148,105 research outputs found

    Agent Technology in Supply Chains and Networks: An exploration of high potential future applications

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    This paper reports on an ongoing research project that\ud is aimed at evaluating how software agents can improve\ud performance of supply chains and networks. To conduct\ud this evaluation, first a framework is developed to classify\ud potential applications of software agents to supply\ud networks. The framework was used in workshop sessions\ud with logistics and information systems experts from\ud industry, software/consultancy and academia to identify\ud promising areas for agents. Based on the framework and\ud the outcome of the workshop sessions, this paper presents\ud promising application areas for the near future and\ud beyond

    A Systematic Review of Blockchain Literature in Logistics and Supply Chain Management: Identifying Research Questions and Future Directions

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    Potential blockchain applications in logistics and supply chain (LSCM) have gained increasing attention within both academia and industry. However, as a field in its infancy, blockchain research often lacks theoretical foundations, and it is not clear which and to what extent organizational theories are used to investigate blockchain technology in the field of LSCM. In response, based upon a systematic literature review, this paper: (a) identifies the most relevant organizational theories used in blockchain literature in the context of LSCM; and (b) examines the content of the identified organizational theories to formulate relevant research questions for investigating blockchain technology in LSCM. Our results show that blockchain literature in LSCM is based around six organizational theories, namely: agency theory, information theory, institutional theory, network theory, the resource-based view and transaction cost analysis. We also present how these theories can be used to examine specific blockchain problems by identifying blockchain-specific research questions that are worthy of investigation

    Drivers and Impacts of R&D Adoption on Transport and Logistics Services

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    Actually, technologies and applications in industries are changing via business restructuring, new business models, new knowledge and supply chains. So R&D is not focused primarily on manufacturing industry as it used to be, but on different kinds of industries as logistics and transport (TLS). Nevertheless, the characteristics of the TLS industry determine the introduction of specific R&D solutions accordingly to sectors operations. The objective of this paper is to describe the R&D opportunities in the TLS industry and how managers use them to make their businesses more innovative and efficient. Using the Structure-Conduct-Performance (SCP) model the paper identifies the links between R&D adoption and innovation dynamics. Relating the findings, on the driver’s side there are three points that are worth mentioning: increasing market competition, the relationships of firms interacting with each other and the availability and quality of complementary assets such as employee skills and IT know-how. On the impacts’ side, firms advanced in terms of implementing R&D solutions are more likely to implement organizational changes. Finally, a set of recommendations on how to further improve the continuous innovation in the TLS industry is presented

    Use of discrete choice to obtain urban freight evaluation data

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    The ex-ante evaluation of urban freight solutions is a complex task, due to the interference of different stakeholder groups with different views and objectives. The multi-actor multi-criteria methods have developed as a response to this scenario, but the determination of the weights required by them remains an unclear and controversial task. We propose the use of discrete choice methods as a powerful tool to confront these multi-faced evaluation problems, since the resulting surveys are flexible and easy to respond, and do not give away the final quantitative results. We have applied this methodology to the selection of urban freight solutions in the city of Seville, in Spain, followed by the determination of the relative weights associated to different objectives, both analyses carried out from the side of the carriers stakeholder group.Ministerio de EconomĂ­a y Competitividad TEC2013-47286-C3-3-

    The impact of freight transport capacity limitations on supply chain dynamics

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    We investigate how capacity limitations in the transportation system affect the dynamic behaviour of supply chains. We are interested in the more recently defined, 'backlash' effect. Using a system dynamics simulation approach, we replicate the well-known Beer Game supply chain for different transport capacity management scenarios. The results indicate that transport capacity limitations negatively impact on inventory and backlog costs, although there is a positive impact on the 'backlash' effect. We show that it is possible for both backlog and inventory to simultaneous occur, a situation which does not arise with the uncapacitated scenario. A vertical collaborative approach to transport provision is able to overcome such a trade-off. © 2013 Taylor & Francis

    Supply chain management as the key to a firm’s strategy in the global marketplace

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    Purpose: This research aims to analyze the intersection of two literature streams: that of strategy and supply chain management (SCM). This review should create a better understanding of “strategic SCM” by focusing on relevant theories in the strategic management field and their intersection with SCM to develop a joint research agenda. Design/Methodology/Approach: We conducted a correspondence analysis on the content of 3,402 articles from the top SCM journals. This analysis provides a map of the intellectual structure of content in this field to date. The key trends and changes were identified in strategic SCM research from 1990-2014 as well as the intersection with the key schools of strategic management. Findings: The results suggest that SCM is key to a successful deployment of strategy for competing in the global marketplace. The main theoretical foundations for research in this field were identified and discussed. Gaps were detected and combinations of theoretical foundations of strategic management and SCM suggest four poles for future research: agents and focal firm; distributions and logistics strategic models; SCM competitive requirements; SCM relational governance. Research limitations/implications: Scholars in both the strategy and the SCM fields continue to search for competitive advantages. Much recent research indicates that strategic SCM can be a critical source for that advantage. One of the limitations of our research is that the analysis does not include every journal that published an article mentioning SCM. However, the 34 journals selected are reputed to be the most influential on SCM and focused primarily on SCM. Practical implications: The map of the intellectual structure of research to strategic SCM highlights the need to combine different theoretical approaches to the complex phenomenon of SCM. Practitioners should consider the supply chain as an informal organization and should devote time and resources to build a shared advantage across the supply chain. They should also consider the inherent benefits and risks that sharing Originality/value: The paper demonstrates that strategic SCM needs a balanced and rigorous combination of theoretical approaches to deliver more theory-driven evidences. Our research combines both a qualitative analysis and a quantitative methodology that summarizes gaps and then outlines future research from a large sample of articles. This methodology is an original contribution to this field and offers some assistance for enlarging the sample of future literature reviews

    Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations

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    While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the returns they aspire to. This article systematically explores the barriers LSCM organizations experience in employing supply chain analytics that contribute to such reluctance and unachieved returns and measures to overcome these barriers. This article therefore aims to systemize the barriers and measures and allocate measures to barriers in order to provide organizations with directions on how to cope with their individual barriers. By using Grounded Theory through 12 in-depth interviews and Q-Methodology to synthesize the intended results, this article derives core categories for the barriers and measures, and their impacts and relationships are mapped based on empirical evidence from various actors along the supply chain. Resultingly, the article presents the core categories of barriers and measures, including their effect on different phases of the analytics solutions life cycle, the explanation of these effects, and accompanying examples. Finally, to address the intended aim of providing directions to organizations, the article provides recommendations for overcoming the identified barriers in organizations

    Towards a Novel Cooperative Logistics Information System Framework

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    Supply Chains and Logistics have a growing importance in global economy. Supply Chain Information Systems over the world are heterogeneous and each one can both produce and receive massive amounts of structured and unstructured data in real-time, which are usually generated by information systems, connected objects or manually by humans. This heterogeneity is due to Logistics Information Systems components and processes that are developed by different modelling methods and running on many platforms; hence, decision making process is difficult in such multi-actor environment. In this paper we identify some current challenges and integration issues between separately designed Logistics Information Systems (LIS), and we propose a Distributed Cooperative Logistics Platform (DCLP) framework based on NoSQL, which facilitates real-time cooperation between stakeholders and improves decision making process in a multi-actor environment. We included also a case study of Hospital Supply Chain (HSC), and a brief discussion on perspectives and future scope of work
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