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The impact of the implementation of a learning organization on the formation of a positive organizational identity
Marko Peršič, Duško Uršič, Draško Veselinovič, 2014, izvirni znanstveni članek

Opis: This paper examines the results of a broader research of the impact of the implementation of a learning organization on the formation of a positive organizational identity in the Slovenian entrepreneurial practice. On the basis of an analysis carried out in 2012 on a sample of 132 enterprises in Slovenia, the authors derived their own definition of organizational learning. With the aid of factor analysis and a regression model, we established that each factor defined in this paper independently affects the formation of a positive organizational identity. However, in the event of joint factors of the learning organization, only the factor empowerment and organization have a statistically significant impact on the formation of a positive organizational identity. The findings from our research are applicable in almost every company in Slovenia, where the management can use them to form the company’s organizational identity with the aim of increasing the competitiveness of the company’s business.
Ključne besede: learning organization, positive organizational identity, organizational learning, factor analysis
Objavljeno: 03.08.2017; Ogledov: 62; Prenosov: 0
.pdf Polno besedilo (101,24 KB)

Organizational learning supported by machine learning models coupled with general explanation methods
Marko Bohanec, Marko Robnik Šikonja, Mirjana Kljajić Borštnar, 2017, izvirni znanstveni članek

Opis: Background and Purpose: The process of business to business (B2B) sales forecasting is a complex decision-making process. There are many approaches to support this process, but mainly it is still based on the subjective judgment of a decision-maker. The problem of B2B sales forecasting can be modeled as a classification problem. However, top performing machine learning (ML) models are black boxes and do not support transparent reasoning. The purpose of this research is to develop an organizational model using ML model coupled with general explanation methods. The goal is to support the decision-maker in the process of B2B sales forecasting. Design/Methodology/Approach: Participatory approach of action design research was used to promote acceptance of the model among users. ML model was built following CRISP-DM methodology and utilizes R software environment. Results: ML model was developed in several design cycles involving users. It was evaluated in the company for several months. Results suggest that based on the explanations of the ML model predictions the users’ forecasts improved. Furthermore, when the users embrace the proposed ML model and its explanations, they change their initial beliefs, make more accurate B2B sales predictions and detect other features of the process, not included in the ML model. Conclusions: The proposed model promotes understanding, foster debate and validation of existing beliefs, and thus contributes to single and double-loop learning. Active participation of the users in the process of development, validation, and implementation has shown to be beneficial in creating trust and promotes acceptance in practice.
Ključne besede: decision support, organizational learning, machine learning, explanations
Objavljeno: 01.09.2017; Ogledov: 50; Prenosov: 0
.pdf Polno besedilo (1,31 MB)

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