Resource-based model for small innovative enterprises
The paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.
This proceeding volume contains selected contributions from the participants of the IV International Young Researchers Conference: Physics, Technologies and Innovation (PTI-2017) held from May 15 to 19, 2017 in Ekaterinburg, Russia. The conference continued the tradition of annual meetings in the general area of modern science and innovative technology. This, fourth, conference was organized and held by the Institute of Physics and Technology of the Ural Federal University, one of the largest educational institutions in Russia. The primary aim of the conference was providing the opportunity for younger researchers (of graduate and postgraduate level) to meet and discuss the results of their studies, and to present their work in front of a panel of national and international experts. To encourage graduate and postgraduate students to attend and make the meeting as accessible as possible, the conference this year, same as previously, was totally free of charge for all the participants.
In this article the possibility for improving the dynamic capabilities of the domestic enterprises by tools of Lean management system is considered. The impact of the mentioned system in the big Russian enterprise ‘KAMAZ’ is evaluated. Lean management is a world-spread way of solving the problems, aimed at making the company competitive. It is the organized activity of staff of the company focused on reduction of expenses, maximizing value of production for the consumer and the added value for business.
Proceedings of the 9th International Conference of Education, Research and Innovation
Innovation management in industrial enterprises is always associated with high costs and a high probability of failure. In this study, we consider the estimation of the maturity of the organizational capacity of the industrial enterprises to implement innovations. For this purpose, we analyzed various approaches to innovation management maturity model (ICMM), as well as a study of innovative enterprises to identify major gaps in their innovative activity. This article offers a systematic approach to improving innovation management
The book enriches the current discussion of smart specialization by placing it in a broader international context. Smart specialization in the european context displays several commonalities and differences when compared to other similar approaches in the world. By using a comparative perspective, the book aims to make further advances in the area of smart specialization, innovation and industrial policies: to articulate country-specific approaches; to intergate analytically global value chains and international dimentions; to explore institutional preconditions for the implementation smart specialization strategies and how different institutional contexts impact on the implementation of smart specialization type policies
Luddites is a historical term used to describe a type of artisan, lost their guild status, economic independence and position in the course of the industrial revolution. Perm case allows us to apply the term to a situation of mass introduction of cultural industries in the modern city. In modern society, Gallery is a specialized factory for the production of art. It organizes artistic activity of people of art, develops rules for distinguishing art, creates a center of attraction for artists, their agents and producers. Similar functions are performed by modern theaters, museums, book fairs and exhibition centers. The paper presents an analysis of resistance practices that the local branch of the Union of Artists of Russia, some writers and journalists met with the development of the project in the Perm Museum of Modern Art PERMM and support program for cultural
|1 (26) 2017| © Издательство «Эйдос», 2017. Только для личного использования. © Publishing House EIDOS, 2017. For Private Use Only. Международный журнал исследований культуры International Journal of Cultural Research www.culturalresearch.ru Содержание / Table of Contents Тема номера / Topic of the Issue КУЛЬТУРНЫЕ ИНДУСТРИИ / CULTURAL INDUSTRIES Андрей Николаевич КАБАЦКОВ / Andrey Nikolaevich KABATSKOV | Луддиты в современной культурной индустрии. Пермский кейс / Luddites in Modern Cultural Industry. Perm Case | 82 industries. Displaying the birth of public skirmishes in the press, the ideology of resistance to cultural invasion. The core of the resistance ideology was the idea of the construction of the local territorial identity, spiritual identity and traditions of the mining civilization storage (Ivanov). This allowed the opposition to present a cosmopolitan conflict, businessmen and the keepers of folk traditions. The reason for the defeat of bearers is a disability to mobilize citizens. Relegating them to the role of spectators, and the power of the initiators of the cultural changes turned them into the crowd of onlookers in no one's own social position. As a result of the defeat of “Perm cultural project” Luddites were able to celebrate a victory (in contrast to their British predecessors), and creative industries were compromised.
The Arctic region is one of the most sensitive and vulnerable to climate change. The dramatic melting of Arctic ice has several negative consequences for the whole ecosystem as well as for a way of life of native people but it also creates new opportunities for the region. First, it opens up potential for exploitation of large deposits of natural resources such oil and gas. Second, it shrinks Arctic shipping routes which offer significant economic savings for many countries. These benefits has already attracted many countries, both Arctic and non-Arctic, thus resulting in potential conflict of interests. In our paper we present a mathematical approach to the problem of conflict resolution in the Arctic. First, we propose an approach how the level of interest in each part of the region should be evaluated with respect to main resources - oil, gas, fish and maritime routes. Second, we present several models of areas allocation to resolve the problem of conflict resolution. As a result, we applied several scenarios of areas allocation, evaluated their efficiency based on the total satisfaction level and identified conflict zones in the Arctic.
In this work, we describe approaches to creation of a ranked jobs framework within the model of cycle scheduling in Grid virtual organizations with such quality of service (QoS) indicators as an average job execution time and a number of required scheduling cycles. Two methods for job selection and scheduling are proposed and compared: the first one is based on the knapsack problem solution, while the second one introduces a heuristic parameter of job and computational resources “compatibility”. Along with these methods we present experimental results demonstrating the efficiency of proposed approaches and compare them with random job selection.