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Taking the subordinates’ perspective, this paper aims to explore the supervisor-subordinate relationships and how daily interactions, personal ties and connections with the supervisors contribute more significantly, positively or negatively, to the subordinates’ well-being.

This exploratory study is based on the thematic analysis of data collected from two rounds of in-depth semi-structured interviews with 21 participants in a Portuguese utility company.

The subordinates’ perceptions of the nature and quality of their relationships with supervisors were found to have considerable effects on well-being. Positive effects were identified when subordinates feel emotionally supported and believe that supervisors truly care about them and are genuinely willing to listen to their concerns, but the most significant effects on the subordinates’ well-being are produced when the perceived authenticity of the supervisor allows the relationship to evolve into a state of relational closeness, and the subordinates connect with the person-as-real, the human being behind the mask who is playing the supervisory role. These findings reflect features of the cultural setting where the study was conducted.

The study provides evidence to support the argument that a better understanding of supervisor-subordinate relationships and their effects on well-being requires an integrated approach that considers the valuable contributions of different literatures and theoretical frameworks and the multiple dimensions of that relationship, including personal and non-work dimensions. This approach is particularly relevant in cultural contexts where these dimensions might play a critical role in work relations.

Tomando la perspectiva de los subordinados, el artículo explora las relaciones supervisor-subordinado y cómo las interacciones diarias, los vínculos personales y las conexiones con los supervisores contribuyen de manera más significativa, positiva o negativamente, al bienestar de los subordinados.

Este estudio exploratorio se basa en el análisis temático de los datos recopilados en dos rondas de entrevistas semiestructuradas en profundidad con veintiún participantes en una empresa de servicios públicos portuguesa.

Se encontró que las percepciones de los subordinados sobre la naturaleza y calidad de sus relaciones con los supervisores tienen efectos considerables en el bienestar. Se identificaron efectos positivos cuando los subordinados se sienten apoyados emocionalmente por los supervisores y creen que realmente se preocupan con elles y están genuinamente dispuestos a escuchar sus preocupaciones. Los efectos más significativos en el bienestar de los subordinados se producen cuando la autenticidad percibida de los supervisores permite que la relación evolucione hacia un estado de cercanía relacional, y los subordinados se conectan con la persona real, el ser humano detrás de la máscara, que es el supervisor.

Este estudio proporciona evidencia que respalda la idea de que una mejor comprensión de las relaciones supervisor-subordinado y sus efectos en el bienestar requiere un enfoque integrado que tenga en cuenta las valiosas contribuciones de diferentes literaturas y marcos teóricos y las múltiples dimensiones de esa relación, incluidas las dimensiones personales y no laborales, para dar sentido a las relaciones supervisor-subordinado en contextos culturales donde podrían desempeñar un papel fundamental.

A partir da perspectiva dos subordinados, o artigo explora as relações supervisor-subordinado e como as interações diárias, os laços pessoais e as ligações com os supervisores contribuem de forma mais significativa, positiva ou negativamente, para o bem-estar dos subordinados.

Este estudo exploratório baseia-se na aplicação da análise temática aos dados recolhidos em duas rondas de entrevistas semiestruturadas e em profundidade a vinte e um participantes, em exercício de funções em empresa portuguesa de serviços públicos.

Os dados recolhidos permitem concluir que as percepções dos subordinados sobre a natureza e a qualidade das suas relações com os supervisores têm efeitos consideráveis no bem-estar. Foram identificados efeitos positivos quando os subordinados sentem que os supervisores os apoiam emocionalmente e realmente se preocupam com os subordinados e estão genuinamente dispostos a ouvir as suas preocupações. Os efeitos mais significativos no bem-estar são obtidos quando dos subordinados percepcionam a autenticidade do supervisor, permitindo que o relacionamento evolua para um estado de proximidade relacional, e os subordinados se conectam com a pessoa real, o ser humano por detrás da máscara: o supervisor.

O estudo fornece evidência que permite sustentar o argumento segundo o qual uma melhor compreensão das relações supervisor-subordinado e dos seus efeitos no bem-estar exige uma abordagem integrada que tenha em conta as contribuições valiosas de diferentes literaturas e quadros teóricos e as múltiplas dimensões da relação supervisor-subordinado, incluindo a dimensão pessoal e não profissional, particularmente relevantes em contextos culturais em que estas podem desempenhar um papel crítico.

The purpose of this research is to establish a robust numerical framework for the calibration of macroscopic constitutive parameters, based on the analysis of polycrystalline RVEs with computational homogenisation.

This framework is composed of four building-blocks: (1) the multi-scale model, consisting of polycrystalline RVEs, where the grains are modelled with anisotropic crystal plasticity, and computational homogenisation to link the scales, (2) a set of loading cases to generate the reference responses, (3) the von Mises elasto-plastic model to be calibrated, and (4) the optimisation algorithms to solve the inverse identification problem. Several optimisation algorithms are assessed through a reference identification problem. Thereafter, different calibration strategies are tested. The accuracy of the calibrated models is evaluated by comparing their results against an FE2 model and experimental data.

In the initial tests, the LIPO optimiser performs the best. Good results accuracy is obtained with the calibrated constitutive models. The computing time needed by the FE2 simulations is 5 orders of magnitude larger, compared to the standard macroscopic simulations, demonstrating how this framework is suitable to obtain efficient micro-mechanics-informed constitutive models.

This contribution proposes a numerical framework, based on FE2 and macro-scale single element simulations, where the calibration of constitutive laws is informed by multi-scale analysis. The most efficient combination of optimisation algorithm and definition of the objective function is studied, and the robustness of the proposed approach is demonstrated by validation with both numerical and experimental data.

Health systems worldwide are hampered by disconnects between governance, management, and operations, which negatively impact on their ability to deliver efficient, effective, and safe healthcare services. This paper shows how insights from the Viable System Model (VSM) can help us to conceptualise health system disconnects impacting specialist clinical services and develop solutions to address organisational fragmentation.

A case study of a specialist clinical service was undertaken, where the VSM was used to guide semi-structured interviews and workshops with clinicians and managers and analysis of findings.

The VSM provides a coherent way to conceptualise the disconnects and identify their structural underpinnings. Three novel organisational pathologies emerged from the study.

This New Zealand-based study was undertaken during the COVID-19 pandemic and a period of major health system reform, introducing uncertainty into service provision that may have impacted stakeholders’ views.

The three novel pathologies affect how health systems define their services, their understanding of the management function, and the importance of coordination. The resulting clarity of functioning could improve service quality, staff and patient satisfaction, and the effectiveness and efficiency of healthcare service delivery.

This study contributes to the VSM literature on organisational pathologies by providing three novel pathologies for a perspective that may be useful beyond healthcare and invites consideration of health system disconnects as a coherent field of study.

In recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023.

To achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp.

The authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning.

This paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.

This conceptual paper aims to present a perspective on how to engineer sustainability through the prism of Industry 4.0 technologies and outline propositions to guide future research.

This study presents a literature review developing four research propositions, focusing on the nine leading technologies underpinning Industry 4.0 to engineer economic, environmental and social sustainability dimensions.

The authors derive benefits and challenges of Industry 4.0 technologies across all three business model elements: value creation, value delivery and value capture. The authors derive those for the economic, environmental and social dimensions of sustainability. Thereupon, we develop several propositions for future research.

The authors provide suggestions to practice how to better achieve value in all three sustainability dimensions through implementing a business model perspective, ecosystem thinking, societal demands and Data Governance and AI integration.

By linking societal aspects of Industry 4.0 technologies with environmental, and economic aspects, the authors provide several suggestions how to implement Industry 4.0. For instance, policymakers are recommended to support entire ecosystems than isolated solutions.

The paper contributes to extant literature by conceptualising how Industry 4.0 can leverage value in reaching sustainability in all three dimensions and produce broader ecosystems-wide impacts.

This study aims to identify the key attributes of esports venues as perceived by spectators. Using the stimulus-organism-response framework, it also examines how these attributes influence customer experience, satisfaction and re-attendance intentions.

This mixed-methods research comprises two main stages. In the qualitative stage (Stage 1), we conducted a literature review, interviews with live esports event attendees and observations at two esports events to identify key esports venue attributes from spectators’ perspectives. In the quantitative stage (Stage 2), we recruited 564 esports game attendees at two live events to validate a measurement scale developed from the qualitative procedures. We also examined the relationships between venue attributes and the three spectator outcomes by using structural equation modeling.

Five key perspectives of esports venue attributes emerged from the qualitative analysis: (1) stage and stage lighting, (2) Internet infrastructure, (3) visibility of display screens, (4) concourse layout and (5) seating comfort. These dimensions were validated through exploratory and confirmatory factor analyses and were found to directly influence spectator experience and satisfaction, but not re-attendance intentions.

This study provides pioneering insights into the specific esports venue attributes that drive spectator outcomes. The findings offer valuable directions for future esports research and practical strategies for esports venue management.

Airports are an essential part of the airline value chains. Artificial intelligence (AI) technologies are widely used at airports; the study aims to explore how the virtual integration competence and the perceived warmth of AI in airports increase customer service competencies and satisfy their passengers.

Based on the perspectives of digital competencies and hybrid intelligence, a continued usage intention model was analyzed using the partial least squares approach; this study used purposed sampling to collect data from those airports; participants who adopted the AI service in airports in Beijing, Taipei and Singapore who have the potential to use AI service usage experience more than three times and 384 completed questionnaires were analyzed.

AI innovations serve human tasks at airports and analytics applications as change drivers and can replace legacy procedures. The research findings help point out the perceived warmth of AI and the virtual integration competence of airports utilizing the intimacy of AI services.

AI innovations provide a service change to replace human tasks and intelligence and analytics applications at airports. AI services are a powerful tool for airports to serve their passengers efficiently; airports will collaborate with airlines to offer AI services to passengers.

Microwave curing (MC) can facilitate rapid concrete repair in cold climates without using conventional accelerated curing technologies which are environmentally unsustainable. Accelerated curing of concrete under MC can contribute to the decarbonisation of the environment and provide economies in construction in several ways such as reducing construction time, energy efficiency, lower cement content, lower carbonation risk and reducing emissions from equipment.

The paper investigates moisture loss and pore properties of six cement-based proprietary concrete repair materials subjected to MC. The impact of MC on these properties is critically important for its successful implementation in practice and current literature lacks this information. Specimens were microwave cured for 40–45 min to surface temperatures between 39.9 and 44.1 °C. The fast-setting repair material was microwave cured for 15 min to 40.7 °C. MC causes a higher water loss which shows the importance of preventing drying during MC and the following 24 h.

Portland cement-based normal density repair mortars, including materials incorporating pfa and polymer latex, benefit from the thermal effect of MC on hydration, resulting in up to 24% reduction in porosity relative to normal curing. Low density and flowing repair materials suffer an increase in porosity up to 16% due to MC. The moisture loss at the end of MC and after 24h is related to the mix water content and porosity, respectively.

The research on the application of MC for rapid repair of concrete is original. The research was funded by the European commission following a very rigorous and competitive review process which ensured its originality. Original data on the parameters of porosity and moisture loss under MC are provided for different generic cementitious repair materials which have not been studied before. Application of MC to concrete construction especially in cold climates will provide environmental, economic and energy benefits.

This project examines digital modeling strategies for existing buildings. In this context, it aims to question assumptions about the need for geometric accuracy and the efficacy of predefined ontologies. As a counterpoint to prevailing digital modeling strategies, this project proposes a digital modeling approach using a project-specific, emergent ontology.

Nishiki Market, in Kyoto, Japan, is studied as a test case. The emergent-ontology modeling process is introduced with an initial minimal set of operations including basic fold and trim operations applicable to surfaces. As the model develops iteratively, new situations are encountered for which existing rules are insufficient. In response, the model maker’s subjective judgment is invoked to introduce new operations, and ontological rules are allowed to expand.

The emergent-ontology approach, when executed on the Nishiki Market test case, enables representation of specific architectural qualities, highlighting semantic distinctions between digitally modeled elements of real-world features. The modeling approach generated project-specific knowledge, informing disciplinary understanding. Ontological emergence enabled semantic relationships to be disclosed and newly constructed.

The project proposes a novel methodology using an emergent ontology for digitally modeling existing buildings. Instead of remaining within the limitations a predefined ontology, the model maker’s subjective decisions shape the model’s ongoing development. This interpretive approach allows project-specific knowledge generation while challenging prevailing assumptions about accuracy and consistency in digital models of existing buildings.

This study social based on cognitive theory (SCT), aims to better understand how transformational leadership affects team-level knowledge sharing and absorptive ability in the construction industry. It also examines the moderating influence of the AI-based virtual assistant on the indirect relationship between transformational leadership and team innovation through knowledge sharing and absorptive ability at the team level.

This study used a simple random sample approach to gather data from several small and medium-sized construction firms in Anhui Province, China. A total of 407 respondents, including 89 site engineers and 321 team members, provided their responses on a five-point Likert scale questionnaire.

The findings showed that AI-based virtual assistants significantly moderated the direct and indirect association between transformational leadership and knowledge sharing, and subsequently with team innovation. Unexpectedly, the findings showed that AI-based virtual assistant did not moderate the direct relationship between transformational leadership and team-level absorptive capacity.

This study adds a fresh perspective to the literature on construction management by examining team innovation driven by transformational leadership through an underlying mechanism. It is unique in that it uses the team adaptation theory to investigate the understudied relationship between transformational leadership and team innovation in the construction industry.