Practical methods of tracking of nonstationary time series applied to real-world data

In this paper, we discuss some practical implications for implementing adaptable network algorithms applied to non-stationary time series problems. Two real world data sets, containing electricity load demands and foreign exchange market prices, are used to test several different methods, ranging from linear models with fixed parameters, to non-linear models which adapt both parameters and model order on-line. Training with the extended Kalman filter, we demonstrate that the dynamic model-order increment procedure of the resource allocating RBF network (RAN) is highly sensitive to the parameters of the novelty criterion. We investigate the use of system noise for increasing the plasticity of the Kalman filter training algorithm, and discuss the consequences for on-line model order selection. The results of our experiments show that there are advantages to be gained in tracking real world non-stationary data through the use of more complex adaptive models.

Tracking and updating academic research in selling and sales management:a decade later

This study examines the state of academic research in selling and sales management (S&SM) from the years 2003-7, ten years after the data collected by Moncrief, Marshall, and Watkins (2000). Sales articles are reviewed that appeared in 19 marketing journals and evidence is provided on the state of the S&SM discipline by comparing the number of authors, authorships, and publications versus a comparable five-year period a decade ago. Of interest are the universities that produce and employ faculty in S&SM and to identify those schools and geographic regions that are publishing the majority of articles. Publication distribution trends across journals are also examined. A dramatic increase in non-U.S. authors and authorships is noted versus the prior study. Overall, the findings indicate that, perhaps contrary to some popular misconceptions, the state of S&SM research is healthy, vibrant, and evolving.

Tracking the trends in manufacturing technology management

Purpose – This Editorial Viewpoint explores the practical developments in manufacturing technology management (MTM) over the last 22 years and links these to some of the subject trends of previous articles in JMTM. Design/methodology/approach – Themes and relevant articles have been identified from the Emerald advanced search facility and linked with developments in hard technologies, information technology and production organisation. Findings – There are numerous examples of where trends in the real world of MTM are reflected in changes to the orientation of JMTM articles, but there are still many articles following more well-worn paths of previous academic research. Research limitations/implications – Evidence for the findings is only from a small sample of articles identified in one journal. Practical implications – Over time, practitioners can find useful connections between published research and their own emerging areas of concern. Originality/value – The paper is based on original bibliographic research, supplemented by extensive editorial and practical experience.