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Investigates empirically the importance of buyer characteristics as well as product and service classifications on the informational content of advertising supply by sellers utilizing Yellow Pages advertisements from six US cities. The analysis and tests extend the categories used in previous tests by including so‐called “credence goods” by analysing the impact of alternative buyer characteristics as proxies for time and information costs. The intra‐city and, to a lesser extent, inter‐city comparisons lend support to the contemporary theory of advertising as information.

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.

This paper aims to explore the way in which informational asymmetries between the two parties to a contract for the sale of goods are dealt with under two legal regimes designed for transnational sales contracts: the UN Convention on the International Sale of Goods (CISG) and the proposed Common European Sales Law (CESL).

Having considered the different types of informational asymmetry that can exist in a contract of sale, the paper undertakes a doctrinal legal analysis of the relevant provisions first in the CESL and then the CISG to identify what, if anything, has been done to deal with informational asymmetries. The paper primarily exposes and analyses these rules and compares the approaches taken under both legal regimes.

The CESL has a more detailed set of rules which address informational asymmetries. This might be because the genesis and context of the CESL (being limited to the EU) might make it easier to agree on more extensive rules. However, the CESL has not yet been adopted.

A seller in a contract of sale governed by CESL will be subject to more detailed (and onerous) requirements when it comes to the disclosure of information.

This is a first attempt to compare the treatment of informational asymmetries under the CISG and CESL, and will be of interest to scholars of both transnational and EU private law.

The purpose of this paper is to show that information goods allow new forms of second degree price discrimination because of their economic special features. In addition, it shall be explained why it makes economical sense for information providers to make offers free of charge, and how price discrimination can assist them thereby.

This paper is a literature‐based and practical/analytical depiction, showing in which context the three price discrimination forms have developed and how they are effectively applied.

Windowing, versioning, and bundling are very effective strategies of price discrimination for information goods. This can be illustrated through various application examples. With the division of information content and media carriers a clear distinction between windowing, versioning, and bundling is achieved.

Information providers receive support for the design of their pricing policy. It is obvious, that with the aid of the depicted price discrimination variants, both market penetration with cost free offers and the generation of revenues from product sales can be aimed for.

What is new about the paper is the first time comparative portrayal of three recent second degree price discrimination forms and their application to information goods.

E‐businesses using enterprise resource planning systems as the information infrastructure generate a tremendous amount of information, including information about customers, suppliers, markets, transaction costs, the prices at which products are bought and sold, and order‐fulfillment rates, etc. To turn the information contained in these systems into marketable information goods would be a key to gaining a competitive advantage and optimizing market exchange efficiencies. Treating involved organizations as an end‐to‐end network and applying an economic analysis, five propositions are developed to capture this value‐added process. Conditions for market equilibriums are specified.

Recent decades have witnessed an explosion in the quantity of information being produced, which in turn has created vast opportunities for information‐based businesses. The time has come for information to be treated as a unique product along ‐ side goods and services. But is information an intangible good or an imperishable service? In this paper we discuss the unique properties of information as a product and propose that information be distinguished conceptually and thus marketed differently from both goods and services. We offer recommendations for marketing practice that apply uniquely to information. Finally, implications for marketing theory, marketing research, and directions for future research into the marketing of information are presented.

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.

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.

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.

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 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.

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.

Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores.

This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores.

What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution.

The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively.

This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises.

The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness.

This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.

The purpose of this paper is to study the use of online recommendation systems on e‐commerce sites is which becoming more common as marketers recognize their potential to improve their own operations as well as consumers' shopping experiences. Since some consumers question the credibility of these systems, this study compares responses to such systems (classified based on their source into seller and third party systems) with responses to recommendations coming directly from other consumers. The latter may also be better suited for consumers today since many of them utilize direct information from social media on a daily basis. Past research indicates that reactions to such recommendations may depend on the types of goods they describe and therefore this study also tests whether consumer responses vary with types of goods. The study examines consumer reactions to recommendations designed for search, experience, and credence goods. Finally, this study also explores the most desired features of recommendations to help marketers come up with the most effective recommendations that help facilitate purchasing decisions.

The study surveys a convenience sample of 202 undergraduate students to test these objectives. It was a 3 (product types) by 3 (recommendation types) factorial design with multiple dependent variables and three covariates.

The study reveals that, irrespective of the product type, consumers react differently to the three types of recommendations that are tested. This study shows that consumers have the most positive attitudes and most frequently utilize recommendations coming directly from other consumer. This suggests that more attention should be directed to these recommendations in marketing theory and practice. Consumers also hold more positive attitudes towards third‐party recommendation systems than recommendation systems coming from the seller. They also have more positive reactions toward recommendations designed for search and experience goods rather than credence products. Finally, the study also examines the usefulness of different characteristics of these recommendations to help online managers develop most effective recommendations online and finds that it varies with different types of recommendations and products for which recommendations are used.

In addition to the recommendation systems that have been explored in the past (seller and third party systems), the study examines reactions to recommendations coming directly from other consumers, as these recommendations may be better suited for today's audiences. The study shows which recommendation type is best received and most frequently used online. It also tests reactions to recommendations designed for different types of goods. This study includes credence goods, in addition to search and experience products, since consumer reactions to recommendations designed for credence goods have not been yet explored in the past research. It also found that recommendations are better received for goods with a higher number of search features. Finally, the study explores the specific features of different recommendation types and based on the findings proposes how these online recommendations should be structured to be most effective.