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Do fraudulent firms produce abnormal disclosure?

Hoberg, Gerard; Lewis, Craig M. - In: The journal of corporate finance : contracting, … 43 (2017), pp. 58-85

Persistent link: https://www.econbiz.de/10011704758

Bug severity assessment in cross project context and identifying training candidates

Singh, V. B.; Misra, Sanjay; Sharma, Meera - In: Journal of information & knowledge management : JIKM 16 (2017) 1, pp. 1-30

Persistent link: https://www.econbiz.de/10011707693

Accommodation eWOM in the sharing economy : automated text comparisons from a large sample

Pitt, Christine; Plangger, Kirk; Eriksson, Theresa - In: Journal of hospitality marketing & management 30 (2021) 2, pp. 258-275

Persistent link: https://www.econbiz.de/10012423292

Big data of innovation literature at the firm level : a review based on social network and text mining techniques

Lerena, O.; Barletta, F.; Fiorentin, F.; Suárez, Diana; … - In: Economics of innovation and new technology 30 (2021) 2, pp. 134-150

Persistent link: https://www.econbiz.de/10012423897

Real estate dictionaries across space and time

Nowak, Adam; Price, Bradley S.; Smith, Patrick - In: The journal of real estate finance and economics 62 (2021) 1, pp. 139-163

Persistent link: https://www.econbiz.de/10012428387

corona100d : German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV

Rieger, Jonas; Nordheim, Gerret von - 2021 - Version 1.0, February 2021

In this paper, we present a German-language Twitter dataset related to the Covid-19 pandemic. We show how the R (R Core Team 2020) package rtweet (Kearney 2019) and a combination of keywords can be used to create the dataset and provide a way to rehydrate most of the tweets. The dataset consists...

Persistent link: https://www.econbiz.de/10012430371