The statement that demand creates its own supply rings true for the smartphone market as well as for any other sector of the market economy. With computerization level of society growing, Internet-based technology advancing, with the increase in Internet penetration of households, growing population mobility and the development of small and medium-sized enterprises, it has become important for an individual to have operative engagement into daily interactions and activities. On the other hand, the development of technologies also requires new advanced features of technical devices.
Preference evaluation of goods or services can be done using one of market research techniques - conjoined analysis. This article continues the series on applying the conjoined analysis technique. To demonstrate the algorithm, features of conducting and interpreting results obtained, the authors use the study results of the smartphone market. The published results of the previous studies provided a detailed description of their preparation stages, described the sample size, statistics of response for a questionnaire, and algorithms from conjoint analysis technique. In particular, it outlines writing source code for the conjoint analysis algorithm using IBM SPSS Statistics command syntax language.
The purpose of this article is to demonstrate a step-by-step algorithm for conjoint analysis as one of the methods for statistical data pro- cessing, based on smartphone consumers survey, conducted by the authors. The article briefly presents the essence of the conjoint analysis, its advantages and disadvantages as a statistical method, the algorithm for preliminary processing of initial data. The authors developed a conjoined analysis and given detailed interpretation of its results. Special attention deserves the analysis and reasoning behind the choice of private utility model, as well as the evaluation of its parameters.
The findings, presented in this article, can be used by experts in statistical data processing and IT market experts. In the future, the authors plan to publish a theoretical article focusing on outlining the essence of the conjoint analysis, its application and operationalization approaches.
This document presents results of non-quantitative observations application and their processing methods, which significantly widen the analytical capabilities of the statistical measurement of the Russian IT market. The need to expand statistical tools that allow to reflect current and future trends in the sectoral development of IT sphere in a fast and visible manner, due to the rapid character of penetration of these services into the Russian market, is argued in the paper.
With the help of business climate indicators and construction of different homogeneous behavior models, analysis of business trends in the financial and economic activities of IT organizations is presented, highlighting the specifics of them functioning within the various cyclic episodes of 2010-2017.
IEEE Electron Devices Society Newsletter
Economics has developed up to the moment a number of methods to estimate IT impact on firms' productivity and to analyse the channels of such impact. The paper presents the review of the literature on IT economics and results of IT productivity research in Russia which was performed in 2010-2012. As a result positive IT impact on productivity was for the first time demonstrated on the dataset of 200 Russian firms. Some specific organizational arrangements ensuring productive IT usage were also found