Identifying creative ability and its determinants is crucial in understanding artistic and innovative achievements. Previous work has shown that performance across established creativity tasks does not correlate within participants. A potential reason for this finding is that most creativity...

Purpose: To develop a controlled vocabulary of less than 30 terms that represents level 1 of a taxonomy for the field of operations management, integrating previous available work to improve efficiency in searching and retrieving scientific information in the area.Design/methodology/approach: A...

Aligning academic research with policymaking is vital for addressing China's energy challenges. This study introduces an AI-driven framework combining BERTopic, semantic similarity analysis, and deep reinforcement learning (DRL) to evaluate alignment between 106,661 English-language academic...

Competence-based human resource management (HRM) emphasises the identification, development, and utilization of employee competence to boost the organizational performance, particularly in high-tech sectors that demand continuous competence advancement. Advanced artificial intelligence...

Abstarct Urban sustainability assessment is an effective method for objectively presenting the current state of sustainable urban development and diagnosing sustainability-related issues. As the global community intensifies its efforts to implement the sustainable development goals (SDGs), the...

Text mining and corpus linguistic methods are used to analyze 11,000 EU competition law decisions and judgments. This reveals a shift in the competition vocabulary from ordoliberalism in the 1970-80s to neoliberalism in the post-2000s. While the Commission has partly adopted a neoliberal...

CSR is increasingly becoming an integral part of a company's business operation. To successfully implement a CSR strategy, companies must address their CSR actions to their stakeholders. This paper examines how companies communicate sus- tainability to their stakeholders through various...

This study represents an initial endeavor to harness the potential of the semantic space within the Twitter news flow to forecast financial anomalies. In pursuit of this objective, approximately two million entities were extracted from the news text disseminated by the most widely followed news...

About the necessity and usefulness of developing a philosophy specific to the blockchain technology, emphasizing on the ontological aspects. After an Introduction that highlights the main philosophical directions for this emerging technology, in Blockchain Technology I explain the way the...

Semantic web technologies have the potential to significantly improve urban regulatory data access, integration and usability, with potentially large implications for planning practice. Ontologies are a cornerstone of the semantic web. In this paper, we describe OntoZoning, an ontology...

In modern workforce management, the demand for new ways to maximize worker satisfaction, productivity, and security levels is endless. Workforce movement data such as those source data from an access control system can support this ongoing process with subsequent analysis. In this study, a...

The purpose of this paper is to identify whether a person's entrepreneurial characteristics can be sought in written texts, and it deals with aspects such as understanding hidden feelings by looking only at a person’s written texts. The transcripts of their speeches, interviews, and press...

We introduce a new rule-based linking method for historical Census records. We augment earlier algorithms based on name, age and place of birth (Abramitzky, Boustan, Eriksson, 2012, or "basic ABE"), with five matching characteristics - middle initial, county of residence, and spouse and parents'...

We propose an empirical Bayes estimator for two-way effects in linked data sets based on a novel prior that leverages patterns of assortative matching observed in the data. To capture limited mobility we model the bipartite graph associated with the matched data in an asymptotic framework where...

IT and semantic web contributions to digital transformation: towards inclusive economies and societies explores how information technologies and semantic web can contribute to the successful digital transformation of companies and governments around the world. It examines state-of-the-art...

Our empirical results demonstrate the semantic information integration induce an decline of stock price synchronicity, stronger semantic information integration attracts higher media coverage and greater analyst market attention, and produces greater reduction on stock price synchronicity than...

Social scientists have become increasingly interested in how narratives -- the stories in fiction, politics, and life -- shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our pipeline identifies...

Network models are one of the methods used by linguists, psychologists and cognitive scientists to represent the semantic organization structure. In order to understand the semantic organization development of Chinese preschool children in their actual use of language, this paper constructs...

This paper studies economic determinants of semantic similarity in executive compensation disclosures and its implications for compensation peer selection. We employ a novel measure based on a natural language processing algorithm with machine learning---document embeddings---to capture nuanced...

This paper applies data science techniques, specifically natural language processing algorithms, to a corpus comprised of the Bank of England’s MPC minutes. Whilst acknowledging that there is a considerable amount of fuzziness surrounding the use of such techniques, there is some evidence to...

This paper considers a model of the neural network for semantically segmenting the images of monitored objects on aerial photographs. Unmanned aerial vehicles monitor objects by analyzing (processing) aerial photographs and video streams. The results of aerial photography are processed by the...

We describe a context-sensitive model of choice, in which the selection process is shaped not only by the attractiveness of items but also by their semantics (‘salience’). Items are ranked according to a binary relation of salience, and a linear order is associated to each item. The...

We describe a context-sensitive model of choice, in which the selection process is shaped not only by the attractiveness of items but also by their semantics (‘salience’). Items are ranked according to a binary relation of salience, and a linear order is associated to each item. The...

The landscape of ICOs and its underlying Blockchain technology needs more clarity, given that several overlapping and opposing views exist from governmental institutions, institutional investors, economists, and academia. Those positions stem from confusion, bias, and vested interest. Having...

This paper focuses on cybersecurity knowledge, claiming that this knowledge may have a value of its own, and suggests a market mechanism to foster the creation of this kind of value. The goal is to elaborate the value of cybersecurity knowledge and propose a semantic approach with an example...