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229 results for “Businesses”
Be A Quitter: Illinois Small Business EX Program Dissemination
ClinicalTrials.gov study NCT07097194. IPD Sharing: NO. Countries: 1. Publications: 0.
IMPROVEMENT AND REGULATION OF THE MECHANISM OF ATTRACTING DIRECT INVESTMENTS TO SMALL BUSINESS ACTIVITIES
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Multi-dimensional author profiling by business roles
<p>This dataset contains the data used in the paper "Multidimensional Author Profiling for Social Business Intelligence", more specifically, the gold standard (GS) and silver standard (SS) created for training and validating text classifiers for business profiling of social network users.</p> <p>The GS dataset is a CSV file with the following columns:</p> <div> <div> <ul> <li>screen-name, user-id, verified-user (boolean), <strong>multi-level-label</strong>, <strong>manual-verification</strong>, textual-description, followers (int), friends (int), source (not used)</li> </ul> </div> <div>The attribute "multi-level label" contains label represeting the user business profile, regarding the three perspectives: <em>role</em>, <em>colective-vs-individual</em>, and <em>on-domain</em> ones. The attribute "manual-verification" is a second pass from experts to validate the assigned label.</div> <div> </div> <div>The SS dataset is a "|"-separated text file with the following columns:</div> <div> <ul> <li> <div>screen-name|user-id|verified-user|<strong>multi-level-label</strong>|textual-description</div> <div> </div> </li> </ul> </div> <div>The SS dataset is generated with an unsupervised method through an initial seed of bigrams. Therefore, the dataset can contain wrong and incomplete labels, hence the name silver standard (SS).</div> <div> </div> <div>As data is captured from Twitter, we can only relase it under restricted conditions.</div> </div>
Busy man talking at the mobile
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1661453629.8435.jpg">https://4dcity.org/imgupload/1661453629.8435.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52269774305_f327a8a800_m.jpg">https://live.staticflickr.com/65535/52269774305_f327a8a800_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1661453629.8435.jpg<br>Image Dimensions: 160x240<br>Megapixels: 0.04 MP<br>Filesize: 13.22 KB<br><br>Copyright: Gianfranco Iennaco<br>ExifOffset: 122<br>Artist: Iennaco Gianfranco; Gianfranco Iennaco
There is or was a business in Bonn called "Schaumburg"
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665393212.1703.jpg">https://4dcity.org/imgupload/1665393212.1703.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52192527948_b8b879c95a_m.jpg">https://live.staticflickr.com/65535/52192527948_b8b879c95a_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665393212.1703.jpg<br>Image Dimensions: 240x180<br>Megapixels: 0.04 MP<br>Filesize: 20.63 KB<br><br>ExifOffset: 38
Sustainable Energy Adoption for Small Businesses in Cape Coast, Ghana: An Economic and Impact Assessment
<p>The research focused on assesing the impact of implementing solar photovoltaic systems cutomized for Small and Medium Scale Enterprises within the Cape Coast Metropolitan area in the Central Region of Ghana.</p>
High performance work practices in family business
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Cognitive proximity, business cycles, and the fate of VC-backed startups: evidence from a worldwide 34-year-long dataset
<p>To estimate the influence of proximities on VC-backed startups' fate, we extracted data on startups and their VC investors over 34 years between 1980 and 2014. The data were extracted from Dow Jones’ VentureSource data platform. They cover VC deals in sixty-eight countries worldwide. We selected only startups financed by a VC round at least once in their lifetime. They belong to twenty-four industrial sectors (GICS 3-digit). We collected the available information on their financing rounds, investors and investment types, industry segments, and localization. For each startup in the dataset, we obtained information on VC funding rounds (“seed, 1st, 2nd, …, 9th, later, restart”) and on other sources of new funding, such as private equity investments and debt funding. Some of these funding rounds are exit events: acquisitions, mergers, IPOs or SPOs, and court liquidations. When VC investors liquidate their investments, and some new non-VC investors take over, the company is no longer VC-backed; thus, it is no longer tracked in the database. Consequently, the dataset exhibits a duration/survival structure: startups in the cross-sectional dimension but funding or exit event dates instead of calendar dates in the longitudinal dimension. The sample covers 51,969.</p>
Business grant following natural disasters and its different impact on the performance of female and male-owned microenterprises: Evidence from Sri Lanka
<p><strong><em>Objective</em></strong></p> <p>This paper investigates gender differences in the treatment effects of business grants on firm performance following natural disasters, and seeks to identify the mechanisms underlying the unequal effects.</p> <p><strong><em>Method</em></strong></p> <p>A panel dataset from an experiment in Sri Lanka is used to measure the difference in the treatment effects of a business grant on the performance of female and male-owned firms following the 2004 Indian Ocean tsunami. The sample of 608 microenterprises includes 297 female-owned firms and 311 male-owned firms. There are 338 firms (male = 176, female = 162) in the treatment group that received the grant and 270 firms (male = 135, female = 135) in the control group that did not receive the grant. Data on firm performance, firm characteristics and owner characteristics were collected in 13 survey waves from April 2005 to December 2010. Firm performance, which is measured by firm profit, is assessed by employing linear regression with fixed effects in an intention-to-treat analysis.</p> <p><strong><em>Findings</em></strong></p> <p>The results suggest that the business grant has a positive impact on the performance of male-owned firms, but zero effect on that of female-owned firms. Several potential mechanisms drive the results, including gender differences in business investment, household expenditures and initial business closures. The results also show a positive treatment effect of the business grant on the psychological recovery of recipients, but there is no evidence supporting gender differences in this dimension.</p> <p><strong><em>Contribution</em></strong></p> <p>This paper provides new evidence on gender differences in the treatment effects of business grants on firm performance in the context of post-disasters, and has implications for business recovery programs aimed at supporting female microentrepreneurs in the aftermath of large-scale catastrophes.</p>
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