No description available.

No description available.

No description available.

No description available.

No description available.

Logistics, as a factor that affects the total cost of a product, has attracted attention in many industries. However, construction is behind other industries, such as manufacturing and food, in terms of obtaining value through application of effective logistics management. Some specific characteristics of the construction industry, such as fragmented supply chain, indirect employment, temporary location and matchless products, have prevented organisations utilising logistic management in their projects. In construction, logistics is about the mobilisation of different types of resources to feed the project with the required materials and components at the right time, in the right place, right quantity and right quality. To do so, a new approach to construction logistics should be undertaken that respects the special characteristics of this industry. This research aims to develop a conceptual model based on the current practice of construction logistics in building projects. This model, in addition to complying with the special characteristics of the construction industry, is also adapted to the economic, cultural, technological and environmental specifications of the building sector in Iran. The complexity mindset is adopted in this research which allows considering a construction logistics system as a whole and the system may assert an aggregate behaviour. This approach is called holism and investigates the performance of complex adaptive systems. The study is focused on the Iranian construction industry as the main source of data collection. To achieve the aim and objectives of the research, a literature review was followed by qualitative and quantitative data collection. This research adopted the complementarity approach that uses qualitative and quantitative strategies in a way that complement each other. In the qualitative phase, twenty four open-ended interviews were conducted with construction practitioners who work in the building sector in Iran. Gathered data was analysed using NVivo. This involves codifying the textual data to find themes, categories and relationships. The results of the first phase were rich and exploratory and explained opinions, norms and attitudes. Based on the results of the first phase, a questionnaire with ten sections was designed to investigate different aspects of construction logistics from wider perspectives by conducting a survey on a large sample. The data gathered from the second phase were analysed in a descriptive manner to provide statistical information about the present practice of construction logistics in the Iranian building sector. The final product of this research is a holistic conceptual model that has four subsystems: (a) environmental factors (b) operational factors, (c) commercial factors, and (d) managerial factors. Each subsystem has several agents that are different functions of logistics in a building project. The environmental factors include project size and location, peak working seasons, resource conservation and weather conditions. The operational factors discuss technological matters, construction methods, new materials, waste and transportation. The commercial factors encompass the supply chain, finance, economic conditions, material costs, estimation, supplier selection, packaging, purchasing, inspection, and material quality. The managerial factors cover material management, warehousing, material handling, information management, scheduling, delivery, organisation, personnel, knowledge, culture and site layout designing. All of these functions are integrated under the topic of construction logistics model. The model also illustrates the relationships among agents of the system. The developed model, in addition to technical factors, has paid attention to soft factors such as culture, economy and knowledge. The model is adaptable to changing environments and elements may be added or deleted from the system whenever required.

The purpose of this research is to identify the impact of E-Collaboration Technologies on the efficiency and effectiveness of collaborative decision-making in two types of Supply Chains; Service Supply Chain and Manufacturing Supply Chain. It is also to determine whether or not E-Collaboration Technologies enable collaborative decision-making and to examine the impact on difference decision-making styles and task types. Besides that, this research also endeavours to identify the impact of E-Collaboration Technologies on trust development in the context of Supply Chains collaboration. Earlier studies confirm that there are different decision-making styles adopted by managers in their decision-making process. This study explores every aspect of the decision-making styles and relates it to Supply Chains decisions activity. The current scenario which requires collaboration among different parties globally, the adoption of E-Collaboration Technologies able to assist the key decision-make rs to collaborate together and to achieve the objectives. However, there are in certain conditions where E-Collaboration Technologies are not suitable to adopt because of several decisions' characteristic which will be discovered in this thesis. The researcher adopted qualitative research design where case studies become the main research method. This study consists of eight case studies of collaborating projects in the Service Supply Chain and Manufacturing Supply Chain. Based from the construct on the impact of E-Collaboration Technologies on efficiency and effectiveness that earlier developed during the review of literature, the researcher conducted semi-structured interview with the key decision-makers and consequently further develop the framework that has been introduced as the conceptual framework. The research findings prove that there are certain collaborative decision-making styles and decision task types that able to accept E-Collaboration Technologies as a medium of making decisions and certain are not due to the complex nature of the decisions. This research also differentiates the impact of E-Collaboration Technologies used in the Service Supply Chain (communication technology) and Manufacturing Supply Chain (online business process tools).

Today, more and more organisations recognise that climate change is happening and have already begun to suffer from the impacts of this change. However, the predominant response to this challenge has been one of mitigation, not necessarily to protect companies and supply chains from the impacts of climate change, but rather to reduce the impact of business and logistics on the environment. In order to prepare organisations and their supply networks for the projected impacts, the concept of adaptation to climate change has recently attracted increasing attention amongst scientists and practitioners. As most research has been conducted in the public sector, this thesis aims to determine how supply networks in the private sector can adapt to climate change and its related risk factors. The field research is designed as a single large case study and investigates a global coffee supply network. As the coffee industry is very sensitive to climate change it has already taken actions to make the supply network more resilient and can therefore offer valuable insights into the concept of adaptation to climate change. Multiple interviews were conducted and the information received was analysed using two developed a priori models concluded from literature. This research contributes to the literature in supply chain risk management by adding supply chain climate risk (SCCR) as a new sub category of external supply chain risk and extends the literature in ‘learning’ by proposing a process model of network learning as a solution to enable supply networks to adapt to climate change. This thesis also offers a number of mechanisms to provide decision makers with practical recommendations that should be implemented throughout the coffee supply network. Therefore, for the first time, this research addresses the contemporary problem of climate change by taking a supply network perspective and proposing a network learning process that enables an adaptation to the identified and location-specific climate risk. Besides its contribution to theory, this thesis is also highly relevant for practitioners as it offers clear managerial guidance of how the researched coffee supply network can become more resilient to climate change.

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Supply Chain Risk Management (SCRM) has become a popular area of research and study in recent years. This can be highlighted by the number of peer reviewed articles that have appeared in academic literature. This coupled with the realisation by companies that SCRM strategies are required to mitigate the risks that they face, makes for challenging research questions in the field of risk management. The challenge that companies face today is not only to identify the types of risks that they face, but also to assess the indicators of risk that face them. This will allow them to mitigate that risk before any disruption to the supply chain occurs. The use of social network theory can aid in the identification of disruption risk. This thesis proposes the combination of social networks, behavioural risk indicators and information management, to uniquely identify disruption risk. The propositions that were developed from the literature review and exploratory case study in the aerospace OEM, in this thesis are:- By improving information flows, through the use of social networks, we can identify supply chain disruption risk. - The management of information to identify supply chain disruption risk can be explored using push and pull concepts. The propositions were further explored through four focus group sessions, two within the OEM and two within an academic setting. The literature review conducted by the researcher did not find any studies that have evaluated supply chain disruption risk management in terms of social network analysis or information management studies. The evaluation of SCRM using these methods is thought to be a unique way of understanding the issues in SCRM that practitioners face today in the aerospace industry.