Abstract
The thermal SPA sector is currently experiencing a stable growth trend, which according to the World Tourism Organization (WTO) is expected to continue over the upcoming years. In Portugal, the sector has a very significant profile, with the existence of almost a hundred SPAs and thermal SPAs that generate a business volume (direct and indirect) of over 30 M€ per year. Although the beginning of the process of digital transformation of the sector is already visible, there is no holistic view of the sector which means that the currently existing information systems (IS) do not present a useful response to the needs faced by the sector. Therefore, an architecture proposal was conceived and described for an IS that provides a useful, efficient, and agile response to the needs of the entire thermalism sector and its stakeholders. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Abstract
This study explores asset management performance of Portuguese water supply companies operating in the bulk market. The focus of the analysis are the managerial practices and the condition of infrastructures. This assessment is based on the information conveyed by the indicators collected by the Portuguese water and waste services' regulator authority (ERSAR) between 2016 and 2020. The main contribution of this research is to propose innovative methods to enhance the knowledge on asset management practices in the water sector. Two Benefit-of-the-Doubt (BoD) Composite Indicators are developed to highlight different aspects of asset management approaches. The first reflects organisations' performance in maintaining their infrastructures at acceptable operational levels, and the other reveals their maturity in asset management practices. Robust and conditional approaches for estimating the BoD indicators are applied, allowing to obtain results that account for the effect of contextual variables on companies' performance. Additionally, the performance of the companies is analysed over a 5-year period. The results show that there is significant room for improvement given the indicators' values estimated in the benchmarking analysis. The type of management systems and areas of intervention (urban, semi-urban or rural) are factors that present significant impact in asset management performance. The analysis of trends in the evolution of performance over time revealed improvements both in the companies' managerial practices and operational results.

Abstract
In the current technological scenario of artificial intelligence growth, especially using machine learning, large datasets are necessary. Recommender systems appear with increasing frequency with different techniques for information filtering. Few large wine datasets are available for use with wine recommender systems. This work presents X-Wines, a new and consistent wine dataset containing 100,000 instances and 21 million real evaluations carried out by users. Data were collected on the open Web in 2022 and pre-processed for wider free use. They refer to the scale 1-5 ratings carried out over a period of 10 years (2012-2021) for wines produced in 62 different countries. A demonstration of some applications using X-Wines in the scope of recommender systems with deep learning algorithms is also presented.

Abstract
Purpose Eco-innovation has been identified as a source of gaining a competitive advantage on a global scale. To build upon that, this study aims to deepen the understanding of eco-innovation in the context of small- and medium-sized enterprises (SMEs) and investigates the impact of having a clear eco-innovation strategy on a company's sustainability and performance. Design/methodology/approach A sample of 249 SMEs located in Portugal and the UK participated and structural equation modelling (SEM) was applied to explore the relationship among the constructs. Findings The findings reveal that both internal and external factors influence the design of an eco-innovation strategy. However, the relevance of external factors seemed to be more significant for Portuguese SMEs. This study concludes that product/process eco-innovations and green innovation systems are determinants for sustainable performance in SMEs. In contrast, the environmental technologies and organisational eco-innovation dimensions are not determinants. This is observed both in Portuguese and UK SMEs. Originality/value Most studies in the field tend to explore the role of eco-innovation in large organisations. This study takes a different approach by exploring its impacts on the sustainable business performance of SMEs. Furthermore, it combines data from two countries, which constitutes a strength and gives the opportunity to explore this phenomenon empirically.

Abstract
This article investigates the influence of digital influencers on healthy food purchase intention within the context of Instagram. The research model is guided by the theory of source credibility and the elaboration likelihood model. A quantitative approach was employed, and data were collected through an online survey from Instagram users in Portugal (n = 221). A set of ten hypotheses was tested using structural equation modeling (SPSS-AMOS). The findings corroborated that purchase intention of healthy foods is positively influenced by digital influencer perceived credibility, involvement with healthy foods, and attitude toward advertising on Instagram. The findings also confirmed that involvement with healthy foods and with Instagram affect advertising avoidance behavior, and that these three constructs affect attitude toward advertising on Instagram. However, the expected relationship between attitude toward advertising and digital influencer credibility was not confirmed. The study contributes to the literature on influencer marketing, specifically in the context of healthy food, and it provides valuable insights for social media marketers and brand managers interested in adopting influencer marketing to leverage their communication effectiveness.

Abstract