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The purpose of this paper is to investigate and contribute to the understanding of the critical issue of “driver turnover” in the USA long-haul trucking environment which is becoming a malaise in the transportation sector not only in the USA but also worldwide. Most importantly, it accomplishes this through an exploration of the perceptions of the “drivers” themselves regarding the external customer-base in the trucking industry. This, to the best knowledge of the authors, has not yet been done and so becomes the missing angle in focus on driver turnover research.

This exploratory study employs a qualitative research methodology via in-depth interviews of a select sample of drivers in a field setting followed by content analysis of the responses. This methodology, by and large, is the most suitable for this type of exploration.

A content analysis of the perceptions of drivers reveals several important reasons (or causes) for driver turnover. This paper elaborates on those and offers customer-centric solutions to alleviate the plight of the driver and improve overall performance in the trucking sector.

Needless to say, this exploratory research should be replicated in several other locations within the USA, other settings (e.g. trucking in extreme conditions), and other countries in order to enhance the external validity of the findings and recommendations.

All implications of this research are practical as they have direct managerial significance.

The value of this research lies in the fact that, to the best knowledge of the authors, this is the first study that explores the perceptions of long-haul drivers regarding the external customer-base of the trucking industry. The findings have direct implications for management in the trucking sector.

This research empirically analyzes gaps in performance among development stages of integration in supply chain management (SCM). The used variables are integration such as internal and external and performance such as cost and service. The population is international freight forwarders in the Republic of Korea and the sample frame is the membership list of the Korean International Freight Forwarders Association. The used methodology in this research is various: Cronbach’s alpha, factor analysis, cluster analysis, analysis of variance and post hoc analysis. It is important to ascertain the position in which they are included and the position is concerned with internal integration and external integration because the aim of this research is to ascertain where the forwarders are in development stages of integration. According to prior research, development stages of integration are regarded as the flow from internal to external. However, this research suggests that development stages of integration do not explain the flow of the stages but explain the strategic choice concerned with their current decision-making.

The aim of this study is to provide a holistic analysis of all possible maritime business logistics processes related to import and export shipments in a fuzzy environment through a case study of a maritime logistics company based on the as-is and to-be models within business process management (BPM).

The analyses considered the following perspectives: (i) in the stage of the process identification, the definition of the problem was carried out; (ii) in the stage of the process discovery, ocean department was divided into ocean export/import operation departments; ocean export/import operation were divided into freight collect/prepaid operation processes; ocean export/import logistics activity groups were broken down into sub-activities for freight collect/prepaid operation; the logistics activity groups and their sub-activities were defined; each sub-activity as either operation or documentation process group was classified; the durations of sub-activities were evaluated by decision-makers (DMs) as fuzzy sets (FSs); the monthly total jobs activities were estimated by DMs as FSs; the applied to monthly jobs activities of total shipments were estimated by DMs as FSs; the durations of each sub-activities were aggregated; the duration of the logistics activity groups and the sub-activities for per job were calculated; the cumulative workload of logistics activity groups and sub-activities were calculated; the duration of sub-activities for per job as operation or documentation departments were calculated, (iii) in the stage of the process analysis, cumulative ocean export/import workload as operation or documentation for freight collect/prepaid were calculated; duration of activity groups and sub-activities for per job as operation or documentation were calculated; cumulative workload activity groups and sub-activities as operation or documentation were calculated, (iv) in the stage of the process redesign, cumulative workload, process cycle time as operation and documentation group and required labor force were calculated; the process cycle time of the theoretical, the as-is model and the to-be model were calculated: (i) the theoretical minimum process cycle time without resource were calculated by the critical path method (CPM), (ii) the process cycle time of the as-is model perspective with the 1 person resource constraint and (iii) the process cycle time of the to-be model perspective with the 2-person resource constraint were calculated by the resource constrained project scheduling problem (RCPSP) method.

The methodology for analyzing the ocean department operation process was successfully implemented in a real-life case study. It is observed that the results of the to-be model can be applicable for the company. The BPM-proposed methodology is applicable for the maritime logistics industry in the present study; however, it can be applied to other companies in maritime logistics as well as other industries.

This study contributes to research using BPM methodology in maritime logistics. This is the first study the logistics process analyses were carried out in terms of including all operation processes for a company. All processes were analyzed by using BPM methodology in maritime logistics. This study demonstrated the application of the BPM as-is and to-be models to maritime logistics. The as-is and the to-be models of the BPM methodology were applied in maritime logistics.

This methodology applied in this study can enable organizations operating in the time-urgent maritime logistics sector to manage their logistics processes more efficiently, increase customer satisfaction, reduce the risks of customer loss due to poor operational performance and increase profits in the long term. Through the use of these methodologies utilizing FSs, the CPM and the RCPSP methods, this study is expected to make contributions to the BPM literature and provide original insights into the field. Furthermore, this study will undertake a comprehensive analysis of maritime logistics with respect to BPM to deliver noteworthy contributions to the maritime logistics literature and provide original perspectives into the field.

Facing the diverse needs of large-scale customers, based on available railway service resources and service capabilities, this paper aims to research the design method of railway freight service portfolio, select optimal service solutions and provide customers with comprehensive and customized freight services.

Based on the characteristics of railway freight services throughout the entire process, the service system is decomposed into independent units of service functions, and a railway freight service combination model is constructed with the goal of minimizing response time, service cost and service time. A model solving algorithm based on adaptive genetic algorithm is proposed.

Using the computational model, an empirical analysis was conducted on the entire process freight service plan for starch sold from Xi'an to Chengdu as an example. The results showed that the proposed optimization model and algorithm can effectively guide the design of freight plans and provide technical support for real-time response to customers' diversified entire process freight service needs.

With the continuous optimization and upgrading of railway freight source structure, customer demands are becoming increasingly diverse and personalized. Studying and designing a reasonable railway freight service plan throughout the entire process is of great significance for timely response to customer needs, improving service efficiency and reducing design costs.

Key components of the logistics mix are described in an effort to create an understanding of the total logistics concept. Chapters include an introduction to logistics; the strategic role of logistics, customer service levels, channel relationships, facilities location, transport, inventory management, materials handling, interface with production, purchasing and materials management, estimating demand, order processing, systems performance, leadership and team building, business resource management.

The purpose of this paper is to determine how customers from different market segments assess the quality of freight forwarding services, depending on the structure of services, as well as the mutual relation between the freight forwarder and the customers.

The research is based on the SERVQUAL model and surveys. The methodology for measuring the quality of logistics services in freight forwarding companies is developed. On the basis of the proposed methodology, the empirical research was conducted. The study includes 120 logistics professionals dealing with import and export trade flows who thereby use the services of freight companies. The verification of the SERVQUAL instrument, results and hypotheses are conducted using the factor analysis and ANOVA.

The results show that logistics service quality (LSQ) of freight forwarding companies in Serbia is not at a satisfactory level. Different market segments evaluate the level of quality of service in a different way. Also, customer exceptions and the level of quality depend on the structure of services, as well as the mutual relation between the freight forwarder and the customers.

Empirical research and the results are limited to the Serbian market, and only one measurement tool.

The procedure and results of the research have practical applications and set the basis for the improvement of forwarding and logistics services.

This is one of the first papers dealing with the LSQ of freight forwarding companies in Serbia. Generally, the developed approach can be successfully applied on other markets, which adds value to this paper. New research hypotheses are developed and tested. In that manner, this paper makes contribution in measuring and improving the LSQ.

Several variables are widely regarded as affecting the shippers' transportation choice process. Early analyses of transportation choice by Meyer et and by Friedlaender emphasised rates and inventory costs as important determinants of transportation choice. Later, Ballou and DeHayes discussed the effect of transportation reliability on inventory levels, particularly that variation in delivery times increases inventory levels even when average delivery time remains constant. The Baumol and Vinod model of transportation choice considered freight rates, speed, reliability (variance in speed) as well as loss and damage. Finally, Neuschel recognised the logistics concept requires that the economics of transportation must be balanced with company policies and customer considerations such as manufacturing, warehousing, and customer service.

The service sector is the key driver of a country’s economic growth. The quality of service is more important for the survival of any organization. It is the interactive process by which the organization understands the customer and satisfies their needs. The main purpose of this study is to identify the factors influencing service quality in ocean freight forwarding and to study the association between the factors.

This research uses a deductive approach, which understands the theory first and collects the data. A questionnaire is designed to collect the data. The sampling technique used is two-stage sampling. First, the freight forwarders are selected and then the customers, importers and exporters are selected randomly. Likert scales are used to measure quality factors such as tangibility, reliability, responsibility, value, empathy and assurance. The association of factors is empirically evaluated. The SPSS tool is used for the correlation analysis.

An extensive review of the literature has been done to study and identify these service quality factors influencing customer satisfaction and loyalty. The result of this extensive literature review revealed that tangibility, responsiveness, reliability, trust, empathy and value are the service quality. It has been proved that there exists a significant association between the service quality factors and is positively related to the customer satisfaction.

Some studies have examined the freight forwarders’ service quality, but not specifically related to any dimension. This study attempts to bring together the five dimensions of SERVQUAL scale and the value dimension evaluating the cost, freight charges, safety and security criteria in the industry and examines the association between the quality factors and customer satisfaction.

The case of the global freight forwarding industry is one example where networks of small‐ to medium‐sized enterprises (SMEs) are playing an increasingly important role. Internationalisation opportunities and competitive advantages may be obtained by SMEs in pooling their resources and exchanging information and expertise. This empirical case study examines horizontal collaboration between SMEs that consider their other network members, first and foremost, as competitors.

There are two aims of this research: one is to prove the interactive effect of supply chain integration (SCI) on performance and the other is to ascertain gaps in performance among levels of SCI. The population of this research is international freight forwarders and the collected data is used in testing hypotheses through various analytical methods such as factor analysis, Cronbach’s alpha, cluster analysis, ANOVA, MANOVA, ANCOVA, post hoc analysis and regression analysis. First, the interaction between internal integration and external integration improves customer performance and financial performance. The forwarders improve internal processes following information acquired from customers and the information is shared with logistics service providers, followed by high performance. Second, gaps in performance among levels of SCI are verified. Managers of the forwarders make strategic decision making on the basis of their recognition of environment and, as a result, the forwarders enjoy different performance.