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Nowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gümüshane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues.

This study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature.

According to the findings, “economic indicators” is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the “mixed access model strategy” is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry.

This study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gümüshane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.

Collaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for optimizing efficiency in supply chain networks through inbound and outbound Collaborative Logistics implementation among the carriers in centralized, coordinated networks with cross-docking.

A mixed-integer non-linear programming model is developed to determine the optimal truck-goods assignment while gaining economies of scale through mixing multiple less-than-truckload (LTL) products with different weight-to-volume ratios. Unlike the previous studies that have considered Collaborative Logistics from the cost and profit-sharing perspective, the proposed model seeks to determine an appropriate form of Collaborative Logistics in the VRP.

This article shows that in a three-echelon supply chain consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. This approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of collaborative logistics among the carriers was discussed. In a three-echelon SC consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. Using a combination of experimental analysis and optimization process, it was recommended that managers be cautious that too much (full or complete) or no collaboration can result in SC performance deterioration.

The suggested approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of Collaborative Logistics among the carriers was discussed.

Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis techniques to the business logistics and transportation community as a useful tool with which to study the dynamic flows of communication between members of a social network. Second, it describes a wide variety of techniques and then utilizes them to examine artifacts of scholarly communication ‐ journal citations. In doing so, it tracks the changing communication patterns across two separate time periods to describe the evolution and maturation of the fields of business logistics and transportation. Concludes that over a period of ten years the flow of information between the journals in the area of business logistics and transportation has become more efficient and that journals directly communicate with one another. Also, there is no longer a distinct break between logistics and transportation.

The Incheon Region has numerous assets that fall within a Pentaport model.' These include the Incheon International Airport, the Port of Incheon, a coastal industrial park, free economic zones, a leisure port, and Songdo new town designed to be the future Silicon Valley of Korea. This paper looks at how Northeast Asia trade flows between China and Korea might be enhanced by application of the Pentaport model in making the Incheon region a North East Asian Hub. It looks also at their trade and logistics systems as well as their water borne commerce. It proposes an integrated transportation system for the Yellow Sea Region being beneficial to the economies of the Northeast Asia. It also stresses that innovative technologies for ships, terminals and cargo handling systems should be introduced to develop a competitive short sea shipping system in the region and cooperation among the regional countries will be essential to achieve the final goal. The potential of methods of container shipping is discussed as it might apply to short sea shipping in the Yellow Sea Region that could greatly facilitate Incheon's situation with respect to the broader region in application of the Pentaport model.

The results from citation studies of journals have often been used as a benchmark in evaluating a faculty member's productivity for tenure, salary adjustment, teaching load reduction and other areas. It is also often used in ranking academic programs of particular disciplines in universities. This paper attempts to rank the leading journals in the logistics and transportation discipline using three different approaches: total weighted score, total weighted score on citations provided by journals other than the journal in question, and standardized weighted score. A different weight is assigned to each citation depending on whether the article in question is written by single or multiple authors, there are multiple citations of the same study, or the citation is from author/s’ own work. The ranks of journals differ depending on the citation study methods used. A sample of 19 journals in the logistics and transportation field for the year, 1999 was used as a sample space. The results of the study using the most objective and rigorous criterion, standardized weighted score, indicate that the top five journals in the logistics and transportation field are in order of their ranks, the Journal of Business Logistics, International Journal of Physical Distribution & Logistics Management, Transportation Journal, Production and Inventory Management Journal, and Journal of Supply Chain Management. Although this study reveals that the top three ranked journals remain stable regardless of the method used, there is strong evidence that the rankings of journals fluctuate widely based on volume and numbers of pages of the journals in question as depicted by the wide movements in Transportation Quarterly, Transportation Science and International Journal of Logistics. Standardized approach is a unique method to neutralize such bias in the citation study. Study limitations including study period of one year are discussed.

The majority of the companies surveyed are outsourcing some transportation functions. The most frequently outsourced transportation functions are freight bill auditing, freight payment and transportation reports, which are basically clerical/repetitive in nature. Also, frequently outsourced are international shipping and fleet maintenance, functions that require considerable technical expertise and assets. Transportation functions of a strategic nature are usually not outsourced. The primary reasons for outsourcing are labour cost savings, specialisation, asset reduction, and expanding workload. Generally, the firms that outsourced transportation are satisfied with the service. Loss of management control is the most important reason for not outsourcing, although loss of control was not identified as a major problem area for firms who do outsource. The providers of transportation outsourcing services are relatively small corporations.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

The purpose of this paper is to classify research on information and communication technology (ICT) for logistics and freight transportation on the basis of the main themes and methods and proposes directions for future research.

The review is based on 44 papers published from 1994 to 2009 in international peer‐reviewed journals. The academic papers are analysed and classified according to the research methodology adopted and the themes addressed.

While there are many contributions taking the “public transportation” perspective (i.e. the viewpoint of public stakeholders), papers focussing on the “private transportation” perspective (i.e. the viewpoint of the private companies offering logistics and transportation services) are fewer and relatively more recent. Additionally, even though in recent years researchers have also started to examine the decision‐making process of ICT adoption, many themes are under‐represented in literature, such as the subject of integration among different application types, empirical research on ICT adoption and the role of technology providers in the adoption process. As far as the methodology is concerned, the review revealed that many of the papers examined are either conceptual papers or empirical studies (i.e. mostly based on surveys, or else on case studies or interviews), while simulation and modelling are rarely present.

While efforts were made to be all‐inclusive, significant research efforts may have been inadvertently omitted. However, the authors believe that this review is an accurate representation of the body of research on ICT for logistics and transportation companies published during the specified timeframe, and feel that confidence may be placed on the resulting assessments.

The paper offers a guide for the review of previous research on this topic and identifies the most important issues that need to be addressed in future research.

Consolidation, the grouping of several small shipments into one at a designated location, can reduce total logistics cost. Total logistics cost includes consolidation, transportation and inventory costs. Identifying where cost‐saving opportunities exist is often confused by the interrelated nature of these various costs.

With various challenges in the digital era, stakeholders are expressing growing interests in understanding the impact of emerging and disruptive technologies on freight transportation. This paper provides a systematic literature review of the current state of affairs as well as future trends and aims to support stakeholders' decision-making in logistics management in the era of disruptive technologies.

Several recent and representative articles from academic, industrial and governmental perspectives were investigated to set the scene for this research and to serve as a baseline for electing nine emerging technologies, which were then used to conduct a systematic literature review covering the literature within the area during the past twelve years.

3D printing, artificial intelligence, automated robots, autonomous vehicles, big data analytics, blockchain, drones, electric vehicles and the Internet of Things were identified as the emerging technologies. The current state of existing research and potential future opportunities were analyzed.

Since the potential literature body is almost impossible to fully cover, a tradeoff between the number of emerging technologies and the related literature reviewed has been performed. However, the paper provides a novel approach to select the emerging and disruptive technologies and a systematic literature review to fill the identified research gap in the related literature.

The research support various stakeholders to better capture the current status of and the future opportunities in freight transportation and gain a clearer understanding of the disruptive technologies as well as to guide them in how to deploy these initiatives in future decision-making.

By providing a systematic literature review on the trends, themes and research opportunities in the era of disruptive technologies, the papers bring about broad and comprehensive review on the impact of disruptive technologies on logistics and transportation as well as opportunities to support management decision support in the logistics industry.