scholarly journals Cargo Handling By Truckers And Competitive Advantage: Is There A Relationship?

2011 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Jeff Kennedy

The transportation industry is one of the largest employers in the United States. In fact, employment in the transportation industry is expected to increase from 4,205,000 jobs in 2002 to 5,120,000 jobs in 2012, an increase of 914,000 jobs, with truck drivers, including heavy and tractor-trailer drivers adding 337,000 new jobs (U.S. Bureau of Labor Statistics, 2006 and NAICS Industry Data, 2004). Truck drivers are a valuable and unique resource in today's economy because companies rely on trucks to pick up and deliver merchandise. No other mode of transportation delivers door-to-door. While some goods may travel most of the way by ship, train, or airplane, almost every good is carried by truck at some point en route to its destination. (West, 1-46)

2020 ◽  
Vol 3 (1) ◽  
pp. 1-27
Author(s):  
John Pencavel

PurposeThe purpose is to evaluate the performance of consumers' cooperatives in the United States over the last 100 years. This evaluation is based on an overlooked series of surveys undertaken by the U.S. Bureau of Labor Statistics between 1920 and 1950. Where possible, the series are brought up to date.Design/methodology/approachThe surveys did not follow a single consistent organization. Therefore, the observations require rearrangement so that a single meaningful design is achieved.FindingsIn a number of instances, consumers' cooperatives have not merely survived but thrived. Indeed, some of their original and continuing methods of operation have been copied and adopted by firms that are not cooperatives.Originality/valueThe series constructed are original and singular. The author knows of no such comparable data.


Author(s):  
Jochen Hartwig ◽  
Bernd Schips

ZusammenfassungDer Aufsatz gibt einen Überblick über die Quellen von Verzerrungen des US-amerikanischen Konsumentenpreisindexes (CPI) nach oben sowie nach unten und diskutiert die Maßnahmen, die das Bureau of Labor Statistics ergriffen hat, um sie zu beseitigen. Die verbliebenen Verzerrungen werden quantifiziert. Weiterhin wird die Frage aufgeworfen, um wie viel die Veränderungen in der Berechnungsweise des CPI die Wachstumsraten des „realen“ US-Bruttoinlandsprodukts angehoben haben. Es erweist sich, dass die Divergenz in den Wachstumsraten der USA und der EU seit 1997 fast zur Gänze auf unterschiedliche Berechnungsweisen zurückgeführt werden kann.


Author(s):  
Rong Huangfu ◽  
Robert Granzow ◽  
Sean Gallagher ◽  
Mark Schall

Every year, the United States Bureau of Labor Statistics (BLS) collects and publishes important information on the number and types of occupational injuries and illnesses affecting workers across all industries. Researchers, occupational safety and health professionals, epidemiologists and industry groups rely on this data to make conclusions about past, present, and future injury and illness trends. The data are also very important in determining the root causes of workplace injury and developing effective interventions. The BLS provides two web tools to query nonfatal injury data from the database. However, one of the tools is no longer functioning, while the other has relatively low query efficiency (more than twenty seconds per query) as tested in this study. Furthermore, there is no data visualization tool provided to help display the queried information. easyBLS (Desktop and web version) was developed to query information from the BLS database with relatively high efficiency (less than one second per query). This tool also provides two data visualization tools (line graph and map) to help users to better interpret the queried information. easyBLS web version is available to the public at http://easybls.pythonanywhere.com/ .


2021 ◽  
Vol 6 (4) ◽  
pp. 170-175
Author(s):  
David C. Wyld

The “shock” of the onset of the COVID-19 pandemic set about wholesale changes across American life, impacting the way we socialized, shopped, and yes, worked. There were significant disruptions across the business landscape in the United States, accompanied by significant job losses, starting in March 2020. In this article, we examine the size and scope of the changes in employment that took place in the U.S. at the start of the COVID-19 pandemic and during the recovery period up through April 2021. Utilizing official government data from the Bureau of Labor Statistics, the author examines how the pandemic caused both widespread job losses and record-setting levels of unemployment but had differential effects across a variety of industries. Then, the author looks at the recovery period, examining the recovery in employment has been unequally distributed across the United States, with differentiations between both urban and rural areas and between metropolitan areas across the county. The article concludes with a look at what this means for the future of work and for management moving forward - hopefully - into the post-pandemic period.


1968 ◽  
Vol 32 (2) ◽  
pp. 62-68 ◽  
Author(s):  
Sidney Goldstein

The number of aged spending units in the United States has increased dramatically. What impact has this had on the contribution of the aged to aggregate expenditures and to the outlays for specific goods and services? The answers to these questions, derived from analysis of the 1950 and 1960–61 Bureau of Labor Statistics Consumer Surveys, has special relevance for consumer market analysis.


2014 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
Orlando Rivero

The United States unemployment rate continues to be a focal point of discussion. Although in July 2012, the United States Bureau of Labor Statistics reported an 8.3% unemployment rate in America, this figure only reflects workers between the ages of 16 and older. With this being said, there is a segment of the population unrepresented within the totality of the United States unemployment rate reported. Younger workers between the ages of 16 to 24 years of age have sustained a much higher unemployment rate as compared to older workers. Unfortunately, 93% of these younger workers do not have a high school diploma and the majority of these workers were supporting families. The purpose of this article is to examine several components of the unemployment rate as it relates to younger workers between the ages of 16 to 24 years of age. Recommendations will be offered in an effort to improve employment sustainability among younger workers, which has been an issue that has been ignored for several years until recently.


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