20.500.12556/RUL-156197 From data to decision distilling decision intelligence from user-generated content Purpose – The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques. Design/methodology/approach – Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis. Findings – The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance. Research limitations/implications – The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance. Originality/value – The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making. information system decision making artificial intelligence consumer-generated content text-mining decision intelligence price competitiveness quality competitiveness informacijski sistem odločanje umetna inteligenca true false true Angleški jezik Slovenski jezik Članek v reviji 2024-05-13 14:47:19 2024-05-13 14:47:23 2024-05-14 03:49:33 0000-00-00 00:00:00 2024 0 0 Str. 1-23 no. 13 Vol. 53 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8 0368-492X 10.1108/K-08-2023-1447 189558275 10-1108_K-08-2023-1447.pdf 10-1108_K-08-2023-1447.pdf 1 F4E1F0DC99457650017EF54CB6BBA2F9 f7e13b2612310f9d99bb701c04e9cc94660a2ceae827cfb03b0ee1d78a21d5d1 885cc3b8-1128-11ef-adc7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183517 https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1447/full/html 0 63253815-1128-11ef-adc7-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183516 Ekonomska fakulteta 0 0 0