Science (Universidade Europeia)
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How digital development leverages sustainable development
No full textThis academic article seeks to clarify the state of the literature on a very pertinent topic that is based on how digital innovation, considering emerging technologies and how they could be used in business management and marketing, could increase sustainable development. The sustainable economy, which should maintain long-term development through efficient resource management, has as allies emerging technologies such as artificial intelligence, blockchain, and the Internet of Things that can help reduce waste, reduce the carbon footprint, and automate tasks. Additionally, they could present themselves as a solution to improve aspects of digital communication between companies and their consumers in remote training, distribution chain, e-commerce, and process optimization in different sectors of activity. These advances will, on the one hand, allow the possibility of conducting a greater amount of professional training, increasing the number of qualified professionals and, on the other hand, facilitate trade exchanges, promoting the economy. Based on a systematic bibliometric review of the literature using the PRISMA framework, this study investigates how digital tools catalyze transformative changes in different sectors of activity. The results indicate that, overall, the academic articles analyzed in this literature review present studies focused on digitalization and sustainability (approximately 50%). In second place are topics related to digitalization and other topics such as: smart cities; Sustainable Development Goals; academia; the digital economy; government policies; academic education; and sustainable communication (29%). Finally, in third place, there are academic articles closely linked to digitalization and the environment, more specifically to sustainable practices and the management of natural resources (21%). The article concludes that digital development, when used wisely, serves as a crucial lever to address the world’s most pressing sustainability imperatives. Future research should emphasize interdisciplinary collaboration and adaptive governance to ensure that these digital changes produce lasting impacts for people and the planet
How Weight Loss After Bariatric Surgery Affects Sarcopenia Parameters and Diagnosis
No full textIntroduction: Obesity affects over 650 million individuals worldwide and poses a significant public health challenge. Bariatric surgery is the most effective treatment for severe obesity, resulting in substantial weight loss and improvements in obesity-related conditions. However, the weight loss achieved through bariatric surgery is often associated with a notable decline in skeletal muscle. This association suggests an elevated risk of sarcopenia among patients following surgery. The purpose of this study was to assess the effects of obesity and bariatric surgery on indicators and diagnoses related to sarcopenia before and after surgery. Methods: A total of 17 bariatric surgery patients participated in this prospective study. The parameters for diagnosing sarcopenia were established for each participant, based on the EWGSOP2 and EASO/ESPEN consensuses. All evaluations were conducted at five time points throughout this study: before surgery and at 1, 6, 12, and 18 months post-surgery. Results: In this study, 88.2% of the subjects were female, with an average BMI of 42.9 kg/m2 and a mean weight of 105.9 kg. After surgery, the average weight consistently decreased, with all differences from baseline being statistically significant (p < 0.001). Utilizing the SARC-F questionnaire for screening, the risk of sarcopenia increased post-surgery, then decreased at 12 months, ultimately reaching zero at 18 months. Muscle strength significantly decreased (p = 0.002) during the one-month post-surgery assessment, with slight variations thereafter, none of which were statistically significant. Muscle mass was normal prior to surgery but showed a significant decline post-surgery (p < 0.001). When applying the ESPEN/EASO consensus cut-off criteria for sarcopenic obesity, 35.3% of patients met the criteria preoperatively. After surgery, this figure rose to 70.6% in the first month but then decreased to 41.2% at 6 months. Conclusions: The findings reveal a distinct detrimental impact of bariatric surgery on muscle strength and mass, which are crucial indicators of sarcopenia. Additionally, this impact appears to arise very early after surgery, suggesting that the optimal timeframe for efforts to mitigate this effect may be during the prehabilitation period followed by the post-surgery timeframe
“Under Lock and Key”: Paternal BereavementFollowing Child’s Suicide, a Case Study
No full textThis article provides an in-depth exploration of the bereave-ment experience of a father following the suicide of his child,addressing a significant gap in research on paternal grief. Toour knowledge, this is the first study to qualitatively investigatethis specific experience. The study also explores the potentialoverlap between Prolonged Grief Disorder (PGD) and ComplexPost-Traumatic Stress Disorder (CPTSD) in the context of trau-matic grief. Using Worden’s Tasks of Mourning (2018) as a the-oretical framework, the study examines the absence ofnarratives reflecting acceptance of the loss and its implicationsfor understanding and navigating bereavement. We employeda single case study methodology and subsequent thematicanalysis to deepen understanding of the participant’s subjec-tive experience, prioritizing depth over generalizability. Theanalysis identified six main themes: (1) Tasks of Mourning; (2)Contextualization of the Experience; (3) Event Centrality andPersonal Identity; (4) Continuing Bonds and Social Support; (5)Risk Factors; and (6) Grief and Hope. Findings revealed symp-toms consistent with complicated grief, including remorse, con-fusion, shame, and anger, particularly in the initial five yearsfollowing the loss. The emergence of post-traumatic growth(PTG) was also observed. In conclusion, this study providesvaluable insights into the silent struggles of bereaved fathers,contributing to the discourse on this emotionally charged phe-nomenon and improving therapeutic interventions for thosenavigating this challenging path
Spinner Innovation: Integrated model for the development and prediction of innovation
No full textInnovation stands as a pivotal process for small and medium-sized enterprises (SMEs) committed to investing resources into pioneering and impactful solutions, thereby enhancing their competitive edge both domestically and internationally. Nonetheless, many SMEs overlook the true potential for innovation within their own operations and how they can effectively navigate the innovation landscape when deciding to allocate resources to it. Innovation is essential for SMEs to thrive in competitive markets, adapt to change, and achieve sustainable growth. By fostering a culture of innovation and investing in creative ideas, SMEs can unlock new opportunities, overcome challenges, and position themselves for long-term success. For numerous SMEs, innovation resembles a trial-and-error endeavor, often leading to feelings of anxiety and frustration, as resources are seemingly squandered. In response, the Spinner Innovation model aims to forecast an organization's innovation potential and provide a structured pathway to guide the innovation investment process, thus minimizing risks. The objective of this study is to introduce the Spinner Innovation model and delve into its empirical applications within various economic sectors, focusing on SMEs. This research is underpinned by an analysis of scientific publications sourced from the Scopus database
Social Workers’ Experiences and Collaboration with Public Health Professionals in a Low-Income Country: A Qualitative Study
No full textSocial workers and public health professionals are expected to collaborate in promoting health and social equity to address the complex challenges faced by societies now and in the future. This collaboration is particularly crucial in low-income countries, where social and health issues significantly affect people’s wellbeing. This study explored social workers’ perceptions of their role in society, their collaboration with public health professionals, and the importance of sustainable development in their professional practice. An exploratory qualitative study was conducted between March and June 2024, involving semi-structured interviews with twelve professional social workers from the three main geographic regions of Mozambique (north, central, and south). Content analysis was used to identify and synthesize the key categories that emerged from the data. Four main categories were identified: limited public understanding of the mission and practice of social work; a lack of collaboration with public health professionals; the integration of sustainable development goals into social work practice; and anticipated future challenges for Mozambique’s social and public health sectors. The findings highlight a perceived lack of societal awareness regarding the role of social workers and limited interprofessional collaboration, with barriers such as poor communication and a lack of mutual understanding between the two professions. Moreover, the participants recognized the need to contribute, through their daily work alongside public health professionals, to the achievement of the Sustainable Development Goals
Me, myself, and my AI: How artificial intelligence classification failures threaten consumers’ self-expression
No full textDrawing from AI classification experience and identity-based motivation frameworks, this research explores the
impact of AI classification failures on consumers’ self-identification and examines how self-expression plays a
crucial role in shaping these effects. Across five studies, this research reveals that AI classification failures can
diminish consumers’ self-identification, increasing negative outcomes such as regret, defensive neurophysiological
cues, and adverse downstream behaviors for service providers. Consistent with our identity-based account,
the findings highlight that the detrimental impact of AI classification failures is more pronounced when
consumers are motivated to utilize AI-recommended content for self-expression, and such effects are mitigated
when these motives are not salient. This study offers important theoretical and managerial implications for the
burgeoning field of service failures by shedding light on the nuanced impact of AI classification failures and their
potentially detrimental effects. Finally, it provides managerial recommendations for recovering failures in AI
classification experience
Application of 5G technologies in tourism mobile strategies
No full textThis chapter conducts a comprehensive literature analysis to investigate the revolutionary potential of fifth-generation (5G) technology in urban tourism. The report brings together studies from 2012 to 2024, focused on how 5G might improve tourism experiences and operations in smart cities. The literature study examines the evolution of mobile communication from 1G to 5G, focusing on technological advances and their consequences for the tourist sector. Integration of mobile networks, big data, 5G, virtual reality, augmented reality, artificial intelligence, cloud computing, WEB3 and IoT were presented. The study also discusses the implementation of 5G in various tourism sectors, with a special focus on smart cities. Future trends are also discussed, with forecasts that 6G will further revolutionize smart tourism by improving connection and data transmission speeds. This analysis emphasizes the need to use new technologies to provide more sustainable, efficient and personalized urban tourist experiences
The growth mindset and talent attraction: A case study of LMA.
No full textThis study investigates how the growth mindset can enhance talent attraction through a qualitative
case study of LMA Tech, an IT company operating in Portugal’s highly competitive market. Indepth
semi-structured interviews with internal leaders and external professionals were conducted
to explore the relationship between growth mindset dimensions and the organization’s Employer
Value Proposition (EVP). Amid growing challenges in attracting technological talent—exacerbated
by digital transformation and the COVID-19 pandemic employer branding strategies have become
increasingly critical. While existing literature acknowledges the relevance of a growth mindset in
organizational settings, little is known about its impact on talent attraction. The findings indicate
that growth mindset principles such as continuous learning, adaptability, and constructive feedback
can strengthen EVP and positively influence candidates’ perceptions of the employer brand.
However, the study also identifies a key challenge: assessing these intangible traits during the
recruitment process. This research contributes to bridging a gap in the literature by
reconceptualizing the growth mindset within the context of employer branding and by advocating
for organizational practices that support cultural shifts toward learning, resilience, and sustainable
engagement