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The energy performance gap (EPG) in building construction has been one of the major barriers to the realization of environmental and economic sustainability in the built environment. Although there have been a few studies addressing this issue, studying this topic with a special focus on the project delivery process has been almost overlooked. Hence, this study aims to address the EPG in building construction through the lens of collaborative and life cycle-based project delivery.

In order to realize the objective of this study, the development of a theoretical framework based on the literature review was followed by a qualitative study in which 21 semi-structured interviews were conducted with Finnish project professionals representing clients, design/planning experts, constructors and building operation/maintenance experts to explore their views on the topic under study.

The findings reveal the project delivery-related causes of EPG in building construction. Moreover, the obtained results present a collaborative and life cycle-based delivery model that integrates project and product (i.e. building) life cycles, and it is compatible with all types of contractual frameworks in building construction projects.

Although the findings of this study significantly contribute to theory and practice in the field of collaborative and sustainable construction project delivery, it is acknowledged that these findings are based on Finnish professionals’ input, and expanding this research to other regions is a potential area for further studies. Moreover, the developed model, although validated in Finland, needs to be tested in a broader context as well to gain wider generalizability.

The obtained results reveal the significance and impact of collaborative and life cycle-based project development and delivery on the realization of environmentally sustainable building construction.

This paper aims to describe the influence of maleinized linseed oil (MLO), when used as a lubricant, on the thermal and rheological properties of PLA/MWCNTs (polylactic acid/multi-walled carbon nanotubes) and PLA/HNT (halloysite nanotubes) nanocomposites, as a reference for application in 3D printing processes.

Nanocomposites were obtained by melting in a twin-screw extruder, mixing PLA with MWCNTs and HNTs in different percentages of 0.5, 0.75 and 1 Wt.% for subsequent mixing by the same process with 5 phr MLO, for application in additive manufacturing, as analyzed by means of differential scanning calorimetry (DSC), capillary rheometry, melt flow rate (MFL) and field emission scanning electron microscopy (FESEM).

The results obtained for thermal characterization by using DSC indicate the non-variation of glass transition temperature Tg = 62 ± 2°C and a melting temperature (Tm) around 170°C. Crystallization temperature dropped by approximately 12°C, which should be kept in mind during the transformation processes. The values obtained by capillary rheometry indicate that the material’s viscosity is reduced by the influence of the MLO plasticizer’s lubricant effect on the PLA’s molecular structure. The melt flow index values confirm a rise of approximately 46% in the flow index and back up the capillary rheometry results. The values obtained were as follows: PLA/0.5 Wt.% MWCNT/MLO 5 phr 54.07, PLA/0.75 Wt.% MWCNT/MLO 5 phr 53.46, PLA/1 Wt.% MWCNT/MLO 5 phr 51.84y PLA/0.5 Wt.% HNT/MLO 5 phr 61.8, PLA/0.75 Wt.% HNT/MLO 5 phr 68.3 and PLA/1 Wt.% HNT/MLO 5 phr 71.2 g/10 min. Apart from the nanocharge distribution, the information obtained from the FESEM shows the existence of a cluster, which could have been avoided by more energetic stirring during the nanocompound manufacturing process.

This paper presents an analysis of the insertion of plasticizer in nanocomposites for the application in additive manufacturing processes in fusion deposition modelling (FDM) system.

This is a novel original research work.

The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.

As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.

This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.

This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.

The evolution of technologies has unleashed a wealth of challenges by generating massive amount of data. Recently, biological data has increased exponentially, which has introduced several computational challenges. DNA short read alignment is an important problem in bioinformatics. The exponential growth in the number of short reads has increased the need for an ideal platform to accelerate the alignment process. Apache Spark is a cluster-computing framework that involves data parallelism and fault tolerance. In this article, we proposed a Spark-based algorithm to accelerate DNA short reads alignment problem, and it is called Spark-DNAligning. Spark-DNAligning exploits Apache Spark ’s performance optimizations such as broadcast variable, join after partitioning, caching, and in-memory computations. Spark-DNAligning is evaluated in term of performance by comparing it with SparkBWA tool and a MapReduce based algorithm called CloudBurst. All the experiments are conducted on Amazon Web Services (AWS). Results demonstrate that Spark-DNAligning outperforms both tools by providing a speedup in the range of 101–702 in aligning gigabytes of short reads to the human genome. Empirical evaluation reveals that Apache Spark offers promising solutions to DNA short reads alignment problem.

This chapter focuses on the micro-contexts of cross-innovation between digital audiovisual media and the health care sector by examining two cases, both start-ups working on virtual reality-assisted rehabilitation solutions. Through a discussion of the two cases, this chapter aims to elucidate the broader dynamics of digital health care as experienced by innovators seeking to contribute to it. It addresses the challenges faced by innovators, including the lengthy and costly nature of medical licensing, the inflexibility and fragmentation of pertinent regulations, and health care institutions’ and insurers’ resistance to change. It also highlights the importance of networking and the emergence of digital health care as a distinct and increasingly visible epistemic community, while touching upon the tensions between the public and the private sectors as a target market for innovators.

The purpose of this paper is to increase understanding about how to improve customer value and to make mobile banking services a profitable business for banks and other financial actors. The study explores the user experiences and related value of a new mobile banking service.

The study is implemented as a case study that is phenomenological in nature and linked to an interpretive consumer study. Empirical data were collected through 14 semi-structured theme interviews and a diary method. The data were analysed by using a content analysis method.

The findings illustrate the importance of customer centricity in the mobile banking context by identifying customer experience and related value in a new mobile banking service. The study extends current understanding of customer experience as a complex and multifaceted phenomenon by including value related to process, the use situation and the outcome, and it identifies temporality as influencing and connecting all these aspects. The study identifies several aspects that help us to understand what creates value for the customer while using mobile banking services.

As one limitation, this study was conducted in a developed country and the findings could be different in an emerging market context. Another limitation relates to the data, as the interviewees’ age range is quite limited, ranging between 20 and 40 years. However, they represent the consumers who normally use mobile services well and thus provide reliable data about their use experiences.

As the banking industry is currently experiencing rapid and widespread changes and customers become more demanding, it is crucial for banks and other mobile service providers to understand the everyday lives of their customers and to integrate their future services into the customers’ value creation processes as smoothly and inseparably as possible. The findings of this study will help banks and other financial institutions to develop their strategies and operations in regard to customer-oriented thinking, which will further help them to create long-term, profitable customer relationships and improve future viability.

The study contributes to bank marketing research and extends previous research on customer-centred service marketing by providing a framework that identifies the value related to customer experience in a new mobile banking service. It explores the experiences of actual mobile banking service customers’ and the related value, and thus provides original implications for both theory and practice.

This paper aims to investigate cross-gender effects of gender stereotypes in advertising. More specifically, it proposes that the negative effects found in studies of women’s reactions to stereotyped female portrayals should hold across gender portrayal and target audience gender.

In two experimental studies, the effects of stereotyped portrayals (vs non-stereotyped portrayals) across gender are compared.

The results show that advertising portrayals of women and men have a presumed negative influence on others, leading to higher levels of ad reactance, which has a negative impact on brand-related effects across model and participant gender, and for gender stereotypes in terms of physical characteristics and roles.

Whereas previous studies have focused on reactions of women to female stereotypes, the current paper suggests that women and men alike react negatively to stereotyped portrayals of other genders.

The results indicate that marketers can benefit from adapting a more mindful approach to the portrayals of gender used in advertising.

The addition of a cross-gender perspective to the literature on gender stereotypes in advertising is a key contribution to this literature.

This paper aims to discuss how transnational universities create negative and positive social impacts on their host communities and what this means for campus sustainability and the expectation that universities contribute to sustainable development and to their local communities.

Using mixed methods, a multiple case study approach and qualitative meta-analysis, this study considers six transnational university campuses in China in terms of their relationship with local communities.

Because of the good reputation of universities generally, local residents tended to accord a social licence to operate (i.e. approval) to new university campuses. However, universities generally do not manage their social impacts, as well as many other industries and generally fail to consider the corporate social responsibility issues and the environmental, social and governance aspects of their activities. To improve their social licence to operate and grow and to meet expectations around “university social responsibility”, campus developments should observe key international principles and human rights standards: full disclosure of information; effective community engagement; appropriate resettlement and livelihood restoration; effective harm reduction procedures; provision of local benefits (benefit sharing); monitoring and adaptive management and implement a grievance redress mechanism.

This paper encourages broader thinking about sustainability in a higher education context and about what university social responsibility entails. Specifically, this study argues that the relationship between universities and their host communities also needs to be considered, especially during campus construction.

The entrepreneurial ecosystem (EE) literature is dominated by conceptual studies with insufficient theoretical foundations and empirical evidence on the micro-level. This study aims to explore the largely overlooked question of what the drivers that motivate small and medium-sized enterprises (SMEs) to participate in an ecosystem are.

The study adopts a qualitative exploratory approach. The empirical data consists of 19 semi-structured interviews with top management of SMEs in the health tech ecosystem in Finland. The data were analyzed using a thematic content analysis.

This study reveals a typology of drivers that motivate SMEs to participate in an ecosystem. These include social drivers (networking and cooperation and communication and knowledge sharing), resource drivers (access to resources, formal and informal support and market access) and cognitive drivers (shared goals and common values).

The study contributes to the EE research by highlighting the drivers that motivate health tech SMEs to become members of the local ecosystem. It suggests that managers and entrepreneurs need to be aware of the factors related to social, resource and cognitive drivers to ensure the future success of their business.

The study draws evidence from a micro-level perspective which enriches the understanding of the EE phenomenon. It also explores an increasingly relevant but under-researched field, the health tech ecosystem.