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Digital practices of facility management (FM) are undergoing transformation. Several Nordic countries have ambitious hospital-building projects, driven by large public clients with long-term experience of operating complex building campuses. There is thus an opportunity for creating state-of-the-art digital FM. This paper aims to investigate the role of digital FM in new hospital projects in Scandinavia.

Based on a literature review, a framework of understanding of digital FM in hospital operation is established. Two longitudinal cases are presented and analysed, one for a greenfield hospital and the other for an extension of an existing hospital.

The literature highlights the importance of integration between technical digitalization, competences, organization and management of digital FM. The projects are in different phases and represent quite advanced preparations for digital FM. State-of-the-art computer-aided FM systems are prepared before operation. External consultants are involved, posing a dilemma of in-house/outsourced human resources in the future digital FM operation.

Two case studies provide insights, but they have limited generalizability.

The study underscores the importance of preparation of management, organization and competences for digitalization.

Documented research on building information modelling (BIM) integrations in FM is still scarce. This article adds to the few empirical studies in the area. The findings illustrate that real estate administrators investing in FM software for new hospital buildings face challenges of aligning BIM models from design and construction to the FM system.

The purpose of this paper is to adopt the uses and gratifications theory to tourism.

The purpose of this study is to investigate the relationships between internal marketing practices, employee job satisfaction, organizational commitment and turnover intention in the foodservice industry.

The target population was employees who were currently working at a restaurant in the USA. All respondents were recruited from different states for the generalization of the study results. A confirmatory factor analysis validated the measurement model, and subsequently, structural equation modeling tested the proposed model.

Three internal marketing practices – vision, development and rewards – were good indicators for predicting employee job satisfaction, and two internal marketing practices – development and rewards – in addition to job satisfaction were significant predictors for employee organizational commitment. Finally, the findings indicated that job satisfaction and affective commitment had a significant impact on lowering employee turnover intention.

In further research, more internal marketing practices – such as employee motivation, customer orientation, sharing information, employee empowerment – can be added to the model to increase employee job satisfaction and organizational commitment.

Foodservice operators should focus on internal marketing practices to have satisfied employees who, in turn, are more likely to deliver high service quality to customers.

This study has not only extended the influential scope of the internal marketing theory to organizational commitment, but has also proposed the antecedents of organizational commitment (i.e. internal marketing practices and employee job satisfaction) and clarified the relationships among them.

Technologies are dramatically reshaping various aspects of the store space, modifying design, services and usage. Accordingly, several studies tackled technology impact on each of these aspects, investigating design, service and usage singularly, but lacking a holistic viewpoint. Thus, this paper aims to identify the different dimensions of the store space (levels) and assess the impact of technology introduction on store space dimensions (levels).

The research employs a qualitative approach based on direct observations of apparel brand stores located in London between March and April 2023. Data collection followed a structured observation protocol covering store information, adopted technologies and their effects across various store space levels, i.e. consumption activities, service environment and customer experience.

Results show that the store space can be defined as the sum of different dimensions consisting of consumption activities, service environment and customer experience. Accordingly, technology introduction holistically influences each of the three store space levels as follows: (1) first, technologies redefine how activities are performed or alters the location where certain activities are consumed; (2) within the service environment, technologies replace traditional elements, fill empty spaces and enhance the atmospherics; finally, (3) customer experience is enhanced in hedonic and/or utilitarian terms due to technology adoption.

This paper defines the space as a dynamic entity, providing a deeper understanding of how the store space is produced, from a holistic point of view and the role of retail technology in this process.

This study aims to investigate the association between firm valuation and earnings quality in several European countries. Also, it examines if country-level governance and market development are important determinants of firm valuation.

Using a sample of 5,002 non-financial firms in 37 European countries over the years 2004 to 2019, the authors evaluate the research question using regression models.

The authors find a significant positive relationship between firm valuation and a multi-factor earnings quality measure based on four components (accruals, cash flows, operating efficiency and exclusions). The authors further show that stock market development is also a driver of firm value, while country-level governance is significant only in the case of a firm fixed effect model with time effects. The results are robust to alternative model specifications that control for endogeneity, sample heterogeneity and alternative proxies for firm valuation.

Policy makers and market participants could benefit from the findings, by exploiting the advantages of earnings quality in terms of high-ranking stocks whose earnings are backed by cash flows and other sustainable sources.

To the best of the authors’ knowledge, this study is the first to empirically test the relationship between earnings quality and firm value in the European setting during a period that incorporates the adoption of IFRS. This is quite interesting as it permits cross-border comparability in terms of financial reporting and provides deeper and more representative evidence.

To examine the availability and quality of clinical guidelines on perioperative diabetes care in hospital units before and after a randomised clinical trial (RCT) and international accreditation.

Interventional “before‐after” study in 51 units (38 surgical and 13 anaesthetic) in nine hospitals participating in a RCT in the greater Copenhagen area; 27 of the units also underwent international accreditation.

The proportion of units with guidelines increased from 24/51 (47 percent) units before to 38/51 (75 percent) units after the trial. Among the 27 units without guidelines before the trial, significantly more accredited units compared to non‐accredited units had a guideline after the trial (9/10 (90 percent) compared to 5/17 (29 percent). The quality of the systematic development scale and the clinical scales improved significantly after the trial in both accredited units (both p<0.001) and in non‐accredited units (both p<0.02). The improvement of the systematic development scale was significantly higher in accredited than in non‐accredited units (p<0.01).

The combination of conducting both the DIPOM Trial and international accreditation led to a significant improvement of both dissemination and quality of guidelines on perioperative diabetic care.

Labyrinth seals have been used extensively in industrial production. Better prediction of the performance of a labyrinth seal requires that these mechanisms be understood. This cannot be achieved except by investigating the flowfield details. Therefore, a total variation diminishing (TVD) finite volume scheme is applied to the Navier‐Stokes equations to obtain gas seal flowfield characteristics of axially staggered configuration in this paper. The calculation results here show the evolution process from unsteady flowfield characterization to steady flow pattern. Also, these new flowfield details may provide referable basis for understanding seal mechanisms.

This study aims to investigate diners’ self-presentation mechanism as manifested in foodstagramming. Drawing upon the social cognitive and self-presentation theories, this study develops a conceptual model to examine the relationships among food experiential value (i.e. extrinsic value and intrinsic value), self-efficacy, strategic self-presentation and self-presentation outcomes.

The authors adopt a multi-study approach with two empirical studies (Study 1: tourists, n = 254; Study 2: residents, n = 252) and use partial least squares structural equation modeling to test the proposed model.

The results consistently show significant effects of extrinsic value, intrinsic value and self-efficacy on strategic self-presentation, which subsequently evokes perceived enjoyment and behavioral intention. The impact of food experiential value on self-efficacy varies between tourists and residents. The mediating effects of self-efficacy and strategic self-presentation are also confirmed.

Restaurant managers and destination marketers should acknowledge the importance of food experience as expressive capital and recognize self-presentation as a meaningful tool that links restaurant food experience with consumers’ personal branding. Businesses should strive to create a desired experiential setting shaped by food price, restaurant service, food aesthetics and consumers’ feelings, allowing diners to translate these stimuli into self-presentational resources.

This study dives into an important, yet under-examined, phenomenon of foodstagramming. To the best of the authors’ knowledge, this study is the first to theoretically link food experience to foodstagramming behavior via a self-presentation mechanism. Findings provide important theoretical and managerial implications.

The aim of this chapter is twofold: (i) to perform a synthesis of the academic research regarding the changes of tourist consumer behavior brought about by social media; and (ii) to suggest a set of strategies for tourism businesses to address resulting challenges.

Extensive literature reviews have been executed on the motivating factors and the effects of online reviews.

This analysis of the related research identified three main topics, namely: (1) the antecedents, the factors motivating tourists to write online reviews; (2) the impact of eWOM on providers of tourism services (business perspective); and (3) the influence of online reviews on consumers’ behavior (demand perspective). This chapter focuses on the impact of online reviews on tourism businesses and suggests suitable strategies.

This study is based on a literature review and implications indicated by previous studies; hence the suggestions are indicative rather than conclusive. A need exists for empirical studies to fully validate the chapter’s suggestions.

This chapter outlines a series of adequate strategies formulated for business practitioners divided into two fields, namely managerial and marketing activities.

This study provides practical recommendations/suggestions for tourism businesses in addressing the challenges and opportunities raised within the online context.

Today’s technological advancements have had a significant impact on the construction industry. Managing and controlling complex construction projects has been made significantly easier using technological tools. One such advancement is the automatic identification of workers’ activities. This study aims to classify construction worker activities by analyzing real-time motion data collected from sensors.

In accordance with our specific goals, we utilized advanced deep-learning methodologies such as deep neural networks, convolutional neural network, long short-term memory and convolutional long short-term memory to analyze the data thoroughly. This involved experimenting with various window sizes and overlap ratios to determine the optimal combination that would result in the most accurate predictions.

Based on the analysis results, the convolutional long short-term memory (ConvLSTM) deep learning model with a window size of 4.8 s and an overlap rate of 75% was found to be the most accurate prediction model. This model correctly predicted 98.64% of the basic construction worker activities in a real construction site environment.

Previous studies have mainly been conducted in laboratory environments and have focused on basic construction activities such as lifting, moving, sawing and hammering. However, this study collected data from real workers in a real construction site environment. Various deep learning models were employed to determine the most accurate one. Additionally, several options were tested to determine the optimal window size and overlap ratio during the data segmentation phase, aiming to select the most suitable ones for preparing the data for the model.