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Article
Publication date: 1 June 2005

Roman E. Chumakov and Kandidat Nauk

Develops a neural network based system for optimum assembly speeds using thread‐forming fasteners.

Abstract

Purpose

Develops a neural network based system for optimum assembly speeds using thread‐forming fasteners.

Design/methodology/approach

Uses a three layer neural network to optimise thread forming speeds based on thread diameter and pitch and the total number of thread coils.

Findings

The method demonstrates savings in energy and reduction in torque values of 20‐30 per cent.

Research limitations/implications

Provides a method that works even when less experimental data are available.

Practical implications

The method should provide a higher quality and reliability and allow thread‐forming fasteners to be used in new application areas.

Originality/value

Provides an efficient and less labour intensive method for insertion speed optimisation.

Details

Assembly Automation, vol. 25 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 14 May 2020

Turkhan Sadigov

The purpose of this paper is twofold. First, the article explores an understudied side of invention commercialization–the rejection of business as something “dirty” among Russian…

Abstract

Purpose

The purpose of this paper is twofold. First, the article explores an understudied side of invention commercialization–the rejection of business as something “dirty” among Russian scientists. As such, the paper contributes to the individual-level explanations of innovation promotion, hence balancing extant literature's excessive focus on institutional explanations. Second, the article suggests that Russian scientists' rejection of business is rooted in broader Russian work ethics rift between “material” and “ideational” aspects of life. As such, the paper shows how dominant collective values refract in the management practice of specific social class, i.e. of scientists.

Design/methodology/approach

To analyze the rift between material and ideational aspects of Russian scientists' work, the article employs directed content analysis (DCA) of in-depth interviews with 45 Russian scholars. To address credibility bias of the research findings stemming from DCA, I further draw on the survey of existing studies, researches and polls highlighting Russian population attitudes toward the dichotomy between “material” and “ideal” realms.

Findings

This study argues that Russian scientists' likelihood of invention commercialization is positively associated with their ability to integrate in a personal psyche business and science as equally valuable facets of life.

Originality/value

The article identifies the three groups of scientists – opportunity-seekers, idealists and integrators – with different attitudes to invention commercialization. The article shows how policymakers should apply institutional incentives differently to each group of scientists to achieve higher rates of invention commercialization.

Details

Cross Cultural & Strategic Management, vol. 28 no. 1
Type: Research Article
ISSN: 2059-5794

Keywords

Open Access
Article
Publication date: 30 January 2005

Konstantin Korenevskiy

Since 1988 Russia and Korea have been developing bilateral economic relations. After the conclusion of, the first trade agreement, Korea has become one of the largest trading and…

Abstract

Since 1988 Russia and Korea have been developing bilateral economic relations. After the conclusion of, the first trade agreement, Korea has become one of the largest trading and investment partners of the Russian Far East. Annually, Korea has increased trade and investment flows to the Russian Far East, a region with high growth potential. By the 2000s Korea has become the Russian Far East’s third largest trading partner. This article considers trade and investment flows from the 1990s to the present, analyses the prospects of achieving goals, and the problems of developing further bilateral cooperation between Russia and Korea.

Details

Journal of International Logistics and Trade, vol. 3 no. 1
Type: Research Article
ISSN: 1738-2122

Keywords

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