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Št. zadetkov: 7
ǂA ǂpilot study of some aspects of the perceived usability of mobile advertising among students
Maja Rožman, Dijana Oreški, Polona Tominc
Izvirni znanstveni članek
Oznake: mobile advertising;pilot study;students;younger generation;
Leto: 2022 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment
Maja Rožman, Dijana Oreški, Polona Tominc
Izvirni znanstveni članek
Oznake: artificial intelligence;leadership;employee engagement;company performance;
This paper aims to develop a multidimensional model of AI-supported employee workload reduction to increase company performance in today's VUCA environment. Multidimensional constructs of the model include several aspects of artificial intelligence related to human resource management: AI-supported ...
Leto: 2023 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Artificial intelligence and agility-based model for successful project implementation and company competitiveness
Polona Tominc, Dijana Oreški, Maja Rožman
Izvirni znanstveni članek
Oznake: artificial intelligence;agile work environment;company competitiveness;project management;
The purpose of the paper is to present a model of factors affecting the successful project implementation by introducing agility and artificial intelligence to increase the company’s competitiveness. In the model, the multidimensional constructs describing the implementation of an agile work environ ...
Leto: 2023 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises
Maja Rožman, Dijana Oreški, Polona Tominc
Izvirni znanstveni članek
Oznake: artificial intelligence;talent management;employees;employee engagement;performance of the company;
The purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and performance of the enterprise. The research was implemented on a sample of 317 managers/owners in Sl ...
Leto: 2022 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Statistically significant differences in AI support levels for project management between SMEs and large enterprises
Polona Tominc, Dijana Oreški, Vesna Čančer, Maja Rožman
Izvirni znanstveni članek
Oznake: enterprises;project management;leadership;artificial intelligence;
Background: This article delves into an in-depth analysis of the statistically significant differences in AI support levels for project management between SMEs and large enterprises. The research was conducted based on a comprehensive survey encompassing a sample of 473 SMEs and large Slovenian ente ...
Leto: 2024 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Agility and artificial intelligence adoption
Maja Rožman, Dijana Oreški, Katja Crnogaj, Polona Tominc
Izvirni znanstveni članek
Oznake: firm performance;IT management;agility;artificial intelligence;Slovenia;
This article presents the findings of a survey conducted in Slovenia, encompassing a random sample of 275 enterprises, to analyze the factors influencing the transition to an agile approach, the AI-supported organizational culture, AI-enabled workload reduction, and AI-enabled performance enhance ...
Leto: 2023 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Poslovna statistika
Polona Tominc, Maja Rožman, Vesna Čančer, Dijana Oreški, Blaž Frešer, Alenka Plos
Univerzitetni, visokošolski ali višješolski učbenik z recenzijo
Oznake: urejanje in prikazovanje podatkov;deskriptivna statistika;enostavna regresijska analiza;osnove vzorčenja;časovne vrste;
Predmet Poslovna statistika, za katerega je namenjena ta zbirka vaj, je pomemben za to, da študenti razvijejo sposobnost razumevanja informacij v podatkih. Gradivo obravnava naslednje vsebinske sklope: prikazovanje podatkov v tabelah in grafih, relativna števila, mere centralne tendence, mere variab ...
Leto: 2023 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Št. zadetkov: 7
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