The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics

The annual revenue generated by ASGN Incorporated, formerly On Assignment, increased steadily between 2019 and 2022. In 2023, however, overall revenues decreased slightly. The commercial segment of the company generated a revenue of approximately 3.2 billion U.S. dollars compared to 3.4 billion U.S. dollars in 2022.

Dataset

This dataset was created by ozgurd5

Released under Apache 2.0

Contents

The International Assignment Service (IAS) market has emerged as a crucial component of global business operations, facilitating the seamless relocation of employees across borders. This service encompasses various activities, including visa procurement, relocation assistance, cultural training, and integration supp

This page provides the data resulting from linking assignees and assignors in the USPTO Patent Assignment Dataset to Compustat gvkeys. We work with a version of the USPTO PAD that was gracefully shared with us by Stuart Graham. Such version precedes by one year the first release available at the USPTO website (https://www.uspto.gov/ip-policy/economic-research/research-datasets/patent-assignment-dataset). The version that we use covers 5,534,135 transactions recorded at the USPTO between January 1970 and January 2013 (inclusive). While the first transaction date is January 1970, the number of transactions recorded in the initial years is negligible. Data coverage seems sufficient for the years 1981-2012.

If you use the code or data, please cite the following two papers:

Arque-Castells, P., and Spulber, D. (2022). Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets. Journal of Political Economy. https://doi.org/10.1086/719908

Arqué Castells, Pere and Spulber, Daniel F., Firm Matching in the Market for Technology: Business Stealing and Business Creation (September 17, 2021). Northwestern Law & Econ Research Paper No. 18-14, Available at SSRN: https://ssrn.com/abstract=3041558 or http://dx.doi.org/10.2139/ssrn.3041558

Dataset

This dataset was created by Raj V Jain

Contents

It contains the following files:

Dataset

This dataset was created by Esat Dalbudak

Released under MIT

Contents

Japan IIPH: Workers: Current: Business and Homework data was reported at 3,544.000 JPY in Sep 2018. This records an increase from the previous number of 3,092.000 JPY for Aug 2018. Japan IIPH: Workers: Current: Business and Homework data is updated monthly, averaging 2,741.000 JPY from Jan 2000 (Median) to Sep 2018, with 225 observations. The data reached an all-time high of 6,035.000 JPY in Apr 2001 and a record low of 1,692.000 JPY in May 2012. Japan IIPH: Workers: Current: Business and Homework data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H034: Income and Expenditure Survey: Include Agriculture, Forestry & Fisheries: By Workers Households.

The number of contract professionals employed by ASGN Incorporated worldwide fluctuated between 2016 and 2023, and peaked at 63,400 in 2019. In 2023, the U.S. professional staffing company more than halved ots contract professionals to 23,500.

Japan ARPH: Single Worker: CI: Business & Homework data was reported at 57.000 JPY in Jun 2018. This records a decrease from the previous number of 160.000 JPY for Mar 2018. Japan ARPH: Single Worker: CI: Business & Homework data is updated quarterly, averaging 406.500 JPY from Mar 2000 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 3,354.000 JPY in Jun 2016 and a record low of 0.000 JPY in Sep 2014. Japan ARPH: Single Worker: CI: Business & Homework data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H059: Average Monthly Receipt and Disbursement per Households: Single Worker Households: Quarterly.

Dataset

This dataset was created by Raj V Jain

Contents

A 2024 survey of end users and IT professionals worldwide revealed that the users who represented the most risk online were those who had business privilege and access to critical data. Click happy users and users who consistently failed to complete training assignment followed, each highlighted by 56 percent of respondents.

Replication Data for: China's Non-Ferrous Metal Resource Recycling Technology Convergence and driving factors: A quadratic assignment procedure analysis based on Patent Collaboration-Based Network Structural Hole.

Dataset

This dataset was created by antonio sanchez

Contents

Table NameRetail Trade: Subject Series - Estab & Firm Size: Summary Statistics by Legal Form of Organization for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in the first quarter of 2016.Key TableInformationRelated data can be found in EC1244SSSZ1 through EC1244SSSZ6 which present data by employment and sales size of establishments and firms, single unit and multiunit firms, and concentration by largest firms for the United States. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Retail Trade (Sector 44-45).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2-digit and selected 3- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:Establishments Sales Annual payroll First-quarter payroll Paid employeesEach record includes a LFO code which represents a specific legal form of organization of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector44/EC1244SSSZ7.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. SeeTable Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

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Anti-plagiarism Software for Education Sector Industry Report - Forecast and Analysis 2023-2027

This market research report predicts the statistics about the market size growth that will grow by USD 2,608.33 million. The anti-plagiarism software market for education sector has potential to grow at a projected CAGR of 22.87% during 2022-2027, that is the forecast period for this report as per our data and research experts. There are so many factors that directly affect the anti-plagiarism software market for education sector growth such as favorable government initiatives, better standards for the doctoral programs, and growing number of online assignment and the project submission platforms.

The projected incremental growth momentum presents a positive outlook for the market as well as the respective investors and they will further reinforce the position of vendors in the market.

Our researchers provide the major statistical predictions about some key market drivers via thorough data and information analysis. One of these market drivers is the growing number of online assignment and the project submission platforms that is helpful in the anti-plagiarism software market for education sector growth. Although there are other factors such as prevalence of the free anti-plagiarism software compromising academic integrity may affect the market growth negatively.

In addition, there are some key vendors operating in the market, listed below:

Copyleaks Technologies Ltd.
PlagTracker
Grammarly Inc.
Plagiarismanalyzer.com
Plagiarism Checker X LLC
PlagScan GmbH
I3 TECHNOLOGY Ltd.
PrePost SEO
DupliChecker.com Inc.

The precisely illustrated statistical data consists of some key market information and analysis to get a better understanding of specific business requirement. Technavio, also has the subscription platform having an instant lifetime access to the 17,000+ market reports and the world-class market intelligence at customized plans and rates.

Table NameProfessional, Scientific, and Technical Services: Subject Series: Estab & Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1254SSSZ1 through EC1254SSSZ5 and EC1254SSSZ7 present data by employment and receipts/revenue size for establishments and firms, single unit and multiunit firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Professional, Scientific, and Technical Services (Sector 54).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Establishments.Receipts/Revenue.Receipts/Revenue of largest firms as a percent of total receipts/revenue.Annual payroll.First-quarter payroll.Paid employees.Each record includes a CONCENFI code which represents a specific firm concentration category (including all firms, 4 largest firms, 8 largest firms, 20 largest firms, and 50 largest firms).FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector54/EC1254SSSZ6.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only firms and establishments of firms with payroll. Excludes data for corporate, subsidiary, and regional managing offices and establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Table NameAdministrative and Support and Waste Management and Remediation Services: Subject Series: Estab & Firm Size: Summary Statistics by Receipts Size of Establishments for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1256SSSZ2 through EC1256SSSZ7 present data by employment and receipts size for establishments and firms, single unit and multiunit firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Administrative and Support and Waste Management and Remediation Services (Sector 56).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Receipts. Annual payroll. First-quarter payroll. Paid employees.Each record includes a RCPSZFE code which represents a specific receipts size category of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector56/EC1256SSSZ1.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

roblem Statement A bike-sharing system is a service in which bikes are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" which is usually computer-controlled wherein the user enters the payment information, and the system unlocks it. This bike can then be returned to another dock belonging to the same system. A US bike-sharing provider BoomBikes has recently suffered considerable dips in their revenues due to the ongoing Corona pandemic. The company is finding it very difficult to sustain in the current market scenario. So, it has decided to come up with a mindful business plan to be able to accelerate its revenue as soon as the ongoing lockdown comes to an end, and the economy restores to a healthy state. In such an attempt, BoomBikes aspires to understand the demand for shared bikes among the people after this ongoing quarantine situation ends across the nation due to Covid-19. They have planned this to prepare themselves to cater to the people's needs once the situation gets better all around and stand out from other service providers and make huge profits. They have contracted a consulting company to understand the factors on which the demand for these shared bikes depends. Specifically, they want to understand the factors affecting the demand for these shared bikes in the American market. The company wants to know:

Which variables are significant in predicting the demand for shared bikes. How well those variables describe the bike demands Based on various meteorological surveys and people's styles, the service provider firm has gathered a large dataset on daily bike demands across the American market based on some factors.

Business Goal: You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market.

Table NameReal Estate and Rental and Leasing: Subject Series - Estab & Firm Size: Summary Statistics by Revenue Size of Establishments for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1253SSSZ2 through EC1253SSSZ7 present data by employment and revenue size for establishments and firms, single unit and multiunit firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Real Estate and Rental and Leasing (Sector 53).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Revenue. Annual payroll. First-quarter payroll. Paid employees.Each record includes a RCPSZFE code which represents a specific revenue size category of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector53/EC1253SSSZ1.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.