How the innovation-competition link is shaped by technology distance in a high-barrier catch-up economy

Bessonova, Evguenia; Gonchar, Ksenia

doi:10.1016/j.technovation.2019.01.002

Cited by 26 publications

(19 citation statements)

References 43 publications

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“…Revolusi Industri telah mengubah cara kerja manusia dari penggunaan manual menjadi otomatisasi atau digitalisasi. Inovasi menjadi kunci eksistensi dari perubahan itu sendiri [29].…”

Section: Hasil Dan Pembahasanunclassified

Revolusi Industri 4. 0 Berbasis Revolusi Mental

Suwardana

2018

jatiunik. jurnal. ilm. teknik. manaj. industri.

144

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Revolusi industri telah mengubah cara kerja manusia menjadi otomatisasi/digitalisasi melalui inovasi-inovasi. Para pelaku industri berperan secara aktif sebagai entitas organisasi yang memiliki visi dalam meraih keuntungan. Revolusi industri berjalan dengan dilandasi revolusi mental dimana dalam paradigma ini terdapat perubahan besar dalam struktur mental yang terbangun atas tiga hal yaitu cara berpikir, meyakini dan cara bersikap. Revolusi mental diimbangi dengan sistem pendidikan dan peningkatan potensi diri melalui pelatihan untuk menyikapi era globalisasi yang berwatak revolusi industri 4.0 dimana dalam era ini diperlukan literasi baru dengan menggunakan analisa data secara menyeluruh serta membuat konklusi agar terkait dengan kemampuan komunikasi, kolaborasi, berpikir kritis, kreatif dan inovatif. Adanya revolusi industri memberikan keuntungan dalam meningkatkan tabungan dan meminimalkan konsumsi karena dalam hal ini terdapat peluang e-commerce dan pengembang ekonomi digital bagi para pelaku industri. Sintesis revolusi industri 4.0 akan melahirkan masyarakat sejahtera dalam pembangunan, sedangkan revolusi mental melahirkan manusia yang berkualitas dan unggul.Kata Kunci: Revolusi Industri, Revolusi Mental, Sintesis

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“…Revolusi Industri telah mengubah cara kerja manusia dari penggunaan manual menjadi otomatisasi atau digitalisasi. Inovasi menjadi kunci eksistensi dari perubahan itu sendiri [29].…”

Section: Hasil Dan Pembahasanunclassified

Revolusi Industri 4. 0 Berbasis Revolusi Mental

Suwardana

2018

jatiunik. jurnal. ilm. teknik. manaj. industri.

144

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“…Some of the companies that cannot compete with their competitors in the competitive environment cannot continue their activities. Therefore, companies are trying to gain competitive power by developing innovative products (Bessonova & Gonchar, 2019; Chen, Dai, & Li, 2019). Within this framework, Hombert and Matray (2018) focused on the determinants of innovation capacities of U.S. companies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition to this, market research on the newly designed innovative product needs to be done very well. For this purpose, it is necessary to clarify what kind of products competitors use and how competitive the market is (Bessonova & Gonchar, 2019; Chen, Dai, & Li, 2019). On the other hand, in order for the innovative product to be successful, the financial institution must also be operationally sufficient.…”

Section: Introductionmentioning

confidence: 99%

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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“…The negative impact of these factors is evident both in the real sector organisations' demand for innovations, and in the productivity of companies already involved in innovation activities. As a result, Russian enterprises rarely implement breakthrough innovation projects leading to development of high-tech products competitive in foreign markets [Bessonova, Gonchar, 2019]. "Openness", and network cooperation are practiced only by actively growing companies, for whom these activities make an important part of their business models.…”

Section: Cooperation In Modern Innovation Modelsmentioning

confidence: 99%

Cooperative Strategies in the Age of Open Innovation: Choice of Partners, Geography and Duration

Vlasova¹,

Roud²

2020

Foresight and STI Governance

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In the era of open innovation, the choice of a cooperative strategy is one of the most significant factors determining the effectiveness of innovation activities. The authors investigate typical configurations of cooperative networks in Russian manufacturing, including the choice of partners, the role of spatial distance, and the duration of joint projects. Using the firm-level data (1324 in 2015 and 545 in 2018) the paper estimates the role of cooperation in the innovation outcomes in terms of innovation novelty and export capacity. The most common cooperative strategy is vertical cooperation that is the involvement of clients and suppliers in the process of innovation development. The geography of cooperation rarely extends beyond the region’s borders and is mostly of an irregular (short-term) nature. A small number of enterprises that engage in international cooperation tend to rely on long-term linkages with academia, which is a distinctive feature of the most innovative Russian companies, including also those involved in the creation and distribution of intellectual property.

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How the innovation-competition link is shaped by technology distance in a high-barrier catch-up economy

Cited by 26 publications

References 43 publications

Revolusi Industri 4. 0 Berbasis Revolusi Mental

Revolusi Industri 4. 0 Berbasis Revolusi Mental

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

Cooperative Strategies in the Age of Open Innovation: Choice of Partners, Geography and Duration

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