..., it proposes a dual-dimensional framework that classifies these skills into thematic clusters and cognitive topics, offering strategic insights for workforce development and policy design. Design/methodology/approach The study adopts a big-data-driven approach leveraging Large Language Models...

...Emre Yaşar; Mahmut Demir; Turgay Taşdemir Purpose This study aims to examine consumers' purchasing and consumption behavior regarding big data embedded in packaged food post-Covid-19. The second purpose is to determine whether consumer purchasing behavior varies depending on the variety and volume...

... Licensed re-use rights only Agricultural entrepreneurship Artificial intelligence Big data Machine learning Augmented reality Content analysis The agricultural and food sector is becoming more and more competitive. As in several other business fields, agriculture sees the presence of new...

... to rely on official statistics. Design/methodology/approach The big data approach was adopted to track food price inflation in Poland. Using the web-scraping technique, daily price information about individual food and non-alcoholic beverage products sold in online stores was gathered. Findings...

... to measure food consumers' attitudes, and company managers recognize the use of big data analytics as a powerful tool to extract information about their products, customers and markets (Mostafa, 2018 , 2019 ; Ruggeri and Samoggia, 2018 ; Samoggia et al., 2020). Twitter is one of the most popular...

... Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only E-commerce Big Data Data collection Food price Digitalization Web scraping is a relatively new method for collecting online data. The term describes the automated process of accessing websites and downloading...