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The circular economy (CE) requires that ‘used’ materials continue to be in circulation after their initial use has finished. Materials are typically sourced in the building industry as new materials in bulk that carry guarantees of safety, quality and delivery. The distributed and diverse origins of used materials mean that they do not normally carry these guarantees. Furthermore, existing potential procurement systems for reused materials such as eBay allow users to present their auctions in a loosely structured form that can make it difficult to manage and procure multiple items to satisfy the quantities, condition and type required by the contractor. Therefore, this chapter proposes an information system to support the agile procurement of used materials at a scale that is appropriate for construction projects to support the CE. It describes the development of a tool called ‘JunkUp’ that would allow multiple auctions of similar items from diverse sellers to be managed as a single item. Based on this system, in future work, it should be possible to use this tool to test strategies to address the risk to safety, quality and delivery of reused materials in construction. This should ultimately lead to the opportunity to increase material reuse (and reduce waste) in the building and construction sector and support an agile CE for the building industry.

Due to recent technological developments, many maintenance managers become overwhelmed by the vast amount of data available to support their decision making. The purpose of this paper is to discuss identifying and eliminating waste in information management processes through a value stream mapping (VSM)-based method.

A theoretical framework is constructed based upon a review of the previous academic literature. The application of the framework is demonstrated with an empirical case example of a maintenance information management process within a food manufacturing company.

The paper highlights existing examples of applying VSM in information management; however, the knowledge is fragmented and has not been extensively applied in a maintenance context. The case example shows that the suggested process offers a feasible method of mapping and evaluating the inherent waste in information management processes.

The paper summarizes the existing body of knowledge on lean information management in maintenance, and presents a theoretical framework on how VSM can be applied in the context. An empirical example is provided to show the method applied to a real industry case. The results will illustrate how the framework can support companies in identifying the waste and development potential in their maintenance information management.

Big data and related technologies are expected to drastically change the way industrial maintenance is managed. However, at the moment, many companies are collecting large amounts of data without knowing how to systematically exploit it. It is therefore important to find new ways of evaluating and quantifying the value of data. This paper addresses the value of data-based profitability of maintenance investments.

An analytical wasted value of data model (WVD-model) is presented to quantify how the value of data can be increased through eliminating waste. The use of the model is demonstrated with a case example of a maintenance investment appraisal of an automotive parts manufacturer.

The presented model contributes to the gap between the academic research and the solutions implemented in practice in the area of value optimization. The model provides a systematic way of evaluating if the benefits of investing in maintenance data exceed the additional costs incurred. Applying the model to a case study revealed that even though the case company would need to spend more time in analyzing and processing the increased data, the investment would be profitable if even a modest share of the current asset failures could be prevented through improved data analysis.

The model is designed and developed on the principle of eliminating waste to increase value, which has not been previously extensively discussed in the context of data management.

This study aims to investigate how sustainability has been incorporated – or mainstreamed - in a school at one university through techniques of responsibilization and accountabilization.

Inspired by the extended case study methodology, the authors participated, observed and analyzed two audit-inspired processes, whose aims included ensuring that sustainability was integrated into the educational process.

By following two audit-inspired processes, the authors show how teachers were asked to respond to open-ended survey questions and by doing so emerged as responsibilized subjects. Although the teachers were given lots of space to interpret the concept of sustainability and show how it was translated into the programs and courses offered, the teachers were made accountable as established organizational hierarchies were reproduced when responsibilization was formalized through techniques of accountabilization.

The analysis moves beyond the instrumental epistemologies characterizing much of the positivist-oriented research in higher education. As with all studies, the authors study also has methodological limitations, such as involving a single higher education institution. There is a general need for more empirical research in this area in order to build theory and to understand whether the concepts of responsibilization and accountabilization can also be applied in other higher education contexts.

The study shows that higher education administrators engage in processes of responsibilization and accountabilization through formalized processes of interpellation, as documents and self-assessment exercises tie teachers to organizational contexts.

To the best of the author’s knowledge, this is the first study that introduces the concepts of responsibilization and accountabilization as social relationships in higher education governance.

The paper aims to raise awareness in the industry of design automation tools, especially in early design phases, by demonstrating along a case study the seamless integration of a prototypically implemented optimization, supporting design space exploration in the early design phase and an in operational use product configurator, supporting the drafting and detailing of the solution predominantly in the later design phase.

Based on the comparison of modeled as-is and to-be processes of ascent assembly designs with and without design automation tools, an automation roadmap is developed. Using qualitative and quantitative assessments, the potentials and benefits, as well as acceptance and usage aspects, are evaluated.

Engineers tend to consider design automation for routine tasks. Yet, prototypical implementations support the communication and identification of the potential for the early stages of the design process to explore solution spaces. In this context, choosing from and interactively working with automatically generated alternative solutions emerged as a particular focus. Translators, enabling automatic downstream propagation of changes and thus ensuring consistency as to change management were also evaluated to be of major value.

A systematic validation of design automation in design practice is presented. For generalization, more case studies are needed. Further, the derivation of appropriate metrics needs to be investigated to normalize validation of design automation in future research.

Integration of design automation in early design phases has great potential for reducing costs in the market launch. Prototypical implementations are an important ingredient for potential evaluation of actual usage and acceptance before implementing a live system.

There is a lack of systematic validation of design automation tools supporting early design phases. In this context, this work contributes a systematically validated industrial case study. Early design-phases-support technology transfer is important because of high leverage potential.

This paper aims to test the effectiveness of communication platforms in conveying the importance of sustainability messages focusing on electronic waste (e-waste) recycling. While corporate communication has been explored well, this research explores the influence of communication medium on the shift in attitude and behavioural intention of higher education students.

An experimental design approach was used with quantitative data analysis to address the research questions.

The results revealed that the text form of communication was more effective in conveying the e-waste recycling message. Students demonstrated a significant shift in attitude and call for action when they read the sustainability article instead of watching a video with the same message.

With several universities trying to integrate sustainability in their curriculum, this research provides guidelines on effective communication methods for students. It also sheds light on the choice of platforms that can be used by organisations to reach out to their employees to convey sustainability-related messages.

The paper addresses sustainability communication in a university by exploring the best method of communication. The results open up new conversations on the media richness theory in the context of sustainability.

The purpose of this paper is to discuss a systematic review on waste identification related to health information systems (HIS) in Lean transformation.

A systematic review was conducted on 19 studies to evaluate Lean transformation and tools used to remove waste related to HIS in clinical settings.

Ten waste categories were identified, along with their relationships and applications of Lean tool types related to HIS. Different Lean tools were used at the early and final stages of Lean transformation; the tool selection depended on the waste characteristic. Nine studies reported a positive impact from Lean transformation in improving daily work processes. The selection of Lean tools should be made based on the timing, purpose and characteristics of waste to be removed.

Overview of waste and its category within HIS and its analysis from socio-technical perspectives enabled the identification of its root cause in a holistic and rigorous manner.

Understanding waste types, their root cause and review of Lean tools could subsequently lead to the identification of mitigation approach to prevent future error occurrence.

Specific waste models for HIS settings are yet to be developed. Hence, the identification of the waste categories could guide future implementation of Lean transformations in HIS settings.

The purpose of this paper is to introduce a step‐by‐step implementation framework for lean product development (LPD), from the marketing research on product development process, product design to the launch of final production.

The research approach taken in this paper is built around the primary industry cases, practical approaches and partial solutions available within the existing literature.

The most recent improvement of LPD, from the authors' perspective, focuses on tools and implementation for LPD. In this paper, a detailed step‐by‐step implementation is given after the framework is introduced. Led by value and waste analysis in product development, different tools and techniques which can be used to eliminate wastes were discussed briefly, and then the implementation from Doing the Right Thing to Doing the Right Thing for company transition to lean were proposed elaborately.

Due to time and economic environment limitations, the authors have not covered and implemented this approach in all existing different environments to ensure that it is robust.

The approach described here seeks to overcome other frameworks' weaknesses in terms of the realistic aspect and feasibility, and combines more existing best practice from industry, consultancy and academia into a step‐by‐step framework for the achievement of effective LPD.