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The purpose of this study is to contribute to the theory and practice of project management in the construction industry by identifying the primary causes and extracting the underlying causes of construction delays and providing recommendations on delay mitigation measures.

AA survey was used to identify the importance of 47 causes of delays. The relative importance index was used to rank them, factor analysis was applied to extract the underlying causes and focus group interviews were used for discussion and development of mitigation measures.

Six of the ten most important causes are in the top ten universal delays in construction projects. Factor analysis revealed six underlying causes: improper planning, poor consultant performance, inefficient site management, owner influence, bureaucracy and sub-standard contracts.

The owner/sponsor/client must have adequate engineering and project management skills to be able to evaluate proposals and contractors more accurately, economically and technically. The bidding and contract award process should focus on the most economically advantageous proposal and contracts should provide for mechanisms for managing risks while executing projects. Contractors should select reliable, high-quality subcontractors and suppliers and should have competent site managers.

This work expands and improves the understanding of the causes of delays in construction projects by providing an empirical study of the causes of delays and respective mitigation measures in Portugal.

The purpose of this paper is to explore the applicability of the failure mode and effects analysis (FMEA) as an effective tool for decreasing failure risk in the early phase of the new product development (NPD), which adds to existing literature on the application of FMEA in NPD.

Through the application of action research (AR) methodology, it was possible to develop a case study examining the use of FMEA to decrease NPD risk in an early phase of NPD execution.

The importance and immediate gains of identifying NPD failures support FMEA's usefulness for NPD risk decrease. Moreover, its user-friendliness, timeliness and cost advantages facilitate the introduction of FMEA in the early phase of NPD execution.

FMEA is a well-known method used in manufacturing companies to identify and correct failures in products, processes and systems. This article explores the lack of practice-oriented evidence on the use of FMEA in the early phase of NPD execution and provides support to its applicability and effectiveness.

The objective of this study is to propose a sequence of implementation of the core characteristics of reconfigurability: modularity, integrability, diagnosability, adaptability and customization. For this purpose, the relationships among the core characteristics and Industry 4.0 technologies are analyzed as well as the impacts of one core characteristic on another.

This study presented tests and validated two hypothesized models based on the literature. This paper was based on a questionnaire survey. Portuguese manufacturing companies were the sampling frame. In total, 600 questionnaires were distributed and a total of 112 responses were eligible for statistical processing, representing a response rate of 18.7%. Structural equation modeling (SEM) was used to hypothesize the sequence of implementation of the core characteristics of reconfigurability.

The findings presented a roadmap to implement reconfigurability, which implies significant managerial contributions on how to make the transition from conventional to reconfigurable manufacturing systems (RMSs). This highlights the importance of the sequence of implementation of the core characteristics in order to make the most of each to achieve reconfigurability.

Implementing reconfigurability is crucial to manufacturing companies to respond to changes in production requirements and market fluctuations quickly. However, there is a gap between theory and practice in regard to achieve reconfigurability in existing manufacturing systems. This gap includes (1) understanding the type of relationships among the core characteristics of reconfigurability, (2) understanding the influence that one core characteristic has on another and (3) establishing a sequence of implementation for the core characteristics. This study makes a contribution to fill this gap in the research area.

The purpose of this paper is to investigate the current level of reconfigurability implementation and its impact on manufacturing systems’ operational performance empirically.

This study is based on a questionnaire survey. Statistical analysis procedures were adopted to accomplish its objectives, namely, clustering methods based on cluster centroids. An ANOVA analysis was used to test for cluster differences among the variables.

The results show that the manufacturing companies surveyed can be divided into three clusters, with different levels of reconfigurability implemented. The implementation of the core characteristics of reconfigurability depends on the product’s complexity and demand variability, in terms of volume and product mix, as these have an impact on the operational performance, in terms of quality, delivery and flexibility.

The data for this survey were collected from manufacturing companies based in Portugal. Therefore, the replication of this questionnaire in other countries is recommended for future research to confirm its findings.

The questionnaire developed could be used by managers to assess the level of reconfigurability of their production systems and for internal/external benchmarking. The findings may help managers to decide which core characteristics should be implemented in their manufacturing systems.

The majority of the research addressing performance issues in reconfigurable manufacturing systems has been applied to case studies. This research reports an empirical investigation using a questionnaire-based methodology to provide generalisable empirical evidence.

In the twenty-first century, the family has been turning towards a greater plurality of training paths, situations, family and parental arrangements. However, despite changes in legislation, values, representations and practices, the word family remains inexorably associated with the heterosexual bi-parental model. This paper aims to contribute to the knowledge of the family dynamics of non-heterosexual people, mainly concerning the process of transition to parenting, in relation to family changes in Portuguese society. To do so this study aims to analyze four in-depth interviews¹ with young adults, women and men who have a homoconjugality relationship and a project of parenting in mind.

Based on a qualitative methodology the study intends to discuss issues related to the challenge of heteronormativity, equality within the couple, projects and gender representations of parenthood and in particular what it means for the men and women interviewed, to be a father and to be a mother in a same sex couple and how they project themselves as fathers and mothers.

The study discusses all these issues always in relation to the biographical trajectories, the history and life as a couple and the structural and individual resources, such as school and professional qualifications. It also analyzes the main difficulties experienced in revealing their sexuality to the significant others and the difficulties / strategies they anticipate in relation to the parenting project.

The authors conclude that female interviewees show greater independence of a male figure in relation to their parental projects and anticipate less difficulty in their parental skills compared with the gay man interviewed.

To analyze the dynamics of parenting in same-sex couples, this study also points out to the need to construct a model of analysis capable of articulating structural factors, such as job insecurity and heteronormativity, biographies and individual resources and profiles of conjugal interactions.

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.

The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.

The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.

An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the effects of the growing production demand, it is essential to address the prevention of food loss and waste (FLW). Therefore, the aim of the present study is to identify the causes of FLW, model their interrelationships and determine their root causes for the Brazilian beef supply chain (SC).

16 causes are analysed using an integrated interpretive structural modelling (ISM) and matrix impact of cross-multiplication applied to classification (MICMAC) methodology. ISM identified interrelationships among the causes and MICMAC determined the root causes of FLW.

The ISM highlights the “Lack of transportation infrastructures”, “Inadequate handling”, “Poor operational performance”, “Variety of products available in supermarkets” and “Unhealthy animals and outbreaks of disease” as the most influential causes and the MICMAC classifies them as the root causes of FLW in the Brazilian beef SC.

The results provide fundamental insights for researchers, practitioners and policymakers, by exploring which causes are more influential and which are the root causes, thereby assisting the SC members in the definition of suitable strategies to mitigate FLW.

This is the first empirical analysis of the interdependencies between the causes of FLW in the beef SC.

This paper aims to investigate supply chain (SC) strategies, analyzing the adoption of lean, agile, leagile and traditional SC strategies with respect to product characteristics, environmental uncertainty, business performance and innovation performance.

The paper presents an empirical analysis carried out on a sample of 329 companies. Cluster analysis was applied, based on lean and agile SC characteristics, to identify patterns among different SC strategies. One-way analysis of variance of different constructs by types of SC clusters was conducted to test the research hypotheses.

Cluster analysis indicates that the companies studied adopt four types of SC strategies – lean, agile, leagile and traditional. The differences between the clusters are identified and discussed, highlighting that companies adopting a leagile SC strategy present the highest performance, while those that adopt a traditional SC present the lowest; companies adopting an agile SC compete in the most complex and dynamic environments, while companies with a lean SC present a clear predominance of functional rather than innovative products.

This paper provides empirical evidence of the antecedents and consequences of the adoption of different SC strategies. As a limitation, the results are based on a survey research with a limited sample size.

Based on the analysis of the relationship between constructs that have not been addressed previously, the paper adds to the knowledge regarding the role of SC strategies, as well as the antecedents and consequences of their adoption. The results may support managers in the difficult task of choosing the “right” SC strategy.

The importance of innovation as a generator of competitive advantage and the collaborative nature of this process are recurring themes in the literature. This paper aims to contribute to the improvement of knowledge about the relationship between supply chains and the innovation process by means of a systematic literature review.

The method used consists of the identification, selection, analysis and synthesis of existing research on the subject and aims to ensure that the review is transparent, auditable and replicable. This paper presents the analysis of 94 papers from 37 journals and the major contributions are explored.

The identification and analysis of relevant articles showed the complexity, timeliness and the wide-ranging character of the theme. The analysis of articles allowed the identification of facilitators of the innovation process, as well as five approaches applicable to supply chains to drive the innovation process. From these analyses, a model synthesising the main practices identified for improving innovation performance is presented.

When carrying out literature reviews, the selection of articles might be considered subjective. To circumvent this limitation, the papers have been assessed by three researchers.

The results presented can be applied in the decision-making process by managers in the areas of innovation and supply chain.

This paper synthesises knowledge involving the relationships between supply chains and the innovation process. The analysis is based on quantitative and qualitative criteria.