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This perspective study aims to discuss the inclusion of technology in hotels as a key driver of sustainability.

The paper covers literature and prospects the implementation of smart hotels as a tourism agenda to achieve sustainable development goals.

Smart hotels can provide a better and more efficient tourism service, in terms of operational tasks and sustainable gains, without losing critical human interaction, which can be a tactic to boost the hotel’s relationship with their customers.

The paper shows how smart hotels can increase business efficiency, and in addition, meet tourist expectations and become more sustainable. In this sense, smart and sustainable hotels deserve to be listed in tourism agenda 2030.

这篇观点文章讨论了将技术作为可持续发展的关键驱动因素纳入酒店。

本文涵盖文献和前景, 将智能酒店的实施作为实现可持续发展目标的旅游议程。

智能酒店可以在运营任务和可持续收益方面提供更好、更高效的旅游服务, 同时不会失去关键的人际互动, 这可以成为加强酒店与客户关系的一种策略。

本文展示了智能酒店如何提高业务效率, 此外, 满足游客的期望并变得更具可持续性。从这个意义上说, 智能和可持续发展的酒店值得列入 2030 年旅游议程。

El artículo analiza la bibliografía sobre hoteles inteligentes y su posibilidades de implantación como tema de la agenda turística para alcanzar los objetivos de desarrollo sostenible.

Este artículo de perspectiva analiza la inclusión de la tecnología en los hoteles como motor clave de la sostenibilidad.

Los hoteles inteligentes pueden proporcionar un servicio turístico mejor y más eficiente, en términos de tareas operativas y ganancias sostenibles, sin perder la crítica interacción humana que puede ser una táctica para impulsar la relación del hotel con sus clientes.

El documento muestra cómo los hoteles inteligentes pueden aumentar la eficiencia empresarial y, además, satisfacer las expectativas de los turistas y ser más sostenibles. En este sentido, los hoteles inteligentes y sostenibles merecen figurar en la agenda turística 2030.

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 technological and digital revolution has introduced important changes in the tourism industry. However, capturing the extent of the new tourism 4.0 paradigm is still difficult. This study aims to assess the dimensions related to the concepts of industry 4.0 in tourism and hospitality, tourism innovation and tourism ecosystem when considered simultaneously, and their role in promoting a new wave of competitiveness in the tourism industry.

A bibliometric study was conducted based on tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem using 120 eligible articles published between 2008 and 2021 from the Web of Science database.

This study demonstrated the advances in industry 4.0 in tourism and hospitality publications over 13 years and identified five interconnected dimensions: (1) knowledge transfer in tourism; (2) networking tourism innovation; (3) sources of tourism innovation; (4) smart tourism ecosystem and (5) innovation research in tourism. It was also concluded that tourism development should be a regional competence based on strategic networking and externalisation of regional knowledge flows.

This bibliometric review provides important implications and recommendations for several players of industry 4.0 in tourism and hospitality and policymakers. Not only did it make it possible to create a state of art, but also to categorise the existing interconnections between the dimensions of Tourism 4.0, Hotel 4.0, Tourism innovation and Tourism ecosystem to optimise its implementation and generate greater value. In addition, practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and actors in this sector.

Apart from state of the art, this bibliometric review made it possible to categorise the existing interconnections between the dimensions of tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem to optimise its implementation and generate greater value. Practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and several players in this sector.

This study addresses the existing literature gap in the interconnection of industry 4.0 with tourism and hospitality by describing the most relevant conceptual interconnections and setting practical implications for improving the competitiveness of the tourism industry. Furthermore, it integrates previous studies and outlines future lines of investigation.

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.

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 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.

Post-traumatic stress disorder (PTSD) is associated with risk of suicide and chronic psychological impairment. The continued exposure to stress suffered by health-care workers (HCWs) during the COVID-19 pandemic can be considered a mass traumatic event and contribute to higher rates of PTSD in this population. The purpose of this research is to find out the prevalence and factors associated with PTSD among HCW in a general hospital.

The authors devised a survey to assess the prevalence of PTSD among HCWs in a general hospital and its relationship with sex, social support, profession, work experience in health care, time spent caring for COVID-19 patients and place in which the COVID-19-related activities were carried out. PTSD symptoms were assessed using the PCL-5, Portuguese version.

A total of 226 HCWs were included in the study. Provisional diagnosis of PTSD was made based on the PCL-5 responses, considering DSM-5 criteria and the cutoff score of 33. In total, 79 (35.0%) HCWs had a provisional diagnosis of PTSD, and a significant association was found between PTSD and time spent working with COVID-19 patients and between PTSD and place of work, namely, the COVID-19 emergency room and intensive care unit.

The results highlight the need for a reflection on the importance of mental health promotion among HCWs, specially in adverse conditions such as the current pandemic.

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.