Strategic Orientations of the Network Business Models

Szymon Mazurek

Abstract

Progressive globalisation and the rapidly developing information and telecommunication technologies drive the development of entrepreneurship and business activities that are based on the network structures. The purpose of this article is to present the methods of using the networks in business models (crowdsourcing, crowdfunding, network orchestrators and others) in the light of the concepts of the strategic orientations and propose a new theoretical framework for the analysis those business models. The central part of this paper presents a two-dimensional classification of the network business models, which comprises seven strategic network orientations: active/passive sourcing, active/passive distribution, active/passive participation and active formation. This systematization covers the whole spectrum of activities, which the companies may take in connection with the network structures. The classification proposed in this article has been confronted with other, universal classifications of the strategic orientations frequently quoted in the literature (Venkatraman, Miles and Snow and other authors), which converge with the proposed network use system only to a minor extent
Autor Szymon Mazurek (NE / KMSG)
Szymon Mazurek
- Katedra Międzynarodowych Stosunków Gospodarczych
Tytuł czasopisma/seriiTransformations in Business & Economics, ISSN 1648-4460, (A 20 pkt)
Rok wydania2018
Tom17
Nr2A
Paginacja410-425
Objętość publikacji w arkuszach wydawniczych0.75
Słowa kluczowe w języku angielskimnetworks, strategic orientation, network analysis, crowdsourcing
Klasyfikacja ASJC1406 Marketing; 3320 Political Science and International Relations; 2002 Economics and Econometrics; 3301 Social Sciences (miscellaneous); 1403 Business and International Management
Języken angielski
Punktacja (całkowita)20
PunktacjaPunktacja MNiSW = 20.0, 28-09-2019, ArticleFromJournal
Wskaźniki publikacji Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.535; Impact Factor WoS: 2017 = 1.112 (2) - 2017=0.74 (5)
Liczba cytowań*2 (2019-11-12)
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