A methodology for selecting a green technology portfolio based on synergy

Li, Congbo; Liu, Fei; Tan, Xianjun; Du, Yanbin

doi:10.1080/00207540903382857

Cited by 39 publications

(20 citation statements)

References 27 publications

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“…A method for identifying most applicable Web services and analysing potential synergy between commercial and governmental Web services is suggested [20], but they have focused on service composition by observing input, output and information communication traces. Li et al [21] suggests a methodology for selecting a green technology portfolio in which the synergy coefficients are formulated based on a preference elicitation analytic network process (ANP) technique that results in a rank order rather than clusters of the portfolio alternatives.…”

Section: Functionalities Services and Synergiesmentioning

confidence: 99%

Exploring synergy relationships between telematic services and functionalities using cluster analysis

Mbiydzenyuy¹,

Persson²,

Davidsson³

2015

IET Intelligent Transport Systems

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Section: Functionalities Services and Synergiesmentioning

confidence: 99%

Exploring synergy relationships between telematic services and functionalities using cluster analysis

Mbiydzenyuy¹,

Persson²,

Davidsson³

2015

IET Intelligent Transport Systems

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“…However, assessing environmental performance covering, for example, resource depletion, recycling or re-use requires large data sets and adequate support can be beyond the resources of SMEs (Zackrisson et al 2008;Li et al 2010). Such shortfalls in accurate and reliable data could compromise the quality of the assessment (Wee and Chung 2009;Wiedmann et al 2011).…”

Section: Introductionmentioning

confidence: 97%

Environmental appraisal of green production systems: Challenges faced by small companies using life cycle assessment

Heidrich

Tiwary

2013

International Journal of Production Research

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This paper presents a snapshot of key challenges encountered by small and medium-sized enterprises (SMEs) devoted to green production systems acting on the call to substantiate their environmental claims. It highlights the overriding barriers of SMEs to meeting the standards for conducting credible product life cycle assessment (LCA), in terms of accessibility to customised data and epistemological limitations. This is illustrated using a real-world example describing the material and process flows for a recycling company. We demonstrate that the rigour towards compiling large (and in some cases nested) data sets, involving expert know-how and adequate representation of system boundary can pose operational barriers. This is underpinned by complications of conducting green production and process-based LCA, deemed essential in ascertaining product and process sustainability. Finally, the paper discusses issues highlighted by the case study and provides useful directions for production researchers, SMEs and consultants.

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“…Yu (2007), in his book, entitled "Technology Portfolio Planning and Management", developed a linear singleperiod model under uncertainty conditions which incorporated the limit of the budget, employee's time, and managerial time in the model. By considering enterprise economic and environmental benefits and the synergies among different technologies, Li et al (2010) proposed a methodology to select a green technology portfolio. They used the AHP method to calculate the weights of enterprise benefits and the ANP method to assess the synergies among the different types of technologies.…”

Section: Introductionmentioning

confidence: 99%

A technology portfolio optimization model considering staged financing and moratorium period under uncertainty

Shaverdi

Yaghoubi

2021

RAIRO-Oper. Res.

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Technology commercialization needs a large amount of financial resources and governments in developed and developing countries play a critical role in resource allocation to the technology commercialization, especially through “Technology Development Funds (TDFs)”. But, because of resource limitations, determining high priority technologies with higher impact on the country’s innovative performance and the optimal resource allocation to technology development is very important for science and technology policymakers. “Technology portfolio planning” has been developed and applied in this regard. Accordingly, a two-phase decision-making framework has been proposed. At the first phase, the priorities of technology fields are determined by using the best-worst method (BWM) and at the second phase, a two-stage stochastic technology portfolio planning model is developed by considering technological projects' risks and export market, as one of the important factor in the “Global Innovation Index” (GII) ranking. It also has been considered technology fields’ priorities, staged-financing, moratorium period, reinvestment strategy, and technology readiness levels (TRL) in allocating financial resources to technological projects. The main advantages of our proposed model are considering uncertainty and early signaling about underperforming technological projects. Due to the uncertain nature of the problem, our solution methodology is based on the Sample Average Approximation (SAA). In order to demonstrate the applicability of this model, a real case study and its computational results are presented.

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A methodology for selecting a green technology portfolio based on synergy

Cited by 39 publications

References 27 publications

Exploring synergy relationships between telematic services and functionalities using cluster analysis

Exploring synergy relationships between telematic services and functionalities using cluster analysis

Environmental appraisal of green production systems: Challenges faced by small companies using life cycle assessment

A technology portfolio optimization model considering staged financing and moratorium period under uncertainty

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