Background
Climate changes are forcing a paradigm shift from cost-efficient transports to CO2-efficient transports. An important step to enable this paradigm shift is to reduce delivery time requirements for a large part of the deliveries, targeting delivery consolidation and more efficient routing (McKinnon, 2018). This study aims to enhance resource efficiency and reduce climate impact in urban last-mile deliveries. Addressing business-to-business deliveries, we will identify, and evaluate strategies to make last-mile distribution more sustainable. A key component of the study is the introduction of spatiotemporal delivery flexibility, i.e. flexibility in both delivery time and location, to reduce environmental impact in last mile deliveries. Trade-offs can be sought which improve the overall supply chain performance (Zijm and Klumpp, 2017) and strive for enhanced sustainability performance (McKinnon, 2018). Although published examples of ‘best practice’ advertise the benefits of logistics control, a systems perspective is lacking considering the performance of flexible spatiotemporal delivery schedules.
The inclusion of flexibility in delivery location and delivery times thus go hand in hand with logistic services, such as consolidation centra or booking systems, forming a bridge between vehicle and material data from suppliers and delivery destinations. In turn, these data can be converted into actionable measures, such as streamlining the transport trips in space and time, and ultimately better coordinate the different material and product. Crucial in achieving a resource-efficient last-mile delivery is that different stakeholders collaborate and share information to addresses various challenges (Sallnäs and Björklund, 2023). Last-mile logistics is a service production. In all service production it is important to understand how value by the service is created for different actors as well as to understand how the service is organized. The last-mile delivery supply chain includes several actors that have a sequential dependency in their physical flow of activities, but also a dependency on each others data and information to effectively organise the physical flow. To deliver what the final customer is expecting to a service level that make them return is important.
The purpose is to analyse the change process in a B2B network focusing on the relationship between physical transport flexibility and information sharing and the actors power dependencies in implementing changes to accomplish spatiotemporal delivery flexibility.
The implementation of resource-efficient last-mile deliveries in for example e-commerce has been through the use of parcel-boxes and different other innovative methods for handing over the package to the consumer (Halldórsson and Wehner, 2020). This however requires increased transport flexibility (Rogerson et al., 2025). Flexibility is the ability to change and have been studied within operations and transport research for several years through for example supply chain flexibility, manufacturing flexibility and transport flexibility and within these several flexibility dimensions have been identified such as volume, mix, method, time etc have been described. For example Rogerson et al. (2025) identifies that transport flexibility can be achieved through volume and temporal dimensions and translate them into different measures connected to transport planning, warehouse, terminal, transport operations and delivery. However, studies of the combination of spatial and temporal flexibility in B2B deliveries and how this is to be implemented within a network of actors are limited. Spatiotemoral flexibility have earlier been treated as a topic within energy scheduling and data management systems.
Methodology:
The study is based on a single case study consisting of three actors in a network. The actors consist of a construction wholesaler, a transport provider and a data system provider. The study is based on individual interviews. joint workshops and observations with the three actors. The focus of the data collection has been to understand the dependencies between actors and the business and policy related impacts of the changes required to reach the spatiotemporal flexibility. An interview guide to capture the same information from all participating actors have been used. The workshops have been organized as future workshops, with the aim to formulate concrete solutions and action proposals. In terms of the analysis, a first step was to develop service blueprints. Service blueprints is a tool to provide an overview of the interdependencies between actors in service production. The service blue prints have been analysed with the focus of identifying how the changes to accomplish spatiotemporal flexibility in the last mile delivery to the final customer propagate through the service organisation flow between the actors of the studied network. This provides understanding of what activities that require change. These changes have thereafter been discussed with the actors to identify what are the possible pros and cons with these from their respective organisations point of view. Furthermore, the relationship between the actors and the necessary changes have been analysed through the lens of a power framework proposed by Hardy (1996). The framework categorises power into four dimensions: power of the system, power of meaning, power of processes and power of resources. Similar to the analysis of Sallnäs et al. (2022), this paper draws on these dimensions from an inter-organisational perspective, to understand how and why changes in spatiotemporal flexibility can be achieved.
Analysis and results
The study contributes with detailed service blueprints including both physical and information related activities describing the delivery service of construction goods.
The results show that spatiotemporal flexibility in delivery services emerges through interactions across the service network, rather than from isolated actors. Flexibility propagates unevenly, with specific activities, such as order consolidation, routing, and last-mile coordination, posing particular implementation challenges due to organisational and procedural constraints.
A central finding is the critical role of information flow in enabling flexibility. Achieving adaptive delivery planning requires timely and context-specific data sharing across actors. Current planning systems are insufficiently responsive, highlighting the need for new modules capable of processing dynamic and time-sensitive data.
Power relations strongly influence actors’ willingness and ability to adopt flexible practices. Furthermore, we identify how the different power dimensions affect the actors relationships and their willingness to do necessary changes among activities and data sharing. Notably, the power balance in the triadic relationship between wholesalers, transport providers, and data system suppliers - an underexplored configuration in logistics - has an impact on the possibilities for spatiotemporal delivery flexibility.