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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Luís de Sousa and Patrícia Calca
The two main objectives of this project were to advance knowledge about the way corruption and related offences are structured and operate in society and to draw inferences on the…
Abstract
Purpose
The two main objectives of this project were to advance knowledge about the way corruption and related offences are structured and operate in society and to draw inferences on the efficiency and efficacy of the judicial authorities in handling reported offences with the ultimate goal of improving and effecting control policies.
Design/methodology/approach
In this research note the authors attempt to explore the relevance of judicial materials. The authors developed an analytical framework to extract information from court case decisions and analysed 838 court cases on corruption and related offences in Portuguese first instance courts for the period 2004–2008 to map the distribution of corruption and related offences, understand the anatomy of corruption as a criminal offence and learn from the judicial system's capacity to investigate, prosecute and trial reported occurrences.
Findings
Most corruption cases took place in the major metropolitan areas, involved municipalities as passive agents and construction companies as active agents and had to do with urban sprawl and land management policies. Court data also allowed the authors to gauge the areas or sectors of activity more exposed to corruption risks. Generally speaking, these tend to be those areas or sectors characterized by high levels of informality and clientelism, high profitability ratios deriving from political decisions, unbalanced supply-demand of decisional goods and services, disorganised and fragmented regulation, low levels of transparency and insufficient or misguided supervision.
Research limitations/implications
The framework for analysis is replicable in other contexts with minor adjustments. The major limitation is access to court decisions/narratives. This project was developed in partnership with the Portuguese Public Prosecutor's Office. This has facilitated access to those materials. For those wishing to use the database, the major limitation is that it covers only the period 2004–2008.
Practical implications
The court narratives confirm that in cases where the complaint is complemented by documentary, audio, video and photographic evidences collected by special investigative means the subsequent production of proof in court is more effective. The data also suggests that cases reported from inside the organisation where the offence takes place are likelier to reach the trial phase, thus reinforcing the need for diversifying and strengthening reporting mechanisms and procedures and the guarantees to those who are willing to collaborate with the auditing and investigative authorities.
Social implications
The authors contend that court cases of corruption and related offences yield important and useful policy-oriented information that should not be overlooked by decision-makers when upgrading their efforts to fight corruption.
Originality/value
This research note introduces a novel dataset on corruption court cases in Portugal. The policy significance of this dataset is threefold: (1) it provides decision-makers a more detailed mapping of the volume and distribution of corruption and related offences across the country than that provided by standard judicial statistics; (2) it fosters knowledge on key sociological aspects of the corrupt fact, thus helping decision-makers to understand better the type of actors, objectives, contexts, resources and exchanges involved and (3) it helps to understand the dynamics of judicial proceedings and how certain procedural and institutional features impact on outcomes.
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Luís de Sousa, Isabel R. Pinto, Felippe Clemente and Gustavo Gouvêa Maciel
This article presents focus groups as a method to enhance questionnaire design to frame and test items for a mass survey on corruption and austerity in democracy. Such methodology…
Abstract
Purpose
This article presents focus groups as a method to enhance questionnaire design to frame and test items for a mass survey on corruption and austerity in democracy. Such methodology lacks systematization when it comes to the description of implementation procedures and the discussion of effective contribution to the development of survey questions on sensitive topics. The objective of this article is to contribute to the specialized literature on corruption by offering a novel focus group approach and a roadmap to guide researchers in the field when using this methodology to develop questionnaire items. This hands-on guide can be adaptable to other (survey) studies on issues prone to social desirability bias.
Design/methodology/approach
This article proposes an innovative multi-technique (short questionnaire, visual stimuli and exploratory discussion with expert moderation) focus group approach to collect informal impressions about corruption and austerity. By developing a focus group design through the combination of different research techniques, the authors were able to triangulate reflexive, spontaneous and interactive qualitative bottom-up information about individual perceptions and reactions to sensitive topics. By describing how to implement these groups, other than discussing what type of qualitative information can be extracted from these discussions and to what effect, the authors seek to present a hands-on guide that can be replicated and adapted to similar studies. This roadmap will help researchers to test individual perceptions and reactions to sensitive topics through the use of tailored focus groups in order to enhance the quality of survey questionnaires prior to engaging in a high-cost fieldwork.
Findings
The article concludes that the adoption of the multi-technique focus group approach to requalify and test questions for a nationwide survey gives us a better understanding of the many ethical dilemmas individuals confront when thinking about and expressing their views on sensitive topics prone to social desirability bias. The proposed multi-technique focus group approach proved to be effective to engage participants during sessions and to obtain relevant and unanticipated information for the development of new questionnaire items and the reviewing of old ones.
Research limitations/implications
Implementing Focus Group (FG) in regions with different cultural traditions and levels of development and contrasting the perceptions, values and attitudes of two generations, with different formative backgrounds is not an easy task. In order to secure the adequate number and type of participants, the Focus Group were organized in close collaboration with four higher education institutions and two lifelong learning programs where the sessions took place. Participation was voluntary and consented, in accordance with the applicable legislation and standards for social research.
Practical implications
The article presents an accessible and adaptable roadmap to researchers working in the field of corruption studies as well as anticorruption government agencies and CSOs interested in enhancing the quality of survey questionnaires on sensitive topics target of social desirability before engaging in a high-cost fieldwork and to describe relevant information that can be extracted from the discussions held.
Social implications
Most cross-country surveys on corruption tend to use basic/traditional measures to assess the phenomenon, such as questions on extension, acceptability and/or experience. They take almost for granted that people have the same understanding of this complex construct, which may not hold true, as the focus group discussions illustrate. The three-stage focus group design aims to improve the quality of a survey design regarding people's attitudes, perceptions and experiences of corruption in democracy, by contributing to the development of new questions that tap into the relationship between social condemnation and the individual's socio-economic conditions.
Originality/value
The article provides a low-cost combination of qualitative-oriented (questionnaire development through focus groups) with a quantitative-oriented research tool (mass survey implementation) to meet mixed-method research objectives and enhance the ability to capture several “non-statistical” dimensions of complex social phenomena that are often neglected when a single-methodology approach is used.
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Luís Jacques de Sousa, João Poças Martins, Luís Sanhudo and João Santos Baptista
This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase…
Abstract
Purpose
This study aims to review recent advances towards the implementation of ANN and NLP applications during the budgeting phase of the construction process. During this phase, construction companies must assess the scope of each task and map the client’s expectations to an internal database of tasks, resources and costs. Quantity surveyors carry out this assessment manually with little to no computer aid, within very austere time constraints, even though these results determine the company’s bid quality and are contractually binding.
Design/methodology/approach
This paper seeks to compile applications of machine learning (ML) and natural language processing in the architectural engineering and construction sector to find which methodologies can assist this assessment. The paper carries out a systematic literature review, following the preferred reporting items for systematic reviews and meta-analyses guidelines, to survey the main scientific contributions within the topic of text classification (TC) for budgeting in construction.
Findings
This work concludes that it is necessary to develop data sets that represent the variety of tasks in construction, achieve higher accuracy algorithms, widen the scope of their application and reduce the need for expert validation of the results. Although full automation is not within reach in the short term, TC algorithms can provide helpful support tools.
Originality/value
Given the increasing interest in ML for construction and recent developments, the findings disclosed in this paper contribute to the body of knowledge, provide a more automated perspective on budgeting in construction and break ground for further implementation of text-based ML in budgeting for construction.
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Leopoldo Arias‐Bolzmann, Orkun Sak, Andres Musalem, Len Lodish, Rodrigo Báez K. and Luis José De Sousa
In recent years there has been a marked increase in the consumption of bottled wine in the United States. Associated with this phenomenon, there has been a substantial rise in the…
Abstract
In recent years there has been a marked increase in the consumption of bottled wine in the United States. Associated with this phenomenon, there has been a substantial rise in the number of vineyards from foreign countries entering this competitive market. The study examines the factors that influence wine prices. Specifically, the article proposes that the country of origin, the perceived quality and the varietal of the wine have an effect on wine price in favour of countries with greater wine traditions. These premises were tested by means of a multiple regression model estimated using a sample drawn from the North American market. The study concluded that this market recognises differences in country of origin, quality and varietal. Specifically, these factors significantly influence wine prices, with price premiums being awarded to wines of varietal Pinot and to wines produced in France.
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Filipe J. Sousa and Luis M. de Castro
Markets-as-networks (MAN) theorists contend, at least tacitly, the significance of business relationships to the firm – that is, business relationships contribute somewhat to…
Abstract
Markets-as-networks (MAN) theorists contend, at least tacitly, the significance of business relationships to the firm – that is, business relationships contribute somewhat to corporate survival or growth. One does not deny the existence of significant business relationships but sustain, in contrast to the consensus within the MAN theory, that relationship significance should not be a self-evident assumption. For significance cannot be a taken-for-granted property of each and every one of the firm's business relationships. The authors adopt explicitly a critical realist meta-theoretical position in this conceptual paper and claim that relationship significance is an event of the business world, whose causes remain yet largely unidentified. Where the powers and liabilities of business relationships (i.e., relationship functions and dysfunctions) are put to work, inevitably under certain contingencies (namely the surrounding networks and markets), relationship effects ensue for the firm (often benefits in excess of sacrifices, i.e., relationship value) and as a consequence relationship significance is likely to be brought about. In addition, relationship significance can result from the dual impact that business relationships may have on the structure and powers and liabilities of the firm, that is, on corporate nature and scope, respectively.
Ernie Ko, Yu-Chang Su and Chilik Yu
The purpose of this paper is to provide insights into the multiple anti-corruption agencies (ACAs) in Taiwan and their conflict resolution. The birth of the Agency Against…
Abstract
Purpose
The purpose of this paper is to provide insights into the multiple anti-corruption agencies (ACAs) in Taiwan and their conflict resolution. The birth of the Agency Against Corruption (AAC) in 2011 created the unintended consequence of sibling rivalry with the elder Ministry of Justice Investigation Bureau (MJIB).
Design/methodology/approach
A historical background of these agencies is discussed and followed by an analysis of the diversified conflicts among the prosecutor’s office, the AAC and the MJIB. The empirical sources of this study include 17 in-depth interviews with government officials both at ministerial level and field level, scholars and NGO representatives.
Findings
The redundancy of ACAs in Taiwan is a fact, which is extremely difficult to change in the foreseeable future in the light of current political and fiscal constraints. This paper concludes that the conflicts among multiple ACAs and their operational weaknesses will not fade away after a mere directive from their superior, the Ministry of Justice, unless genuine cooperation is put into place in various individual cases.
Practical implications
This paper provides a road-map for decision makers to improve collective anti-corruption performance. Taiwan’s AAC serves as the latest example testing the efficacy of the multiple specialized ACAs.
Originality/value
This pioneering study provides insights into Taiwan’s anti-corruption policy and practices. More investigative studies should be conducted on the effectiveness of multiple ACAs in other countries.
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Ricardo Manuel Da Costa Melo, Eunice Cristina Ribeiro Lopes, José Luis Coelho Vilas Boas, Lúcia Batista Santos, Sandra Cristina Ferreira Amaro, João Miguel Almeida Ventura-Silva and Isabel de Jesus Oliveira
The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the…
Abstract
Purpose
The impact of dependence on self-care on people’s lives is very significant, with consequences for the person and their caregivers. The purpose of this study is to map the evidence on the factors that influence the empowerment of the person dependent on self-care on returning home.
Design/methodology/approach
Scoping review according to the criteria proposed by the Joanna Briggs Institute: population (people with a dependence on self-care), concept (factors that influence training) and context (return home after hospitalization in a medical-surgical context). The research was carried out from March 1 to April 30, 2022, in the databases CINAHL and MEDLINE (via EBSCO), Scielo, LILACS, Cuiden and MedicLatina; Gray literature searched RCAAP, DART-Europe and OpenGrey. Studies published in Portuguese, Spanish and English were included, with no time limit.
Findings
One hundred and eighty-one articles were obtained, which, after analysis according to the criteria, resulted in seven studies included for review, ranging from 2007 to 2021, with a level of evidence between 2. c and 4. a (according to Joanna Briggs Institute), and two thematic areas/four categories emerging.
Research limitations/implications
The need for information and training, the relationship and proximity with the health-care team, the design of nursing care targeted at the person’s level of dependence, education, gender, type of surgical intervention and postoperative period, physical space and lack of privacy and audiovisual media.
Originality/value
The perception of these factors proves to be important in the person’s training process, with the nurse’s role being highlighted due to their emphasis on the transition home.
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Barbara de Lima Voss, David Bernard Carter and Bruno Meirelles Salotti
We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in…
Abstract
We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.
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Stênio de Sousa Venâncio, Swami Marcondes Villela, José Luís da Silva Pinho and José Manuel Pereira Vieira
The purpose of this paper is to construct a numerical model for the numerical analysis of the hydraulic transient profile in Trabalhador channel for filling and emptying maneuvers…
Abstract
Purpose
The purpose of this paper is to construct a numerical model for the numerical analysis of the hydraulic transient profile in Trabalhador channel for filling and emptying maneuvers and to determine the water level in time. Model results support operational managers in the decision-making process.
Design/methodology/approach
Physical data were provided for the construction and calibration of the numerical model. The equations of Saint-Venant were approximated by a finite difference scheme and the numerical model was written in Fortran. The results of filling and emptying of the channel simulations were compared with the measured water levels.
Findings
Measured water levels and those simulated by the numerical model have shown good correlation. The time recorded for the filling and emptying of the canal was also close between the measured and simulated data. The simulation design flow pointed to inundation in the channel banks. Simulation water levels were slightly higher than those measured.
Research limitations/implications
In this model, the combination of canals and pressure conduits was not considered.
Practical implications
The findings confirm the measured time for filling and emptying of the canal, as well as inundation of canal banks for the maximum design flow. These results help in the management process.
Originality/value
This paper presents a numerical model for hydraulic transient analysis in channels with good agreement with the field data.