A comparison of two composite measures of technology

Martino, Joseph P.

doi:10.1016/0040-1625(93)90024-2

Cited by 37 publications

(43 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Anderson & Tushman, 1990) Within technology cycle, technology forecasting deals with the timeline of the prospects of the technology. Martino (1993) defined four elements of a technology forecast; the technology being forecasted, the time of the forecast, a statement of the characteristics and a statement of the probability associated with the forecast. Since then, a variety of quantitative and qualitative techniques have been developed.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Different Performance Measures of Complex Product Systems in Technology Forecasting

İntepe

Koç

2015

Procedia - Social and Behavioral Sciences

View full text Add to dashboard Cite

Technology forecasting estimates the future value of characteristics and performance of a technology. Since technologies are embedded in products, different measures of these products can be used in technology forecasting. Two classes of data play a central role in technology forecasting studies. In the first class, publications and patents are commonly excepted measures as indicators of scientific and technological performance. The second class is the performance data of the "technology in use". In this second type of data, performance is usually characterized by multiple parameters in a complex product system since these product systems are the aggregates of subsystems. Technological progress obtained by these two types of datasets may show different patterns. Also each parameter of the overall system may show different pattern either. Authors claim that, in order to improve the quality of technology forecasts, both datasets should be studied. A multidimensional technology life cycle should be considered before taking managerial decisions. In this study an application of a refrigerator system has been performed to investigate the authors' claim. Three types of datasets, patents from first type of dataset; coefficient of performance (COP) and electric efficiency index (EEI) from second type of dataset are used. Different life cycles and different scenarios of the same system are obtained using growth curves as a technology forecasting tool. Findings are discussed and the proposed model of using measures in technology forecasting is explained in detail.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…Forecasting a technology means estimating the future value of some parameters which characterizes the performance of that technology and provides a timely insight of technology change (J. P. Martino, 1993;Watts & Porter, 1997). Indicators can measure these technological changes for technology forecasting studies.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Performance Measures of Complex Product Systems in Technology Forecasting

İntepe

Koç

2015

Procedia - Social and Behavioral Sciences

View full text Add to dashboard Cite

show abstract

“…Interestingly, although technometrics and scoring provide a means to monitor and assess technology and its progress, they fall short on providing a means to determine future characteristics of the products they analyze. Scoring does not allow disaggregation of the tradeoffs to determine the future characteristics of a product [68]. Technometrics, although suggesting a possible means to assess change, does not actually provide a means to do so.…”

Section: Predicting Future Characteristicsmentioning

confidence: 99%

“…Criticisms of this approach include the fact that the ellipsoid surface only has a small number of observations on its surface, and it is subject to influence from extreme outliers [68]. Additionally, like regression, it fails to take into account the correlations between the various characteristics, which may significantly distort the overall rate and extent of technical progress [89].…”

Section: Higher Technologymentioning

confidence: 99%

See 1 more Smart Citation

Technology Forecasting Using Data Envelopment Analysis

Inman¹

2000

View full text Add to dashboard Cite

Major weapons procurement: An efficiency‐based approach for the selection of fighter jets

Kweh

Nourani

et al. 2019

Manage Decis Econ

View full text Add to dashboard Cite

This study applies the epsilon-based measure method in data envelopment analysis (DEA) to evaluate processes in procuring fighter jets (FJs), which are indicative of the technology and capability of major weapons. Moreover, multidimensional scaling analysis and sensitivity analysis were included to assess the selection of FJs. The DEA analysis indicates that the overall efficiency of the sample of 26 FJs was 0.824 on average. Besides, procurers rely on price and capability to decide which FJ models to purchase. Overall, the evaluation results can be provided to procurement decision makers even in selecting other types of major weapon in a cost-effective manner.

show abstract

A comparison of two composite measures of technology

Cited by 37 publications

References 3 publications

Comparison of Different Performance Measures of Complex Product Systems in Technology Forecasting

Comparison of Different Performance Measures of Complex Product Systems in Technology Forecasting

Technology Forecasting Using Data Envelopment Analysis

Major weapons procurement: An efficiency‐based approach for the selection of fighter jets

Contact Info

Product

Resources

About