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1 – 10 of 103Neil Govender, Samuel Laryea and Ron Watermeyer
Competitive tendering in South Africa is often associated with procurement based on the lowest fee tendered. Previous research on this topic did not provide in-depth examinations…
Abstract
Purpose
Competitive tendering in South Africa is often associated with procurement based on the lowest fee tendered. Previous research on this topic did not provide in-depth examinations of how pricing within consulting engineering companies was affected by competitive tendering nor did it illuminate the extent to which professional services were impacted by competitive tendering. This paper aims to examine the implications of competitive tendering on pricing and delivery of consulting engineering services in South Africa.
Design/methodology/approach
A survey research strategy with a questionnaire as the research instrument elicited qualitative data from 28 experienced consulting engineers in South Africa. Thematic analysis was used to analyse qualitative data from the questionnaires.
Findings
Three key themes were identified, namely: considerations when determining consulting engineering fees on competitively tendered projects; the impact of reduced fees due to competitive tendering on the delivery of consulting engineering services; and interventions to prevent unsustainably “low” professional fees. Many consulting engineers in South Africa still determine fees using fee scales, while other considerations include resources, project complexity, risk, etc. Most participants asserted that design optimisation/value engineering, training, meetings and construction monitoring were adversely impacted by “low” fees.
Originality/value
This paper provides in-depth qualitative feedback from experienced consulting engineers (most having more than 20 years’ experience) on a topical issue in the South African construction industry. Thematic analysis was a novel method of analysis that was not used previously in this area of study.
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Christopher Amoah and Demetri Steyn
Complying with the code of conduct by professionals in the construction industry worldwide has become a significant issue over the years. This has led to projects' failure…
Abstract
Purpose
Complying with the code of conduct by professionals in the construction industry worldwide has become a significant issue over the years. This has led to projects' failure, leading to losses to both the client and contractors. The study's objective is to identify the challenges of construction professionals in complying with their code of conduct and preventing corrupt practices.
Design/methodology/approach
Quantitative approach was used to collect empirical data by sending questionnaires to 56 construction professionals in South Africa. Data gathered were analysed through Excel statistical tool. Mean values were calculated for the quantitative data, whilst thematic content analyses were used to generate frequencies and percentages for qualitative data.
Findings
The findings indicate that construction professionals experience many unethical issues in their work duties such as inflated tender prices, overpricing the rates, tender-based kickbacks, bribes for projects, unethical methods of project execution, use of lower grade materials than specified, discrimination, among others. However, issues such as greediness, acceptance of corruption as usual practice, lack of knowledge about the code of conduct, the only way to get contracts, part of the process, and peer pressure create a challenge in complying with the code of conduct and preventing corrupt practices among construction professionals.
Practical implications
Construction professionals face many unethical and corrupt practices in their project management and execution, which they cannot overcome due to many factors. Therefore, there is the need to sensitise the professionals in the construction industry regarding their code of conduct as well as the danger associated with engaging in corrupt practices in their work and their implication on project performance.
Originality/value
The findings give an insight into the critical factors curtailing the construction professional's ability to comply with their code of conduct and be corrupt-free in their line of duty. Thus, professional associations can use the findings in guiding their members.
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Elina Karttunen, Aki Jääskeläinen, Iryna Malacina, Katrina Lintukangas, Anni-Kaisa Kähkönen and Frederik G.S. Vos
This study aims to build on the dynamic capability view by examining dynamic capabilities associated with public value in public procurement.
Abstract
Purpose
This study aims to build on the dynamic capability view by examining dynamic capabilities associated with public value in public procurement.
Design/methodology/approach
A qualitative case study approach is used in this study. The interview and secondary data consist of eight cases of value-creating procurement from four public organizations.
Findings
The findings connect dynamic capabilities and public value in terms of innovation generation and promotion, well-functioning supplier markets, public procurement process effectiveness, environmental and social sustainability and quality and availability of products or services.
Social implications
Dynamic capabilities in public procurement are necessary to improve public procurement.
Originality/value
This study extends understanding of how sensing, seizing and transforming capabilities contribute to public value creation in both innovative and less innovative (i.e. ordinary) procurement scenarios.
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Luís Jacques de Sousa, João Poças Martins and Luís Sanhudo
Factors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s…
Abstract
Purpose
Factors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s financial compliance. Predicting budget compliance in construction projects has been traditionally challenging, but Machine Learning (ML) techniques have revolutionised estimations.
Design/methodology/approach
In this study, Portuguese Public Procurement Data (PPPData) was utilised as the model’s input. Notably, this dataset exhibited a substantial imbalance in the target feature. To address this issue, the study evaluated three distinct data balancing techniques: oversampling, undersampling, and the SMOTE method. Next, a comprehensive feature selection process was conducted, leading to the testing of five different algorithms for forecasting budget compliance. Finally, a secondary test was conducted, refining the features to include only those elements that procurement technicians can modify while also considering the two most accurate predictors identified in the previous test.
Findings
The findings indicate that employing the SMOTE method on the scraped data can achieve a balanced dataset. Furthermore, the results demonstrate that the Adam ANN algorithm outperformed others, boasting a precision rate of 68.1%.
Practical implications
The model can aid procurement technicians during the tendering phase by using historical data and analogous projects to predict performance.
Social implications
Although the study reveals that ML algorithms cannot accurately predict budget compliance using procurement data, they can still provide project owners with insights into the most suitable criteria, aiding decision-making. Further research should assess the model’s impact and capacity within the procurement workflow.
Originality/value
Previous research predominantly focused on forecasting budgets by leveraging data from the private construction execution phase. While some investigations incorporated procurement data, this study distinguishes itself by using an imbalanced dataset and anticipating compliance rather than predicting budgetary figures. The model predicts budget compliance by analysing qualitative and quantitative characteristics of public project contracts. The research paper explores various model architectures and data treatment techniques to develop a model to assist the Client in tender definition.
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A deteriorating security situation and an increased need for defence equipment calls for new forms of collaboration between Armed Forces and the defence industry. This paper aims…
Abstract
Purpose
A deteriorating security situation and an increased need for defence equipment calls for new forms of collaboration between Armed Forces and the defence industry. This paper aims to investigate the ways in which the accelerating demand for increased security of supply of equipment and supplies to the Armed Forces requires adaptability in the procurement process that is governed by laws on public procurement (PP).
Design/methodology/approach
This paper is based on a review of current literature as well as empirical data obtained through interviews with representatives from the Swedish Defence Materiel Administration and the Swedish defence industry.
Findings
Collaboration with the globalized defence industry requires new approaches, where the PP rules make procurement of a safe supply of defence equipment difficult.
Research limitations/implications
The study's empirical data and findings are based on the Swedish context. In order to draw more general conclusions in a defence context, the study should be expanded to cover more nations.
Practical implications
The findings will enable the defence industry and the procurement authorizations to better understand the requirements of Armed Forces, and how to cooperate under applicable legal and regulatory requirements.
Originality/value
The paper extends the extant body of academic knowledge of the security of supply into the defence sector. It serves as a first step towards articulating a call for new approaches to collaboration in defence supply chains.
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Anna-Therése Järvenpää, Johan Larsson and Per Erik Eriksson
This paper aims to identify how a public client’s use of control systems (process, output and social control) affect innovation possibilities in construction projects.
Abstract
Purpose
This paper aims to identify how a public client’s use of control systems (process, output and social control) affect innovation possibilities in construction projects.
Design/methodology/approach
Semi-structured interviews about six infrastructure projects were conducted to identify respondents’ views on innovation possibilities. These possibilities were then analyzed from an organizational control perspective within principal–agent relationships between the Swedish Transport Administration (STA) and their contractors.
Findings
How the client uses control systems affects innovation possibilities. Relying on process control could negatively affect innovation opportunities, whereas output control could have a positive influence. In addition, social control seems to have a weak effect, as the STA appears not to use social control to facilitate joint innovation. Public clients must comply with the Public Procurement Act and, therefore, retain the requirements specified in the tendering documents. Much of the steering of the execution is connected to the ex ante phase (before signing the contract), which affects innovation possibilities in the design and execution phases for the contractor.
Research limitations/implications
This study was conducted with only one client, thus limiting its generalizability. However, the findings provide an important stepping stone to further investigation into balancing control systems and creating innovation possibilities in a principal–agent relationship.
Originality/value
Although public procurement has increasingly been emphasized as a major potential source of innovation, studying how a public client’s use of organizational control systems affects innovation possibilities in the construction sector has received scant attention.
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Klara Granheimer, Tina Karrbom Gustavsson and Per Erik Eriksson
Prior research has emphasised the importance of the early phases of construction projects, as well as the difficulties of procuring engineering services – especially due to the…
Abstract
Purpose
Prior research has emphasised the importance of the early phases of construction projects, as well as the difficulties of procuring engineering services – especially due to the uncertainties. Despite that, studies on the public procurement of engineering services are scarce. Although scholars have shown that uncertainty may affect the choice of control modes, the level of uncertainty that characterises services is not addressed by the two task characteristics: knowledge of the transformation process and output measurability. The purpose is to investigate organisational control in public procurement of engineering services.
Design/methodology/approach
The existing control model was adjusted in this study by conceptually adding uncertainty as a third aspect to the two task characteristics. A single case study of the Swedish Transport Administration was used. The empirical data, comprising 14 interviews with managers from the client and engineering consulting companies, were analysed using flexible pattern matching and visual mapping approaches and then illustrated using the model.
Findings
The public client did not base its choice of control modes on uncertainty, but rather on the other two task characteristics. Consequently, the service providers argued that the chosen control modes reduced their creativity, increased their financial risks and caused unclear responsibilities. This study therefore shows that uncertainty is an important factor to consider in the choice of control modes, both from a theoretical perspective and from the service providers' point of view. The developed model may therefore be useful for researchers as well as practitioners.
Originality/value
This study is the first attempt to add uncertainty as a task characteristic when choosing control modes. The results contribute to the scarce control literature regarding the procurement of engineering services for construction projects and the procurement of other services with high uncertainty.
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In industrial buyer–supplier relationships, being an attractive customer has been found to result in superior supplier performance. However, there is a limited understanding of…
Abstract
Purpose
In industrial buyer–supplier relationships, being an attractive customer has been found to result in superior supplier performance. However, there is a limited understanding of how these benefits transfer to the public domain. This study aims to explore the influence of customer attractiveness on supplier resource mobilization efforts toward the public sector.
Design/methodology/approach
A qualitative approach was used, focusing on in-depth interviews with 23 informants from 3 critical and complex supplier markets. The data were processed using inductive coding and thematic analysis.
Findings
The findings indicate that customer attractiveness in the public sector influences suppliers’ mobilization efforts on several dimensions. In addition to stimulating competition in the tender phase, customer attractiveness can yield important benefits to quality, supply stability and innovation during the business relationship. It appears imperative for the public sector to improve its standings with suppliers to both mitigate the apparent risk of sub-par treatment and to unlock the preferential supplier treatment associated with being an attractive customer.
Social implications
Receiving increased mobilization from suppliers will result in better use of public money and help improve resilience and innovation in public procurement.
Originality/value
This study extends the research on customer attractiveness in the public sector by being the first to explore the range and nature of its influence on supplier mobilization efforts.
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Joseph Kuruneri and Wiston Zivanai
Governments worldwide seek to optimize value in public project bids. Social procurement (SP) has become a global tool for achieving project goals. The purpose of this study is to…
Abstract
Purpose
Governments worldwide seek to optimize value in public project bids. Social procurement (SP) has become a global tool for achieving project goals. The purpose of this study is to assess the understanding of SP among contractors and identify its drivers to optimize the value associated with public projects.
Design/methodology/approach
A total of 15 major contractors were interviewed to obtain their views on SP, appreciate their current practices and identify the main drivers of SP in projects. A semistructured interview was used to gather relevant data. Neo-institutional theory is the lens of the study used to provide the focus of the research. The collected data were analyzed using the thematic data analysis technique.
Findings
The study found that SP is understood as corporate social responsibility and is not handled in a structured manner guided by policies or clearly defined procedures. Additionally, research has shown that compliance requirements, rather than value and goodwill, are the main inspiration for SP practices.
Research limitations/implications
The study’s limitation is the fact that it was conducted in the context of Botswana and only used the interview technique as the solo data collection method. The other limitation is the lack of empirical literature on SP concerning the lack of SP policy in Botswana.
Originality/value
This study raises awareness of the concept of SP among contractors in Botswana and eases its implementation within the industry.
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Abdulmohsen S. Almohsen, Naif M. Alsanabani, Abdullah M. Alsugair and Khalid S. Al-Gahtani
The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the…
Abstract
Purpose
The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the quality of the owner's estimation for predicting precisely the contract cost at the pre-tendering phase and avoiding future issues that arise through the construction phase.
Design/methodology/approach
This paper integrated artificial neural networks (ANN), deep neural networks (DNN) and time series (TS) techniques to estimate the ratio of a low bid to the OEC (R) for different size contracts and three types of contracts (building, electric and mechanic) accurately based on 94 contracts from King Saud University. The ANN and DNN models were evaluated using mean absolute percentage error (MAPE), mean sum square error (MSSE) and root mean sums square error (RMSSE).
Findings
The main finding is that the ANN provides high accuracy with MAPE, MSSE and RMSSE a 2.94%, 0.0015 and 0.039, respectively. The DNN's precision was high, with an RMSSE of 0.15 on average.
Practical implications
The owner and consultant are expected to use the study's findings to create more accuracy of the owner's estimate and decrease the difference between the owner's estimate and the lowest submitted offer for better decision-making.
Originality/value
This study fills the knowledge gap by developing an ANN model to handle missing TS data and forecasting the difference between a low bid and an OEC at the pre-tendering phase.