Training of New Formation Engineering Pedagogical Personnel to Implement the Industrial and Innovation Policy of Kazakhstan

Жетесова, Г.С.; Ибатов, М. К.; Смирнова, Галина; Ударцева, Светлана; Jantassova, Damira; Shebalina, Olga

doi:10.1007/978-3-030-11935-5_90

Cited by 2 publications

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“…Additionally, Gillet and Kövesi (2018), Xu et al (2018) and Yu (2018) determined that the success of this process depends on the effective completion of all these stages. On the other hand, Jolly and Nolland (2018), Maltseva (2019) and Zhetessova et al (2018) made a similar analysis and defined that company personnel play an active role in all these processes. Therefore, they concluded that the competence of staff is highly effective on the company's success in developing new products and services.…”

Section: Literature Reviewmentioning

confidence: 95%

Stochastic hybrid decision‐making based on interval type 2 fuzzy sets for measuring the innovation capacities of financial institutions

2020

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This study aims to construct a hybrid decision‐making approach to the stochastic evaluation for the innovation capacity of financial institutions. For this purpose, interval type 2 fuzzy DEMATEL‐ANP is used for weighting the criteria and dimensions. Additionally, TOPSIS and VIKOR methods based on interval type 2 fuzzy sets are considered to rank the alternatives. The novelty of the study is to propose a set of criteria and dimensions of innovation capacity with the supported literature. Another novelty is to propose an extended method of DEMATEL‐ANP by using interval type 2 fuzzy sets as well as an integrated method of interval type 2 fuzzy stochastic decision‐making with the Monte Carlo simulation. The results indicate that organizational dimension of innovation capacities has the highest importance between the set of criteria and the state‐owned banks have been more appropriate than both the private and foreign banks for generating the innovation capacities in the financial institutions. However, the analysis illustrates that stochastic decision‐making models could provide more extensive results than the conventional methods including the expert priorities. This study could be also extended by using different multicriteria decision‐making methods such as MOORA and ELECTRE and also, the cross‐country analysis could be applied for the future studies.

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