Primer izpeljave analize besedila v kvalitativni raziskavi

V članku na podlagi kvalitativne raziskave prikazujemo primer načina analize in razlage besedila. V prvem delu se osredotočimo na teoretično opredelitev analitičnega orodja ter značilnosti analize in interpretacije besedil znotraj kvalitativne raziskave. V nadaljevanju na podlagi izsledkov (polstrukturiranih intervjujev in osebnih zapisov, opazovanja delovanja dveh mrež) prikažemo možnost analize in interpretacije dobljenih podatkov z uporabo analitičnega orodja tematske mreže

A holistic approach to the management of human consumption towards an economics of well-being

The goal of this conceptual paper is to draw attention to the problems caused by the rapid growth of the global economy, coupled with high population growth and excessive exploitation of natural resources. It is necessary to be aware that the global economy will not be able to grow at the actual speed in the long term. A paradigm shift in production and consumption is therefore necessary to avoid the collapse of ecosystems and the concurrent reduction of stocks of natural resources. This is the reason why capitalism has to take a new direction towards a sustainable and naturally harmonized development model

Relation between knowledge management and turnover in Slovenian micro and small start-up organisations

This article discusses the importance of knowledge management and employee turnover, using the example of selected Slovenian organisations, in particular, technology parks. The purpose of this article is to point out statistical characteristics between employee turnover and certain selected independent variables. The empirical research was conducted on a population of 667 Slovenian organisations gathered from the subjects of an innovative environment database, and a further sample of 51 chosen technology parks from the A group. By implementing multivariate regression analysis, we sought to examine whether knowledge requirements and knowledge transfer paths in these organisations have a statistically significant influence on employee turnover. The aim of this article is to present the results of empirical research that defines the development of a conceptual framework for understanding the influence of knowledge management on employee turnover. The results have shown that the importance of intellectual and social capital, intangible capital assets and their continuous measurement must be acknowledged within an organisation

INFERRING MERCHANT REVIEW SCORES FROM PAYMENT DATA

Users complete payment transactions with various merchants using a wallet application or similar payment application maintained by an account management computing system. The account management computing system creates a predictive model or trains a machine learnt regression function or classifier model to predict the merchant review score based on the payment information received from the user device. A merchant is identified to derive a merchant review score and the account management computing system identifies the business type of the identified merchant. Payment data that corresponds to completed payment transaction between various users and the identified merchant are identified. Each part of the payment data that can be used by the predictive model to infer a merchant review score is a signal that is identified from the payment data. During its analysis of the first signal, the account management computing system determines the number of times the user has visited the identified merchant. The number of repeat visits to the identified merchant can be normalized based on a similar merchant type. During its analysis of the second signal, the account management computing system determines the difference between the preauthorized payment amount and the final payment amount for the user’s payment transaction with the identified merchant. This analysis will yield a calculated gratuity amount. The gratuity amount can be normalized based on a user’s typical gratuity amount for a similar merchant type or based on geographic locations. The predictive model is applied to the identified signals to infer a merchant review score. The account management computing system outputs the merchant review score for the identified merchant