Technology Forecasting of RFID by Using Bibliometric Analysis and Bass Diffusion Model

Bae, Jonghee; Seetharaman, K.; Suntharasaj, Pattharaporn; Ding, Yu

doi:10.1109/picmet.2007.4349488

Cited by 11 publications

(12 citation statements)

References 18 publications

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“…This is effectively illustrated in Fig. 5 where CFD in greenhouse simulation seems to approach some mature limit level that may indicate immanence of transfer to another or derivative technology as also referred to by Bae et al [2007]. The full field of CFD technology applications does not seem near saturation as indicated by Fig.…”

Section: Discussionmentioning

confidence: 95%

“…It is mentioned by Bae et al [2007] that Bibliometrics is essentially a process of measuring text and information. It can be used to appreciate some events that occurred in the past or even attempt to make some technology forecasts.…”

Section: Bibliometric Analysismentioning

confidence: 99%

“…It is mentioned by Bae et al [2007] that Bibliometric analysis can be usefully employed to gauge technology maturity. It is expected that in a technology growth phase the number of academic articles in the specific field of technology should also increase.…”

Section: Introductionmentioning

confidence: 99%

“…This forms the basis of Bibliometric analysis. The results of these analyses may also be effective in assessing technology trends [Bae et al (2007) ;Nieto, (2004)]. …”

Section: Introductionmentioning

confidence: 99%

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Technology Diffusion and Forecasting: The Case of Computational Fluid Dynamics (Cfd) for Simulation of Greenhouse Internal Environments

Pretorius

Benade

Kruger

2011

Int. J. Innovation Technol. Management

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-Forecasting emerging technologies as well the rate of diffusion of resultant products are complex in the context of management of technology usually because of a lack of relevant data. Techniques such as bibliometric analysis and the Bass diffusion model are utilized in this paper to assess the growth rate and market penetration of Computational Fluid Dynamics (CFD) as a technology. The penetration and growth rate of user acceptance of two CFD codes (not identified) are simulated. Furthermore a technology forecasting model of research and innovation in the field of application of CFD in the assessment of greenhouses is presented. Some CFD results of simulations for internal and external flow in an eight span greenhouse are presented as illustration of the power of CFD as technology

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Section: Discussionmentioning

confidence: 95%

Section: Bibliometric Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This forms the basis of Bibliometric analysis. The results of these analyses may also be effective in assessing technology trends [Bae et al (2007) ;Nieto, (2004)]. …”

Section: Introductionmentioning

confidence: 99%

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Technology Diffusion and Forecasting: The Case of Computational Fluid Dynamics (Cfd) for Simulation of Greenhouse Internal Environments

Pretorius

Benade

Kruger

2011

Int. J. Innovation Technol. Management

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“…Some of these competing technologies have been addressed recently in system dynamics and bibliometrics (Bae et al, 2007) as well as diffusion modelling (Kim et al, 2006;Pretorius and Winzker, 2010) research. The research presented in this paper is an extension of recent research on simulation of bridging technology dynamics and is also based on work presented previously by the authors Pretorius et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A system dynamics approach to technology interaction: From asymptotic to cyclic behaviour

Pretorius

Benade

2015

Technological Forecasting and Social Change

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This paper is an extension and elaboration of previous research on the simulation of three competing technologies that interact. A modified version of the three-technology system is investigated, and some initial system dynamics results are reported illustrating the progression from asymptotic to cyclic behaviour. Technology is considered in this research as a result of innovation, a rate-dependent process that may include several non-linearities due to interaction with the environment and social context. Using bibliometrics as a research data source is an interesting way to trace technology growth patterns very effectively. In this research, the existence of cyclic behaviour in two real life technologies is illustrated using bibliometrics. In this paper, a technology system consisting of three interacting technologies is treated and modelled in a coupled manner where the interacting dynamics is described by the Lotka-Volterra system of differential equations. The effect of interaction between the technologies and the period of cyclic behaviour is illustrated parametrically. Furthermore, the possible uncertain diffusion as well as interaction effect for two of the technologies is also addressed in this research using a Monte Carlo multivariate simulation technique and a system dynamics approach. The research method is exploratory and case based.

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Defining a Set of Metrics to Evaluate the Potential Disruptiveness of a Technology

Ganguly

Nilchiani

Farr

2010

Engineering Management Journal

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Technology Forecasting of RFID by Using Bibliometric Analysis and Bass Diffusion Model

Cited by 11 publications

References 18 publications

Technology Diffusion and Forecasting: The Case of Computational Fluid Dynamics (Cfd) for Simulation of Greenhouse Internal Environments

Technology Diffusion and Forecasting: The Case of Computational Fluid Dynamics (Cfd) for Simulation of Greenhouse Internal Environments

A system dynamics approach to technology interaction: From asymptotic to cyclic behaviour

Defining a Set of Metrics to Evaluate the Potential Disruptiveness of a Technology

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