The technology adoption life cycle attractor: Understanding the dynamics of high-tech markets

Unlike more stable industries, high-tech firms must constantly be in a strategy development phase. These companies are in desperate need of assistance in strategy formulation. This paper introduces a quantitative (rather than subjective) approach to help high-tech firms to understand their position in the technology adoption life cycle using some of the principles and tools of Chaos and Complexity theories. This approach is demonstrated by using data sets of three case studies in the hard drive, microprocessor, and server high-tech industries.     

FORECASTING SAWNTIMBER CONSUMPTION: THE APPLICATION OF AN END-USE MODEL*

A multi-equation end-use model is used to analyse the consumption of sawn-timber in Australia. The forecasting ability of the model is evaluated. Simulations of the model are reported and implications for policy are discussed.     

Standardized Performance Analysis: An Application to the Texas High Plains

The Standardized Performance Analysis method was used to complete a whole-farm financial analysis and crop enterprise financial and production analysis of a farming operation in the Texas High Plains for three years of crop production. The Standardized Performance Analysis procedure is described and illustrated for an individual farming operation in addition to a regional level analysis.     

PRICE EXPECTATIONS FORMATION AND REVISION IN THE NERLOVIAN FRAMEWORK WITH APPLICATION TO NIGERIAN FARMERS

This paper examines the possibility of endogenising the adaptive price expectations coefficient. The basic structural model, tested with data on area planted to Groundnuts in Nigeria from 1956 to 1987, is formulated and estimated as an extension of the variational parameter hypothesis.     

Knowledge Creation in Strategic Alliances: Another Look at Organizational Learning

This paper argues that a certain amount of partner conflict must exist for knowledge creation to occur in a strategic alliance. We argue that such tensions can generate opportunities for firms to challenges each other's assumptions and paradigms, leading to novel perspective and new solutions. This position is contrasted to existing theories that present conflict minimization as the route to alliance success. The paper exploits the generative or double-loop learning process (Liedtka et al. 1997; Argyris and Schon 1996) to build a model of inter-organizational knowledge creation and explicitly considers the implications for partner interactions. We suggest that knowledge creation often occurs in turbulent and discontinuous environments associated with the tension between alliance partners of different cultural origins. This paradox is critical to understanding the reasons why strategic alliances often fall short in their potential to create new knowledge.