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Items from 1 to 20 out of 4,882 results

article

Combining text analytics and network path extraction to trace CSR in the social sciences: Intellectual structures and diffusion trajectories

Dejian Yu, Bo Xiang, Zhuoya Pan

Corporate Social Responsibility and Environmental Management > 31 > 5 > 4532 - 4554

Corporate social responsibility (CSR) has evolved over time into a mature interdisciplinary scientific field. However, there is a lack of research to explore the disciplinary association patterns and diffusion trajectories of scientific knowledge within this field. This research proposes a knowledge tracing framework that combines text analysis based on scientific texts and main path extraction based...

article

Effects of Increased Transparency on Political Divides and MP Behavior: Evidence from Televised Question Hours in the Finnish Parliament

Jeremias Nieminen, Salla Simola, Janne Tukiainen

Legislative Studies Quarterly > 49 > 3 > 585 - 616

We study the effects of increasing the transparency of parliamentary speeches on polarization and other types of MP behavior. We utilize the 1989 introduction of TV broadcasting to the Finnish government's parliamentary question hours held on the first Thursday of every month. By contrast, the question hours held on other Thursdays of the month were not televised until 2007, allowing us to use a difference‐in‐differences...

article

Nowcasting Euro area GDP with news sentiment: A tale of two crises

Julian Ashwin, Eleni Kalamara, Lorena Saiz

Journal of Applied Econometrics > 39 > 5 > 887 - 905

This paper shows that newspaper articles contain signals that can materially improve real‐time nowcasts of real GDP growth for the Euro area. Using articles from 15 popular European newspapers, which are machine translated into English, we create sentiment metrics that update daily and assess their value for nowcasting, comparing with competitive and rigorous benchmarks. We find that newspaper text...

article

Understanding regulation using the Institutional Grammar 2.0

Saba Siddiki, Christopher K. Frantz

Regulation & Governance > 18 > 3 > 674 - 687

Over the last decade, there has been increased interest in understanding the design (i.e., content) of regulation as a basis for studying regulation formation, implementation, and outcomes. Within this line of research, scholars have been particularly interested in investigating regulatory dynamics relating to features and patterns of regulatory text and have engaged a variety of methodological approaches...

article

Talking representation: How legislators re‐establish responsiveness in cases of representational deficits

REUT ITZKOVITCH‐MALKA, GUY MOR, ODELIA OSHRI, SHAUL SHENHAV

European Journal of Political Research > 63 > 3 > 950 - 972

A close connection between public opinion and policy is considered a vital element of democracy. However, legislators cannot be responsive to all voters at all times with regard to the policies the latter favour. We argue that legislators use their speaking time in parliament to offer compensatory speech to their constituents who might oppose how they voted on a policy, in order to re‐establish themselves...

article

Heterogeneity in needs and purchases in Australian retirees

Anthony Asher, Tim Boonen, Le Chang, Gaurav Khemka, more

Accounting & Finance > 64 > 2 > 2209 - 2247

To plan for retirement, it is important to understand how needs and purchases may change. We use data from a survey of elderly Australians to see how needs and purchases changed in different categories of goods and services. We looked especially at those who had experienced financial or health shocks. Our analysis shows variation in people's experiences, particularly for health costs, which increase...

article

Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture

Rini PL, Gayathri KS

International Journal of Language & Communication Disorders > 59 > 3 > 1110 - 1127

Background Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early detection of dementia can significantly reduce the effort and resources needed for caretaking. Aims This research proposes an approach for assessing cognitive...

article

Unexpected consequence of enterprise digital transformation on financial investments

Shiguang Li, Zheng Yang, Yixiang Tian

Journal of Corporate Accounting & Finance > 35 > 2 > 121 - 134

Digital transformation provides new opportunities for companies, but also unexpected consequences. We quantify the firms’ level of digitalization using text analysis to examine whether digital transformation affects financial investment. The results conclude that digital transformation increases financial investment and our findings remain valid after robustness checks, indicating that digital transformation...

article

Central bank communication and social media: From silence to Twitter

Donato Masciandaro, Oana Peia, Davide Romelli

Journal of Economic Surveys > 38 > 2 > 365 - 388

This paper discusses the evolution of central bank communication, focusing on recent efforts by central banks to engage with a wider audience via social media. We document the social media presence of major central banks and discuss how analyzing Twitter content by and about monetary policy makers can inform about the effectiveness of communication in influencing beliefs. We focus on recent techniques...

article

Non‐family shareholder governance and the digital transformation of family firms: Evidence from China

Shanzhong Du, Lianfu Ma, Zhuo Li, Chengcheng Ma

Corporate Governance: An International Review > 32 > 1 > 89 - 115

Research Question/Issue We investigate the influence of non‐family shareholder governance on Chinese family firms' digital transformation strategies. Research Findings/Insights We use the socioemotional wealth theory to examine the impact of non‐family shareholder governance on family firms' digital transformation. We find that the influence of non‐family shareholder governance by appointing directors...

article

Digital transformation and environmental performance: Evidence from Chinese resource‐based enterprises

Qiong Xu, Xin Li, Fei Guo

Corporate Social Responsibility and Environmental Management > 30 > 4 > 1816 - 1840

Digitalization is of great significance for resource‐based enterprises to break through the dual constraints of resource and environment. Based on the data of China's A‐share resource‐based listed enterprises, this study empirically examines the direct effect and transmission mechanism of digital transformation on the enterprises' environmental performance. The study finds that digital transformation...

article

Measuring text similarity and its associated factors in electronic nursing progress notes: A retrospective review

Danielle Ritz Shala, Suzanne Sheppard‐Law

Journal of Clinical Nursing > 32 > 11-12 > 2733 - 2741

Aims and objectives To measure text similarity in electronic nursing progress notes and determine factors associated with text similarity. Background Electronic clinical notes with redundant information masks clinically relevant information, increases clinicians’ cognitive burden and undermines patient safety. Design Retrospective review of electronic medical record nursing progress notes. ...

article

What affects the quality of sustainability report texts? Evidence from China

Zhengxin Zhang, Bing Xu, Piao Li

Corporate Social Responsibility and Environmental Management > 30 > 3 > 1440 - 1456

We relied on web crawlers and text analysis techniques to develop a new method for measuring the quality of sustainability report texts, and accordingly discussed the impact of chief executive officers' (CEOs') characteristics on the quality of sustainability report texts. We found that companies led by younger CEOs and CEOs with better‐educated, financial and overseas backgrounds provided higher...

article

Application of explainable artificial intelligence in software bug classification

Łukasz Chmielowski, Michał Kucharzak, Robert Burduk

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska > 2023 > T. 13, nr 1 > 14--17

Fault management is an expensive process and analyzing data manually requires a lot of resources. Modern software bug tracking systems may be armed with automated bug report assignment functionality that facilitates bug classification or bug assignment to proper development group.For supporting decision systems, it would be beneficial to introduce information related to explainability. The purpose...

article

Minding the gap‐relating disclosure to contexts of sustainability reporting in the automotive industry

Imke Rhoden, Christopher Stephen Ball, Stefan Vögele, Wilhelm Kuckshinrichs

Corporate Social Responsibility and Environmental Management > 30 > 2 > 846 - 857

Sustainability is a major issue in the automotive sector and players are at different points in their transition. Adopting a multi‐method approach, we identify the positioning of automotive manufacturers in relation to sustainability, highlighting the main foci of their sustainability strategies. This is achieved using a topic model based on automated language processing. Subsequently, we use a Seemingly...

article

Trends in animal translocation research

Maldwyn J. Evans, Jennifer C. Pierson, Linda E. Neaves, Iain J. Gordon, more

Ecography > 2023 > 3 > n/a - n/a

Translocations are an important conservation tool that enable the restoration of species and their ecological functions. They are particularly important during the current environmental crisis. We used a combination of text‐analysis tools to track the history and evolution of the peer‐reviewed scientific literature on animal translocation science. We compared this corpus with research showcased in...

article

Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents

Milan Miric, Nan Jia, Kenneth G. Huang

Strategic Management Journal > 44 > 2 > 491 - 519

Research Summary Researchers increasingly use unstructured text data to construct quantitative variables for analysis. This goal has traditionally been achieved using keyword‐based approaches, which require researchers to specify a dictionary of keywords mapped to the theoretical concepts of interest. However, recent machine learning (ML) tools for text classification and natural language processing...

article

BEHAVIORAL INSIGHTS FROM CROWDFUNDING FINANCING: WHAT DO SOCIAL MEDIA TIES, EMOTIONAL CUES AND SENTIMENT TELL US?

Jan Janků, Zuzana Kučerová, František Dařena

Ekonomický časopis (Journal of Economics) > 2023 > 71 > 2 > 89 – 118

The aim of this paper is to identify the factors that contribute to the successful funding of crowdfunding projects, with a focus on conventional, social media and affective factors. Our unique dataset contains 267,830 Kickstarter projects from the U.S., Australia, Canada, the U.K., and Europe. In addition to determinants based on conventional factors, we study the textual characteristics of a project’s...

article

Fenomén #scicomm: využití big data a jejich analýzy při sledování komunikace vědy na internetových stránkách českých výzkumných organizací

Petra Raudenská, Renáta Topinková

Sociologický časopis. Czech Sociological Review > 2023 > 59 > 4 > 387-415

This study focused on science communication on the websites of Czech research institutions. Particularly, we inquired to what extent Czech science is shared with the public on the Internet and what differences can be found between the websites of social and natural science institutions. Textual analysis revealed that on the scientific websites, terms like ‘science’ and ‘popularization’ occurred together...

article

Insights into attitudes towards financial innovations by its users

Kristina Garškaitė-Milvydienė, Nijolė Maknickienė, Manuela Tvaronavičienė

Polish Journal of Management Studies > 2023 > Vol. 27, No. 2 > 106--119

Significant technological advances have determined the importance of FinTech firms worldwide; they attract substantial investment and put competitive pressure on banks providing traditional services. The development of financial innovations challenges users accustomed to classical financial solutions since trust in financial technologies requires risk assessment, which becomes increasingly complicated...

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TEXT ANALYSIS (4,882)
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SUPPORT VECTOR MACHINE CLASSIFICATION (136)
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VIDEO SIGNAL PROCESSING (96)
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SPEECH RECOGNITION (95)
ELECTRONIC MAIL (93)
SVM (93)
ROBUSTNESS (92)
XML (91)
DISTANCE MEASUREMENT (90)
KNOWLEDGE BASED SYSTEMS (90)
IMAGE RECOGNITION (88)
EQUATIONS (87)
GRAPH THEORY (85)
PATTERN MATCHING (85)
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Search results

Combining text analytics and network path extraction to trace CSR in the social sciences: Intellectual structures and diffusion trajectories

Effects of Increased Transparency on Political Divides and MP Behavior: Evidence from Televised Question Hours in the Finnish Parliament

Nowcasting Euro area GDP with news sentiment: A tale of two crises

Understanding regulation using the Institutional Grammar 2.0

Talking representation: How legislators re‐establish responsiveness in cases of representational deficits

Heterogeneity in needs and purchases in Australian retirees

Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture

Unexpected consequence of enterprise digital transformation on financial investments

Central bank communication and social media: From silence to Twitter

Non‐family shareholder governance and the digital transformation of family firms: Evidence from China

Digital transformation and environmental performance: Evidence from Chinese resource‐based enterprises

Measuring text similarity and its associated factors in electronic nursing progress notes: A retrospective review

What affects the quality of sustainability report texts? Evidence from China

Application of explainable artificial intelligence in software bug classification

Minding the gap‐relating disclosure to contexts of sustainability reporting in the automotive industry

Trends in animal translocation research

Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents

BEHAVIORAL INSIGHTS FROM CROWDFUNDING FINANCING: WHAT DO SOCIAL MEDIA TIES, EMOTIONAL CUES AND SENTIMENT TELL US?

Fenomén #scicomm: využití big data a jejich analýzy při sledování komunikace vědy na internetových stránkách českých výzkumných organizací

Insights into attitudes towards financial innovations by its users

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