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Facility management (FM) in healthcare is an organisational function that provides non-medical activities, ensuring operational functionality of critical health infrastructure. FM leaders are under pressure to implement the digital transformation, confronted with a highly complex and challenging operational environment. However, the current scope and understanding of the digital transformation in FM is rather limited, with a strong focus on technology. This perspective is inadequate to realise a digital transformation in healthcare organisations and requires a new framework. To ensure the practical applicability, a clearer depiction on how FM practitioners in the field, currently understand the digital transformation, is necessary.

A sequential exploratory mixed-methods design was chosen with a qualitative data collection and quantitative data analysis phase. A total of 23 semi-structured research interviews with professionals from FM in healthcare in Switzerland were carried out. Topic modeling was used to analyse, identify and cluster topics.

In total, nine distinct digital transformation topics were generated: ‘addressing future organisational and people needs’, ‘end-user-oriented processes’, ‘digitalisation management vs. digital tools’, ‘major organisational change’, ‘information exchange and work culture’, ‘digital systems’, ‘pressure’, ‘company-wide strategy’ and ‘management support and communication involving non-medical support services’. The findings indicate that FM practitioners perceive the digital transformation beyond the purely technological viewpoint, although they lack the know-how and instruments necessary to implement the digital transformation.

This study employs an innovative research design, resulting in foundational insights on how FM in healthcare perceives the digital transformation. As such, the study expands the notion on what the digital transformation means for the FM field.

The use of interviews for data collection is prevalent in qualitative accounting research. This paper examines vignettes – sketches of hypothetical scenarios – as a promising complementary way to conduct interviews in qualitative accounting research.

The paper is based on our experiences designing and using vignettes in five separate qualitative accounting studies, which collectively involve over 200 interviews with various participants. It discusses the opportunities the use of vignettes in interviews offers to qualitative accounting research, as well as the challenges associated with designing and using vignettes. The paper also reflects on fellow researchers’ varied reactions during seminars, workshops, and the journal review process.

Vignettes emerge as a productive and engaging complementary way for accounting researchers to obtain additional insights and perspectives not usually accessible in semi-structured interviews. The paper also provides practical insights into developing, using and publishing qualitative accounting studies using vignettes, contributing an additional behind-the-scenes view of using qualitative research methods.

The aim of this paper is to increase awareness of vignettes as a complement to the standard qualitative accounting interview. It provides guidance on how vignettes might be used productively for studying rare, new, emerging, complex, or multi-period real-world accounting phenomena. It also discusses how vignettes can promote transparency, honesty, and a greater level of detail in participants’ responses, as well as facilitate the involvement of lay people in accounting studies.

This paper aims to understand the underlying motivations and factors that drive millennials to embrace smartwatches as fashionable accessories, health monitoring tools and eco-friendly alternatives.

In June–July 2022, a cross-sectional study was conducted, gathering 285 complete responses through an online survey using convenience sampling. These responses were then analyzed to obtain valuable insights using structural equation modeling.

This study’s findings confirm the mediation effect of fashion innovativeness on the relationship between subjective norms and attitudes toward smartwatch usage (b = 0.034, lower limit confidence interval (LLCI) = 0.007, upper limit confidence interval (ULCI) = 0.086, p = 0.015). In addition, it highlights the mediating role of healthology in the association between subjective norms and attitudes toward using smartwatches (b = 0.062, LLCI = 0.006, ULCI = 0.151, p = 0.029).

This research has limitations in terms of sample representativeness, self-reported data, cultural and regional factors and technological advancement.

Understanding millennials’ motivations behind smartwatch usage has implications for marketers, designers and manufacturers in targeting this generation effectively. By highlighting smartwatches’ fashion-forward and health-conscious aspects, companies can appeal to millennials’ preferences and develop innovative features that align with their values.

This study provides validation for the increased level of environmental concerns among millennials, emphasizing its substantial influence on their purchasing decisions when it comes to smartwatches. Furthermore, it highlights that health-consciousness holds greater significance than fashion-forwardness as a determining factor for consumers of smartwatches.

This pioneering study explores the adoption intentions of smartwatch usage, examining it from the unique perspectives of health theology and environmental concerns. By delving into these novel dimensions, the research fills a significant gap in the existing literature. It contributes to a deeper understanding of the factors influencing millennials’ decision-making processes when embracing smartwatches.

This study aims to introduce an image-based method to determine the processing window for a given alloy system using laser powder bed fusion equipment based on achieving the desired melting mode across multiple materials for powder-free specimens. The method uses a convolutional neural network trained to classify different track morphologies across different alloy systems to select appropriate printing settings. This method is intended for the development of new alloy systems, where the powder feedstock may be unavailable, or prohibitively expensive to manufacture.

A convolutional neural network is designed from scratch to identify the 4 key melting modes that are observed in laser powder bed fusion additive manufacturing across different alloy systems. To increase the prediction accuracy and generalisation accuracy across different materials, the network is trained using a novel hybrid data set that combines fully unsupervised learning with semi-supervised learning.

This study demonstrates that our convolutional network with a novel hybrid training approach can be generalised across different materials, and k-fold validation shows that the model retains good accuracy with changing training conditions. The model can predict the processing maps for the different alloys with an accuracy of up to 96% in some cases. It is also shown that powder-free single-track experiments are a useful indicator for predicting the final print quality of a component.

The “invariant information clustering” (IIC) approach is applied to process optimisation for additive manufacturing, and a novel hybrid data set construction approach that accounts for uncertainty in the ground truth data, enables the trained convolutional model to perform across a range of different materials and most importantly, generalise to materials outside of the training data set. Compared to the traditional cross-sectioning approach, this method considers the whole length of the single track when determining the melting mode.

The present research takes a qualitative approach to examine young adult consumers’ perceptions and intentions toward non-fungible tokens (NFTs). The goal of the study is to identify consumer sub-segments of young adults based on their perceptions of/intentions toward NFTs.

This research utilized qualitative/thematic analysis.

The results revealed three sub-segments of young adults with different perceptions of NFTs. The largest group, Authenticators, perceive NFTs as luxurious digital possessions that are prestigious, have premium prices and are high quality. They are most likely to be early/late majority, but some are innovators/early adopters. The second-largest group, Pessimists, hold negative views about NFTs, seeing them as fads, silly and/or a waste of time and believing that investing in them is risky. These individuals are most likely to be laggards in terms of adoption. The smallest group, Futurists, hold forward-thinking views about NFTs. They are most likely to see themselves as innovators/early adopters, think of NFTs as the future of asset ownership, investment and digital life, and do not perceive them as overly risky.

The findings add to the scant literature on NFTs in marketing by documenting three potential sub-segments of young adult consumers for NFTs. NFT marketers should take care in effectively marketing NFTs’ value and addressing their risks to consumers as they relate to the identified consumer segments.

This paper aims to investigate how chief executive officer (CEO) responsible leadership impacts corporate social responsibility (CSR) and organization performance by considering diverse organizational climates (including ethical, service and initiative climates) as mediators and CEO founder status as a moderator.

This study analyzed survey data from 212 service organizations in China with structural equation modeling.

The results clearly established that CEO responsible leadership played a crucial role in augmenting both CSR and organization performance by shaping positive organizational climates. Notably, CEO responsible leadership significantly fostered ethical, service and initiative climates. Furthermore, an ethical climate promoted CSR and organization performance, whereas service and initiative climates specifically enhanced organization performance. Additionally, responsible CEOs with founder status exhibited a higher propensity for enhancing ethical, service and initiative climates within service organizations.

Service organizations should take measures to build CEO responsible leadership, especially for CEOs with founder status. Furthermore, service organizations should motivate employees to reach consensus on ethical conducts, superior service and proactive approach to work.

First, the findings on CEO responsible leadership’s effects on CSR and organization performance extend the research on responsible leadership outcomes. Second, this paper adds to responsible leadership literature through exploring the mediating effects of ethical, service and initiative climates. Finally, the finding on the moderating role of founder CEOs offers a novel perspective regarding the boundary condition of the effects of CEO responsible leadership.

Existing research has shown the role of social media in facilitating general protest participation. However, there is a noticeable gap in understanding the dynamics related to explicitly unlawful behaviors during protests, which have become increasingly prominent in recent times. Drawing upon the communication mediation model (O-S-O-R model), this study proposes a moderated mediation model to delineate specific mechanisms under which social media use influences individuals' support for unlawful behaviors in protests.

A survey of 1,121 Hong Kong residents was conducted in the context of the 2019 Hong Kong Anti-Extradition Law Amendment Bill Movement to test the theoretical model.

Obtaining political information on social media has a dual effect on support for unlawful behaviors in protests. On one hand, social media use increases individuals' political knowledge, which is reinforced by frequent political discussions on social media. This enhanced political knowledge tends to reduce the likelihood of supporting unlawful behaviors in protests. On the other hand, acquiring political information on social media can also generate increased anger toward politics, potentially leading to a more supportive attitude toward unlawful behaviors in protests.

This study contributes to the expanding field of research on digital activism by revealing the intricate mechanisms by which social media usage shapes support for unlawful behaviors in protests. It also expands our understanding of explicit unlawful behaviors within protests as a distinct form of political behavior.