Search results

The purpose of this study is to investigate the benefits and challenges of implementing circular economy (CE), as well as shed light on the influence of procurement strategy in CE implementation in construction projects.

A qualitative research approach with abductive reasoning was adopted. The empirical data were collected from the construction industry in the United Arab Emirates (UAE).

The results reveal that clients, consultants and contractors have limited awareness, knowledge and motivation to implement CE in construction projects. The absence of incentives to design projects following CE principles, lack of involvement of contractors and suppliers, non-use of materials that use CE principles and current procurement strategies are the main challenges for the implementation of CE in the UAE.

Previous research offers limited knowledge on CE and its implementation in construction projects particularly from a procurement strategy perspective. The findings of the study provide new knowledge of the benefits, challenges and role of procurement strategy for implementing CE. It is suggested that collaborative and partnering-based procurement methods are needed to facilitate the effective implementation of CE.

The “big room” concept and lean philosophy have become increasingly popular in the construction industry. Visual control is a central part of lean philosophy and the big room concept; its aim is to improve information flow, joint problem-solving and real-time decision-making. Visual control facilitates effective project management by providing information on what work is performed and why, customer requirements, deadlines, work status and potential problems. This study aims to explore how visualisation supports project management and control in a big room and the factors that facilitate good visual control.

This research is based on the case study method, and the objective is to elaborate the current understanding of factors that affect visual control. The study includes a literature review and an empirical study of a large construction project.

The results indicate that many factors facilitate visual control. Despite the importance of facilities and tools, communication and teamwork are identified as the key factors. On a broader level, the results indicate a need for a holistic approach in developing visual management strategies and practices in the construction industry and in complex projects in particular.

A single case may not be able to offer a generalised picture of this complex topic. However, the study provides novel insights for practitioners and researchers interested in the development of visual control and big rooms. Future research topics are also proposed.

While previous studies have identified many elements of successful big room implementation – including integration and early involvement, information sharing, tools and facilities – this study focusses specifically on the factors that facilitate visual control.

Recently, interest in sustainability has grown globally in the heavy vehicle and equipment industry (HVEI). However, this industry's complexity poses a challenge to the implementation of generic sustainable supply chain management (SSCM) practices. This study aims to identify SSCM's barriers, practices and performance (BPP) indicators in the HVEI context.

The results are derived from case studies of four multinational manufacturers. Within-case and cross-case analyses were conducted to categorise the SSCM BPP indicators that are unique to HVEI supply chains.

This study's analysis revealed that supply chain cost implications and a deficient information flow between focal firms and supply chain partners are the key barriers to SSCM in the HVEI. This analysis also revealed a set of policies, programmes and procedures that manufacturers have adopted to address SSCM barriers. The most common SSCM performance indicators included eco-portfolio sales to assess economic performance, health and safety indicators for social sustainability and carbon- and energy-related measures for environmental sustainability.

The insights can help HVEI firms understand and overcome the typical SSCM barriers in their industry and develop, deploy and optimise their SSCM strategies and practices. Managers can use this knowledge to identify appropriate mechanisms with which to accelerate their transition into a sustainable business and effectively measure performance outcomes.

The extant SSCM literature has focused on the light vehicle industry, and it has lacked a concrete examination of HVEI supply chains' sustainability BPP. This study develops a framework that simultaneously analyses SSCM BPP in the HVEI.

Ensuring the sufficient service level is essential for critical materials in industrial maintenance. This study aims to evaluate the use of statistically imperfect data in a stochastic simulation-based inventory optimization where items' failure characteristics are derived from historical consumption data, which represents a real-life situation in the implementation of such an optimization model.

The risks of undesired shortages were evaluated through a service-level sensitivity analysis. The service levels were simulated within the error of margin of the key input variables by using StockOptim optimization software and real data from a Finnish steel mill. A random sample of 100 inventory items was selected.

Service-level sensitivity is item specific, but, for many items, statistical imprecision in the input data causes significant uncertainty in the service level. On the other hand, some items seem to be more resistant to variations in the input data than others.

The case approach, with one simulation model, limits the generalization of the results. The possibility that the simulation model is not totally realistic exists, due to the model's normality assumptions.

Margin of error in input data estimation causes a significant risk of not achieving the required service level. It is proposed that managers work to improve the preciseness of the data, while the sensitivity analysis against statistical uncertainty, and a correction mechanism if necessary, should be integrated into optimization models.

The output limitations in the optimization, i.e. service level, are typically stated precisely, but the capabilities of the input data have not been addressed adequately. This study provides valuable insights into ensuring the availability of critical materials.

Increasing competition in global markets requires many countries to seek new growth sectors. In addition, the nature of competition is changing. This paper applies the business ecosystem concept and studies San Diego as a spatial health and life sciences ecosystem. The purpose of this paper is to identify issues that should be considered in design of innovation policies and regional industry development.

The research approach is built on a literature review of business ecosystems and spatial innovation. The empirical study is based on semi-structured interviews, observations, and information gathering and verification during field research.

The results include a description of the ecosystem structure and dynamics. This paper demonstrates the bottom-up nature of San Diego’s health and life sciences ecosystem without a dominant lead actor, and presents prerequisites for fostering spatial ecosystems.

A single case may not be able to offer a generalized picture of this topic. However, the study raises several considerations for researchers and decision-makers involved in innovation policy design. Future work should extend the study and involve other spatial and substance contexts to compare findings and to pursue a more generic picture of innovation ecosystems and networks.

This paper demonstrates that applying the concept of business ecosystems to the spatial context provides new insights in terms of dynamic mechanisms and factors contributing to economic growth in a particular location. Understanding how to facilitate the creation of successful spatial ecosystems is in the focal point of innovation policies.