-
Edited by
Jordana Marques Kneipp
Publication Dates
-
Publication in this collection
30 Oct 2023 -
Date of issue
2023
History
-
Received
26 Apr 2022 -
Accepted
27 June 2023