Purpose – This study aims to examine factors that determine the adoption of additive manufacturing by small- andmedium-sized industries. It provides insights with regard to benefits, challenges and business factors that influencesmall- and medium-sized industries when adopting this technology. The study also aims to expand the domain ofadditive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.Design/methodology/approach – Using data collected from 175 small- and medium-sized industries,the study has examined through Mann–Whitney test to understand the difference between owners and designengineers on additive manufacturing technology adoption in small- and medium-sized companies.Findings – This study suggests contribution to academic discussion by providing associated factors that havesignificant impact on the adoption of additive manufacturing technology. Related advantages of additivemanufacturing are reduction in inventory cost, lowering the wastage in production and customization ofproducts. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metalcomponents have a negative impact on the adoption of this technology in small- and medium-sized industries.Research limitations/implications – Because of the chosen research approach, the research resultsmay lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further inthe field of challenges and growth in other areas of application of additive manufacturing, for instance,medical sciences, fabric and aerospace.Practical implications – The study provides important implications that are of interest for both researchand practitioners, related to technology management in small- and medium-sized industries, e.g. foundry andmachining industries. Social implications – This work/study fulfills an identified need of the small- and medium-sizedcompanies in adopting new technologies and contribute to their growth by understanding the need to acceptand implement technology.Originality/value – This paper fulfills an identified need to study how small- and medium-scalecompanies accept new technologies and factors associated with implementation in the manufacturing processof the organization.

Purpose – The purpose of this paper is to identify the factors affecting user acceptance for NFC mobilewallets in both Korean and US markets.Design/methodology/approach – The proposed model extends the UTAUT2 model with newconstructs of credibility (CR) and service smartness (SS). This study was analyzed using partial least squarestructural equation modeling on data collected from 701 college students between the ages of 18 and 29.Findings – The results of this study demonstrate that performance expectancy (PE), effort expectancy(EE), CR, SS and habit (HB) have strong positive relationships with a user’s behavioral intention to useNFC mobile wallets. Comparing the results of the USA and South Korea, there are different resultsregarding PE and CR.Research limitations/implications – This study shows that all factors except social influence (SI)have significant positive relationships with the intention to adopt NFC mobile wallets: Among theoriginal UTUAT2 factors, PE, EE and HB are important determinants of NFC mobile wallet adoptionand the new constructs, CR and SS, are significant determinants that influence BI. However, the targetrespondents are limited to college students of South Korea and the USA Thus, caution should be usedwhen applying the results of this study towards less ICT developed countries and towards different agegroups.Practical implications – This study provides multiple practical contributions. First, this studyemphasizes HB as the strongest factor for adopting NFC mobile wallets in both South Korea and the USASecond, this study also highlights the importance of SS. Third, this study reveals that SI is not associated withthe adoption of NFC mobile wallets. Fourth, nationality differences between the USA and South Koreaaccount for the differences in consumer behaviors.Originality/value – This study has two main contributions: First, this study introduces a modifiedUTAUT2 model with two new variables (CR and SS) useful for NFC mobile wallets. Second, this studycompares the results of partial least square structured equation models (PLS-SEM) of the two nationalitygroups, South Korea and the USA

Com a finalidade de avaliar o impacto da Televisão Digital Terrestre (TDT) no desempenho individual foram revistos os fundamentos teóricos da Theory of Reasoned Action (TRA), do Technology Acceptance Model (TAM), da Theory of Planned Behavior (TPB) e do Model of Adoption of Technology in Household ( MATH), com base nos quais se construiu um modelo estrutural que permitiu testar as hipóteses colocadas sobre a relação entre a " atitude", os "impactos esperados da TDT" e os vários aspectos que caracterizam a oferta desta nova tecnologia. Com essa finalidade utilizou-se o conceito de " crenças com significado" proveniente da TRA, a perspectiva da multi-dimensionalidade da " atitude" introduzida pelo MATH inspirando-se na TPB decomposta, e o que diversos autores escreveram acerca da oferta potencial que aTDT coloca à disposição do mercado (telespectadores ou consumidores). Com base na literatura revista, identificaram-se vários aspectos potencialmente relevantes quanto à oferta de serviços da TDT: a oferta de mais canais com melhor som e imagem, o correio electrónico, o comércio electrónico ( t- shopping), a formação à distância ( t-learning), a assistência médica à distância ( t- medicine), o vídeo a pedido ( VoD), a utilização do gravador pessoal de vídeo (PVR), o acesso à " internet" e a interactividade. Tendo em conta o MATH, estes aspectos foram analisados considerando três dimensões para medir o impacto esperado pelos indivíduos: a utilitária, a hedónica ou de entretenimento, e a social. Construiu-se um inquérito, administrado a 71 indivíduos, acerca da relevância que a oferta potencial da TDT ( contemplada no conjunto de serviços identificados) poderia vir a assumir no dia a dia dos inquiridos. Com o ajustamento do modelo estrutural às respostas obtidas, verificou-se que o impacto da TDT no desempenho individualtem muito pouco relevo no caso da oferta de mais canais, sendo de maior importância a oferta de " t- medicine", " t-learning" e " tshopping", e de importância intermédia a oferta de VoD, a utilização do PVR e o correio electrónico.

The presented research seeks to deepen the intersection between augmented reality (AR) and consumer behaviour in a retail setting. In an attempt to better understand these concepts, a comprehensive literature review was conducted on customer journey, augmented reality (respective types and user experience), case studies in retail and marketing strategies. Thus, an experimental case study was designed with the objective to bring an AR experience, created on Adobe Aero, to the customers of a historical café in Lisbon, named ‘A Brasileira’. Considering that there is still a lack of comprehensive understanding of consumer behaviour towards AR in retail, we presented a conceptual framework which intended to examine how consumer behaviour determinants, such as social motivation, hedonic motivation, utilitarian motivation, mediated by performance expectancy, effort expectancy and emotions, influenced AR acceptance and purchase intention. Data were collected from 102 respondents via a questionnaire after an in situ visit to the café. Subsequently, the data was analysed using path analysis in Jamovi software. The findings revealed significant positive indirect effects of social motivation and utilitarian motivation on the AR use acceptance and purchase intention through performance expectancy and emotions. The study concludes that performance expectancy and emotions are important mediators in AR’s substantial potential to improve customer journeys in retail.

The upsurge of the Covid-19 pandemic and the consequent lockdown led to school closure globally. Across the globe, students have been away from schools and their teachers. To cope up with this educational emergency, in Portugal all levels of education suspended face-to-face classes and were replaced by online activities. Within this context, the teacher involved in this study sought to adapt the activities and teaching materials to the exclusive use of technology and promoted asynchronous tasks, which could be developed independently and in an autonomous way by the students. In order to understand students´ perspectives on the transition to emergency remote teaching, a quantitative survey was conducted. The participants in the study are undergraduate students from a Portuguese Higher Education institution attending the curricular unit of Public Relations in Tourism. The analysis of the students’ responses to the questionnaire applied highlighted the main positive and negative aspects experienced, bringing contributions to a discussion on factors that determine the success of remote education.

While Artificial Intelligence (AI) has the potential to amplify economic productivity, and reduce expenses, it concurrently triggers investigations into the socially acceptable boundaries of its implementation. This study aims to promote a deeper comprehension of this issue by elucidating a better comprehension of actual AI usage for the professional proposes, the perceptions, the main risks, and the expectations for future usage on the lens of the professional users. The research commences with a descriptive and literature-driven exploration. Subsequently, it the foundational phase conducts an exploratory investigation via semi-structured interviews to managers and analysts who utilizes AI for professional purposes. Differentiation in usage was observed based on each participant's specific needs, ranging from text improvement to decision-making and programming. This study revealed patterns of usage, such as: perceptions, expectations, evaluations of AI's potential, as well as associated risks and concerns

Wearable technologies have emerged as promising tools for supporting Occupational Safety and Health through continuous and multimodal monitoring of physiological, biomechanical, and environmental risk factors. However, evidence regarding their real-world effectiveness and implementation remains fragmented. This study presents a systematic literature review conducted in accordance with PRISMA 2020 guidelines, synthesizing evidence from 60 studies addressing wearable-based monitoring, assessment, and intervention in occupational contexts. The review examines the types of technologies applied, the risks and functions addressed, the evidence on effectiveness, the evaluation metrics used, and the main barriers affecting implementation. The findings show that wearable technologies are mainly applied to ergonomic, physiological, environmental, and critical-event risks, using devices such as inertial sensors, biosensors, smart personal protective equipment, and exoskeletons. While the evidence indicates strong potential for real-time monitoring, risk detection, and data-informed decision-making, most studies rely on controlled or short-term evaluations, and consistent evidence of sustained accident reduction remains limited. The results also highlight technical, organizational, ethical, and human-related barriers, including usability, interoperability, privacy concerns, worker acceptance, and data governance. Based on this synthesis, a conceptual human-centered implementation model is proposed to support responsible and context-sensitive adoption.

Although implementing technologies is a continuous practice observed in organizations, many need help to achieve successful implementations and recognize its impact on their operations and outcomes. Therefore, this review paper aims to present the critical success factors that organizations consider when implementing technology in the Talent Management field. A comprehensive understanding of the technological implementation phenomenon requires adopting a strategic perspective. Consequently, this literature review centres on three clusters: challenges organizations are addressing (Challenges), the technological capabilities and the implementation/adoption process (Technology), and the expected impact (Impact). Findings indicate that a central area of research is the integration of technology in recruitment and, particularly, in the context of Small and Medium Enterprises. Digital Transformation, the Industrial Revolution, and a more diverse workforce are challenges that organizations face. Organizations aim to streamline Human Resources Management (HRM) practices, prioritizing data-driven decisions.

The speed and scale of technological change are raising concerns about the extent to which new technologies will radically transform workplaces. Com-petition for the best talent is being intensified, and talent management requires new approaches and innovative strategies for developing talent based on corpo-rate culture and its unique properties. By implementing and adopting technology in Human Resources Management (HRM), organizations create an employee lifecycle that spans from the initial Hiring Process to encompassing areas such as Performance Management, Learning and Development until the Offboarding, shaping a Talent Management journey. Despite implementing technologies, a continuous practice observed in numerous organizations, there are challenges. The HRM technological market has become massive, and concerns arise about adopting these technologies' costs, practicality, and purpose. Because of that, de-signing strategies for implementing technologies in HRM, specifically in talent management, is hard to overview. In this context, this document aims to present the need for developing a framework that aggregates the implementation process of technologies supporting talent management utilizing Design Science Research (DSR). The holistic perspective we propose aggregates understanding of business challenges and how they relate to the technology selection, technological capa-bilities and implementation process, and expected metrics and impact.