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Purpose -The paper aims to define the most beneficial types of information within a supply chain and their level of value for different partners in the supply chain. A secondary objective of this study is to compare the literature focus with the practitioners' perception concerning the value adding information types and their value level in the supply chains. Design/methodology/approach -In this study, by reviewing published papers and textbooks on functionality and the value of information in supply chains, the most important types of information beneficial for the different partners of the supply chain depending on their position are identified. The value levels are quantified for the different partners through the supply chain by interviews with practitioners in different segments of the chains. A comparison between values of significant information types in the supply chains, concluded from the literature and the practitioners' interviews, is presented in this paper. Findings -The study indicates the warehouse operations information as the most valuable information type from the practitioner's perspective. Also the result of this paper indicates increasing value of information further down the supply chain. Practical implications -The result of this study could be applied for prioritizing the need for different information types in designing a supply chain. Originality/value -This paper adds to the literature on the value of information and supply chain information by identifying and categorizing different types of information which are made available to create value for different partners in the supply chain. Also, this study identifies the benefit share of different supply chain partners from information. A comparison of the ideas of the literature and practitioner's on value of information is shown in this study.

Purpose -The purpose of this paper is to use the conceptual model of the Smart Transportation Management (STM) system and analyze how the included factors change the performance of distribution activities and what management issues are at stake. Design/methodology/approach -To prepare the paper, a literature study was made and case studies carried out in companies and organizations that are included in advanced transportation setups, including infrastructure providers, carriers, truck manufacturers, software providers, shippers, and more. Findings -The main finding of the study is a model that includes three major components of smart transportation management, namely, smart goods, smart vehicles and smart infrastructure. These components embrace some factors that have effects on supply chain performance; however, to different extents.Research limitations/implications -The paper uses a framework for the smart transportation management system that is useful when studying advanced transportation management systems, the functions that need to be supported and what factors have effects on supply chain performance. Practical implications -Practical implications are mainly based on the structure of the smart transportation system that is used and the identified factors that affect the performance of the supply chain, as these factors can be influenced by logistics management. Originality/value -The framework used in this research is a new development that collects advanced functions of goods identification, vehicle information systems and infrastructure systems into one conceptual model for smart transportation management that include some factors that are affecting supply chain performance.

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