In this paper, I develop a regression-based system of labor productivity equations which account for capital-embodied technological change and I incorporate this system into IDLIFT, a structural, macroeconomic input-output model of the U.S. economy. Builders of regressionbased forecasting models have long had difficulty finding labor productivity equations that exhibit the “Solowian” property t...

Available online 28 August 2014 In today's era of globalization, periodically new products with better value and added features are introduced into themarket. The rapid technological breakthroughs are creating significant risks of obsolescence at the product level. It creates enormous challenges to coordinate between technologymanagement and inventory control policies. Due to the dynamic nature...

Forecasting customers’ responses and market competitions is essential before launching major technological changes in product design. In this research, we present a data-driven network analysis approach to understand the interactions among technologies, products, and customers. Such an approach provides a quantitative assessment of the impact of technological changes on customers’ co-considerat...

Studies within the detection of technological trajectories and technology forecasting tend traditionally to rely on patent or bibliometric data. The main drawback of these invention-focused approaches is their inability to account for many mainly non-technical factors related to the social and institutional framing of technology. Value driven policies, technological and institutional path depen...

Makers of heavy-duty diesel engines (HDDEs) need to reduce their inventory of old-generation products in preparation for the demand for next-generation products that satisfy new emission regulations. In this paper, a new demand forecasting model is proposed to reflect special conditions raised by the technological generational shift owing to new emission regulation enforcement. In addition, sen...

Forecasting Support Systems (FSSs) are designed to facilitate the performance of the organization’s forecasters and planners. An FSS always includes a set of statistical methods but also can provide (a) support for management judgment and adjustments (b) procedures for storing, retrieving and presenting information and (c) an intuitive user interface. In this article, Fotios Petropoulos, Foresi...

This study deals with the dynamic sales behavior of successive generations of high-technology products. New technologies diffuse through a population of potential buyers over time. Therefore, diffusion theory models are related to this demand growtfi. Furthermore, successive generations of a technology compete with earlier ones, and that behavior is the subject of models of technological substi...

Since its conception and development in the late 1940’s by Fritz Zwicky at the California Institute of Technology (Caltech), the “morphological approach” – or General Morphological Analysis (GMA) – has been applied to many diverse areas of study, from engineering design and technological forecasting to policy analysis, organisational development and creative writing. This article outlines the n...

It is important for executives to predict the future trends. Otherwise, their companies cannot make profitable decisions and investments. The Bass diffusion model can describe the empirical adoption curve for new products and technological innovations. The Grey model provides shortterm forecasts using four data points. This study develops a combined model based on the rolling Grey model RGM and...