This contribution explores the potential of lead user research for early-stage designing for intelligent ecosystems through a literature review and a single case study concerning a lead user research initiative on blood pressure monitoring. The results suggest advantages of executing lead user research in early-stage designing for intelligent ecosystems from the points of view envisioning broad initial ecosystem boundaries, developing first intelligence components, and overcoming research challenges related to technical issues.

Providing the correct destination at the end of the product's use phase is essential for value recovery and to reduce the environmental impact at this lifecycle stage. To understand the e-waste recycling behavior among users, this article aims to identify the most common destinations given to smartphones when they are no longer used. A systematic literature review was carried out, and 13 studies were selected for a meta-analysis. The variable is the selection of the most common destinations for e-waste: reuse and recycling (recovered value), storage and informal collection (missed value), and household waste (destroyed value). The results present a summarized measure with the combined proportion of the studies for each category. Studies were weighted by the precision of confidence interval estimates presented in Forest Plots. The main results point out common problems and demonstrate how the strategies and policies adopted in each country can influence the chosen methods of disposal. These specificities require unique strategies to deal with local problems. As a secondary contribution, this study proposes guidelines to reduce e-waste generation and to create awareness and infrastructure to increase value recovery.

Energy consumed in buildings is a main contributor to CO2 emissions, there is therefore a need to improve the energy performance of buildings, particularly commercial buildings whereby building service systems are often substantially over-designed due to the application of excess margins during the design process.

The cooling system of an NHS Hospital was studied and modelled in order to identify if the system was overdesigned, and to quantify the oversizing impact on the system operational and embodied carbon footprints. Looking at the operational energy use and environmental performance of the current system as well as an alternative optimised system through appropriate modelling and calculation, the case study results indicate significant environmental impacts are caused by the oversizing of cooling system.

The study also established that it is currently more difficult to obtain an estimate of the embodied carbon footprint of building service systems. It is therefore the responsibility of the machine builders to provide information and data relating to the embodied carbon of their products, which in the longer term, this is likely to become a standard industry requirement.

As the demands for new complex products/services increase, leading to strict constraints on budget and time-to-market, it is hard to learn from experience and improve practice. Improvement can be exercised in all aspects contributing to project management: the skill set of project personnel, the project structure, and the development process. People are the key asset of the project. Identifying the key participants in a project whose role is influential is important for improving the project's success. These people can receive support, remove their burdens, make sure their communication channels work well, etc. This paper offers a multilayer network-based method to examine an actor's influence in a project while combining two additional organizational key aspects: products and processes. Considering these three aspects together allows for a more informed evaluation of the actors' influence on the project. Using the insight from graph theory, we gain indicators related to each network actor. The influence of the actors in a multidimensional network makes it possible to present a clearer picture to decision-makers in the organization to make better decisions related to increasing the effectiveness of the development project.

Increasing complexity of products and design processes leads to intensive collaboration of different stakeholders in technical product development. This causes a demand for suitable methods of collaboration across department interfaces, as between design and simulation. The paper investigates typical barriers of collaboration at this interface and measures to overcome them. Methods of complexity management form links based on literature and empirical data from online surveys and interview studies. The framework uses a set of structural metrics to analyse collaboration networks systematically.

How can we design and engineer research that leads to the development and effective implementation of complex healthcare interventions? We advocate for a systems design-based approach when initiating clinical research to anticipate the proposition of complex interventions. Using cognitive care as an example, we investigate how hybrid design-inspired methodologies can promote organisational effectiveness and how strong clinical evidence can support successful conceptualisation and uptake of novel interventions into routine clinical practice.

The increasing availability of smart products creates a more pronounced need for designers to prototype and communicate interactive and environmental qualities of product during their design process. This paper explores which elements of User journey, Storyboards and Wireframes contribute to communicating these qualities, and how they might integrate with sketching. Results show depictions of user and temporal elements alongside low fidelity sketches are deemed most important. Our findings form the basis to propose and subsequently test combined prototyping approaches in future research.

This study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.

The availability of digital data in the fourth industrial revolution brings different trends with new opportunities and challenges for the engineering design community. As an opportunity, these trends would impact engineering design. However, the challenge is finding applications for these trends in engineering design. Crowdsourcing is one of the trends inspired by digital data. It is outsourcing an individually performed task to be mass-performed. This paper explores the application of crowdsourcing in identifying engineering design problems. Identifying an engineering design problem is an aspect of engineering design considered challenging but necessary for inventions. Secondary data from 63 invention-related cases and an interview with a renowned UK inventor are presented. The data contains scenarios on how the engineering design problems solved to qualify for a UK patent grant or application are identified. Lessons from the case studies are presented and discussed, especially regarding crowdsourcing engineering design problems. These seem to be promising ways of supporting the identification of new engineering design problems with inventive benefits once solved.

Healthcare services have evolved with advances in science, technology and societal needs. Despite being around for two decades, 'X-ray at Home' has seen limited adoption. Understanding its enablers and disablers can lead to insights to develop an accessible healthcare service ecosystem. Healthcare organisations have adopted design thinking to develop new products but healthcare service design is still in its introductory phase. This qualitative study describes the current state of home X-ray services in Mumbai and proposes touchpoints for raising awareness, acceptance and patient experience.

To transfer methods from science to industrial application is an important task of engineering design researchers. However, the way in which this is done leaves still room for improvement. A look beyond the horizon into the intra-industrial transfer of methods can therefore be helpful. Based on general requirements and success factors as well as successful intra-industry transfer examples, this paper proposes the P4I process for the transfer of methods from academy to industry.

As time-to-market is getting shorter, customer needs have to be identified as early as possible in product development. Correctly applied, corporate foresight can give a glimpse into the future to anticipate such needs and thus gain a competitive advantage. A support tool to choose the appropriate method of foresight is not available yet. Thus, a literature study on foresight methods in industry is performed and a novel decision support tool is proposed which avoids high entrepreneurial risks. Based on the findings, potentials for future work are identified for different types of methods.

Flexibility and changeability are crucial when it comes to the design of embedded automotive architectures. However, flexibility and changeability are concepts rooted in the overall product and its objectives, while architectural design decisions may affect local subsystems as well as the overall system. Axiomatic design is applied to bridge this gap: The architecture is decomposed into its entities and changeability is described through the design's information content. Five domains of actions to foster changeability are identified and generic action schemes are derived.

Maturity assessments of technology is a crucial process to identify and acquire compatible technologies for a system’s development. However, being a complex and highly subjective process, the Government Accountability Office (GAO) has reported cost overruns and schedule slippages through the years. This study provides a unique Weighted Technology Readiness Level (WTRL) framework which utilizes cardinal factors to ascertain the maturity, schedule and trend of NASA’s 7 Technologies based on their maturity time. The framework utilizes MCDM methods to determine the cardinal complexity of each TRL. It allows the assimilation of other cardinal factors using a simple, open structure to track the overall technology maturity and readiness. Furthermore, this study highlights the importance of tailored TRL frameworks to determine the accurate cardinal coefficient of the said technology and the inferences derived otherwise. It eliminates several limitations of previous frameworks and compares against their performance using a verified statistical representation of processed data.

Mobile health, or mHealth, solutions offer great potential in the area of self-monitoring of chronic conditions, where most of the day-to-day management of the condition is done at home by the patient or their caregivers. Narcolepsy is a chronic sleep condition caused by an orexin deficiency in the brain resulting in its inability to regulate sleep cycles, causing poor quality sleep during the day and problems with wakefulness during the day. This paper set out to investigate whether Habitual, an app for tracking symptoms, daily habits and medication adherence for people with narcolepsy could increase their sense of empowerment. Ten participants were asked to test the app during a period of 30 days, after which they were asked to answer a survey to investigate whether their perception of their empowerment towards the management of narcolepsy had changed. Although using the app for only 30 days provides a very limited understanding of the impact of Habitual, this study shows positive indication for future mHealth solutions for the management of narcolepsy. Future studies should test the openness to using an app for the management of narcolepsy with a wider cohort.

With complex technology-intense industries follows an ever-increasing need for rapid innovation processes. Yet, innovation speed and the time from idea to product realization can vary and be unpredictable.

Design Thinking (DT) is suggested as a key driver to impact the speed of product innovation within product development projects. To understand and aid the road from early ideas and concepts to value- added products, this paper will provide a literature study on how Design Thinking can facilitate improved product innovation performance through innovation speed.

The paper seeks to develop an overview of new insight on DT applicability for improved product innovation capability. This is done by identifying components that comprise DT´s innovative ability and appropriateness to product development contexts beyond the early creative phases of product development.

As DT emphasize on visualization and re-framing problems, it contributes to enhanced clarity, meaning and confidence in ideas and decisions. DT in this way may impact strategy formulation and speed up complex innovation processes by pre-experiencing future situations.

For some years now, a part of the population in Europe has been willing to moderate its consumption and to enter into a sustainable waste reduction perspective. Repair is an important lever in the sustainability of products. It requires appropriate approaches depending on the actors involved, whether they are public, private or at the consumer level. Repair cafés are thus born of local citizen initiatives to act on the life cycle of everyday consumer products. We conducted a qualitative study based on a series of semi-structured interviews with the actors of repair cafés in the Grenoble area (France) and carried out an analysis of qualitative data. This analysis, according to three pre-defined fields, technology-competencies-motivations, reveals the perception of the actors on the current obstacles and opportunities for the development of the amateur repair practice. The results obtained support studies already carried out on the subject and show that design is still failing to match amateur reparation requirements. Besides, the social role of these third places takes precedence over the ecological and economic dimension of repair.

User Experience is becoming an increasing centre of interest both in the academic and industrial worlds. Design agencies are no strangers to this phenomenon and are willing to shift from product-oriented design toward user experience design. However, their design process is often loose which may explain a lack of final UX quality or proof of quality, and does not allow to diagnose misuses and improvement opportunities due to a lack of UX formulation and traceability. We propose in this paper to retrospectively represent a design project and its specified, designed and validated UX, in the perspective to conduct a posterior collective diagnosis of UX design in a design agency. The proposed representation model is used to analyse one design project. Results show that only a few UX traces are found in the presented project, and that many dimensions are not considered (like perceptions or affects). Finally, we discuss the next steps of this tool's deployment to create a shared mental model of the design process among the design players.

Organizational competences are one of the main assets of companies. Models of these competences would allow for systematic reasoning for exploring technological innovations, enabled by combining and transposing organizational competences. Today, the literature linking organizational competencies to engineering design and systems engineering remains limited. In particular, a generic modelling approach for organizational competencies for engineering design and systems engineering seems to be missing, although first frameworks have been proposed for specific purposes. This paper presents a generic conceptual model of organizational competences. The objective is to link technology, product, and systems development with the corresponding organizational competencies and their future evolution in order to allow for a joint design of competencies and technologies, products, or systems. The conceptual model provides the basis for a competence combination framework which allows for modeling competence combinations in an organization. Finally, we validate our conceptual model using a case study from the automotive industry.

This study attempted to explore how pragmatic and hedonic values are influenced by the level of technology and what particular functions have to be considered in the context of smart technology- driven design in terms of Pragmatic Value (PV) and Hedonic Value (HV). An on-line questionnaire survey was developed to answer the research questions. A total of 104 respondents participated in the survey. As target product for the study, analog watch and smart watch were selected as representative of low and high technology respectively. Semantic Differentials on PV and HV were used and expected functions were investigated via an open question. The results indicate that there are some differences between analog and smart watches in terms of PV and HV. Regarding expected functions, significant differences were identified in the study. The findings from the study could provide a better understanding of the relationship between PV and HV in terms of level of technology. If it is considered in product development process, it may contribute to an increase of user satisfaction with smart- technology based product and service.