A Framework for Valuation and Prioritization of Patents Using a Combined MADM Approach. Case Study: Nanotechnology

Dahooie, Jalil Heidary; Mohammadi, Narges; Mohammadi, Mehdi; Shahmohammadi, Parisa; Turkis, Zenonas; Šaparauskas, Jonas

doi:10.15240/tul/001/2019-3-007

Cited by 2 publications

(3 citation statements)

References 41 publications

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“…The most important advantage of this method, compared to other similar methods, is its ability to evaluate the accuracy of opinions of the experts on weighted indicators during its process (Keršulienė et al , 2010). In addition, experts can consult each other and this consultation will make the results more accurate than other multiple-criteria decision-making methods (Dahooie et al , 2019; Dehnavi et al , 2015). The weighting steps using the SWARA method are shown in Figure 2 (Keršulienė et al , 2010).…”

Section: Methodsmentioning

confidence: 99%

“…This is because several contradictory quantitative and quantitative factors influence the success of a technology transfer project. Therefore, researchers have found that the use of multi-attribute decision-making approaches increases the accuracy and quality of decision-making in this area (Dahooie et al , 2019; Sadeghi et al , 2012; Singh and Rathi, 2020). Multi-attribute decision-making approaches, taking into account different dimensions, as well as the importance and impact of each dimension for decision-makers, prioritize each critical success factor.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid approach for identifying and prioritizing critical success factors in technology transfer projects (case study: diesel locomotive manufacturing)

Mohammadi

Dahooie

Khajevand

2021

JEDT

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Purpose With the rapid advancement of technology, companies use new technologies to produce their products and services to maintain a competitive advantage. As companies alone cannot research and develop their technologies, they should use knowledge sources outside the organization that may exist throughout the world; hence, organizations need technology transfer. Because the success rate of technology transfer projects is low, the need to accurately assess and investigate the critical success factors of technology transfer projects is felt. In this regard, this study aims to identify and prioritize the critical success factors in technology transfer projects. Design/methodology/approach In this research, 56 critical success factor (CSF) were extracted from the context of the articles and were adjusted using experts’ opinions in different phases, as well as the fuzzy-Delphi approach. Finally, 15 factors were categorized in the form of steps of the technology transfer model: STAGE-GATE. In the next step, the set of criteria needed to prioritize CFSs was extracted from the literature and finalized with the help of the experts. Then, how each of the CSF influences the identified criteria was scored according to the organization’s export opinions. Finally, the priority of each key success factor was calculated using the additive ratio assessment (ARAS) method. Findings The results obtained for prioritization of the critical success factors show that experience in technology transfer in the transferee company, the existence of experienced technology transfer managers, sufficient organizational infrastructure and documenting project problems, achievements and experiences are four critical success factors of the technology transfer projects. Considering the long-term and short-term specific goals of the technology transfer process and the choice of technology in line with the company’s commercial strategy are also the critical success factors with the next priorities. Originality/value The combination of ARAS and step-wise weight assessment ratio analysis methods for identifying and prioritizing managerial decisions in the high-tech industries is a value of this research. Also, a combination of novel multi-attribute decision-making methods by the older framework of new product development is another contribution of this research.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A hybrid approach for identifying and prioritizing critical success factors in technology transfer projects (case study: diesel locomotive manufacturing)

Mohammadi

Dahooie

Khajevand

2021

JEDT

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“…Project valuation and prioritization is one of the main pillars for managing intellectual properties in an organization. Numerous efforts have so far been made to determine the values of projects, some of which were not effective because they either ignored some influential factors or considered the same level of significance for all dimensions (Heidary Dahooie et al, 2019). Jin et al (2019) presented a multi-period and tri-objective portfolio optimization problem, in which asset returns were formalized as uncertain variables.…”

Section: Project Portfolio Selectionmentioning

confidence: 99%

Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach

Zarjou

Khalilzadeh²

2021

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PurposeThis study aims to develop a model for project portfolio selection considering organizational goals such as budgets, sustainability cash flow and reinvestment strategy under an uncertain environment.Design/methodology/approachA multi-objective mathematical programming model is proposed for project selection, which takes the social, environmental and financial aspects into account as the objectives of the project portfolio selection problem. The project evaluation and selection process in one of the large capitals in the Middle East with numerous urban construction projects was considered as a real case study, in which the subjects of environmental and social sustainability are of great importance. Then, the most significant criteria for project evaluation and selection based on sustainability were identified and ranked using the fuzzy best-worst method (BWM).FindingsThe criterion of “defining clear and real objectives” was ranked first, “project investment return period” was ranked second, “minimum changes in the predicted range” was ranked third, and the other ten sustainability indicators were ranked as well. Next, the presented mathematical programming model was solved using the augmented e-constraint method. The sensitivity analysis indicated that increasing the amount of investments in projects would increase their net present value. Also, increased investment had no effect on sustainability, while decreased investment caused sustainability to not being optimal.Originality/valueThis study focuses on the impact of the amount of investments on projects, and the associated costs of sustainable projects. Further to the authors' knowledge, there has been no relevant study taking uncertainty into account. Also, very few studies proposed a mathematical programming model for the project portfolio selection problem. Moreover, this research uses the brainstorming and Delphi method to identify the sustainability indicators influencing the organization and screens the evaluation indicators. Furthermore, the weights of the evaluation indicators are determined using the fuzzy BWM based on the consistency of opinions.

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A Framework for Valuation and Prioritization of Patents Using a Combined MADM Approach. Case Study: Nanotechnology

Abstract: a frameWork for valuaTion and prioriTizaTion of paTenTs using a combined madm approach. case sTudy: nanoTechnology

Cited by 2 publications

References 41 publications

A hybrid approach for identifying and prioritizing critical success factors in technology transfer projects (case study: diesel locomotive manufacturing)

A hybrid approach for identifying and prioritizing critical success factors in technology transfer projects (case study: diesel locomotive manufacturing)

Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach

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