Die stetig wachsende Menge digital verfügbarer Textdaten und Fortschritte in der natürlichen Sprachverarbeitung (NLP) haben Text Mining zu einer Schlüsseltechnologie gemacht. Die "Temi- Box" ist ein modularer Baukasten für das Text Mining, der die automatisierte Textklassifikation,...

This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text mining technique, we extracted the top...

The advancement and adoption of digital health technologies promise improved healthcare outcomes globally. However, numerous challenges hinder their widespread adoption. Existing IS research offers a plethora of works addressing these challenges, making it difficult to navigate the jungle of...

Over the last few decades, a substantive body of research has been created that focuses on university technology transfer (UTT), resulting in a rich and complex literature. The purpose of this paper, using a text mining approach, is to identify underlying key topics that have shaped this field...

In this study, we examine the Federal Reserve's communication strategies during the COVID-19 pandemic, comparing them with communication during previous periods of economic stress. Using specialized dictionaries tailored to COVID-19, unconventional monetary policy (UMP), and financial stability,...

This study investigates how organisations respond to Corporate Sustainability Reporting Directive (CSRD) requirements through systematic analysis of corporate communications and sustainability reports. We employ multi-dimensional text mining analysis of 500 companies across 12 industries, using...

For several reasons, trust in science in recent years has eroded, throwing serious doubts on once-reliable scientific resources. Although multiple scientific disciplines try to explain the causes and consequences of this worrying decline, we have only scant knowledge about these disciplines’...

This study investigates how organisations respond to Corporate Sustainability Reporting Directive (CSRD) requirements through systematic analysis of corporate communications and sustainability reports. We employ multi-dimensional text mining analysis of 500 companies across 12 industries, using...

The emergence of neobanks is considered a change in the current banking model and has caused a change in consumer expectations regarding their financial experience and sustainable technology. This research analyzes users feelings, words and opinions about neobanks, and determines the critical...

This systematic review investigates sentiment analysis of news headlines in the banking sector, a field susceptible to public sentiment, as demonstrated by phenomena like bank runs leading to rapid deposit withdrawals. We trace the evolution of analytic methods from traditional machine learning...

Die stetig wachsende Menge digital verfügbarer Textdaten und Fortschritte in der natürlichen Sprachverarbeitung (NLP) haben Text Mining zu einer Schlüsseltechnologie gemacht. Die "Temi- Box" ist ein modularer Baukasten für das Text Mining, der die automatisierte Textklassifikation,...

The digital transformation of firms significantly contributes to the advancement of a digital China, fostering both economic efficiency and high-quality enterprise development. Using annual report data from Chinese manufacturing companies (2011-2019), this study employs text mining to develop...

The purpose of this study is to identify airline asymmetric attributes that affect customer satisfaction based on the three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We identified food and beverage service as a basic factor;...

This study investigates the relationship between news delivered via the QUICK terminal and stock market behavior. Specifically, through an evaluation of the performance of investment strategies that utilize news index created based on its scores indicating positive or negative sentiment, we...

This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text mining technique, we extracted the top...

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

This research paper presents the results of a text mining analysis conducted on the quarterly monetary policy statements published by the Bank of Sierra Leone. This study examines the effectiveness and readability of monetary policy communication by the Bank of Sierra Leone. The research focuses...

Following the development of sustainability-related topics, its connection with the food sector could not be overlooked. Therefore, the need for constructing a functioning sustainable food system has emerged. This piece of research comes as a support for knowledge development regarding...

This paper describes the process of constructing a dataset of available online press releases related to monetary policy decisions published by central banks that have been pursuing a form of inflation targeting. A total of 3,807 documents were considered, as the review encompasses 24 central...

In this paper, I investigate how inflation signals from different types of newspapers influence household inflation expectations in Germany. Using text data and the large language model GPT-3.5-turbo-1106, I construct newspaper-specific indicators and find significant heterogeneity in their...

The digitization has reshaped the multimedia industry in a tremendous way and particularly driven the transition from physical to digital goods. With respect to the book industry, Amazon reported that purchases of e-books had surpassed those of print books for the first time in 2011. The goal of...

This study expands the inventory of green job titles by incorporating a global perspective and using contemporary sources. It leverages natural language processing, specifically a retrieval-augmented generation model, to identify green job titles. The process began with a search of academic...

Purpose: This study meticulously explored the complexities of online fan engagement, placing a spotlight on the transformative influence of YouTube content produced by the renowned K-pop group, Aespa, and its subsequent impact on user interactions and the group's prevailing image....

Purpose: This study aims to provide insight into the contemporary food waste issue for the better management of food waste in large quantities in Incheon, one specific region in Korea, based on the analysis of the Naver Blog corpus, employing analysis techniques including text mining and LDA...

Purpose: The purpose of our study is to explore the influence of Metaverse on FinTech industry and identify the mediators between them. Design/methodology/approach: To achieve the purpose, we conducted words frequency analysis, network analysis, and association rules analysis, based on 68,957...

This article investigates the economic governance of blockchain‐based virtual economies in the context of monetary policy. Focusing on tokenomics communication, we employ deductive and inductive approaches, applying real‐world monetary policy metrics and text mining frameworks. Our...

This study conducts a comparative analysis of two prominent generative artificial intelligence (GAI) tools, ChatGPT and Bard, specifically in the context of supply chain management. Using a dataset of 150 certified supply chain professional questions, the models are evaluated on the basis of...

This study aims to identify generative AI (GenAI) applications and develop a roadmap for the near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic patterns and identify the key application areas from a text corpus comprising 2,398 patents published...

With the digital transformation of the global economy, a new mode of knowledge service has emerged on open innovation platforms such as those for the sharing economy. This mode is the paid knowledge-sharing service, where knowledge providers share knowledge with only those who have paid for it....