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The case study is inspired in Interpretative Phenomenological Analysis (IPA) to make sense of a Relational Model within Artistic Creation (RMAC) developed by the author a long time in their artistic and research practices.

An Interpretative Phenomenological Analysis (IPA) is considered within a case study where the author is simultaneously researcher and participant, using old unsolicited diaries for more than a decade as raw material.

RMAC was previously presented as a tool for creating (maker) as well as a tool for research (researcher) in specific solo performance art projects, being the first time that it is approached through an Interpretative Phenomenological Analysis, bringing new insights into artistic practice and research within their intersections.

This paper brings them the use of IPA in a case study with a researcher-participant to make sense of how RMAC, a model already presented formally and developed for many years, appeared and changed the author's professional and personal life. Also, it is given a new study using diaries as material within IPA.

The purpose of this study is to investigate international trade determinants, paying special attention to variables related to climate change and non-tariff measures (NTMs), as they shape more and more world trade flows, with particular incidence on globalised goods, such as wine.

Based on panel data of Port wine exports to 60 countries, between 2006 and 2018, a gravity model has been estimated through Poisson pseudo-maximum likelihood. Explanatory variables include NTMs, mean temperature, temperature anomaly, gross domestic product (GDP), exchange rate, ad valorem equivalent tariffs and home bias.

The findings show that exports are inversely related to both mean temperature and temperature anomaly in importing countries. Regarding NTMs, it is found that only part of them are trade deterrent. Additionally, purchasing power in importing countries is one of the main determinants of Port wine exports.

The results show that, besides traditional economic variables, policymakers and wineries should include in their exports' decisions the impact of variables related to climate change and NTMs.

The novelty of this paper is to incorporate the impact of climatic variability of importing countries as a determinant of international trade of wine. Most former studies inspired of the gravity model consider explanatory variables such as GDP and exchange rate, and more recent ones started to consider NTMs too, however, this study may be the first paper to include the impact of climate change (quantified by mean temperature and temperature anomaly in importing countries) on exports.

The purpose of this paper is to examine, through a qualitative lens, how community elder abuse and the ageing process are represented in the older adults’ narratives reporting abuse perpetrated by family members.

A qualitative study of a convenience sample of 22 interviews from 24 older adults (two couples) aged 60 years or older who had experienced one or more types of abuse and had sought help about the victimisation experience. A general inductive approach of thematic content analysis was employed.

The four main emergent themes related to the passage of time or the perception of becoming old within the process of abuse were: abuse grown old, abuse after entering later life, vulnerability to abuse and responses to abuse. Ageing was found to be associated with an increase vulnerability to abuse and an important element in shaping how older adults experience, report and cope with victimization. The social and contextual issues of being older also influenced the decision of ending (or not) the abuse and the victims’ repertoire of responses.

Despite the little suitability of chronological age to define and delimit elder abuse, understanding the phenomenon demands the recognition of ageing (both as a process and as a product) in order to more accurately identify aetiology processes and develop interventions.

Based on an extensive review of the literature, the purpose of this paper is to propose an analytical model that enables the study of the corporate social responsibility (CSR)’s strategic orientation of companies through the analysis of: the different types of CSR integration into company strategies; the different levels of CSR strategic maturity; and the path necessary to be followed for a company to achieve its full development and correspondingly forecasting which initiatives hold the greatest contribution toward this end.

This paper sets out a conceptual framework, which was drafted building on an extensive critical review of the literature seeking to incorporate the diverse contributions made by the existing CSR models and classifications.

The analytical framework here proposed enables a wide reaching approach to analyzing strategic CSR, their underlying motivations and its core factors. It also extends to considering the different phases of maturity enabling the evaluation of the distinctive levels of CSR integration into the company strategy and the stage at which the company currently stands at on its determined path.

From a practical perspective, the suggested framework enables practitioners to access a practical tool that specifically measures their companies’ CSR maturity and strategic profile and which may serve as well as a means of diagnosis, improvement or of adaptation.

This model of analysis generates the identification of the factors explaining the different levels of CSR integration into the company strategy and evaluating the level of maturity prevailing.

Psychological elder abuse (PEA) assessment is described with different thresholds. The purpose of this paper is to examine how the prevalence of PEA and the phenomenon’s characterisation varied using two different thresholds.

Participants from the cross-sectional population-based study, Aging and Violence (n=1,123), answered three questions regarding PEA. The less strict measure considered PEA as a positive response to any of the three evaluated behaviours. The stricter measure comprised the occurrence, for more than ten times, of one or more behaviours. A multinomial regression compared cases from the two measures with non-victims.

Results show different prevalence rates and identified perpetrators. The two most prevalent behaviours (ignoring/refusing to speak and verbal aggression) occurred more frequently (>10 times). Prevalence nearly tripled for “threatening” from the stricter measure (>10 times) to the less strict (one to ten times). More similarities, rather than differences, were found between cases of the two measures. The cohabiting variable differentiated the PEA cases from the two measures; victims reporting abuse >10 times were more likely to be living with a spouse or with a spouse and children.

Development of a valid and reliable measure for PEA that includes different ranges is needed.

The study exemplifies how operational definitions can impact empirical evidence and the need for researchers to analyse the effect of the definitional criteria on their outcomes, since dichotomization between victim and non-victim affects the phenomenon characterisation.

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.

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.

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.

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.

This paper aims to discuss how trade union leaders deal with the implementation of Industry 4.0 (I4.0). The study is circumscribed to the Brazilian automotive sector and came from a human-centric (Industry 5.0) concern related to issues such as organisational learning, knowledge, innovation and workplace learning.

Case studies in two truck plants related to union participation during new product and process implementation based on Industry 4.0. Semi-structured interviews with union leaders from both plants were conducted to determine the subtle similarities and differences between the two polar types.

The findings pointed out that human resources and workplace learning must be reviewed to prepare workers to face I4.0. Four themes are explored: modernisation origins; negotiation process; workers’ concerns; and results and lessons learned. The findings highlight concerns about employees and job loss; replacement of workers by technological devices; workplace learning and the trade union perspective; and influence of the country’s economic situation on I4.0 implementation in social systems dependent on worker tacit knowledge.

This paper presents labour union leaders’ perspectives related to the impact of I4.0 and contributes to a better understanding of industry-worker workplace learning.

Two years on from the launch of the United Nations 2030 agenda, this study aims to approach just how and why large Portuguese companies are incorporating the sustainable development goals (SDGs) into their strategies. This sets out a theoretical framework for priority levels of management and the key rationales and motivations towards the adoption of the SDGs by companies within the scope of identifying logical and mutual connections.

The proposed theoretical framework applied an empirical, qualitative study approach, deploying content analysis of the semi-structured interviews carried out.

The results convey how the responding companies are using the different management models identified for integrating the SDGs, with the strategic and operational facets of greatest relevance. There are various key reasons put forward in justification of this involvement, in particular highlighting the understanding of the 2030 agenda as an ethical and social contract followed by concerns over managing stakeholders. The results demonstrate that these main motivations influence the management level at which the SGDs undergo integration, yet they do not determine the type of integration.

The analysis of a limited number of companies and the fact that the semi-structured interviews were made with a single representative, which correspondingly reflects how the responses received convey the understandings, visions, values and responsibilities of these interlocutors.

This provides one of the first studies contributing towards understanding how and why businesses are aligning with the SDGs. At the conceptual level, this proposes a theoretical framework for analysing the underlying logics and the levels of integration into business management and how both can be interconnected. In practical terms, this clarifies how business management strategies may leverage the integration of the 2030 agenda as a mechanism for implementing corporate sustainability.

This paper aims to propose guidelines for public sector managers in assessing the impact of outsourcing on business continuity (BC) strategies. This paper evaluated how public managers from the state of Pernambuco, Brazil, perceive outsourcing, considering BC and how it relates to the outsourcing of services and activities.

Theoretical lenses of outsourcing and BC were used to derive the study hypotheses. A questionnaire was drawn up to collect information to test the hypotheses. To test the proposed hypotheses, binary logistic regression was used through an empirical analysis of a sample of 51 Brazilian public managers.

This study found that when the public sector suffers from negative impacts of financial restrictions, outsourced services are the first ones to receive the negative impacts. This has had an adverse impact on BC in the public sphere. On the other hand, the authors verified that the public sphere’s capacity for resilience and the existence of specific methodologies to support public managers in outsourcing decision-making can contribute to BC.

This study assists public organizations to take advantage of internal outsourced services in the best possible way, making better use of public resources, gaining social legitimacy and legitimacy also in the provision of public services. However, each public sector can present different risks of non-continuity, and this aspect could not be considered in this research as well.

This study is a pioneer in highlighting the relationships between outsourcing strategies and BC in public services in Brazil. Through the guidelines discussed in this study, public managers could develop a more effective response to the implications of post-outsourcing budget constraints. In addition, the findings of this paper add to an understanding of the importance of business strategies for public services continuity and seek to help reduce uncertainties and better inform the government decision-making process.

This paper aims to identify relevant innovations in Tokyo’s spatial articulation of infrastructure, building and public space, intertwining large-scale networks with local scale urban fabrics, to inform urban management towards sustainable urban transitions.

The research used a methodological combination of literature review, relevant case identification and analysis, on-site survey and photography, morphological interpretation through cartographic analysis and urban space and architectural redrawing and discussion under the conceptual framework.

Under Japan’s cultural construct, public/private thresholds are blurred and layered, defining a public space network which includes not only large-scale urban objects, such as railroad and commercial hubs but also small scale, hybrid and rather aweless forms of urban space, which can be of interest to the challenges of sustainable urban transition.

Adaptations in urban management and design need to consider the multi-scalar embeddedness of urban networks in local fabrics, considering public space structure and socio-cultural specificities. Limitations to growth-oriented rationale require increasingly decentralized networks and more hybrid spatial configurations in buildings, infrastructures and public space.

Tokyo represents an example of how a network-dependent metropolis, accommodates highly adaptive, inconspicuous and decentralized forms of basic service provision with an impact on the perception, use and management of public space. The main argument lies in the potential that these spatial arrangements hold as references for contemporary urban management and design in what pertains to societal challenges, low-carbon transition and network optimization.