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The purpose of the study is to compare methodologies for mapping a historic building, with image capture by smartphones and drones, using photogrammetric techniques for three-dimensional (3D) modeling of the structure. Processes and products are also analyzed, as well as possibilities for storing and visualizing data for structuring a cadastre of historical and artistic heritage are studied.

For mapping with smartphones, the overlapping of photographs was guaranteed, with data acquisition using three different cameras, on the same date as the aerial survey. The models were made from different combinations of camera use. For storage, a conceptual model based on ISO 19.152:2012 is proposed, which was implemented in the MongoDB, resulting in a database for storage. The visualization was carried out on the Cesium ion platform.

The results indicate that the terrestrial 3D reconstruction using smartphones is an efficient alternative to the historical and artistic cadastre, presenting texture quality superior to the aerial survey in a shorter production time. When dealing with the conceptual model, the LADM (Land Administration Domain Model) standardization guarantees interoperability and facilitates data exchange. In addition, it proved to be flexible for the creation of thematic profiles, supporting their effective storage. The insertion of data in the visualization platform was simple and effective, and it even generated sharing links for visualization of the models.

The study analyses a low-cost method with the use of easily accessible devices, with a combination of methodologies and applied techniques. The data storage and visualization method is also simple and flexible, suitable for application in the cadastre of historical heritage.

The purpose of this paper is to experimentally validate the crack growth control based on the topological derivative of the famous Rice's integral.

Single edge notch tensile specimens with two configurations were tested. Displacement fields near notch were experimentally obtained using the digital image correlation method. These displacements were used to verify the minimization of the associated shape functional, which is defined in terms of the Rice's integral, when a set of controls (holes) positioned according to the topological derivative information, is inserted. Based on the Griffth's energy criterion, this minimization represents an improvement in the fracture toughness of cracked bodies.

The experimental tests confirmed that a decrease around 27% in the value of the associated shape functional can be obtained following this approach. Therefore, the results allow us to conclude that the predictive methodology for crack growth control based on the topological derivative is feasible.

This is the first work concerning experimental validation of crack growth control based on the topological derivative method.

The purpose of this paper is to analyze the consumers’ luxury value perception in Brazilian premium beer market.

Data from a survey of 418 Brazilian consumers were used to test the research model. Confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modeling was used to analyze the consumers’ luxury value perception.

The analytical results showed that the dimensions of social, individual and functional values featured items with high significance. For the fourth dimension (financial value), just one item presented relevance. Along with it, correlation between dimensions was analyzed. All four dimensions have higher significance and great estimates.

This research was executed in a single country environment.

Results suggest that the only significant item to the consumers’ luxury value perception in the dimension of financial value is the higher price of premium beers. Other dimensions are well fit for the premium beer market.

To present date, marketing literature in the beer issue approaches its consumption as an economic phenomenon. This paper develops a notion that beer consumption can also be approached in a luxury consumption perspective. The framework developed in this paper can assist future researchers to consider consumption of different types and levels of beer, based on luxury value perception.

As economies with high economic complexity and productive capabilities may easily adapt their productive structure due to product differentiation and innovation, the central variable of competitiveness for these countries is the product quality, not price. On the other hand, the price can be an important determinant of less complex countries, and hence, real exchange rate (RER) misalignments may have long-term impacts. This paper aims to empirically assess variations in the magnitude of the impact in RER misalignments on output growth subject to countries’ economic complexity.

The estimation technique used is the generalized method of moments-System estimator as this method is robust to reverse causality. Heterogeneous regressions using interaction models are undertaken to analyze to what extend promoting economic complexity can reduce price competitiveness dependence and allow countries to grow faster without relying on cost competitiveness.

Estimates show that economic complexity (which measures technological and productive capabilities) determines cross-country differences regarding the effects of RER misalignments on countries’ long-term growth rates. The results suggest that exchange rate devaluations may not be effective for countries at the top end of the technological ladder while an overvalued RER may damage the long-term growth rate of countries with low levels of economic complexity.

This paper contributes to the literature by empirically investigating the impact of RER misalignments in countries with distinct technological and productive capabilities based on the recent developments of countries’ economic complexity analysis. It investigates whether more diversified and complex economies are less sensitive to RER misalignments as they can adapt their production, undertake other tasks, create new products and increase the quality of products they produce. Less complex economies, on the other hand, are less capable of innovating because it demands productive capabilities they do not have, and hence, they are more dependent on their current export basket.

This paper aims to generate knowledge of the impact of different virtual reality (VR) set-ups in tourism promotion regarding destination image, place attachment and behavioural intention.

The paper presents a comparative study of the impact of different visualisation technologies (video, immersive VR and multisensory immersive VR) to promote tourism destinations. The study’s dependent variables are destination image, place attachment and behaviour intention.

Results show that VR content impacts these variables. Multisensory immersive VR is the preferred content type for destination promotion. It is also evidenced that female participants scored each variable higher than male participants. Males reported higher scores on the video set-up for destination image and place attachment. Behavioural intention reported higher values in the video when compared to immersive VR in both sexes.

This paper concludes that there is a preference towards multisensory set-ups, which suggests that incorporating audiovisual and sensory elements can significantly enhance the effectiveness of VR experiences in attracting and engaging potential tourists.

The paper contributes to the scarce body of knowledge regarding the impact of different VR factors on tourism promotion, including the multisensory VR component.

本文旨在探讨不同虚拟现实（VR）设备在旅游推广中对目的地形象、地方依恋和行为意图的影响, 并增加对此方面的认识。

本文对不同可视化技术（视频、沉浸式VR和多感官沉浸式VR）在旅游目的地推广中的影响进行了比较研究。研究的依赖变量包括目的地形象、地方依恋和行为意图。

研究结果表明, VR内容对这些变量有影响。多感官沉浸式VR是目的地推广的首选内容类型。研究还证明, 女性参与者在每个变量上的评分高于男性参与者。男性在视频设备上对目的地形象和地方依恋评分较高。无论是在男性还是女性中, 视频在行为意图方面的得分都高于沉浸式VR。

我们得出结论, 人们更偏好多感官设备, 这表明将视听和感官元素纳入虚拟现实体验可以显著提高吸引和吸引潜在游客的效果。

本文对不同虚拟现实因素对旅游推广的影响, 包括多感官VR组成部分, 做出了有益的贡献。

This study investigates the corruption practices from a behavioral perspective, and aims to verify the impact of health Management Information System (MIS) institutionalization on corruption vulnerabilities and the intention to commit corruption. The studied vulnerabilities are related to management: lack of internal control, accountability, transparency and disburdened administration. This study was conducted in the Brazilian public health system.

A research model and instrument were created based on the literature. The model was later tested using the partial least squares technique. A survey of 355 valid responses followed a pilot test with 87 ones. The respondents were civil servants of the Brazilian public health system.

Seven of the eight hypotheses were confirmed, supporting the main hypothesis that MIS institutionalization impacts individuals’ behavior by reducing their intention to commit corruption. Institutionalized health MIS improves public management, enabling the prevention of favoritism when awarding service provision contracts, undue payments to corrupt employees and waste of medical and hospital supplies.

This research adds to the knowledge on corruption from an individual’s behavior perspective influenced by MIS institutionalization in a Latin American perspective. Corruption is a social and cultural-based phenomenon, which reinforces the importance of understanding the effect of Information Systems institutionalization on corruption vulnerabilities in this context. A research model and instrument were created and validated, confirming corruption vulnerabilities that influence behavior. The intention to commit corruption is reduced when mediated by institutionalized MIS. Consequently, the focus must be shifted from moral beliefs to creating and strengthening organizational capacity to systematically identify and reduce vulnerabilities and deter misbehavior and wrongdoings.

This paper aims to identify the winning combination of innovation capabilities for selected Brazilian agribusiness firms along different value chain links.

Adopting a quantitative approach, the authors analyzed the relationship between innovation capabilities and innovative performance of 300 agribusiness firms through a multi-regression technique.

The results showed that transaction, management and development capabilities can improve agribusiness firms’ performance in underdeveloped value chains.

For future research, the authors recommend analyzing further links such as traders and retailers to find the innovation capability for the entire agribusiness value chain.

Upstream firms should adopt new management techniques and tools, efficiently using their resources, while downstream firms should absorb and transform new technologies into products and processes.

The authors suggest formulating public policies that propose the recombination of innovation capabilities to organize agribusiness firms and avoid commodity-oriented market dependence.

The literature on agribusiness explains innovation at the chain level, based primarily on scientific advancements rather than on innovation at the firm level. In this sense, this study provides empirical evidence that can help boost innovation in agribusiness firms.

The ongoing pandemic has gravely affected different facets of society and economic trades worldwide. During the outbreak, most manufacturing and service sectors were closed across the globe except for essential commodities such as food and medicines. Consequently, recent literature has focused on studying supply chain resilience and sustainability in different pandemic contexts. This study aims to add to the existing literature by exploring the economic, environmental and societal aspects affecting the food supply chain and assessing the impact of COVID-19 on food sustainability.

A survey method has been adopted with a questionnaire instrument investigating the role of technology, government policies, geopolitics and intermediaries on sustainable organisational management. A five-point Likert scale (i.e. 1 = strongly disagree; 5 = strongly agree) is used to evaluate the responses. The findings are based on 131 responses from entry-level workers and senior executives of different food supply chains across Asia and Europe. The data has been analysed to derive insights into the impacts of this pandemic.

The survey concludes with the significant impact of COVID-19 on the three pillars of sustainability, i.e. economic, social and environmental dimensions. The empirical analysis shows digitalisation and its applications help mitigate the negative effect of COVID-19 on sustainability. In addition, the supportive government policies and intermediatory interventions were helpful in improving sustainability at each level.

The findings have implications for businesses and policymakers. Companies can learn from the advantages of digitalisation to counter the challenges imposed by the pandemic or similar situations in the future in maintaining the sustainability of their supply chains. Managers can also learn the importance of effective organisational management in driving sustainability. Finally, policymakers can devise policies to support businesses in adopting sustainable practices in their supply chains.

This study adds to the limited literature exploring the impact of COVID-19 on food supply chain sustainability through the triple bottom line lens. To the best of the authors’ knowledge, this is also one of the first empirical studies to examine the effect of technology, government and organisational management practices on the sustainability of food supply chains.

This research aims to analyze the deployment of lean practices and resilience capabilities within the healthcare supply chain across different disruptive scenarios. The study addresses the gap in how different tier levels of the healthcare supply chain integrate lean and resilience.

Employing a case study approach, the research evaluated four Italian organizations (two healthcare providers, one pharmaceutical distributor and one pharmaceutical producer) representing the three main tier levels of the healthcare supply chain. The methodology involved a questionnaire assessing the adoption of specific lean practices and resilience capabilities, followed by a scenario analysis by experts used to identify critical practices and capabilities across different disruptive scenarios.

This research systematically identified critical lean practices and resilience capabilities that are underutilized at various tier levels within the healthcare supply chain, highlighting significant opportunities for theoretical advancement in operational efficiency and system robustness during disruptions. Additionally, the study introduced a novel methodological approach to evaluate the effectiveness of lean and resilience practices across different disruptive scenarios, thereby enriching the theoretical framework for crisis management within healthcare operations. Finally, we emphasized the crucial roles of just-in-time and anticipation capability in bolstering the performance of all the healthcare supply chain.

The study contributes to the fields of supply chain management and healthcare by systematically identifying and classifying the importance of lean practices and resilience capabilities in managing disruptions. Additionally, the potential for cross-tier collaboration and knowledge sharing to enhance overall supply chain resilience is highlighted.

This chapter provides a detailed analysis of the recent evolution (1993–2007) of Brazilian income inequality. Particularly, we assess the contribution of different income sources to inequality, using three different decomposition techniques: Shorrocks (1982), Lerman and Yitzhaki (1985), and Gini decomposition. We exploit a recent dataset (PNAD, 2004) that allows the identification of different governmental transfer programs (Bolsa-Família, PETI, and BPC) and their impacts into inequality. While informal labor income and self-employment income reduces inequality in almost every measure, the opposite is true for public sector wages. Private formal labor income is becoming less important in explaining Brazilian inequality over time, but its behavior is still important, as it represents more than 40% of the total income. We find that social transfer programs have a limited, but positive impact on equality. On the other hand, dynamics of pensions attenuate the recent path of decreasing inequality in Brazil.