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EN
Digital music streaming and downloading platforms supervene the stymied superfluity of physical music distribution in the recording industry. The significant transition seems to provide quasi-real-time increased music consumption. The purpose of the study is to identify the challenges associated with the paradigm shift to the digital trajectory of music regarding global market demand and to establish the extent to which digital diffusion innovations influence digital music distribution and consumption in the recording industry. The exploratory research study employed univariate and multivariate statistical analysis to analyse the data collected from 217 musicians. The study found that the customer base of physical retail stores is dwindling due to the increasing number of independent artists and technologically compatible media devices that encourage music streaming and downloads. The practical implications ensue the amplitude of music downloads that is proffered by modular technological developments, such as the buttress of smartphones while it predicates the perspicacity of innovative digital technologies to create independent shrewd music entrepreneurs.
EN
Open Source Software (OSS) has obtained widespread popularity in last few decades due to the exceptional contribution of some well established ones like Apache, Android, MySQL, LibreOffice, Linux etc. not only in the field of information technology but also in other sectors such as research, business and education. These systems are characterized by a huge shift in development pattern they adopt in comparison to proprietary software. Reliability modeling for such systems therefore is a growing area of research now days. Number of users adopting and working on refinement of such systems post-release play an indispensible role in their reliability growth. In this paper, we have proposed a software reliability growth model (SRGM) based on Non-homogeneous Poisson process (NHPP) based on number of users, under the phenomenon of Imperfect Debugging. The renowned Bass Model from Marketing based on the Theory of Diffusion of Innovation is used to depict the user growth phenomenon. Various fault content functions are considered in proposed models to represent imperfect debugging conditions and their performance is evaluated on fault dataset of GNOME 2.0. Four goodness-of-fit criteria namely Coefficient of Determination, Mean Square Error, Predictive Ratio Risk, and Predictive Power are used to calculate the estimation accuracy of all the proposed models and it has been observed that prediction capabilities of models based on imperfect debugging phenomenon is better than model assuming perfect debugging situation.
EN
The author of the diffusion theory of innovation is Everett Rogers - an American sociologist, who in 1962 published a book entitled "Diffusions of innovations", presenting the issues related to the dissemination of a new solution within the market. The presented concept of diffusion of innovation is still current and can be applied to almost every sector that brings a new product to market.
4
Content available Podejście agentowe w modelowaniu dyfuzji innowacji
EN
This paper presents the applicability of using agent models to model a new product diffusion on the market. Two dimensional cellular automaton has been used for modelling. As a key mechanism of new product diffusion, advertisement and word of mouth communication was adopted. The study analyzed the dynamics of the views and attitudes of consumers based on local interactions in informal groups. These informal groups of consumers are represented by von Neumann neighborhood of radius r = 1 (4-element neighborhood) and r = 2 (12-element neighborhood).
PL
W artykule przedstawiono możliwości zastosowania modeli agentowych do modelowania dyfuzji nowego produktu na rynku. Zaprezentowano model oparty na dwuwymiarowym automacie komórkowym. Jako kluczowy mechanizm dyfuzji nowego produktu przyjęto reklamę oraz przekazywanie informacji „z ust do ust” ('word of mouth'). W artykule analizowano dynamikę zmian poglądów i postaw konsumentów bazując na lokalnych interakcjach między nimi w grupach nieformalnych. Te nieformalne grupy konsumentów reprezentowane są przez otoczenie von Neumanna o promieniu r = 1 (otoczenia 4-elementowe) i r = 2 (otoczenia 12-elementowe).
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