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Probes affluent investor mutual fund investment decisions. Develops several different investor profiles from data on approximately 300 affluent investors. These investor types differ in sources of information regarding mutual fund investments, particularly the use of financial advisers, and in the selection criteria employed for mutual fund purchases. In addition, they have distinguishable mutual fund behaviour and demographic characteristics. Develops specific implications for financial services firms.

Reports the minutes of the winter meeting of the OCLC Users Councils, January 23‐25, 1995, which focussed on “The NII, the Internet, and OCLC: The Next Generation”. Speakers talked about Freenets, the effects of current federal legislation on the development of a national information infrastructure (NII) for an information highway, and how librarians need to influence public policy making to remain key players in the development of the National Internet Infrastructure.

Learning object developers need to understand that presently there are powerful organizations of “intellectual property” owners, and vendors of music, videos, books and software that are making a concerted attack on copyright, attempting to convert it from a law to promote knowledge and the useful arts into a mechanism to protect and serve their special interests. This paper represents an attempt to overturn the misconception that copyright is simply about protecting the rights of authors and re‐introduce an understanding of the original foundational role of copyright in “promoting science and the useful arts” and inform U.S. and international readers of the concerted assault on our “fair use” copy rights as educators in the digital environment. The paper argues for the need to put an end to the “quasicopyright” laws that have severely curtailed the traditional rights of educational institutions and passed on responsibilities that previously were the purview of the copyright owners. It calls for a restoration of the balance returning copyright to its original educational focus.

A national multi‐gigabit‐per‐second research and education network known as the National Research and Education Network is to be established by 1996, according to the High‐Performance Computing Act of 1991 (P.L. 102–194) passed in December 1991. Commonly known as the NREN and referred to as the “information highway,” this electronic network is expected to provide scientific, educational, and economic benefits for the United States and to serve as the basis for an all‐encompassing National Information Infrastructure available to all citizens. The idea of the NREN began in the late 1960s in the Department of Defense and its Defense Advanced Research Projects Agency (DARPA) with the development of ARPANet, the first packet‐switching network. This evolved into the Internet, or Interim NREN, after the National Science Foundation (NSF) linked its national supercomputing centers with the NSFNet. The NSFNet is to be the technological backbone for the NREN, which will continue the networking begun by the Internet. Initially, the NREN is intended to interconnect researchers and resources of research institutions, educational institutions, industry, and government in every state.

Work experience is increasingly seen as an important complement to traditional higher education. There are a variety of forms of these educational programs, such as internships, sandwich programs, field work, and cooperative education, that are referred to generically as Work-Integrated Learning (WIL). As yet, however, there is relatively little research on the concept of work experience and considerable inconsistency in its definition and measurement. This chapter describes some of the research and writing from the industrial and organizational psychology field and its relevance to WIL. Based on the previous work, a model of work experience, specifically developed to aid our understanding of the role of work experience in WIL, is proposed. Three dimensions are suggested: level of specificity (task, job, organization, and career), measurement mode (number, time, relation to program, density, timing, and type), and version of WIL (cooperative education, sandwich, etc.). The model also includes individual factors and contextual factors as influences on work experience. Both immediate and secondary outcomes are described. Finally, the applicability of the model to several examples of WIL research are discussed and suggestions for future research are offered.

This paper aims to elucidate some of the complexity around food consumption by drawing from neuroscience research of food as a motivated choice (i.e. a neurobehavioral process sensitive to dopaminergic response to food and environmental cues such as marketing). The authors explore the single and compounded effect of the motivational salience of food’s intrinsic reinforcing value tied to its sugar content and that of two marketing food cues, price and in-store display, on actual consumer purchase behavior.

The authors test the above hypotheses in two perceived “healthy” product categories with a wide distribution of sugar content. The authors estimate a within-category model using three years of retail transaction data to test the effect on weekly sales.

The authors confirm the single effect of each of food’s and marketing cues’ motivational salience as well as their compounded effect with high-motivational-salience food being less price elastic and more susceptible to in-store display activities.

This research highlights the need to complement current reliance on unhealthy/healthy perception with finer grained objective evidence linked to the formulation of the food itself and the marketing applied to them.

The present study findings may help marketing managers and policymakers develop better targeted pricing and display strategies for low- and high-motivational-salience food, attempting to strike a better balance between consumer welfare and commercial performance.

This paper is one of the few that links real-world market outcomes to predictions derived from a unique combination of consumer neuroscience and neurobiology of food, advancing data-driven decisions.