Social Capital and the Terms of Trade for Farmland

Social capital is a person or group's sympathy for or sense of obligation to another person or group. This article introduces social capital into a neoclassical model of farmland exchange and shows how relationships alter the terms of trade. Empirical evidence from a survey of farmers shows that the type of relationship farmland sellers have with farmland buyers has a statistically significant and economically important effect on the minimum-sell price for farmland. Compared to the minimum-sell price when selling to a total stranger in an arm's-length transaction, farmland sellers discount prices to friendly neighbors and relatives and require a premium from unfriendly neighbors and influential people in the community.     

Hierarchical Arrow Social Welfare Functions

Supported by SNF Grant No: DMS 8803556.     

Japanese/U.S. technological competitiveness and strategic alliances in the biotechnology industry

This paper analyzes the reasons for Japanese/U.S. collaborations in the biotechnology industry, and considers the question of whether such alliances pose a threat to the North American industry. Japan's technological competitiveness in biotechnology is examined in terms of its strengths and perceived weaknesses. Ways in which Japan is attempting to overcome these weaknesses are identified. As well, the strengths and weaknesses of the North American biotechnology industry are assessed. The paper concludes with recommendations for government and R&D managers on how to preserve U.S. competitiveness. R&D managers must keep abreast of their techno-global competitive environments. While organizations can enter into alliances to improve their competitiveness they must be aware of the dangers of collaboration, and to benefit from their alliances they must enhance their organizational learning. Organizations must be aware of the pitfalls of alliance formation, and any alliance must be viewed in its national context. Last, but not least, managers must be more effective in their management of the processes of technological innovation.     

The Nested PIGLOG Model: An Application to U.S. Food Demand

A new demand system is introduced, the Nested PIGLOG model, nesting thirteen other demand systems including five that are also new. This new model and its nested special cases are applied to models of U.S. food demand that include food-at-home (FAH), food-away-from-home (FAFH), and alcoholic beverages. Although nested tests and out-of-sample forecasting performance favor generalizing models to a certain degree, statistically insignificant improvements to in-sample-fit and even poorer out-of-sample forecast accuracy undermine further generalizations. Based on a subset of preferred models, FAFH is found to be price and income elastic compared to FAH which is price and income inelastic.     

Pricing continuously sampled Asian options with perturbation method

This article explores the price of continuously sampled Asian options. For geometric Asian options, we present pricing formulas for both backward‐starting and forward‐starting cases. For arithmetic Asian options, we demonstrate that the governing partial differential equation (PDE) cannot be transformed into a heat equation with constant coefficients; therefore, these options do not have a closed‐form solution of the Black–Scholes type, that is, the solution is not given in terms of the cumulative normal distribution function. We then solve the PDE with a perturbation method and obtain an analytical solution in a series form. Numerical results show that as compared with Zhang's ( 2001 ) highly accurate numerical results, the series converges very quickly and gives a good approximate value that is more accurate than any other approximate method in the literature, at least for the options tested in this article. Graphical results determine that the solution converges globally very quickly especially near the origin, which is the area in which most of the traded Asian options fall. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:535–560, 2003     

B‐TO‐B E‐COMMERCE: A CONTENT ANALYTICAL ASSESSMENT OF MOTOR CARRIER WEBSITES

An Internet presence is a critical early component in the process of building towards a fully operational and unified e‐commerce strategy. E‐commerce has significantly impacted logistics/supply chain strategies and the development and implementation of a website have become key issues for many firms within the transportation industry. This study provides an overview of website content within the motor carrier industry. Content analysis was used to assess the site design, informational content, and the interactive content of 152 motor carrier websites, and to compare the features offered on the Top 100 motor carrier firm websites with those offered on the sites of smaller carrier firms.     

Does brand name imprinting in memory increase brand information retention?

This article introduces and explores the concept of brand name imprinting. Brand name imprinting is the process of creating and strengthening the brand name node in the brand memory network through brand name exposure. Brand name imprinting at a time prior to the presentation of specific brand information is posited to improve the retention of that information by strengthening the association between the brand name and brand information. The effect is proposed to be automatic and independent of other known means to strengthen memory associations (e.g., level of attention, cognitive elaboration, stimuli vividness, and stimuli distinctiveness). This research also proposes that brand names with neutral meaning better facilitate the imprinting effect, because they do not carry perceptual baggage that can interfere with the creation of new brand name–information associations. An experiment involving brand name imprinting and the learning of brand information supports these assertions. Implications for communication strategy and brand name selection are discussed. © 2003 Wiley Periodicals, Inc.