A functions approach to improve sectoral technology roadmaps

Haddad, Carolina Resende; Maldonado, Maurício Uriona

doi:10.1016/j.techfore.2016.08.006

Cited by 21 publications

(9 citation statements)

References 39 publications

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“…Additionally researchers have mentioned the vital role of the demand and market in the SIS approach (Dolata, 2009). Haddad and Maldonado (2016) in their study have proposed the use of the "functions of ISs" layers within sectoral roadmaps, with the purpose of directing decision-making and policymaking efforts towards the functions. They provide the case study of a sectoral roadmap exercise aiming at establishing a non-existing automotive sector by means of integrating the "functions approach" with the road mapping process.…”

Section: Introductionmentioning

confidence: 99%

Modeling the dynamics of technological innovation system in the oil and gas sector

Azad

Ghodsypour

2017

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Purpose The purpose of this paper is to model the relationship between “innovation systems” players and markets to indicate the “innovation functions” behavior during the petrochemical technology life cycle. Design/methodology/approach In a general classification, innovation systems are divided into four categories: technical, sectoral, regional and national. If two approaches are hybrid, their benefits would be combined. According to the sectoral structure of the governance model in Iran, in many sectors, such as petrochemical technology, the combination of one another with a sectoral approach is essential. Hence, this paper has introduced a new hybrid approach, called a techno-sectoral innovation system, and has used system dynamics as a methodology and a petrochemical industry as a case study. Findings The results predict the functions state of the innovation system and detect activation of innovation motors in each stage of innovation life cycle. Validation is investigated using Monte Carlo simulation that shows the error of the indices is acceptable. It can be concluded that the model is relatively in a development state and the motor of entrepreneurship functions. Originality/value This case-based model can help other researchers, as a generic model. It could be customized with the input parameters and relational flows of new cases, and functions (F1-F7) can show the result of each scenario made by the innovation analyst and the policymaker.

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Section: Introductionmentioning

confidence: 99%

Modeling the dynamics of technological innovation system in the oil and gas sector

Azad

Ghodsypour

2017

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“…Connecting scenarios to the operational abilities of robust planning can address this deficiency (Sadaghiani et al , 2014). Although scenarios are useful to build a complete outline for the community to realize the future picture without many technical details and the requirement to engage in the scenario analysis, robust planning can be done to obtain, form and control knowledge to reduce complexity in the foresight by suggesting robust strategies (Cho et al , 2016; de Alcantara and Martens, 2019; Haddad and Maldonado, 2017; Maresch and Gartner, 2018).…”

Section: Methodsmentioning

confidence: 99%

Stay competitive in 2035: a scenario-based method to foresight in the design and manufacturing industry

Alizadeh

Soltanisehat

2020

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Purpose The purpose of this paper is to envision the alternative futures of the design and manufacturing industry using an integrated foresight method based on scenario planning. Also, the authors aim at developing robust strategies for an enterprise that aims to be placed as a leading high-tech international design and manufacturing company in 2035. Design/methodology/approach The proposed approach is created by integrating several foresight methods such as Delphi, scenario planning, MICMAC and cross-impact analysis. Findings Automation and sustainable development are found as the fundamental driving forces in the design and manufacturing industry. Four scenarios based on these driving forces and expert knowledge are created: innovation adaptation, forced automation (business-as-usual), sustainable era and automationless scenarios. For the developed scenarios, a set of strategies are proposed by asking experts about the strategies which can be taken to make the enterprise competitive in all developed scenarios in 2035. The main macro-level outcome is that economic and technological drivers will be the most important factors for design and manufacturing, followed by environmental and social factors. Originality/value The proposed method uses the strengths of traditional scenario planning but overcomes its weaknesses by suggesting a systematic process for scenario building and easy application.

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“…Their model used both market dynamics and technical aspects of raw material processing. Haddad and Maldonado (2016) have analyzed the roadmap approach in a sectoral level for the automotive industry to develop future-oriented analysis (FTA). TIS functions have been used as motivators of the sectoral level of the roadmap in this research.…”

Section: Sectoral Innovation System (Sis)mentioning

confidence: 99%

Modelling techno-sectoral innovation system

Azad

Khodabakhsh

Roshannafas

et al. 2019

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Purpose This study aims to scrutiny the performance of the petrochemical sector and the technological innovation life cycle. Also, the stage of the innovation life cycle for the sector is specified. Then, scenarios are designed to improve the speed of the sector development. For this reason, for synchronizing the petrochemical sector, this study tries to combine two innovation systems (technological and sectoral systems) called “techno-sectoral innovation system” under an integrated model. Furthermore, the “functions and driving motors” are expanded in the proposed model. Design/methodology/approach By combining two concepts of the innovation systems, the complexity of the system rises to some extent. Also, to model causal relationships in the sector and non-linear connections between variables, system dynamics approach is applied. During this phase, the flow diagram of the model is translated to a simulation programme using Vensim software. Model validation is investigated using a comparison of the actual with simulated values. Findings The results predict the functions state of the innovation system and detect activation of innovation motors in each stage of the innovation life cycle. Validation shows the acceptable error of the indices. It can be concluded that the sector is relatively in the development state. Four scenarios have been proposed for representing policies that sector uses to motivate its companies. The best scenario is the fourth one that divides resources with different weightings among companies to accelerate switching time between sector’s motors. Finally, the fourth scenario can improve the performance of the petrochemical. Originality/value The hybrid approach shows researchers that performance of an industry can be improved based on sectoral and technological at the same time. Thus, this case-based model can contribute to other researchers, as a base model. Also, it could be customized with parameters and the relationship between players and functions. Furthermore, a dynamic switch among the motors has been presented in the model.

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A functions approach to improve sectoral technology roadmaps

Cited by 21 publications

References 39 publications

Modeling the dynamics of technological innovation system in the oil and gas sector

Modeling the dynamics of technological innovation system in the oil and gas sector

Stay competitive in 2035: a scenario-based method to foresight in the design and manufacturing industry

Modelling techno-sectoral innovation system

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