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This paper defines the emerging intermodal issues, identifies alternative solutions and develops strategies to achieve them. It reviews intermodal logistics policies in the EU, NAFTA and Asia, focusing on the United States and Japan in NAFTA and Asia respectively, because they have been the prominent motors of international trade in their regions. From an Asian standpoint, it is a pity that it is not yet possible to report on a common intermodal strategy.

Organizations, would they be individual companies or large multi-firm networks, face a wide variety of potential risks requiring dedicated keen management. It all the better applies to supply-chains as risk, related to both physical and information flows, pervades the whole logistics network and has acquired a new and growing security dimension since 9/11. More specifically, as they are now under the permanent threat of terrorism, and because offering sufficient security levels is bound to become a necessary condition for global supply-chain membership, seaports need to adjust their risk management strategy and processes accordingly. In such a context, this paper aims at describing the project of a decision-support system, dedicated to container transit security-wise decision making and which features an expert-system architecture.

An unprecedented scale of human migration has lead humanitarians to view camps as long-term settlements rather than temporary holding facilities. The purpose of this paper is to increase the understanding of and identify challenges with this proposed new approach to camp design.

Based on the camp design literature, the authors developed an interview guide and checklist for data collection. A multi-site case study and within- and cross-case analysis was then conducted.

The findings suggest that the proposed new approach is implemented only to a limited extent, and mostly in a stepwise manner. As camps mature, there is a shift toward the new approach, but most camps are established using the traditional top-down, temporary, and isolated approach.

The findings are based on four camps in four different countries and do not provide an exhaustive global coverage.

The insights the authors derived and the challenges identified from the empirical evidence can be used to better plan future camps.

The results can support improvements in camp design, thus alleviating suffering for both refugees and host communities, particularly in developing countries. In particular, the trade-off between a permanent solution and the temporary must be accounted for.

The study contributes to the literature by developing and proposing a conceptual framework to camp design. The cross-case analysis provides an initial understanding and categorization of challenges with implementing the new approach. It also suggests an evolutionary perspective of camp design.

Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims to identify key service- and digital technology-driven B2B innovation modes and proposes a research agenda for further exploration.

This conceptual paper adopts a techno-demarcation view on service innovation, encompassing three core dimensions: service offering (the service product, or the “what”), service process (the “how”) and service ecosystem (the “who/for whom”). It delineates the implications of three digital technologies – the internet-of-things (IoT), intelligent automation (IA) and digital platforms – for service innovation across these core dimensions in B2B markets.

Digital technology has immense potential ramifications for value creation by reshaping all three core dimensions of service innovation. Specifically, IoT can transform physical resources into reconfigurable service products, IA can augment and automate a rapidly expanding array of service processes, while digital platforms provide the technical and organizational infrastructure for the integration of resources and stakeholders within service ecosystems.

This study suggests an agenda with six themes for further research, each linked to one or more of the three service innovation dimensions. They are (1) new recurring revenue models, (2) service innovation in the metaverse, (3) scaling up service innovations, (4) ecosystem innovations, (5) power dependency and lock-in effects and (6) security and responsibility in digital domains.

This study contributes to a better understanding of the important actor-specific, micro-level legitimacy dimensions in dynamic entrepreneurial ecosystems (EEs).

Using an embedded case study approach and rich longitudinal data collected over 16 years within a French EE, the study analyzes the legitimacy gaining process of two actors coming from opposite founding conditions.

Three dimensions of legitimacy (3L) are necessary to be accepted as functional actors within EEs: institutional legitimacy (IL) refers to the EE's acceptance of an actor as an institution active in the field of entrepreneurship; cultural legitimacy (CL) means that the actor is recognized as possessing and promoting values considered appropriate by the entrepreneurial community; relational legitimacy (RL) relates to the willingness of the entrepreneurial community to interact with the actor. These are complementary dimensions that members of EEs need to possess to acquire full legitimacy. Different paths are possible to achieve this full legitimacy.

Replicating the study with a comparative approach including more actors could represent an interesting avenue for research.

This research provides insights into the underlying dimensions of legitimacy in EEs, how various actors gain legitimacy in such contexts and how this influences the dynamics of EEs.

The results provide novel insights into the issue of legitimacy in EEs and legitimacy theory in general.

This study aims to develop an assessment methodology using a Bayesian network (BN) to predict the failure probability of oil tanker shipping firms.

This paper proposes a bankruptcy prediction model by applying the hybrid of logistic regression and Bayesian probabilistic networks.

The proposed model shows its potential of contributing to a powerful tool to predict financial bankruptcy of shipping operators, and provides important insights to the maritime community as to what performance measures should be taken to ensure the shipping companies’ financial soundness under dynamic environments.

The model and its associated variables can be expanded to include more factors for an in-depth analysis in future when the detailed information at firm level becomes available.

The results of this study can be implemented to oil tanker shipping firms as a prediction tool for bankruptcy rate.

Incorporating quantitative statistical measurement, the application of BN in financial risk management provides advantages to develop a powerful early warning system in shipping, which has unique characteristics such as capital intensive and mobile assets, possibly leading to catastrophic consequences.

The purpose of this research is to study the Colombian avocado export industry, identify key insights associated with creating and sustaining the avocado value chain, and to understand the impact of the public policies affecting this industry.

The approach consists of two case studies to shed light on the opportunities and challenges of developing a sustainable avocado value chain in Colombia. One case deals with a vertically integrated business (Arcángel Miguel) while the other focuses on an association of small growers (Asohass). The analysis was informed by a series of interviews with key actors along the avocado supply chain to uncover the business strategies to move avocados to destination markets. The authors compare and contrast approaches to business development, international expansion, and role of public policies.

The authors found that the strategies followed by these organizations differ in means but aim for the same objective: maximize profits, improve environmental performance, and enhance the social wellbeing of growers. The authors found that each type of business model requires distinct public policies to succeed and different strategies to appropriately allocate efforts. The findings are relevant to other high-value crops and other Latin American countries with similar geographical and social characteristics.

These insights underscore the need of public policies tailored to the specific needs of the different actors in the value chain. The current emphasis on certifications and export markets works well for large agribusinesses, but smallholder growers need policies tailored to new investments in physical, human, and social capital.

This study contributes to the literature on avocado value chains in Latin America, emphasizing the challenges faced by the emergent Colombia avocado sector, a country that only began exporting this commodity in 2010.

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

The application of smart contract can greatly reduce transaction costs and improve transaction efficiency. The existing smart contract are expensive, single application scenario and inefficient. This paper aims to propose a new smart contract model to solve these problems.

By investigating the research history, models and platforms, this paper summarizes the shortcomings of existing smart contracts. Based on the content and architecture of traditional contract, a smart contract model with wider application scope is designed.

In this paper, several models are used to describe the operation mechanism of smart contracts. To facilitate computer execution, a decomposition method is proposed, which divides smart contracts into several sub-contracts. Then, the advantages and deployment methods of smart contract are discussed. On this basis, a specific example is given to illustrate how the application of smart contract will change our life.

Smart contract is gradually applied to more fields. In this paper, the structure and operation mechanism of smart contract system in reality are given, which will be beneficial to the application of smart contract to more complex systems.