http://hdl.handle.net/10027/7303 Wed, 22 May 2013 01:39:36 GMT 2013-05-22T01:39:36Z http://hdl.handle.net/10027/8758 Confessions of a Job Crafter: How We Can Increase the Passion Within and the Impact of Our Profession Brickson, Shelley Job crafting, engaging in practices that alter our jobs for the better, has enormous potential to enliven scholars and to enhance our field’s societal impact. Drawing upon a personal tale, I outline various job crafting techniques in which I have engaged and note how these practices have transformed the level of satisfaction I feel for my job, profession, and life, while also enriching the quality of my research and teaching contributions. As profoundly positive as has been my experience with job crafting, I have also encountered some significant systemic obstacles. For the tenured, such obstacles would likely be frustrating, constraining passion and undermining contributions. For the untenured, many become pitfalls that can endanger careers. I address some of the obstacles that I encountered while engaging in job crafting practices, framing them in terms of what we can do to remove them. I am optimistic that, collectively, we can dramatically diminish and even abolish the obstacles outlined here for the benefit of scholars, the field, and society. © Brickson. Post print version of article may differ from published version. The definitive version is available through SAGE Publications at DOI:10.1177/1056492611399022 Sat, 01 Jan 2011 06:00:00 GMT http://hdl.handle.net/10027/8758 2011-01-01T06:00:00Z http://hdl.handle.net/10027/8499 Confessions of a Job Crafter: How We Can Increase the Passion Within and the Impact of Our Profession Brickson, Shelley Job crafting, engaging in practices that alter our jobs for the better, has enormous potential to enliven scholars and to enhance our field’s societal impact. Drawing upon a personal tale, I outline various job crafting techniques in which I have engaged and note how these practices have transformed the level of satisfaction I feel for my job, profession, and life, while also enriching the quality of my research and teaching contributions. As profoundly positive as has been my experience with job crafting, I have also encountered some significant systemic obstacles. For the tenured, such obstacles would likely be frustrating, constraining passion and undermining contributions. For the untenured, many become pitfalls that can endanger careers. I address some of the obstacles that I encountered while engaging in job crafting practices, framing them in terms of what we can do to remove them. I am optimistic that, collectively, we can dramatically diminish and even abolish the obstacles outlined here for the benefit of scholars, the field, and society. © 2011 by SAGE Publications, Journal of Management Inquiry DOI: 10.1177/1056492611399022 Wed, 01 Jun 2011 05:00:00 GMT http://hdl.handle.net/10027/8499 2011-06-01T05:00:00Z http://hdl.handle.net/10027/8321 Estimating DEA Confidence Intervals with Statistical Panel Data Analysis Barnum, Darold; Schumock, Glen T.; Shields, Karen L.; Walton, Surrey M. There is a conflict between Data Envelopment Analysis (DEA) theory's requirement that inputs (outputs) be substitutable, and the ubiquitous use of nonsubstitutable inputs and outputs in DEA applications to hospitals. This paper develops efficiency indicators valid for nonsubstitutable variables. Then, using a sample of 87 community hospitals, it compares the new measures' efficiency estimates with those of conventional DEA measures. DEA substantially overestimated the hospitals' efficiency on the average, and reported many inefficient hospitals to be efficient. Further, it greatly overestimated the efficiency of some hospitals but only slightly overestimated the efficiency of others, thus making any comparisons among hospitals questionable. These results suggest that conventional DEA models should not be used to estimate the efficiency of hospitals unless there is empirical evidence that the inputs (outputs) are substitutable. If inputs (outputs) are not substitutes, efficiency indicators valid for nonsubstitutability should be employed, or, before applying DEA, the nonsubstitutable variables should be combined using an appropriate weighting scheme or statistical methodology. Post print version of article may differ from published version. The original publication is available at springerlink.com; DOI: 10.1007/s10916-009-9416-0 Thu, 15 Dec 2011 06:00:00 GMT http://hdl.handle.net/10027/8321 2011-12-15T06:00:00Z http://hdl.handle.net/10027/8153 Measuring Efficiency under Fixed Proportion Technologies Barnum, Darold T.; Gleason, John M. Data Envelopment Analysis (DEA) applications frequently involve nonsubstitutable inputs and nonsubstitutable outputs (that is, fixed proportion technologies). However, DEA theory requires substitutability. In this paper, we illustrate the consequences of nonsubstitutability on DEA efficiency estimates, and we develop new efficiency indicators that are similar to those of conventional DEA models except that they require nonsubstitutability. Then, using simulated and real-world datasets that encompass fixed proportion technologies, we compare DEA efficiency estimates with those of the new indicators. The examples demonstrate that DEA efficiency estimates are biased when inputs and outputs are nonsubstitutable. The degree of bias varies considerably among Decision Making Units, resulting in substantial differences in efficiency rankings between DEA and the new measures. And, over 90 percent of the units that DEA identifies as efficient are, in truth, not efficient. We conclude that when inputs and outputs are not substituted for either technological or socio-economic/legal reasons, conventional DEA models should be replaced with models that account for nonsubstitutability. Post print version of article may differ from published version. The original publication is available at springerlink.com; DOI: 10.1007/s11123-010-0194-y. Wed, 01 Jun 2011 05:00:00 GMT http://hdl.handle.net/10027/8153 2011-06-01T05:00:00Z