This paper is a survey of publications on artificial neural networks published in business journals for the period ending July 1996. Its purpose is to identify and analyze trends in neural network research during that period. This paper shows which topics have been heavily researched, when these topics were researched, and how that research has changed over time. Findings indicated a total of 537 articles related to neural networks in the ABI/Inform database. Eighty-nine percent of these articles were published since 1990. A majority of these papers were classified as theoretical, closely followed by articles on applications of neural networks. Only nine percent of the articles were empirical in nature. Until 1993 there was an exponential trend in the number of articles published followed by a stagnant growth thereafter. Finance topped the list in the number of articles published followed by engineering. Among the business areas, accounting had the least number of articles with a few business areas such as insurance and human resources untouched by neural networks. (Author/AEF)