An analysis of staffing efficiency in US manufacturing: 1983 and 1989

被引:4
作者
Ward, PT
Storbeck, JE
Mangum, SL
Byrnes, PE
机构
[1] OHIO STATE UNIV,FISHER COLL BUSINESS,COLUMBUS,OH 43210
[2] PERFORMANCE MANAGEMENT ASSOCIATES,BLANCO,TX 78606
[3] OHIO STATE UNIV,SCH PUBL POLICY,COLUMBUS,OH 43210
关键词
Data Envelopment Analysis; Efficiency Score; Data Envelopment Analysis Model; Standard Industrial Classification; Staffing Pattern;
D O I
10.1023/A:1018901916907
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
A DEA framework is used to examine changes in administrative employment in U.S. manufacturing industries between 1983 and 1989, using data collected by the U.S. Department of Labor. Among other findings, the analysis suggests that production technology is an important factor in explaining inter-industry differences in administrative staffing. In addition, ''best practice'' staffing efficiencies for Batch industries are shown to hold a distinct (and statistically significant) advantage over that for Line industries. On related issues, this research uncovers no evidence of the ''dramatic decreases'' in overhead staffing that were suggested in the popular business press during this time period. Clear structural differences in administrative staffing intensities, however, are noted with respect to manufacturing production technology. In their usage of overhead staff, Batch industries tend to be more ''professional-worker'' intensive, while Line industries are relatively more ''non-professional-worker'' intensive. These patterns hold up over time and are statistically confirmed in an analysis of DEA ''cones''.
引用
收藏
页码:67 / 89
页数:23
相关论文
共 50 条
[21]   Empirical analysis of regions of Mainland China's manufacturing efficiency promotion: Experience and lessons [J].
Song, Ma-lin ;
Zhang, Wei ;
Wu, Jie .
AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2011, 5 (20) :8313-8321
[22]   Productivity Growth and Efficiency Differences in Indian Manufacturing Sector: An Inter-State Analysis [J].
Arora, Neha ;
Singh, Parminder .
INDIAN JOURNAL OF ECONOMICS AND DEVELOPMENT, 2020, 16 (01) :43-50
[23]   Using Grey Relation Analysis and TOPSIS to Measure PCB Manufacturing Firms Efficiency in Taiwan [J].
Wang, Rong-Tsu .
ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT III, 2011, 6677 :370-379
[24]   Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of US power plants [J].
Hampf, Benjamin ;
Rodseth, Kenneth Lovold .
ENERGY ECONOMICS, 2019, 81 :610-625
[25]   Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US [J].
Momparler, Alexandre ;
Lassala, Carlos ;
Ribeiro, Domingo .
SERVICE BUSINESS, 2013, 7 (04) :641-663
[26]   Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US [J].
Alexandre Momparler ;
Carlos Lassala ;
Domingo Ribeiro .
Service Business, 2013, 7 :641-663
[27]   Environmental Efficiency and Its Determinants for Manufacturing in China [J].
Wang, Xu ;
Han, Liyan ;
Yin, Libo .
SUSTAINABILITY, 2017, 9 (01)
[28]   International Comparison on the Efficiency of Manufacturing Technological Innovation [J].
Lv, Hong ;
Li, Lianshui ;
Tao, Zhaoling .
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 6: MODELLING & SIMULATION INDUSTRIAL ENGINEERING & MANAGEMENT, 2010, :248-251
[29]   The Determinants of Technical Efficiency of Manufacturing Firms in Ghana [J].
Faruq, Hasan A. ;
Yi, David T. .
GLOBAL ECONOMY JOURNAL, 2010, 10 (03)
[30]   Maximum slacks-based measure of efficiency in network data envelopment analysis: A case of garment manufacturing [J].
Kao, Chiang .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2024, 123