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This paper seeks to identify and assess the problems of distribution and logistics that arise in the fishery sector in Greece and to examine the impact of market orientation with regard to these problems.

The paper is based on the findings of a survey involving 186 companies. Descriptive statistics for each variable were used in order to assess the importance of each problem of distribution and logistics. Cluster analysis was carried out based on the perception of the importance of the problems of distribution and logistics. In addition, “crosstabs”analysis was used to examine the association between distribution problems and the firm characteristics of each cluster. Finally, linear multiple regression analysis was carried out, with each problem of distribution and logistics taken as the dependent variable and each element of marketing and logistics taken as an independent variable.

The importance of distribution and logistics problems varied widely, as did the market orientation between the groups of participating firms. In addition, certain firm characteristics and infrastructure factors can become so significant that they directly affect the degree of importance of the above problems.

Distribution & Logistics Managers should be aware of the significant influence that certain characteristics of the firms can have on the distribution function. Special attention should be paid to the importance of the distribution problems and the role of market orientation.

Unlike earlier research carried out in this domain, this study deals with a much wider range of problems and a broader cross‐section of companies. In addition, it is the first to focus in detail on the degree of importance of distribution problems and the role of market orientation.

A number of literature contributions have underlined the importance of developing value-added logistics activities or VALS in order to help improve customers’ satisfaction. However, there is usually very little attention given regarding where to perform these VALS. This study aims to: (1) identify a comprehensive set of factors which may influence the location of VALS, (2) to analyze to what extent those factors influence location decisions, and (3) to distinguish the determinants behind the location choices for distribution centers and for the kind of VALS that will be developed in these distribution centers.

In this paper, we will present a conceptual framework on the locations of VALS in view of the identifying determinants for assigning VALS to logistical centers. We argue that the optimal location of VALS is determined by complex interactions between the determinants at the level of the choice of a distribution system, distribution center location factors, and different logistical characteristics regarding products.

This monograph progresses from a consideration of definitional issues to the development of a conceptual model for marketing‐logistics interaction and finally to a discussion of the issues of implementation of the model within the context of marketing strategy. Thus, following an introduction, Part II begins with definition of the field and examines the position of physical distribution in relation to marketing. Part III discusses the relationship of physical distribution and macro‐marketing, and is thus concerned about the social, aggregative goals of logistics systems, including the costs of distribution. Part IV continues this argument, examining specifically the influence of physical distribution on channel structure. Part V then focuses on the assumptions underlying the customer service function, asking how physical distribution can influence final demand in the market place. Part VI presents a conceptual model of marketing‐logistics demand stimulation. The operational issues concerned with its implementation are shown in Part VII; and a summary of the relevant points is presented in Part VIII. The concern has been not with presenting either new computational models nor empirical data but with presenting a new perspective on the marketing‐logistics interface. There is a need to reduce the barriers between these fields and to present more useful ways for co‐operation.

This issue contains abstract under the following headings: Logistics & Distribution Strategy; Supply Chain Management; IT in Logistics & Distribution; Just‐in‐Time Management; and Accounting for Logistics.

The purpose of this paper is to explore why and how firms with logistics-intensive operations such as fast-moving consumer good (FMCG) distributors benefit from residing in logistics clusters. In particular, this study seeks to fill a gap in the understanding of how logistics clustering may influence FMCG firms’ distribution capabilities.

Three case studies of FMCG distributors geographically agglomerated within Q Logistics Cluster in Jordan serve to elaborate the existing theory of clustering. Data were collected from 24 interviews as well as observational evidence of the FMCG distributors’ outbound logistics operations. The unit of analysis was the interaction between FMCG distributors and other agents in the logistics cluster.

FMCG distributors tend to gravitate to clusters where logistics service providers and other FMCG firms co-locate. FMCG distributors interact intensively and benefit greatly from building ties with non-competitor distributors in a cluster. Informal personal relations, collaborative activities and knowledge sharing, learning opportunities and resource availability were found to act as mechanisms for generating distribution capabilities within a logistics cluster.

This study provides practical implications for FMCG logistics and distribution managers who make distribution centre (DC) location decisions. The study provides such managers and their firms with a deeper understanding of the importance of co-locating DCs in logistics clusters, and may help them in designing their supply networks.

This is the first scholarly work to uncover the various ways in which FMCG distributors benefit from logistics clustering and explain why they may differ in performance, building on observations of their capabilities. The study provides insight from an emerging market and encourages future researchers to conduct further studies on logistics clustering in order to bring relevant theory forward.

Since the emergence of physical distribution/logistics management as an applied discipline in the early 1960s, the search for requisite skills has dominated the concerns of professionals in this new field. While there had been some earlier attempts to organise educational approaches in this field, the first real national and cohesive attempts were launched with the founding of the Annual Transportation and Logistics Educators' Conference. The enthusiasm of the participants and the heavy focus of the first conference proceedings on this issue marked a really strong inertia towards the search for, and development of, status in this field of management concern.

This special “Anbar Abstracts” issue of the International Journal of Physical Distribution & Logistics Management is split into six sections covering abstracts under the following headings: Logistics and Distribution Strategy; Supply Chain Management; IT in Logistics and Distribution; Just‐in‐time Management; Accounting for Logistics; International.

This report discusses the problem of how to organise the activities of the firm in order to achieve efficient logistics performance. In reviewing over 50 books and articles (professional and academic) published before 1975, the author identifies seven major themes, ranging from timing the establishment of logistics departments to modern theories of “matrix” organisations. The results of a survey conducted by the author in 1974 are presented, and the difficulties of developing definitive conclusions or guides to action in this area are discussed. (This report was written while the author was a graduate student at the Harvard Business School.)

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

Logistics has always been a central and essential feature of all economic activity and yet paradoxically it is only in recent years that it has come to receive serious attention from either the business or academic world. One very obvious reason for this neglect is that, whilst the functions that comprise the logistics task are individually recognised, the concept of logistics as an integrative activity in business has only really developed within the last 20 years.