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Abstract
Measuring productivity is an important performance measure for decision making and resource allocation in managerial accounting. One factor which may affect labor productivity is the use of multiple work arrangements (MWA) such as fulltime employees, contract workers and independent contractors. Most of the prior research in accounting on MWA focused on the behavioral aspects of different work scenarios. There has been limited research in managerial accounting about the impact of MWA on the economics of labor productivity which is the focus of this study. This paper examines the economic impact of MWA in long haul trucking companies. Specifically, we investigated the use of independent contractors (owner-operator drivers) versus fulltime company drivers and their impact on labor productivity. In a managerial context, owner-operators represent soft capacity and company drivers represent hard capacity. Our results indicate that owner-operators will improve the productivity of the company. There is a significant and positive association between the use of owner-operators and labor productivity. Prior studies did not find this positive relationship. Our results indicate that owner-operators can influence the variance of labor productivity either positively or negatively. However, there is more variability associated with the performance of owner-operators than there is with company drivers.
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Abstract
Measuring productivity is an important performance measure for decision making and resource allocation in managerial accounting. One factor which may affect labor productivity is the use of multiple work arrangements (MWA) such as fulltime employees, contract workers and independent contractors. Most of the prior research in accounting on MWA focused on the behavioral aspects of different work scenarios. There has been limited research in managerial accounting about the impact of MWA on the economics of labor productivity which is the focus of this study. This paper examines the economic impact of MWA in long haul trucking companies. Specifically, we investigated the use of independent contractors (owner-operator drivers) versus fulltime company drivers and their impact on labor productivity. In a managerial context, owner-operators represent soft capacity and company drivers represent hard capacity. Our results indicate that owner-operators will improve the productivity of the company. There is a significant and positive association between the use of owner-operators and labor productivity. Prior studies did not find this positive relationship. Our results indicate that owner-operators can influence the variance of labor productivity either positively or negatively. However, there is more variability associated with the performance of owner-operators than there is with company drivers.